| Literature DB >> 31976085 |
Michele Lanza1, Giuditta Benincasa2, Dario Costa3, Claudio Napoli2,4.
Abstract
Network medicine is a molecular-bioinformatic approach analyzing gene-gene interactions that can perturb the human interactome. This review focuses on epigenetic changes involved in several ocular diseases, such as DNA methylation, histone and nonhistone post-translational modifications, and noncoding RNA regulators. Although changes in aberrant DNA methylation play a major role in the pathogenesis of most ocular diseases, histone modifications are seldom investigated. Hypermethylation in TGM-2 and hypomethylation in MMP-2/CD24 promoter genes may play a crucial role in pterygium development; hypermethylation in regulatory regions of GSTP1 and OGG1 genes appear to be diagnostic biomarkers of cataract; hypomethylation of TGF-β1 promoter may trigger glaucoma onset; hypermethylation of the LOXL1 gene might be associated with pseudoexfoliation syndrome. A large panel of upregulated micro-RNAs (miRNAs), including hsa-hsa-miR-494, hsa-let-7e, hsa-miR-513-1, hsa-miR-513-2, hsa-miR-518c, hsa-miR-129-1, hsa-miR-129-2, hsa-miR-198, hsa-miR-492, hsa-miR-498, hsa-miR-320, hsa-miR-503, and hsa-miR-373, ∗ may have a putative role in the development of retinoblastoma. Hypermethylation of H3K4 and hypomethylation of H3K27 at the TGFBIp locus are putative pathogenic mechanisms involved in corneal dystrophies. Determining how, where, and when specific epigenetic changes trigger ocular diseases may provide useful clinical biomarkers for their prevention, diagnosis, and management, as well as innovative drug targets. PF-04523655, a 19-nucleotide methylated double-stranded siRNA targeting the RTP80 gene, showed a dose-related improvement in best-corrected visual acuity (BCVA) in patients affected by diabetic macular edema. The observed results support a clinical network-based research program aimed to clarify the role of epigenetic regulators in the development of ocular diseases and personalized therapy.Entities:
Year: 2019 PMID: 31976085 PMCID: PMC6959156 DOI: 10.1155/2019/2424956
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.909
Figure 1Epigenome: the bridge between environment and genome in ocular disease pathobiology. Environmental stimuli (exposome) interact with the genome through epigenetic modifications, which play a crucial role in controlling gene expression without changing the DNA sequence. The main epigenetic mechanisms are DNA methylation, histone modifications, and noncoding RNAs acting at different levels of the gene expression process. Aberrant epigenetic factors lead to common endophenotypes, including inflammation, fibrosis, proliferation, and adhesion that culminate in complex ocular diseases.
Pathogenic epigenetic modifications in different ocular diseases.
| Disease | Epigenetic modification | Gene | Effect | Phenotypic outcome | References |
|---|---|---|---|---|---|
| Pterygium | DNA hypermethylation |
| Reduced protein expression | ||
| DNA hypomethylation |
| Increased protein expression | Fibrosis and neovascular changes | [ | |
| DNA hypomethylation |
| Increased protein expression | |||
| Upregulation of hsa-miR-143a-3p, hsa-miR-181a-2-3p, hsa-miR-377-5p, and hsa-miR-411a | — | Reduced mRNA and protein expression | — | [ | |
|
| |||||
| GCD2 | H3K4 hypermethylation |
| Increased gene expression | Increased expression of ECM genes | [ |
|
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| Cataract | DNA hypermethylation |
| Reduced mRNA and protein expression | Increased oxidative stress | [ |
| DNA hypermethylation |
| Reduced mRNA and protein expression | Increased oxidative stress | [ | |
| DNA hypermethylation |
| Reduced mRNA and protein expression | Increased rate of apoptosis | [ | |
|
| |||||
| Glaucoma | DNA hypomethylation |
| Increased protein expression | Increased ECM protein production and accumulation | [ |
|
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| PEX | DNA hypermethylation |
| Reduced protein expression | Failure of elastic fiber homeostasis | [ |
|
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| Diabetic retinopathy | Downregulation of hsa-miR-29b-1 and hsa-miR-200b | // | Overexpression of gene target | Deregulation of cellular survival/apoptosis, ECM cytoskeleton signaling | [ |
| 5hmC |
| Increased binding of NF-kB | Increased ROS levels | [ | |
|
| |||||
| AMD | DNA hypermethylation |
| Reduced protein expression | Increased susceptibility to oxidative stress | [ |
|
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| RB | Upregulation of hsa-miR-494, hsa-let-7e, hsa-miR-513a-1, hsa-miR-513a-2, hsa-miR-518c, hsa-miR-129-1, hsa-miR-129-1, hsa-miR-129-2, hsa-miR-198, hsa-miR-492, hsa-miR-498, hsa-miR-320, hsa-miR-503, and hsa-miR-373 | — | Deregulation of gene targets | Associated to insurgence/progression of retinoblastoma tumorigenesis through hypoxia, immune escape, reduction of apoptosis | [ |
TGM2: transglutaminase 2; MMP2: matrix metalloproteinase 2; CD24: CD24 molecule; TGFBIp: transforming grow factor B-induced; GSTP1: pi-class glutathione-S-transferase; OGG1: 8-oxoguanine DNA glycosylase 1; ERCC6: excision repair 6 chromatin remodeling factor; LOXL1: lysyl oxidase-like 1; RAC1: rac family small GTPase 1; GSTM1/5: glutathione S-transferase isoform mu1/mu5; AMD: age-related macular degeneration; ECM: extracellular matrix; GCD2: granular corneal dystrophy type 2; 5hmC: 5-hydroxymethyl cytosine; NF-kB: nuclear factor kappa-light-chain-enhancer of activated B cells; PEX: pseudoexfoliation syndrome; RB: retinoblastoma; ROS: reactive oxygen species.
Figure 2A network-oriented workflow. The computational pipeline relies on four steps: (1) sample preparation (patients vs controls), (2) whole-genome bisulfite sequencing, weighted coexpression network analysis (WGCNA), (3) constriction of network-based maps, and (4) validation and predictions. These epigenetic biomarkers and correlated interactomes may divide DR patients into precise groups, thereby improving personalized therapy.