Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development.
Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development.
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DOI:
10.1038/s41467-023-44680-3
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发表时间:
2024-01-15
影响因子:
16.6
通讯作者:
Yu, Bing
中科院分区:
文献类型:
--
作者:
Shah, Amil M.;Myhre, Peder L.;Arthur, Victoria;Dorbala, Pranav;Rasheed, Humaira;Buckley, Leo F.;Claggett, Brian;Liu, Guning;Ma, Jianzhong;Nguyen, Ngoc Quynh;Matsushita, Kunihiro;Ndumele, Chiadi;Tin, Adrienne;Hveem, Kristian;Jonasson, Christian;Dalen, Havard;Boerwinkle, Eric;Hoogeveen, Ron C.;Ballantyne, Christie;Coresh, Josef;Omland, Torbjorn;Yu, Bing
Heart failure (HF) causes substantial morbidity and mortality but its pathobiology is incompletely understood. The proteome is a promising intermediate phenotype for discovery of novel mechanisms. We measured 4877 plasma proteins in 13,900 HF-free individuals across three analysis sets with diverse age, geography, and HF ascertainment to identify circulating proteins and protein networks associated with HF development. Parallel analyses in Atherosclerosis Risk in Communities study participants in mid-life and late-life and in Trøndelag Health Study participants identified 37 proteins consistently associated with incident HF independent of traditional risk factors. Mendelian randomization supported causal effects of 10 on HF, HF risk factors, or left ventricular size and function, including matricellular (e.g. SPON1, MFAP4), senescence-associated (FSTL3, IGFBP7), and inflammatory (SVEP1, CCL15, ITIH3) proteins. Protein co-regulation network analyses identified 5 modules associated with HF risk, two of which were influenced by genetic variants that implicated trans hotspots within the VTN and CFH genes. The pathobiology of heart failure (HF) is incompletely understood. The authors identify 37 circulating proteins and 5 protein modules associated with HF risk, with several demonstrating causal effects on HF, risk factors, or cardiac dysfunction by Mendelian randomization analysis.
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影响因子:
20.1
作者:
Clemitson JR;Dixon RJ;Haines S;Bingham AJ;Patel BR;Hall L;Lo M;Sassard J;Charchar FJ;Samani NJ
通讯作者:
Samani NJ
影响因子:
3.7
作者:
Gold L;Ayers D;Bertino J;Bock C;Bock A;Brody EN;Carter J;Dalby AB;Eaton BE;Fitzwater T;Flather D;Forbes A;Foreman T;Fowler C;Gawande B;Goss M;Gunn M;Gupta S;Halladay D;Heil J;Heilig J;Hicke B;Husar G;Janjic N;Jarvis T;Jennings S;Katilius E;Keeney TR;Kim N;Koch TH;Kraemer S;Kroiss L;Le N;Levine D;Lindsey W;Lollo B;Mayfield W;Mehan M;Mehler R;Nelson SK;Nelson M;Nieuwlandt D;Nikrad M;Ochsner U;Ostroff RM;Otis M;Parker T;Pietrasiewicz S;Resnicow DI;Rohloff J;Sanders G;Sattin S;Schneider D;Singer B;Stanton M;Sterkel A;Stewart A;Stratford S;Vaught JD;Vrkljan M;Walker JJ;Watrobka M;Waugh S;Weiss A;Wilcox SK;Wolfson A;Wolk SK;Zhang C;Zichi D
通讯作者:
Zichi D
影响因子:
17.1
作者:
Finan C;Gaulton A;Kruger FA;Lumbers RT;Shah T;Engmann J;Galver L;Kelley R;Karlsson A;Santos R;Overington JP;Hingorani AD;Casas JP
通讯作者:
Casas JP
影响因子:
3.8
作者:
Bracun, Valentina;van Essen, Bart;Voors, Adriaan A.;van Veldhuisen, Dirk J.;Dickstein, Kenneth;Zannad, Faiez;Metra, Marco;Anker, Stefan;Samani, Nilesh J.;Ponikowski, Piotr;Filippatos, Gerasimos;Cleland, John G. F.;Lang, Chim C.;Ng, Leong L.;Shi, Canxia;de Wit, Sanne;Msallem, Joseph P. About;Meijers, Wouter C.;Klip, IJsbrand T.;van der Meer, Peter;de Boer, Rudolf A.
通讯作者:
de Boer, Rudolf A.
DOI:
10.1161/circheartfailure.115.002978
发表时间:
2016-08
期刊:
Circulation. Heart failure
影响因子:
--
作者:
Bello NA;Cheng S;Claggett B;Shah AM;Ndumele CE;Roca GQ;Santos AB;Gupta D;Vardeny O;Aguilar D;Folsom AR;Butler KR;Kitzman DW;Coresh J;Solomon SD
通讯作者:
Solomon SD