Evidence map›Paper›PMID 40778202›Full record

ArticleFrontiers in microbiology2025

Shi-Long Wang, Si Liang, Si-Yu Li, Jin-Wen Fu, Zi-Yi-Ru Wang, Dong-Qing Zhu, Nan Chen

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Frontiers in endocrinology · 2026
    Article
  3. 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.

Shi-Long Wang *School of Basic Medical Sciences, Hebei University, Baoding, China.
Si Liang *Department of Anesthesiology, Affiliated Hospital of Hebei University, Baoding, China.
Si-Yu LiSchool of Basic Medical Sciences, Hebei University, Baoding, China.
Jin-Wen FuSchool of Basic Medical Sciences, Hebei University, Baoding, China.
Zi-Yi-Ru WangSchool of Basic Medical Sciences, Hebei University, Baoding, China.
Dong-Qing ZhuSchool of Basic Medical Sciences, Hebei University, Baoding, China.
Nan ChenSchool of Basic Medical Sciences, Hebei University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Non-alcoholic fatty liver disease (MASLD) is a common liver condition with a global prevalence of approximately 25%, often associated with overweight, obesity, and abnormalities in glucose and lipid metabolism. Its histological hallmark is hepatic steatosis. Non-alcoholic steatohepatitis (MASH), an advanced form of MASLD, can lead to cirrhosis and liver cancer. Dysbiosis of the gut microbiota plays a significant role in chronic liver diseases, making probiotic treatment a focal point in MASLD research. Studies have shown that Methods: In this study, we constructed MASLD and MASH models using a high-fructose, high-fat diet combined with carbon tetrachloride (CCl4) induction to explore the effects of LGG on disease progression. Our findings revealed that in the MASLD model, LGG improved lipid metabolism and inflammatory responses by modulating the gut microbiota (e.g., increasing the abundance of Bacteroidetes) and promoting the production of short-chain fatty acids (SCFAs). Additionally, LGG reduced the expression of genes related to lipogenesis, further alleviating MASLD. Results: In the MASH model, LGG primarily exerted its effects by inhibiting the TGF-β/SMAD signaling pathway and reducing the expression of pro-inflammatory factors (e.g., IL-1β, IL-6, TNF-α), thereby mitigating liver fibrosis and inflammation. Furthermore, LGG restored intestinal barrier function, reduced intestinal permeability, and prevented harmful substances like endotoxins from entering the liver, further alleviating hepatic inflammation and fibrosis. Discussion: Although LGG shows promise in the treatment of MASLD and MASH, its mechanisms of action and long-term effects require further investigation. Future research should focus on optimizing the types, dosages, and treatment regimens of probiotics, as well as monitoring their long-term impact on gut microbiota balance, to ensure their safety and efficacy in clinical applications.

Indexed as

gut barriergut microbiotanon-alcoholic fatty liver diseasenon-alcoholic steatohepatitisprobiotics

Identifiers

PMID40778202
PMCPMC12328336

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.