Abstract
Background
Myopia is one of the major eye disorders and the global burden is increasing rapidly. Our purpose is to systematically summarize potential metabolic biomarkers and pathways in myopia to facilitate the understanding of disease mechanisms as well as the discovery of novel therapeutic measures.
Methods
Myopia-related metabolomics studies were searched in electronic databases of PubMed and Web of Science until June 2021. Information regarding clinical and demographic characteristics of included studies and metabolomics findings were extracted. Myopia-related metabolic pathways were analysed for differential metabolic profiles, and the quality of included studies was assessed based on the QUADOMICS tool. Pathway analyses of differential metabolites were performed using bioinformatics tools and online software such as the Metaboanalyst 5.0.
Results
The myopia-related metabolomics studies included in this study consisted of seven human and two animal studies. The results of the study quality assessment showed that studies were all phase I studies and all met the evaluation criteria of 70% or more. The myopia-control serum study identified 23 differential metabolites with the Sphingolipid metabolism pathway beings enriched. The high myopia-cataract aqueous humour study identified 40 differential metabolites with the Arginine biosynthesis pathway being enriched. The high myopia-control serum study identified 43 differential metabolites and 4 pathways were significantly associated with metabolites including Citrate cycle; Alanine, aspartate and glutamate metabolism; Glyoxylate and dicarboxylate metabolism; Biosynthesis of unsaturated fatty acids (all P value < 0.05).
Conclusions
This study summarizes potential metabolic biomarkers and pathways in myopia, providing new clues to elucidate disease mechanisms.
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Funding
This study was supported by the National Key R&D Program of China (2021YFC2702100, 2021YFC2702103, and 2021YFC2702104), the National Natural Science Foundation of China (82122059 and 81973061), the Tang Scholar of Soochow University, and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
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Conception or design of the work: XWH. Data collection: XWH and YW. Data analysis and interpretation: XWH and CK. Article drafting: XWH and YW. Critical revision of the article: CK and CWP. Final approval of the version to be published: XWH, YW, CK, and CWP.
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Hou, XW., Wang, Y., Ke, C. et al. Metabolomics facilitates the discovery of metabolic profiles and pathways for myopia: A systematic review. Eye 37, 670–677 (2023). https://doi.org/10.1038/s41433-022-02019-0
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DOI: https://doi.org/10.1038/s41433-022-02019-0
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