Anaerobes in the microbiomeDifferences in fecal microbial metabolites and microbiota of children with autism spectrum disorders
Introduction
The prevalence of Autism Spectrum Disorders (ASD) continue to increase in the world [1,2]. Genetic, environmental and biological factors play a critical role in neurodevelopment during a mother's pregnancy and immediately after birth [3,4]. The comorbidity of GI symptoms (primarily chronic constipation and/or diarrhea) in ASD is generally estimated to be 30–50%, and is poorly understood [5,6]. The significantly increased presence of GI symptoms in ASD has motivated researchers to explore gut microbial composition in children with ASD and hypothesize about their potential role in contributing to/reflecting ASD symptoms [[7], [8], [9], [10]].
Researchers have focused on whether children with ASD possess a lack of beneficial or an increase of harmful microbes in their gut. Potentially harmful Clostridium species were observed abundant in feces of children with ASD [[11], [12], [13]]. One type of beneficial bacteria, i.e., Bifidobacterium, was reduced in children with ASD [[14], [15], [16]], while another probiotic, i.e., Lactobacillus, was reported to be present in higher concentrations in children with ASD [9,16]. Using next-generation sequencing technology, microbes that might otherwise be ignored have been detected and proposed as either potentially beneficial bacteria (e.g., Prevotella) [7] or harmful bacteria (e.g., Sutterella) [17] in the context of autism. Observations on individual bacterial taxa, however, have not always been congruent between studies. For example, Desulfovibrio and Akkermansia levels in children with ASD were found to be either higher [10,14] or lower [7,15], although multiple testing corrections was not always performed [10]. In some cohorts, no difference in gut microbiota was reported between children with ASD and their neurotypical siblings [18,19], and some studies have found differences between individuals with ASD and their siblings [14], but neurotypical siblings may be different from the general neurotypical population. As previously reviewed [20], these discrepancies may be attributed to the broad spectrum of ASD manifestations, varying molecular technologies used to investigate subject samples, geographical differences between participants (which may result in genetic and/or dietary differences), potential sub-types of gut microbiota within ASD groups, small sample size and inadequate statistical control for testing multiple-hypotheses. Considering the redundant functions of microbes [21], research must expand beyond simply cataloging microbial composition and instead also investigate microbial functions and interrelated pathways, since important microbial functions may be masked when gut microbes are considered individually.
Studies conducted in humans [5,6,16] and animal models of ASD [[22], [23], [24], [25], [26]] suggest that gut microbes and their metabolites may be linked not only to GI problems but also to ASD behavior symptoms. Hsiao et al. [22] demonstrated that 4-ethylphenylsulfate (4EPS) and indolepyruvate concentrations in serum were strikingly increased in the maternal immune activation (MIA) mouse model that displays ASD symptoms and induced anxiety-like behaviors in offspring mice. Bacteroides fragilis modulated 4EPS concentrations most likely by restoring tight-junction integrity [22]. Likewise, stress-induced corticosterone levels were reduced when stressed mice were treated with Lactobacillus rhamnosus [25]. The treatment with beneficial bacteria, Lactobacillus reuteri, ameliorated deficient social behaviors in maternal high-fat diet offspring mice, and oxytocin levels were restored [24]. Oxytocin is a crucial hormone in social behavior and cognition [27], but its therapeutic effect on ASD needs more human clinical trials to draw definite conclusions [28,29].
Despite these compelling observations, studies that examine human gut microbial metabolites are rare in the context of ASD. Functional level analyses such as metagenomics, metatranscriptomics, and metabolomics should follow studies of microbial composition: metabolomics has the advantage that it can provide information about the final products of microbial functions. Metabolomics with fecal samples can provide clues on gut microbial metabolism. However, most metabolomics studies focus on urine and blood metabolites [[30], [31], [32], [33], [34], [35]]. Only a few studies have investigated fecal metabolites and attempted to correlate them with gut microbial structure in children with ASD. Wang et al. [36] observed elevated short-chain fatty acids (SCFA) and ammonia concentrations in feces of children with ASD, although De Angelis et al. [14] and Adams et al. [16] reported reduced total SCFA in children with ASD. De Angelis et al. [14] also observed altered levels of neurotransmitters-glutamate and GABA in fecal samples. Glutamate was highest in children with autism and GABA was lowest in children with Pervasive developmental disorder not otherwise specified (PDD-NOS). In addition, phenol substances including p-cresol were higher in feces of children with autism and PDD-NOS [14], but phenol and p-cresol levels were comparable between children with ASD and controls in the other cohort [36].
In this study, we received fecal samples from children with ASD and neurotypical controls, and obtained quantitative levels of 59 fecal metabolites and gut microbial profiles using 1H-NMR spectroscopy and pyrosequencing, respectively. We detected some fecal metabolites that may be present at significantly different concentrations between children with ASD and neurotypical children. We also performed correlation tests between fecal metabolite and individual bacterial phylotypes, and postulated their potential implications in the detection, etiology, and treatment of GI and ASD symptoms in children with ASD.
Section snippets
Ethics statement
The study was approved by the Institutional Review Board (IRB) at Arizona State University (ASU IRB Protocol #: 1206007979). We advertised the study by email to families with family members with ASD in Arizona, USA, and mailed the consent form to people who showed an interest in participating in the study. Once the signed consent forms were returned, we screened them for eligibility criteria and sent questionnaires and sample collection kits to participants.
Subject recruitment and sample collection
21 neurotypical children and 23
Subject characteristics
21 neurotypical children and 23 children with ASD participated in the study (Table 1). All children were between 4 and 17 years old, with a mean age (±SD) of 8.4 (±3.4) years for neurotypical children and 10.1 (±4.1) years for children with ASD (Table 1). We assessed the severity of GI symptoms using the 6 item Gastrointestinal Severity Index (6-GSI) [16], and GI symptoms were significantly more severe for children with ASD compared to controls (two-tailed Mann-Whitney U test, p < 0.005) (
Conclusion
In summary, we obtained fecal metabolite profiles in children with ASD and neurotypical children. Notably, isopropanol concentrations were significantly higher in feces of children with ASD after multiple testing corrections. Consistent with previous studies, we observed similar trends regarding higher p-cresol in feces of children with ASD, whereas concentrations of GABA were relatively lower in feces of children with ASD. We also confirmed lower gut microbial diversity in children with ASD in
Data deposition
The 16S rRNA gene sequence reads analyzed in this paper were deposited in the open-source microbiom database “Qiita” with the study ID number 11169 (https://qiita.microbio.me).
Conflicts of interest
JBA, D-WK, and RKB have pending/approved patents related to the use of fecal microbiota transplant and/or probiotics for various conditions including autism. JBA is a part-time consultant for Crestovo (a microbiome-related company).
Acknowledgements
We gratefully would like to thank all the children with ASD, neurotypical children, and their families for participating in the study. This study was financially supported by the BHARE (Brenen Hornstein Autism Research & Education) Foundation, the Emch Foundation, and Autism Research Institute. We thank Dr. Jay Park and the DNASU Genomics Core Facility at Arizona State University for bioinformatics. We also thank D. Hagner for help with study coordination. A portion of the research was
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