Evidence map›Paper›PMID 41923419›Full record

ArticleJournal of clinical laboratory analysis2026

Large-Scale Evaluation of Traditional Chinese Medicines Reveals Potential PPARγ Modulators for Type 2 Diabetes Management.

Mingyuan Dou, Shandra Jones, Juan Montes, Jonathan Ritter, Li-Yu Shih, Chia-Jung Chan, Ying-Chou Lin, Min Chen, Shih-Yin Chen, Ning Wu

Abstract read
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Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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4 · The record

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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

10 authors.

Mingyuan DouDepartment of Mathematical Sciences, School of Natural Sciences and Mathematics, The University of Texas at Dallas, Dallas, Texas, USA.ORCID https://orcid.org/0009-0006-8322-2312
Shandra JonesDepartment of Biological Sciences, School of Arts and Sciences, Southeastern Oklahoma State University, Durant, Oklahoma, USA.
Juan MontesDepartment of Biological Sciences, School of Arts and Sciences, Southeastern Oklahoma State University, Durant, Oklahoma, USA.
Jonathan RitterDepartment of Biological Sciences, School of Arts and Sciences, Southeastern Oklahoma State University, Durant, Oklahoma, USA.
Li-Yu ShihGraduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan, Republic of China.
Chia-Jung ChanGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, Republic of China.
Ying-Chou LinDepartment of Accounting and Finance, John Massey School of Business, Southeastern Oklahoma State University, Durant, Oklahoma, USA.ORCID https://orcid.org/0000-0002-5943-8619
Min ChenDepartment of Mathematical Sciences, School of Natural Sciences and Mathematics, The University of Texas at Dallas, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-0676-3143
Shih-Yin ChenGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan, Republic of China.ORCID https://orcid.org/0000-0002-6925-7627
Ning WuDepartment of Biological Sciences, School of Arts and Sciences, Southeastern Oklahoma State University, Durant, Oklahoma, USA.ORCID https://orcid.org/0000-0002-2372-3813

Funding

China Medical University Hospital DMR-113-104National Science FoundationOklahoma State UniversitySoutheastern OKlahoma State University 290-01-121-0502-00
6 · The paper itself

Abstract

backgroundPeroxisome proliferator-activated receptor-gamma (PPARγ) is a pivotal nuclear receptor regulating glucose and lipid homeostasis, making it a primary therapeutic target for type 2 diabetes mellitus (T2DM). Despite the therapeutic potential of Traditional Chinese Medicine (TCM), a systematic, large-scale evaluation of its modulatory effects on PPARγ remains insufficient.

methodsWe developed a high-throughput screening platform utilizing a pGL4.17-PPARγ promoter-luciferase reporter system in 293 T cells. A library of 639 TCM samples (345 single formulas, SF; 294 multiple formulas, MF) was evaluated. Leading candidates were validated through RT-qPCR, Western blotting, and ELISA to assess PPARγ mRNA expression and protein abundance.

resultsScreening identified 139 TCMs that enhanced PPARγ activity, with 47 SF and 2 MF achieving an effective rate (ER) exceeding 60%. Notably, 25 of these are novel candidates for T2D, while 24 align with previous reports. Specifically, Astragali Radix (S241) and Puerariae Thomsonii Radix (S258) were identified as potent inducers, significantly upregulating PPARγ at both transcriptional and translational levels. Conversely, 55 samples, including Gymnema sylvestre (S169) and Paris polyphylla (S3), exhibited robust inhibitory effects, reducing ER by -52% to -99%.

conclusionsThis study identified 45 novel TCM candidates for T2D management. While several TCMs demonstrated PPARγ inhibition despite their traditional use for diabetic symptom alleviation, our findings suggest that a comprehensive evaluation is essential to balance their immediate clinical benefits with long-term metabolic management and potential side effects.

Indexed as

Diabetes Mellitus, Type 2Drugs, Chinese HerbalHypoglycemic AgentsMedicine, Chinese TraditionalPPAR gammaHEK293 CellsHigh-Throughput Screening AssaysHumansPPAR-gamma AgonistsDrugs, Chinese HerbalHypoglycemic AgentsPPAR gammaPPAR-gamma Agonistsdrug effectPPARγ genepromoter activitytraditional Chinese medicinetranscription; type 2 diabetes

Identifiers

PMID41923419
PMCPMC13327478

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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.