Evidence mapPaperPMID 42041913Full record

ReviewBiology2026

From Microbial Ecology to Functional Components in Microbe-Host Interactions.

Tao Wang, Zhengjin Wang, Xiao Yang, Lei Zhang

Abstract readReview
In one paragraph

Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Tao WangMicrobiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.ORCID 0009-0005-8728-8960
Zhengjin WangMicrobiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.ORCID 0009-0006-5134-7719
Xiao YangMicrobiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Lei ZhangSchool of Pharmaceutical Engineering, Jining Medical University, Jining 272067, China.

Funding

National Natural Science Foundation of China 82370785TaiShan Industrial Experts Program tscy20190612TaiShan Scholars Program of Shandong Province tshw20120206
6 · The paper itself

Abstract

Microbiome research is shifting from a focus on "whole microorganisms" to an emphasis on microbial functional components. This review systematically describes how the effects of microbial communities on the host are mediated by bioactive functional components released by microbes. These components primarily exert their effects through interactions with host Pattern Recognition Receptors (PRRs) and metabolic sensing receptors, thereby regulating host immune, metabolic, and barrier function networks. The biological effects of these functional components are highly context-dependent. Under homeostasis, metabolites such as SCFAs and bile acids promote mucosal immune tolerance and maintain epithelial barrier integrity. However, the same signals can become deleterious under dysbiosis, driving inflammation and contributing to colorectal tumorigenesis. Mechanistic dissection of individual components, such as lipopolysaccharide (LPS), is now propelling a transition in clinical translation from whole-microbe-based interventions toward component-oriented diagnostics and therapeutics. Component-oriented diagnostics and therapeutics use defined microbial molecules rather than whole microorganisms. Microbial nucleic acids (e.g., HPV DNA), metabolites (e.g., SCFAs), and proteins can serve as biomarkers for disease risk, diagnosis, and prognosis. Therapeutic strategies include targeted modulation of beneficial components, neutralization of harmful molecules, and engineered microbial delivery.

Indexed as

biomarkersclinical translationmicrobe–host interactionsmicrobial functional components

Identifiers

PMID42041913
PMCPMC13113041

What Socratic 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 Socratic graph.