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Case Report

Impact of Human Milk Oligosaccharides and Probiotics on Gut Microbiome and Mood in Autism: A Case Report

1
Institute for Maternal and Child Health—IRCCS Burlo Garofolo, 65/1 Via dell’Istria, 34137 Trieste, Italy
2
Department of Gastroenterology and Endoscopy, Trieste University Hospital, Strada di Fiume 447, 34149 Trieste, Italy
3
Scuola Microbioma Torino, 10100 Torino, Italy
4
Department of Medicine, Surgery and Health Sciences, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy
*
Author to whom correspondence should be addressed.
Microorganisms 2024, 12(8), 1625; https://doi.org/10.3390/microorganisms12081625
Submission received: 22 July 2024 / Revised: 6 August 2024 / Accepted: 7 August 2024 / Published: 9 August 2024
(This article belongs to the Section Gut Microbiota)

Abstract

:
Recent evidence has highlighted the role of the gut–brain axis in the progression of autism spectrum disorder (ASD), with significant changes in the gut microbiome of individuals with this condition. This report investigates the effects of probiotics and human milk oligosaccharide (HMO) supplements on the gut microbiome, inflammatory cytokine profile, and clinical outcomes in an ASD adolescent with chronic gastrointestinal dysfunction and cognitive impairment. Following treatment, we observed a decrease in proinflammatory cytokines’ concentration alongside Sutterella relative abundance, a bacterium reported to be linked with gastrointestinal diseases. Also, we reported a notable increase in mood stability. The study aims to evaluate the use of gut microbiome-based therapy in selected ASD patients, highlighting its potential to improve related clinical symptoms.

1. Introduction

Autism spectrum disorder (ASD) is a neurological and developmental disorder that affects how people interact with others, communicate, learn, and behave, and it is manifested by impaired social communication and other repetitive behavioral patterns. ASD is caused by both genetic and environmental factors [1].
The ASD incidence rate has increased threefold in the last three decades, not only due to the advanced diagnostic methods but also because of an increase in risk factors [2]. The management costs associated with ASD are high [3] and usually extend throughout an individual’s lifetime.
Communication between the gut and the brain has been shown to affect many neurological conditions including ASD [4]. In the last few years, the research on the microbiome has gained significant importance thanks to the huge improvements in omics technologies [5]. Today, there is accumulated evidence about alterations in the gut microbiome in individuals with ASD [6,7]. For instance, research has shown elevated levels of Sutterella species in both gastrointestinal biopsies and fecal samples of children with this disorder [8]. Interestingly, a recent study revealed that Bacteroides may exert harmful effects and be responsible for some autistic behaviors in mice regardless of sex [9].
Although there is no therapy for ASD, studies showed a possibility of treating some autistic behaviors and making symptoms milder. Among the promising methods to alleviate symptoms, manipulating the gut microbiota through microbiota transplant [10,11,12] has been shown as a promising therapy for ASD.
Probiotics are living microorganisms that offer benefits to the host organism when ingested in appropriate quantities. They are thought to confer health benefits by promoting a balanced gut microbiota and supporting various physiological functions. Several studies highlighted the benefits of probiotics in the treatment of ASD. In rodent models of ASD, a probiotics combination containing Lactobacillus spp. and Bifidobacterium spp. reduced social and behavioral symptoms associated with this disorder [13]. Results of a phase Ib study of a combination containing Lactobacillus reuteri showed important improvements in behavioral and social scores for ASD patients [14].
Human milk oligosaccharides (HMOs) are the third component of human milk after lactose and lipids. More than 200 different types of HMOs have been identified so far, all derived from lactose elongated with other monosaccharides such as galactose, N-acetylglucosamine, N-acetylgalactosamine, fucose, and sialic acid [15]. Humans cannot digest HMOs, with the exception of sialylated HMOs cleaved by intestinal neuraminidase [16], and they are absorbed in only a small amount [17]. On the contrary, different microbial taxa belonging to the gut microbiota are well equipped with a broad range of enzymes for HMOs’ digestion: Bifidobacteria, and in particular Bifidobacterium bifidum, Bifidobacterium breve, and Bifidobacterium longum strains, among the first colonizers of the infant’s gut, can secrete glycosides and/or express specific transporters for HMOs’ utilization and degradation [18]. Some members of Bacteroides spp. are also able to utilize HMOs, while the growth of a broad range of pathogens, such as some strains of Enterobacteriaceae, Streptococcus spp., and others, is inhibited by different types of HMOs, as demonstrated both in in vitro and in vivo studies [17,19]. The digestion of HMOs by Bifidobacteria and Bacteroides fermentation increases the production of short chain fatty acids (SCFAs), especially acetate and butyrate, with local and systemic effects, while HMO-derived metabolites can be used as nutritional substrates by other gut bacteria during cross-feeding microbial interactions [20]. The symbiotic combinations of HMOs and probiotics were reported to exert beneficial effects in several studies [21,22,23]. HMOs support the immune system, fight infections, inhibit pathogens, promote gut health, and support cognitive development [17]. As just described, the establishment of a healthy gut microbiota is linked to HMOs. Indeed, many animal studies show that HMOs can affect brain activity and cognitive development, suggesting that dietary management of the gut microbiota may influence several diseases, including ASD [24].
In the present case report, we investigate the effect of a combined treatment with probiotics and HMO supplements in a young man (17 years old) with ASD, suffering from cognitive impairment and chronic gastrointestinal dysfunction including abdominal pain and chronic constipation. By evaluating the impact on gut microbiome composition, inflammation, and related clinical symptoms, we provide additional insights into the potential use of microbiome-based therapies.

2. Materials and Methods

2.1. Clinical Samples and Therapy

Four fecal samples were collected at 4 different time points: T0 (October 2020) represents the physiological condition of the patient before the treatment, T1 corresponds to evaluations made after 6 months of therapy, T2 corresponds to the evaluation 1 year after the end of the treatment, while T3 is the condition of the ASD individual after 2 years without the treatment.
The patient received antibiotics, precisely, Rifaximin (2 tablets three times daily for 10 days), which is used to treat conditions related to gut microbiota imbalance, potentially modulating intestinal homeostasis [25]. Antibiotic therapy was then followed by a daily intake of 12.5 billion Bifidobacterium lactis Bi-07 and 12.5 billion Lactobacillus acidophilus NCFM® (North Carolina Food Microbiology). Alongside the probiotics, supplementary therapy included 2’-FL fucosylated HMO (250 mg), with one capsule recommended daily [26,27]. The regimen also included rice extract tocopherols (1 capsule per day preferably in the morning on an empty stomach and away from antibiotic therapy) [28], monounsaturated fatty acids (oleic acid), and polyunsaturated linoleic acids (1 capsule of 250 mg twice daily), known for their antioxidant, anti-inflammatory, hypocholesterolemic [29,30], and hypotriglyceridemic properties. Additionally, sunflower oil (1 tablespoon per day), rich in vitamin E with antioxidant properties, was included, which was reported to promote intestinal health [31].
The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of Institute for Maternal and Child Health IRCCS Burlo Garofolo (protocol code 37902 dd. 12.10.2021).
Written informed consent has been obtained from the patient for all procedures and to publish this paper.

2.2. Biological Sampling Procedures, DNA Extraction, and NGS Sequencing

Upon arrival at the laboratory, the fecal samples were immediately stored at −80 °C until the moment of analysis. Total nucleic acids were extracted using the Maxwell Promega extractor with a CSC DNA Blood Kit (Promega, Madison, WI, USA), following the manufacturer’s instructions. Briefly, 100–200 mg of stool was lysed, and DNA was eluted in a final volume of 50 µL.
The bacterial composition profiling was achieved by sequencing the V3 region of the 16S rRNA gene following the library preparation procedure previously described [32]. Template preparation was carried out by the Ion OneTouch™ 2 System (Life Technologies, Gran Island, New York, NY, USA), with the Ion PGM Hi-Q View OT2 kit (Life Technologies, New York, NY, USA), and for quality control, the Qubit® 2.0 Fluorometer was used. Stool samples were sequenced with the Ion PGM™ System technology by using the Ion PGM Hi-Q View sequencing kit (Life Technologies, New York, NY, USA). For the raw data processing, the QIIME 2.0 software, version 2022.2, was used. Reads with Q ≥ 20 and a read length of 180 bp, after DADA2 denoising, were retained for the analysis. The taxonomy assignment was performed by aligning the read to Silva v138 database, with a BLAST+ consensus. Statistical analysis was performed using R (version 4.4.0).

2.3. Dosage of Immune Factors

The concentration (pg/mL) of 27 cytokines, chemokines, and growth factors was dosed in all 4 stool samples, using magnetic bead-based multiplex immunoassays (Bioplex ProTM human cytokine 27-plex panel, Bio-Rad Laboratories, Milan, Italy), according to the pre-optimized protocol [32]. Cytokines tested include FGF basic, Eotaxin, G-CSF, GM-CSF, IFN-γ, IL-1β, IL-1ra, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12 (p70), IL-13, IL-15, IL-17, IP-10, MCP-1 (MCAF), MIP-1α, MIP-1β, PDGF-BB, RANTES, TNF-α, and VEGF. The concentrations of the cytokines were acquired using the Bio-Plex-200 system (Bio-Rad Corp., Hercules, CA, USA) and Bio-Plex Manager software (v.6, Bio-Rad). The Kruskal–Wallis test was performed to test the difference of the immune factors’ concentration over time.

3. Results

3.1. Microbiota Characterization

Sequencing was performed on four stool samples from a young man diagnosed with ASD, collected at different time points. Microbial composition was analyzed to observe changes in the patient’s intestinal microbiome over time, both during and after the administration of the probiotic/HMO treatment.
Bacterial phyla detected by the analysis were studied and compared (Figure 1). The microbiome changed considerably, especially when comparing T0 with the other time points and with the reference microbiome, deduced from the scientific literature [33,34]. Figure 1 shows a substantial difference among the relative abundances of the different phyla: at T0, the ASD individual showed, compared to the reference sample, a high abundance of Pseudomonadota (66%), which decreased considerably at T1 (7%). Furthermore, at T0, the Bacillota percentage was not high (17%), but this is seen to increase after the treatment, reaching 88% at T1 and remaining around 50% at the last two analysis times.
We observed marked fluctuations in the abundance of specific bacterial genera throughout the study period. Sutterella spp., initially prominent at T0 (61%), demonstrated a drastic reduction following treatment, declining to 6% and 1% at subsequent time points (Figure 2). The analysis of the sequencing data highlighted Sutterella massiliensis as the predominant species in all the fecal samples.
Similarly, Dialister spp. exhibited a reduction from 14% at T0 to 1% at T3. In contrast, Lactobacillus spp. showed a substantial increase from T0 to T1, peaking at 84% in the latter period, before gradually declining. Bacteroides abundance fluctuated across analyses, ranging from 13% at T0 to 39% at T2 and concluding at 8% at T3 (Figure 3).

3.2. Soluble Immune Mediators

The dosage of the concentration (pg/mL) of 27 cytokines, chemokines, and growth factors showed a decline from T0 to T3, suggesting a potential modulation of immune function over time (Figure 4). All cytokines, both pro-inflammatory and anti-inflammatory ones, decreased over time. The reduction was confirmed by the Kruskal–Wallis test (p-value < 10−4, chi-squared = 21.56).
A direct relationship between each cytokine and Sutterella was observed. For example, Figure 5 describes the relationship between IL-1β, IL-2, IL-6, and Sutterella. The drop from T0 to T1 has a reduced slope compared to that which can be observed in the comparison between T1–T2 and T2–T3 (Figure 5).

3.3. Clinical and Physical Aspects

As the levels of Sutterella spp. decreased alongside the reduction in inflammatory factors, the boy achieved a complete recovery from all the symptoms of constipation. Furthermore, this positive shift in his health profile was related to a notable decrease in episodes of aggression and an increase in mood stability. In addition, he developed good behavioral social relations as confirmed by the parents. The improvement in aggressiveness and increased mood stability has been firmly reported by the parents of the young man. Unfortunately, the Aberrant Behavior Checklist (ABC) and Child Behavior Checklist (CBCL) matching the time points of the present case report were not available.

4. Discussion

The use of probiotics in intestinal dysfunction and related inflammation has been documented, and their tolerability and beneficial effect were also reported. For instance, a probiotic blend containing L. acidophilus NCFM® and B. lactis Bi-07 was used to treat the functional bowel diseases [35]. This clinical study reported by Ringel et al. [35], indeed, highlighted the safety of adopting microbiome-based therapies to improve the clinical condition of subjects characterized by gastrointestinal disorders.
In another study published in 2013 by Hsiao et al. [36], the gut–microbiome–brain connection was investigated. The results demonstrated that the restoration of gastrointestinal function through microbiota-based treatment led to improvements in communicative, stereotypic, anxiety-like, and sensorimotor behaviors in a mouse model of ASD. A further recent study demonstrated comparable outcomes following treatment with B. lactis in a mouse model [37].
Providing additional evidence, research has revealed that a probiotic formulation composed of Lactobacillus paracasei HII01, B. breve, and B. longum exhibited notable improvements in intestinal permeability, lipid profile, obesity index, and metabolic biomarkers in an elderly population [38].
ASD is associated with high levels of inflammation not only in the nerves but also in intestinal tissue. Hence, targeting inflammation pathways could be a potential strategy to alleviate ASD symptoms. Shaaban et al. [39] observed significant improvements in gastrointestinal symptoms in a cohort of autistic children aged 4–9 years following a three-month probiotic treatment regimen composed of B. longum, Lactobacillus rhamnosus, and L. acidophilus. Similar results were also obtained by other studies [40,41,42,43].
Dysbiosis of the gut microbiota can compromise intestinal barriers. The barrier impairment is reported to be implicated in several diseases, not only in gut-related disorders but also in neurodegenerative conditions like Alzheimer’s and Parkinson’s [44]. Some studies have underscored the effect of the harmful microbiota on brain function in autism and other mental disorders. For example, lipopolysaccharides (LPSs), which are the endotoxins of Gram-negative bacteria, can pass through the damaged intestinal barrier to the brain and induce a proinflammatory environment, potentially leading to pathological consequences [45,46]. Although some studies suggest that intestinal barrier dysfunction is not a consequence of autism [47,48], our results provide strong evidence to consider the link between autism and intestinal permeability.
In our report, we observed a significant decrease in cytokine concentration (Figure 4) in stool samples following HMO-probiotic therapy, an event persisting 2 years after the end of the treatment. This reduction can be explained, at least in part, by the enhanced functionality of the gastrointestinal barrier, due to the restoration of a healthy gut microbiome. An intact epithelial barrier prevents the translocation of pathogens, microbial peptides, and toxins that can trigger inflammatory responses. This restoration can be evidenced, for example, by the reduction in Sutterella levels (Figure 2), which was reported to be linked with gastrointestinal diseases for its capacity to degrade IgA [49]. The reduction in Sutterella is related to the decrease in the levels of proinflammatory cytokines like IL-1β, IL-2, and IL-6 (Figure 5).
While a previous study [50] did not highlight Sutterella as a significant contributor to microbial dysbiosis, our findings suggest that the abundance of Sutterella could be a marker for the integrity of the intestinal microbial component. Furthermore, our research indicates alterations in other bacterial genera during treatment, such as Bacteroides, which increased to around 37% by the study’s conclusion, nearing its percentage in the reference microbiome (Figure 1). These shifts may have contributed to the favorable outcomes observed following the treatment.
The novelty of the treatment involved the simultaneous intake of B. lactis Bi-07 and L. acidophilus NCFM®, together with 2’-FL fucosylated HMOs. Among benefits related to HMO functions are the development of immune system competence; the protection against infectious disease; the inhibition of pathogens’ epithelial adhesion and biofilm formation; the maturation of the intestinal barrier; the production of mucin, claudin, and occludin proteins; and cognitive development [16,17,51]. In a study conducted by Elison et al. [52], it was reported that HMO supplementation resulted in changes in the gut microbiota composition, with an increase in the relative abundance of Bifidobacteria and a reduction in Firmicutes and Proteobacteria. This effect occurred rapidly and was dose-dependent. No relevant changes in blood parameters were observed, and the supplements were well tolerated at all dosages, with minimal side effects. The results of this study suggest that dietary supplementation with HMOs is an effective method to positively modulate the composition of the intestinal microbiota, promoting the growth of beneficial bacteria, as also reported in our case report. In another study using the Stimulator of the Human Intestinal Microbial Ecosystem (SHIME®) (ProDigest-Ghent University, Ghent, Belgium), Šuligoj et al. [26] investigated the effect of HMO-derived metabolites on the gut barrier. An increase in Bifidobacteria species and in butyrate production was observed. Moreover, Šuligoj et al. showed a significant increase in the expression of claudin-8 and claudin-5 genes, and a reduction in the secretion of IL-6 for 2′-FL and the mixture 2′-FL/Lacto-N-neotetraose (LNnT) but not for LNnT alone. All together, these data support the beneficial effects of HMOs on the gut barrier and intestinal permeability which is in agreement with our findings.
Overall, our study together with those previously cited provides further support to the hypothesis that the manipulation of the gut microbiota may be beneficial in patients with gastrointestinal disorders and to related specific clinical conditions. Major positive effects on the intestinal barrier can be achieved by the combination of probiotic bacteria and HMOs, also resulting in a general improvement in the subject’s clinical condition.

5. Conclusions

In conclusion, we evaluated the effects of a combined treatment with HMOs, B. lactis Bi-07, and L. acidophilus NCFM® on the gut microbiome composition, inflammatory cytokine profile, and clinical symptoms of a 17-year-old man with ASD. Precisely, we observed a decrease in inflammatory cytokines’ concentration, such as IL-1β, IL-2, and IL-6, together with the reduction in Sutterella spp. in stool samples after the combined treatment. The implications of our results are substantial and highlight the need for continued research into microbiome-based therapies, which could pave the way for more effective approaches to the management of gastrointestinal symptoms and related disorders in ASD subjects.

Author Contributions

Conceptualization, M.C.; methodology, L.A., C.C., G.C., N.Z., F.K., F.M., A.C. and F.B. software, A.C.; formal analysis, A.C.; investigation, L.A.; resources, M.C.; data curation, M.C. and L.A.; writing—original draft preparation, L.A., F.K. and F.B.; writing—review and editing, M.C. and L.A.; supervision, M.C.; funding acquisition, M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Italian Ministry of Health, through the contribution given to the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy (Grant ID RC 20/21).

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Composition, at the phylum level (Ion PGM™ System technology), of the fecal microbiota in the ASD individual at 4 different time points, compared to a reference microbiota.
Figure 1. Composition, at the phylum level (Ion PGM™ System technology), of the fecal microbiota in the ASD individual at 4 different time points, compared to a reference microbiota.
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Figure 2. Relative abundance of Sutterella spp. over the four different time points described.
Figure 2. Relative abundance of Sutterella spp. over the four different time points described.
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Figure 3. Trend over different times of the relative abundances of bacterial genera detected by the sequencing analysis.
Figure 3. Trend over different times of the relative abundances of bacterial genera detected by the sequencing analysis.
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Figure 4. Cytokines’ variation over time (Kruskal–Wallis test|p-value < 10−4, chi-squared = 21.56). The median trend line is shown in red, and the outlier values are represented as black dots.
Figure 4. Cytokines’ variation over time (Kruskal–Wallis test|p-value < 10−4, chi-squared = 21.56). The median trend line is shown in red, and the outlier values are represented as black dots.
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Figure 5. Reduction trend of Sutterella and IL-1β, IL-2, and IL-6 over time. The relative abundance is represented on the x-axis, while on the y-axis, the concentration in pg/mL of the three cytokines is taken into consideration.
Figure 5. Reduction trend of Sutterella and IL-1β, IL-2, and IL-6 over time. The relative abundance is represented on the x-axis, while on the y-axis, the concentration in pg/mL of the three cytokines is taken into consideration.
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MDPI and ACS Style

Aldegheri, L.; Kharrat, F.; Conti, A.; Monica, F.; Busa, F.; Campisciano, G.; Zanotta, N.; Cason, C.; Comar, M. Impact of Human Milk Oligosaccharides and Probiotics on Gut Microbiome and Mood in Autism: A Case Report. Microorganisms 2024, 12, 1625. https://doi.org/10.3390/microorganisms12081625

AMA Style

Aldegheri L, Kharrat F, Conti A, Monica F, Busa F, Campisciano G, Zanotta N, Cason C, Comar M. Impact of Human Milk Oligosaccharides and Probiotics on Gut Microbiome and Mood in Autism: A Case Report. Microorganisms. 2024; 12(8):1625. https://doi.org/10.3390/microorganisms12081625

Chicago/Turabian Style

Aldegheri, Luana, Feras Kharrat, Andrea Conti, Fabio Monica, Francesca Busa, Giuseppina Campisciano, Nunzia Zanotta, Carolina Cason, and Manola Comar. 2024. "Impact of Human Milk Oligosaccharides and Probiotics on Gut Microbiome and Mood in Autism: A Case Report" Microorganisms 12, no. 8: 1625. https://doi.org/10.3390/microorganisms12081625

APA Style

Aldegheri, L., Kharrat, F., Conti, A., Monica, F., Busa, F., Campisciano, G., Zanotta, N., Cason, C., & Comar, M. (2024). Impact of Human Milk Oligosaccharides and Probiotics on Gut Microbiome and Mood in Autism: A Case Report. Microorganisms, 12(8), 1625. https://doi.org/10.3390/microorganisms12081625

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