Trust Your Gut: The Human Gut Microbiome in Health and Disease

2022 ◽  
pp. 53-96
Author(s):  
Hebatallah H. AboNahas ◽  
Amira M. G. Darwish ◽  
Hanaa F. Abd EL-kareem ◽  
Yousef H. AboNahas ◽  
Safaa A. Mansour ◽  
...  
2021 ◽  
Author(s):  
Saeed Shoaie ◽  
Sunjae Lee ◽  
Mathieu Almeida ◽  
Gholamreza Bidkhori ◽  
Nicolas Pons ◽  
...  

Abstract The role of gut microbiota in humans is of great interest, and metagenomics provided the possibilities for extensively analysing bacterial diversity in health and disease. Here we explored the human gut microbiome samples across 19 countries, performing compositional, functional and integrative analysis. To complement these data and analyse the stability of the microbiome, we followed 86 healthy Swedish individuals over one year, with four sampling times and extensive clinical phenotyping. The integrative analysis of temporal microbiome changes shows the existence of two types of species with a tendency to vary in abundance with time, here called outflow and inflow species. Importantly, the former tends to be enriched in disease, while the latter is enriched in health. We suggest that the decrease of disease-associated outflow and the increase of health-associated inflow species with time may be a fundamental albeit previously unrecognized aspect of the homeostasis maintenance in a healthy microbiome.


2021 ◽  
pp. 101-112
Author(s):  
Nazar Reehana ◽  
Mohamed Yousuff Mohamed Imran ◽  
Nooruddin Thajuddin ◽  
D. Dhanasekaran

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hilde E. Groot ◽  
Yordi J. van de Vegte ◽  
Niek Verweij ◽  
Erik Lipsic ◽  
Jacco C. Karper ◽  
...  

Abstract Small-scale studies have suggested a link between the human gut microbiome and highly prevalent diseases. However, the extent to which the human gut microbiome can be considered a determinant of disease and healthy aging remains unknown. We aimed to determine the spectrum of diseases that are linked to the human gut microbiome through the utilization of its genetic determinants as a proxy for its composition. 180 single nucleotide polymorphisms (SNPs) known to influence the human gut microbiome were used to assess the association with health and disease outcomes in 422,417 UK Biobank participants. Potential causal estimates were obtained using a Mendelian randomization (MR) approach. From the total sample analysed (mean age was 57 ± 8 years), 194,567 (46%) subjects were male. Median exposure was 66-person years (interquartile range 59–72). Eleven SNPs were significantly associated with 28 outcomes (Bonferroni corrected P value < 4.63·10−6) including food intake, hypertension, atopy, COPD, BMI, and lipids. Multiple SNP MR pointed to a possible causal link between Ruminococcus flavefaciens and hypertension, and Clostridium and platelet count. Microbiota and their metabolites might be of importance in the interplay between overlapping pathophysiological processes, although challenges remain in establishing causal relationships.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Bianca De Saedeleer ◽  
Antoine Malabirade ◽  
Javier Ramiro-Garcia ◽  
Janine Habier ◽  
Jean-Pierre Trezzi ◽  
...  

AbstractThe human gut microbiome produces a complex mixture of biomolecules that interact with human physiology and play essential roles in health and disease. Crosstalk between micro-organisms and host cells is enabled by different direct contacts, but also by the export of molecules through secretion systems and extracellular vesicles. The resulting molecular network, comprised of various biomolecular moieties, has so far eluded systematic study. Here we present a methodological framework, optimized for the extraction of the microbiome-derived, extracellular biomolecular complement, including nucleic acids, (poly)peptides, and metabolites, from flash-frozen stool samples of healthy human individuals. Our method allows simultaneous isolation of individual biomolecular fractions from the same original stool sample, followed by specialized omic analyses. The resulting multi-omics data enable coherent data integration for the systematic characterization of this molecular complex. Our results demonstrate the distinctiveness of the different extracellular biomolecular fractions, both in terms of their taxonomic and functional composition. This highlights the challenge of inferring the extracellular biomolecular complement of the gut microbiome based on single-omic data. The developed methodological framework provides the foundation for systematically investigating mechanistic links between microbiome-secreted molecules, including those that are typically vesicle-associated, and their impact on host physiology in health and disease.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Groot ◽  
Y.J Van De Vegte ◽  
N Verweij ◽  
E Lipsic ◽  
J.C Karper ◽  
...  

Abstract Background Recent small-scale studies have suggested a link between the human gut microbiome and highly prevalent diseases. However, the extent to which the human gut microbiome can be considered a determinant of disease and healthy aging has not been well established. In this study, we aimed to determine the spectrum of diseases that are linked to the human gut microbiome through the utilization of its genetic determinants as a proxy for its composition. Methods Data from 422,417 unrelated individuals of Caucasian British ancestry with available genotype and matching genetic data from the UK biobank was analysed in this study. 35 single nucleotide polymorphisms (SNPs) known to influence the human gut microbiome were used to perform the phenome-wide association study. Our main outcome was the probability (risk) of health and disease outcomes associated with human genetic determinants of the microbiome. Results From the total sample analysed (mean age was 57±8 years), 194,567 (46%) subjects were male. Median exposure was 66-person years (interquartile range 59 to 72). Seven SNPs known to influence the human gut microbiome were significantly associated with 29 health and disease outcomes (false discovery rate &lt;5%, P value &lt;9.14×10–4) including food intake, health status parameters (inflammation, blood pressure and lipid levels), hypertension, type 2 diabetes mellitus, hypercholesterolemia, heart failure, renal failure, and osteoarthritis. Conclusions Human genetic determinants of the gut microbiome are associated with 29 specific health and disease outcomes including hypertension, type 2 diabetes mellitus, hypercholesterolemia, heart failure, renal failure, and osteoarthritis. Microbiota and their metabolites play an important role in the interplay between overlapping pathophysiological processes and could be considered as potential targets for the maintenance of health and reduction of disease risk. Heat map Funding Acknowledgement Type of funding source: None


Author(s):  
Eleanor M. Townsend ◽  
Lucy Kelly ◽  
George Muscatt ◽  
Joshua D. Box ◽  
Nicole Hargraves ◽  
...  

The investigation of the microbial populations of the human body, known as the microbiome, has led to a revolutionary field of science, and understanding of its impacts on human development and health. The majority of microbiome research to date has focussed on bacteria and other kingdoms of life, such as fungi. Trailing behind these is the interrogation of the gut viruses, specifically the phageome. Bacteriophages, viruses that infect bacterial hosts, are known to dictate the dynamics and diversity of bacterial populations in a number of ecosystems. However, the phageome of the human gut, while of apparent importance, remains an area of many unknowns. In this paper we discuss the role of bacteriophages within the human gut microbiome. We examine the methods used to study bacteriophage populations, how this evolved over time and what we now understand about the phageome. We review the phageome development in infancy, and factors that may influence phage populations in adult life. The role and action of the phageome is then discussed at both a biological-level, and in the broader context of human health and disease.


2016 ◽  
Author(s):  
Aria S. Hahn ◽  
Tomer Altman ◽  
Kishori M. Konwar ◽  
Niels W. Hanson ◽  
Dongjae Kim ◽  
...  

AbstractAdvances in high-throughput sequencing are reshaping how we perceive microbial communities inhabiting the human body, with implications for therapeutic interventions. Several large-scale datasets derived from hundreds of human microbiome samples sourced from multiple studies are now publicly available. However, idiosyncratic data processing methods between studies introduce systematic differences that confound comparative analyses. To overcome these challenges, we developed GUTCYC, a compendium of environmental pathway genome databases constructed from 418 assembled human microbiome datasets using METAPATHWAYS, enabling reproducible functional metagenomic annotation. We also generated metabolic network reconstructions for each metagenome using the PATHWAY TOOLS software, empowering researchers and clinicians interested in visualizing and interpreting metabolic pathways encoded by the human gut microbiome. For the first time, GUTCYC provides consistent annotations and metabolic pathway predictions, making possible comparative community analyses between health and disease states in inflammatory bowel disease, Crohn’s disease, and type 2 diabetes. GUTCYC data products are searchable online, or may be downloaded and explored locally using METAPATHWAYS and PATHWAY TOOLS.


Metagenomics ◽  
2018 ◽  
pp. 197-213 ◽  
Author(s):  
Juan Jovel ◽  
Levinus A. Dieleman ◽  
Dina Kao ◽  
Andrew L. Mason ◽  
Eytan Wine

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