Evidence map›Paper›PMID 42429831›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Integrated transcriptomic and Mendelian randomization analysis identifies novel biomarkers for type 2 diabetes-associated cardiac dysfunction: cynaropicrin as a candidate intervention.

Lindong Zhang, Lingling Qin, Lili Wu, Tonghua Liu

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Article in Naunyn-Schmiedeberg's archives of 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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lindong ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Lingling QinScience and Technology Office, Beijing University of Chinese Medicine, Beijing, 102488, China.
Lili WuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Tonghua LiuKey Laboratory of Health Cultivation of the Ministry of Education, Beijing University of Chinese Medicine, Beijing, 102488, China. thliu@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to identify T2DM-associated biomarkers linked to diabetic cardiac dysfunction-related transcriptomic signatures through integrated transcriptomic and Mendelian randomization analysis and evaluate cynaropicrin as a candidate cardiometabolic intervention. Transcriptomic datasets from the GEO database related to diabetic cardiac dysfunction, heart failure, and cardiomyopathy-associated phenotypes were processed for differential expression analysis and WGCNA, with consideration of disease-definition and tissue-source heterogeneity. A two-sample Mendelian randomization analysis was used to evaluate genetically predicted associations between candidate gene expression and T2DM risk. External validation assessed diagnostic performance via ROC analysis. Multi-database screening and molecular docking identified candidate compounds. Streptozotocin-induced diabetic rats were treated with cynaropicrin for 8 weeks, with comprehensive cardiac and metabolic assessment. Analysis identified 30 candidate genes with functional enrichment in proteostasis and metabolism. Mendelian randomization prioritized three T2DM-associated genetically supported genes: PPIP5K2, RBM23, and IGF2BP2. Cynaropicrin significantly improved cardiac function, reduced fibrosis, and enhanced glycemic control in diabetic rats while suppressing pro-fibrotic signaling. PPIP5K2, RBM23, and IGF2BP2 represent T2DM-associated genetically supported biomarkers dysregulated in diabetic cardiac dysfunction-related datasets with diagnostic potential. Cynaropicrin demonstrates candidate cardioprotective and metabolic benefits in diabetic rats; however, its direct molecular targets and mechanism of action require further validation.

Indexed as

BiomarkersCynaropicrinDiabetic cardiac dysfunctionMendelian randomizationType 2 diabetes mellitus

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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.