Open AccessMultiplatform Metabolomics Reveals Novel Serum Metabolite Biomarkers in Diabetic Retinopathy Subjects
Author(s) -
Xuan Qiuhui,
Ouyang Yang,
Wang Yanfeng,
Wu Liang,
Li Huating,
Luo Yuanyuan,
Zhao Xinjie,
Feng Disheng,
Qin Wangshu,
Hu Chunxiu,
Zhou Lina,
Liu Xinyu,
Zou Haidong,
Cai Chun,
Wu Jiarui,
Jia Weiping,
Xu Guowang
Publication year - 2020
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202001714
Subject(s) - metabolomics , diabetic retinopathy , medicine , biomarker , metabolite , diabetes mellitus , biomarker discovery , stage (stratigraphy) , diagnostic biomarker , blindness , disease , bioinformatics , endocrinology , diagnostic accuracy , biology , biochemistry , optometry , paleontology , gene , proteomics
Diabetic retinopathy (DR) is the main cause of vision loss or blindness in working age adults worldwide. The lack of effective diagnostic biomarkers for DR leads to unsatisfactory curative treatments. To define potential metabolite biomarkers for DR diagnosis, a multiplatform‐based metabolomics study is performed. In this study, a total of 905 subjects with diabetes without DR (NDR) and with DR at different clinical stages are recruited. Multiplatform metabolomics methods are used to characterize the serum metabolic profiles and to screen and validate the DR biomarkers. Based on the criteria p < 0.05 and false‐discovery rate < 0.05, 348 and 290 metabolites are significantly associated with the pathogenesis of DR and early‐stage DR, respectively. The biomarker panel consisting of 12‐hydroxyeicosatetraenoic acid (12‐HETE) and 2‐piperidone exhibited better diagnostic performance than hemoglobin A1c (HbA1c) in differentiating DR from diabetes, with AUCs of 0.946 versus 0.691 and 0.928 versus 0.648 in the discovery and validation sets, respectively. In addition, this panel showed higher sensitivity in early‐stage DR detection than HbA1c. In conclusion, this multiplatform‐based metabolomics study comprehensively revealed the metabolic dysregulation associated with DR onset and progression. The defined biomarker panel can be used for detection of DR and early‐stage DR.