Metabolic fingerprinting on retinal pigment epithelium thickness for individualized risk stratification of type 2 diabetes mellitus

Shaopeng Yang, Zhuoting Zhu, Shida Chen, Yixiong Yuan, Mingguang He () and Wei Wang ()
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Shaopeng Yang: Sun Yat-sen University
Zhuoting Zhu: Royal Victorian Eye and Ear Hospital
Shida Chen: Sun Yat-sen University
Yixiong Yuan: Sun Yat-sen University
Mingguang He: Sun Yat-sen University
Wei Wang: Sun Yat-sen University

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract The retina is an important target organ of diabetes mellitus, with increasing evidence from patients and animal models suggesting that retinal pigment epithelium (RPE) may serve as an early marker for diabetes-related damages. However, their longitudinal relationship and the biological underpinnings remain less well understood. Here, we demonstrate that reduced in vivo measurements of RPE thickness (RPET) represents a significant risk factor for future type 2 diabetes mellitus (T2DM) and its microvascular phenotypes. After performing systematic analyses of circulating plasma metabolites using two complementary approaches, we identify a wide range of RPET metabolic fingerprints that are independently associated with reduced RPET. These fingerprints hold their potential to improve predictability and clinical utility for stratifying future T2DM and related microvascular phenotypes beyond traditional clinical indicators, providing insights into the promising role of retinas as a window to systemic health.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42404-1

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DOI: 10.1038/s41467-023-42404-1

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