Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.
Diabetes Care. 2021 Sep;44(9):2098-2106. doi: 10.2337/dc21-0737. Epub 2021 Jul 8.
Patients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D.
In a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m per year decline in estimated glomerular filtration rate (eGFR), while control was defined as <1 mL/min/1.73 m per year decline over a minimum 4-year follow-up. Lipids were quantified in baseline serum samples using a targeted mass spectrometry lipidomic platform.
At individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m. A multilipid panel consisting of unsaturated FFAs and saturated PE-Ps predicted rapid eGFR decline better than individual lipids (C-statistic, 0.71) and improved the C-statistic of the clinical model from 0.816 to 0.841 ( = 0.039). Observations were confirmed in the validation subset.
Distinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids' glycerol backbone as an independent predictor of rapid GFR decline in T1D.
1 型糖尿病(T1D)患者的血脂异常程度适中,可通过传统指标进行测量。本研究旨在确定脂质组学预测 T1D 患者肾功能快速下降的指标。
在一项病例对照研究中,将来自三个大型队列的 817 名 T1D 患者随机分为训练集和验证集。病例定义为 eGFR 每年下降>3 mL/min/1.73 m,而对照组定义为 eGFR 每年下降<1 mL/min/1.73 m,随访时间至少为 4 年。使用靶向质谱脂质组学平台在基线血清样本中定量测定脂质。
在个体脂质中,游离脂肪酸(FFA)20:2 与快速 eGFR 下降呈直接相关,而磷脂酰胆碱(PC)16:0/22:6 与快速 eGFR 下降呈负相关且独立相关。按脂质类别检查时,快速 eGFR 下降的特征是具有不饱和酰基链的 sn1 碳的不饱和 FFAs、磷脂酰乙醇胺(PE)-Ps 和 PCs 的丰度较高,具有不饱和酰基链的 sn1 碳的饱和 FFAs、较长的三酰基甘油以及 PCs、PEs、PE-Ps 和 PE-Os 的丰度较低,eGFR≥90 mL/min/1.73 m。由不饱和 FFAs 和饱和 PE-Ps 组成的多脂质组预测快速 eGFR 下降的效果优于单个脂质(C 统计量为 0.71),并将临床模型的 C 统计量从 0.816 提高到 0.841(=0.039)。在验证集中得到了验证。
与之前报道的 2 型糖尿病 GFR 下降的预测因子不同,这些发现表明,在 T1D 中,甘油磷脂 sn1 碳上的 FFA 不同程度地掺入作为快速 GFR 下降的独立预测因子。