Evidence map›Paper›PMID 25469018›Full record

ReviewWorld journal of gastroenterology2014

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

Connie W Y Ha, Yan Y Lam, Andrew J Holmes

Open access · bronzeAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

  1. Pooled it
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  8. Observational
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  17. IngestingMicroorganisms · 2024
    Article
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Connie W Y HaConnie WY Ha, Andrew J Holmes, School of Molecular Bioscience and Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
Yan Y LamConnie WY Ha, Andrew J Holmes, School of Molecular Bioscience and Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
Andrew J HolmesConnie WY Ha, Andrew J Holmes, School of Molecular Bioscience and Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BacteriaEnergy MetabolismHealth StatusMicrobiotaAnimalsDysbiosisHost-Pathogen InteractionsHumansInflammatory Bowel DiseasesIntestinal MucosaIntestinesSignal TransductionBileDysbiosisEnteroendocrine cellsHigh fat dietImmunomodulationIntestinal mucosaMicrobe-associated molecular patternsMicrobiomeShort chain fatty acids

Identifiers

PMID25469018
PMCPMC4248193
OpenAlexW2038334842

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.