Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
Department of Systems Biotechnology, Konkuk University, Seoul, Republic of Korea.
Sci Rep. 2021 May 6;11(1):9727. doi: 10.1038/s41598-021-88104-y.
To investigate the pathophysiologic characteristics of diabetic complications, we identified differences in plasma metabolites in subjects with type 2 diabetes (T2DM) with or without diabetic macular edema (DME) and a disease duration > 15 years. An cohort of older T2DM patients with prolonged disease duration was established, and clinical information and biospecimens were collected following the guidelines of the National Biobank of Korea. DME phenotypes were identified by ophthalmologic specialists. For metabolomics studies, propensity matched case and control samples were selected. To discover multi-biomarkers in plasma, non-targeted metabolite profiling and oxylipin profiling in the discovery cohort were validated in an extended cohort. From metabolomic studies, 5 amino acids (asparagine, aspartic acid, glutamic acid, cysteine, and lysine), 2 organic compounds (citric acid and uric acid) and 4 oxylipins (12-oxoETE, 15-oxoETE, 9-oxoODE, 20-carboxy leukotriene B4) were identified as candidate multi-biomarkers which can guide DME diagnosis among non-DME subjects. Receiver operating characteristic curves revealed high diagnostic value of the combined 5 amino acids and 2 organic compounds (AUC = 0.918), and of the 4 combined oxylipins (AUC = 0.957). Our study suggests that multi-biomarkers may be useful for predicting DME in older T2DM patients.
为了研究糖尿病并发症的病理生理特征,我们鉴定了患有或不患有糖尿病性黄斑水肿(DME)且病程超过 15 年的 2 型糖尿病(T2DM)患者的血浆代谢物差异。我们建立了一个年龄较大的、病程较长的 T2DM 患者队列,并根据韩国国家生物银行的指南收集了临床信息和生物标本。由眼科专家确定 DME 表型。为了进行代谢组学研究,采用倾向性匹配病例和对照样本进行选择。为了在血浆中发现多生物标志物,在发现队列中对非靶向代谢组学和氧化脂谱分析进行了扩展队列的验证。从代谢组学研究中,我们鉴定出 5 种氨基酸(天冬酰胺、天冬氨酸、谷氨酸、半胱氨酸和赖氨酸)、2 种有机化合物(柠檬酸和尿酸)和 4 种氧化脂(12-氧代二十碳三烯酸、15-氧代二十碳三烯酸、9-氧代十八碳二烯酸、20-羧基白三烯 B4),作为可用于指导非 DME 受试者中 DME 诊断的候选多生物标志物。受试者工作特征曲线揭示了 5 种氨基酸和 2 种有机化合物组合(AUC=0.918)以及 4 种氧化脂组合(AUC=0.957)具有较高的诊断价值。我们的研究表明,多生物标志物可能有助于预测老年 T2DM 患者中的 DME。