Evidence map›Paper›PMID 38393419›Full record

ArticleMolecular biology reports2024

The identification of signature genes and their relationship with immune cell infiltration in age-related macular degeneration.

Jinquan Chen, Long Zhao, Longbin Zhang, Yiling Luo, Yuling Jiang, Peng H

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Article in Molecular biology reports, 2024. 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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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jinquan ChenDepartment of Ophthalmology, The Tongnan District People's Hospital, Chongqing, China.
Long ZhaoDepartment of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Longbin ZhangDepartment of Ophthalmology, The Tongnan District People's Hospital, Chongqing, China.
Yiling LuoDepartment of Ophthalmology, The Tongnan District People's Hospital, Chongqing, China.
Yuling JiangDepartment of Ophthalmology, The Tongnan District People's Hospital, Chongqing, China.
Peng HDepartment of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. pengh9@sina.com.
Chongqing Dazu District People's Hospital · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

National Natural Science Foundation of China 81670881
6 · The paper itself

Abstract

backgroundAge-related macular degeneration (AMD) is a prevalent source of visual impairment among the elderly population, and its incidence has risen in tandem with the increasing longevity of humans. Despite the progress made with anti-VEGF therapy, clinical outcomes have proven to be unsatisfactory.

methodWe obtained differentially expressed genes (DEGs) of AMD patients and healthy controls from the GEO database. GO and KEGG analyses were used to enrich the DEGs. Weighted gene coexpression network analysis (WGCNA) was used to identify modules related to AMD. SVM, random forest, and least absolute shrinkage and selection operator (LASSO) were employed to screen hub genes. Gene set enrichment analysis (GSEA) was used to explore the pathways in which these hub genes were enriched. CIBERSORT was utilized to analyze the relationship between the hub genes and immune cell infiltration. Finally, Western blotting and RT‒PCR were used to explore the expression of hub genes in AMD mice.

resultsWe screened 1084 DEGs in GSE29801, of which 496 genes were upregulated. These 1084 DEGs were introduced into the WGCNA, and 94 genes related to AMD were obtained. Seventy-nine overlapping genes were obtained by the Venn plot. These 79 genes were introduced into three machine-learning methods to screen the hub genes, and the genes identified by the three methods were TNC, FAP, SREBF1, and TGF-β2. We verified their diagnostic function in the GSE29801 and GSE103060 datasets. Then, the hub gene co-enrichment pathways were obtained by GO and KEGG analyses. CIBERSORT analysis showed that these hub genes were associated with immune cell infiltration. Finally, we found increased expression of TNC, FAP, SREBF1, and TGF-β2 mRNA and protein in the retinas of AMD mice.

conclusionWe found that four hub genes, namely, FAP, TGF-β2, SREBF1, and TNC, have diagnostic significance in patients with AMD and are related to immune cell infiltration. Finally, we determined that the mRNA and protein expression of these hub genes was upregulated in the retinas of AMD mice.

Indexed as

Macular DegenerationTransforming Growth Factor beta2AgedAnimalsBlotting, WesternHumansMiceRetinaRNA, MessengerRNA, MessengerTransforming Growth Factor beta2AMDImmune cellsMachine learningWGCNA

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PMID38393419
OpenAlexW4392099102

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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 OpenQuestion graph.