Mechanistic links between gut microbial community dynamics, microbial functions and metabolic health
Open accessAbstract
Gut microbes comprise a high density, biologically active community that lies at the interface of an animal with its nutritional environment. Consequently their activity profoundly influences many aspects of the physiology and metabolism of the host animal. A range of microbial structural components and metabolites directly interact with host intestinal cells and tissues to influence nutrient uptake and epithelial health. Endocrine, neuronal and lymphoid cells in the gut also integrate signals from these microbial factors to influence systemic responses. Dysregulation of these host-microbe interactions is now recognised as a major risk factor in the development of metabolic dysfunction. This is a two-way process and understanding the factors that tip host-microbiome homeostasis over to dysbiosis requires greater appreciation of the host feedbacks that contribute to regulation of microbial community composition. To date, numerous studies have employed taxonomic profiling approaches to explore the links between microbial composition and host outcomes (especially obesity and its comorbidities), but inconsistent host-microbe associations have been reported. Available data indicates multiple factors have contributed to discrepancies between studies. These include the high level of functional redundancy in host-microbiome interactions combined with individual variation in microbiome composition; differences in study design, diet composition and host system between studies; and inherent limitations to the resolution of rRNA-based community profiling. Accounting for these factors allows for recognition of the common microbial and host factors driving community composition and development of dysbiosis on high fat diets. New therapeutic intervention options are now emerging.
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Increasing culture-independent omic-based technologies have facilitated the discovery of novel functional dynamics of microbiota and their relationship with host pathophysiology.
“Increasing culture-independent omic-based technologies such as biomarker sequencing, metagenomics, metatranscriptomics, metaproteomics, and metabolomics have facilitated the discovery of novel functional dynamics of microbiota2, 3, 4, 5 and their relationship with host pathophysiology.6, 7, 8, 9”
From Regulation of Intestinal Barrier Function by Microbial Metabolites (2021) · cites this paper as [7]
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References 166 · Cited by 137
Research works printed but not linked: 1
- Warren YA, Citron DM, Merriam CV, Goldstein EJ. Bio- chemical differentiation and comparison of Desulfovibrio species and other phenotypically similar genera. J Clin Mi- crobiol 2005; 43: 4041-4045 [PMID: 16081948 DOI: 10.1128/ jcm.43.8.4041-4045.2005] 163 · DOI
- Authors
- Ha, C. W.
- Affiliations
- The University of Sydney (AU)
- Corresponding author
- Ha, Connie WY
- ORCID
- Ha, Connie WY
- Venue
- World Journal of Gastroenterology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2014
- Volume
- 20
- Issue
- 44
- Pages
- 16498
- ISSN
- 1007-9327 (ISSN-L)
- PMC
- PMC4248193
- OpenAlex
- W2038334842
- Cited by
- 137
- References
- 166
- Citations by year
- 2026: 16 · 2025: 11 · 2024: 15 · 2023: 9 · 2022: 7 · 2021: 11 · 2020: 9 · 2019: 7 · 2018: 15 · 2017: 21 · 2016: 14 · 2015: 2
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- World Journal of Gastroenterology (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- gut microbiota, host-microbiome interactions, dysbiosis, metabolic health, obesity, high-fat diet, microbial community dynamics, microbial metabolites, inter-study variability
- MeSH terms
- Animals, Bacteria, Energy Metabolism, Health Status, Humans, Intestinal Mucosa, Intestines, Inflammatory Bowel Diseases, Signal Transduction, Host-Pathogen Interactions, Microbiota, Dysbiosis
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