Evidence map›Paper›PMID 42761201›Full record

ArticleFrontiers in pharmacology2026

Repurposed metformin-apigenin combination therapy for metabolic dysfunction-associated steatohepatitis: from integrative multi-omics discovery to

Kanglong Zhang, Yihua Chen, Linwei Ran, Weizhao Tong, Lu Dai, Zhen Yang, Qi Chen, Jie Zheng, Guoxin Hu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

9 authors.

Kanglong ZhangDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong, China.
Yihua ChenDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Linwei RanDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Weizhao TongDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Lu DaiDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Zhen YangDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Qi ChenDepartment of Ultrasound, Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University- The Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong, China.
Jie ZhengDepartment of Traditional Chinese Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Guoxin HuDepartment of Infectious Diseases, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysfunction-associated steatohepatitis (MASH) is a chronic liver disease. Although recent drugs have been approved, the complex pathophysiology of MASH limits monotherapy efficacy and generates considerable inter-patient heterogeneity. The purpose of this research was to identify new molecular targets and develop a rational combination therapeutic approach for MASH. Methods: To determine the molecular signatures of MASH mouse models and healthy controls, we conducted bulk RNA sequencing on liver tissues and then analyzed the data with a variety of Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, weighted gene co-expression network analysis, and so on. The role of lipidomic profiling was to determine the relation between genes and lipids. The human MASH liver specimens were used to test clinical relevance. Causal relationships were measured using Mendelian randomization (MR). Direct interaction between the drugs and the target was predicted by molecular docking and molecular dynamics simulations. The efficacy of metformin and apigenin as single therapy and in combination was assessed Results: We discovered a five-gene signature (Gpd2, Cybb, Clec12a, Ifi211, and Tifab), which was highly expressed by MASH and was strongly connected to lipid metabolism and inflammatory events. Integrative lipidomic correlation analysis showed that these genes were specifically linked with certain lipotoxic species. Molecular docking and molecular dynamics simulation studies have shown that metformin and apigenin, respectively, bind to Gpd2 and Cybb directly. Both agents alleviated the MASH pathology, and combined therapy was more effective than monotherapy. Conclusion: This study provides a new five-gene signature transcending hepatic lipid dysregulation and inflammation associated with MASH. The demonstration that metformin targets Gpd2 and apigenin targets Cybb provides a mechanistic basis for combination therapy, which exhibited superior efficacy over monotherapy. This repurposed oral drug combination offers a promising multi-target strategy for MASH treatment.

Indexed as

drug repurposinglipid dysregulation and inflammationmetabolic dysfunction-associated steatohepatitismetformin–apigenin combination therapymulti-omics

Identifiers

PMID42761201
PMCPMC13586655

What OpenQuestion 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 OpenQuestion graph.