Siqi Wang, Ilja M Nolte, Dion Groothof, Hailun Qin, Stephan J L Bakker, Pim van der Harst, Harold Snieder
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引用次数: 0
Abstract
Aims: Sodium-glucose cotransporter-2 (SGLT2) inhibitors are agents originally developed as glucose-lowering drugs but now widely used to improve cardiorenal outcomes, including in patients with heart failure and chronic kidney disease regardless of diabetes status. However, their exact mode of action remains unclear. Here, we investigated the association of loss-of-function (LoF) and other rare coding variants in the SLC5A2 gene, as a genetic model of altered SGLT2 function, with 13 cardiometabolic and renal traits and clinical outcomes.
Methods and results: A total of 442 570 European ancestry participants from the UK Biobank with exome sequence and phenotype data were included. We applied SAIGE-GENE+ for gene-based and single-variant association tests in the full study population and in individuals with heart failure, renal failure, and type 2 diabetes (T2D). A total of 52 LoF variants in SLC5A2 were identified. Rare variants in SLC5A2 were associated with decreased uric acid (PCauchy = 4.98 × 10-13) and with increased haematocrit (PCauchy = 1.67 × 10-5), haemoglobin (PCauchy = 1.60 × 10-5), and estimated glomerular filtration rate (PCauchy = 9.88 × 10-4). One frameshift variant (rs267607067) was significantly associated with increased haemoglobin (β = 0.33 [95% CI 0.15-0.51]; P-value = 2.40 × 10-4) and another (rs768095044) with decreased uric acid (β = -0.31 [95% CI -0.49 to -0.13]; P-value = 4.22 × 10-4). In patients with T2D, the rare variants within SLC5A2 were also associated with a lower probability of having heart failure (PCauchy = 4.00 × 10-4).
Conclusion: Rare genetic variants in SLC5A2 were associated with increased haemoglobin and decreased uric acid. These variants were also associated with a lower probability of heart failure among participants with T2D, providing tentative genetic support for a cardioprotective effect of SGLT2 inhibition.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.