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Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease

BACKGROUND: Integrated analyses of plasma proteomic and genetic markers in prospective studies can clarify the causal relevance of proteins and discover novel targets for ischemic heart disease (IHD) and other diseases. OBJECTIVES: The purpose of this study was to examine associations of proteomics...

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Autores principales: Mazidi, Mohsen, Wright, Neil, Yao, Pang, Kartsonaki, Christiana, Millwood, Iona Y., Fry, Hannah, Said, Saredo, Pozarickij, Alfred, Pei, Pei, Chen, Yiping, Avery, Daniel, Du, Huaidong, Schmidt, Dan Valle, Yang, Ling, Lv, Jun, Yu, Canqing, Chen, Junshi, Hill, Michael, Holmes, Michael V., Howson, Joanna M.M., Peto, Richard, Collins, Rory, Bennett, Derrick A., Walters, Robin G., Li, Liming, Clarke, Robert, Chen, Zhengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Biomedical 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641761/
https://www.ncbi.nlm.nih.gov/pubmed/37940228
http://dx.doi.org/10.1016/j.jacc.2023.09.804
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author Mazidi, Mohsen
Wright, Neil
Yao, Pang
Kartsonaki, Christiana
Millwood, Iona Y.
Fry, Hannah
Said, Saredo
Pozarickij, Alfred
Pei, Pei
Chen, Yiping
Avery, Daniel
Du, Huaidong
Schmidt, Dan Valle
Yang, Ling
Lv, Jun
Yu, Canqing
Chen, Junshi
Hill, Michael
Holmes, Michael V.
Howson, Joanna M.M.
Peto, Richard
Collins, Rory
Bennett, Derrick A.
Walters, Robin G.
Li, Liming
Clarke, Robert
Chen, Zhengming
author_facet Mazidi, Mohsen
Wright, Neil
Yao, Pang
Kartsonaki, Christiana
Millwood, Iona Y.
Fry, Hannah
Said, Saredo
Pozarickij, Alfred
Pei, Pei
Chen, Yiping
Avery, Daniel
Du, Huaidong
Schmidt, Dan Valle
Yang, Ling
Lv, Jun
Yu, Canqing
Chen, Junshi
Hill, Michael
Holmes, Michael V.
Howson, Joanna M.M.
Peto, Richard
Collins, Rory
Bennett, Derrick A.
Walters, Robin G.
Li, Liming
Clarke, Robert
Chen, Zhengming
author_sort Mazidi, Mohsen
collection PubMed
description BACKGROUND: Integrated analyses of plasma proteomic and genetic markers in prospective studies can clarify the causal relevance of proteins and discover novel targets for ischemic heart disease (IHD) and other diseases. OBJECTIVES: The purpose of this study was to examine associations of proteomics and genetics data with IHD in population studies to discover novel preventive treatments. METHODS: We conducted a nested case-cohort study in the China Kadoorie Biobank (CKB) involving 1,971 incident IHD cases and 2,001 subcohort participants who were genotyped and free of prior cardiovascular disease. We measured 1,463 proteins in the stored baseline samples using the OLINK EXPLORE panel. Cox regression yielded adjusted HRs for IHD associated with individual proteins after accounting for multiple testing. Moreover, cis-protein quantitative loci (pQTLs) identified for proteins in genome-wide association studies of CKB and of UK Biobank were used as instrumental variables in separate 2-sample Mendelian randomization (MR) studies involving global CARDIOGRAM+C4D consortium (210,842 IHD cases and 1,378,170 controls). RESULTS: Overall 361 proteins were significantly associated at false discovery rate <0.05 with risk of IHD (349 positively, 12 inversely) in CKB, including N-terminal prohormone of brain natriuretic peptide and proprotein convertase subtilisin/kexin type 9. Of these 361 proteins, 212 had cis-pQTLs in CKB, and MR analyses of 198 variants in CARDIOGRAM+C4D identified 13 proteins that showed potentially causal associations with IHD. Independent MR analyses of 307 cis-pQTLs identified in Europeans replicated associations for 4 proteins (FURIN, proteinase-activated receptor-1, Asialoglycoprotein receptor-1, and matrix metalloproteinase-3). Further downstream analyses showed that FURIN, which is highly expressed in endothelial cells, is a potential novel target and matrix metalloproteinase-3 a potential repurposing target for IHD. CONCLUSIONS: Integrated analyses of proteomic and genetic data in Chinese and European adults provided causal support for FURIN and multiple other proteins as potential novel drug targets for treatment of IHD.
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spelling pubmed-106417612023-11-15 Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease Mazidi, Mohsen Wright, Neil Yao, Pang Kartsonaki, Christiana Millwood, Iona Y. Fry, Hannah Said, Saredo Pozarickij, Alfred Pei, Pei Chen, Yiping Avery, Daniel Du, Huaidong Schmidt, Dan Valle Yang, Ling Lv, Jun Yu, Canqing Chen, Junshi Hill, Michael Holmes, Michael V. Howson, Joanna M.M. Peto, Richard Collins, Rory Bennett, Derrick A. Walters, Robin G. Li, Liming Clarke, Robert Chen, Zhengming J Am Coll Cardiol Original Investigation BACKGROUND: Integrated analyses of plasma proteomic and genetic markers in prospective studies can clarify the causal relevance of proteins and discover novel targets for ischemic heart disease (IHD) and other diseases. OBJECTIVES: The purpose of this study was to examine associations of proteomics and genetics data with IHD in population studies to discover novel preventive treatments. METHODS: We conducted a nested case-cohort study in the China Kadoorie Biobank (CKB) involving 1,971 incident IHD cases and 2,001 subcohort participants who were genotyped and free of prior cardiovascular disease. We measured 1,463 proteins in the stored baseline samples using the OLINK EXPLORE panel. Cox regression yielded adjusted HRs for IHD associated with individual proteins after accounting for multiple testing. Moreover, cis-protein quantitative loci (pQTLs) identified for proteins in genome-wide association studies of CKB and of UK Biobank were used as instrumental variables in separate 2-sample Mendelian randomization (MR) studies involving global CARDIOGRAM+C4D consortium (210,842 IHD cases and 1,378,170 controls). RESULTS: Overall 361 proteins were significantly associated at false discovery rate <0.05 with risk of IHD (349 positively, 12 inversely) in CKB, including N-terminal prohormone of brain natriuretic peptide and proprotein convertase subtilisin/kexin type 9. Of these 361 proteins, 212 had cis-pQTLs in CKB, and MR analyses of 198 variants in CARDIOGRAM+C4D identified 13 proteins that showed potentially causal associations with IHD. Independent MR analyses of 307 cis-pQTLs identified in Europeans replicated associations for 4 proteins (FURIN, proteinase-activated receptor-1, Asialoglycoprotein receptor-1, and matrix metalloproteinase-3). Further downstream analyses showed that FURIN, which is highly expressed in endothelial cells, is a potential novel target and matrix metalloproteinase-3 a potential repurposing target for IHD. CONCLUSIONS: Integrated analyses of proteomic and genetic data in Chinese and European adults provided causal support for FURIN and multiple other proteins as potential novel drug targets for treatment of IHD. Elsevier Biomedical 2023-11-14 /pmc/articles/PMC10641761/ /pubmed/37940228 http://dx.doi.org/10.1016/j.jacc.2023.09.804 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Investigation
Mazidi, Mohsen
Wright, Neil
Yao, Pang
Kartsonaki, Christiana
Millwood, Iona Y.
Fry, Hannah
Said, Saredo
Pozarickij, Alfred
Pei, Pei
Chen, Yiping
Avery, Daniel
Du, Huaidong
Schmidt, Dan Valle
Yang, Ling
Lv, Jun
Yu, Canqing
Chen, Junshi
Hill, Michael
Holmes, Michael V.
Howson, Joanna M.M.
Peto, Richard
Collins, Rory
Bennett, Derrick A.
Walters, Robin G.
Li, Liming
Clarke, Robert
Chen, Zhengming
Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title_full Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title_fullStr Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title_full_unstemmed Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title_short Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease
title_sort plasma proteomics to identify drug targets for ischemic heart disease
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641761/
https://www.ncbi.nlm.nih.gov/pubmed/37940228
http://dx.doi.org/10.1016/j.jacc.2023.09.804
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