Novel risk score model for non-proliferative diabetic retinopathy based on untargeted metabolomics of venous blood

Wang，Xinyu1,2; Yang，Shu1,3,4; Yang，Guangyan1,3,4; Lin，Jialong5; Zhao，Pengfei1; Ding，Jingyun6; Sun，Hongyan7; Meng，Ting7; Yang，Ming Ming3,4,7; Kang，Lin1,3,4,8; Liang，Zhen1,3,4

2023

10.3389/fendo.2023.1180415

Frontiers in Endocrinology   Impact Factor & Quartile

1664-2392

1664-2392

Background and Purpose: Nonproliferative diabetic retinopathy (NPDR) occurs in the early stages of Diabetic retinopathy (DR), and the study of its metabolic markers will help to prevent DR. Hence, we aimed to establish a risk score based on multiple metabolites through untargeted metabolomic analysis of venous blood from NPDR patients and diabetic non-DR patients. Experimental Approach: Untargeted metabolomics of venous blood samples from patients with NPDR, diabetes melitus without DR were performed using high-performance liquid chromatography-mass spectrometry. Results: Detailed metabolomic evaluation showed distinct clusters of metabolites in plasma samples from patients with NPDR and diabetic non-DR patients. NPDR patients had significantly higher levels of phenylacetylglycine, L-aspartic acid, tiglylglycine, and 3-sulfinato-L-alaninate, and lower level of indolelactic acid, threonic acid, L-arginine (Arg), and 4-dodecylbenzenesulfonic acid compared to control. The expression profiles of these eight NPDR risk-related characteristic metabolites were analyzed using Cox regression to establish a risk score model. Subsequently, univariate and multivariate Cox regression analyses were used to determine that this risk score model was a predictor of independent prognosis for NPDR. Conclusions: Untargeted metabolome analysis of blood metabolites revealed unreported metabolic alterations in NPDR patients compared with those in diabetic non-DR patients or MH. In the venous blood, we identified depleted metabolites thA and Arg, indicating that they might play a role in NPDR development.

diabetic retinopathy (DR) nonproliferative diabetic retinopathy (NPDR) risk score untargeted metabolomics venous blood

SCI

English

First ; Corresponding

This work was supported by grants from the National Natural Science Foundation of China (82000824 to SY, 82170842 to ZL, and 82171556 to LK), the Natural Science Foundation of Shenzhen City, China to ZL (No. KCXFZ20201221173600001), the National Key Resear["82170842","82171556","KCXFZ20201221173600001"] ; National Natural Science Foundation of China[2018YFC2001100] ; null[82000824]

Endocrinology & Metabolism

Endocrinology & Metabolism

WOS:001057960500001

FRONTIERS MEDIA SA

2-s2.0-85169681206

Scopus

1.Department of Geriatrics,Shenzhen People’s Hospital,The Second Clinical Medical College,Jinan University,The First Affiliated Hospital,Southern University of Science and Technology,Shenzhen,China
2.Department of Nephrology,The First People's Hospital of Yunnan Province,The Affiliated Hospital of Kunming University of Science and Technology,Kunming,China
3.Guangdong Provincial Clinical Research Center for Geriatrics,Shenzhen Clinical Research Center for Geriatrics,Shenzhen People’s Hospital,The Second Clinical Medical College,Jinan University,Shenzhen,China
4.The First Affiliated Hospital,Southern University of Science and Technology),Shenzhen,China
5.Department of Cardiovascular Medicine,The Fourth Affiliated Hospital of Guangzhou Medical University,Zengcheng District People’s Hospital of Guangzhou,Guangzhou,China
6.Department of Geriatric,Shenzhen Second People’s Hospital,First Affiliated Hospital of Shenzhen University,Shenzhen,China
7.Department of Ophthalmology,Shenzhen People’s Hospital,The Second Clinical Medical College,Jinan University,The First Affiliated Hospital,Southern University of Science and Technology,Shenzhen,China
8.The Biobank of National Innovation Center for Advanced Medical Devices,Shenzhen People’s Hospital,Shenzhen,China

Wang，Xinyu,Yang，Shu,Yang，Guangyan,et al. Novel risk score model for non-proliferative diabetic retinopathy based on untargeted metabolomics of venous blood[J]. Frontiers in Endocrinology,2023,14.

Wang，Xinyu.,Yang，Shu.,Yang，Guangyan.,Lin，Jialong.,Zhao，Pengfei.,...&Liang，Zhen.(2023).Novel risk score model for non-proliferative diabetic retinopathy based on untargeted metabolomics of venous blood.Frontiers in Endocrinology,14.

Wang，Xinyu,et al."Novel risk score model for non-proliferative diabetic retinopathy based on untargeted metabolomics of venous blood".Frontiers in Endocrinology 14(2023).