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Novel Drug Targets for Atrial Fibrillation Identified Through Mendelian Randomization Analysis of the Blood Proteome.
Ning, Zuodong; Huang, Yunying; Lu, Haocheng; Zhou, Yong; Tu, Tao; Ouyang, Feifan; Liu, Yaozhong; Liu, Qiming.
Affiliation
  • Ning Z; Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
  • Huang Y; Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
  • Lu H; Department of Pharmacology, Southern University of Science and Technology, Guangdong, China.
  • Zhou Y; Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
  • Tu T; Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
  • Ouyang F; Department of Cardiology, Asklepios Klinik St. Georg, Hamburg, Germany.
  • Liu Y; Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China. yaozhongliu@csu.edu.cn.
  • Liu Q; Department of Internal Medicine, Frankel Cardiovascular Center, University of Michigan, Ann Arbor MI, MI, USA. yaozhongliu@csu.edu.cn.
Article in En | MEDLINE | ID: mdl-37212950
ABSTRACT

PURPOSE:

Novel, effective, and safe preventive therapy targets for AF are still needed. Circulating proteins with causal genetic evidence are promising candidates. We aimed to systematically screen circulating proteins for AF drug targets and determine their safety and efficacy using genetic methods.

METHODS:

The protein quantitative trait loci (pQTL) of up to 1949 circulating proteins were retrieved from nine large genome-proteome-wide association studies. Two-sample Mendelian Randomization (MR) and colocalization analyses were used to estimate the causal effects of proteins on the risk of AF. Furthermore, phenome-wide MR was conducted to depict side effects and the drug-target databases were searched for drug validation and repurposing.

RESULTS:

Systematic MR screen identified 30 proteins as promising AF drug targets. Genetically predicted 12 proteins increased AF risk (TES, CFL2, MTHFD1, RAB1A, DUSP13, SRL, ANXA4, NEO1, FKBP7, SPON1, LPA, MANBA); 18 proteins decreased AF risk (PMVK, UBE2F, SYT11, CHMP3, PFKM, FBP1, TNFSF12, CTSZ, QSOX2, ALAD, EFEMP1, FLRT2, LRIG1, OLA1, SH3BGRL3, IL6R, B3GNT8, FCGR2A). DUSP13 and TNFSF12 possess strong colocalization evidence. For the proteins that were identified, extended phe-MR analysis was conducted to assess their side-effect profiles, while drug-target databases provided information on their approved or investigated indications.

CONCLUSION:

We identified 30 circulating proteins as potential preventive targets for AF.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Journal: Cardiovasc Drugs Ther Journal subject: ANGIOLOGIA / CARDIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Journal: Cardiovasc Drugs Ther Journal subject: ANGIOLOGIA / CARDIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2023 Document type: Article Affiliation country: