Cardiometabolic drugs and kidney function – a drug target Mendelian randomisation study
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Chronic kidney disease (CKD) is a growing global public health concern. Using drug target Mendelian randomization (MR) approach, we assessed the effects of cardiometabolic drug classes on kidney function indices in the general population.
Method
We leveraged 93 single nucleotide polymorphisms (SNPs) as genetically proxies for targets of antihypertensives (Ca-channel blockers/CCB, beta-blockers/BB, ACE inhibitors/ACEI), lipid-lowering drugs (PCSK9 inhibitors/PCSK9I, statins, NPC1L1 inhibitors/NPC1L1I), and antidiabetics (metformin, SGLT2 inhibitors/SGLT2I, GLP1R agonist/GLP1RA) drugs. Genetic instruments reflected lowering of systolic blood pressure (SBP), LDL cholesterol, and glycated haemoglobin (HbA1c). We used summary statistics from genome-wide association study (GWAS) of log natural annual change of estimate glomerular filtration rate (eGFR) (n=334,339), cross-sectional creatinine- and cystatin-based eGFR, and blood urea nitrogen (BUN) (n=1,201,909) as kidney function outcome. Two-sample MR and sensitivity methods (simple mode, weighted mode, weighted median, and MR Egger) were applied.
Results
The annual change of eGFR was attenuated by genetically proxied PCSK9I (β=0.066 per mmol/L LDL lowering; 95%CI 0.008,0.125). Cross-sectional eGFR crea was increased by CCBs (β=0.006 per 10 mmHg SBP lowering; 95%CI 0.001,0.011), SGLT2I (β=0.024-0.028), MC1 (β=0.022), and GDF15 (β=0.094–0.100) per 6.7 mmol/mol HbA1c lowering. Statins and NPC1L1I may reduce eGFR and SGLT2I may decrease annual eGFR change.
Conclusion
Our findings provided genetic evidence that specific cardiometabolic drug targets influence kidney function in the general population. These insights may guide personalize drug selection to preserve renal function.
