Evidence map›Paper›PMID 41664179›Full record

ArticleBMC medicine2026

Genetic insights into radiomic and proteomic changes under β1-blockers treatment in hypertensive heart disease and hypertrophic cardiomyopathy.

Zhe Chen, Yifan Tang, Shuang Li, Liangbin Pan, Jiaxuan Wu, Jiangjiang Liu, Haitao Ma, Bin Wang, Kai Xie

Abstract read
In one paragraph

Article in BMC medicine, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhe Chen *Department of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China.
Yifan Tang *Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, 111 Ren-Ai Road, Suzhou City, Jiangsu Province, 215123, China.
Shuang Li *Department of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China.
Liangbin Pan *Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Jiaxuan WuWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, 111 Ren-Ai Road, Suzhou City, Jiangsu Province, 215123, China.
Jiangjiang LiuDepartment of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China.
Haitao MaDepartment of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China. mht7403@163.com.
Bin WangDepartment of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China. binwang198686@163.com.
Kai XieDepartment of Thoracic and Cardiovascular Surgery, Medical Center of Soochow University, Suzhou Key Laboratory of Chest Disease Diagnosis and Treatment, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, 215000, China. kaixie715786420@126.com.

Funding

Medical and industrial collaborative innovation research project SZM2021005Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01A147Science and Technology Program of Ili Kazakh Autonomous Prefecture YZ2022Y020
6 · The paper itself

Abstract

backgroundHypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their distinct mechanisms and therapeutic responses remain unclear. This study integrated genetic, imaging, and proteomic data to identify key mediators underlying β1-adrenergic receptor blockers (β1-blockers)-related therapeutic heterogeneity between HHD and HCM.

methodsGenetic instruments for β1-blockers were derived from two genome-wide association studies and integrated with cardiac magnetic resonance radiomic traits and plasma proteomic data from the UK Biobank, along with disease outcomes from FinnGen. A refined two-stage network Mendelian randomization framework with pleiotropy-robust estimators identified mediators of treatment response. To further elucidate their biological and clinical significance, additional analyses were performed, including drug-target profiling, molecular docking, adverse events (AEs) assessment, and drug prediction.

resultsWe identified three types of imaging features and ten mediator proteins that contributed to therapeutic responses in HHD and HCM. These mediators were categorized as either mediating (aligned with therapeutic outcomes) or suppressing (opposing therapeutic outcomes). Left ventricular regional radial strain acted as a suppressing factor in HHD but a mediating factor in HCM, whereas end-diastolic and end-systolic volumes consistently showed suppressing effects in both. Regional myocardial wall thickness also exerted a suppressing role in HCM. Among protein mediators, APOE, CGREF1, ITGA5, LSP1, NOS3, and NPPB were linked to HHD, whereas DUSP13, ITGA11, NID1, and SERPINA4 were related to HCM. Specifically, APOE, ITGA5, NOS3, NPPB, DUSP13, and ITGA11 acted as mediating factors, while CGREF1, LSP1, NID1, and SERPINA4 served as suppressing ones. These findings remained robust after pleiotropy adjustment and other genetic analyses. Molecular docking revealed interactions between ADRB1, the β1-blockers target, and downstream proteins, while drug prediction identified eight potential compounds linked to these mediators. Additionally, AE analyses indicated that some targets, such as DUSP13, could both mitigate and aggravate common AEs while contributing to cardiac therapy.

conclusionsThis integrative multi-omics analysis revealed distinct imaging and proteomic mechanisms of genetically proxied β1-blockers in HHD and HCM, providing genetic evidence for differential therapeutic responses and highlighting molecular targets for precision cardiovascular therapy.

Indexed as

Adrenergic beta-1 Receptor AntagonistsCardiomyopathy, HypertrophicHypertensionGenome-Wide Association StudyHumansProteomicsRadiomicsAdrenergic beta-1 Receptor AntagonistsHypertensive heart diseaseHypertrophic cardiomyopathyIntegrative omicsMendelian randomization

Identifiers

PMID41664179
PMCPMC12983497

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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.