Department of Endocrinology, the First Affiliated Hospital of Xi'an JiaoTong University, No.277, West Yanta Road, Xi'an, Shaanxi, 710061, P.R. China.
BGI-SHENZHEN, No. 21 Hongan 3rd Street, Yantian District, Shenzhen, Guangdong, 518083, P.R. China.
J Transl Med. 2024 May 13;22(1):448. doi: 10.1186/s12967-024-05274-9.
The duration of type 2 diabetes mellitus (T2DM) and blood glucose levels have a significant impact on the development of T2DM complications. However, currently known risk factors are not good predictors of the onset or progression of diabetic retinopathy (DR). Therefore, we aimed to investigate the differences in the serum lipid composition in patients with T2DM, without and with DR, and search for potential serological indicators associated with the development of DR.
A total of 622 patients with T2DM hospitalized in the Department of Endocrinology of the First Affiliated Hospital of Xi'an JiaoTong University were selected as the discovery set. One-to-one case-control matching was performed according to the traditional risk factors for DR (i.e., age, duration of diabetes, HbA1c level, and hypertension). All cases with comorbid chronic kidney disease were excluded to eliminate confounding factors. A total of 42 pairs were successfully matched. T2DM patients with DR (DR group) were the case group, and T2DM patients without DR (NDR group) served as control subjects. Ultra-performance liquid chromatography-mass spectrometry (LC-MS/MS) was used for untargeted lipidomics analysis on serum, and a partial least squares discriminant analysis (PLS-DA) model was established to screen differential lipid molecules based on variable importance in the projection (VIP) > 1. An additional 531 T2DM patients were selected as the validation set. Next, 1:1 propensity score matching (PSM) was performed for the traditional risk factors for DR, and a combined 95 pairings in the NDR and DR groups were successfully matched. The screened differential lipid molecules were validated by multiple reaction monitoring (MRM) quantification based on mass spectrometry.
The discovery set showed no differences in traditional risk factors associated with the development of DR (i.e., age, disease duration, HbA1c, blood pressure, and glomerular filtration rate). In the DR group compared with the NDR group, the levels of three ceramides (Cer) and seven sphingomyelins (SM) were significantly lower, and one phosphatidylcholine (PC), two lysophosphatidylcholines (LPC), and two SMs were significantly higher. Furthermore, evaluation of these 15 differential lipid molecules in the validation sample set showed that three Cer and SM(d18:1/24:1) molecules were substantially lower in the DR group. After excluding other confounding factors (e.g., sex, BMI, lipid-lowering drug therapy, and lipid levels), multifactorial logistic regression analysis revealed that a lower abundance of two ceramides, i.e., Cer(d18:0/22:0) and Cer(d18:0/24:0), was an independent risk factor for the occurrence of DR in T2DM patients.
Disturbances in lipid metabolism are closely associated with the occurrence of DR in patients with T2DM, especially in ceramides. Our study revealed for the first time that Cer(d18:0/22:0) and Cer(d18:0/24:0) might be potential serological markers for the diagnosis of DR occurrence in T2DM patients, providing new ideas for the early diagnosis of DR.
2 型糖尿病(T2DM)的病程和血糖水平对 T2DM 并发症的发展有显著影响。然而,目前已知的风险因素并不能很好地预测糖尿病视网膜病变(DR)的发病或进展。因此,我们旨在研究 T2DM 患者中血清脂质成分的差异,包括无 DR 和有 DR 的患者,并寻找与 DR 发展相关的潜在血清学指标。
选择西安交通大学第一附属医院内分泌科住院的 622 例 T2DM 患者作为发现集。根据 DR 的传统危险因素(即年龄、糖尿病病程、HbA1c 水平和高血压)进行 1:1 病例对照匹配。排除所有合并慢性肾脏病的病例,以消除混杂因素。共成功匹配了 42 对。将有 DR(DR 组)的 T2DM 患者作为病例组,无 DR(NDR 组)的 T2DM 患者作为对照组。采用超高效液相色谱-质谱联用(LC-MS/MS)对血清进行非靶向脂质组学分析,并建立偏最小二乘判别分析(PLS-DA)模型,根据投影重要性(VIP)>1 筛选差异脂质分子。另外选择了 531 例 T2DM 患者作为验证集。接下来,对 DR 的传统危险因素进行 1:1 倾向评分匹配(PSM),成功匹配了 NDR 和 DR 组的 95 对。基于质谱的多重反应监测(MRM)定量验证筛选出的差异脂质分子。
发现集在与 DR 发生相关的传统危险因素方面无差异(即年龄、病程、HbA1c、血压和肾小球滤过率)。与 NDR 组相比,DR 组三种神经酰胺(Cer)和七种神经鞘磷脂(SM)水平显著降低,一种磷脂酰胆碱(PC)、两种溶血磷脂酰胆碱(LPC)和两种 SM 水平显著升高。此外,在验证样本集中评估这 15 种差异脂质分子时,DR 组中三种神经酰胺和 SM(d18:1/24:1)分子明显降低。排除其他混杂因素(如性别、BMI、降脂药物治疗和血脂水平)后,多因素逻辑回归分析显示,两种神经酰胺Cer(d18:0/22:0)和 Cer(d18:0/24:0)的丰度降低是 T2DM 患者发生 DR 的独立危险因素。
脂质代谢紊乱与 T2DM 患者 DR 的发生密切相关,尤其是神经酰胺。本研究首次揭示,Cer(d18:0/22:0)和 Cer(d18:0/24:0)可能是 T2DM 患者 DR 发生的潜在血清学标志物,为 DR 的早期诊断提供了新的思路。