Evidence map›Paper›PMID 42421295›Full record

ReviewGut microbes2026

The gut microbiome and mitochondrial function in metabolism, immunity, and disease.

Eui Jeong Han, Da-Hye Kim, Jeong Jae Lee, Hea-Jong Chung

Abstract readReview
In one paragraph

Review in Gut microbes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Eui Jeong HanGwangju Center, Korea Basic Science Institute, Gwangju, Republic of Korea.ORCID 0009-0000-7267-2154
Da-Hye KimGwangju Center, Korea Basic Science Institute, Gwangju, Republic of Korea.
Jeong Jae LeeGwangju Center, Korea Basic Science Institute, Gwangju, Republic of Korea.
Hea-Jong ChungGwangju Center, Korea Basic Science Institute, Gwangju, Republic of Korea.ORCID 0000-0002-1185-7654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome is a key regulator of host physiology, yet its effects remain difficult to predict across individuals and contexts. Similar microbial compositions frequently give rise to divergent and delayed phenotypic outcomes, indicating that models based solely on signal strength or steady-state responses are insufficient to explain microbiome-driven host function. In this review, we propose a conceptual perspective in which microbiome-associated variability is shaped by the capacity of host cells to maintain mitochondrial function under persistent metabolic and immune stress. Microbiome-derived metabolites and immune activity define the metabolic and redox environments that constrain mitochondrial performance, thereby influencing how effectively cells recover from repeated stress. When mitochondrial membrane potential, redox balance, and energy production are not fully restored, mitochondria may show increased engagement of quality-control pathways. Over repeated stress-recovery cycles, this pattern may be associated with reduced functional reserve despite preserved baseline activity. This testable perspective may help explain why microbiome-associated phenotypes are delayed, variable, and context-dependent, and it highlights mitochondrial recovery capacity as a potential determinant of disease vulnerability and host-microbiome interactions.

Indexed as

Gastrointestinal MicrobiomeHost Microbial InteractionsMitochondriaAnimalsEnergy MetabolismHumanscellular stress responseGut microbiomehost–microbe interactionsimmunometabolismmitochondrial function

Identifiers

PMID42421295
PMCPMC13353788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.