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Proteomics of JHS samples identifies proteins associated with heart failure

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NIAID Data Ecosystem2026-03-10 收录
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https://www.omicsdi.org/dataset/pride/PXD009870
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RELEVANCE: Identifying early plasma protein biomarkers that predict the development of heart failure (HF) following myocardial infarction (MI) will help to stratify at risk subjects and provide insight into more effective therapeutic strategies. OBJECTIVE/HYPOTHESIS: The goal of this study was to determine markers of HF in African Americans, using plasma samples collected before the development of symptoms. We propose that early plasma glycoprotein changes will link to later development of heart failure. ApolipoproteinF will be the strongest indicator. METHODS: Plasma samples from a subset of Jackson Heart Study participants with a history of MI but without prevalent heart failure (HF) at visit 2 (2005-2008) were analyzed by glycoproteomics. Individuals were grouped into those who experienced subsequent HF hospitalization after visit 2 (n=15; 3 men/ 12 women) and those without HF hospitalization through 2012 (n=45; 24 men/ 21 women). N-linked plasma glycopeptides were quantified by solid-phase extraction coupled to mass spectrometry and identified using RefSeq and SwissProt. Proteins were mapped for biological processes and functional pathways using Ingenuity Pathway Analysis (IPA) and linked to clinical characteristics.
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2018-08-30
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