Evidence map›Paper›PMID 31719226›Full record

ReviewJournal of biosciences2019

Homeostasis and dysbiosis of the gut microbiome in health and disease.

Bhabatosh DAS, G Balakrish Nair

Registry-linked trialAbstract readReview
PubMed
In one paragraph

Review in Journal of biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05646784 (Pathophysiological Aspects of the Role of Inflammation and Gut Microbiota in Mood Disorders, and Their Therapeutic Implications in Lebanese Population), which is not on this map. Cited by 109 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT05646784 nacompletednot on this mapstarted 2024, after this paper: background citation

Pathophysiological Aspects of the Role of Inflammation and Gut Microbiota in Mood Disorders, and Their Therapeutic Implications in Lebanese Population

TypeinterventionalSponsorSt Joseph University, Beirut, LebanonRan2024 to 2025Enrolled73ConditionsGut Microbiome, Mood DisordersArmsCerebiome, Placebo
3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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49 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

2 authors.

Bhabatosh DASMolecular Genetics Laboratory, Centre for Human Microbial Ecology, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad 121 001, India.
G Balakrish Nair

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gastrointestinal tract (GIT) harbors taxonomically and functionally complex microbial ecosystem. The composition of the microbial species in the GIT ecosystem varies among individuals and throughout development. Both environmental factors as well as host genetics influence the composition and homeostasis of GIT microbiome. Intrinsic GIT microbiome can be characterized in terms of diversity, richness, dynamics and resilience. In healthy individual, microbial communities maintain homeostatic equilibrium and are resistant against perturbations. The resilience and resistance to perturbations of the GIT microbial ecosystem are robust but not absolute. Several factors can affect the homeostatic equilibrium of GIT microbiome and lead to dysbiotic microbiome configuration. Taxonomic and/or functional dysbiosis in the GIT microbiome is associated with numerous health disorders like inflammatory bowel disease (IBD), malnutrition, metabolic disorders, asthma and neurodegenerative diseases. In this review, we discuss our current understanding of homeostasis and dysbiosis of the microbial ecology in the human gut and health disorders that are associated with the microbiome dysbiosis.

Indexed as

Gastrointestinal MicrobiomeHomeostasisHumans

Identifiers

PMID31719226

What OpenQuestion holds

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Registered trials

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.