Evidence map›Paper›PMID 42288617›Full record

ArticleEye (London, England)2026

Identifying potential therapeutic targets for high myopia via a case-control study and Mendelian randomisation analyses of the human blood metabolome.

Xing-Xuan Dong, Yi-Jin Tao, Jian-Hua Liu, Gang Liang, Dan-Lin Li, Dan-Ning Hu, Carla Lanca, Andrzej Grzybowski, Chen-Wei Pan

Abstract read
In one paragraph

Article in Eye (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xing-Xuan Dong *School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Yi-Jin Tao *Department of Ophthalmology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jian-Hua LiuSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Gang LiangDepartment of Ophthalmology, The Affiliated Hospital of Yunnan University, Kunming, China.
Dan-Lin LiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Dan-Ning HuNew York Eye and Ear Infirmary of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York City, New York, NY, USA.
Carla LancaDivision of Science, New York University Abu Dhabi, Abu Dhabi, UAE.ORCID http://orcid.org/0000-0001-9918-787X
Andrzej GrzybowskiInstitute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.
Chen-Wei PanSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China. pcwonly@gmail.com.ORCID http://orcid.org/0000-0003-3362-4613

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82260215
6 · The paper itself

Abstract

backgroundHigh myopia increases the risk of pathological ocular changes that may lead to irreversible vision loss. Therefore, the identification of potential biomarkers and therapeutic targets for high myopia is essential for early intervention and prevention.

methodsSummary statistics for 122 blood metabolites were obtained from three genome-wide association studies (GWASs), whereas data on high myopia were derived from a large GWAS conducted with 50,372 participants from the UK Biobank. Mendelian randomisation (MR) analyses were conducted to assess the causal relationships between blood metabolites and high myopia. A real-world case-control study was conducted to validate the causal associations identified in the MR analyses.

resultsThe systematic MR analysis identified 5 blood metabolites as both biomarkers and potential drug targets for high myopia, including glutamine (odds ratio [OR]: 0.98, 95% confidence interval [CI]: 0.97-1.00), tyrosine (OR: 0.98; 95% CI: 0.97-0.99), degree of unsaturation (OR: 0.98, 95% CI: 0.98-0.99), docosahexaenoic acid (DHA) (OR: 0.99; 95% CI: 0.98-1.00) and isobutyrylcarnitine (OR: 1.09, 95% CI: 1.05-1.13). The case-control study indicated that the levels of glutamine (OR = 0.76, 95% CI: 0.58-0.98) and tyrosine (OR = 0.72, 95% CI: 0.55-0.94) were significantly associated with a decreased risk of high myopia.

conclusionsSystematic MR analysis suggested that glutamine, tyrosine, the degree of unsaturation, DHA, and isobutyrylcarnitine may represent promising drug targets for high myopia prevention. Further investigations are needed to validate the therapeutic efficacy and elucidate the underlying mechanisms involved.

Indexed as

Mendelian Randomization AnalysisMetabolomeMyopia, DegenerativeAdultBiomarkersCarnitineCase-Control StudiesDocosahexaenoic AcidsFemaleGenome-Wide Association StudyGlutamineHumansMaleMiddle AgedPolymorphism, Single NucleotideTyrosineBiomarkersCarnitineDocosahexaenoic AcidsGlutamineTyrosine

Identifiers

PMID42288617
PMCPMC13538583

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.