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Identification of the Metabolic Signature of Aging Retina.
Mu, Wan; Han, Xiaoyan; Tong, Ming; Ben, Shuai; Yao, Mudi; Zhao, Ya; Xia, Jiao; Ren, Ling; Huang, Chang; Li, Duo; Li, Xiumiao; Jiang, Qin; Yan, Biao.
Affiliation
  • Mu W; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Han X; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Tong M; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Ben S; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yao M; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhao Y; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xia J; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ren L; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Huang C; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
  • Li D; The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, China.
  • Li X; The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, China.
  • Jiang Q; The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, China.
  • Yan B; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Transl Vis Sci Technol ; 13(8): 8, 2024 Aug 01.
Article in En | MEDLINE | ID: mdl-39102240
ABSTRACT

Purpose:

This study aims to explore the metabolic signature of aging retina and identify the potential metabolic biomarkers for the diagnosis of retinal aging.

Methods:

Retinal samples were collected from both young (two months) and aging (14 months) mice to conduct an unbiased metabolic profiling. Liquid chromatography-tandem mass spectrometry analysis was conducted to screen for the metabolic biomarkers and altered signaling pathways associated with retinal aging.

Results:

We identified 166 metabolites differentially expressed between young and aged retinas using a threshold of orthogonal projection to latent structures discriminant analysis variable importance in projection >1 and P < 0.05. These metabolites were significantly enriched in several metabolic pathways, including purine metabolism, citrate cycle, phenylalanine, tyrosine and tryptophan biosynthesis, glycerophospholipid metabolism, and alanine, aspartate and glutamate metabolism. Among these significantly enriched pathways, glycerophospholipid metabolites emerged as promising candidates for retinal aging biomarkers. We assessed the potential of these metabolites as biomarkers through an analysis of their sensitivity and specificity, determined by the area under the receiver-operating characteristic (ROC) curves. Notably, the metabolites like PC (150/226), PC (170/141), LPC (P-160), PE (160/204), and PS (170/161) demonstrated superior performance in sensitivity, specificity, and accuracy in predicting retinal aging.

Conclusions:

This study sheds light on the molecular mechanisms underlying retinal aging by identifying distinct metabolic profiles and pathways. These findings provide a valuable foundation for developing future clinical applications in diagnosing, identifying, and treating age-related retinal degeneration. Translational Relevance This study sheds light on novel metabolic profiles and biomarkers in aging retinas, potentially paving the way for targeted interventions in preventing, diagnosing, and treating age-related retinal degeneration and other retinal diseases.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retina / Aging / Biomarkers / Tandem Mass Spectrometry / Mice, Inbred C57BL Limits: Animals Language: En Journal: Transl Vis Sci Technol Year: 2024 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retina / Aging / Biomarkers / Tandem Mass Spectrometry / Mice, Inbred C57BL Limits: Animals Language: En Journal: Transl Vis Sci Technol Year: 2024 Document type: Article Affiliation country: China Country of publication: United States