ArticleJournal of translational medicine2024
Integration of multi-omics transcriptome-wide analysis for the identification of novel therapeutic drug targets in diabetic retinopathy.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Article
- Regulatory mechanisms of Traditional Chinese Medicine on gut microbiota in diabetic microvascular complications.Chinese medicine · 2026Review
- From the brain cell atlas to precision neurology: a review of the application of AI-driven multi-omics in brain science.GigaScience · 2026Review
- Multi-omics integrated analysis identifies causal risk factors and therapeutic targets for diabetic retinopathy.Journal of translational medicine · 2025Article
- Mendelian randomization and mediation analysis reveal the role of immune cells in the pathways between inflammatory factors and glioblastoma.The Journal of international medical research · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundDiabetic retinopathy (DR) is the most important complication of Type 2 Diabetes (T2D) in eyes. Despite its prevalence, the early detection and management of DR continue to pose considerable challenges. Our research aims to elucidate potent drug targets that could facilitate the identification of DR and propel advancements in its therapeutic strategies.
methodsA broad multi-omics exploration of DR was presented to decipher the drug targets of DR and proliferative diabetic retinopathy (PDR). Transcriptome-Wide Association Studies (TWAS), fine-mapping and conditional analysis were applied to unearth potential tissue-specific gene associations with DR. Summary Data-based Mendelian Randomization (SMR) provided secondary analysis of high confidence genes. Cis-instrument of druggable genes were extracted from the eQTLGen Consortium and PsychENCODE, facilitating drug-target MR supported by colocalization analysis. Phenome-Wide Association Studies (PheWAS) was conducted on the high confidence genes. Metabolomic and immunomic MR-profiling further augmented our research as complement.
resultsTWAS identified multiple robust genetic loci in both DR and PDR (WFS1, RPS26, and SRPK1) through genetic associations across different tissues. Meanwhile, we have delineated both the commonalities and discrepancies between DR and PDR at the transcriptomic level, represented by DCLRE1B as the hub gene that DR progressed into PDR. SMR revealed 92 key DR-related genes and 55 PDR-related genes. HLA-DQ family genes have a frequent occurrence, while RPS26, WFS1 and SRPK1 were validated as the genetic network's linchpins. Drug-target MR casted ERBB3 and SRPK1 as candidate effector genes for DR and PDR susceptibility. In addition, metabolomics and immunomics analyses also revealed multifaceted pathogenic factors for DR.
conclusionsOur research offers targeted therapeutic insights for early-stage DR and facilitates multi-omic comparisons of it and PDR.
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Registered trials
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