Evidence map›Paper›PMID 41822875›Full record

ReviewFrontiers in medicine2026

Advances in Traditional Chinese Medicine interventions for influenza A based on the gut-lung axis: modern evidence for the exterior-interior relationship between the lung and large intestine.

Qiong Chen, Jie Gong, Hongming Fan, Guobin Tao, Chaoliang Lin, Xiangjin Cheng, Honglin Zhu

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

7 authors.

Qiong ChenDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Jie GongDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Hongming FanDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Guobin TaoDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Chaoliang LinDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Xiangjin ChengDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.
Honglin ZhuDepartment of Emergency, Yancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A virus (IAV) is a common respiratory pathogen that causes seasonal epidemics and severe infections, imposing substantial healthcare and economic burdens. IAV infection can disrupt the gut microbiota, and the resulting dysbiosis influences host status during both the early and later stages of infection. In recent years, Traditional Chinese Medicine (TCM) has shown considerable potential in the treatment of IAV. Guided by the TCM concept of the exterior-interior relationship between the lung and large intestine and integrated with contemporary research on the gut-lung axis, this review summarizes advances in the mechanistic and preclinical evidence of Chinese herbal formulas, individual compounds, and polysaccharides in influenza A and outlines mechanism-based research directions and translational insights to inform future exploration.

Indexed as

active ingredientsChinese herbal formulasgut-lung axisgut microbiotainfluenza A viruspolysaccharidesTraditional Chinese Medicine

Identifiers

PMID41822875
PMCPMC12975882

What OpenQuestion 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 OpenQuestion graph.