Evidence map›Paper›PMID 42051692›Full record

ArticleFrontiers in medicine2026

Gut microbiome in sepsis: from dysbiotic biomarker to precision and palliative decision-making.

Li-Min Wang, Chu Chen, Jian-Cuo Danzheng, Jing Zhao

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Li-Min WangDepartment of Clinical Laboratory, Shaanxi Province Hospital of Traditional Chinese Medicine, Xi'an, China.
Chu ChenDepartment of Clinical Laboratory, Shaanxi Province Hospital of Traditional Chinese Medicine, Xi'an, China.
Jian-Cuo DanzhengDepartment of Clinical Laboratory, Shaanxi Province Hospital of Traditional Chinese Medicine, Xi'an, China.
Jing ZhaoDepartment of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a major cause of mortality in critically ill patients, necessitating improved early detection, risk stratification, and individualized clinical decision-making. The gut microbiome actively regulates host immunity, metabolism, and barrier function, engaging in bidirectional interactions with sepsis progression. Evidence suggests that gut dysbiosis not only accompanies sepsis but may also accelerate it. Characteristic shifts, including reduced microbial diversity, expansion of opportunistic pathogens, and decreased short-chain fatty acid production, could offer early prognostic signals prior to clinical decline. Advances in multi-omics and computational analytics are enabling the translation of microbial signatures into actionable clinical insights, supporting phenotype-specific stratification in sepsis. Emerging microbiome-targeted interventions such as next-generation probiotics, synbiotics, metabolite supplementation, and fecal microbiota transplantation show potential for modulating host responses in a stage-specific manner. Within a precision medicine framework, microbiome-derived biomarkers may refine both critical care management and palliative decision-making. In advanced or refractory sepsis, these insights could help tailor treatment intensity, prioritize symptom control, and avoid non-beneficial therapeutic escalation. Realizing this potential will require prospective validation and standardized approaches to integrate microbiome data into personalized, goal-concordant sepsis care.

Indexed as

biomarkersdysbiosisgut microbiomeimmunometabolismmicrobiome therapeuticsprecision medicinesepsis

Identifiers

PMID42051692
PMCPMC13110943

What Socratic holds

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LicenceCC BY
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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 Socratic graph.