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

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 di...

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Autores principales: Rhee, Sang Youl, Jung, Eun Sung, Suh, Dong Ho, Jeong, Su Jin, Kim, Kiyoung, Chon, Suk, Yu, Seung-Young, Woo, Jeong-Taek, Lee, Choong Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102569/
https://www.ncbi.nlm.nih.gov/pubmed/33958610
http://dx.doi.org/10.1038/s41598-021-88104-y
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author Rhee, Sang Youl
Jung, Eun Sung
Suh, Dong Ho
Jeong, Su Jin
Kim, Kiyoung
Chon, Suk
Yu, Seung-Young
Woo, Jeong-Taek
Lee, Choong Hwan
author_facet Rhee, Sang Youl
Jung, Eun Sung
Suh, Dong Ho
Jeong, Su Jin
Kim, Kiyoung
Chon, Suk
Yu, Seung-Young
Woo, Jeong-Taek
Lee, Choong Hwan
author_sort Rhee, Sang Youl
collection PubMed
description 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.
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spelling pubmed-81025692021-05-10 Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema Rhee, Sang Youl Jung, Eun Sung Suh, Dong Ho Jeong, Su Jin Kim, Kiyoung Chon, Suk Yu, Seung-Young Woo, Jeong-Taek Lee, Choong Hwan Sci Rep Article 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. Nature Publishing Group UK 2021-05-06 /pmc/articles/PMC8102569/ /pubmed/33958610 http://dx.doi.org/10.1038/s41598-021-88104-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rhee, Sang Youl
Jung, Eun Sung
Suh, Dong Ho
Jeong, Su Jin
Kim, Kiyoung
Chon, Suk
Yu, Seung-Young
Woo, Jeong-Taek
Lee, Choong Hwan
Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102569/
https://www.ncbi.nlm.nih.gov/pubmed/33958610
http://dx.doi.org/10.1038/s41598-021-88104-y
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