Identification of potential drug targets for varicose veins: a Mendelian randomization analysis

被引:6
作者
Lin, Jianfeng [1 ]
Zhou, Jiawei [2 ]
Liu, Zhili [2 ]
Zeng, Rong [2 ]
Wang, Lei [2 ]
Li, Fangda [2 ]
Cui, Liqiang [2 ]
Zheng, Yuehong [2 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Vasc Surg, Beijing, Peoples R China
关键词
varicose veins; proteomics; genetics; drug targets; Mendelian randomization; EXPRESSION; EPIDEMIOLOGY; INSTRUMENTS; GUIDELINES; DISEASE;
D O I
10.3389/fcvm.2023.1126208
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionVaricose veins are a common chronic disease that creates a significant economic burden on the healthcare system. Current treatment options, including pharmacological treatments, are not always effective, and there is a need for more targeted therapies. A Mendelian randomization (MR) method uses genetic variants as instrumental variables to estimate the causal effect of an exposure on an outcome, and it has been successful in identifying therapeutic targets in other diseases. However, few studies have used MR to explore potential protein drug targets for varicose veins. MethodsTo identify potential drug targets for varicose veins of lower extremities, we undertook a comprehensive screen of plasma protein with a two-sample MR method. We used recently reported cis-variants as genetic instruments of 2,004 plasma proteins, then applied MR to a recent meta-analysis of genome-wide association study on varicose veins (22,037 cases and 437,665 controls). Furthermore, pleiotropy detection, reverse causality testing, colocalization analysis, and external replication were utilized to strengthen the causal effects of prioritized proteins. Phenome-wide MR (PheW-MR) of the prioritized proteins for the risk of 525 diseases was conducted to screen potential side effects. ResultsWe identified eight plasma proteins that are significantly associated with the risk of varicose veins after Bonferroni correction (P < 2.495 x 10(-5)), with five being protective (LUM, POSTN, RPN1, RSPO3, and VAT1) and three harmful (COLEC11, IRF3, and SARS2). Most identified proteins showed no pleiotropic effects except for COLLEC11. Bidirectional MR and MR Steiger testing excluded reverse causal relationship between varicose veins and prioritized proteins. The colocalization analysis indicated that COLEC11, IRF3, LUM, POSTN, RSPO3, and SARS2 shared the same causal variant with varicose veins. Finally, seven identified proteins replicated with alternative instruments except for VAT1. Furthermore, PheW-MR revealed that only IRF3 had potential harmful adverse side effects. ConclusionsWe identified eight potential causal proteins for varicose veins with MR. A comprehensive analysis indicated that IRF3, LUM, POSTN, RSPO3, and SARS2 might be potential drug targets for varicose veins.
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页数:8
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共 47 条
[1]   The role of aminoacyl-tRNA synthetases in genetic diseases [J].
Antonellis, Anthony ;
Green, Eric D. .
ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2008, 9 :87-107
[2]   Extracellular matrix remodelling in response to venous hypertension: proteomics of human varicose veins [J].
Barallobre-Barreiro, Javier ;
Oklu, Rahmi ;
Lynch, Marc ;
Fava, Marika ;
Baig, Ferheen ;
Yin, Xiaoke ;
Barwari, Temo ;
Potier, David N. ;
Albadawi, Hassan ;
Jahangiri, Marjan ;
Porter, Karen E. ;
Watkins, Michael T. ;
Misra, Sanjay ;
Stoughton, Julianne ;
Mayr, Manuel .
CARDIOVASCULAR RESEARCH, 2016, 110 (03) :419-430
[3]   Epidemiology and Genetics of Venous Thromboembolism and Chronic Venous Disease [J].
Baylis, Richard A. ;
Smith, Nicholas L. ;
Klarin, Derek ;
Fukaya, Eri .
CIRCULATION RESEARCH, 2021, 128 (12) :1988-2002
[4]   The epidemiology of chronic venous insufficiency and varicose veins [J].
Beebe-Dimmer, JL ;
Pfeifer, JR ;
Engle, JS ;
Schottenfeld, D .
ANNALS OF EPIDEMIOLOGY, 2005, 15 (03) :175-184
[5]   Mutations in the Mitochondrial Seryl-tRNA Synthetase Cause Hyperuricemia, Pulmonary Hypertension, Renal Failure in Infancy and Alkalosis, HUPRA Syndrome [J].
Belostotsky, Ruth ;
Ben-Shalom, Efrat ;
Rinat, Choni ;
Becker-Cohen, Rachel ;
Feinstein, Sofia ;
Zeligson, Sharon ;
Segel, Reeval ;
Elpeleg, Orly ;
Nassar, Suheir ;
Frishberg, Yaacov .
AMERICAN JOURNAL OF HUMAN GENETICS, 2011, 88 (02) :193-200
[6]   Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression [J].
Bowden, Jack ;
Smith, George Davey ;
Burgess, Stephen .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) :512-525
[7]   Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data [J].
Burgess, Stephen ;
Butterworth, Adam ;
Thompson, Simon G. .
GENETIC EPIDEMIOLOGY, 2013, 37 (07) :658-665
[8]  
Chang MY., 2009, Fooyin J. Health Sci, V1, P85, DOI [10.1016/S1877-8607(10)60005-7, DOI 10.1016/S1877-8607(10)60005-7]
[9]   The regulatory roles of small leucine-rich proteoglycans in extracellular matrix assembly [J].
Chen, Shoujun ;
Birk, David E. .
FEBS JOURNAL, 2013, 280 (10) :2120-2137
[10]   Novel Drug Targets for Ischemic Stroke Identified Through Mendelian Randomization Analysis of the Blood Proteome [J].
Chong, Michael ;
Sjaarda, Jennifer ;
Pigeyre, Marie ;
Mohammadi-Shemirani, Pedrum ;
Lali, Ricky ;
Shoamanesh, Ashkan ;
Gerstein, Hertzel Chaim ;
Pare, Guillaume .
CIRCULATION, 2019, 140 (10) :819-830