Evidence mapPaperPMID 40668342Full record

ArticleProbiotics and antimicrobial proteins2026

Lactiplantibacillus plantarum GUANKE Alleviates Intestinal Barrier Damage Caused by Influenza Infection in Mice.

Kun Yue, Simin Lu, Tao Yang, Jielan Mi, Siqin He, Hanyu Ma, Yujia He, Zhihan Yang, Yuanming Huang, Liqiong Song and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Probiotics and antimicrobial proteins, 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. Article
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

13 authors.

Kun Yue *Research Unite for Unknown Microbe, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Simin Lu *Research Unite for Unknown Microbe, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Tao YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Jielan MiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Siqin HeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Hanyu MaBasic Theory for Chinese Medicine, China, Academy of Chinese Medical Sciences , Beijing, China.
Yujia HeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Zhihan YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Yuanming HuangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Liqiong SongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.
Zhihong RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China. renzhihong@icdc.cn.
Lili RenInstitute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. renliliipb@163.com.
Jianguo XuResearch Unite for Unknown Microbe, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. xujianguo@icdc.cn.

Funding

National Key R and D Program of China 2023YFC0871200the Research Units of Discovery of Unknown Bacteria and Function No. 2018RU010
6 · The paper itself

Abstract

Influenza, a highly transmissible acute respiratory illness caused by influenza viruses, is responsible for annual seasonal epidemics and poses a substantial global disease burden. While primarily recognized for its respiratory manifestations, influenza infection exhibits significant extrapulmonary effects, particularly through disrupting gut microbiota composition and compromising intestinal barrier integrity. This study investigates the protective efficacy of Lactiplantibacillus plantarum strain GUANKE against influenza-associated intestinal pathology in a murine model. Building on GUANKE's established safety profile and immunomodulatory capabilities, we employed a multi-faceted approach examining three key defense mechanisms: (1) maintenance of intestinal epithelial integrity, (2) preservation of chemical mucosal secretions, and (3) modulation of microbial homeostasis. Our findings establish crucial scientific evidence for probiotic-mediated protection of gastrointestinal function during influenza infection, potentially informing novel therapeutic strategies for virus-induced gut dysbiosis.

Indexed as

Intestinal MucosaOrthomyxoviridae InfectionsProbioticsAnimalsDisease Models, AnimalDysbiosisFemaleGastrointestinal MicrobiomeMiceGut-lung axisGut microbiotaInfluenza infectionIntestinal barrierLactiplantibacillus plantarum GUANKE

Identifiers

What Socratic holds

Textmetadata
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.