Evidence map›Paper›PMID 41407891›Full record

ArticleScientific reports2025

Mendelian randomization and bioinformatics analysis identify the association between plasma proteins and cataract.

Xuan Han, Jinyan Wang, Xiaojuan Su, Xingyu Guo, Hejiang Ye

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

5 authors.

Xuan HanChengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
Jinyan WangChengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
Xiaojuan SuHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Xingyu GuoLeshan City Hospital of Traditional Chinese Medicine , Leshan, 614001, China.
Hejiang YeThe Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China. yehejiang@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous observational studies have indicated a significant correlation between plasma proteome composition and cataract pathological status; however, the direction of causality remains uncertain. In light of the aforementioned findings, the present study employs a bidirectional two-sample Mendelian randomisation strategy, with the objective of elucidating the direct causal link between plasma proteome changes and cataract development. Following rigorous data analysis and validation, a series of plasma proteins were identified as being strongly associated with cataract risk. These included ILF3, FAM171A1, ARHGEF2, LPR1B, CRYGD, GLT8D1, ARHGEF10 and LRRTM1, all of which were confirmed to be potential risk factors for cataract. In contrast, proteins such as MXRA7, ZHX3, SPAG11B, ARID1A, DNASE1L2, COX7A1 and EEF2K were found to exert a protective effect against cataract. To gain further insight into the specific mechanisms by which these causally related proteins contribute to cataract pathology, we subsequently performed an exhaustive bioinformatics analysis. This analysis not only deepened our understanding of the functional properties of these proteins, but also revealed their possible involvement in signalling pathways and molecular interactions, thereby providing new insights into the pathogenesis of cataract.

Indexed as

Blood ProteinsCataractComputational BiologyMendelian Randomization AnalysisGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideProteomeRisk FactorsBlood ProteinsProteomeBioinformatics analysisCataractMendelian randomizationPlasma proteome

Identifiers

PMID41407891
PMCPMC12830906

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