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
Yu, Bing
中科院分区:
综合性期刊1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

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心力衰竭(HF)导致大量的发病率和死亡率,但其病理学尚不完全清楚。蛋白质组是发现新机制的有前途的中间表型。我们测量了 13,900 名无心力衰竭个体的 4877 种血浆蛋白,涉及三个分析集,这些分析集具有不同的年龄、地理位置和心力衰竭确定,以识别与心力衰竭发展相关的循环蛋白和蛋白质网络。社区动脉粥样硬化风险研究的中年和晚年参与者以及特伦德拉格健康研究参与者的并行分析确定了 37 种与心力衰竭事件相关的蛋白质,与传统风险因素无关。孟德尔随机化支持 10 对心力衰竭、心力衰竭危险因素或左心室大小和功能的因果影响,包括基质细胞蛋白(例如 SPON1、MFAP4)、衰老相关蛋白(FSTL3、IGFBP7)和炎症蛋白(SVEP1、CCL15、ITIH3)。蛋白质共调控网络分析确定了 5 个与心力衰竭风险相关的模块,其中两个受到涉及 VTN 和 CFH 基因内反式热点的遗传变异的影响。心力衰竭(HF)的病理学尚不完全清楚。作者确定了与心力衰竭风险相关的 37 种循环蛋白和 5 个蛋白模块,其中几种通过孟德尔随机分析证明了对心力衰竭、危险因素或心脏功能障碍的因果影响。
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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发表时间: 2007-04-13
影响因子: 20.1
作者:
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期刊: PloS one
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发表时间: 2017-03-29
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DOI: 10.1002/ehf2.14120
发表时间: 2022-12
期刊: ESC HEART FAILURE
影响因子: 3.8
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DOI: 10.1161/circheartfailure.115.002978
发表时间: 2016-08
期刊: Circulation. Heart failure
影响因子: --
作者:
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