Association between Systemic Lupus Erythematosus and Coronary Heart Disease: a retrospective case-control analysis and Mendelian Randomization Study
Chen, J.; Tian, J.; Wang, W.; Zhou, S.; Zhang, L.; Jiang, W.; Cai, M.; Zhang, P.; Xu, T.; Wu, M.
Show abstract
ObjectivesTo appraise the causal effect of systemic lupus erythematosus (SLE) for risk of Coronary heart disease (CHD). MethodsWe selected single nucleotide polymorphisms (SNPs) associated with SLE as instrumental variables (IVs) from three independent genome-wide association studies (GWAS), the three largest to date for SLE of European ancestry. Then we conducted two-sample Mendelian randomization (2SMR) analyses to estimate the effects of IVs on the odds of CHD and traditional coronary risk factors (including high LDL cholesterol levels, low HDL cholesterol levels, Apolipoprotein A-I, Apolipoprotein B, diabetes mellitus, and hypertension). Additionally, we searched for common risk loci between SLE and premature coronary atherosclerosis. Furthermore, we retrospectively reviewed the lipid profile of treatment-naive SLE patients and age-matched healthy controls. ResultsGenetically predicted SLE did not increase the odds of CHD. Nevertheless, we found mild causal relationships between SLE and decreased HDL cholesterol levels, and between SLE and decreased apolipoprotein A-I. There was one common risk locus (rs597808) between SLE and premature coronary atherosclerosis at a genome-wide significance level (P<5 x 10-8). Retrospective analysis showed decreased HDL-cholesterol (0.98{+/-}0.516mmol/L vs. 1.46{+/-}0.307mmol/L in female, 0.76{+/-}0.199mmol/L vs. 1.19{+/-}0.257mmol/L in male; both P<0.001) and apolipoprotein A-I (1.06{+/-}0.314g/L vs. 1.37{+/-}0.205g/L in female, 0.87{+/-}0.174g/L vs. 1.24{+/-}0.200g/L in male; both P<0.001) in naive SLE patients. ConclusionSLE may accelerate coronary atherosclerosis in young patients by reducing HDL cholesterol and apolipoprotein A-I intrinsically, but it seems not to play a predominant role in CHD development in old patients.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Using serum metabolomics analysis to predict sub-clinical atherosclerosis in patients with SLE 94%
- Carotid intima-media thickness in UK Biobank: Identification of novel genome-wide loci, sex-specific effects and genetic correlations with obesity and glucometabolic traits. 92%
- Trimethylamine-N-oxide affects cell type-specific pathways and networks in mouse aorta to promote atherosclerotic plaque vulnerability 91%
Similar papers in this journal
- The impact of education inequality on rheumatoid arthritis risk is mediated by smoking and body mass index: mendelian randomization study 90%
- Trust in the attending rheumatologist, health-related hope, and medication adherence among Japanese patients with systemic lupus erythematosus: the TRUMP 2 -SLE project 90%
- Different Covid-19 Outcomes Among Systemic Rheumatic Diseases: A Nation-wide Cohort Study 89%
Similar papers in this journal
- Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participants 93%
- Intersections between copper, β-arrestin-1, calcium, FBXW7, CD17, insulin resistance and atherogenicity mediate depression and anxiety due to type 2 diabetes mellitus: a nomothetic network approach 90%
- White blood cells and severe COVID-19: a Mendelian randomization study 90%
Similar papers in this journal
- Genetic analysis of asymptomatic antinuclear antibody production 90%
- Lowering of circulating sclerostin may increase risk of atherosclerosis and its risk factors: evidence from a genome-wide association meta-analysis followed by Mendelian randomization 90%
- Activin A-activated ALK4 induces pathogenic Th17 involvement in endothelial–mesenchymal transition in systemic lupus erythematosus-associated pulmonary arterial hypertension 89%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.