Journal of diabetes · 2025
Genetically Predicted Frailty Index Is Associated With Increased Risk of Multiple Metabolic Diseases: 175 226 European Participants in a Mendelian Randomization Study.
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Wang Hexing, Zhang Haifeng, Tang Dongliang, Yao Yinshuang, Qiu Junlan, Shu Xiaochen
Аннотация
BACKGROUND: A relationship between frailty index (FI) and metabolic diseases (MDs) has been reported in previous observational studies. However, the causality between them remains unclear. This study aimed to examine the causal effect of FI on MDs.
METHODS: We performed a bidirectional two-sample Mendelian randomization (MR) study. A recent large-scale genome-wide association study (GWAS) provided available data associated with FI, and summary statistics on eight MDs were collected from the IEU OpenGWAS database. Inverse variance weighted (IVW) was used as the main analysis to estimate causal effects, together with MR pleiotropy residual sum and outlier (MR-PRESSO), MR-Egger, Cochran's Q test, pleiotropy test, leave-one-out method, and MR Steiger analysis were used in the sensitivity analyses.
RESULTS: Our MR study demonstrated for the first time that elevated FI was causally associated with an increased risk of MDs including obesity (odds ratio [OR] = 1.78; 95% confidence interval [CI]: 1.17-2.70; p = 0.0075), T2DM (OR = 1.67; 95% CI: 1.24-2.24; p = 6.95 × 10-4), gout (OR = 2.45; 95% CI: 1.29-4.64; p = 0.006), hypothyroidism (OR = 1.96; 95% CI: 1.47-2.60; p = 3.47 × 10-6), and HTN (OR = 2.17; 95% CI: 1.72-2.74; p = 5.25 × 10-11). However, no causal association was found between FI and osteoporosis, vitamin D deficiency, and hyperthyroidism.
CONCLUSIONS: Our findings support a causal relationship between FI and multiple MDs. This is crucial for the prevention of associated MDs in patients with frailty.
METHODS: We performed a bidirectional two-sample Mendelian randomization (MR) study. A recent large-scale genome-wide association study (GWAS) provided available data associated with FI, and summary statistics on eight MDs were collected from the IEU OpenGWAS database. Inverse variance weighted (IVW) was used as the main analysis to estimate causal effects, together with MR pleiotropy residual sum and outlier (MR-PRESSO), MR-Egger, Cochran's Q test, pleiotropy test, leave-one-out method, and MR Steiger analysis were used in the sensitivity analyses.
RESULTS: Our MR study demonstrated for the first time that elevated FI was causally associated with an increased risk of MDs including obesity (odds ratio [OR] = 1.78; 95% confidence interval [CI]: 1.17-2.70; p = 0.0075), T2DM (OR = 1.67; 95% CI: 1.24-2.24; p = 6.95 × 10-4), gout (OR = 2.45; 95% CI: 1.29-4.64; p = 0.006), hypothyroidism (OR = 1.96; 95% CI: 1.47-2.60; p = 3.47 × 10-6), and HTN (OR = 2.17; 95% CI: 1.72-2.74; p = 5.25 × 10-11). However, no causal association was found between FI and osteoporosis, vitamin D deficiency, and hyperthyroidism.
CONCLUSIONS: Our findings support a causal relationship between FI and multiple MDs. This is crucial for the prevention of associated MDs in patients with frailty.