👤 Line Dufresne

Conventional statistical approaches are not designed to compare highly correlated variables such as low-density lipoprotein cholesterol (LDL-C), non-high density lipoprotein cholesterol (non-HDL-C), and apolipoprotein B (apoB). Discordance analysis was designed to overcome this limitation by creating groups in which the predictions of 2 markers differ. This systematic review compiled all discordance studies that compare the predictive powers of LDL-C and non-HDL-C vs LDL particle number (LDL P) or apoB as markers of atherosclerotic disease risk to determine which is the most accurate marker of cardiovascular risk. A PubMed search completed September 30, 2024, identified 15 studies involving 593,354 participants. These studies encompassed diverse populations, and included patients with and without statin therapy. Several variations of discordance analysis were used including median-based, percentile-based, residual-based, and variance-based approaches. ApoB outperformed LDL-C in 9 of 9 studies whereas LDL P was superior to LDL-C in 2 of 3 comparisons. In 1 study, non-HDL-C was superior to apoB, in 1 study apoB and non-HDL-C were equivalent, whereas in 7 studies, apoB, overall, was a significantly more accurate marker of atherosclerotic cardiovascular disease risk than non-HDL-C. Discordance analysis provides robust evidence that apoB is a more accurate marker of cardiovascular risk than either LDL-C or non-HDL-C, notwithstanding these variables are highly intercorrelated. Thus, neither LDL-C nor non-HDL-C are adequate clinical surrogates for apoB. Accordingly, apoB should be the primary measure in clinical care to estimate the cardiovascular risk attributable to the apoB lipoproteins and the adequacy of lipid-lowering therapy to reduce this risk. Show less

Recent observational and Mendelian randomization analyses have reported significant effects of VLDL-C (very-low density lipoprotein cholesterol) on risk that is independent of ApoB (apolipoprotein B). We aim to determine the independent association of VLDL-C and ApoB with the risk of new onset cardiovascular events in the UK Biobank and Framingham Heart Study cohorts. We included 294 289 UK Biobank participants with a median age of 56 years, 42% men, and 2865 Framingham Heart Study participants (median age, 53 years; 47% men). The residual resulting from regressing VLDL-C on ApoB expresses the portion of VLDL-C not explained by ApoB, while the residual from regressing ApoB on VLDL-C expresses the portion of ApoB not explained by VLDL-C. Cox proportional hazards models for atherosclerotic cardiovascular disease incidence were created for residual VLDL-C and residual ApoB. Models were analyzed with and without high-density lipoprotein cholesterol (HDL-C). Furthermore, we investigated the independent effects of VLDL-C after accounting for ApoB and HDL-C and of HDL-C after accounting for ApoB and VLDL-C. In the UK Biobank, ApoB was highly correlated with VLDL-C (r=0.70; When adjusted for HDL-C, the association of VLDL-C with cardiovascular risk was no longer clinically meaningful. Our residual discordance analysis suggests that adjustment for HDL-C cannot be ignored. Show less

Lp(a) (lipoprotein[a]) is an independent risk factor for cardiovascular diseases and plasma levels are primarily determined by variation at the In a large-scale genome-wide association study of Lp(a) levels, we identified Show less

Aortic stenosis (AS) has no approved medical treatment. Identifying etiological pathways for AS could identify pharmacological targets. To identify novel genetic loci and pathways associated with AS. This genome-wide association study used a case-control design to evaluate 44 703 participants (3469 cases of AS) of self-reported European ancestry from the Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort (from January 1, 1996, to December 31, 2015). Replication was performed in 7 other cohorts totaling 256 926 participants (5926 cases of AS), with additional analyses performed in 6942 participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Follow-up biomarker analyses with aortic valve calcium (AVC) were also performed. Data were analyzed from May 1, 2017, to December 5, 2019. Genetic variants (615 643 variants) and polyunsaturated fatty acids (ω-6 and ω-3) measured in blood samples. Aortic stenosis and aortic valve replacement defined by electronic health records, surgical records, or echocardiography and the presence of AVC measured by computed tomography. The mean (SD) age of the 44 703 GERA participants was 69.7 (8.4) years, and 22 019 (49.3%) were men. The rs174547 variant at the FADS1/2 locus was associated with AS (odds ratio [OR] per C allele, 0.88; 95% CI, 0.83-0.93; P = 3.0 × 10-6), with genome-wide significance after meta-analysis with 7 replication cohorts totaling 312 118 individuals (9395 cases of AS) (OR, 0.91; 95% CI, 0.88-0.94; P = 2.5 × 10-8). A consistent association with AVC was also observed (OR, 0.91; 95% CI, 0.83-0.99; P = .03). A higher ratio of arachidonic acid to linoleic acid was associated with AVC (OR per SD of the natural logarithm, 1.19; 95% CI, 1.09-1.30; P = 6.6 × 10-5). In mendelian randomization, increased FADS1 liver expression and arachidonic acid were associated with AS (OR per unit of normalized expression, 1.31 [95% CI, 1.17-1.48; P = 7.4 × 10-6]; OR per 5-percentage point increase in arachidonic acid for AVC, 1.23 [95% CI, 1.01-1.49; P = .04]; OR per 5-percentage point increase in arachidonic acid for AS, 1.08 [95% CI, 1.04-1.13; P = 4.1 × 10-4]). Variation at the FADS1/2 locus was associated with AS and AVC. Findings from biomarker measurements and mendelian randomization appear to link ω-6 fatty acid biosynthesis to AS, which may represent a therapeutic target. Show less