Gut-Microbiome Composition in Response to Phenylketonuria Depends on Dietary Phenylalanine in BTBR Pahenu2 Mice

Phenylketonuria (PKU) is a metabolic disorder caused by a hepatic enzyme deficiency causing high blood and brain levels of the amino acid Phenylalanine (Phe), leading to severe cognitive and psychological deficits that can be prevented, but not completely, by dietary treatment. The behavioral outcome of PKU could be affected by the gut-microbiome-brain axis, as diet is one of the major drivers of the gut microbiome composition. Gut-microbiome alterations have been reported in treated patients with PKU, although the question remains whether this is due to PKU, the dietary treatment, or their interaction. We, therefore, examined the effects of dietary Phe restriction on gut-microbiome composition and relationships with behavioral outcome in mice. Male and female BTBR Pahenu2 mice received either a control diet (normal protein, “high” Phe), liberalized Phe-restricted (33% natural protein restriction), or severe Phe-restricted (75% natural protein restriction) diet with protein substitutes for 10 weeks (n = 14 per group). Their behavioral performance was examined in an open field test, novel and spatial object location tests, and a balance beam. Fecal samples were collected and sequenced for the bacterial 16S ribosomal RNA (rRNA) region. Results indicated that PKU on a high Phe diet reduced Shannon diversity significantly and altered the microbiome composition compared with wild-type animals. Phe-restriction prevented this loss in Shannon diversity but changed community composition even more than the high-Phe diet, depending on the severity of the restriction. Moreover, on a taxonomic level, we observed the highest number of differentially abundant genera in animals that received 75% Phe-restriction. Based on correlation analyses with differentially abundant taxa, the families Entereococacceae, Erysipelotrichaceae, Porphyromonadaceae, and the genus Alloprevotella showed interesting relationships with either plasma Phe levels and/or object memory. According to our results, these bacterial taxa could be good candidates to start examining the microbial metabolic potential and probiotic properties in the context of PKU. We conclude that PKU leads to an altered gut microbiome composition in mice, which is least severe on a liberalized Phe-restricted diet. This may suggest that the current Phe-restricted diet for PKU patients could be optimized by taking dietary effects on the microbiome into account.

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Interplay between the human gut microbiome and host metabolism

10.1101/561787 ◽

2019 ◽

Cited By ~ 1

Author(s):

Alessia Visconti ◽

Caroline I. Le Roy ◽

Fabio Rosa ◽

Niccolo Rossi ◽

Tiphaine C. Martin ◽

...

Keyword(s):

Gut Microbiome ◽

Metabolic Pathways ◽

Taxonomic Composition ◽

Metagenomic Sequencing ◽

Human Gut ◽

Metabolic Potential ◽

Microbial Ecosystem ◽

Microbiome Composition ◽

Shotgun Metagenomic Sequencing ◽

Key Species

AbstractThe human gut is inhabited by a complex and metabolically active microbial ecosystem regulating host health. While many studies have focused on the effect of individual microbial taxa, the metabolic potential of the entire gut microbial ecosystem has been largely under-explored. We characterised the gut microbiome of 1,004 twins via whole shotgun metagenomic sequencing (average 39M reads per sample). We observed greater similarity, across unrelated individuals, for functional metabolic pathways (82%) than for taxonomic composition (43%). We conducted a microbiota-wide association study linking both taxonomic information and microbial metabolic pathways with 673 blood and 713 faecal metabolites (Metabolon, Inc.). Metabolic pathways associated with 34% of blood and 95% of faecal metabolites, with over 18,000 significant associations, while species-level results identified less than 3,000 associations, suggesting that coordinated action of multiple taxa is required to affect the metabolome. Finally, we estimated that the microbiome mediated a crosstalk between 71% of faecal and 15% of blood metabolites, highlighting six key species (unclassified Subdoligranulum spp., Faecalibacterium prausnitzii, Roseburia inulinivorans, Methanobrevibacter smithii, Eubacterium rectale, and Akkermansia muciniphila). Because of the large inter-person variability in microbiome composition, our results underline the importance of studying gut microbial metabolic pathways rather than focusing purely on taxonomy to find therapeutic and diagnostic targets.

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The Reactobiome Unravels a New Paradigm in Human Gut Microbiome Metabolism

10.1101/2021.02.01.428114 ◽

2021 ◽

Author(s):

Gholamreza Bidkhori ◽

Sunjae Lee ◽

Lindsey A. Edwards ◽

Emmanuelle Le Chatelier ◽

Mathieu Almeida ◽

...

Keyword(s):

Gut Microbiome ◽

New Paradigm ◽

Human Gut ◽

Metabolic Potential ◽

Microbiome Composition ◽

Human Gut Microbiome ◽

Environmental Interactions ◽

Stratification Method ◽

One Year ◽

Computational Platform

AbstractChanges in microbial metabolism have been used as the main approach to assess function and elucidate environmental and host-microbiome interactions. This can be hampered by uncharacterised metagenome species and lack of metabolic annotation. To address this, we present a comprehensive computational platform for population stratification based on microbiome composition, the underlying metabolic potential and generation of metagenome species and community level metabolic models. We revisit the concepts of enterotype and microbiome richness introducing the reactobiome as a stratification method to unravel the metabolic features of the human gut microbiome. The reactobiome encapsulates resilience and microbiome dysbiosis at a functional level. We describe five reactotypes in healthy populations from 16 countries, with specific amino acid, carbohydrate and xenobiotic metabolic features. The validity of the approach was tested to unravel host-microbiome and environmental interactions by applying the reactobiome analysis on a one-year Swedish longitudinal cohort, integrating gut metagenomics, plasma metabolomics and clinical data.

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0473 - Crowdsourced study of ASD children and their typically developing siblings identifies key differences in gut microbiome composition using ESV analysis

10.26226/morressier.5b5199bfb1b87b000ecee271 ◽

2018 ◽

Author(s):

Maude David

Keyword(s):

Gut Microbiome ◽

Typically Developing ◽

Microbiome Composition ◽

Typically Developing Siblings

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Taxonomic signatures of cause-specific mortality risk in human gut microbiome

Nature Communications ◽

10.1038/s41467-021-22962-y ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Aaro Salosensaari ◽

Ville Laitinen ◽

Aki S. Havulinna ◽

Guillaume Meric ◽

Susan Cheng ◽

...

Keyword(s):

Mortality Risk ◽

Gut Microbiome ◽

Human Gut ◽

Cross Sectional ◽

Microbiome Composition ◽

Human Gut Microbiome ◽

Non Invasive ◽

Sequencing Technologies

AbstractThe collection of fecal material and developments in sequencing technologies have enabled standardised and non-invasive gut microbiome profiling. Microbiome composition from several large cohorts have been cross-sectionally linked to various lifestyle factors and diseases. In spite of these advances, prospective associations between microbiome composition and health have remained uncharacterised due to the lack of sufficiently large and representative population cohorts with comprehensive follow-up data. Here, we analyse the long-term association between gut microbiome variation and mortality in a well-phenotyped and representative population cohort from Finland (n = 7211). We report robust taxonomic and functional microbiome signatures related to the Enterobacteriaceae family that are associated with mortality risk during a 15-year follow-up. Our results extend previous cross-sectional studies, and help to establish the basis for examining long-term associations between human gut microbiome composition, incident outcomes, and general health status.

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Associations between gut microbiome, short chain fatty acids and blood pressure across ethnic groups: the HELIUS study

European Heart Journal ◽

10.1093/ehjci/ehaa946.2701 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

B Verhaar ◽

D Collard ◽

A Prodan ◽

J.H.M Levels ◽

A.H Zwinderman ◽

...

Keyword(s):

Blood Pressure ◽

Fatty Acids ◽

Ethnic Groups ◽

Gut Microbiome ◽

Short Chain Fatty Acids ◽

Short Chain ◽

Funding Source ◽

Microbiome Composition ◽

Helius Study ◽

Chain Fatty Acids

Abstract Background Gut microbiome composition is shaped by a combination of host genetic make-up and dietary habits. In addition, large ethnic differences exist in microbiome composition. Several studies in humans and animals have shown that differences in gut microbiota and its metabolites, including short chain fatty acids (SCFA), are associated with blood pressure (BP). We hypothesized that gut microbiome composition and its metabolites may be differently associated with BP across ethnic groups. Purpose To investigate associations of gut microbiome composition and fecal SCFA levels with BP across different ethnic groups. Methods We assessed the association between gut microbiome composition and office BP among 4672 subjects (mean age 49.8±11.7 years, 52%F) of 6 different ethnic groups participating in the HELIUS study. Gut microbiome composition was determined using 16S rRNA sequencing. Associations between microbiome composition and blood pressure were assessed using machine learning prediction models. The resulting best predictors were correlated with BP using Spearman's rank correlations. Fecal SCFA levels were measured with high-performance liquid chromatography in an age- and body mass index (BMI)-matched subgroup of 200 participants with either extreme low or high systolic BP. Differences in abundances of best predictors and fecal SCFA levels between high and low BP groups were assessed with Mann-Whitney U tests. Results Gut microbiome composition explained 4.4% of systolic BP variance. Best predictors for systolic BP included Roseburia spp. (ρ −0.15, p<0.001), Clostridium spp. (ρ −0.14, p<0.001), Romboutsia spp. (ρ −0.10, p<0.001), and Ruminococceae spp. (ρ −0.15, p<0.001) (Figure 1). Explained variance of the microbiome composition was highest in Dutch subjects (4.8%), but very low in African Surinamese, Ghanaian, and Turkish ethnic groups (ranging from 0–0.77%) Hence, we selected only participants with Dutch ethnicity for the matched subgroup. Participants with high BP had lower abundance of Roseburia hominis (p<0.01) and Roseburia spp. (p<0.05) compared to participants with low BP. However, fecal acetate (p<0.05) and propionate (p<0.01) levels were higher in participants with high BP. Conclusions In this cross-sectional study, gut microbiome composition was moderately associated with BP. Associations were strongly divergent between ethnic groups, with strongest associations in Dutch participants. Intriguingly, while Dutch participants with high BP had lower abundances of several SCFA-producing microbes, they had higher fecal SCFA levels. Intervention studies with SCFAs could provide more insight in the effects of these metabolites on BP. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): The Academic Medical Center (AMC) of Amsterdam and the Public Health Service of Amsterdam (GGD Amsterdam) provided core financial support for HELIUS. The HELIUS study is also funded by research grants of the Dutch Heart Foundation (Hartstichting; grant no. 2010T084), the Netherlands Organization for Health Research and Development (ZonMw; grant no. 200500003), the European Integration Fund (EIF; grant no. 2013EIF013) and the European Union (Seventh Framework Programme, FP-7; grant no. 278901).

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Infant gut microbiome composition is associated with non-social fear behavior in a pilot study

Nature Communications ◽

10.1038/s41467-021-23281-y ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Alexander L. Carlson ◽

Kai Xia ◽

M. Andrea Azcarate-Peril ◽

Samuel P. Rosin ◽

Jason P. Fine ◽

...

Keyword(s):

Pilot Study ◽

Gut Microbiome ◽

Brain Structures ◽

Experimental Manipulation ◽

Human Infant ◽

Microbiome Composition ◽

Social Fear ◽

Infant Gut Microbiome ◽

First Year Of Life ◽

Fear Behavior

AbstractExperimental manipulation of gut microbes in animal models alters fear behavior and relevant neurocircuitry. In humans, the first year of life is a key period for brain development, the emergence of fearfulness, and the establishment of the gut microbiome. Variation in the infant gut microbiome has previously been linked to cognitive development, but its relationship with fear behavior and neurocircuitry is unknown. In this pilot study of 34 infants, we find that 1-year gut microbiome composition (Weighted Unifrac; lower abundance of Bacteroides, increased abundance of Veillonella, Dialister, and Clostridiales) is significantly associated with increased fear behavior during a non-social fear paradigm. Infants with increased richness and reduced evenness of the 1-month microbiome also display increased non-social fear. This study indicates associations of the human infant gut microbiome with fear behavior and possible relationships with fear-related brain structures on the basis of a small cohort. As such, it represents an important step in understanding the role of the gut microbiome in the development of human fear behaviors, but requires further validation with a larger number of participants.

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Fecal Metaproteomics Reveals Reduced Gut Inflammation and Changed Microbial Metabolism Following Lifestyle-Induced Weight Loss

Biomolecules ◽

10.3390/biom11050726 ◽

2021 ◽

Vol 11 (5) ◽

pp. 726

Author(s):

Ronald Biemann ◽

Enrico Buß ◽

Dirk Benndorf ◽

Theresa Lehmann ◽

Kay Schallert ◽

...

Keyword(s):

Metabolic Syndrome ◽

Weight Loss ◽

Gut Microbiome ◽

Taxonomic Composition ◽

Low Grade ◽

Gut Inflammation ◽

Functional Changes ◽

Microbiome Composition ◽

Before And After ◽

Human Proteins

Gut microbiota-mediated inflammation promotes obesity-associated low-grade inflammation, which represents a hallmark of metabolic syndrome. To investigate if lifestyle-induced weight loss (WL) may modulate the gut microbiome composition and its interaction with the host on a functional level, we analyzed the fecal metaproteome of 33 individuals with metabolic syndrome in a longitudinal study before and after lifestyle-induced WL in a well-defined cohort. The 6-month WL intervention resulted in reduced BMI (−13.7%), improved insulin sensitivity (HOMA-IR, −46.1%), and reduced levels of circulating hsCRP (−39.9%), indicating metabolic syndrome reversal. The metaprotein spectra revealed a decrease of human proteins associated with gut inflammation. Taxonomic analysis revealed only minor changes in the bacterial composition with an increase of the families Desulfovibrionaceae, Leptospiraceae, Syntrophomonadaceae, Thermotogaceae and Verrucomicrobiaceae. Yet we detected an increased abundance of microbial metaprotein spectra that suggest an enhanced hydrolysis of complex carbohydrates. Hence, lifestyle-induced WL was associated with reduced gut inflammation and functional changes of human and microbial enzymes for carbohydrate hydrolysis while the taxonomic composition of the gut microbiome remained almost stable. The metaproteomics workflow has proven to be a suitable method for monitoring inflammatory changes in the fecal metaproteome.

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The phyllosphere microbiome of host trees contributes more than leaf phytochemicals to variation in the Agrilus planipennis Fairmaire gut microbiome structure

Scientific Reports ◽

10.1038/s41598-021-95146-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Judith Mogouong ◽

Philippe Constant ◽

Pierre Legendre ◽

Claude Guertin

Keyword(s):

Microbial Community ◽

Gut Microbiome ◽

Strong Predictor ◽

Emerald Ash Borer ◽

Agrilus Planipennis ◽

Food Sources ◽

Microbiome Composition ◽

Living Organisms ◽

Insect Gut ◽

Gut Microbial Community

AbstractThe microbiome composition of living organisms is closely linked to essential functions determining the fitness of the host for thriving and adapting to a particular ecosystem. Although multiple factors, including the developmental stage, the diet, and host-microbe coevolution have been reported to drive compositional changes in the microbiome structures, very few attempts have been made to disentangle their various contributions in a global approach. Here, we focus on the emerald ash borer (EAB), an herbivorous pest and a real threat to North American ash tree species, to explore the responses of the adult EAB gut microbiome to ash leaf properties, and to identify potential predictors of EAB microbial variations. The relative contributions of specific host plant properties, namely bacterial and fungal communities on leaves, phytochemical composition, and the geographical coordinates of the sampling sites, to the EAB gut microbial community was examined by canonical analyses. The composition of the phyllosphere microbiome appeared to be a strong predictor of the microbial community structure in EAB guts, explaining 53 and 48% of the variation in fungi and bacteria, respectively. This study suggests a potential covariation of the microorganisms associated with food sources and the insect gut microbiome.

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Interaction between Host MicroRNAs and the Gut Microbiota in Colorectal Cancer

mSystems ◽

10.1128/msystems.00205-17 ◽

2018 ◽

Vol 3 (3) ◽

Cited By ~ 35

Author(s):

Ce Yuan ◽

Michael B. Burns ◽

Subbaya Subramanian ◽

Ran Blekhman

Keyword(s):

Gene Expression ◽

Colorectal Cancer ◽

Gut Microbiota ◽

Mirna Expression ◽

Gut Microbiome ◽

Noncoding Rna ◽

Microbial Community Composition ◽

Host Cells ◽

Microbiome Composition ◽

Small Noncoding Rna

ABSTRACT Although variation in gut microbiome composition has been linked with colorectal cancer (CRC), the factors that mediate the interactions between CRC tumors and the microbiome are poorly understood. MicroRNAs (miRNAs) are known to regulate CRC progression and are associated with patient survival outcomes. In addition, recent studies suggested that host miRNAs can also regulate bacterial growth and influence the composition of the gut microbiome. Here, we investigated the association between miRNA expression and microbiome composition in human CRC tumor and normal tissues. We identified 76 miRNAs as differentially expressed (DE) in tissue from CRC tumors and normal tissue, including the known oncogenic miRNAs miR-182, miR-503, and mir-17~92 cluster. These DE miRNAs were correlated with the relative abundances of several bacterial taxa, including Firmicutes , Bacteroidetes , and Proteobacteria . Bacteria correlated with DE miRNAs were enriched with distinct predicted metabolic categories. Additionally, we found that miRNAs that correlated with CRC-associated bacteria are predicted to regulate targets that are relevant for host-microbiome interactions and highlight a possible role for miRNA-driven glycan production in the recruitment of pathogenic microbial taxa. Our work characterized a global relationship between microbial community composition and miRNA expression in human CRC tissues. IMPORTANCE Recent studies have found an association between colorectal cancer (CRC) and the gut microbiota. One potential mechanism by which the microbiota can influence host physiology is through affecting gene expression in host cells. MicroRNAs (miRNAs) are small noncoding RNA molecules that can regulate gene expression and have important roles in cancer development. Here, we investigated the link between the gut microbiota and the expression of miRNA in CRC. We found that dozens of miRNAs are differentially regulated in CRC tumors and adjacent normal colon and that these miRNAs are correlated with the abundance of microbes in the tumor microenvironment. Moreover, we found that microbes that have been previously associated with CRC are correlated with miRNAs that regulate genes related to interactions with microbes. Notably, these miRNAs likely regulate glycan production, which is important for the recruitment of pathogenic microbial taxa to the tumor. This work provides a first systems-level map of the association between microbes and host miRNAs in the context of CRC and provides targets for further experimental validation and potential interventions.

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The sugar composition of the fibre in selected plant foods modulates weaning infants’ gut microbiome composition and fermentation metabolites in vitro

Scientific Reports ◽

10.1038/s41598-021-88445-8 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Shanthi G. Parkar ◽

Jovyn K. T. Frost ◽

Doug Rosendale ◽

Halina M. Stoklosinski ◽

Carel M. H. Jobsis ◽

...

Keyword(s):

Gut Microbiome ◽

Gas Production ◽

Sugar Composition ◽

Microbiome Composition ◽

Fibre Concentration ◽

Microbiome Profile ◽

Infant Gut Microbiome ◽

Immune Health ◽

Faecal Bacteria

AbstractEight plant-based foods: oat flour and pureed apple, blackcurrant, carrot, gold- and green-fleshed kiwifruit, pumpkin, sweetcorn, were pre-digested and fermented with pooled inocula of weaning infants’ faecal bacteria in an in vitro hindgut model. Inulin and water were included as controls. The pre-digested foods were analysed for digestion-resistant fibre-derived sugar composition and standardised to the same total fibre concentration prior to fermentation. The food-microbiome interactions were then characterised by measuring microbial acid and gas metabolites, microbial glycosidase activity and determining microbiome structure. At the physiologically relevant time of 10 h of fermentation, the xyloglucan-rich apple and blackcurrant favoured a propiogenic metabolic and microbiome profile with no measurable gas production. Glucose-rich, xyloglucan-poor pumpkin caused the greatest increases in lactate and acetate (indicative of high fermentability) commensurate with increased bifidobacteria. Glucose-rich, xyloglucan-poor oats and sweetcorn, and arabinogalactan-rich carrot also increased lactate and acetate, and were more stimulatory of clostridial families, which are indicative of increased microbial diversity and gut and immune health. Inulin favoured a probiotic-driven consortium, while water supported a proteolytic microbiome. This study shows that the fibre-derived sugar composition of complementary foods may shape infant gut microbiome structure and metabolic activity, at least in vitro.

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