Multi-omics in exploring the pathophysiology of diabetic retinopathy DOI Creative Commons
Xinlu Li, Xifeng Dong, Wen Zhang

et al.

Frontiers in Cell and Developmental Biology, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 11, 2024

Diabetic retinopathy (DR) is a leading global cause of vision impairment, with its prevalence increasing alongside the rising rates diabetes mellitus (DM). Despite retina's complex structure, underlying pathology DR remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) and recent advancements in multi-omics analyses have revolutionized molecular profiling, enabling high-throughput analysis comprehensive characterization biological systems. This review highlights significant contributions scRNA-seq, conjunction other technologies, to research. Integrated scRNA-seq transcriptomic revealed novel insights into pathogenesis, including alternative transcription start site events, fluctuations cell populations, altered gene expression profiles, critical signaling pathways within retinal cells. Furthermore, by integrating genetic association studies analyses, researchers identified biomarkers, susceptibility genes, potential therapeutic targets for DR, emphasizing importance specific types disease progression. The integration metabolomics has also been instrumental identifying metabolites dysregulated associated DR. It highly conceivable that continued synergy between approaches will accelerate discovery mechanisms development interventions

Language: Английский

Multi-omics in exploring the pathophysiology of diabetic retinopathy DOI Creative Commons
Xinlu Li, Xifeng Dong, Wen Zhang

et al.

Frontiers in Cell and Developmental Biology, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 11, 2024

Diabetic retinopathy (DR) is a leading global cause of vision impairment, with its prevalence increasing alongside the rising rates diabetes mellitus (DM). Despite retina's complex structure, underlying pathology DR remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) and recent advancements in multi-omics analyses have revolutionized molecular profiling, enabling high-throughput analysis comprehensive characterization biological systems. This review highlights significant contributions scRNA-seq, conjunction other technologies, to research. Integrated scRNA-seq transcriptomic revealed novel insights into pathogenesis, including alternative transcription start site events, fluctuations cell populations, altered gene expression profiles, critical signaling pathways within retinal cells. Furthermore, by integrating genetic association studies analyses, researchers identified biomarkers, susceptibility genes, potential therapeutic targets for DR, emphasizing importance specific types disease progression. The integration metabolomics has also been instrumental identifying metabolites dysregulated associated DR. It highly conceivable that continued synergy between approaches will accelerate discovery mechanisms development interventions

Language: Английский

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