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Identification of potential molecular targets associated with proliferative diabetic retinopathy.

ABSTRACT: BACKGROUND:This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR). METHODS:The microarray dataset "GSE60436" generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from the active FVMs and control or inactive FVMs and control were evaluated and co-DEGs were identified using VEEN analysis. Functional enrichment analysis, and protein-protein interactions (PPI) network and module analyses were performed on the upregulated and downregulated coDEGs. Finally, several predictions regarding microRNAs (miRNAs) and transcription factors (TFs) were made to construct a putative TF-miRNA-target network. RESULTS:A total of 1475 co-DEGs were screened in active/inactive FVM samples, including 461 upregulated and 1014 downregulated genes, which were enriched for angiogenesis [Hypoxia Inducible Factor 1 Subunit Alpha (HIF1A) and Placental Growth Factor (PGF)] and visual perception, respectively. In the case of the upregulated co-DEGs, Kinesin Family Member 11 (KIF11), and BUB1 Mitotic Checkpoint Serine/Threonine Kinase (BUB1) exhibited the highest values in both the PPI network and module analyses, as well as the genes related to mitosis. In the case of downregulated co-DEGs, several G protein subunits, including G Protein Subunit Beta 3 (GNB3), exhibited the highest values in both the PPI network and module analyses. The genes identified in the module analysis were found to be from the signal transduction-related pathways. In addition, we were able to identify four miRNAs and five TFs, including miR-136 and miR-374. CONCLUSIONS:In brief, HIF1A, PGF, KIF11, G protein subunits, and miR-136, miR-374 may all be involved in angiogenesis, retinal endothelial cell proliferation, and visual signal transduction in proliferative DR. This study provides a number of novel insights that may aid the development of future studies dedicated to discovering novel therapeutic targets in proliferative DR.

SUBMITTER: Shao D

PROVIDER: S-EPMC7155274 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Identification of potential molecular targets associated with proliferative diabetic retinopathy.

Shao Dewang D He Shouzhi S Ye Zi Z Zhu Xiaoquan X Sun Wei W Fu Wei W Ma Tianju T Li Zhaohui Z

BMC ophthalmology 20200414 1

<h4>Background</h4>This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR).<h4>Methods</h4>The microarray dataset "GSE60436" generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from the active FVMs and control or inactive FVMs and control were evaluated and co-DEGs were identified using ...[more]

PMID: 32290826

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Project description:BackgroundProliferative diabetic retinopathy (PDR), a sight-threatening retinopathy, is the leading cause of irreversible blindness in adults. Despite strict control of systemic risk factors, a fraction of patients with diabetes develop PDR, suggesting the existence of other potential pathogenic factors underlying PDR. This study aimed to investigate the plasma metabotype of patients with PDR and to identify novel metabolite markers for PDR. Biomarkers identified from this study will provide scientific insight and new strategies for the early diagnosis and intervention of diabetic retinopathy.MethodsA total of 1024 patients with type 2 diabetes were screened. To match clinical parameters between case and control subjects, patients with PDR (PDR, n = 21) or those with a duration of diabetes of ≥10 years but without diabetic retinopathy (NDR, n = 21) were assigned to the present case-control study. Distinct metabolite profiles of serum were examined using liquid chromatography-mass spectrometry (LC-MS).ResultsThe distinct metabolites between PDR and NDR groups were significantly enriched in 9 KEGG pathways (P < 0.05, impact > 0.1), namely, alanine, aspartate and glutamate metabolism, caffeine metabolism, beta-alanine metabolism, purine metabolism, cysteine and methionine metabolism, sulfur metabolism, sphingosine metabolism, and arginine and proline metabolism. A total of 63 altered metabolites played important roles in these pathways. Finally, 4 metabolites were selected as candidate biomarkers for PDR, namely, fumaric acid, uridine, acetic acid, and cytidine. The area under the curve for these biomarkers were 0.96, 0.95, 1.0, and 0.95, respectively.ConclusionsThis study suggested that impairment in the metabolism of pyrimidines, arginine and proline were identified as metabolic dysregulation associated with PDR. And fumaric acid, uridine, acetic acid, and cytidine might be potential biomarkers for PDR. Fumaric acid was firstly reported as a novel metabolite marker with no prior reports of association with diabetes or diabetic retinopathy, which might provide insights into potential new pathogenic pathways for diabetic retinopathy.

Project description:IntroductionFew qualitative studies have explored the patient experience of daily life with proliferative diabetic retinopathy (PDR) and associated treatments. Herein, a conceptual model was developed to comprehensively examine symptoms, functional impacts, and treatment experiences in PDR.MethodsA qualitative, mixed-methods study comprising a literature search and semi-structured interviews with clinicians and patients was conducted. Published literature and online patient resources were searched to identify concepts relevant to patients, including symptoms, functional impacts, and treatment experiences of PDR. Semi-structured interviews with experienced clinicians were conducted to identify symptoms and impacts reported by patients with PDR and to receive feedback regarding concepts identified from the literature search. A preliminary conceptual model was then developed based on findings from the literature search and clinician interviews. Patients with PDR participated in two rounds of semi-structured interviews to identify additional concepts relevant to the patient experience in PDR and associated treatments, which informed revisions to the conceptual model. Saturation of patient interviews was assessed.ResultsFindings from the literature search and clinician interviews yielded 109 concepts that were included in a preliminary conceptual model with three overarching domains: symptoms, impacts, and managing the disease. Clinicians confirmed concepts identified from the literature search. During interviews, patients reported a broad spectrum of symptoms (e.g., red vision); functional impacts relating to activities of daily living (e.g., reading), emotional functioning (e.g., loss of independence), and social functioning (e.g., problems recognizing faces); and treatment experiences (e.g., improves eye problems, no change) associated with PDR. Additional concepts elicited in patient interviews informed revisions to the conceptual model. Saturation was achieved in the patient sample.ConclusionsA wide variety of symptoms, functional impacts, and treatment experiences that significantly affect health-related quality of life were identified in patients with PDR. These insights are critical for understanding PDR symptomology and assessing treatment response.

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Identification of potential molecular targets associated with proliferative diabetic retinopathy.

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Identification of potential molecular targets associated with proliferative diabetic retinopathy.

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