Evidence map›Paper›PMID 42050477›Full record

ArticleBMC ophthalmology2026

Correlation between the expression levels of miR-199a-3p and FN1 in serum and aqueous humor and the severity of type 2 diabetic retinopathy in a Chinese population.

Yang Chen, Nianlin Chen, Xiangrui Meng, Minli Linghu, Yikeng Huang, Xionggao Huang

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Article in BMC ophthalmology, 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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6 authors.

Yang Chen *Department of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Nianlin Chen *Department of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Xiangrui MengDepartment of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Minli LinghuDepartment of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Yikeng HuangDepartment of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China. hyk9912@163.com.
Xionggao HuangDepartment of Ophthalmology, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China. hxg_eye@163.com.

Funding

Academic Enhancement Support Program of Hainan Medical University XSTS2026044Hainan Provincial Department of Science and Technology ZDKJ2021038
6 · The paper itself

Abstract

backgroundTo investigate the correlation between the expression levels of microRNA-199a-3p (miR-199a-3p) and Fibronectin 1 (FN1) in serum and aqueous humor and the severity of Type 2 Diabetic Retinopathy (DR) in a Chinese population.

methodsThe dataset GSE102485 (containing 3 normal controls and 22 DR samples) was downloaded from the Gene Expression Omnibus (GEO) database as a discovery set, and the dataset GSE60436 (containing 3 normal controls and 6 DR samples) was used as a validation set. The limma package was employed for differential expression analysis to identify differentially expressed genes (DEGs). The potential downstream target genes of miR-199a-3p were predicted using seven databases including ENCORI. A Venn diagram was used to identify the intersection between the DEGs and the predicted miR-199a-3p target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the intersecting genes. A protein-protein interaction (PPI) network was constructed, and the CIBERSORT algorithm was applied for in-depth analysis of FN1 expression characteristics. Furthermore, the expression pattern of FN1 was validated in independent datasets concerning its association with miR-199a-3p and DR. Finally, real-time quantitative polymerase chain reaction (qPCR) was used to verify the relationship between the expression levels of miR-199a-3p and FN1 in clinical serum and aqueous humor samples and DR severity.

resultsBioinformatics analysis identified a total of 458 DEGs, comprising 214 upregulated and 244 downregulated genes. A heatmap was generated for the top 50 most significantly altered genes. Venn diagram analysis revealed three overlapping genes (PHYHIPL, FN1, CALD1) between the DEGs from GSE102485 and the predicted miR-199a-3p target genes. Further analysis using the miRDB website indicated that FN1 had the strongest correlation with miR-199a-3p, suggesting both as potential important biomarkers for DR. Additionally, the relative expression level of serum miR-199a-3p was significantly negatively correlated with fasting plasma glucose (FPG) (r = -0.425, P = 0.012), glycated hemoglobin (HbA1c) (r = -0.513, P = 0.003), and duration of diabetes (r = -0.587, P < 0.001), indicating its decrease with elevated blood glucose and prolonged disease course. Conversely, serum FN1 levels showed significant positive correlations with FPG (r = 0.458, P = 0.008), HbA1c (r = 0.621, P < 0.001), and diabetes duration (r = 0.694, P < 0.001), suggesting that poor glycemic control and disease progression may promote FN1 overexpression. Both biomarkers demonstrated good diagnostic value for DR, with miR-199a-3p exhibiting the highest diagnostic efficacy.

conclusionThe expression levels of miR-199a-3p and FN1 in serum and aqueous humor are significantly correlated with the severity of Type 2 Diabetic Retinopathy, highlighting their potential as non-invasive diagnostic and prognostic biomarkers for DR.

Indexed as

Aqueous HumorDiabetes Mellitus, Type 2Diabetic RetinopathyFibronectinsGene Expression RegulationMicroRNAsAgedBiomarkersChinaEast Asian PeopleFemaleHumansMaleMiddle AgedSeverity of Illness IndexBiomarkersFibronectinsFN1 protein, humanMicroRNAsmirn199 microRNA, humanAqueous humorBiomarkerFibronectin 1microRNA-199a-3pSerumType 2 diabetic retinopathy

Identifiers

PMID42050477
PMCPMC13126745

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