Glycoprotein Acetyls Is a Novel Biomarker Predicting Cardiovascular Complications in Rheumatoid Arthritis.

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 (p-value = 0.001 and <0.001, respectively), while GlycA may causally predict atherosclerosis (p-value = 0.017). Colocalization analysis revealed several functionally relevant genes shared between GlycA and all the variables assessed. Two loci were apparent in all relationships tested and included the HLA region as well as SLC22A1. GlycA appears to mediate the RA-atherosclerosis relationship through several possible pathways. GlycA, although pleiotropically related to RA, appears to causally predict atherosclerosis. Thus, GlycA is suggested as a significant factor in the etiology of atherosclerosis development in RA.

A mediation analysis of metabolic and inflammatory factors in the severe sleep apnea-coronary heart disease association.

BACKGROUND: It is unclear whether metabolic and inflammatory factors mediate the association between severe sleep apnea and coronary heart disease (CHD) in observational studies based on the large-scale population. This study aims to assess the association between severe sleep apnea and CHD and to explore the extent to which this association is mediated by metabolic factors and C-reactive protein (CRP). METHODS: In UK Biobank, 213 442 CHD-free (mean age: 55.00) adults were followed up for 15 years to detect incident CHD. Metabolic factors included hyperglycemia, hypertension, dyslipidemia, hypertriglyceridemia, and hyperuricemia. A higher CRP concentration level was defined as a cutoff point of >3.0 mg/l. Data were analyzed using Cox proportional hazards models and the generalized structural equation model. RESULTS: During follow-up, 9278 participants developed incident CHD (4.3%). The multi-adjusted hazard ratio and 95% confidence interval of CHD related to severe sleep apnea were 1.76 (1.44-2.15). In the mediation analysis, the strongest indirect association was for dyslipidemia, accounting for 20.8% of the association between severe sleep apnea and CHD (ß = 0.22, 95% confidence interval = 0.16-0.28), followed by hypertriglyceridemia (12.3%). The proportion of mediation increased to 29.1% when CRP was added to the metabolic mediators. CONCLUSIONS: Severe sleep apnea was associated with an increased risk of CHD. Lipid factors might play an essential role in the severe sleep apnea-CHD relationship. CRP increased the magnitude of mediation effects of overall metabolic factors. What is already known on this topic It is unknown whether the association between severe sleep apnea and CHD among the large population-based cohort study. Evidence on the mediating effect of metabolic and inflammatory factors in the severe sleep apnea-CHD association remains unclear. What this study adds Lipid factors were the biggest mediation driver in the severe sleep apnea-CHD path. C-reactive protein increased the magnitude of mediation effects of overall metabolic factors. How this study might affect research, practice or policy Investigating mediation analyses not only enhances comprehension of the pathophysiological connection between severe sleep apnea and CHD but also offers valuable insights into preventing CHD.