Division of Nephrology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97010, Taiwan.
School of Medicine, Tzu Chi University, Hualien 97004, Taiwan.
Nutrients. 2020 Sep 24;12(10):2918. doi: 10.3390/nu12102918.
l-carnitine (LC) is a co-factor in fatty acid metabolism; its role with respect to aortic stiffness (AS) associated with chronic kidney disease (CKD) was unclear. Our aim was to investigate associations between serum LC levels and AS in patients with non-dialysis CKD stage 3-5. The AS patients were those with carotid-femoral pulse wave velocities (cfPWV) >10 m/s; those with cfPWV ≤10 m/s were included as controls. Serum LC was measured by liquid chromatography and mass spectrometry. Of 136 CKD patients, the 44 (32.4%) with AS were older, exhibited higher rates of diabetes, and had elevated diastolic and systolic blood pressures (SBP), elevated fasting glucose levels and lower levels of serum LC compared to controls. Multivariable logistic regression revealed that serum LC (odds ratio [OR] = 0.949, 95% confidence interval [CI] 0.911-0.988, = 0.011) and age (OR = 1.055, 95% CI 1.013-1.099, = 0.009) were independent predictors of AS. Multivariable stepwise linear regression revealed significant positive (age and SBP) and negative (serum LC) correlations with cfPWV. The area under the curve of serum LC as a means to predict AS in CKD patients was 0.657 (95% CI 0.571-0.736, = 0.0009). We concluded that low serum LC is a significant predictor of AS in patients diagnosed with CKD.
左旋肉碱(LC)是脂肪酸代谢的辅助因子;其与慢性肾脏病(CKD)相关的主动脉僵硬(AS)的作用尚不清楚。我们的目的是研究血清 LC 水平与非透析 CKD 3-5 期患者 AS 之间的关系。AS 患者的颈动脉-股动脉脉搏波速度(cfPWV)>10 m/s;cfPWV≤10 m/s 的患者作为对照组。通过液相色谱和质谱法测量血清 LC。在 136 名 CKD 患者中,44 名(32.4%)患有 AS 的患者年龄较大,糖尿病发病率较高,舒张压和收缩压(SBP)升高,空腹血糖水平升高,血清 LC 水平降低与对照组相比。多变量逻辑回归显示,血清 LC(比值比 [OR] = 0.949,95%置信区间 [CI] 0.911-0.988, = 0.011)和年龄(OR = 1.055,95% CI 1.013-1.099, = 0.009)是 AS 的独立预测因子。多变量逐步线性回归显示与 cfPWV 呈显著正相关(年龄和 SBP)和负相关(血清 LC)。血清 LC 作为预测 CKD 患者 AS 的指标,曲线下面积为 0.657(95% CI 0.571-0.736, = 0.0009)。我们得出结论,低血清 LC 是 CKD 患者 AS 的重要预测指标。