Renal failure · 2025
Metformin and risk factors for chronic kidney disease in a European population based on Mendelian randomization.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Liu Xiaopei, Li Xingyao, An Peng, Gao Qi, Zhao Yanhong, Shi Xingmin, Wu Xili
Аннотация
BACKGROUND: Metformin, widely used for type 2 diabetes, raises concerns about its use in chronic kidney disease (CKD) due to risks like lactic acidosis and renal function impact. This study uses Mendelian randomization (MR) and summary data-based MR (SMR) to explore metformin's potential causal relationship with CKD and associated genes.
METHODS: We employed MR methods (MR-Egger, weighted median, IVW) and sensitivity analyses to explore the causal relationship between metformin and CKD. SMR was used to analyze eQTL and CKD data from the UK Biobank and FinnGen, intersecting these with metformin drug targets to identify genes associated with CKD.
RESULTS: MR analysis indicated that metformin may increase CKD risk (IVW model: OR = 144.67, p < 0.01). However, given the high OR value, additional studies are warranted to validate this finding. SMR identified genes ANPEP, STK11, ACACB, and RPS6KB as significantly associated with CKD risk.
CONCLUSION: The study suggests metformin could elevate CKD risk and identifies relevant genes. Clinicians should exercise caution when prescribing metformin, particularly for patients with renal issues. Further research is needed to confirm these findings and guide clinical practices.
METHODS: We employed MR methods (MR-Egger, weighted median, IVW) and sensitivity analyses to explore the causal relationship between metformin and CKD. SMR was used to analyze eQTL and CKD data from the UK Biobank and FinnGen, intersecting these with metformin drug targets to identify genes associated with CKD.
RESULTS: MR analysis indicated that metformin may increase CKD risk (IVW model: OR = 144.67, p < 0.01). However, given the high OR value, additional studies are warranted to validate this finding. SMR identified genes ANPEP, STK11, ACACB, and RPS6KB as significantly associated with CKD risk.
CONCLUSION: The study suggests metformin could elevate CKD risk and identifies relevant genes. Clinicians should exercise caution when prescribing metformin, particularly for patients with renal issues. Further research is needed to confirm these findings and guide clinical practices.