Evidence map›Paper›PMID 41113402›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025

[Shared Therapeutic Targets of Obesity and Type 2 Diabetes Mellitus and the Intervention Mechanisms of Chinese Herbal Components].

Ruli Li, Rongrong Wang, Lianxin Li, Chuchu Wang, Tianlan Liao, Boxun Zhang, Rensong Yue

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. 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. AFoods (Basel, Switzerland) · 2026
    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

7 authors.

Ruli Li( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.ORCID 0000-0002-2717-9464
Rongrong Wang( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Lianxin Li( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Chuchu Wang( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Tianlan Liao( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Boxun Zhang( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Rensong Yue( 610072) TCM Prevention and Treatment of Metabolic and Chronic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.ORCID 0009-0005-3551-4321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the shared potential targets and molecular mechanisms of obesity and type 2 diabetes mellitus (T2DM) using bioinformatics methods, to validate the expression of core targets through animal experiments, and to analyze the intervention potential of active components of traditional Chinese medicine (TCM). Methods: The obese population datasets (GSE151839 and GSE162653) were obtained from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes, which were then intersected with T2DM-related targets from the GeneCards database to identify shared targets. A protein-protein interaction (PPI) network was constructed using the STRING database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to identify enriched biological processes and signaling pathways. The expression of core targets in adipose tissue from patients with obesity and T2DM was validated using the GEO database. A total of 12 specific-pathogen-free (SPF) male Sprague-Dawley (SD) rats, aged 8 weeks and weighing between 180 and 200 g, were randomly assigned to a control group and a model group ( Results: A total of 460 and 796 obesity-related differentially expressed genes were identified in the GSE151839 and GSE162653 datasets, respectively, and 109 shared targets were obtained by intersection with T2DM-related targets. According to PPI network analysis, PTPRC, MMP9, ITGB2, CD86, CCR5, and CCR2 were identified as the core targets. GO and KEGG analysis showed that these targets are mainly enriched in biological processes such as inflammatory response, immune regulation, and cell adhesion. Animal experiments confirmed that the mRNA and protein expression of core targets, including Conclusion: This study reveals the shared molecular mechanisms between obesity and T2DM and shows that core targets, such as PTPRC and MMP9, may promote disease progression by regulating the inflammation-immune network. These findings provide a theoretical basis for the development of targeted therapeutic strategies based on TCM active ingredients.

Indexed as

Diabetes Mellitus, Type 2Drugs, Chinese HerbalObesityAnimalsComputational BiologyHumansMaleProtein Interaction MapsRatsRats, Sprague-DawleySignal TransductionDrugs, Chinese HerbalImmunityInflammationObesityType 2 diabetes mellitus

Identifiers

PMID41113402
PMCPMC12530988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.