Genetic regulation of methylation in diabetic retinopathy.

Yaqi Li, Chunmei Gong, Yuanfei Xu, Xiongshun Liang, Xiaoping Chen, Wenxu Hong, Junxia Yan
Author Information
  1. Yaqi Li: Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan, China.
  2. Chunmei Gong: Animal Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
  3. Yuanfei Xu: Animal Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
  4. Xiongshun Liang: Central Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
  5. Xiaoping Chen: Institute of Clinical Pharmacology, Central South University, Changsha, China.
  6. Wenxu Hong: Central Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
  7. Junxia Yan: Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan, China.

Abstract

Background: Diabetic retinopathy (DR) is a common and serious microvascular complication of diabetes mellitus (DM), but its pathological mechanism, especially the formation mechanism of new blood vessels remains unclear. Thrombospondin-1 () is a potent endogenous inhibitor of angiogenesis and it was found over expressed in DR in our previous study. Our study aimed to determine whether overexpression of is associated with its promoter methylation level, and whether methylation of is regulated by genetic variants in DR.
Methods: Patients diagnosed with DR and DM patients without retinal problems were included in the case-control study. DNA methylation detection of by bisulfite sequencing and genotyping of specific SNPs by MassARRAY analysis were performed in the patients recruited from 2019-2020. Real time quantitative PCR was performed to obtain mRNA expression of in the patients recruited from August to October 2022. The differentially methylated CpG loci of were identified by logistic regression, and associations between 13 SNPs and methylation levels of CpG loci were tested by methylation quantitative trait loci (meQTLs) analysis. Mediation analysis was applied to determine whether CpG loci were intermediate factors between meQTLs and DR.
Results: 150 patients diagnosed with DR and 150 DM patients without retinal complications were enrolled in the first recruitment, seven DR patients and seven DM patients were enrolled in the second recruitment. The patients with DR showed promoter hypomethylation of (P value = 0.002), and six out of thirty-nine CpG sites within two CpG islands (CGIs) showed hypomethylation(P value < 0.05). mRNA expression in peripheral blood was significantly higher in DR patients than in DM patients. Five out of thirteen cis-meQTLs were identified to be associated with CpG sites: rs13329154, rs34973764 and rs5812091 were associated with cis-meQTLs of CpG-4 (P value=0.0145, 0.0095, 0.0158), rs11070177 and rs1847663 were associated with cis-meQTLs of CpG-2 and CpG-3 respectively (P value=0.0201, 0.0275). CpG-4 methylation significantly mediated the effect of the polymorphism rs34973764 on DR (B=0.0535, Boot 95%CI: 0.004~0.1336).
Conclusion: overexpression is related to hypomethylation in patients with DR. DNA methylation may be genetically controlled in DR.

Keywords

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MeSH Term

Humans
Case-Control Studies
Diabetes Mellitus
Diabetic Retinopathy
DNA Methylation
Protein Processing, Post-Translational
RNA, Messenger

Chemicals

RNA, Messenger
thrombospondin-1, human

Word Cloud

Created with Highcharts 10.0.0DRpatientsmethylationCpG0DMassociatedlociPretinopathystudywhetherDNAanalysishypomethylationcis-meQTLsmechanismblooddetermineoverexpressionpromotergeneticdiagnosedwithoutretinalSNPsperformedrecruitedquantitativemRNAexpressionidentifiedmeQTLs150enrolledrecruitmentsevenshowedvaluesignificantlyrs34973764CpG-4value=0regulationdiabeticBackground:DiabeticcommonseriousmicrovascularcomplicationdiabetesmellituspathologicalespeciallyformationnewvesselsremainsunclearThrombospondin-1potentendogenousinhibitorangiogenesisfoundexpressedpreviousaimedlevelregulatedvariantsMethods:Patientsproblemsincludedcase-controldetectionbisulfitesequencinggenotypingspecificMassARRAY2019-2020RealtimePCRobtainAugustOctober2022differentiallymethylatedlogisticregressionassociations13levelstestedtraitMediationappliedintermediatefactorsResults:complicationsfirstsecond=002sixthirty-ninesiteswithintwoislandsCGIs<05peripheralhigherFivethirteensites:rs13329154rs5812091014500950158rs11070177rs1847663CpG-2CpG-3respectively02010275mediatedeffectpolymorphismB=00535Boot95%CI:004~01336Conclusion:relatedmaygeneticallycontrolledGeneticTHBS1meQTL

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