PDF(Pubmed)
Abstract：
UNASSIGNED: The onset and progression of chronic kidney disease (CKD) has been linked to metabolic syndrome (MetS), with the results of recent observational studies supporting a potential link between renal failure and MetS. The causal nature of this relationship, however, remains uncertain. This study thus leveraged a Mendelian Randomization (MR) approach to probe the causal link of MetS with renal failure.
UNASSIGNED: A genetic database was initially used to identify SNPs associated with MetS and components thereof, after which causality was evaluated through the inverse variance weighted (IVW), MR-Egger regression, and weighted media techniques. Results were subsequently validated through sensitivity analyses.
UNASSIGNED: IVW (OR = 1.48, 95% CI = 1.21-1.82, P =1.60E-04) and weighted median (OR = 1.58, 95% CI =1.15-2.17, P = 4.64E-03) analyses revealed that MetS was linked to an elevated risk of renal failure. When evaluating the specific components of MetS, waist circumference was found to be causally related to renal failure using the IVW (OR= 1.58, 95% CI = 1.39-1.81, P = 1.74e-11), MR-Egger (OR= 1.54, 95% CI = 1.03-2.29, P = 0.036), and weighted median (OR= 1.82, 95% CI = 1.48-2.24, P = 1.17e-8). The IVW method also revealed a causal association of hypertension with renal failure (OR= 1.95, 95% CI = 1.34-2.86, P = 5.42e-04), while renal failure was not causally related to fasting blood glucose, triglyceride levels, or HDL-C levels.
UNASSIGNED: These data offer further support for the existence of a causal association of MetS with kidney failure. It is thus vital that MetS be effectively managed in patients with CKD in clinical settings, particularly for patients with hypertension or a high waist circumference who are obese. Adequate interventions in these patient populations have the potential to prevent or delay the development of renal failure.
UNASSIGNED: A genetic database was initially used to identify SNPs associated with MetS and components thereof, after which causality was evaluated through the inverse variance weighted (IVW), MR-Egger regression, and weighted media techniques. Results were subsequently validated through sensitivity analyses.
UNASSIGNED: IVW (OR = 1.48, 95% CI = 1.21-1.82, P =1.60E-04) and weighted median (OR = 1.58, 95% CI =1.15-2.17, P = 4.64E-03) analyses revealed that MetS was linked to an elevated risk of renal failure. When evaluating the specific components of MetS, waist circumference was found to be causally related to renal failure using the IVW (OR= 1.58, 95% CI = 1.39-1.81, P = 1.74e-11), MR-Egger (OR= 1.54, 95% CI = 1.03-2.29, P = 0.036), and weighted median (OR= 1.82, 95% CI = 1.48-2.24, P = 1.17e-8). The IVW method also revealed a causal association of hypertension with renal failure (OR= 1.95, 95% CI = 1.34-2.86, P = 5.42e-04), while renal failure was not causally related to fasting blood glucose, triglyceride levels, or HDL-C levels.
UNASSIGNED: These data offer further support for the existence of a causal association of MetS with kidney failure. It is thus vital that MetS be effectively managed in patients with CKD in clinical settings, particularly for patients with hypertension or a high waist circumference who are obese. Adequate interventions in these patient populations have the potential to prevent or delay the development of renal failure.
摘要：
■慢性肾脏病（CKD）的发病和进展与代谢综合征（MetS）有关，最近的观察性研究结果支持肾衰竭和MetS之间的潜在联系。这种关系的因果关系，然而,仍然不确定。因此，这项研究利用孟德尔随机化（MR）方法来探索MetS与肾衰竭的因果关系。
■最初使用遗传数据库来鉴定与MetS及其组成部分相关的SNP，之后，通过逆方差加权(IVW)评估因果关系，MR-Egger回归，和加权媒体技术。结果随后通过敏感性分析进行验证。
■IVW（OR=1.48，95％CI=1.21-1.82，P=1.60E-04）和加权中位数（OR=1.58，95％CI=1.15-2.17，P=4.64E-03）分析显示，MetS与肾衰竭风险升高有关。在评估MetS的特定组件时，使用IVW发现腰围与肾功能衰竭有因果关系（OR=1.58，95％CI=1.39-1.81，P=1.74e-11），MR-Egger(OR=1.54,95%CI=1.03-2.29,P=0.036),加权中位数(OR=1.82，95%CI=1.48-2.24，P=1.17e-8)。IVW方法还揭示了高血压与肾衰竭的因果关系（OR=1.95，95％CI=1.34-2.86，P=5.42e-04），虽然肾功能衰竭与空腹血糖没有因果关系，甘油三酯水平，或HDL-C水平。
■这些数据为MetS与肾衰竭的因果关系的存在提供了进一步的支持。因此，在临床环境中，对CKD患者进行有效的MetS管理至关重要。特别是肥胖的高血压或高腰围患者。在这些患者人群中进行适当的干预有可能预防或延迟肾衰竭的发展。
■最初使用遗传数据库来鉴定与MetS及其组成部分相关的SNP，之后，通过逆方差加权(IVW)评估因果关系，MR-Egger回归，和加权媒体技术。结果随后通过敏感性分析进行验证。
■IVW（OR=1.48，95％CI=1.21-1.82，P=1.60E-04）和加权中位数（OR=1.58，95％CI=1.15-2.17，P=4.64E-03）分析显示，MetS与肾衰竭风险升高有关。在评估MetS的特定组件时，使用IVW发现腰围与肾功能衰竭有因果关系（OR=1.58，95％CI=1.39-1.81，P=1.74e-11），MR-Egger(OR=1.54,95%CI=1.03-2.29,P=0.036),加权中位数(OR=1.82，95%CI=1.48-2.24，P=1.17e-8)。IVW方法还揭示了高血压与肾衰竭的因果关系（OR=1.95，95％CI=1.34-2.86，P=5.42e-04），虽然肾功能衰竭与空腹血糖没有因果关系，甘油三酯水平，或HDL-C水平。
■这些数据为MetS与肾衰竭的因果关系的存在提供了进一步的支持。因此，在临床环境中，对CKD患者进行有效的MetS管理至关重要。特别是肥胖的高血压或高腰围患者。在这些患者人群中进行适当的干预有可能预防或延迟肾衰竭的发展。
