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Background and Aims: Primary aldosteronism (PA) is an adrenal disorder of autonomous aldosterone secretion which promotes arterial injury. We aimed to explore whether PA is causally associated with lower-extremity arterial disease (LEAD). Methods: We included 39,713 patients with diabetes and 419,312 participants without diabetes from UK Biobank. We derived a polygenic risk score (PRS) for PA based on previous genome-wide association studies (GWAS). Outcomes included LEAD and LEAD related gangrene or amputation. We conducted a two-sample Mendelian randomization analysis for PA and outcomes to explore their potential causal relationship. Results: In whole population, individuals with a higher PA PRS had an increased risk of LEAD. Among patients with diabetes, compared to the subjects in the first tertile of PA PRS, subjects in the third tertile showed a 1.24-fold higher risk of LEAD (OR 1.24, 95% CI 1.03–1.49) and a 2.09-fold higher risk of gangrene (OR 2.09, 95% CI 1.27–3.44), and 1.72-fold higher risk of amputation (OR 1.72, 95% CI 1.10–2.67). Among subjects without diabetes, there was no significant association between PA PRS and LEAD, gangrene or amputation. Two-sample Mendelian randomization analysis indicated that genetically predictors of PA was significantly associated with higher risks of LEAD and gangrene (inverse variance weighted OR 1.20 [95% CI 1.08–1.34]) for LEAD, 1.48 [95% CI 1.28–1.70] for gangrene), with no evidence of significant heterogeneity or directional pleiotropy. Conclusions: Primary aldosteronism is genetically and causally associated with higher risks of LEAD and gangrene, especially among patients with diabetes. Targeting on the autonomous aldosterone secretion may prevent LEAD progression. [ABSTRACT FROM AUTHOR]

Background: Individuals in the workplace are exposed to various environments, tasks, and schedules. Previous studies have indicated a link between occupational exposures and an increased risk of chronic kidney disease (CKD). However, the social conditions of the work environment may also be a crucial contributing factor to CKD. Furthermore, individuals may encounter multiple occupational-related risk factors simultaneously, underscoring the importance of investigating the joint risk of different working conditions on CKD. Methods: A prospective analysis of 65,069 UK Biobank participants aged 40 to 69 years without CKD at baseline (2006–2010) was performed. A self-administered questionnaire assessed working conditions and a working conditions risk score were developed. Participants who answered "sometimes" or "often" exposure to occupational heat or occupational secondhand cigarette smoke; involved in shift work or heavy workloads ("usually" or "always"), were grouped as high-risk working conditions. Each working condition was scored as 1 if grouped as high-risk, and 0 if not. The working conditions risk score was equal to the sum of these four working conditions. Cox proportional hazard regression models were used to estimate the associations between working conditions and CKD incidence. Results: The mean follow-up time was 6.7 years. After adjusting for demographic, lifestyle, and working time factors, the hazard ratios for the development of CKD for heavy workloads, shift work, occupational secondhand cigarette smoke exposure, and occupational heat exposure were 1.24 (95%CI = 1.03, 1.51), 1.33 (95%CI = 1.10, 1.62), 1.13 (95%CI = 1.01, 1.26), 1.11 (95%CI = 0.99, 1.24), respectively. The risk of CKD was found to be significantly associated with an increasing working conditions risk score. Individuals with a working conditions risk score of 4 had an 88.0% (95% CI = 1.05, 3.35) higher risk of developing CKD when compared to those with a working conditions risk score of 0. Conclusions: Adverse working conditions, particularly when considered in combination, can significantly elevate the risk of chronic kidney disease (CKD). These results provide a reference for implementing measures to prevent CKD. [ABSTRACT FROM AUTHOR]

Renin-independent aldosteronism (RIA) describes the spectrum of autonomous aldosterone secretion from mild to overt. We aimed to explore whether RIA is causally associated with chronic kidney disease (CKD) in patients with diabetes. We cross-sectionally included 1027, 402 and 39,709 patients with any type of diabetes from cohorts of EIMDS, CONPASS and UK Biobank, respectively. In EIMDS, we defined RIA and renin-dependent aldosteronism based on plasma aldosterone and renin concentrations. We performed captopril challenge test to confirm renin-dependent or independent aldosteronism in CONPASS. In UK Biobank, we generated genetic instruments for RIA based on the genome-wide association studies (GWAS). We extracted the corresponding single nucleotide polymorphisms (SNPs) information from the GWAS data of CKD in diabetes. We harmonized the SNP-RIA and SNP-CKD data to conduct the two-sample Mendelian randomization analyses. In EIMDS and CONPASS, when compared to subjects with normal aldosterone concentration or renin-dependent aldosteronism, participants with RIA had a lower estimated glomerular filtration rate, a higher prevalence of CKD, and a higher multivariate-adjusted odds ratio (OR) of CKD (OR 2.62 [95%CI 1.09–6.32] in EIMDS, and 4.31 [1.39–13.35] in CONPASS). The two-sample Mendelian randomization analysis indicated that RIA was significantly associated with a higher risk of CKD (inverse variance weighted OR 1.10 [95 % CI 1.05–1.14]), with no evidence of significant heterogeneity or substantial directional pleiotropy. Among patients with diabetes, renin-independent aldosteronism is causally associated with a higher risk of CKD. Targeted treatment of autonomous aldosterone secretion may benefit renal function in diabetes. • Diabetic patients with RIA had a higher risk of CKD compared to normal aldosterone or renin-dependent aldosteronism. • Two-sample Mendelian randomization analysis indicated that RIA was causally associated with CKD in diabetic patients. • Targeted treatment of autonomous aldosterone secretion may benefit renal function in diabetic patients. [ABSTRACT FROM AUTHOR]

The association between fat mass and mortality has been equivocally shown to be linear, J-shaped, and U-shaped. We aimed to clarify this relationship based on Mendelian randomization (MR) analysis and lifestyle modification. This prospective analysis included 449,831 participants from UK Biobank. Linear MR analysis was used to estimate the linear relationship between fat mass and mortality. We assessed whole body fat mass by bioimpedance analysis at baseline and categorized subjects into five equal groups based on fat mass index (FMI). The association between FMI and mortality were investigated among whole population and in subgroups stratified by individual lifestyle factors, including diet, physical activity, smoking, alcohol, sleep and psychological health. Linear MR analyses indicated a positive association between genetically predicted fat mass and all-cause mortality (HR 1.10, 95 % CI 1.08–1.12, P < 0.001). The association between FMI and all-cause mortality was manifested as J-shaped (HRs across FMI categories: 1.04, 1.00, 1.07, 1.21, 1.54), which was significantly modified by the number of low-risk lifestyle factors (P for interaction<0.001). When evaluating individual lifestyle factors, we observed a nonlinear relationship between FMI and all-cause mortality among participants who had high-risk lifestyle factors, while a linear relationship was observed among participants who had low-risk lifestyle factors, especially for those with adequate physical activity (HRs across FMI categories: 0.95, 1.00, 1.05, 1.17, 1.44) and who never smoked (0.96, 1.00, 1.03, 1.14, 1.51). Genetically determined fat mass is causally and linearly associated with mortality. The J-shape association between anthropometric FMI and mortality is caused by high-risk lifestyle factors. [Display omitted] • Mendelian randomization analyses indicated a causal association between genetically determined fat mass and mortality. • The association between anthropometric fat mass and all-cause mortality was manifested as J-shaped. • The elevated risk of mortality observed in people with low fat mass was modified by a high-risk lifestyle. [ABSTRACT FROM AUTHOR]