ArticleInternational journal of molecular sciences2024
Glycoprotein Acetyls Is a Novel Biomarker Predicting Cardiovascular Complications in Rheumatoid Arthritis.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Effect of 2 Weeks of Time-Restricted Eating on Innate Immunity and Systemic Inflammation in Patients With a History of Myocardial Infarction: A Randomized-Controlled Crossover Study.Journal of the American Heart Association · 2026Trial
- Multi-omic modelling of body mass index response to a dietary weight loss intervention.Gut microbes · 2026Article
- Review
- The Natural History of Prediabetes and Cardiovascular Disease in the Pediatric Population.Biomedicines · 2026Review
- Metabolic-epigenetic rewiring in rheumatoid arthritis: from pathogenic memory to precision restoration.Frontiers in immunology · 2026Review
- Mediterranean diet, metabolic signature, genetic predisposition, and risk of rheumatoid arthritis: a large-scale population-based prospective cohort study.The American journal of clinical nutrition · 2025Article
- Metabolomic Biomarkers Are Independently Associated With Secondary Adverse Cardiovascular Events in Patients With Coronary Artery Disease.Journal of the American Heart Association · 2025Article
- Special Issue "Atherosclerosis 2: From Molecular Mechanisms and Pathophysiology to Novel Therapeutic Approaches".International journal of molecular sciences · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
The relationship between rheumatoid arthritis (RA) and early onset atherosclerosis is well depicted, each with an important inflammatory component. Glycoprotein acetyls (GlycA), a novel biomarker of inflammation, may play a role in the manifestation of these two inflammatory conditions. The present study examined a potential mediating role of GlycA within the RA-atherosclerosis relationship to determine whether it accounts for the excess risk of cardiovascular disease over that posed by lipid risk factors. The UK Biobank dataset was acquired to establish associations among RA, atherosclerosis, GlycA, and major lipid factors: total cholesterol (TC), high- and low-density lipoprotein (HDL, LDL) cholesterol, and triglycerides (TGs). Genome-wide association study summary statistics were collected from various resources to perform genetic analyses. Causality among variables was tested using Mendelian Randomization (MR) analysis. Genes of interest were identified using colocalization analysis and gene enrichment analysis. MR results appeared to indicate that the genetic relationship between GlycA and RA and also between RA and atherosclerosis was explained by horizontal pleiotropy (
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