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Given expanding studies in epidemiology and disease-oriented human studies offering hundreds of associations between the human "ome" and disease, prioritizing molecules relevant to disease mechanisms among this growing breadth is important. Here, we link the circulating proteome to human heart failure (HF) propensity (via echocardiographic phenotyping and clinical outcomes) across the lifespan, demonstrating key pathways of fibrosis, inflammation, metabolism, and hypertrophy. We observe a broad array of genes encoding proteins linked to HF phenotypes and outcomes in clinical populations dynamically expressed at a transcriptional level in human myocardium during HF and cardiac recovery (several in a cell-specific fashion). Many identified targets do not have wide precedent in large-scale genomic discovery or human studies, highlighting the complementary roles for proteomic and tissue transcriptomic discovery to focus epidemiological targets to those relevant in human myocardium for further interrogation.
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http://dx.doi.org/10.1016/j.xcrm.2024.101704 | DOI Listing |
J Clin Periodontol
September 2025
Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany.
Background And Objective: Periodontitis is a chronic inflammatory disease driven by immune dysfunction and microbial imbalance. This study aims to identify circulating druggable proteins causally linked to the disease.
Materials And Methods: We integrated proteomics data from deCODE genetics with periodontitis genome-wide association studies (GWAS) from the Million Veteran Program to identify proteins associated with periodontitis.
J Am Heart Assoc
September 2025
Institute for Clinical Diabetology, German Diabetes Center Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf Düsseldorf Germany.
Background: We sought to investigate the association between circulating inflammatory and cardiovascular proteomics biomarkers and cardiac autonomic nervous dysfunction-sensitive heart rate variability indices.
Methods: Using the population-based KORA (Cooperative Health Research in the Region of Augsburg) cohort, 233 proteomics biomarkers were quantified in baseline plasma samples of 1389 individuals using proximity extension assay technology. Five heart rate variability indices (Rényi entropy of the histogram with order [α] 4, total power of the density spectra, SD of word sequence, SD of the short-term normal-to-normal interval variability, compression entropy) were assessed at baseline in 982 individuals and in 407 individuals at baseline and at 14-year follow-up.
Biol Psychiatry
September 2025
Department of Psychiatry, University of Iowa, Iowa City, IA 52242; Iowa Neurosciences Institute, University of Iowa, Iowa City, IA 52242; Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA 52242. Electronic address:
Perinatal mood and anxiety disorders (PMADs) are a spectrum of mental health conditions that are the most common pregnancy-related complications in the United States. Despite great strides in developing appropriate pharmacological and psychological treatments, PMADs continue to lack biological measures for diagnosis and prediction. Such measures could be effectively utilized to subtype and mechanistically explore PMADs and appropriately leverage mental healthcare resources.
View Article and Find Full Text PDFClin Nutr
August 2025
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background & Aims: Circulating proteins are integral to many biological processes and could be influenced by diet. We aimed to assess differences in the plasma proteome between people of different dietary groups, defined by degree of animal food consumption.
Methods: The UK Biobank recruited middle-aged adults (mostly 40-69 years) throughout the UK between 2006 and 2010.
PLoS One
September 2025
Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
The fourth leading cause of death in the US, Chronic Obstructive Pulmonary Disease (COPD) is punctuated by frequent viral and bacterial infections causing severe acute exacerbations (AECOPD) and increased mortality. In previous work we have shown that altered immune cell signaling may confer increased and persistent susceptibility to infection. Here we continue this investigation by conducting broad-spectrum proteomic profiling of circulating white blood cells to assemble an empirical protein-protein interaction network associated with frequency of infectious exacerbation.
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