Genome-wide DNA methylation analysis of extreme phenotypes in the identification of novel epigenetic modifications in diabetic retinopathy

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

Aberrant epigenetic modifications such as DNA methylation may contribute to the pathogenesis of DR. We aimed at elucidating the role of novel DNA methylation modifications in diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) using an extreme phenotypic design.

Methods/results

Two consecutive studies were conducted. A cross-sectional study using an extreme phenotypic design was conducted to identify rare methylation modifications that might contribute to DR pathogenesis. A 2-year longitudinal nested case–control study was conducted to validate the results and assess whether these novel methylation modifications could be used as biomarkers for predicting DR onset. A large number of differentially methylated CpG sites were identified in the cross-sectional study, and two (cg12869254 and cg04026387) corresponding to known genes were replicated in the longitudinal study. Higher methylation of cg12869254 significantly correlated with macular RNFL thinning in the superior and nasal subregions, and that of cg04026387 correlated with reduced deep capillary plexus VD in the superior and inferior subregions after adjusting for covariates.

Conclusions

Cg12869254 and cg04026387 hypermethylation may complement the known risk factors that contribute to the pathogenesis of DR and as novel biomarkers for disease prediction.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13148-022-01354-z.

Related collections

Most cited references 43

Record: found
Abstract: found
Article: found

Prediction of Creatinine Clearance from Serum Creatinine

Donald W Cockcroft, Henry Gault (1976)

A formula has been developed to predict creatinine clearance (C cr ) from serum creatinine (S cr ) in adult males: Ccr = (140 – age) (wt kg)/72 × S cr (mg/100ml) (15% less in females). Derivation included the relationship found between age and 24-hour creatinine excretion/kg in 249 patients aged 18–92. Values for C cr were predicted by this formula and four other methods and the results compared with the means of two 24-hour C cr’s measured in 236 patients. The above formula gave a correlation coefficient between predicted and mean measured Ccr·s of 0.83; on average, the difference between predicted and mean measured values was no greater than that between paired clearances. Factors for age and body weight must be included for reasonable prediction.

0 comments Cited 1547 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Global aetiology and epidemiology of type 2 diabetes mellitus and its complications

Sylvia Ley, Yan Zheng, Frank Hu (2017)

Globally, the number of people with diabetes mellitus has quadrupled in the past three decades, and diabetes mellitus is the ninth major cause of death. About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic, with China and India the top two epicentres. Although genetic predisposition partly determines individual susceptibility to T2DM, an unhealthy diet and a sedentary lifestyle are important drivers of the current global epidemic; early developmental factors (such as intrauterine exposures) also have a role in susceptibility to T2DM later in life. Many cases of T2DM could be prevented with lifestyle changes, including maintaining a healthy body weight, consuming a healthy diet, staying physically active, not smoking and drinking alcohol in moderation. Most patients with T2DM have at least one complication, and cardiovascular complications are the leading cause of morbidity and mortality in these patients. This Review provides an updated view of the global epidemiology of T2DM, as well as dietary, lifestyle and other risk factors for T2DM and its complications.

0 comments Cited 1357 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Biochemistry and molecular cell biology of diabetic complications.

M. Brownlee (2001)

Diabetes-specific microvascular disease is a leading cause of blindness, renal failure and nerve damage, and diabetes-accelerated atherosclerosis leads to increased risk of myocardial infarction, stroke and limb amputation. Four main molecular mechanisms have been implicated in glucose-mediated vascular damage. All seem to reflect a single hyperglycaemia-induced process of overproduction of superoxide by the mitochondrial electron-transport chain. This integrating paradigm provides a new conceptual framework for future research and drug discovery.

0 comments Cited 631 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Wei Wang:

ORCID: http://orcid.org/0000-0002-5273-3332

wangwei@gzzoc.com

Journal

Journal ID (nlm-ta): Clin Epigenetics

Journal ID (iso-abbrev): Clin Epigenetics

Title: Clinical Epigenetics

Publisher: BioMed Central (London )

ISSN (Print): 1868-7075

ISSN (Electronic): 1868-7083

Publication date (Electronic): 31 October 2022

Publication date PMC-release: 31 October 2022

Publication date Collection: 2022

Volume: 14

Electronic Location Identifier: 137

Affiliations

[1 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, ; Guangzhou, China

[2 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, , University of Melbourne, ; Level 7, 32 Gisborne Street, East Melbourne, VIC 3002 Australia

[3 ]GRID grid.410556.3, ISNI 0000 0001 0440 1440, John Radcliffe Hospital, , Oxford University Hospitals NHS Foundation Trust, ; Oxford, UK

Author information

Wei Wang http://orcid.org/0000-0002-5273-3332

Article

Publisher ID: 1354

DOI: 10.1186/s13148-022-01354-z

PMC ID: 9623976

PubMed ID: 36316758

SO-VID: 4dd0eed9-d8b5-4e10-befe-aec305e87add

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 21 August 2022

Date accepted : 11 October 2022

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;

Award ID: 82000901

Award Recipient : Wei Wang

Funded by: Guangzhou Science & Technology Plan of Guangdong Pearl River Talents Program

Award ID: 202102010162

Award Recipient : Wei Wang

Funded by: Fundamental Research Funds of the State Key Laboratory of Ophthalmology

Award ID: 303060202400362

Award Recipient : Wei Wang

Custom metadata

ScienceOpen disciplines: Genetics

Keywords: diabetic retinopathy,type 2 diabetes mellitus,dna methylation,extreme phenotypes,biomarkers

Data availability:

ScienceOpen disciplines: Genetics

Keywords: diabetic retinopathy, type 2 diabetes mellitus, dna methylation, extreme phenotypes, biomarkers

Genome-wide DNA methylation analysis of extreme phenotypes in the identification of novel epigenetic modifications in diabetic retinopathy

Read this article at

Abstract

Background

Methods/results

Conclusions

Supplementary Information

Related collections

Genomic Prediction

Most cited references 43

Prediction of Creatinine Clearance from Serum Creatinine

Global aetiology and epidemiology of type 2 diabetes mellitus and its complications

Biochemistry and molecular cell biology of diabetic complications.

Author and article information

Contributors

Journal

Affiliations

Author information

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 108

Cited by 2

Most referenced authors 480