Cited by 137Gut microbiota and healthGastrointestinal motility and disordersAnimal Nutrition and Physiology

Mechanistic links between gut microbial community dynamics, microbial functions and metabolic health

Open access
Ha, Connie WY·2014·World Journal of Gastroenterology

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3748/wjg.v20.i44.16498

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 166 · Cited by 137

Research works printed but not linked: 1

  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
Venue
World Journal of Gastroenterology
Published
2014
Volume
20
Issue
44
Pages
16498
ISSN
1007-9327 (ISSN-L)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review