Aims Long-term risk stratification and surgical timing remain suboptimal in concomitant aortic and mitral (double) valve surgery. This study sought to examine the predictors, changes, and... Show moreAims Long-term risk stratification and surgical timing remain suboptimal in concomitant aortic and mitral (double) valve surgery. This study sought to examine the predictors, changes, and prognostic implications of right ventricular (RV) remodelling in patients undergoing double-valve surgery. Methods and results In 152 patients undergoing double-valve surgery, four RV remodelling patterns were characterized using transthoracic echocardiography: normal RV size and systolic function (Pattern 1); dilated RV (tricuspid annulus diameter >35 mm) with normal systolic function (Pattern 2); normal RV size with systolic dysfunction (percentage RV fractional area change <35%; Pattern 3); and dilated RV with systolic dysfunction (Pattern 4). The primary endpoint was the composite of heart failure hospitalization and all-cause mortality. Patterns 1, 2, 3, and 4 RV remodelling were present in 41, 20, 23, and 16% of patients, respectively. Patients with Stage 4 RV remodelling had worse renal function, higher EuroSCORE II, and impaired left ventricular ejection fraction. During a 3.7-year median follow up, 45 adverse events occurred. Patterns 3 and 4 RV remodelling were associated with significantly higher adverse event rates compared with Pattern 1 (37 and 75% vs. 11%, P < 0.01) and had incremental prognostic value when added to clinical parameters and EuroSCORE II (chi(2) increased from 30 to 66, P < 0.01). At 1 year after surgery (n = 100), Patterns 3 and 4 RV remodelling had a higher risk of adverse events compared with Pattern 1. Conclusion Right ventricular remodelling was strongly related to adverse outcomes and deserves consideration as part of the risk and decision-making algorithms in double-valve surgery. Show less
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here... Show moreGlycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets. Show less
Glucocorticoids act in part via glucocortocoid receptor binding to hormone response elements (HREs), but their direct target genes in vivo are still largely unknown. We developed the criterion that... Show moreGlucocorticoids act in part via glucocortocoid receptor binding to hormone response elements (HREs), but their direct target genes in vivo are still largely unknown. We developed the criterion that genomic occurrence of paired HREs at an inter-HRE distance less than 200 bp predicts hormone responsiveness, based on synergy of multiple HREs, and HRE information from known target genes. This criterion predicts a substantial number of novel responsive genes, when applied to genomic regions 10 kb upstream of genes. Multiple-tissue in situ hybridization showed that mRNA expression of 6 out of 10 selected genes was induced in a tissue-specific manner in mice treated with a single dose of corticosterone, with the spleen being the most responsive organ. Caveolin-1 was strongly responsive in several organs, and the HRE pair in its upstream region showed increased occupancy by glucocorticoid receptor in response to corticosterone. Our approach allowed for discovery of novel tissue specific glucocorticoid target genes, which may exemplify responses underlying the permissive actions of glucocorticoids. Show less
