Next Article in Journal
Vitamin E Deficiency Disrupts Gene Expression Networks during Zebrafish Development
Previous Article in Journal
Nutritional Importance of Selected Fresh Fishes, Shrimps and Mollusks to Meet Compliance with Nutritional Guidelines of n-3 LC-PUFA Intake in Spain
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of Maternal Food Restriction on Heart Proteome in Appropriately Grown and Growth-Restricted Wistar—Rat Offspring

by
Andreas Zouridis
1,*,†,
Antigoni Manousopoulou
2,†,
Anastasios Potiris
1,
Polyxeni-Maria Sarli
1,
Leon Aravantinos
1,
Panagiota Pervanidou
3,
Efthymios Deligeoroglou
1,
Spiros D. Garbis
4,‡ and
Makarios Eleftheriades
1
1
2nd Department of Obstetrics and Gynecology—Aretaieion Hospital, National and Kapodistrian University of Athens, 11 528 Athens, Greece
2
City of Hope National Medical Center, Beckman Research Institute, Duarte, CA 91010, USA
3
Unit of Developmental and Behavioral Pediatrics—1st Department of Pediatrics, National and Kapodistrian University of Athens, 11 527 Athens, Greece
4
Faculty of Medicine, Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Current address: Proteas Bioanalytics Inc., BioLabs at The Lundquist Institute, Torrance, CA 90502, USA.
Nutrients 2021, 13(2), 466; https://doi.org/10.3390/nu13020466
Submission received: 18 December 2020 / Revised: 24 January 2021 / Accepted: 27 January 2021 / Published: 30 January 2021
(This article belongs to the Section Nutrition and Metabolism)

Abstract

:
Objective: Fetal growth restriction is associated with increased postnatal cardiovascular morbidity. The alterations in heart physiology and structure caused by in utero nutrient deprivation have not been extensively studied. We aim to investigate the impact of maternal food restriction on the cardiac proteome of newborn rats with normal (non-fetal growth-restricted (FGR)) and reduced (FGR) birth weight. Methods: On day 14 of gestation, 10 timed pregnant rats were randomized into two nutritional groups: (a) Standard laboratory diet and (b) 50% global food restriction. Pups born to food-restricted mothers were subdivided, based on birthweight, into fetal growth-restricted (FGR) and non-FGR, while pups born from normally nourished mothers were considered controls. Rat neonates were euthanized immediately after birth and the hearts of 11 randomly selected male offspring (n = 4 FGR, n = 4 non-FGR, n = 3 control group) were analyzed using quantitative proteomics. Results: In total, 7422 proteins were quantified (q < 0.05). Of these, 1175 were differentially expressed in FGR and 231 in non-FGR offspring vs. control with 151 common differentially expressed proteins (DEPs) between the two groups. Bioinformatics analysis of DEPs in FGR vs. control showed decreased integrin and apelin cardiac fibroblast signaling, decreased muscle contraction and glycolysis, and over-representation of a protein network related to embryonic development, and cell death and survival. Conclusion: Our study illustrates the distinct proteomic profile of FGR and non-FGR offspring of food-restricted dams underlying the importance of both prenatal adversities and birth weight in cardiac physiology and development.

1. Introduction

Barker’s epidemiological studies in the late-80s linked poor nutrition in early life with an increased mortality rate of ischemic heart disease [1], and showed that birth weight was inversely correlated to systolic blood pressure later in life [2]. In 1991, Hales and Barker first introduced the “Thrifty phenotype hypothesis” to explain the link between the inadequate early nutrition and the development of type 2 diabetes mellitus later in life. According to this hypothesis, the thrifty phenotype could be the outcome of “fetal programming” under unfavorable conditions, causing structural and functional alterations that help the fetus to cope with in utero adversities, predisposing however to adult morbidity [3,4].
Maternal nutrition is crucial for placental-fetal development [5]. Both experimental [6] and clinical studies [7,8] show that maternal caloric restriction results in small for gestational-age fetuses (SGA) and low-birth-weight infants (LBW). According to the current classification [9], SGA fetuses and LBW infants of undernourished mothers are considered growth-restricted (fetal growth-restricted (FGR)), as intrauterine nutrient deficiency impedes them from reaching their growth potential. Although FGR and LBW are distinct conditions, many researchers use them as synonyms to describe birthweight below the 10th or 5th percentile [9]. According to a consensus in definitions of fetal growth restriction, fetal size below the 3rd percentile (approximating 2 SD) can be used as an isolated criterion to define FGR at any gestational age [10]. The above definition has been adopted by the latest ISUOG guidelines for FGR diagnosis and management [11].
Low birthweight predisposes to ischemic heart disease [12,13,14], stroke [12,14], and atrial fibrillation [15,16]. Males’ offspring cardiovascular systems seem to be more vulnerable to an intrauterine insult compared to females [17,18]. Association between low birth weight and cardiovascular disease was initially considered secondary to obesity, diabetes mellitus, and hypertension [19]. However, the presence of cardiovascular rearrangements at growth-restricted individuals during infancy and childhood [20] suggests a direct effect of growth restriction to the cardiovascular system.
The aim of our study was to compare the global heart proteomic profile between three groups of newborn male rats: Offspring of normally nourished mothers, growth-restricted offspring of food-restricted mothers, and appropriately grown offspring of food-restricted mothers. We intend to investigate whether maternal food restriction during late gestation affects the offspring cardiac proteome irrespective of birth weight, and propose possible pathophysiological mechanisms of cardiac fetal programming.

2. Materials and Methods

2.1. Animal Model

Ten (n = 10) nulliparous timed pregnant Wistar Rats (RjHan:WI, Janvier Labs, France) [21] were housed individually in 36 × 20 × 14 cm breeding boxes. The housing conditions were standard (22–23 °C temperature, 55–65% humidity, 12 h dark-light cycle starting at 9:00) and the rats were fed a formula containing 18.5% protein (4RF21, Mucedola S.r.l., Italy). They had ad libitum access to food and water until the 14th day of gestation. On the 14th day of gestation, pregnant rats were randomly assigned to either a control (n = 4) or starved (n = 6) group. Rats of the control group had ad libitum access to food, while in the starved group, food was restricted by 50% until delivery [6]. Both groups had free access to fresh water.
Moderate food restriction between the 15th and 21st day of gestation significantly decreases birthweight in contrast with caloric manipulation in early gestation [6]. We were measuring the control group’s food intake on a daily basis. From day 15th onwards, rats belonging to the starved group were given half the amount of food that was on average consumed by the control group rats, based on measurements taken place the day before.
All rats delivered spontaneously and offspring were immediately weighted and separated from their mothers to avoid cannibalism [22] and breastfeeding. Within an hour from birth, pups were anesthetized using inhaled sevoflurane [23], and euthanized. After euthanasia, the fetal heart was removed, cleaned from blood with phosphate-buffered saline, and stored at −80 °C.
Pups born to mothers that received a standard laboratory diet throughout pregnancy were considered as controls. Offspring of the starved group with a birthweight more than two standard deviations (SD) below the mean weight of control neonates were considered as FGR (birth weight < mean birth weight of control group’s offspring −2 × SD), while the remaining pups of starved mothers were characterized as non-FGR (birth weight ≥ mean birth weight of control group’s offspring −2 × SD) [24,25,26].
Litter size, gestation duration, and growth characteristics of mothers, pups, and their organs were compared using the independent-samples t-test (IBM SPSS Statistics 22.0). Statistical significance was considered at p < 0.05.
All animal procedures were approved by the Directorate of Veterinary Services (protocol number 1211/19-03-2018) and the Ethical Committee of Aretaieion Hospital (protocol number 011/21-11-2017) and were in accordance with both EU and National legislation.

2.2. Proteomic Analysis

2.2.1. Quantitative Proteomics Sample Processing

Hearts from 11 male offspring were used for the quantitative proteomic analysis. The number of samples included in the multiplex proteomics study was dictated by the maximum channels available in the isobaric tag labelling kit [Thermo, Tandem Mass Tag (TMT) 11-plex reagents]. As we have shown before, three biological replicates per experimental group give sufficient statistical power to the multiplex proteomics study due to the genomic homogeneity of the animal model used [27]. The samples were randomly selected from each offspring group: Three from the control, four from the FGR, and four from the non-FGR group. We included three pups from the control group and four of each experimental group as we expected higher phenotypic heterogeneity in the latter.
Heart tissue frozen in liquid nitrogen was homogenized by manual grinding using a mortar and pestle. The powdered tissue was dissolved in lysis buffer (0.5 M triethylammonium bicarbonate, 0.05% sodium dodecyl sulphate) and subjected to pulsed probe sonication (Misonix, Farmingdale, NY, USA). Protein lysates were then centrifuged (4 °C, 15,000 rpm, 10 min) and supernatants were carefully transferred to fresh microcentrifuge tubes. For each sample, the protein content was measured using the BCA protein assay kit (Thermo Scientific, Waltham, MA, USA). The same amount of protein (100 μg) per sample, adjusted to the highest volume using lysis buffer, was reduced, alkylated, and enzymatically digested overnight using trypsin. The resulting peptides were labelled using the TMT reagent kit (11-isobaric tags) and subjected to two dimensional liquid chromatography and mass spectrometry (2D LC-MS) analysis as reported previously [28,29,30].

2.2.2. Database Searching

Proteome Discoverer 1.4 was used for target decoy search of the unprocessed raw data files. We searched against the UniProtKB and TrEMBL rattus norvegicus database (release date July 2018) using the following parameters: No more than two missed cleavages, minimum peptide length of six amino acids, precursor mass tolerance 10 ppm, maximum of two dynamic (one equal) modifications of: Deamination (N, Q), oxidation (M), phosphorylation (S, T, Y). TMT 6-plex (K, and peptide N-terminus) and methylthio (C) were set as static modifications. The false discovery rate (FDR) confidence of peptide identification was set at medium (over 95%). The percent co-isolation threshold that excluded peptide quantitation was set at 50. Only abundances from unique peptides were considered for the quantitation of the respective protein. TMT abundances were median-normalized to correct for different protein amounts loaded per channel.
We considered the ratios of FGR and non-FGR groups vs. controls and performed a log2transformation to normalize the distribution [29]. A one-sample t-test for FGR and non-FGR vs. control using the Benjamini, Krieger, and Yekutieli (BKY) multiple hypothesis testing correction was applied to identify differentially expressed proteins (DEPs). Significance was set at 0.05. Proteins identified with at least two unique peptides, a BKY corrected one-sample t-test p < 0.05, and a mean |log2ratio| > 0.6 (1,5-foldchange) were considered differentially expressed. All proteomics data were uploaded at the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifier PXD011407).

2.2.3. Bioinformatics Analysis

To identify direct protein interaction networks and pathways that were enriched in the DEPs, we used Ingenuity Pathway Analysis (IPA) (Qiagen, Hilden, Germany, https://www.qiagenbioinformatics.com/products/ingenuitypathway-analysis) [31]. p-Values ≤ 0.05 were considered significant.

3. Results

All pregnant rats delivered at term, between the 21st and 22nd day of gestation, with no difference in pregnancy length between the control and the starved group (20.73 ± 0.06 vs. 21.22 ± 0.47 days, p = 0.081). Control mothers gave birth to 46 pups (control group) (mean body weight 6.419 g, SD 0.436). According to the aforementioned definitions, among the pups of starved mothers, 34 were FGR (body weight < 5.547 g) and 31 non-FGR (body weight ≥ 5.527 g). There was no statistical significance in post-delivery maternal weight (268.83 ± 26.75 vs. 264.50 ± 10.47 g, p = 0.304) and litter size (10.83 ± 1.72 vs. 11.50 ± 1.29 g, p = 0.53) between starved and control group. (Table 1).
The neonatal birth weight in the starved group was significantly lower compared to the control group (5.423 ± 0.610 vs. 6.419 ± 0.436 g, p < 0.001). Male offspring were heavier than female in the control group (6.659 ± 0.324 vs. 6.2 ± 0.412 g, p < 0.001), whereas there was no statistically significant difference in the starved group (5.454 ± 0.744 vs. 5.388 ± 0.410 g, p = 0.666).
Maternal food restriction alters offspring’s heart weight at birth, with the food restricted offspring exhibiting lower values compared to controls (0.027 ± 0.006 vs. 0.035 ± 0.008 g, p < 0.001), and the effect remains when adjusting for birth weight (0.00507 ± 0.00103 vs. 0.00552 ± 0.00113 g, p = 0.043).
For non-FGR offspring, absolute heart weight was higher than FGR (0.030 ± 0.006 vs. 0.025 ± 0.005 p = 0.003), with no statistical difference in heart to body weight ratio between groups (0.00498 ± 0.00094 vs. 0.00515 ± 0,00112, p = 0.359). On the contrary, brain absolute weight was similar between FGR and non-FGR pups (0.151 ± 0.048 vs. 0.148 ± 0.043, p = 0.783), but relative brain weight was significantly higher for FGR compared to non-FGR offspring (0.03157 ± 0.01093 vs. 0.24956 ± 0.00698, p = 0.009).
The proteomic analysis of male neonatal hearts resulted in the identification of 9412 proteins (peptide level FDR < 0.05), 7422 of which were quantified (Supplementary Table S1). Principal component analysis (PCA) of all quantified proteins demonstrated that hearts of FGR neonates had a distinct and more heterogeneous proteomic profile compared to non-FGR (Figure 1a).
Among the quantified proteins, 5845 were identified with at least two unique peptides. Of these, 579 were up- and 596 proteins were down-regulated in the FGR vs. control group (Supplementary Table S2), whereas 120 were up- and 111 downregulated in the non-FGR compared to control group (Supplementary Table S3). Ninety up- and 61 downregulated proteins were common in both FGR and non-FGR groups vs. control (Figure 1b) (Supplementary Table S4). Figure 1c is a heatmap of the top-50 differentially expressed proteins in the hearts of both FGR and non-FGR neonates vs. control.
Ingenuity Pathway Analysis (IPA) of differentially expressed proteins (DEPs) in FGR compared to control showed inhibition of the integrin signaling (p = 1.7 × 10−8; z = −2.2) (Figure 2a) and apelin cardiac fibroblast signaling canonical pathways (p = 5.1 × 10−4; z = −2.5) (Figure 2b). Furthermore, IPA predicted a significant decrease in glycolysis (p = 1.6 × 10−5; z = −2.1) (Figure 3a) and muscle contraction (p = 8.8 × 10−12; z = −2.5) (Figure 3b) in the hearts of FGR neonates vs. control. Finally, a protein network related to carbohydrate metabolism, cell death and survival and embryonic development was over-represented in the DEPs of FGR vs. control pups (Score = 47, n = 33 proteins) (Figure 4).

4. Discussion

The analysis of the weights of offspring tissues showed that both heart and liver weight were reduced in proportion to body weight in FGR compared to non-FGR pups. On the contrary, brain weight did not differ significantly between the two groups (Table 1). That disproportion in growth restriction with the relative preservation of brain growth is characteristic of late, or asymmetrical, FGR where the intrauterine insult happens in late pregnancy [11] (food restriction between the 15th and 21st day of gestation in our model).
Our study is the first one to report the proteomic profiling of hearts in FGR and non-FGR Wistar rat offspring exposed to intrauterine caloric restriction. Maternal undernutrition has been previously shown to differentially affect the metabolic profile [24], body composition [25], and brain proteome [26] of FGR and non-FGR neonates. As indicated by principal compartment analysis, the proteomic profile of FGR and non-FGR hearts is distinguishable, which indicates that maternal food restriction has a different impact in the hearts of neonates with low compared to normal birthweight.
In silico analysis of DEPs in the FGR group revealed reduced integrin and apelin signaling, reduced heart muscle contractility, and reduced glycolysis in fetal hearts compared to the control group, suggestive of unique cardiac adaptations in FGR hearts.
Integrins are transmembrane receptors mediating communication between cardiomyocytes and extracellular matrix, crucial for cardiac development and the response to cardiac disease [32]. The disrupted integrin signaling proposed by IPA in FGR compared to control rats (p = 1.7 × 10−8; z = −2.2) can be part of the FGR heart pathophysiology. Decreased integrin signaling in FGR neonates can lead to a progressive decrease in postnatal cardiac function [33], partly explaining the origins of persistent subclinical myocardial dysfunction in FGR offspring. In addition, given the crucial role of integrin signaling in myocardial maturation, we can postulate that disruption of that signaling can lead to the immature myocardial phenotype observed in FGR offspring [34].
The apelin/apelin receptor system plays an important role in cardiovascular function, and apelin therapy has beneficial effects in cardiovascular disease [35]. The increased myocardial interstitial fibrosis reported at birth in some animal models of maternal nutrient deprivation [36] can be explained through the reduced apelin fibroblast signaling indicated by our model, as apelin stimulation prevents cardiac fibrosis [37]. In addition, the altered apelin signaling may contribute to the pathophysiology of cardiac remodeling [37] in FGR offspring.
The decrease in myocardial contractility in FGR, but not in non-FGR infants, is consistent with ultrasonographic findings in growth-restricted fetuses and neonates, suggesting subclinical systolic dysfunction [19]. Reduced cardiomyocyte contractility can be attributed to cardiac remodeling, including sarcomere shortening in FGR offspring [20].
Our results suggest that glycolysis is significantly reduced in hearts of FGR infants compared to controls. Experimental studies have shown that placental insufficiency leads to reduced myocardial glucose uptake capacity by the reduction in glucose transporter 1 and 2 expression in FGR offspring [38]. Glucose is the main source of energy in fetal cardiomyocytes, but as the heart matures, metabolism moves toward fatty acids oxidation. However, under stress, heart metabolism moves toward the more energy-efficient glucose again [39].
Glycolysis inhibition may mediate the vulnerability of FGR to heart disease, as it does not allow cardiomyocytes to shift toward glucose consumption in response to stress. This theory is supported by experimental data in rats suggesting that glycolysis inhibition is accompanied by hypertrophy, fibrosis, reduced contractility diastolic dysfunction [40], and predisposition to atrial fibrillation [41].
In our study, maternal food restriction led to reduced heart weight in FGR male offspring. The decrease in FGR heart weight reflects a reduction in total cardiomyocyte number [42], as indicated by previous research. Forty-seven DEPs in our male FGR rat neonates participate in an interesting protein network related to cellular death, survival, and embryonic development. These protein networks could suggest reduced cardiomyocyte number, which make FGR hearts more vulnerable to disease in adulthood, when the cardiomyocyte proliferation potential is limited.
Interestingly, bioinformatics analysis of DEPs in hearts from non-FGR neonates did not reveal any similar alterations in biological functions or protein interaction networks as for the hearts of the FGR pups. It could be assumed that maternal food intake impacts the proteome of neonatal hearts, producing different phenotypes based on birth weight. Maternal food restriction results in unique proteome alterations in FGR hearts, a small subset of common alterations in both FGR and non-FGR hearts, and subtle and less clinically significant alterations in non-FGR hearts.
In conclusion, this study reports the distinct proteomic profile of FGR and non-FGR offspring of food-restricted dams, underlying the importance of both prenatal environment and birth weight in heart physiology and development. Bioinformatics analysis of DEPs in FGR and non-FGR neonates revealed four unique possible pathways of cardiac remodeling in FGR offspring including contractility, apelin and integrin signaling alterations, and glucose metabolism alterations.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/13/2/466/s1, Table S1: All quantified proteins (peptide level FDR < 0.05), Table S2: DEPs in FGR vs. control (q < 0.05), Table S3: DEPs in non-FGR vs. control (q < 0.05), Table S4: DEPs in hearts of both FGR and non-FGR vs. control (q < 0.05).

Author Contributions

Conceptualization, M.E.; formal analysis, A.Z., A.M., A.P. and P.-M.S.; funding acquisition, A.Z. and E.D.; investigation, A.Z., A.M., A.P., P.-M.S. and M.E.; methodology, A.Z., A.M., S.D.G. and M.E.; project administration, M.E.; resources, E.D. and S.D.G.; supervision, L.A., P.P., S.D.G. and M.E.; visualization, A.Z. and A.M.; writing—original draft, A.Z. and A.M.; writing—review and editing, L.A., P.P., S.D.G. and M.E. All authors have read and agreed to the published version of the manuscript.

Funding

This scientific paper was supported by the Onassis Foundation—Scholarship ID: GZO 007-1/2018-2019.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Directorate of Veterinary Services (protocol number 1211/19-03-2018) and the Ethical Committee of Aretaieion Hospital (protocol number 011/21-11-2017).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available within the article. All proteomics data are uploaded at the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifier PXD011407).

Conflicts of Interest

Spiros D. Garbis, PhD is Founder, President and CEO of Proteas Bioanalytics Inc., BioLabs at the Lundquist Institute, 1124 West Carson Street, MRL Building, 3rd Floor, Torrance, CA 90502.

References

  1. Barker, D. Infant mortality, childhood nutrition, and ischaemic heart disease in england and wales. Lancet 1986, 327, 1077–1081. [Google Scholar] [CrossRef]
  2. Barker, D.J.; Osmond, C.; Golding, J.; Kuh, D.; Wadsworth, M.E. Growth in utero, blood pressure in childhood and adult life, and mortality from cardiovascular disease. BMJ 1989, 298, 564–567. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Barker, D. The fetal and infant origins of adult disease the womb may be more important than the home. BMJ 1990, 301, 1111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kwon, E.J.; Kim, Y.J. What is fetal programming? A lifetime health is under the control of in utero health. Obstet. Gynecol. Sci. 2017, 60, 506–519. [Google Scholar] [CrossRef] [PubMed]
  5. Belkacemi, L.; Nelson, D.M.; Desai, M.; Ross, M.G. Maternal Undernutrition Influences Placental-Fetal Development. Biol. Reprod. 2010, 83, 325–331. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Vuguin, P.M. Animal models for small for gestational age and fetal programming of adult disease. Horm. Res. 2007, 68, 113–123. [Google Scholar] [CrossRef] [Green Version]
  7. Stein, Z.; Susser, M. The Dutch Famine, 1944-1945, and the Reproductive Process. II. Interrelations of Caloric Rations and Six Indices at Birth. Pediatr. Res. 1975, 9, 76–83. [Google Scholar] [CrossRef]
  8. Pasternak, Y.; Weintraub, A.Y.; Shoham-Vardi, I.; Sergienko, R.; Guez, J.; Wiznitzer, A.; Shalev, H.; Sheiner, E. Obstetric and Perinatal Outcomes in Women with Eating Disorders. J. Womens Health 2012, 21, 61–65. [Google Scholar] [CrossRef]
  9. Royal College of Obstetricians and Gynaecologists. Green-Top Guideline 31: The Investigation and Manangement of the Small-for-Gestational-Age Fetus. Available online: https://www.rcog.org.uk/globalassets/documents/guidelines/gtg_31.pdf (accessed on 5 October 2020).
  10. Gordijn, S.J.; Beune, I.M.; Thilaganathan, B.; Papageorghiou, A.; Baschat, A.A.; Baker, P.N.; Silver, R.M.; Wynia, K.; Ganzevoort, W. Consensus definition of fetal growth restriction: A Delphi procedure. Ultrasound Obstet. Gynecol. 2016, 48, 333–339. [Google Scholar] [CrossRef]
  11. Lees, C.C.; Lees, C.; Baschat, A.A.; Costa, F.D.S.; Ferrazzi, E.M.; Figueras, F.; Hecher, K.; Kingdom, J.; Poon, L.; Salomon, L.J.; et al. ISUOG Practice Guidelines: Diagnosis and management of small-for-gestational-age fetus and fetal growth restriction. Ultrasound Obstet. Gynecol. 2020, 56, 298–312. [Google Scholar] [CrossRef]
  12. Rich-Edwards, J.W.; Stampfer, M.J.; Manson, E.J.; Rosner, B.; Hankinson, E.S.; Colditz, A.G.; Hennekens, C.H.; Willet, W.C. Birth weight and risk of cardiovascular disease in a cohort of women followed up since. BMJ 1997, 315, 396–400. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Leon, D.A.; Lithell, O.H.; Vågerö, D.; Koupilová, I.; Mohsen, R.; Berglund, L.; Lithell, U.-B.; McKeigue, P.M. Reduced fetal growth rate and increased risk of death from ischaemic heart disease: Cohort study of 15 000 Swedish men and women born 1915–1929. BMJ 1998, 317, 241–245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Lawlor, D.A.; Ronalds, G.; Clark, H.; Smith, G.D.; Leon, D.A. Birth Weight Is Inversely Associated With Incident Coronary Heart Disease and Stroke among Individuals Born in the 1950s. Circulation 2005, 112, 1414–1418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lawani, O.S.; Demerath, E.W.; Norby, F.L.; Soliman, E.Z.; Huxley, R.R.; Rose, K.M.; Alonso, A. Birth weight and the risk of atrial fibrillation in whites and African Americans: The Atherosclerosis Risk In Communities (ARIC) study. BMC Cardiovasc. Disord. 2014, 14, 69. [Google Scholar] [CrossRef] [Green Version]
  16. Larsson, S.C.; Drca, N.; Jensen-Urstad, M.; Wolk, A. Incidence of atrial fibrillation in relation to birth weight and preterm birth. Int. J. Cardiol. 2015, 178, 149–152. [Google Scholar] [CrossRef]
  17. Tekola-Ayele, F.; Workalemahu, T.; Gorfu, G.; Shrestha, D.; Tycko, B.; Wapner, R.; Zhang, C.; Louis, G.M.B. Sex differences in the associations of placental epigenetic aging with fetal growth. Aging 2019, 11, 5412–5432. [Google Scholar] [CrossRef]
  18. Davis, G.K.; Newsome, A.D.; Ojeda, N.B.; Alexander, B.T. Effects of Intrauterine Growth Restriction and Female Sex on Future Blood Pressure and Cardiovascular Disease. Curr. Hypertens. Rep. 2017, 19, 13. [Google Scholar] [CrossRef] [Green Version]
  19. Crispi, F.; Miranda, J.; Gratacós, E. Long-term cardiovascular consequences of fetal growth restriction: Biology, clinical implications, and opportunities for prevention of adult disease. Am. J. Obstet. Gynecol. 2018, 218, S869–S879. [Google Scholar] [CrossRef] [Green Version]
  20. Cohen, E.; Wong, F.; Horne, R.S.; Yiallourou, S.R. Intrauterine growth restriction: Impact on cardiovascular development and function throughout infancy. Pediatr. Res. 2016, 79, 821–830. [Google Scholar] [CrossRef] [Green Version]
  21. Swanson, A.; David, A.L. Animal models of fetal growth restriction: Considerations for translational medicine. Placenta 2015, 36, 623–630. [Google Scholar] [CrossRef] [Green Version]
  22. Lane-Petter, W. Cannibalism in rats and mice. Proc. R. Soc. Med. 1968, 61, 1295–1296. [Google Scholar] [PubMed]
  23. Huss, M.K.; Chum, H.H.; Chang, A.G.; Jampachairsi, K.; Pacharinsak, C. The Physiologic Effects of Isoflurane, Sevoflurane, and Hypothermia Used for Anesthesia in Neonatal Rats (Rattus norvegicus). J. Am. Assoc. Lab. Anim. Sci. 2016, 55, 83–88. [Google Scholar] [PubMed]
  24. Eleftheriades, M.; Pervanidou, P.; Vafaei, H.; Vaggos, G.; Dontas, A.I.; Skenderi, K.; Sebire, N.J.; Nicolaides, K. Metabolic profiles of adult Wistar rats in relation to prenatal and postnatal nutritional manipulation: The role of birthweight. Hormones 2014, 13, 268–279. [Google Scholar] [CrossRef] [PubMed]
  25. Eleftheriades, M.; Vafaei, H.; Dontas, A.I.; Vaggos, G.; Marinou, K.; Pervanidou, P.; Sebire, N.J.; Chrousos, G.P.; Nicolaides, K.H. Assessment of body composition in Wistar rat offspring by DXA in relation to prenatal and postnatal nutritional manipulation. Pediatr. Res. 2016, 80, 319–325. [Google Scholar] [CrossRef]
  26. Aravidou, E.; Eleftheriades, M.; Malamitsi-Puchner, A.; Anagnostopoulos, A.K.; Aravantinos, L.; Dontas, A.I.; Aravidis, C.; Creatsas, G.; Tsangaris, G.; Chrousos, G.P. Protein expression in the brain of rat offspring in relation to prenatal caloric restriction. J. Matern. Neonatal Med. 2015, 29, 1–8. [Google Scholar] [CrossRef]
  27. Billiard, F.; Karaliota, S.; Wang, B.; Stellas, D.; Serafimidis, I.; Manousopoulou, A.; Koutmani, Y.; Ninou, E.; Golubov, J.; DaNave, A.; et al. Delta-like Ligand-4-Notch Signaling Inhibition Regulates Pancreatic Islet Function and Insulin Secretion. Cell Rep. 2018, 22, 895–904. [Google Scholar] [CrossRef] [Green Version]
  28. Morianos, I.; Trochoutsou, A.I.; Papadopoulou, G.; Semitekolou, M.; Banos, A.; Konstantopoulos, D.; Manousopoulou, A.; Kapasa, M.; Wei, P.; Lomenick, B.; et al. Activin-A limits Th17 pathogenicity and autoimmune neuroinflammation via CD39 and CD73 ectonucleotidases and Hif1-α–dependent pathways. Proc. Natl. Acad. Sci. USA 2020, 117, 12269–12280. [Google Scholar] [CrossRef]
  29. Manousopoulou, A.; Hayden, A.; Mellone, M.; Garay-Baquero, D.J.; White, C.H.; Noble, F.; Lopez, M.; Thomas, G.J.; Underwood, T.J.; Garbis, S.D. Quantitative proteomic profiling of primary cancer-associated fibroblasts in oesophageal adenocarcinoma. Br. J. Cancer 2018, 118, 1200–1207. [Google Scholar] [CrossRef] [Green Version]
  30. Manousopoulou, A.; Koutmani, Y.; Karaliota, S.; Woelk, C.H.; Manolakos, E.S.; Karalis, K.; Garbis, S.D. Hypothalamus proteomics from mouse models with obesity and anorexia reveals therapeutic targets of appetite regulation. Nutr. Diabetes 2016, 6, e204. [Google Scholar] [CrossRef] [Green Version]
  31. Krämer, A.; Green, J.; Pollard, J.; Tugendreich, S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics 2014, 30, 523–530. [Google Scholar] [CrossRef]
  32. Ross, R.S.; Borg, T.K. Integrins and the Myocardium. Circ. Res. 2001, 88, 1112–1119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Shai, S.-Y.; Harpf, A.E.; Babbitt, C.J.; Jordan, M.C.; Fishbein, M.C.; Chen, J.; Omura, M.; Leil, T.A.; Becker, K.D.; Jiang, M.; et al. Cardiac Myocyte-Specific Excision of the β1 Integrin Gene Results in Myocardial Fibrosis and Cardiac Failure. Circ. Res. 2002, 90, 458–464. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Masoumy, E.P.; Sawyer, A.A.; Sharma, S.; Patel, J.A.; Gordon, P.M.K.; Regnault, T.R.H.; Matushewski, B.; Weintraub, N.L.; Richardson, B.; Thompson, J.A.; et al. The lifelong impact of fetal growth restriction on cardiac development. Pediatr. Res. 2018, 84, 537–544. [Google Scholar] [CrossRef] [PubMed]
  35. Zhong, J.-C.; Zhang, Z.-Z.; Wang, W.; McKinnie, S.M.K.; Vederas, J.C.; Oudit, G.Y. Targeting the apelin pathway as a novel therapeutic approach for cardiovascular diseases. Biochim. Biophys. Acta (BBA) Mol. Basis Dis. 2017, 1863, 1942–1950. [Google Scholar] [CrossRef] [PubMed]
  36. Lim, K.; Zimanyi, M.; Black, M.J. Effect of Maternal Protein Restriction in Rats on Cardiac Fibrosis and Capillarization in Adulthood. Pediatr. Res. 2006, 60, 83–87. [Google Scholar] [CrossRef] [Green Version]
  37. Folino, A.; Montarolo, P.G.; Samaja, M.; Raffaella, R. Effects of apelin on the cardiovascular system. Heart Fail. Rev. 2015, 20, 505–518. [Google Scholar] [CrossRef] [Green Version]
  38. Tsirka, A.; Gruetzmacher, E.; Kelley, D.; Ritov, V.; Devaskar, S.; Lane, R.H. Myocardial gene expression of glucose transporter 1 and glucose transporter 4 in response to uteroplacental insufficiency in the rat. J. Endocrinol. 2001, 169, 373–380. [Google Scholar] [CrossRef] [Green Version]
  39. Lopaschuk, G.D.; Jaswal, J.S. Energy Metabolic phenotype of the cardiomyocyte during development, differentiation, and postnatal maturation. J. Cardiovasc. Pharmacol. 2010, 56, 130–140. [Google Scholar] [CrossRef]
  40. Donthi, R.V.; Ye, G.; Wu, C.; McClain, D.A.; Lange, A.J.; Epstein, P.N. Cardiac expression of kinase-deficient 6-Phosphofructo-2-kinase/Fructose-2,6-bisphosphatase inhibits glycolysis, promotes hypertrophy, impairs myocyte function, and reduces insulin sensitivity. J. Biol. Chem. 2004, 279, 48085–48090. [Google Scholar] [CrossRef] [Green Version]
  41. Kourliouros, A.; Yin, X.; Didangelos, A.; Hosseini, M.T.; Valencia, O.; Mayr, M.; Jahangiri, M. Substrate modifications precede the development of atrial fibrillation after cardiac surgery: A proteomic study. Ann. Thorac. Surg. 2011, 92, 104–110. [Google Scholar] [CrossRef]
  42. Corstius, H.B.; Zimanyi, M.; Maka, N.; Herath, T.; Thomas, W.G.; Van Der Laarse, A.; Wreford, N.G.; Black, M.J. Effect of intrauterine growth restriction on the number of cardiomyocytes in rat hearts. Pediatr. Res. 2005, 57, 796–800. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. (a) Principal component analysis (PCA) of all quantified proteins demonstrated that hearts of fetal growth-restricted (FGR) neonates had a distinct and more heterogeneous proteomic profile compared to non-FGR ones. (b) Venn diagram showing overlap of differentially expressed proteins compared to controls in FGR and non-FGR groups. (c) Heatmap of top-50 common differentially expressed proteins in both FGR and non-FGR groups vs. control.
Figure 1. (a) Principal component analysis (PCA) of all quantified proteins demonstrated that hearts of fetal growth-restricted (FGR) neonates had a distinct and more heterogeneous proteomic profile compared to non-FGR ones. (b) Venn diagram showing overlap of differentially expressed proteins compared to controls in FGR and non-FGR groups. (c) Heatmap of top-50 common differentially expressed proteins in both FGR and non-FGR groups vs. control.
Nutrients 13 00466 g001
Figure 2. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed (a) decreased integrin signaling and (b) decreased apelin cardiac fibroblast signaling pathway.
Figure 2. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed (a) decreased integrin signaling and (b) decreased apelin cardiac fibroblast signaling pathway.
Nutrients 13 00466 g002
Figure 3. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed (a) decreased glycolysis and (b) decreased muscle contraction.
Figure 3. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed (a) decreased glycolysis and (b) decreased muscle contraction.
Nutrients 13 00466 g003
Figure 4. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed over-representation of a protein network related to carbohydrate metabolism, cell death and survival, and embryonic development.
Figure 4. Ingenuity Pathway Analysis of differentially expressed proteins in FGR compared to control showed over-representation of a protein network related to carbohydrate metabolism, cell death and survival, and embryonic development.
Nutrients 13 00466 g004
Table 1. Experimental data.
Table 1. Experimental data.
GroupMeanSDp-Value
Length of gestation (days)Starved21.220.470.081
Control20.730.06
Litter size (pups)Starved10.831.720.530
Control11.501.29
Post- delivery maternal weight (g)Starved268.8326.750.304
Control264.5010.47
Birth weight (g)Starved5.4230.610<0.001
Control6.4190.436
Heart weight (g)Starved0.0270.006<0.001
Control0.0350.008
FGR0.0250.0050.003
Non-FGR0.0300.006
Heart to body weight ratioStarved0.005070.001030.043
Control0.005520.00113
FGR0.005150.001120.359
Non-FGR0.004980.00094
Brain weight (g)Starved0.1500.0450.001
Control0.1800.044
FGR0.1510.0580.783
Non-FGR0.1480.043
Brain to body weight ratioStarved0.028260.009680.905
Control0.028060.00598
FGR0.031570.010930.009
Non-FGR0.024960.00698
Liver weight (g)Starved0.2450.0700.117
Control0.2660.057
FGR0.2110.047<0.001
Non-FGR0.2800.073
Liver to body weight ratioStarved0.044980.010260.112
Control0.417530.00946
FGR0.042740.007430.103
Non-FGR0.047210.01220
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zouridis, A.; Manousopoulou, A.; Potiris, A.; Sarli, P.-M.; Aravantinos, L.; Pervanidou, P.; Deligeoroglou, E.; Garbis, S.D.; Eleftheriades, M. Impact of Maternal Food Restriction on Heart Proteome in Appropriately Grown and Growth-Restricted Wistar—Rat Offspring. Nutrients 2021, 13, 466. https://doi.org/10.3390/nu13020466

AMA Style

Zouridis A, Manousopoulou A, Potiris A, Sarli P-M, Aravantinos L, Pervanidou P, Deligeoroglou E, Garbis SD, Eleftheriades M. Impact of Maternal Food Restriction on Heart Proteome in Appropriately Grown and Growth-Restricted Wistar—Rat Offspring. Nutrients. 2021; 13(2):466. https://doi.org/10.3390/nu13020466

Chicago/Turabian Style

Zouridis, Andreas, Antigoni Manousopoulou, Anastasios Potiris, Polyxeni-Maria Sarli, Leon Aravantinos, Panagiota Pervanidou, Efthymios Deligeoroglou, Spiros D. Garbis, and Makarios Eleftheriades. 2021. "Impact of Maternal Food Restriction on Heart Proteome in Appropriately Grown and Growth-Restricted Wistar—Rat Offspring" Nutrients 13, no. 2: 466. https://doi.org/10.3390/nu13020466

APA Style

Zouridis, A., Manousopoulou, A., Potiris, A., Sarli, P. -M., Aravantinos, L., Pervanidou, P., Deligeoroglou, E., Garbis, S. D., & Eleftheriades, M. (2021). Impact of Maternal Food Restriction on Heart Proteome in Appropriately Grown and Growth-Restricted Wistar—Rat Offspring. Nutrients, 13(2), 466. https://doi.org/10.3390/nu13020466

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop