Huang Huanhuan, Yu Xinyu, Jiang Siqi, Wang Chunni, Chen Zhiyu, Chen Deqing, Yang Xuesen, Zhao Qinghua
The First Affiliated Hospital of Chongqing Medical University, Department of Nursing, Chongqing, China; Chongqing Medical University, School of Nursing, Chongqing, China.
Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Exp Gerontol. 2024 Oct 15;196:112560. doi: 10.1016/j.exger.2024.112560. Epub 2024 Aug 29.
The relationship between serum lipids and sarcopenia remains unclear due to conflicting results in previous studies.
To explore the associations and potential causality between serum lipids, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC), and sarcopenia.
Data from the National Health and Nutrition Examination Survey (NHANES) were analysed using multivariable regression and restricted cubic splines (RCSs) to assess the associations between serum lipids and sarcopenia. Bidirectional Mendelian randomization (MR) was employed to investigate the causal relationships with sarcopenia-related traits such as appendicular lean mass (ALM), hand grip strength, and usual walking pace.
Serum HDL-C and TG levels were inversely associated with ALMBMI, with each 1-unit increase linked to a 0.13 % and 1.32 % decrease, respectively. Elevated TG, but not HDL-C, LDL-C, or TC levels, was significantly associated with an increased risk of sarcopenia (P for trend = 0.001). RCS analysis revealed a log-shaped dose-response relationship between TG and sarcopenia risk (P overall <0.001, P non-linear <0.001), with a cutoff value of 92.75 mg/dL. Genetically predicted HDL-C, LDL-C, and TG were associated with ALM. Conversely, ALM showed an inverse causal relationship with all four serum lipids. Additionally, genetically predicted usual walking pace influenced HDL-C and TG levels (P < 0.001).
The study reveals a nonlinear association between TG levels and sarcopenia risk, and a bidirectional association between lipid profiles and muscle mass, underscoring the need for further research to elucidate these mechanisms.
由于先前研究结果相互矛盾,血清脂质与肌肉减少症之间的关系仍不明确。
探讨血清脂质,包括高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、甘油三酯(TG)和总胆固醇(TC)与肌肉减少症之间的关联及潜在因果关系。
使用多变量回归和受限立方样条(RCS)分析来自美国国家健康与营养检查调查(NHANES)的数据,以评估血清脂质与肌肉减少症之间的关联。采用双向孟德尔随机化(MR)研究与肌肉减少症相关特征,如四肢瘦体重(ALM)、握力和日常步行速度之间的因果关系。
血清HDL-C和TG水平与ALMBMI呈负相关,每增加1个单位分别导致0.13%和1.32%的下降。TG水平升高与肌肉减少症风险增加显著相关,而HDL-C、LDL-C或TC水平升高则无此关联(趋势P=0.001)。RCS分析显示TG与肌肉减少症风险之间呈对数形状的剂量反应关系(总体P<0.001,非线性P<0.001),临界值为92.75mg/dL。基因预测的HDL-C、LDL-C和TG与ALM相关。相反,ALM与所有四种血清脂质呈反向因果关系。此外,基因预测的日常步行速度影响HDL-C和TG水平(P<0.001)。
该研究揭示了TG水平与肌肉减少症风险之间的非线性关联,以及血脂谱与肌肉质量之间的双向关联,强调需要进一步研究以阐明这些机制。