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1.
Nat Commun ; 15(1): 326, 2024 Jan 06.
Article in English | MEDLINE | ID: mdl-38182626

ABSTRACT

Fine-scale knowledge of the changes in composition and function of the human gut microbiome compared that of our closest relatives is critical for understanding the evolutionary processes underlying its developmental trajectory. To infer taxonomic and functional changes in the gut microbiome across hominids at different timescales, we perform high-resolution metagenomic-based analyzes of the fecal microbiome from over two hundred samples including diverse human populations, as well as wild-living chimpanzees, bonobos, and gorillas. We find human-associated taxa depleted within non-human apes and patterns of host-specific gut microbiota, suggesting the widespread acquisition of novel microbial clades along the evolutionary divergence of hosts. In contrast, we reveal multiple lines of evidence for a pervasive loss of diversity in human populations in correlation with a high Human Development Index, including evolutionarily conserved clades. Similarly, patterns of co-phylogeny between microbes and hosts are found to be disrupted in humans. Together with identifying individual microbial taxa and functional adaptations that correlate to host phylogeny, these findings offer insights into specific candidates playing a role in the diverging trajectories of the gut microbiome of hominids. We find that repeated horizontal gene transfer and gene loss, as well as the adaptation to transient microaerobic conditions appear to have played a role in the evolution of the human gut microbiome.


Subject(s)
Gastrointestinal Microbiome , Hominidae , Microbiota , Animals , Gastrointestinal Microbiome/genetics , Pan troglodytes , Pan paniscus
2.
J Crohns Colitis ; 15(1): 88-98, 2021 Jan 13.
Article in English | MEDLINE | ID: mdl-32687146

ABSTRACT

BACKGROUND AND AIMS: The microbial ecosystem seems to be an important player for therapeutic intervenption in inflammatory bowel disease [IBD]. We assessed longitudinal microbiome changes in IBD patients undergoing therapy with either azathioprine [AZA] or anti-tumour necrosis factor [anti-TNF] antibodies. We predicted the metabolic microbial community exchange and linked it to clinical outcome. METHODS: Faecal and blood samples were collected from 65 IBD patients at baseline and after 12 and 30 weeks on therapy. Clinical remission was defined as Crohn's Disease Activity Index [CDAI] < 150 in Crohn´s disease [CD], partial Mayo score <2 in ulcerative colitis [UC], and faecal calprotectin values <150 µg/g and C-reactive protein <5 mg/dl. 16S rRNA amplicon sequencing was performed. To predict microbial community metabolic processes, we constructed multispecies genome-scale metabolic network models. RESULTS: Paired Bray-Curtis distance between baseline and follow-up time points was significantly different for UC patients treated with anti-TNF antibodies. Longitudinal changes in taxa composition at phylum level showed a significant decrease of Proteobacteria and an increase of Bacteroidetes in CD patients responding to both therapies. At family level, Lactobacilli were associated with persistent disease and Bacteroides abundance with remission in CD. In-silico simulations of microbial metabolite exchange predicted a 1.7-fold higher butyrate production capacity of patients in remission compared with patients without remission [p = 0.041]. In this model, the difference in butyrate production between patients in remission and patients without remission was most pronounced in the CD group treated with AZA [p = 0.008]. CONCLUSIONS: In-silico simulation identifies microbial butyrate synthesis predictive of therapeutic efficacy in IBD.


Subject(s)
Azathioprine , Biosynthetic Pathways , Butyrates/metabolism , Colitis, Ulcerative , Crohn Disease , Gastrointestinal Microbiome , Tumor Necrosis Factor Inhibitors , Adult , Antimetabolites/administration & dosage , Antimetabolites/adverse effects , Azathioprine/administration & dosage , Azathioprine/adverse effects , Bacteroidetes/isolation & purification , Bacteroidetes/metabolism , Biosynthetic Pathways/drug effects , Biosynthetic Pathways/genetics , Colitis, Ulcerative/drug therapy , Colitis, Ulcerative/metabolism , Colitis, Ulcerative/microbiology , Computer Simulation , Correlation of Data , Crohn Disease/drug therapy , Crohn Disease/metabolism , Crohn Disease/microbiology , Female , Gastrointestinal Microbiome/drug effects , Gastrointestinal Microbiome/physiology , Humans , Male , Middle Aged , Proteobacteria/isolation & purification , Proteobacteria/metabolism , Remission Induction , Treatment Outcome , Tumor Necrosis Factor Inhibitors/administration & dosage , Tumor Necrosis Factor Inhibitors/adverse effects
3.
Clin Infect Dis ; 69(2): 268-277, 2019 07 02.
Article in English | MEDLINE | ID: mdl-30329017

ABSTRACT

BACKGROUND: Gut dysbiosis has been suggested as a major risk factor for the development of late-onset sepsis (LOS), a main cause of mortality and morbidity in preterm infants. We aimed to assess specific signatures of the gut microbiome, including metabolic profiles, in preterm infants <34 weeks of gestation preceding LOS. METHODS: In a single-center cohort, fecal samples from preterm infants were prospectively collected during the period of highest vulnerability for LOS (days 7, 14, and 21 of life). Following 16S rRNA gene profiling, we assessed microbial community function using microbial metabolic network modeling. Data were adjusted for gestational age and use of probiotics. RESULTS: We studied stool samples from 71 preterm infants with LOS and 164 unaffected controls (no LOS/necrotizing enterocolitis). In most cases, the bacteria isolated in diagnostic blood culture corresponded to the genera in the gut microbiome. LOS cases had a decelerated development of microbial diversity. Before onset of disease, LOS cases had specific gut microbiome signatures with higher abundance of Bacilli (specifically coagulase-negative Staphylococci) and a lack of anaerobic bacteria. In silico modeling of bacterial community metabolism suggested accumulation of the fermentation products ethanol and formic acid in LOS cases before the onset of disease. CONCLUSIONS: Intestinal dysbiosis preceding LOS is characterized by an accumulation of Bacilli and their fermentation products and a paucity of anaerobic bacteria. Early microbiome and metabolic patterns may become a valuable biomarker to guide individualized prevention strategies of LOS in highly vulnerable populations.


Subject(s)
Dysbiosis/complications , Gastrointestinal Microbiome , Infant, Premature , Metabolome , Neonatal Sepsis/pathology , Anaerobiosis , Cluster Analysis , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , DNA, Ribosomal/chemistry , DNA, Ribosomal/genetics , Feces/chemistry , Feces/microbiology , Humans , Infant , Infant, Newborn , Male , Metabolomics , Metagenomics , Phylogeny , Prospective Studies , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA
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