Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema

Abstract 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 pro...

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Autores principales: Sang Youl Rhee, Eun Sung Jung, Dong Ho Suh, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/dd2757cb624c4114b187c47f7b61ce35
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spelling oai:doaj.org-article:dd2757cb624c4114b187c47f7b61ce352021-12-02T14:29:09ZPlasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema10.1038/s41598-021-88104-y2045-2322https://doaj.org/article/dd2757cb624c4114b187c47f7b61ce352021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88104-yhttps://doaj.org/toc/2045-2322Abstract 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.Sang Youl RheeEun Sung JungDong Ho SuhSu Jin JeongKiyoung KimSuk ChonSeung-Young YuJeong-Taek WooChoong Hwan LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Sang Youl Rhee
Eun Sung Jung
Dong Ho Suh
Su Jin Jeong
Kiyoung Kim
Suk Chon
Seung-Young Yu
Jeong-Taek Woo
Choong Hwan Lee
Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
description Abstract 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.
format article
author Sang Youl Rhee
Eun Sung Jung
Dong Ho Suh
Su Jin Jeong
Kiyoung Kim
Suk Chon
Seung-Young Yu
Jeong-Taek Woo
Choong Hwan Lee
author_facet Sang Youl Rhee
Eun Sung Jung
Dong Ho Suh
Su Jin Jeong
Kiyoung Kim
Suk Chon
Seung-Young Yu
Jeong-Taek Woo
Choong Hwan Lee
author_sort Sang Youl Rhee
title Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title_short Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title_full Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title_fullStr Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title_full_unstemmed Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title_sort plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/dd2757cb624c4114b187c47f7b61ce35
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