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Article

Is the Brain Undernourished in Alzheimer’s Disease?

1
Department of Biology and Biotechnology “Lazzaro Spallanzani”, University of Pavia, 27100 Pavia, Italy
2
Unit of Behavioral Neurology and Center for Cognitive Disorders and Dementia, IRCCS C. Mondino Foundation, 27100 Pavia, Italy
3
Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
4
Department of Biomedical Engineering of the Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, 27040 Montescano, Italy
5
Unità di Riabilitazione Neuromotoria Gravi Cerebrolesioni Acquisite, Istituti Clinici Scientifici Maugeri Spa Società Benefit, IRCCS, 27040 Montescano, Italy
6
Department of Drug Sciences, University of Pavia, 27100 Pavia, Italy
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(9), 1872; https://doi.org/10.3390/nu14091872
Submission received: 4 April 2022 / Revised: 22 April 2022 / Accepted: 25 April 2022 / Published: 29 April 2022
(This article belongs to the Section Clinical Nutrition)

Abstract

:
Cerebrospinal fluid (CSF) amino acid (AA) levels and CSF/plasma AA ratios in Alzheimer Disease (AD) in relation to nutritional state are not known. Methods: In 30 fasting patients with AD (46% males, 74.4 ± 8.2 years; 3.4 ± 3.2 years from diagnosis) and nine control (CTRL) matched subjects, CSF and venous blood samples were drawn for AA measurements. Patients were stratified according to nutritional state (Mini Nutritional Assessment, MNA, scores). Results: Total CSF/plasma AA ratios were lower in the AD subpopulations than in NON-AD (p < 0.003 to 0.017. In combined malnourished (16.7%; MNA < 17) and at risk for malnutrition (36.6%, MNA 17–24) groups (CG), compared to CTRL, all essential amino acids (EAAs) and 30% of non-EAAs were lower (p < 0.018 to 0.0001), whereas in normo-nourished ADs (46.7%, MNA > 24) the CSF levels of 10% of EAAs and 25% of NON-EAAs were decreased (p < 0.05 to 0.00021). CG compared to normo-nourished ADs, had lower CSF aspartic acid, glutamic acid and Branched-Chain AA levels (all, p < 0.05 to 0.003). CSF/plasma AA ratios were <1 in NON-AD but even lower in the AD population. Conclusions: Compared to CTRL, ADs had decreased CSF AA Levels and CSF/plasma AA ratios, the degree of which depended on nutritional state.

Graphical Abstract

1. Introduction

There is currently no treatment able to stop the progression of Alzheimer’s disease dementia [1]. It is desirable that a future improved understanding of brain metabolic alterations in Alzheimer’s disease (AD) might provide the possibility of non-pharmacological interventions to prevent or slowdown the progression of this disorder.
Patients with AD (hereinafter ADs) have very complex brain metabolic alterations, including insulin and insulin growth factor 1 (IGF-1) resistances [2,3], reduced glucose transporters (Glut 1, Glut 3) [4], abnormal glycolysis pathway [5,6,7,8], oxidative stress [9,10,11,12] mitochondrial dysfunction [13,14] and altered mitochondrial enzyme activities [15,16,17,18,19,20], and disruption of Ca2+ homeostasis [21], all of which are factors leading to reduced brain glucose breakdown and utilization (Cerebral glucose hypometabolism: CGH), responsible for low energy generation (ATP). CGH precedes the onset symptoms of AD [22,23,24,25].
Lack of energy and oxidative stress, indeed, initiate and worsen over time the synaptic pathology in AD [12,14,26,27], as adequate energy availability is essential for normal synaptic activity [12]. Hyperoxidation of lipid, protein, nuclear and mitochondrial DNA is associated with plaques and tangles leading to synaptic dysfunction and disruption [12].
Abnormal mitochondrial enzyme activities are associated with cognitive impairment [28] and clinical disability [16]. Accumulations in mitochondria of Amyloid Beta (Aβ) and Amyloid Precursor Peptide (APP) make mitochondria dysfunctional [29].
In the context of CGH, the brain should rely on alternative substrates to generate energy, such as Amino Acids (AAs), lactate, pyruvate, and ketone bodies [30,31], given that it cannot rely on free fat acid oxidation due to the lack of enzymes responsible for β-oxidation in neurons [31]. With respect to AAs in the early onset of AD and experimentally induced hypoglycemia, elevated brain utilization of these substrates for energy generation has been indirectly documented through a large cerebral release of AAs and ammonia [32,33,34,35]. Elevated brain utilization of AAs could explain their reduced levels in the cerebrospinal fluid (CSF) of these subjects [36].
To the best of our knowledge, a comprehensive study on all standard individual and collective CSF AAs in their mutual interrelationships with the corresponding plasma levels, the metabolic development of AD markers and the patients’ nutritional state has not so far been carried out. We believe that the findings from such a type of study might prove useful for future investigations addressing the possibility of exogenously manipulating the brain’s amino acid metabolism.
In the current prospective, observational study, we hypothesized that patients with advanced AD, compared to non-AD subjects (NON-ADs), may have lower CSF AA levels and lower CSF/plasma AA ratios, suggesting brain overutilization of AAs. The rationale of our hypothesis is based on the following two arguments: first, the CSF compartment is in free communication with the interstitial fluid (ISF) surrounding neurons and glia [37] and drains the brain ISF [38], in this way removing the products of brain metabolism [39,40]. Second, in turn, the composition of CSF influences the composition of brain ISF and the neuronal function [37,41], reflecting the biochemical alterations of the brain in AD [40,42].
The second hypothesis we formulated was that the nutritional state of ADs could influence the AA levels in the CSF compartment and the CSF/plasma ratios, as circulating AAs, which normally enter the brain in mutual competition [43,44,45], may be reduced in malnourished ADs [46]. Following our reasoning, malnourished ADs compared to normo-nourished ones would exhibit even lower CSF AA levels and CSF/plasma ratios. Therefore, the study focused on determination of the levels of AAs in the CSF compartment and the CSF/plasma AA ratios in AD patients stratified according to nutritional state.

2. Methods

This prospective observational study included parts of the AD dementia and CTRL patient populations investigated by our team in a previous study [46], in whom cerebrospinal fluid (CSF) had been drawn from the lumbar tract. Summarized below are the subjects’ main characteristics and the procedures they underwent.
The patients were cognitively impaired (Mini Mental State Examination, MMSE, 18.4 ± 7.1 scores) and underwent diagnostic testing in the Department of General Neurology at the National Institute of Neurology IRCCS Mondino Foundation, Pavia, Italy, between 2014 and 2018.
Clinical diagnosis of dementia was formulated following the current research criteria for Alzheimer’s disease [47]. CTRL were selected among patients hospitalized in the same department for reasons unrelated to cognitive disorders or inflammatory diseases. The study was approved by the local Ethical Committee at the time of the previous study [47] (Project identification code: MAIR 2016; ethical approval: 130/INT/2016; date: 8 September 2016).
All procedures complied with the ethical standards of human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The study was approved by the local Ethics Committee (Project identification code: MAIR2016). Participants or their legal representatives provided written informed consent for participation in the study. No participant received financial compensation.

2.1. Procedures

2.1.1. Clinical Evaluation

All enrolled patients underwent complete clinical, neurological, and neuropsychological assessment and brain magnetic resonance imaging (MRI).
In addition to physical examination, routine blood tests, anthropometric measurements (body weight, BW, kg; height, cm; body mass index, BMI, kg/m2; Mid-Arm Circumference, MAC, cm), clinical evaluation and assessment of patients’ nutritional state by means of Mini Nutritional Assessment (MNA) score [48] were carried out. MNA score < 17 denotes a state of malnutrition, a score between 17 and 24 denotes risk of malnutrition, and a score > 24 identifies a normal nutritional state.

2.1.2. Plasma and CSF AA Measurements

In both ADs and CTRL, at 8 a.m. after 12 h of overnight fasting, blood samples were drawn from an antecubital vein and immediately delivered to the laboratory, where plasma was obtained from heparinized blood using centrifugation (800× g, 15 min) in order to measure plasma AA levels. At the same time, 2 mL of CFS samples were drawn from the lumbar tract and immediately delivered to the laboratory.
Using CSF and plasma AA levels the CSF/plasma AA ratios were calculated.

2.1.3. Assessment of AA Concentrations

The determination of AA concentrations, both in CSF and plasma, was achieved following the procedure described elsewhere [49]. AA concentrations were expressed in µmol/L. We measured all essential AAs (EAAs): lysine, threonine, phenylalanine, methionine, and tryptophan; the Branched-Chain AAs (BCAAs): leucine, valine, and isoleucine; and all non-essential AAs (NEAAs): aspartic acid, glutamic acid, histidine, asparagine, serine, glutamine, arginine, citrulline, glycine, alanine, tyrosine, and ornithine.
The Tryptophan Ratio (Trp ratio) was calculated as follows:
trypthophan/(BCAA + phenylalanine + tyrosine)

2.1.4. Insulin and HOMA-IR

Among the blood variables, plasma insulin levels (µU/mL) were measured using the Cord-CT Radioimmunoassay Kit CIS (France) and Coat A Count Insulin (D.P.C., Los Angeles, CA, USA) commercial kits. Insulin resistance was calculated using the Homeostasis Model assessment (HOMA; normal value < 2.4) [50,51].

2.2. Objectives

The first objective of the study was to document possible differences between ADs and CTRL in CSF AA levels and CSF/plasma ratio.
The second objective was to document whether there were differences in CSF AA levels and CSF/plasma ratio related to AD nutritional state.

2.3. Statistical Analysis

The normality of all variables was assessed using the Shapiro–Wilk statistical test, supported by visual inspection. Since several variables violated the assumption of normality, central tendency and dispersion of continuous variables were reported as mean ± SD, but nonparametric tests were used. Accordingly, between-groups comparisons were carried out using the Mann–Whitney U-test (for two groups) or the Kruskal–Wallis test (for three or more groups). A significant result on the Kruskal–Wallis test was followed by post-hoc analysis (Dunn–Sidak) to compare pairs of groups.
Descriptive statistics for discrete variables were reported as percentage frequency.
Associations between variables were assessed via both Pearson correlation coefficient and Spearman rank correlation coefficient.
All statistical tests were two-tailed and statistical significance was set at p < 0.05. All analyses were carried out using the SAS/STAT statistical package, release 9.4 (SAS Institute Inc., Cary, NC, USA).

3. Results

3.1. Patients’ Clinical Characteristics

It can be seen from the data in Table 1 that AD patients, as an overall group, had normal body weight (BMI) and biohumoral variables, but presented with a state of light inflammation (ESR) and insulin resistance (HOMA-IR). According to MNA criteria, 16.7% of patients (n = 5) were malnourished (group 1), 36.6% (n = 11) were at risk for malnutrition (group 2), and 46.7% (n = 14) were normonourished (group 3).

3.2. CSF and Plasma AA Levels in ADs after Stratification by Nutritional Status

Table 2 and Table 3 show the CFS AA levels and plasma AA levels in ADs and in CTRL, respectively. Compared with CTRL, levels of AAs in CSF and plasma in ADs were reduced by 75% and 31.6%, respectively. However, in the CSF compartment, the numbers and types of AAs reduced varied in relation to patient nutritional state (Table 4). Given that Group 1 (malnutrition) and Group 2 (at risk) had similar numbers and types of altered CSF AA (with the exception of alanine, present only in group 2, and aspartic acid, present only in group 1), these groups were pooled together to form a combined group (CG) (named the “nutritionally-deteriorated” group). In CG, the alterations in numbers and types of AAs were wider than in Group 3 (normal nutrition). For clarity, these results were synthesized in Table 5 and Table 6.
Compared to CTRL, CG had lower plasma levels of glutamate, alanine, isoleucine, leucine, total AAs (TAAs), and Essential AAs (EAAs), and a lower EAA/TAA ratio (Table 7). Compared to CTRL, group 3 (normonutrition) had lower plasma levels of alanine and higher plasma BCAA/EAA and BCAA/TAA ratios. Plasma histidine levels were higher in each AD subgroup compared to CTRL.
In the CSF compartment (Table 8), compared to CTRL, CG and group 3 had in common significant reductions in levels of asparagine, serine, glutamine, glycine, arginine, tryptophane, phenylalanine, Trp ratio, TAAs, indicating that these altered AAs were independent of nutritional state. In addition, the CG had reduced levels of threonine, alanine, valine, methionine, isoleucine, leucine, lysine, EAAs, and BCAAs. Thus, deterioration of nutritional state in ADs was associated with wider reductions in AAs. In the CG, leucine, isoleucine, threonine, TAAs, and EAAs were reduced both in plasma and CSF.
Table 9 shows the CSF/plasma AA ratios in CTRL and ADs as an entire population. In CTRL the ratios were <1, indicating that the AA levels in CSF were lower than those in plasma, with the exception of glutamine and to a lesser extent BCAA/EAA whose CSF/plasma ratios were >1. Compared to CTRL, ADs had significantly lower CSF/plasma AA ratios, including glutamine and BCAA/EAA.
Table 10 shows that CSF/plasma AA ratios were similar among the normonourished and nutritionally deteriorated patients.
To sum up, compared to CTRL, ADs had important reductions in numbers and types of CSF AAs. Moreover, patients’ stratification according to nutritional state indicated the existence of two CSF AA profiles: one in which reduced AAs were independent of nutritional state, the other with a further reduction in AAs associated with a deteriorated nutritional state. Moreover, in CTRL subjects the CSF/plasma AA ratios were <1 but >1 for glutamine and the BCAA/EAA ratio. In ADs, CSF/plasma ratios were even lower than in CTRL, including glutamine and the BCAA/EAA ratio.

3.3. Correlations

Table 11 shows the correlations between plasma insulin levels, CSF AA levels, and markers of AD pathology.
Insulinemia was inversely correlated with CSF arginine (r = −0.52; p = 0.004) (Figure 1), whereas no other relationship was found with other CSF AAs, nor with Aβ, tau, or phosphor tau levels.
Correlations between CSF AAs and plasma AAs were evidenced both in ADs (Table 12) and CTRL (Table 13). In AD, an inverse correlation in glutamine levels was observed between plasma and CSF, whereas all BCAAs, the BCAA/TAA ratio (Figure 2) EAA/Total AA, and BCAA/EAA were positively associated.
In CTRL, the study found positive links for serine (r = + 0.96; p = 0.0007), BCAA/TAA ratio (r = + 0.90; p = 0.0005), and valine (r = + 0.74; p = 0.046).

4. Discussion

The study confirms the initial hypothesis that ADs, compared to controls, may have reduced CSF AA levels and lower CSF/plasma AA ratios and that the amount of CSF AA reduction is in part dependent on patients’ nutritional state.
The patients’ stratification by nutritional state identified two patterns of reduced CSF AA levels, one that was independent of nutritional state (found therefore in all ADs), and another that was found in the nutritionally deteriorated group only (i.e., group 1 + group 2). The latter group of ADs therefore exhibited both nutritionally independent and nutritionally dependent CSF AA reductions.
The lower CSF/plasma ratios in ADs, both as an entire group and after stratification by nutritional state, suggest that AA reductions in CSF may be due not only to insufficient supply of AAs to the brain from plasma but also to brain overutilization. The following factors may sustain the hypothesis of brain AA overutilization in ADs. First, as shown in the current study, 75% of the AAs in CSF but only 31.6% of the AAs in plasma were reduced. Second, the CSF levels of several AAs, including two EAAs, were lower in normonourished ADs despite their normal plasma levels. Third, as previously documented, AA/protein dysmetabolism is more severe in the AD brain than in extracerebral areas [52]. Another investigation reported the presence of increased urea levels in CSF [52,53,54].
For more clarity, brain AA alterations will be discussed below as derived from two main potential mechanisms, one of which may be refereed to as “general” and the other “specific”, while being aware that these two are intimately and inextricably interconnected.

4.1. Some Potential General Mechanisms for Reduced CSF AA

In addition to the need for energy production [31,55], insulin resistance, the synthesis of neuropathology markers of AD, and the mutual influence between insulin resistance and biosynthesis of AD markers are among the mechanisms able to prime/enhance brain AA overutilization.
The development of insulin resistance [2,3,56] might be favored and/or heightened by gut dysbiosis [57,58] that, via intestinal translocations of bacteria, bacterial amyloids and toxins, may increase cerebral inflammation brought about by Aβ [59]. Insulin resistance/hyperinsulinemia further reduces the residual utilization of glucose in mitochondria by blocking the mitochondrial pyruvate dehydrogenase enzyme complex [60].
Aβ itself can cause increased brain AA utilization, as demonstrated in both AD patients [61] and in AD model mice [62], via activation of mTOR signaling. On one hand, mTOR increases tau protein synthesis, the main component of the neurofibrillary tangles, [63] and, on the other hand, it stimulates mitochondrial activity [64]. In turn, activated mTOR can increase AA consumption for the synthesis of Aβ and tau protein [61]. Supporting the anabolic relationship between Aβ and mTOR, the inhibition of mTOR in AD model mice can reduce Aβ and tau protein levels, leading to the recovery of cognitive function [65,66]. Of note, BBB alteration itself contributes to increased brain AA utilization by upregulating Amyloid Precursor Protein (APP) expression and Aβ deposition [67].
The interrelationship between altered brain insulin signaling and the biosynthesis of AD markers may be another mechanism leading to brain AA overutilization. Hyperinsulinemia indeed increases tau phosphorylation [68,69], favors the formation of senile plaques [70] and inhibits degradation of extracellular neuronal Aβ by blocking the insulin-degrading enzyme [71]. In turn, both Aβ and tau worsen brain insulin signaling [72], in particular in synaptic areas [73]. A puzzling problem might be the coexistence of insulin resistance/hyperinsulinemia with reduced insulin receptor density in brain structures (by up to 80% in severe AD) [74,75]. Probably, chronic hyperinsulinemia/cerebral insulin resistance may downregulate and decrease the affinity of brain insulin receptors [74,76]. In the current study, we did not find significant correlations between insulinemia/IR and CSF Aβ or tau levels. A possible explanation is that this association might be more easily found within the brain structures.
It is likely that low CSF AA levels were not due to the blood–brain barrier (BBB)-restricted entry of AAs into the brain from plasma, or due to Choroid Plexuses (CPs) removing AAs from CSF and/or reducing AA secretion into CSF, which are both mechanisms that, under physiological conditions, determine brain AA availability [41]. BBB and CP activities, indeed, are altered in AD. Early BBB breakdown and dysfunction occur before the development of dementia and brain atrophy [77,78,79,80], as also confirmed in post-mortem studies [81]. In AD, CPs undergo epithelial atrophy, basement membrane thickening, and stroma fibrosis [39]. Therefore, it is most likely that the reductions in CSF AA levels may be due to increased brain uptake [41] and consumption of AAs.
In AD, elevated urea cycle activity and elevated urea levels, both in the TCA cycle [52] and in CSF (not measured in the present study) [52,53,54], support brain AA overutilization. An excess of brain AA utilization has a negative impact on brain function as, in addition to increased urea levels, causes hyperammonia, given that neurons and glia lack all the enzymes of urea cycle [82]. Hyperammonia worsens brain dysfunction, as it is implicated in several metabolic processes including, to name only a few, oxidative damage [83,84] impaired mitochondrial activities [85,86] (also in synaptic regions [87]), and decreased astrocyte glutamine formation via reducing glutamine synthetase enzyme to scavenge ammonia [88]. Urea itself, if elevated, is neurotoxic [89]. Within the brain, urea is also produced from transaminase activities in neurons and astrocytes, involving alanine, aspartic acid, glutamate [52].
Some potential mechanisms underlying reduced CSF AA levels are summarized in Figure 3.
In summary, increased AA utilization in the AD brain might over time reduce the balance between positive effects (energy production) and negative ones (hyperammonia, high urea levels, increased synthesis of AD markers), resulting in abnormal neuron and glia death [31].

4.2. Some Potential, Specific Mechanisms for Reduced CSF AA Levels Independently of Patients’ Nutritional Status

The reductions in CSF asparagine, serine, glutamine, glycine, arginine, tryptophan, phenylalanine and Trp ratio were independent of patient nutritional state, suggesting that they were linked to AD per se; the brain may also use these AAs for specific metabolic tasks.
Low CSF serine and glycine confirm the findings from a post-mortem study [52] documenting the decrease in these AAs in the hippocampus, entorhinal cortex, middle-temporal gyrus, sensory cortex, motor cortex, cingulate gyrus, and cerebellum. Among the factors responsible for their reduction, increased utilization in the glycolytic pathway to generate energy, to increase/maintain glutathione system [90] and for neurological functions might play a major role. In the brain, serine can be converted into the stereoisomer D-serine, which is a potent activator of the NMDA glutamate receptor, which in turn is involved in the formation of new synapses and essential for learning and memory processes [46,91,92]. The importance of serine for brain activity may be inferred by the very strong correlation found in this study between plasma and CSF serine levels. Impaired serine production in astrocytes contributes to cognitive dysfunction in AD [92].
Glycine is normally produced by the brain [40]. Its reduction [36] may be due to both reduced formation from its immediate precursor, serine, and increased utilization in the glutathione system pathways. Low brain glycine may contribute to synaptic and brain toxicity, as this AA functions in the brain as a inhibitory neurotransmitter, similarly to GABA, which may be reduced in AD CSF [42].
Low asparagine could be due to reduced conversion of oxalacetate [93] from an altered TCA cycle. Its reduction may negatively impact cell proliferation and the urea cycle, given that this AA is a powerful stimulator of ornithine decarboxylase and cell proliferation [94].
Low CSF glutamine levels were in line with some studies [95,96] and contrasted with a recent investigation [97]. Glutamine is normally produced by brain [40] and its reduction is not due to lack of glutamate (this being similar between AD and CTRL) but instead may derive from both increased utilization for energy production [96] in the mitochondrial TCA cycle [98] and reduced synthesis due to impaired activity of the oxidized glutamine synthase enzyme (GS) [9,99,100]. Of note, the compromising of GS activity occurs early in AD [101]. Low brain glutamine in astrocytes reduces the capacity for detoxifying ammonia and leads to reduced Aβ autophagy capacity [101,102,103]. Under normal conditions, glutamine is neuroprotective [101]. Supporting this, CSF glutamine and glutamate are inversely correlated with the amyloid tau index [97], and GS is negatively associated with t-tau and p-tau [104]. Glutamine CSF/plasma ratio was >1 in CTRL, indicating the importance of brain production of this amino acid under normal conditions. This suggests that glutamine is exported from the brain rather than imported into the brain from plasma.
Low CSF arginine [42] may derive from its overconsumption in increased urea cycle activity, as well as in the enzymatic activities of nitric oxide synthase (NOS) and arginase where arginine serves as substrate. NOS in AD is upregulated [105] and elevated production of NO is responsible for increased nitrosative stress [106], causing mitochondrial dysfunction and the degeneration of both synapses and neurons [107]. Another arginine-consuming reaction is the production of the inhibitory neurotransmitter GABA through its conversion to ornithine [108]. Low arginine leads to disruption of the urea cycle, and consequently to hyper-ammonia, endothelial dysfunction and reduced synthesis of creatine and creatine kinase BB, which results in worsening neuronal energy deficits.
In the case of AD, the only CSF amino acid that significantly correlated with insulinemia was arginine. This correlation may be explained by the hyperinsulinemia-induced upregulation of brain arginase activity, as observed in obesity [109].
Increased arginase activity consumes arginine and reduces NO synthesis, as arginase competes with NOS for the same arginine substrate. In brief, whatever the prevalent mechanisms, the upregulation of the two enzymes (NOS and arginase) competing for the same substrate (arginine) greatly contributes to reducing brain arginine availability.
Two Essential Amino Acids (EAAs), tryptophan and phenylalanine, proved to be decreased in AD CSF. Being precursors of the neurotransmitter serotonin and catecholamines dopamine, norepinephrine, epinephrine, and tyramine, their reduction suggests that brain deficits in neurochemical transmission contribute to synapse dysfunction and the loss of synapses, neurons and neuronal networks [50].
The alterations in chemical neurotransmitters occur early in AD, before the pathological markers of AD or the loss of neurons [50].
The decrease in tryptophan may be attributed to activation of the kynurenine pathway [110], which is upregulated in AD [111,112]. The diversion of tryptophan towards the kynurenine pathways reduces serotonin formation, contributing to AD pathogenesis. Another potential mechanism for reduced tryptophan may be its increased utilization for brain protein synthesis, given the important role played by this amino acid in protein synthesis [50]. The loss of serotoninergic neurons correlates with AD severity and learning and memory impairments [50].
Previous investigations reported that phenylalanine was increased in the brain [52] and decreased in serum [113] of AD patients. These findings are the opposite of the results of the current investigation. An explanation for these contradictory results may be that the previous studies were carried out on two different AD populations and using two different methodologies, one of which involved examination of post-mortem patient brains [52]. The measurements of phenylalanine levels in plasma and CSF in the present study were concomitantly carried out on a unique AD group. This explanation is also valid for tryptophan, which, in the above studies, was decreased in serum and increased in the brain.
Low phenylalanine levels may result from its use for protein synthesis [50], increased breakdown in the TCA cycle for energy production, and residual catecholamine formation [114]. The depletion of catecholamine neurotransmitters impairs behavioral and cognitive functioning, in particular under stressful conditions and during aging [1]. Impaired dopamine neurotransmission causes low performance in the spatial working memory and spatial recognition memory [115,116]. Moreover, reduced brain catecholamine availability increases patient perception of fatigue [117].
Low Trp ratio suggests a greater prevalence of the deficit in serotoninergic transmission compared to the catecholaminergic deficit.

4.3. Some Potential, Specific Mechanisms Underlying Reduced CSF Levels in Nutritionally-Deteriorated AD

In nutritionally deteriorated ADs, CSF levels of six EAAs (the three BCAAs plus threonine, methionine, lysine), of alanine, and of TAAs and EAAs as a group were reduced. Leucine, isoleucine, alanine, TAAs, and EAAs were altered both in plasma and CSF. Thus, the brain availability of these AAs, in particular the essential leucine and isoleucine, was in part conditioned by their limited supply in plasma [118,119], and hence by abnormalities of metabolism in extracerebral areas [46]. By contrast, brain reductions in threonine, lysine, and valine would be due to their brain overutilization (plasma methionine was not available; thus, the level of this AA can be discussed only in terms of brain content).
Chronic protein breakdown [46] and/or insufficient dietary BCAA intake may explain the lack of leucine and isoleucine in both plasma and CSF. The importance of circulating BCAA for brain BCAA availability is highlighted by the correlations between plasma and CSF BCAA found in the current investigation, both in CTRL and in ADs. The strong correlations of the BCAA/TAAs ratio and valine between plasma and CSF both in controls and in ADs indicate that the higher the plasma levels of BCAAs among the circulating AAs, the higher their contribution to AA levels in the CSF compartment.
The differences in degree in the above correlations between ADs and controls for BCAA/TAAs ratio and valine might confirm that, in AD, an important role may be played by brain overconsumption of BCAA for both protein synthesis and (in particular for valine) for TCA cycle activity for energy generation.
Brain BCAA overutilization could occur to facilitate the synthesis of phosphorylated tau protein, the main component of neurofibrillary tangles, due to increases in the process of mTOR autophosphorylation [61]. Increased mTOR activation may be induced by Aβ levels [63] and by BCAA themselves, mainly leucine [120], which are potent activators of mTOR signaling for protein synthesis.
The reductions in leucine and valine in CSF confirm the findings from a previous study [36], which also documented a correlation between plasma and CSF valine levels and memory and cognitive functions.
Based on the background of existing literature, it is unclear whether BCAA may potentially exert neuroprotective or toxic effects.
Some experimental investigations reported unfavorable effects on the development and progression of AD [121,122]. In the AD mouse model, tau hyperphosphorylation was decreased by a protein-restricted diet [123]. In contrast, clinical studies reported favorable effects on the retrieval of neurocognitive and neuropsychological functions after BCAA supplementation in patients with cirrhosis and chronic hepatic encephalopathy [124,125], with latent portosystemic encephalopathy [126], with phenylketonuria [127,128], and patients with severe traumatic brain injury undergoing rehabilitation [129] or in a minimally conscious state following traumatic brain injury [130]. Neurocognitive retrieval after BCAA supplementation was also found in an animal model of traumatic brain injury [131]. Cognitive performance was improved after BCAA supplementation in healthy exercising subjects [132,133]. In a large epidemiological study, low plasma BCAA levels were found to be independent predictors of incident dementia [134].
We postulate that reduced brain BCAA availability may accelerate the progression of AD for at least five main reasons. First, low brain BCAA might impair the turnover of glutamate, the main excitatory neurotransmitter in the brain [135,136] as nitrogen from BCAA is used for the formation of glutamate in astroglia [137,138]. The nitrogen from BCAA is particularly important, as the content of aspartate, the other nitrogen donor, is limited in astroglia [139].
Second, low brain BCAA levels may increase neurotoxicity and neurodegeneration by limiting the glutamate–glutamine cycle, leading to accumulations of both glutamate and ammonia [125]. Third, BCAA modulate the balance between excitatory and inhibitory activities by regulating the pools of glutamate, glutamine, and GABA [140]. Fourth, low brain BCAA may reduce protein synthesis for brain tissue repair, sprouting, and circuitry remodeling [141]. Lastly, low BCAA, in particular leucine, may limit the recovery of cognition by reducing insulin production [120].
Of note, in CTRL subjects, the BCAA/EAA CSF/plasma ratio was >1, supporting, under normal conditions, the importance for the brain of maintaining high levels of BCAA among the EAAs. The decreased CSF levels of EAAs lysine and threonine, despite their normal plasma concentrations, may be secondary to increased brain oxidation and/or increased incorporation into brain proteins. These two amino acids are the most essential among EAAs, since their oxidation is irreversible, as they do not undergo transamination activities [142,143]. Consequently, low brain availability of lysine and threonine creates increased risk for brain synthesis activities. Moreover, lysine has potent antiproteolytic activity [144] even under conditions of a low protein diet [145], and indirectly modulates GABAergic transmission by means of its catabolic product, pipecolic acid [113].
Neural plasticity is regulated by protein phosphorylation occurring in serine, threonine, and tyrosine residues (protein serine–threonine kinase) [146]. The neuronal proteins regulated by protein serine–threonine kinase include enzymes for neurotransmitter biosynthesis and degradation, neurotransmitter receptors and transporters, ion channels, and proteins involved in neuronal growth and motility, to name only a few. These physiological serine–threonine kinase activities lead us to suspect that a lack of brain threonine and serine may have a very negative impact on residual brain function in AD.
Reduced alanine may be due to an altered glycolysis pathway, leading to decreased availability of pyruvate to be converted into alanine via the transamination process.
Altered brain methionine metabolism may explain the reduced CSF levels of methionine found in the current study and may also explain the increased homocysteine (a by-product of methionine) levels in AD serum and brains [147] and the association of elevated serum homocysteine levels with a decreased methionine cycle in AD [95].
As, in the current study, plasma methionine could not be detected, we cannot exclude a reduced contribution of plasma methionine to decreased CSF levels. Another mechanism leading to reduced CSF methionine may be its incorporation into proteins, since it is essential for the initiation of protein and nucleic acid synthesis and its active form, S-AdenosylMethionine (SAME), is the most important methyl donor in the body. Methylation processes via SAME stabilize and protect proteins, including myelin, and are involved in the formation of creatine, carnitine, melatonine, and polyamines and in the metabolism of serotonin. Another metabolic condition leading to low methionine may be excessive amino acid conversion to cysteine (and taurine), an important precursor of the antioxidant glutathione, which may undergo a chronic decrease in AD due to high brain ROS formation [148].
Table 14 shows some potential negative effects on residual brain activities and functions in the study ADs resulting from reduced brain AA availability.

4.4. Were the Brains of AD Patients Undernourished? Suggestions for Clinical Practice

Under physiologic conditions, the brains of normal adults would seem to be spared from malnutrition because of very low cell proliferation and cell replacement in the brain [149], low cellular protein turnover [150], and the supply of amino acids to the brain from extracerebral tissues, such as skeletal muscle and liver [151].
However, the findings from more recent studies seem to question the assumption that the brain could be protected from malnutrition. First, the brain protein synthesis rate in normal adults was shown to be higher than that of skeletal muscle tissue [152]: brain protein synthesis was 0.17 ± 0.01%/h in the neocortex and 0.13 ± 0.01%/h in the hippocampus, but only 0.05 ± 0.01%/h in skeletal muscle.
The high rates of brain protein synthesis were documented in other previous studies [153,154]. Second, under protein deficiency conditions, the brain utilizes circulating amino acids from protein breakdown occurring in extracerebral body areas, mainly the skeletal muscle [155]. Of interest, sarcopenia in AD patients has been reported to be associated with brain atrophy and altered cognitive performance [55] and, in elderly subjects, with cognitive impairment. Third, the current study is highly suggestive of a lack of EAAs (tryptophan, phenylalanine) in both normonurished ADs and nutritionally deteriorated ones. In addition, the lack of NON EAAs, mainly in nutritionally deteriorated ADs, contributes to reducing the availability of nitrogen for protein synthesis [156].
Thus, we postulate that the brain of ADs, in particular ADs with MNA < 24, might be considered an “undernourished brain”, caused by an unbalanced ratio of brain AA utilization to AA supply from plasma. Theoretically, brain AA overconsumption could lead or contribute over time to impairment of circulating EAAs, particularly in patients with poor or marginal EAA intakes and in sarcopenic patients.
A problem arising from the current study is whether it is possible to reconcile two conflicting factors: the brain’s needs for EAAs/AAs to sustain metabolic processes such as repairing, circuit remodeling, and growth of the brain’s residual functioning areas and, at the same time, the need to avoid enhanced EAA utilization, which results in the synthesis of AD neuropathology markers. It has been hypothesized that a nutritional strategy could involve providing patients with a diet low in protein but with high levels of BCAAs, aromatic amino acids, glutamine, histidine, and threonine [157,158]. Another hypothesized nutritional treatment could be omitting leucine but augmenting the supply of valine and isoleucine [31], which are less potent stimulators of mTOR than leucine [120]. An additional reported nutritional treatment could be a reduction in methionine intake, methionine being responsible for the increase in Aβ and phosphorylated tau levels in the brain [157]. In mouse AD models, methionine restriction was shown to be neuroprotective by diminishing the levels of Aβ formed [159].
Until investigations address these issues, a reasonable approach in clinical practice for patients with AD at present might be the following:
  • Routine determinations of AA levels, both in plasma and CSF, in ADs.
  • Quantification of dietary protein/EAA intakes since the first diagnosis and frequent monitoring over time.
  • Improving physical activity and exercise, aiming at the preservation of/increase in skeletal muscle mass, strength, and function, since muscle tissue is the main body store of AAs.
  • In nutritionally deteriorated patients (MNA < 24 scores), who represented more than half of the ADs considered in this study, a supplementation of EAAs to restore their plasma levels may be needed as EAAs are also vital for maintenance of the structures and functions of extracerebral organs and tissues. Of note, supplementation of the diet with L-serine prevents synaptic loss and behavioral deficits in AD mice [92]. Future studies will address the question of whether, in addition to EAA supplementation, supplying lactate, pyruvate, and ketone bodies may reduce the brain’s need for AAs to generate energy.
  • All these clinical suggestions should be added to an antinflammatory and antioxidant diet [160], along with nutritional interventions aimed at reducing abnormalities in gut microbiota and slowing down the progression of the disease [161].
A well-planned investigation could examine whether, in ADs with normal nutrition (MNA > 24), the prevention of nutritional deterioration and correction of brain tryptophan and phenylalanine levels should be pursued. In these patients, supplementing these two aromatic amino acids might prove useful for improving their content in the brain.

4.5. Limitations of Study

The study has several limitations that require further research to be resolved.
A limitation of the present investigation is the small number of subjects studied, particularly controls.
Urea levels were not determined, either in AD or CTRL CSF. Elevated CSF urea in AD would have corroborated the existence of excessive brain AA consumption.
Patients’ intakes of dietary proteins were not quantified. Information regarding amount and type of ingested amino acids, in particular EAAs, would have been very useful for understanding the contribution of poor diet to reduced plasma and CSF EAAs in patients with nutrition deterioration, as well as to reduced CSF tryptophan and phenylalanine in normonurished AD.
Analysis of body composition with measurements of skeletal muscle tissue, the most important AA repository in the body, would have strengthened the discussion.
As a strength of the study, it is important to underline that the adoption of a simple nutritional test (MNA) may be useful in clinical practice for suggesting the existence of altered AA contents both in plasma [46] and CSF, in the absence of a direct measurement of EAAs in both areas.

5. Conclusions

The study documents that AD patients, compared to CTRL, had lower CSF AA levels and lower CSF/plasma AA ratios. The reductions in CSF AAs were in part linked to the disease per se, being independent of patients’ nutritional status, and in part linked to deterioration in nutrition.
Future well-planned studies are needed to understand whether and how it is possible to safely improve CSF AA levels in advanced AD patients.

Author Contributions

R.A., conceptualization; M.C.R., G.P., methodology; R.M., software; R.A., R.M., F.B., P.I., A.C., M.B., validation; R.A., formal analysis; A.C., M.C.R., G.P., investigation; R.A., R.M., data curation; R.A., writing, original draft preparation; F.B., P.I., writing, review; F.B., editing; F.B., P.I., M.V., D.B., M.D., visualization; A.C., R.M., M.D., supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Ospedale San Raffaele-Istituto di Ricovero e Cura a Carattere Scientifico-Milano, Italy (Project identification code: MAIR2016; ethical approval: 130/INT/2016; date: 8 September 2016).

Informed Consent Statement

All subjects or their legal representatives gave their informed consent for inclusion before they participated in the study. Participants did not receive financial compensation.

Data Availability Statement

Data available on request due to restrictions, e.g., privacy or ethical. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the rules of Mondino Foundation but might be available only on request.

Conflicts of Interest

The authors have no potential conflict of interest to declare. Roberto Aquilani is Scientific Consultant of Professional Dietetics, Milano, Italy.

References

  1. van de Rest, O.; van der Zwaluw, N.L.; de Groot, L.C.P.G.M. Literature Review on the Role of Dietary Protein and Amino Acids in Cognitive Functioning and Cognitive Decline. Amino Acids 2013, 45, 1035–1045. [Google Scholar] [CrossRef] [PubMed]
  2. Apelt, J.; Mehlhorn, G.; Schliebs, R. Insulin-Sensitive GLUT4 Glucose Transporters Are Colocalized with GLUT3-Expressing Cells and Demonstrate a Chemically Distinct Neuron-Specific Localization in Rat Brain. J. Neurosci. Res. 1999, 57, 693–705. [Google Scholar] [CrossRef]
  3. Freude, S.; Schilbach, K.; Schubert, M. The Role of IGF-1 Receptor and Insulin Receptor Signaling for the Pathogenesis of Alzheimer’s Disease: From Model Organisms to Human Disease. Curr. Alzheimer Res. 2009, 6, 213–223. [Google Scholar] [CrossRef] [PubMed]
  4. Liu, Y.; Liu, F.; Iqbal, K.; Grundke-Iqbal, I.; Gong, C.-X. Decreased Glucose Transporters Correlate to Abnormal Hyperphosphorylation of Tau in Alzheimer Disease. FEBS Lett. 2008, 582, 359–364. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Bigl, M.; Apelt, J.; Eschrich, K.; Schliebs, R. Cortical Glucose Metabolism Is Altered in Aged Transgenic Tg2576 Mice That Demonstrate Alzheimer Plaque Pathology. J. Neural Transm. 2003, 110, 77–94. [Google Scholar] [CrossRef]
  6. Mazzola, J.L.; Sirover, M.A. Subcellular Alteration of Glyceraldehyde-3-Phosphate Dehydrogenase in Alzheimer’s Disease Fibroblasts. J. Neurosci. Res. 2003, 71, 279–285. [Google Scholar] [CrossRef] [PubMed]
  7. Cumming, R.C.; Schubert, D. Amyloid-Beta Induces Disulfide Bonding and Aggregation of GAPDH in Alzheimer’s Disease. FASEB J. 2005, 19, 2060–2062. [Google Scholar] [CrossRef] [PubMed]
  8. Butterfield, D.A.; Lange, M.L.B. Multifunctional Roles of Enolase in Alzheimer’s Disease Brain: Beyond Altered Glucose Metabolism. J. Neurochem. 2009, 111, 915–933. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Smith, C.D.; Carney, J.M.; Starke-Reed, P.E.; Oliver, C.N.; Stadtman, E.R.; Floyd, R.A.; Markesbery, W.R. Excess Brain Protein Oxidation and Enzyme Dysfunction in Normal Aging and in Alzheimer Disease. Proc. Natl. Acad. Sci. USA 1991, 88, 10540–10543. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Smith, M.A.; Richey Harris, P.L.; Sayre, L.M.; Beckman, J.S.; Perry, G. Widespread Peroxynitrite-Mediated Damage in Alzheimer’s Disease. J. Neurosci. 1997, 17, 2653–2657. [Google Scholar] [CrossRef] [Green Version]
  11. Good, P.F.; Werner, P.; Hsu, A.; Olanow, C.W.; Perl, D.P. Evidence of Neuronal Oxidative Damage in Alzheimer’s Disease. Am. J. Pathol. 1996, 149, 21–28. [Google Scholar] [PubMed]
  12. Mosconi, L.; Pupi, A.; De Leon, M.J. Brain Glucose Hypometabolism and Oxidative Stress in Preclinical Alzheimer’s Disease. Ann. N. Y. Acad. Sci. 2008, 1147, 180–195. [Google Scholar] [CrossRef] [PubMed]
  13. Moreira, P.I.; Santos, M.S.; Seiça, R.; Oliveira, C.R. Brain Mitochondrial Dysfunction as a Link between Alzheimer’s Disease and Diabetes. J. Neurol. Sci. 2007, 257, 206–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Moreira, P.I.; Duarte, A.I.; Santos, M.S.; Rego, A.C.; Oliveira, C.R. An Integrative View of the Role of Oxidative Stress, Mitochondria and Insulin in Alzheimer’s Disease. J. Alzheimers Dis. 2009, 16, 741–761. [Google Scholar] [CrossRef]
  15. Gibson, G.E.; Sheu, K.F.; Blass, J.P. Abnormalities of Mitochondrial Enzymes in Alzheimer Disease. J. Neural Transm. (Vienna) 1998, 105, 855–870. [Google Scholar] [CrossRef]
  16. Bubber, P.; Haroutunian, V.; Fisch, G.; Blass, J.P.; Gibson, G.E. Mitochondrial Abnormalities in Alzheimer Brain: Mechanistic Implications. Ann. Neurol. 2005, 57, 695–703. [Google Scholar] [CrossRef]
  17. Ferrer, I. Altered Mitochondria, Energy Metabolism, Voltage-Dependent Anion Channel, and Lipid Rafts Converge to Exhaust Neurons in Alzheimer’s Disease. J. Bioenerg Biomembr. 2009, 41, 425–431. [Google Scholar] [CrossRef]
  18. Brooks, W.M.; Lynch, P.J.; Ingle, C.C.; Hatton, A.; Emson, P.C.; Faull, R.L.M.; Starkey, M.P. Gene Expression Profiles of Metabolic Enzyme Transcripts in Alzheimer’s Disease. Brain Res. 2007, 1127, 127–135. [Google Scholar] [CrossRef]
  19. Liang, W.S.; Reiman, E.M.; Valla, J.; Dunckley, T.; Beach, T.G.; Grover, A.; Niedzielko, T.L.; Schneider, L.E.; Mastroeni, D.; Caselli, R.; et al. Alzheimer’s Disease Is Associated with Reduced Expression of Energy Metabolism Genes in Posterior Cingulate Neurons. Proc. Natl. Acad. Sci. USA 2008, 105, 4441–4446. [Google Scholar] [CrossRef] [Green Version]
  20. Takuma, K.; Yao, J.; Huang, J.; Xu, H.; Chen, X.; Luddy, J.; Trillat, A.-C.; Stern, D.M.; Arancio, O.; Yan, S.S. ABAD Enhances Abeta-Induced Cell Stress via Mitochondrial Dysfunction. FASEB J. 2005, 19, 597–598. [Google Scholar] [CrossRef]
  21. Kruman, I.I.; Mattson, M.P. Pivotal Role of Mitochondrial Calcium Uptake in Neural Cell Apoptosis and Necrosis. J. Neurochem. 1999, 72, 529–540. [Google Scholar] [CrossRef] [PubMed]
  22. Braak, H.; Braak, E. Development of Alzheimer-Related Neurofibrillary Changes in the Neocortex Inversely Recapitulates Cortical Myelogenesis. Acta Neuropathol. 1996, 92, 197–201. [Google Scholar] [CrossRef] [PubMed]
  23. Delacourte, A.; David, J.P.; Sergeant, N.; Buée, L.; Wattez, A.; Vermersch, P.; Ghozali, F.; Fallet-Bianco, C.; Pasquier, F.; Lebert, F.; et al. The Biochemical Pathway of Neurofibrillary Degeneration in Aging and Alzheimer’s Disease. Neurology 1999, 52, 1158–1165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Morris, J.C.; Storandt, M.; McKeel, D.W.; Rubin, E.H.; Price, J.L.; Grant, E.A.; Berg, L. Cerebral Amyloid Deposition and Diffuse Plaques in “Normal” Aging: Evidence for Presymptomatic and Very Mild Alzheimer’s Disease. Neurology 1996, 46, 707–719. [Google Scholar] [CrossRef] [PubMed]
  25. Braak, H.; Braak, E. Neuropathological Stageing of Alzheimer-Related Changes. Acta Neuropathol. 1991, 82, 239–259. [Google Scholar] [CrossRef]
  26. Mattson, M.P.; Pedersen, W.A.; Duan, W.; Culmsee, C.; Camandola, S. Cellular and Molecular Mechanisms Underlying Perturbed Energy Metabolism and Neuronal Degeneration in Alzheimer’s and Parkinson’s Diseases. Ann. N. Y. Acad. Sci. 1999, 893, 154–175. [Google Scholar] [CrossRef]
  27. Chen, Z.; Zhong, C. Decoding Alzheimer’s Disease from Perturbed Cerebral Glucose Metabolism: Implications for Diagnostic and Therapeutic Strategies. Prog. Neurobiol. 2013, 108, 21–43. [Google Scholar] [CrossRef] [Green Version]
  28. Lin, A.P.; Shic, F.; Enriquez, C.; Ross, B.D. Reduced Glutamate Neurotransmission in Patients with Alzheimer’s Disease—An in Vivo (13)C Magnetic Resonance Spectroscopy Study. MAGMA 2003, 16, 29–42. [Google Scholar] [CrossRef]
  29. Pavlov, P.F.; Hansson Petersen, C.; Glaser, E.; Ankarcrona, M. Mitochondrial Accumulation of APP and Abeta: Significance for Alzheimer Disease Pathogenesis. J. Cell Mol. Med. 2009, 13, 4137–4145. [Google Scholar] [CrossRef] [Green Version]
  30. Yao, J.; Rettberg, J.R.; Klosinski, L.P.; Cadenas, E.; Brinton, R.D. Shift in Brain Metabolism in Late Onset Alzheimer’s Disease: Implications for Biomarkers and Therapeutic Interventions. Mol. Aspects Med. 2011, 32, 247–257. [Google Scholar] [CrossRef] [Green Version]
  31. Griffin, J.W.D.; Bradshaw, P.C. Amino Acid Catabolism in Alzheimer’s Disease Brain: Friend or Foe? Oxid. Med. Cell Longev. 2017, 2017, 5472792. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Lying-Tunell, U.; Lindblad, B.S.; Malmlund, H.O.; Persson, B. Cerebral Blood Flow and Metabolic Rate of Oxygen, Glucose, Lactate, Pyruvate, Ketone Bodies and Amino Acids. Acta Neurol. Scand. 1981, 63, 337–350. [Google Scholar] [CrossRef] [PubMed]
  33. Hoyer, S.; Nitsch, R. Cerebral Excess Release of Neurotransmitter Amino Acids Subsequent to Reduced Cerebral Glucose Metabolism in Early-Onset Dementia of Alzheimer Type. J. Neural Transm. 1989, 75, 227–232. [Google Scholar] [CrossRef] [PubMed]
  34. Norberg, K.; Siesiö, B.K. Oxidative Metabolism of the Cerebral Cortex of the Rat in Severe Insulin-Induced Hypoglycaemia. J. Neurochem. 1976, 26, 345–352. [Google Scholar] [CrossRef] [PubMed]
  35. Wong, K.L.; Tyce, G.M. Glucose and Amino Acid Metabolism in Rat Brain during Sustained Hypoglycemia. Neurochem. Res. 1983, 8, 401–415. [Google Scholar] [CrossRef] [PubMed]
  36. Basun, H.; Forssell, L.G.; Almkvist, O.; Cowburn, R.F.; Eklöf, R.; Winblad, B.; Wetterberg, L. Amino Acid Concentrations in Cerebrospinal Fluid and Plasma in Alzheimer’s Disease and Healthy Control Subjects. J. Neural Transm. Park Dis. Dement. Sect. 1990, 2, 295–304. [Google Scholar] [CrossRef]
  37. Preston, J.E.; Segal, M.B. The Steady-State Amino Acid Fluxes across the Perfused Choroid Plexus of the Sheep. Brain Res. 1990, 525, 275–279. [Google Scholar] [CrossRef]
  38. Plum, F. The Physiology and Pathophysiology of the Cerebrospinal Fluidby Hugh Davson, Keasley Welch, and Malcolm B. Segal New York. Livingstone, I987 1013 Pp. Illustrated, $198.00. Ann. Neurol. 1988, 24, 106. [Google Scholar] [CrossRef]
  39. Serot, J.M.; Béné, M.C.; Faure, G.C. CSF Homocysteine, CSF Folates and Choroid Plexus. Neurobiol. Aging 2003, 24, 627–628, discussion 629. [Google Scholar] [CrossRef]
  40. Redzic, Z.B.; Segal, M.B. The Structure of the Choroid Plexus and the Physiology of the Choroid Plexus Epithelium. Adv. Drug Deliv. Rev. 2004, 56, 1695–1716. [Google Scholar] [CrossRef]
  41. Segal, M.B.; Preston, J.E.; Collis, C.S.; Zlokovic, B.V. Kinetics and Na Independence of Amino Acid Uptake by Blood Side of Perfused Sheep Choroid Plexus. Am. J. Physiol. 1990, 258, F1288–F1294. [Google Scholar] [CrossRef] [PubMed]
  42. Samakashvili, S.; Ibáñez, C.; Simó, C.; Gil-Bea, F.J.; Winblad, B.; Cedazo-Mínguez, A.; Cifuentes, A. Analysis of Chiral Amino Acids in Cerebrospinal Fluid Samples Linked to Different Stages of Alzheimer Disease. Electrophoresis 2011, 32, 2757–2764. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Smith, Q.R.; Momma, S.; Aoyagi, M.; Rapoport, S.I. Kinetics of Neutral Amino Acid Transport across the Blood-Brain Barrier. J. Neurochem. 1987, 49, 1651–1658. [Google Scholar] [CrossRef] [PubMed]
  44. Pardridge, W.M. Brain Metabolism: A Perspective from the Blood-Brain Barrier. Physiol. Rev. 1983, 63, 1481–1535. [Google Scholar] [CrossRef] [PubMed]
  45. Pardridge, W.M.; Choi, T.B. Neutral Amino Acid Transport at the Human Blood-Brain Barrier. Fed. Proc. 1986, 45, 2073–2078. [Google Scholar]
  46. Aquilani, R.; Costa, A.; Maestri, R.; Cotta Ramusino, M.; Pierobon, A.; Dossena, M.; Solerte, S.B.; Condino, A.M.; Torlaschi, V.; Bini, P.; et al. Mini Nutritional Assessment May Identify a Dual Pattern of Perturbed Plasma Amino Acids in Patients with Alzheimer’s Disease: A Window to Metabolic and Physical Rehabilitation? Nutrients 2020, 12, 1845. [Google Scholar] [CrossRef]
  47. Aquilani, R.; Brugnatelli, S.; Dossena, M.; Maestri, R.; Delfanti, S.; Buonocore, D.; Boschi, F.; Simeti, E.; Condino, A.M.; Verri, M. Oxaliplatin-Fluoropyrimidine Combination (XELOX) Therapy Does Not Affect Plasma Amino Acid Levels and Plasma Markers of Oxidative Stress in Colorectal Cancer Surgery Patients: A Pilot Study. Nutrients 2019, 11, 2667. [Google Scholar] [CrossRef] [Green Version]
  48. Kuo, Y.M.; Kokjohn, T.A.; Watson, M.D.; Woods, A.S.; Cotter, R.J.; Sue, L.I.; Kalback, W.M.; Emmerling, M.R.; Beach, T.G.; Roher, A.E. Elevated Abeta42 in Skeletal Muscle of Alzheimer Disease Patients Suggests Peripheral Alterations of AbetaPP Metabolism. Am. J. Pathol. 2000, 156, 797–805. [Google Scholar] [CrossRef]
  49. Calsolaro, V.; Edison, P. Neuroinflammation in Alzheimer’s Disease: Current Evidence and Future Directions. Alzheimers Dement. 2016, 12, 719–732. [Google Scholar] [CrossRef]
  50. Liu, Y.; Li, N.; Zhou, L.; Li, Q.; Li, W. Plasma Metabolic Profiling of Mild Cognitive Impairment and Alzheimer’s Disease Using Liquid Chromatography/Mass Spectrometry. Cent. Nerv. Syst. Agents Med. Chem. 2014, 14, 113–120. [Google Scholar] [CrossRef]
  51. Dubois, B.; Feldman, H.H.; Jacova, C.; Hampel, H.; Molinuevo, J.L.; Blennow, K.; DeKosky, S.T.; Gauthier, S.; Selkoe, D.; Bateman, R.; et al. Advancing Research Diagnostic Criteria for Alzheimer’s Disease: The IWG-2 Criteria. Lancet Neurol. 2014, 13, 614–629. [Google Scholar] [CrossRef]
  52. Xu, J.; Begley, P.; Church, S.J.; Patassini, S.; Hollywood, K.A.; Jüllig, M.; Curtis, M.A.; Waldvogel, H.J.; Faull, R.L.M.; Unwin, R.D.; et al. Graded Perturbations of Metabolism in Multiple Regions of Human Brain in Alzheimer’s Disease: Snapshot of a Pervasive Metabolic Disorder. Biochim. Biophys. Acta 2016, 1862, 1084–1092. [Google Scholar] [CrossRef] [PubMed]
  53. Kaiser, E.; Schoenknecht, P.; Kassner, S.; Hildebrandt, W.; Kinscherf, R.; Schroeder, J. Cerebrospinal Fluid Concentrations of Functionally Important Amino Acids and Metabolic Compounds in Patients with Mild Cognitive Impairment and Alzheimer’s Disease. Neurodegener Dis. 2010, 7, 251–259. [Google Scholar] [CrossRef] [PubMed]
  54. Gueli, M.C.; Taibi, G. Alzheimer’s Disease: Amino Acid Levels and Brain Metabolic Status. Neurol. Sci. 2013, 34, 1575–1579. [Google Scholar] [CrossRef] [Green Version]
  55. Burns, J.M.; Johnson, D.K.; Watts, A.; Swerdlow, R.H.; Brooks, W.M. Reduced Lean Mass in Early Alzheimer Disease and Its Association with Brain Atrophy. Arch. Neurol. 2010, 67, 428–433. [Google Scholar] [CrossRef]
  56. Bekkering, P.; Jafri, I.; van Overveld, F.J.; Rijkers, G.T. The Intricate Association between Gut Microbiota and Development of Type 1, Type 2 and Type 3 Diabetes. Expert Rev. Clin. Immunol. 2013, 9, 1031–1041. [Google Scholar] [CrossRef]
  57. Zhao, Y.; Dua, P.; Lukiw, W.J. Microbial Sources of Amyloid and Relevance to Amyloidogenesis and Alzheimer’s Disease (AD). J. Alzheimers Dis. Parkinsonism 2015, 5, 177. [Google Scholar] [CrossRef] [Green Version]
  58. Bhattacharjee, S.; Lukiw, W.J. Alzheimer’s Disease and the Microbiome. Front. Cell Neurosci. 2013, 7, 153. [Google Scholar] [CrossRef] [Green Version]
  59. Friedland, R.P. Mechanisms of Molecular Mimicry Involving the Microbiota in Neurodegeneration. J. Alzheimers Dis. 2015, 45, 349–362. [Google Scholar] [CrossRef] [Green Version]
  60. Lazar, H.L. The Insulin Cardioplegia Trial. J. Thorac. Cardiovasc. Surg. 2002, 123, 842–844. [Google Scholar] [CrossRef] [Green Version]
  61. Li, X.; Alafuzoff, I.; Soininen, H.; Winblad, B.; Pei, J.-J. Levels of MTOR and Its Downstream Targets 4E-BP1, EEF2, and EEF2 Kinase in Relationships with Tau in Alzheimer’s Disease Brain. FEBS J. 2005, 272, 4211–4220. [Google Scholar] [CrossRef] [PubMed]
  62. Caccamo, A.; Maldonado, M.A.; Majumder, S.; Medina, D.X.; Holbein, W.; Magrí, A.; Oddo, S. Naturally Secreted Amyloid-Beta Increases Mammalian Target of Rapamycin (MTOR) Activity via a PRAS40-Mediated Mechanism. J. Biol. Chem. 2011, 286, 8924–8932. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Jahrling, J.B.; Laberge, R.-M. Age-Related Neurodegeneration Prevention Through MTOR Inhibition: Potential Mechanisms and Remaining Questions. Curr. Top. Med. Chem. 2015, 15, 2139–2151. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Schieke, S.M.; Phillips, D.; McCoy, J.P.; Aponte, A.M.; Shen, R.-F.; Balaban, R.S.; Finkel, T. The Mammalian Target of Rapamycin (MTOR) Pathway Regulates Mitochondrial Oxygen Consumption and Oxidative Capacity. J. Biol. Chem. 2006, 281, 27643–27652. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Caccamo, A.; Majumder, S.; Richardson, A.; Strong, R.; Oddo, S. Molecular Interplay between Mammalian Target of Rapamycin (MTOR), Amyloid-Beta, and Tau: Effects on Cognitive Impairments. J. Biol. Chem. 2010, 285, 13107–13120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Spilman, P.; Podlutskaya, N.; Hart, M.J.; Debnath, J.; Gorostiza, O.; Bredesen, D.; Richardson, A.; Strong, R.; Galvan, V. Inhibition of MTOR by Rapamycin Abolishes Cognitive Deficits and Reduces Amyloid-Beta Levels in a Mouse Model of Alzheimer’s Disease. PLoS ONE 2010, 5, e9979. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Sadowski, M.; Pankiewicz, J.; Scholtzova, H.; Li, Y.; Quartermain, D.; Duff, K.; Wisniewski, T. Links between the Pathology of Alzheimer’s Disease and Vascular Dementia. Neurochem. Res. 2004, 29, 1257–1266. [Google Scholar] [CrossRef]
  68. Clodfelder-Miller, B.J.; Zmijewska, A.A.; Johnson, G.V.W.; Jope, R.S. Tau Is Hyperphosphorylated at Multiple Sites in Mouse Brain in Vivo after Streptozotocin-Induced Insulin Deficiency. Diabetes 2006, 55, 3320–3325. [Google Scholar] [CrossRef] [Green Version]
  69. Planel, E.; Tatebayashi, Y.; Miyasaka, T.; Liu, L.; Wang, L.; Herman, M.; Yu, W.H.; Luchsinger, J.A.; Wadzinski, B.; Duff, K.E.; et al. Insulin Dysfunction Induces in Vivo Tau Hyperphosphorylation through Distinct Mechanisms. J. Neurosci. 2007, 27, 13635–13648. [Google Scholar] [CrossRef]
  70. de la Monte, S.M.; Wands, J.R. Review of Insulin and Insulin-like Growth Factor Expression, Signaling, and Malfunction in the Central Nervous System: Relevance to Alzheimer’s Disease. J. Alzheimers Dis. 2005, 7, 45–61. [Google Scholar] [CrossRef] [Green Version]
  71. Qiu, W.Q.; Walsh, D.M.; Ye, Z.; Vekrellis, K.; Zhang, J.; Podlisny, M.B.; Rosner, M.R.; Safavi, A.; Hersh, L.B.; Selkoe, D.J. Insulin-Degrading Enzyme Regulates Extracellular Levels of Amyloid Beta-Protein by Degradation. J. Biol. Chem. 1998, 273, 32730–32738. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Biundo, F.; Del Prete, D.; Zhang, H.; Arancio, O.; D’Adamio, L. A Role for Tau in Learning, Memory and Synaptic Plasticity. Sci. Rep. 2018, 8, 3184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Forner, S.; Baglietto-Vargas, D.; Martini, A.C.; Trujillo-Estrada, L.; LaFerla, F.M. Synaptic Impairment in Alzheimer’s Disease: A Dysregulated Symphony. Trends Neurosci. 2017, 40, 347–357. [Google Scholar] [CrossRef]
  74. Steen, E.; Terry, B.M.; Rivera, E.J.; Cannon, J.L.; Neely, T.R.; Tavares, R.; Xu, X.J.; Wands, J.R.; de la Monte, S.M. Impaired Insulin and Insulin-like Growth Factor Expression and Signaling Mechanisms in Alzheimer’s Disease--Is This Type 3 Diabetes? J. Alzheimers Dis. 2005, 7, 63–80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Rivera, E.J.; Goldin, A.; Fulmer, N.; Tavares, R.; Wands, J.R.; de la Monte, S.M. Insulin and Insulin-like Growth Factor Expression and Function Deteriorate with Progression of Alzheimer’s Disease: Link to Brain Reductions in Acetylcholine. J. Alzheimers Dis. 2005, 8, 247–268. [Google Scholar] [CrossRef] [PubMed]
  76. Abbott, M.A.; Wells, D.G.; Fallon, J.R. The Insulin Receptor Tyrosine Kinase Substrate P58/53 and the Insulin Receptor Are Components of CNS Synapses. J. Neurosci. 1999, 19, 7300–7308. [Google Scholar] [CrossRef] [Green Version]
  77. Montagne, A.; Barnes, S.R.; Sweeney, M.D.; Halliday, M.R.; Sagare, A.P.; Zhao, Z.; Toga, A.W.; Jacobs, R.E.; Liu, C.Y.; Amezcua, L.; et al. Blood-Brain Barrier Breakdown in the Aging Human Hippocampus. Neuron 2015, 85, 296–302. [Google Scholar] [CrossRef] [Green Version]
  78. van de Haar, H.J.; Burgmans, S.; Jansen, J.F.A.; van Osch, M.J.P.; van Buchem, M.A.; Muller, M.; Hofman, P.A.M.; Verhey, F.R.J.; Backes, W.H. Blood-Brain Barrier Leakage in Patients with Early Alzheimer Disease. Radiology 2016, 281, 527–535. [Google Scholar] [CrossRef]
  79. van de Haar, H.J.; Jansen, J.F.A.; van Osch, M.J.P.; van Buchem, M.A.; Muller, M.; Wong, S.M.; Hofman, P.A.M.; Burgmans, S.; Verhey, F.R.J.; Backes, W.H. Neurovascular Unit Impairment in Early Alzheimer’s Disease Measured with Magnetic Resonance Imaging. Neurobiol. Aging 2016, 45, 190–196. [Google Scholar] [CrossRef]
  80. van de Haar, H.J.; Jansen, J.F.A.; Jeukens, C.R.L.P.N.; Burgmans, S.; van Buchem, M.A.; Muller, M.; Hofman, P.A.M.; Verhey, F.R.J.; van Osch, M.J.P.; Backes, W.H. Subtle Blood-Brain Barrier Leakage Rate and Spatial Extent: Considerations for Dynamic Contrast-Enhanced MRI. Med. Phys. 2017, 44, 4112–4125. [Google Scholar] [CrossRef]
  81. Nelson, A.R.; Sweeney, M.D.; Sagare, A.P.; Zlokovic, B.V. Neurovascular Dysfunction and Neurodegeneration in Dementia and Alzheimer’s Disease. Biochim. Biophys. Acta 2016, 1862, 887–900. [Google Scholar] [CrossRef] [PubMed]
  82. Bensemain, F.; Hot, D.; Ferreira, S.; Dumont, J.; Bombois, S.; Maurage, C.-A.; Huot, L.; Hermant, X.; Levillain, E.; Hubans, C.; et al. Evidence for Induction of the Ornithine Transcarbamylase Expression in Alzheimer’s Disease. Mol. Psychiatry 2009, 14, 106–116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Bobermin, L.D.; Wartchow, K.M.; Flores, M.P.; Leite, M.C.; Quincozes-Santos, A.; Gonçalves, C.-A. Ammonia-Induced Oxidative Damage in Neurons Is Prevented by Resveratrol and Lipoic Acid with Participation of Heme Oxygenase 1. Neurotoxicology 2015, 49, 28–35. [Google Scholar] [CrossRef] [PubMed]
  84. Murthy, C.R.; Rama Rao, K.V.; Bai, G.; Norenberg, M.D. Ammonia-Induced Production of Free Radicals in Primary Cultures of Rat Astrocytes. J. Neurosci. Res. 2001, 66, 282–288. [Google Scholar] [CrossRef]
  85. Kosenko, E.; Felipo, V.; Montoliu, C.; Grisolía, S.; Kaminsky, Y. Effects of Acute Hyperammonemia in Vivo on Oxidative Metabolism in Nonsynaptic Rat Brain Mitochondria. Metab. Brain Dis. 1997, 12, 69–82. [Google Scholar] [CrossRef]
  86. Rao, K.V.; Mawal, Y.R.; Qureshi, I.A. Progressive Decrease of Cerebral Cytochrome C Oxidase Activity in Sparse-Fur Mice: Role of Acetyl-L-Carnitine in Restoring the Ammonia-Induced Cerebral Energy Depletion. Neurosci. Lett. 1997, 224, 83–86. [Google Scholar] [CrossRef]
  87. Qureshi, K.; Rao, K.V.; Qureshi, I.A. Differential Inhibition by Hyperammonemia of the Electron Transport Chain Enzymes in Synaptosomes and Non-Synaptic Mitochondria in Ornithine Transcarbamylase-Deficient Spf-Mice: Restoration by Acetyl-L-Carnitine. Neurochem. Res. 1998, 23, 855–861. [Google Scholar] [CrossRef]
  88. Le Prince, G.; Delaere, P.; Fages, C.; Lefrançois, T.; Touret, M.; Salanon, M.; Tardy, M. Glutamine Synthetase (GS) Expression Is Reduced in Senile Dementia of the Alzheimer Type. Neurochem. Res. 1995, 20, 859–862. [Google Scholar] [CrossRef]
  89. D’Apolito, M.; Du, X.; Zong, H.; Catucci, A.; Maiuri, L.; Trivisano, T.; Pettoello-Mantovani, M.; Campanozzi, A.; Raia, V.; Pessin, J.E.; et al. Urea-Induced ROS Generation Causes Insulin Resistance in Mice with Chronic Renal Failure. J. Clin. Investig. 2010, 120, 203–213. [Google Scholar] [CrossRef]
  90. Rodriguez, A.E.; Ducker, G.S.; Billingham, L.K.; Martinez, C.A.; Mainolfi, N.; Suri, V.; Friedman, A.; Manfredi, M.G.; Weinberg, S.E.; Rabinowitz, J.D.; et al. Serine Metabolism Supports Macrophage IL-1β Production. Cell Metab. 2019, 29, 1003–1011.e4. [Google Scholar] [CrossRef] [Green Version]
  91. Madeira, C.; Lourenco, M.V.; Vargas-Lopes, C.; Suemoto, C.K.; Brandão, C.O.; Reis, T.; Leite, R.E.P.; Laks, J.; Jacob-Filho, W.; Pasqualucci, C.A.; et al. D-Serine Levels in Alzheimer’s Disease: Implications for Novel Biomarker Development. Transl. Psychiatry 2015, 5, e561. [Google Scholar] [CrossRef] [PubMed]
  92. Le Douce, J.; Maugard, M.; Veran, J.; Matos, M.; Jégo, P.; Vigneron, P.-A.; Faivre, E.; Toussay, X.; Vandenberghe, M.; Balbastre, Y.; et al. Impairment of Glycolysis-Derived l-Serine Production in Astrocytes Contributes to Cognitive Deficits in Alzheimer’s Disease. Cell Metab. 2020, 31, 503–517.e8. [Google Scholar] [CrossRef] [PubMed]
  93. Mendonça Machado, N.; Torrinhas, R.S.; Sala, P.; Ishida, R.K.; Guarda, I.F.M.S.; de Moura, E.G.H.; Sakai, P.; Santo, M.A.; Linetzky Waitzberg, D. Type 2 Diabetes Metabolic Improvement After Roux-En-Y Gastric Bypass May Include a Compensatory Mechanism That Balances Fatty Acid β and ω Oxidation. JPEN J. Parenter Enter. Nutr. 2020, 44, 1417–1427. [Google Scholar] [CrossRef]
  94. McCormack, S.A.; Tague, L.L.; Gragoe, E.J.; Johnson, L.R. Regulation of Ornithine Decarboxylase Activity in LoVo Cells. Am. J. Physiol. 1990, 258, G934–G941. [Google Scholar] [CrossRef]
  95. González-Domínguez, R.; García, A.; García-Barrera, T.; Barbas, C.; Gómez-Ariza, J.L. Metabolomic Profiling of Serum in the Progression of Alzheimer’s Disease by Capillary Electrophoresis-Mass Spectrometry. Electrophoresis 2014, 35, 3321–3330. [Google Scholar] [CrossRef] [PubMed]
  96. Procter, A.W.; Palmer, A.M.; Francis, P.T.; Lowe, S.L.; Neary, D.; Murphy, E.; Doshi, R.; Bowen, D.M. Evidence of Glutamatergic Denervation and Possible Abnormal Metabolism in Alzheimer’s Disease. J. Neurochem. 1988, 50, 790–802. [Google Scholar] [CrossRef]
  97. Madeira, C.; Vargas-Lopes, C.; Brandão, C.O.; Reis, T.; Laks, J.; Panizzutti, R.; Ferreira, S.T. Elevated Glutamate and Glutamine Levels in the Cerebrospinal Fluid of Patients with Probable Alzheimer’s Disease and Depression. Front. Psychiatry 2018, 9, 561. [Google Scholar] [CrossRef] [Green Version]
  98. Redjems-Bennani, N.; Jeandel, C.; Lefebvre, E.; Blain, H.; Vidailhet, M.; Guéant, J.L. Abnormal Substrate Levels That Depend upon Mitochondrial Function in Cerebrospinal Fluid from Alzheimer Patients. Gerontology 1998, 44, 300–304. [Google Scholar] [CrossRef]
  99. Rivett, A.J. Preferential Degradation of the Oxidatively Modified Form of Glutamine Synthetase by Intracellular Mammalian Proteases. J. Biol. Chem. 1985, 260, 300–305. [Google Scholar] [CrossRef]
  100. Butterfield, D.A.; Poon, H.F.; St Clair, D.; Keller, J.N.; Pierce, W.M.; Klein, J.B.; Markesbery, W.R. Redox Proteomics Identification of Oxidatively Modified Hippocampal Proteins in Mild Cognitive Impairment: Insights into the Development of Alzheimer’s Disease. Neurobiol. Dis. 2006, 22, 223–232. [Google Scholar] [CrossRef]
  101. Cheng, L.; Qin, T.; Ma, J.; Duan, W.; Xu, Q.; Li, X.; Han, L.; Li, W.; Wang, Z.; Zhang, D.; et al. Hypoxia-Inducible Factor-1α Mediates Hyperglycemia-Induced Pancreatic Cancer Glycolysis. ACAMC 2019, 19, 1503–1512. [Google Scholar] [CrossRef] [PubMed]
  102. Sonnay, S.; Gruetter, R.; Duarte, J.M.N. How Energy Metabolism Supports Cerebral Function: Insights from 13C Magnetic Resonance Studies In Vivo. Front. Neurosci. 2017, 11, 288. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Hudd, F.; Shiel, A.; Harris, M.; Bowdler, P.; McCann, B.; Tsivos, D.; Wearn, A.; Knight, M.; Kauppinen, R.; Coulthard, E.; et al. Novel Blood Biomarkers That Correlate with Cognitive Performance and Hippocampal Volumetry: Potential for Early Diagnosis of Alzheimer’s Disease. J. Alzheimers Dis. 2019, 67, 931–947. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Timmer, N.M.; Herbert, M.K.; Claassen, J.A.H.R.; Kuiperij, H.B.; Verbeek, M.M. Total Glutamine Synthetase Levels in Cerebrospinal Fluid of Alzheimer’s Disease Patients Are Unchanged. Neurobiol. Aging 2015, 36, 1271–1273. [Google Scholar] [CrossRef] [Green Version]
  105. Chalimoniuk, M.; Stolecka, A.; Cakała, M.; Hauptmann, S.; Schulz, K.; Lipka, U.; Leuner, K.; Eckert, A.; Muller, W.E.; Strosznajder, J.B. Amyloid Beta Enhances Cytosolic Phospholipase A2 Level and Arachidonic Acid Release via Nitric Oxide in APP-Transfected PC12 Cells. Acta Biochim. Pol. 2007, 54, 611–623. [Google Scholar] [CrossRef] [Green Version]
  106. Uehara, T.; Nakamura, T.; Yao, D.; Shi, Z.-Q.; Gu, Z.; Ma, Y.; Masliah, E.; Nomura, Y.; Lipton, S.A. S-Nitrosylated Protein-Disulphide Isomerase Links Protein Misfolding to Neurodegeneration. Nature 2006, 441, 513–517. [Google Scholar] [CrossRef]
  107. Cho, D.-H.; Nakamura, T.; Fang, J.; Cieplak, P.; Godzik, A.; Gu, Z.; Lipton, S.A. S-Nitrosylation of Drp1 Mediates Beta-Amyloid-Related Mitochondrial Fission and Neuronal Injury. Science 2009, 324, 102–105. [Google Scholar] [CrossRef] [Green Version]
  108. Vural, H.; Sirin, B.; Yilmaz, N.; Eren, I.; Delibas, N. The Role of Arginine-Nitric Oxide Pathway in Patients with Alzheimer Disease. Biol. Trace Elem. Res. 2009, 129, 58–64. [Google Scholar] [CrossRef]
  109. Atawia, R.T.; Bunch, K.L.; Toque, H.A.; Caldwell, R.B.; Caldwell, R.W. Mechanisms of Obesity-Induced Metabolic and Vascular Dysfunctions. Front. Biosci. 2019, 24, 890–934. [Google Scholar] [CrossRef]
  110. Guillemin, G.J.; Williams, K.R.; Smith, D.G.; Smythe, G.A.; Croitoru-Lamoury, J.; Brew, B.J. Quinolinic Acid in the Pathogenesis of Alzheimer’s Disease. Adv. Exp. Med. Biol. 2003, 527, 167–176. [Google Scholar] [CrossRef]
  111. Bonda, D.J.; Mailankot, M.; Stone, J.G.; Garrett, M.R.; Staniszewska, M.; Castellani, R.J.; Siedlak, S.L.; Zhu, X.; Lee, H.; Perry, G.; et al. Indoleamine 2,3-Dioxygenase and 3-Hydroxykynurenine Modifications Are Found in the Neuropathology of Alzheimer’s Disease. Redox Rep. 2010, 15, 161–168. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Pérez-Severiano, F.; Escalante, B.; Ríos, C. Nitric Oxide Synthase Inhibition Prevents Acute Quinolinate-Induced Striatal Neurotoxicity. Neurochem. Res. 1998, 23, 1297–1302. [Google Scholar] [CrossRef] [PubMed]
  113. González-Domínguez, R.; García-Barrera, T.; Gómez-Ariza, J.L. Metabolite Profiling for the Identification of Altered Metabolic Pathways in Alzheimer’s Disease. J. Pharm. Biomed Anal. 2015, 107, 75–81. [Google Scholar] [CrossRef] [PubMed]
  114. Fernstrom, J.D.; Wurtman, R.J. Brain Serotonin Content: Physiological Regulation by Plasma Neutral Amino Acids. Science 1972, 178, 414–416. [Google Scholar] [CrossRef] [PubMed]
  115. Harmer, C.J.; McTavish, S.F.; Clark, L.; Goodwin, G.M.; Cowen, P.J. Tyrosine Depletion Attenuates Dopamine Function in Healthy Volunteers. Psychopharmacology 2001, 154, 105–111. [Google Scholar] [CrossRef] [PubMed]
  116. Gijsman, H.J.; Scarnà, A.; Harmer, C.J.; McTavish, S.B.; Odontiadis, J.; Cowen, P.J.; Goodwin, G.M. A Dose-Finding Study on the Effects of Branch Chain Amino Acids on Surrogate Markers of Brain Dopamine Function. Psychopharmacology 2002, 160, 192–197. [Google Scholar] [CrossRef]
  117. Scarnà, A.; McTavish, S.F.B.; Cowen, P.J.; Goodwin, G.M.; Rogers, R.D. The Effects of a Branched Chain Amino Acid Mixture Supplemented with Tryptophan on Biochemical Indices of Neurotransmitter Function and Decision-Making. Psychopharmacology 2005, 179, 761–768. [Google Scholar] [CrossRef]
  118. Ravaglia, G.; Forti, P.; Maioli, F.; Bianchi, G.; Martelli, M.; Talerico, T.; Servadei, L.; Zoli, M.; Mariani, E. Plasma Amino Acid Concentrations in Patients with Amnestic Mild Cognitive Impairment or Alzheimer Disease. Am. J. Clin. Nutr. 2004, 80, 483–488. [Google Scholar] [CrossRef] [Green Version]
  119. Corso, G.; Cristofano, A.; Sapere, N.; la Marca, G.; Angiolillo, A.; Vitale, M.; Fratangelo, R.; Lombardi, T.; Porcile, C.; Intrieri, M.; et al. Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia. Dement Geriatr. Cogn. Dis. Extra 2017, 7, 143–159. [Google Scholar] [CrossRef]
  120. Xu, G.; Kwon, G.; Marshall, C.A.; Lin, T.A.; Lawrence, J.C.; McDaniel, M.L. Branched-Chain Amino Acids Are Essential in the Regulation of PHAS-I and P70 S6 Kinase by Pancreatic Beta-Cells. A Possible Role in Protein Translation and Mitogenic Signaling. J. Biol. Chem. 1998, 273, 28178–28184. [Google Scholar] [CrossRef] [Green Version]
  121. Scaini, G.; Mello-Santos, L.M.; Furlanetto, C.B.; Jeremias, I.C.; Mina, F.; Schuck, P.F.; Ferreira, G.C.; Kist, L.W.; Pereira, T.C.B.; Bogo, M.R.; et al. Acute and Chronic Administration of the Branched-Chain Amino Acids Decreases Nerve Growth Factor in Rat Hippocampus. Mol. Neurobiol. 2013, 48, 581–589. [Google Scholar] [CrossRef] [PubMed]
  122. Wisniewski, M.S.W.; Carvalho-Silva, M.; Gomes, L.M.; Zapelini, H.G.; Schuck, P.F.; Ferreira, G.C.; Scaini, G.; Streck, E.L. Intracerebroventricular Administration of α-Ketoisocaproic Acid Decreases Brain-Derived Neurotrophic Factor and Nerve Growth Factor Levels in Brain of Young Rats. Metab. Brain Dis. 2016, 31, 377–383. [Google Scholar] [CrossRef]
  123. Parrella, E.; Maxim, T.; Maialetti, F.; Zhang, L.; Wan, J.; Wei, M.; Cohen, P.; Fontana, L.; Longo, V.D. Protein Restriction Cycles Reduce IGF-1 and Phosphorylated Tau, and Improve Behavioral Performance in an Alzheimer’s Disease Mouse Model. Aging Cell 2013, 12, 257–268. [Google Scholar] [CrossRef] [PubMed]
  124. Horst, D.; Grace, N.D.; Conn, H.O.; Schiff, E.; Schenker, S.; Viteri, A.; Law, D.; Atterbury, C.E. Comparison of Dietary Protein with an Oral, Branched Chain-Enriched Amino Acid Supplement in Chronic Portal-Systemic Encephalopathy: A Randomized Controlled Trial. Hepatology 1984, 4, 279–287. [Google Scholar] [CrossRef]
  125. Cerra, F.B.; Cheung, N.K.; Fischer, J.E.; Kaplowitz, N.; Schiff, E.R.; Dienstag, J.L.; Bower, R.H.; Mabry, C.D.; Leevy, C.M.; Kiernan, T. Disease-Specific Amino Acid Infusion (F080) in Hepatic Encephalopathy: A Prospective, Randomized, Double-Blind, Controlled Trial. JPEN J. Parenter Enter. Nutr. 1985, 9, 288–295. [Google Scholar] [CrossRef] [PubMed]
  126. Egberts, E.H.; Schomerus, H.; Hamster, W.; Jürgens, P. Branched Chain Amino Acids in the Treatment of Latent Portosystemic Encephalopathy. A Double-Blind Placebo-Controlled Crossover Study. Gastroenterology 1985, 88, 887–895. [Google Scholar] [CrossRef]
  127. Jordan, M.K.; Brunner, R.L.; Hunt, M.M.; Berry, H.K. Preliminary Support for the Oral Administration of Valine, Isoleucine and Leucine for Phenylketonuria. Dev. Med. Child Neurol. 1985, 27, 33–39. [Google Scholar] [CrossRef]
  128. Berry, H.K.; Brunner, R.L.; Hunt, M.M.; White, P.P. Valine, Isoleucine, and Leucine. A New Treatment for Phenylketonuria. Am. J. Dis. Child 1990, 144, 539–543. [Google Scholar] [CrossRef]
  129. Aquilani, R.; Iadarola, P.; Contardi, A.; Boselli, M.; Verri, M.; Pastoris, O.; Boschi, F.; Arcidiaco, P.; Viglio, S. Branched-Chain Amino Acids Enhance the Cognitive Recovery of Patients with Severe Traumatic Brain Injury. Arch. Phys. Med. Rehabil. 2005, 86, 1729–1735. [Google Scholar] [CrossRef]
  130. Aquilani, R.; Boselli, M.; Boschi, F.; Viglio, S.; Iadarola, P.; Dossena, M.; Pastoris, O.; Verri, M. Branched-Chain Amino Acids May Improve Recovery from a Vegetative or Minimally Conscious State in Patients with Traumatic Brain Injury: A Pilot Study. Arch. Phys. Med. Rehabil. 2008, 89, 1642–1647. [Google Scholar] [CrossRef]
  131. Cole, J.T.; Mitala, C.M.; Kundu, S.; Verma, A.; Elkind, J.A.; Nissim, I.; Cohen, A.S. Dietary Branched Chain Amino Acids Ameliorate Injury-Induced Cognitive Impairment. Proc. Natl. Acad. Sci. USA 2010, 107, 366–371. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Hassmén, P.; Blomstrand, E.; Ekblom, B.; Newsholme, E.A. Branched-Chain Amino Acid Supplementation during 30-km Competitive Run: Mood and Cognitive Performance. Nutrition 1994, 10, 405–410. [Google Scholar] [PubMed]
  133. Mittleman, K.D.; Ricci, M.R.; Bailey, S.P. Branched-Chain Amino Acids Prolong Exercise during Heat Stress in Men and Women. Med. Sci. Sports Exerc. 1998, 30, 83–91. [Google Scholar] [CrossRef] [PubMed]
  134. Tynkkynen, J.; Chouraki, V.; van der Lee, S.J.; Hernesniemi, J.; Yang, Q.; Li, S.; Beiser, A.; Larson, M.G.; Sääksjärvi, K.; Shipley, M.J.; et al. Association of Branched-Chain Amino Acids and Other Circulating Metabolites with Risk of Incident Dementia and Alzheimer’s Disease: A Prospective Study in Eight Cohorts. Alzheimers Dement. 2018, 14, 723–733. [Google Scholar] [CrossRef] [PubMed]
  135. Hutson, S.M.; Islam, M.M.; Zaganas, I. Interaction between Glutamate Dehydrogenase (GDH) and L-Leucine Catabolic Enzymes: Intersecting Metabolic Pathways. Neurochem. Int. 2011, 59, 518–524. [Google Scholar] [CrossRef] [PubMed]
  136. Conway, M.E.; Hutson, S.M. BCAA Metabolism and NH3 Homeostasis. Adv. Neurobiol. 2016, 13, 99–132. [Google Scholar] [CrossRef]
  137. Yudkoff, M.; Daikhin, Y.; Grunstein, L.; Nissim, I.; Stern, J.; Pleasure, D.; Nissim, I. Astrocyte Leucine Metabolism: Significance of Branched-Chain Amino Acid Transamination. J. Neurochem. 1996, 66, 378–385. [Google Scholar] [CrossRef]
  138. Bixel, M.G.; Hutson, S.M.; Hamprecht, B. Cellular Distribution of Branched-Chain Amino Acid Aminotransferase Isoenzymes among Rat Brain Glial Cells in Culture. J. Histochem. Cytochem. 1997, 45, 685–694. [Google Scholar] [CrossRef] [Green Version]
  139. Salcedo, C.; Andersen, J.V.; Vinten, K.T.; Pinborg, L.H.; Waagepetersen, H.S.; Freude, K.K.; Aldana, B.I. Functional Metabolic Mapping Reveals Highly Active Branched-Chain Amino Acid Metabolism in Human Astrocytes, Which Is Impaired in IPSC-Derived Astrocytes in Alzheimer’s Disease. Front. Aging Neurosci. 2021, 13, 736580. [Google Scholar] [CrossRef]
  140. García-Espinosa, M.A.; Wallin, R.; Hutson, S.M.; Sweatt, A.J. Widespread Neuronal Expression of Branched-Chain Aminotransferase in the CNS: Implications for Leucine/Glutamate Metabolism and for Signaling by Amino Acids. J. Neurochem. 2007, 100, 1458–1468. [Google Scholar] [CrossRef]
  141. Cotman, C.W.; Nieto-Sampedro, M.; Harris, E.W. Synapse Replacement in the Nervous System of Adult Vertebrates. Physiol. Rev. 1981, 61, 684–784. [Google Scholar] [CrossRef] [PubMed]
  142. Young, V.R.; Marchini, J.S. Mechanisms and Nutritional Significance of Metabolic Responses to Altered Intakes of Protein and Amino Acids, with Reference to Nutritional Adaptation in Humans. Am. J. Clin. Nutr. 1990, 51, 270–289. [Google Scholar] [CrossRef] [PubMed]
  143. Wilson, D.C.; Rafii, M.; Ball, R.O.; Pencharz, P.B. Threonine Requirement of Young Men Determined by Indicator Amino Acid Oxidation with Use of L-[1-(13)C]Phenylalanine. Am. J. Clin. Nutr. 2000, 71, 757–764. [Google Scholar] [CrossRef] [PubMed]
  144. Sato, T.; Ito, Y.; Nedachi, T.; Nagasawa, T. Lysine Suppresses Protein Degradation through Autophagic-Lysosomal System in C2C12 Myotubes. Mol. Cell Biochem. 2014, 391, 37–46. [Google Scholar] [CrossRef] [PubMed]
  145. Sato, T.; Ito, Y.; Nagasawa, T. Dietary L-Lysine Suppresses Autophagic Proteolysis and Stimulates Akt/MTOR Signaling in the Skeletal Muscle of Rats Fed a Low-Protein Diet. J. Agric. Food Chem. 2015, 63, 8192–8198. [Google Scholar] [CrossRef]
  146. Basic Neurochemistry: Molecular, Cellular, and Medical Aspects, 6th ed.; Siegel, G.J. (Ed.) Lippincott Williams & Wilkins: Philadelphia, PA, USA, 1999; Chapter 24; ISBN 978-0-397-51820-3. [Google Scholar]
  147. Hu, Q.; Teng, W.; Li, J.; Hao, F.; Wang, N. Homocysteine and Alzheimer’s Disease: Evidence for a Causal Link from Mendelian Randomization. J. Alzheimers Dis. 2016, 52, 747–756. [Google Scholar] [CrossRef]
  148. Poprac, P.; Jomova, K.; Simunkova, M.; Kollar, V.; Rhodes, C.J.; Valko, M. Targeting Free Radicals in Oxidative Stress-Related Human Diseases. Trends Pharmacol. Sci. 2017, 38, 592–607. [Google Scholar] [CrossRef]
  149. Hinrichs, H.R.; Petersen, R.O.; Baserga, R. Incorporation of thymidine into DNA of mouse organs. Arch. Pathol. 1964, 78, 245–253. [Google Scholar]
  150. Ballou, J.E.; Thompson, R.C. Studies of Metabolic Turnover with Tritium as a Tracer. V. The Predominantly Non-Dynamic State of Body Constituents in the Rat. J. Biol. Chem. 1956, 223, 795–809. [Google Scholar]
  151. Gan, J.C.; Jeffay, H. Origins and Metabolism of the Intracellular Amino Acid Pools in Rat Liver and Muscle. Biochim. Biophys. Acta 1967, 148, 448–459. [Google Scholar] [CrossRef]
  152. Smeets, J.S.J.; Horstman, A.M.H.; Schijns, O.E.M.G.; Dings, J.T.A.; Hoogland, G.; Gijsen, A.P.; Goessens, J.P.B.; Bouwman, F.G.; Wodzig, W.K.W.H.; Mariman, E.C.; et al. Brain Tissue Plasticity: Protein Synthesis Rates of the Human Brain. Brain 2018, 141, 1122–1129. [Google Scholar] [CrossRef] [PubMed]
  153. Schmidt, K.C.; Cook, M.P.; Qin, M.; Kang, J.; Burlin, T.V.; Smith, C.B. Measurement of Regional Rates of Cerebral Protein Synthesis with L-[1-11C]Leucine and PET with Correction for Recycling of Tissue Amino Acids: I. Kinetic Modeling Approach. J. Cereb. Blood Flow Metab. 2005, 25, 617–628. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Smith, C.B.; Schmidt, K.C.; Qin, M.; Burlin, T.V.; Cook, M.P.; Kang, J.; Saunders, R.C.; Bacher, J.D.; Carson, R.E.; Channing, M.A.; et al. Measurement of Regional Rates of Cerebral Protein Synthesis with L-[1-11C]Leucine and PET with Correction for Recycling of Tissue Amino Acids: II. Validation in Rhesus Monkeys. J. Cereb. Blood Flow Metab. 2005, 25, 629–640. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Dallman, P.R.; Spirito, R.A. Brain Response to Protein Undernutrition. Mechanism of Preferential Protein Retention. J. Clin. Investig. 1972, 51, 2175–2180. [Google Scholar] [CrossRef] [PubMed]
  156. Hou, Y.; Yin, Y.; Wu, G. Dietary Essentiality of “Nutritionally Non-Essential Amino Acids” for Animals and Humans. Exp. Biol. Med. 2015, 240, 997–1007. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Tapia-Rojas, C.; Lindsay, C.B.; Montecinos-Oliva, C.; Arrazola, M.S.; Retamales, R.M.; Bunout, D.; Hirsch, S.; Inestrosa, N.C. Is L-Methionine a Trigger Factor for Alzheimer’s-like Neurodegeneration? Changes in Aβ Oligomers, Tau Phosphorylation, Synaptic Proteins, Wnt Signaling and Behavioral Impairment in Wild-Type Mice. Mol. Neurodegener 2015, 10, 62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  158. Sanchez-Roman, I.; Barja, G. Regulation of Longevity and Oxidative Stress by Nutritional Interventions: Role of Methionine Restriction. Exp. Gerontol. 2013, 48, 1030–1042. [Google Scholar] [CrossRef]
  159. Wang, X.; Zhu, M.; Hjorth, E.; Cortés-Toro, V.; Eyjolfsdottir, H.; Graff, C.; Nennesmo, I.; Palmblad, J.; Eriksdotter, M.; Sambamurti, K.; et al. Resolution of Inflammation Is Altered in Alzheimer’s Disease. Alzheimers Dement. 2015, 11, 40–50.e1-2. [Google Scholar] [CrossRef] [Green Version]
  160. Kepka, A.; Ochocinska, A.; Borzym-Kluczyk, M.; Skorupa, E.; Stasiewicz-Jarocka, B.; Chojnowska, S.; Waszkiewicz, N. Preventive Role of L-Carnitine and Balanced Diet in Alzheimer’s Disease. Nutrients 2020, 12, 1987. [Google Scholar] [CrossRef]
  161. Muñoz Fernández, S.S.; Lima Ribeiro, S.M. Nutrition and Alzheimer Disease. Clin. Geriatr. Med. 2018, 34, 677–697. [Google Scholar] [CrossRef]
Figure 1. Scatterplot of Cerebrospinal fluid (CSF) Arginine as a function of Insulin. Spearman’s r and Pearson’s r are also reported with corresponding p-values.
Figure 1. Scatterplot of Cerebrospinal fluid (CSF) Arginine as a function of Insulin. Spearman’s r and Pearson’s r are also reported with corresponding p-values.
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Figure 2. Scatterplot of Cerebrospinal fluid (CSF) Branched-Chain Amino Acids (BCAA)/Total Amino Acids (Total AAs) as a function of Plasma BCAA/Total AAs. Spearman’s r and Pearson’s r are also reported with corresponding p-values.
Figure 2. Scatterplot of Cerebrospinal fluid (CSF) Branched-Chain Amino Acids (BCAA)/Total Amino Acids (Total AAs) as a function of Plasma BCAA/Total AAs. Spearman’s r and Pearson’s r are also reported with corresponding p-values.
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Figure 3. Some general potential mechanisms underlying brain amino acid overutilization and reduced CSF amino acid levels. Nutrients 14 01872 i001 increase Nutrients 14 01872 i002 decrease. BBB: Blood-Brain-Barrier.
Figure 3. Some general potential mechanisms underlying brain amino acid overutilization and reduced CSF amino acid levels. Nutrients 14 01872 i001 increase Nutrients 14 01872 i002 decrease. BBB: Blood-Brain-Barrier.
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Table 1. Non-amino acid variables of the entire population with AD.
Table 1. Non-amino acid variables of the entire population with AD.
VariablesAD Patients
Demographic variables
Age (years)74.41 ± 8.17
Male gender46%
Disease duration (years)3.4 ± 3.2
Anthropometric variables
Education (years)6.57 ± 8.17
Body weight (kg)63.30 ± 13.24
Height (cm)160.63 ± 9.97
Body mass index (kg/m2)24.61 ± 4.87
Mid-arm circumference (cm)26.15 ± 3.29
Biohumoral variables
Glucose (NV 70–115 mg/dL)88.88 ± 13.78
Insulin (NV 4–24 µU/mL)14.10 ± 5.72
HOMA-IR (NV < 2.4)4.44 ± 2.19
Glycosylated hemoglobin (NV 4.8–5.9%)5.65 ± 0.85
Total cholesterol (NV < 200 mg/dL)192.94 ± 32.90
HDL cholesterol (NV: M > 55 mg/dL; F > 65 mg/dL)57.66 ± 14.77
LDL cholesterol (NV < 100 mg/dL)116.03 ± 26.95
Transferrin (NV 200–360 mg/dL)227.29 ± 40.90
Iron (NV 59–158 µg/dL)86.41 ± 25.80
Triglycerides (NV 0–200 mg/dL)97.42 ± 38.34
Vitamin B12 (NV 191–663 pg/mL)302.87 ± 114.49
Folate (NV 3.1–17.5 ng/mL)6.84 ± 3.75
Creatinine (NV: M 0.73–1.18 mg/dL; F 0.55–1.02 mg/dL)0.86 ± 0.22
Albumin (NV 55.8-66.1%)57.65 ± 5.02
Total protein (NV 6.2–7.5 g/dL)6.24 ± 0.41
White blood cell count (NV 4.00–10.00 × 103 /µL)6.35 ± 1.64
Red blood cell count (NV: M 4.30–5.70 × 106 /µL; F 3.80–5.20 × 106 /µL)4.29 ± 0.45
Hemoglobin (NV: M 13.2–17.3 g/dL; F 11.7–15.5 g/dL)13.06 ± 1.28
Erythrosedimentation rate (NV < 15 mm/1st h)19.90 ± 21.92
AD biomarker concentrations in CSF
tau protein (NV < 404 pg/mL)488.25 ± 458.38
p-tau (NV < 56.5 pg/mL)78.48 ± 34.13
β-amyloid (NV > 599 pg/mL)511.48 ± 379.68
β-amyloid/tau (NV > 1.6)2.02 ± 3.13
Neurocognitive tests Mini Mental State Examination
(MMSE < 24 denotes cognitive impairment)
16.28 ± 6.53
AD: Alzheimer Disease; CSF: Cortical Spinal Fluid; MMSE: Mini Mental State Examination; NV: normal value.
Table 2. Cerebrospinal fluid (CSF) amino acid levels (µmol/L) in AD patients and in controls (CTRL).
Table 2. Cerebrospinal fluid (CSF) amino acid levels (µmol/L) in AD patients and in controls (CTRL).
CTRLAD Patientsp Value *
Aspartic Acid1.38 ± 0.521.46 ± 0.950.38
Glutamic Acid57.10 ± 18.6657.41 ± 18.010.97
Asparagine15.41 ± 3.463.20 ± 2.83 *<0.0001
Serine15.50 ± 5.188.00 ± 4.39 *0.0006
Glutamine617.50 ± 100.74248.15 ± 116.49 *<0.0001
Histidine9.85 ± 2.518.24 ± 3.020.13
Glycine9.36 ± 5.014.05 ± 2.35 *<0.0001
Threonine38.23 ± 8.9827.26 ± 15.46 *0.001
Citrulline1.56 ± 1.301.53 ± 0.940.82
Alanine59.02 ± 19.4937.45 ± 15.92 *0.0008
Arginine34.31 ± 11.0917.84 ± 5.83 *<0.0001
Tyrosine13.02 ± 7.109.14 ± 3.68 *0.023
Cysteine10.36 ± 4.238.23 ± 3.170.14
Valine34.24 ± 14.3319.84 ± 10.74 *0.0004
Methionine4.55 ± 1.862.45 ± 1.43 *0.0004
Tryptophan4.51 ± 1.882.06 ± 1.45 *<0.0001
Phenylalanine17.04 ± 4.1610.33 ± 3.75 *<0.0001
Isoleucine11.93 ± 3.566.63 ± 3.66 *<0.0001
Leucine24.95 ± 8.1714.16 ± 7.02 *0.0002
Lysine32.23 ± 11.1020.53 ± 6.73 *0.001
Ornithine5.21 ± 3.704.40 ± 4.940.20
Total AAs922.38 ± 307.78504.71 ± 191.35 *0.0003
EAAs184.78 ± 52.85111.88 ± 46.25 *<0.0001
BCAAs63.21 ± 20.2540.63 ± 21.25 *0.0005
BCAAs/TAAs0.08 ± 0.040.08 ± 0.030.17
EAAs/TAAs0.22 ± 0.090.23 ± 0.060.07
BCAAs/EAAs0.34 ± 0.040.36 ± 0.060.48
Trp ratio (%)0.05 ± 0.010.04 ± 0.03 *0.0003
CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance. * p < 0.05.
Table 3. Plasma amino acid levels (µmol/L) in AD patients and in controls (CTRL).
Table 3. Plasma amino acid levels (µmol/L) in AD patients and in controls (CTRL).
ControlsAD Patientsp Value *
Aspartic Acid 7.33 ± 2.407.47 ± 3.910.53
Glutamic Acid89.89 ± 46.5063.56 ± 18.81 *0.033
Asparagine38.11 ± 6.7439.84 ± 5.090.59
Serine90.67 ± 22.6399.31 ± 22.390.27
Glutamine514.44 ± 136.72514.09 ± 82.961.00
Histidine47.89 ± 7.4967.16 ± 11.99 *0.00019
Glycine205.22 ± 66.65226.47 ± 63.130.20
Threonine101.33 ± 17.33116.59 ± 25.060.19
Citrulline30.11 ± 14.7135.50 ± 12.100.31
Alanine456.67 ± 113.67340.22 ± 71.92 *0.004
Arginine49.00 ± 16.1764.75 ± 22.36 *0.042
Tyrosine53.44 ± 12.8451.81 ± 9.830.71
Cysteinenanana
Valine180.13 ± 43.68203.23 ± 54.190.25
Methioninenanana
Tryptophan40.89 ± 6.4543.59 ± 8.620.26
Phenylalanine57.67 ± 9.7051.16 ± 9.540.08
Isoleucine64.44 ± 17.2254.44 ± 15.34 *0.058
Leucine128.67 ± 31.20104.22 ± 27.79 *0.025
Lysine208.22 ± 42.67196.75 ± 33.610.61
Ornithine87.11 ± 32.1582.84 ± 23.780.73
Total AAs2839.81 ± 412.482366.48 ± 315.21 *0.004
EAAs1115.67 ± 175.91876.98 ± 159.22 *0.002
BCAAs373.24 ± 91.60361.88 ± 96.200.74
BCAAs/TAAs0.13 ± 0.040.15 ± 0.03 *0.036
EAAs/TAAs0.39 ± 0.030.37 ± 0.030.057
BCAAs/EAAs0.34 ± 0.090.41 ± 0.04 *0.001
Trp ratio (%)0.09 ± 0.020.10 ± 0.020.39
CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance; * p < 0.05; na: not available.
Table 4. Cerebrospinal fluid amino acid levels (µmol/L) in AD patients, stratified by nutritional state, and in controls (CTRL).
Table 4. Cerebrospinal fluid amino acid levels (µmol/L) in AD patients, stratified by nutritional state, and in controls (CTRL).
LiquorCTRLMNA Grp 1MNA Grp 2MNA Grp 3p
Global
CTRL vs. MNA1
p *
CTRL vs. MNA2
p *
CTRL vs. MNA3
p *
Aspartic Acid 1.38 ± 0.520.82 ± 0.11 *1.44 ± 1.171.76 ± 0.850.0060.0260.930.98
Glutamic Acid57.10 ± 18.6645.83 ± 15.0849.61 ± 20.7468.51 ± 9.160.0110.680.850.38
Asparagine15.41 ± 3.462.51 ± 1.42 *3.43 ± 3.90 *3.33 ± 2.34 *<0.00010.0020.000210.0006
Serine15.50 ± 5.186.02 ± 1.97 *8.31 ± 5.46 *8.66 ± 4.190.0050.0130.0430.053
Glutamine617.50 ± 100.74192.37 ± 106.76 *261.70 ± 116.83 *262.44 ± 121.35 *<0.00010.000350.0010.00042
Hystidine9.85 ± 2.518.21 ± 4.147.89 ± 3.388.55 ± 2.250.39
Glycine9.36 ± 5.013.13 ± 2.27 *4.42 ± 3.10 *4.17 ± 1.63 *0.00070.0040.0110.007
Threonine38.23 ± 8.9821.35 ± 11.25 *29.41 ± 21.68 *28.10 ± 10.970.0080.0230.0490.11
Citrulline1.56 ± 1.301.03 ± 0.561.40 ± 0.941.85 ± 1.010.18
Alanine59.02 ± 19.4936.33 ± 18.7933.44 ± 17.63 *41.07 ± 13.490.0020.130.0020.24
Arginine34.31 ± 11.0915.36 ± 6.55 *17.83 ± 5.21 *18.91 ± 6.09 *0.00050.0070.0070.006
Tyrosine13.02 ± 7.108.13 ± 4.079.68 ± 4.939.15 ± 2.330.12
Cysteine10.36 ± 4.236.65 ± 2.498.25 ± 3.958.89 ± 2.680.19
Valine34.24 ± 14.3313.99 ± 7.67 *18.00 ± 11.62 *23.78 ± 10.220.000350.0020.0030.35
Methionine4.55 ± 1.861.73 ± 0.99 *2.35 ± 1.66 *2.84 ± 1.340.0020.0060.0110.12
Tryptophan4.51 ± 1.881.44 ± 0.63 *1.94 ± 1.01 *2.42 ± 1.89 *<0.00010.00080.0020.005
Phenylalanine17.04 ± 4.169.21 ± 4.82 *9.82 ± 4.33 *11.21 ± 2.73 *0.00060.0100.0020.042
Isoleucine11.93 ± 3.564.96 ± 2.42 *5.52 ± 3.36 *8.21 ± 3.86<0.00010.0020.000300.15
Leucine24.95 ± 8.1710.75 ±5.85 *12.77 ± 6.88 *16.73 ± 7.070.000240.0020.0020.18
Lysine32.2 ±11.1017.04 ±5.46 *19.37 ± 8.35 *22.93 ± 5.130.0010.0130.0040.48
Ornithine5.21 ± 3.703.89 ± 2.735.42 ± 7.923.77 ± 1.460.49
Total AAs922.38 ± 307.78411.28 ± 187.85 *513.10 ± 224.29 *538.16 ± 164.10 *0.0020.0060.0170.07
EAAs184.78 ± 52.8589.47 ± 41.21 *108.15 ± 62.05 *124.42 ± 30.130.000180.0010.0010.11
BCAAs63.21 ± 20.2529.70 ± 15.79 *36.29 ± 21.75 *48.72 ± 20.990.000400.0030.0030.39
BCAAs/TAAs0.08 ± 0.040.07 ± 0.010.07 ± 0.020.10 ± 0.040.17
EAAs/TAAs0.22 ± 0.090.22 ± 0.020.21 ± 0.040.24 ± 0.070.16
BCAAs/EAAs0.34 ± 0.040.33 ± 0.050.34 ± 0.040.38 ± 0.080.23
Trp ratio (%)0.05 ± 0.010.03 ± 0.010.03 ± 0.01 *0.04 ± 0.05 *0.0020.100.140.001
Group 1: malnutrition, Group 2: at risk, Group 3: normal nutrition. CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance; * p < 0.05.
Table 5. Differences in the distribution (%) of individual AAs (n = 20) in CSF and plasma (n = 19) in ADs stratified by nutritional state.
Table 5. Differences in the distribution (%) of individual AAs (n = 20) in CSF and plasma (n = 19) in ADs stratified by nutritional state.
Group 1
Malnourished
Group 2
At Risk
Group 3
Normonourished
Group 1 + 2
Combined
CSF70703570
Plasma005.226.3
Table 6. Differences in the types of altered CSF amino acids in relation to nutrition state in AD patients.
Table 6. Differences in the types of altered CSF amino acids in relation to nutrition state in AD patients.
Group 1
Malnourished
Group 2
At risk
Group 3
Normonurished
Group 1 + 2
Combined
CSF-Alanine-Alanine
Aspartate---
* Asparagine* Asparagine* AsparagineAsparagine
* Serine* Serine* SerineSerine
* Glutamine* Glutamine* GlutamineGlutamine
* Glycine* Glycine* Glycine-
ThreonineThreonine-Threonine
* Arginine* Arginine* ArginineArginine
ValineValine-Valine
MethionineMethionine-Methionine
* Tryptophane* Tryptophane* TryptophaneTryptophane
* Phenylalanine* Phenylalanine* PhenylalaninePhenylalanine
IsoleucineIsoleucine-Isoleucine
LeucineLeucine-Leucine
LysineLysine-Lysine
Total amino acidsTotal amino acids-Total amino acids
Essential amino acidsEssential amino acids-Essential amino acids
Brain chain amino acidsBrain chain amino acids-Brain chain amino acids
-- Trp/ratio
* Amino Acid alterations shared by the 3 groups of patients independently of nutritional state.
Table 7. Plasma amino acid levels (µmol/L) in AD patients, stratified by nutritional state, and in controls (CTRL).
Table 7. Plasma amino acid levels (µmol/L) in AD patients, stratified by nutritional state, and in controls (CTRL).
PlasmaCTRLMNA
Grp 1–2
MNA
Grp 3
p GlobalCTRL vs. MNA 1 + 2
p *
CTRL vs. MNA 3
p *
MNA1 + 2 vs. MNA 3
p ^
Aspartic Acid 7.33 ± 2.407.44 ± 4.437.50 ± 3.460.76
Glutamic Acid89.89 ± 46.5060.38 ± 18.28 *66.75 ± 19.380.0510.0440.380.57
Asparagine38.11 ± 6.7438.56 ± 5.1641.13 ± 4.830.41
Serine90.67 ± 22.6399.31 ± 25.0099.31 ± 20.270.53
Glutamine514.44 ± 136.72504.75 ± 79.54523.44 ± 87.820.96
Histidine47.89 ± 7.4964.44 ± 10.78 *69.88 ± 12.85 *0.000470.0100.000320.60
Glycine205.22 ± 66.65238.06 ± 79.17214.88 ± 41.020.38
Threonine101.33 ± 17.33119.06 ± 25.61114.13 ± 25.090.31
Citrulline30.11 ± 14.7133.25 ± 10.1337.75 ± 13.760.49
Alanine456.67 ± 113.67345.13 ± 84.88 *335.31 ± 58.61 *0.0160.0260.0301.00
Arginine49.00 ± 16.1763.94 ± 19.1365.56 ± 25.800.12
Tyrosine53.44 ± 12.8454.50 ± 9.6149.13 ± 9.580.38
Cysteinena na nana
Valine180.13 ± 43.68181.72 ± 49.84224.74 ± 50.97 *0.0251.000.100.042
Methioninenana na na
Tryptophan40.89 ± 6.4542.38 ± 10.4244.81 ± 6.480.34
Phenylalanine57.67 ± 9.7051.44 ± 9.0450.88 ± 10.310.15
Isoleucine64.44 ± 17.2248.88 ± 12.40 *60.00 ± 16.320.0440.0470.650.28
Leucine128.67 ± 31.2093.19 ± 25.56 *115.25 ± 26.14 *0.0060.0080.620.07
Lysine208.22 ± 42.67190.88 ± 38.90202.63 ± 27.350.54
Ornithine87.11 ± 32.1581.56 ± 24.8484.13 ±23.410.93
Total AA2839.81 ± 412.482322.02 ± 363.07 *2410.94 ± 263.250.0100.0080.0620.80
EAAs1115.67 ± 175.91830.53 ± 162.84 *923.42 ± 145.850.0020.0020.080.36
BCAAs373.24 ± 91.60323.78 ± 86.86399.99 ±92.110.060
BCAAs/TAAs0.13 ± 0.040.14 ± 0.020.16 ± 0.03 *^0.0040.810.0080.027
EAAs/TAAs0.39 ± 0.030.36 ± 0.03 *0.38 ± 0.030.0170.0250.780.10
BCAAs/EAAs0.34 ± 0.090.39 ± 0.040.43 ± 0.04 *^0.000270.150.000210.050
Trp ratio (%)0.09 ± 0.020.10 ± 0.020.09 ± 0.010.28
Group 1–2: malnutrition + at risk, Group 3: normal nutrition. CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance na: not available. * p < 0.05 CTRL vs. MNA1 + 2; * p < 0.05 CTRL vs. MNA3; ^ p < 0.05 MNA1 + 2 vs. MNA3.
Table 8. Cerebrospinal fluid amino acid levels (µmol/l) in AD patients, stratified by nutritional state, and in controls (CTRL).
Table 8. Cerebrospinal fluid amino acid levels (µmol/l) in AD patients, stratified by nutritional state, and in controls (CTRL).
LiquorCTRLMNA Grp1 + 2MNA Grp 3p GlobalCTRL vs. MNA 1 + 2
p *
CTRL vs. MNA 3
p *
MNA 1 + 2 vs. MNA 3
p ^
Aspartic Acid 1.38 ± 0.521.22 ± 0.981.76 ± 0.85 ^0.0150.120.870.018
Glutamic Acid57.10 ± 18.6648.28 ± 18.5368.51 ± 9.16 ^0.0040.380.210.003
Asparagine15.41 ± 3.463.11 ± 3.22 *3.33 ± 2.34 *<0.0001<0.00010.000290.95
Serine15.50 ± 5.187.50 ± 4.60 *8.66 ± 4.19 *0.0020.0020.0270.91
Glutamine617.50 ± 100.74237.23 ± 115.15 *262.44 ± 121.35 *<0.0001<0.00010.000210.99
Histidine9.85 ± 2.518.01 ± 3.548.55 ± 2.250.24
Glycine9.36 ± 5.013.97 ± 2.83 *4.17 ± 1.63 *0.000270.000410.0030.98
Threonine38.23 ± 8.9826.56 ± 18.68 *28.10 ± 10.970.0030.0030.0560.79
Citrulline1.56 ± 1.301.27 ± 0.831.85 ± 1.010.14
Alanine59.02 ± 19.4934.46 ± 17.51 *41.07 ± 13.490.00100.00060.130.28
Arginine34.31 ± 11.0916.96 ± 5.64 *18.91 ± 6.09 *0.000170.000270.0030.95
Tyrosine13.02 ± 7.109.14 ± 4.589.15 ± 2.330.07
Cysteine10.36 ± 4.237.68 ± 3.518.89 ± 2.680.11
Valine34.24 ± 14.3316.59 ± 10.33 *23.78 ± 10.220.00012<0.00010.200.060
Methionine4.55 ± 1.862.13 ± 1.45 *2.84 ± 1.340.00060.000390.0600.41
Tryptophan4.51 ± 1.881.76 ± 0.90 *2.42 ± 1.89 *<0.0001<0.00010.0020.74
Phenylalanine17.04 ± 4.169.61 ± 4.37 *11.21 ± 2.73 *0.000180.000120.0210.49
Isoleucine11.93 ± 3.565.33 ± 3.00 *8.21 ± 3.86<0.0001<0.00010.080.061
Leucine24.95 ± 8.1712.05 ± 6.43 *16.73 ± 7.07<0.0001<0.00010.090.11
Lysine32.23 ± 11.1018.55 ± 7.36 *22.93 ± 5.130.000450.000290.280.08
Ornithine5.21 ± 3.704.88 ± 6.493.77 ± 1.460.30
Total AAs922.38 ± 307.78477.16 ± 212.10 *538.16 ± 164.10 *0.00080.00060.0380.61
EAAs184.78 ± 52.85101.56 ± 54.97 *124.42 ± 30.13<0.0001<0.00010.0580.14
BCAAs63.21 ± 20.2533.97 ± 19.60 *48.72 ± 20.99 ^0.00013<0.00010.220.055
BCAAs/TAAs0.08 ± 0.040.07 ± 0.020.10 ± 0.040.09
EAAs/TAAs0.22 ± 0.090.21 ± 0.030.24 ± 0.070.09
BCAAs/EAAs0.34 ± 0.040.33 ± 0.040.38 ± 0.080.12
Trp ratio (%)0.05 ± 0.010.03 ± 0.01 *0.04 ± 0.05 *0.00070.0180.00070.60
Group 1–2: malnutrition + at risk, Group 3: normal nutrition. CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance. * p < 0.05 CTRL vs. MNA1 + 2; * p < 0.05 CTRL vs. MNA3; ^ p < 0.05 MNA1 + 2 vs MNA3.
Table 9. CSF/plasma AA ratios in CTRL and AD patients.
Table 9. CSF/plasma AA ratios in CTRL and AD patients.
VariableCTRLADp *
Aspartic Acid 0.17 ± 0.050.24 ± 0.160.27
Glutamic Acid0.93 ± 0.810.98 ± 0.430.27
Asparagine0.43 ± 0.090.08 ± 0.07 *<0.0001
Serine0.19 ± 0.050.08 ± 0.04 *0.00022
Glutamine1.34 ± 0.360.50 ± 0.27 *<0.0001
Histidine0.21 ± 0.050.13 ± 0.06 *0.002
Glycine0.04 ± 0.020.02 ± 0.01 *<0.0001
Threonine0.42 ± 0.110.23 ± 0.11 *0.0006
Citrulline0.05 ± 0.030.05 ± 0.030.80
Alanine0.16 ± 0.050.11 ± 0.04 *0.015
Arginine0.76 ± 0.280.30 ± 0.14 *<0.0001
Tyrosine0.25 ± 0.080.17 ± 0.06 *0.029
Cysteinena na na
Valine0.19 ± 0.060.10 ± 0.04 *0.00011
Methioninena na na
Tryptophan0.10 ± 0.030.05 ± 0.03 *0.00023
Phenylalanine0.32 ± 0.080.20 ± 0.08 *0.001
Isoleucine0.22 ± 0.110.12 ± 0.05 *0.001
Leucine0.22 ± 0.090.14 ± 0.06 *0.003
Lysine0.18 ± 0.070.11 ± 0.04 *0.003
Ornithine0.05 ± 0.050.05 ± 0.050.88
Total AAs0.38 ± 0.080.22 ± 0.08 *0.00017
EAAs0.18 ± 0.050.13 ± 0.05 *0.007
BCAAs0.18 ± 0.050.11 ± 0.05 *0.0010
BCAAs/TAAs0.48 ± 0.090.54 ± 0.170.64
EAAs/TAAs0.48 ± 0.050.61 ± 0.14 *0.002
BCAAs/EAAs1.02 ± 0.180.87 ± 0.11 *0.006
Trp ratio (%)0.51 ± 0.160.40 ± 0.36 *0.008
CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance; * p < 0.05; na: not available.
Table 10. CSF/plasma AA ratios in relation to patient nutritional state.
Table 10. CSF/plasma AA ratios in relation to patient nutritional state.
VariableCTRLMNA
Grp 1
MNA
Grp 2
MNA
Grp 3
p GlobalCTRL vs. MNA 1
p *
CTRL vs. MNA 2
p *
CTRL vs. MNA 3
p *
Aspartic Acid 0.17 ± 0.050.14 ± 0.080.23 ± 0.200.28 ± 0.130.0550.991.000.24
Glutamic Acid0.93 ± 0.810.80 ± 0.410.88 ± 0.401.13 ± 0.430.21
Asparagine0.43 ± 0.090.06 ± 0.03 *0.09 ± 0.10 *0.08 ± 0.06 *0.000420.0040.0020.002
Serine0.19 ± 0.050.06 ± 0.03 *0.09 ± 0.05 *0.09 ± 0.03 *0.0020.0060.0130.015
Glutamine1.34 ± 0.360.32 ± 0.13 *0.54 ± 0.28 *0.54 ± 0.28 *0.00050.0020.0050.005
Histidine0.21 ± 0.050.11 ± 0.060.14 ± 0.08 *0.13 ± 0.04 *0.0150.0520.0410.047
Glycine0.04 ± 0.020.01 ± 0.01 *0.02 ± 0.01 *0.02 ± 0.01 *0.00100.0050.0050.007
Threonine0.42 ± 0.110.16 ± 0.08 *0.24 ± 0.13 *0.25 ± 0.09 *0.0030.0040.0280.038
Citrulline0.05 ± 0.030.03 ± 0.010.04 ± 0.020.06 ± 0.040.18
Alanine0.16 ± 0.050.09 ± 0.040.10 ± 0.04 *0.13 ± 0.040.0190.110.0300.72
Arginine0.76 ± 0.280.22 ± 0.12 *0.30 ± 0.09 *0.33 ± 0.17 *0.000430.0020.0030.004
Tyrosine0.25 ± 0.080.13 ± 0.05 *0.18 ± 0.080.18 ± 0.040.0430.0280.470.54
Cysteinena na na na na
Valine0.19 ± 0.060.07 ± 0.03 *0.10 ± 0.06 *0.11 ± 0.03 *0.00070.0010.0070.013
Methioninena na na na na
Tryptophan0.10 ± 0.030.03 ± 0.01 *0.05 ± 0.03 *0.05 ± 0.04 *0.0020.0040.0170.012
Phenylalanine0.32 ± 0.080.14 ± 0.06 *0.21 ± 0.09 *0.22 ± 0.060.0030.0020.0420.13
Isoleucine0.22 ± 0.110.09 ± 0.04 *0.12 ± 0.07 *0.14 ± 0.040.0020.0050.0100.21
Leucine0.22 ± 0.090.10 ± 0.05 *0.14 ± 0.070.14 ± 0.040.0170.0260.0640.12
Lysine0.18 ± 0.070.09 ± 0.04 *0.11 ± 0.05 *0.11 ± 0.020.0170.0280.0500.14
Ornithine0.05 ± 0.050.04 ± 0.030.06 ± 0.070.05 ± 0.020.98
Total AAs0.38 ± 0.080.16 ± 0.07 *0.23 ± 0.10 *0.23 ± 0.08 *0.0010.0030.0170.009
EAAs0.18 ± 0.050.10 ± 0.05 *0.13 ± 0.070.14 ± 0.030.0230.0240.110.25
BCAAs0.18 ± 0.050.08 ± 0.04 *0.12 ± 0.06 *0.12 ± 0.040.0050.0070.0240.08
BCAAs/TAAs0.48 ± 0.090.50 ± 0.060.53 ± 0.140.57 ± 0.220.85
EAAs/TAAs0.48 ± 0.050.60 ± 0.070.60 ± 0.110.63 ± 0.18 *0.0230.130.0700.030
BCAAs/EAAs1.02 ± 0.180.83 ± 0.030.88 ± 0.100.89 ± 0.140.0440.110.090.15
Trp ratio (%)0.51 ± 0.160.35 ± 0.090.35 ± 0.130.45 ± 0.52 *0.0590.450.230.046
Group 1: malnutrition, Group 2: at risk, Group 3: normal nutrition. CTRL: control subjects. TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance; * p < 0.05 na: not available.
Table 11. Association between plasma insulin levels, CSF AA levels, and markers of AD pathology.
Table 11. Association between plasma insulin levels, CSF AA levels, and markers of AD pathology.
VariableSpearman rPearson r
Aspartic Acid 0.19 (0.33)0.07 (0.73)
Glutamic Acid0.20 (0.30)0.09 (0.63)
Asparagine−0.16 (0.41)−0.16 (0.42)
Serine−0.24 (0.23)−0.19 (0.33)
Glutamine−0.26 (0.19)−0.24 (0.22)
Histidine−0.28 (0.15)−0.31 (0.11)
Glycine−0.19 (0.33)−0.26 (0.18)
Threonine−0.14 (0.45)−0.22 (0.26)
Citrulline−0.15 (0.44)−0.11 (0.58)
Alanine−0.11 (0.56)−0.15 (0.45)
Arginine−0.40 (0.031)−0.52 (0.004)
Tyrosine−0.02 (0.93)−0.22 (0.24)
Cysteine−0.17 (0.37)−0.22 (0.25)
Valine0.09 (0.65)−0.05 (0.79)
Methionine0.02 (0.93)−0.01 (0.96)
Tryptophan−0.08 (0.67)0.25 (0.19)
Phenylalanine−0.04 (0.83)−0.17 (0.38)
Isoleucine0.09 (0.64)−0.01 (0.94)
Leucine0.03 (0.87)−0.08 (0.67)
Lysine−0.07 (0.71)−0.22 (0.25)
Ornithine−0.24 (0.22)−0.21 (0.28)
Total AAs−0.21 (0.27)−0.27 (0.16)
EAAs−0.00 (1.00)−0.17 (0.37)
BCAAs0.07 (0.73)−0.06 (0.78)
BCAAs/TAAs0.32 (0.09)0.28 (0.14)
EAAs/TAAs0.22 (0.25)0.24 (0.21)
BCAAs/EAAs0.38 (0.045)0.26 (0.17)
Trp ratio (%)−0.33 (0.09)0.33 (0.08)
tau protein (NV < 404 pg/mL)0.19 (0.37)0.00 (1.00)
p-tau (NV < 56.5 pg/mL)0.22 (0.32)0.08 (0.72)
β-amyloid (NV > 599 pg/mL)0.28 (0.18)0.11 (0.62)
β-amyloid/tau (NV > 1.6)0.05 (0.83)0.06 (0.76)
TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: levels of significance, into the brackets.
Table 12. Association between CSF AAs and plasma AAs in AD.
Table 12. Association between CSF AAs and plasma AAs in AD.
VariableSpearman rPearson r
Aspartic Acid 0.07 (0.73)0.00 (0.99)
Glutamic Acid0.18 (0.34)0.13 (0.50)
Asparagine0.09 (0.65)0.10 (0.61)
Serine0.12 (0.53)0.22 (0.26)
Glutamine−0.37 (0.049)−0.31 (0.10)
Histidine−0.30 (0.11)−0.33 (0.08)
Glycine0.13 (0.49)0.18 (0.34)
Threonine0.14 (0.46)0.29 (0.13)
Citrulline0.09 (0.62)0.27 (0.16)
Alanine0.25 (0.18)0.21 (0.27)
Arginine0.14 (0.46)0.21 (0.27)
Tyrosine0.21 (0.26)0.24 (0.20)
Cysteinenana
Valine0.35 (0.055)0.37 (0.044)
Methioninenana
Tryptophan−0.07 (0.72)0.02 (0.92)
Phenylalanine−0.05 (0.81)−0.04 (0.82)
Isoleucine0.34 (0.067)0.46 (0.011)
Leucine0.32 (0.09)0.40 (0.027)
Lysine0.10 (0.59)0.04 (0.83)
Ornithine−0.18 (0.36)0.18 (0.36)
Total AAs−0.12 (0.53)−0.12 (0.51)
EAAs0.17 (0.36)0.10 (0.59)
BCAAs0.36 (0.054)0.40 (0.030)
BCAAs/TAAs0.49 (0.006)0.56 (0.001)
EAAs/TAAs0.40 (0.028)0.37 (0.047)
BCAAs/EAAs0.58 (0.001)0.72 (<0.0001)
Trp ratio (%)0.03 (0.90)−0.01 (0.95)
TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: levels of significance, into the brackets; na: not available.
Table 13. Association between CSF AAs and plasma AAs in controls.
Table 13. Association between CSF AAs and plasma AAs in controls.
VariableSpearman rPearson r
Aspartic Acid −0.01 (0.99)−0.13 (0.76)
Glutamic Acid−0.23 (0.59)−0.23 (0.59)
Asparagine0.45 (0.27)0.36 (0.39)
Serine0.96 (0.0007)0.80 (0.018)
Glutamine0.13 (0.76)0.41 (0.32)
Histidine−0.24 (0.58)−0.19 (0.65)
Glycine0.14 (0.75)0.56 (0.15)
Threonine0.17 (0.70)0.14 (0.75)
Citrulline0.31 (0.46)0.30 (0.47)
Alanine−0.21 (0.62)−0.00 (0.99)
Arginine0.57 (0.15)0.62 (0.10)
Tyrosine0.00 (1.00)0.15 (0.72)
Cysteinenana
Valine0.74 (0.046)0.61 (0.10)
Methioninenana
Tryptophan−0.10 (0.84)0.00 (1.00)
Phenylalanine−0.29 (0.50)−0.08 (0.86)
Isoleucine0.17 (0.70)0.01 (0.98)
Leucine0.10 (0.84)0.24 (0.57)
Lysine−0.24 (0.58)0.07 (0.88)
Ornithine0.14 (0.75)0.06 (0.90)
Total AA0.29 (0.50)0.24 (0.56)
EAAs−0.05 (0.93)0.08 (0.85)
BCAAs0.69 (0.069)0.48 (0.23)
BCAAs/TAAs0.90 (0.005)0.50 (0.21)
EAAs/TAAs0.38 (0.36)0.51 (0.20)
BCAAs/EAAs0.60 (0.13)0.32 (0.44)
Trp ratio (%)0.62 (0.11)0.53 (0.18)
TAAs: Total Amino Acids; EAAs: Essential Amino Acids; BCAAs: Branched Chain Amino Acids. Trp ratio: Tryptophan/BCAA + Phenyalalnine + Tyrosine. p: indicates the degree of statistical significance, na: not available.
Table 14. Some potential impacts on brain metabolic activities due to reduced brain AAs.
Table 14. Some potential impacts on brain metabolic activities due to reduced brain AAs.
Reduced CSF AAsEffects on Brain MetabolismEffects on Brain Activities
SerineReduced NMDA glutamate receptorReduced formation of new synapses
Reduced protein–serine kinaseReduced enzyme synthesis of neurotransmitter biosynthesis and degradation
GlycineReduced activity inhibitionContribution to synaptic and brain toxicity
AsparagineReduced stimulation of ornithine decarboxylase Reduced urea cycle activity
GlutamineReduced astrocyte detoxification of ammonia
Aβ reduced autophagy
Difficulties in maintaining synaptic transmission
Hyperammonia
Maintenance of altered mitochondria
Contribution to reducing synaptic transmission
ArginineDisruption of urea cycle
Elevated production of NO, nitrosative stress
Hyperammonia
Mitochondrial dysfunction
Degeneration of synapses and neurons
Endothelial dysfunction
Reduced synthesis of creatine
Increased energy deficit
TryptophanReduced serotonin formationReduced serotoninergic neurotransmission
Contribution to AD pathogenesis, severity, cognitive impairments
PhenylalanineReduced synthesis of dopamine, norepinephrine, epinephrine, tyramineReduced catecholaminergic neurotransmission
Impairments in behavioural and cognitive functioning
Increased perception of fatigue
BCAAsImpairment in glutamate turnover
Impairment in regulation of glutamate, glutamine, GABA
Reduced protein synthesis
Increased neurotoxicity
Unbalanced excitatory/inhibitory ratio
Reduced processes of repairing, sprouting, circuity remodelling
LysineReduced protein synthesis
Reduced autoproteolytic activity
Reduced formation of pipecolic acid
Increased catabolic activity
Reduced modulation of GABAergic transmission
ThreonineReduced protein synthesis
Reduced protein threonine kinase
Increased catabolic activity
Reduced synthesis of enzymes for neurotransmitter biosynthesis and degradation, neurotransmitter receptors and transporters, ion channels
Reduced neural plasticity
MethionineReduced methyl production (methylation) Reduced initiation of protein synthesis
Reduced protein protection (e.g. myelin)
Reduced formation of creatine, carnitine, melatonin, and polyamines, reduced metabolism of serotonin
Reduced formation of cysteine and hence glutathione formation
AlanineReduced transamination process Reduced energy generation
BCAAs = Branched Chain Amino Acids.
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Aquilani, R.; Costa, A.; Maestri, R.; Cotta Ramusino, M.; Perini, G.; Boselli, M.; Iadarola, P.; Buonocore, D.; Verri, M.; Dossena, M.; et al. Is the Brain Undernourished in Alzheimer’s Disease? Nutrients 2022, 14, 1872. https://doi.org/10.3390/nu14091872

AMA Style

Aquilani R, Costa A, Maestri R, Cotta Ramusino M, Perini G, Boselli M, Iadarola P, Buonocore D, Verri M, Dossena M, et al. Is the Brain Undernourished in Alzheimer’s Disease? Nutrients. 2022; 14(9):1872. https://doi.org/10.3390/nu14091872

Chicago/Turabian Style

Aquilani, Roberto, Alfredo Costa, Roberto Maestri, Matteo Cotta Ramusino, Giulia Perini, Mirella Boselli, Paolo Iadarola, Daniela Buonocore, Manuela Verri, Maurizia Dossena, and et al. 2022. "Is the Brain Undernourished in Alzheimer’s Disease?" Nutrients 14, no. 9: 1872. https://doi.org/10.3390/nu14091872

APA Style

Aquilani, R., Costa, A., Maestri, R., Cotta Ramusino, M., Perini, G., Boselli, M., Iadarola, P., Buonocore, D., Verri, M., Dossena, M., & Boschi, F. (2022). Is the Brain Undernourished in Alzheimer’s Disease? Nutrients, 14(9), 1872. https://doi.org/10.3390/nu14091872

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