Clinical serum lipidomic profiling revealed potential lipid biomarkers for early diabetic retinopathy
文献类型： 外文期刊
作者： Sun, Wen 1 ; Su, Miaomiao 3 ; Zhuang, Lvyun 3 ; Ding, Yujun 3 ; Zhang, Qianhui 3 ; Lyu, Daizhu 3 ;
作者机构： 1.Hainan Prov Hosp Tradit Chinese Med, Ophthalmol, Haikou 571100, Peoples R China
2.Hainan Med Coll, Affiliated Chinese Med Hosp, Ophthalmol, Haikou 571100, Peoples R China
3.Chinese Acad Trop Agr Sci, Anal & Testing Ctr, Haikou 571101, Peoples R China
关键词： Diabetic retinopathy; Non-proliferative diabetic retinopathy; Lipid markers; Lipidomics; Targeted proteomics
期刊名称：SCIENTIFIC REPORTS （ 影响因子：3.8； 五年影响因子：4.3 ）
ISSN： 2045-2322
年卷期： 2024 年 14 卷 1 期
页码：
收录情况： SCI
摘要： Diabetic retinopathy (DR) is a serious complication of diabetes featuring abnormal lipid metabolism. However, the specific lipid molecules associated with onset and progression remain unclear. We used a broad-targeted lipidomics approach to assess the lipid changes that occur before the proliferative retinopathy stage and to identify novel lipid biomarkers to distinguish between patients without DR (NDR) and with non-proliferative DR (NPDR). Targeted lipomics analysis was carried out on serum samples from patients with type I diabetes, including 20 NDRs and 20 NPDRs. The results showed that compared with the NDR group, 102 lipids in the NPDR group showed specific expressions. Four lipid metabolites including TAG58:2-FA18:1 were obtained using the Least Absolute Shrink And Selection Operator (LASSO) and Support Vector Machine Recursive Feature Elimination (SVM-RFE) methods. The four-lipid combination diagnostic models showed good predictive ability in both the discovery and validation sets, and were able to distinguish between NDR patients and NPDR patients. The identified lipid markers significantly improved diagnostic accuracy within the NPDR group. Our findings help to better understand the complexity and individual differences of DR lipid metabolism.
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