» Articles » PMID: 31253200

Comparative DNA Methylomic Analyses Reveal Potential Origins of Novel Epigenetic Biomarkers of Insulin Resistance in Monocytes from Virally Suppressed HIV-infected Adults

Overview
Publisher Biomed Central
Specialty Genetics
Date 2019 Jun 30
PMID 31253200
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Compared to healthy individuals, those with stably repressed HIV experience a higher risk of developing insulin resistance, a hallmark of pre-diabetes and a major determinant for cardiometabolic diseases. Although epigenetic processes, including in particular DNA methylation, appear to be dysregulated in individuals with insulin resistance, little is known about where these occur in the genomes of immune cells and the origins of these alterations in HIV-infected individuals. Here, we examined the genome-wide DNA methylation states of monocytes in HIV-infected individuals (n = 37) with varying levels of insulin sensitivity measured by the homeostatic model assessment of insulin resistance (HOMA-IR).

Results: By profiling DNA methylation at single-nucleotide resolution using the Illumina Infinium HumanMethylation450 BeadChip in monocytes from insulin-resistant (IR; HOMA-IR ≥ 2.0; n = 14) and insulin-sensitive (IS; HOMA-IR < 2.0; n = 23) individuals, we identified 123 CpGs with significantly different DNA methylation levels. These CpGs were enriched at genes involved in pathways relating to glucose metabolism, immune activation, and insulin-relevant signaling, with the majority (86.2%) being hypomethylated in IR relative to IS individuals. Using a stepwise multiple logistic regression analysis, we observed 4 CpGs (cg27655935, cg02000426, cg10184328, and cg23085143) whose methylation levels independently predicted the insulin-resistant state at a higher confidence than that of clinical risk factors typically associated with insulin resistance (i.e., fasting glucose, 120-min oral glucose tolerance test, Framingham Risk Score, and Total to HDL cholesterol ratio). Interestingly, 79 of the 123 CpGs (64%) exhibited remarkably similar levels of methylation as that of hematopoietic stem cells (HSC) in monocytes from IR individuals, implicating epigenetic defects in myeloid differentiation as a possible origin for the methylation landscape underlying the insulin resistance phenotype. In support of this, gene ontology analysis of these 79 CpGs revealed overrepresentation of these CpGs at genes relevant to HSC function, including involvement in stem cell pluripotency, differentiation, and Wnt signaling pathways.

Conclusion: Altogether, our data suggests a possible role for DNA methylation in regulating monocyte activity that may associate with the insulin-resistant phenotype. The methylomic landscape of insulin resistance in monocytes could originate from epigenetic dysregulation during HSC differentiation through the myeloid lineage. Understanding the factors involved with changes in the myeloid trajectory may provide further insight into the development of insulin resistance. Furthermore, regulation of specific genes that were implicated in our analysis reveal possible targets for modulating immune activity to ameliorate insulin resistance.

Citing Articles

Prolonged exposure to insulin might cause epigenetic alteration leading to insulin resistance.

Bano S, More S, Mongad D, Khalique A, Dhotre D, Bhat M FEBS Open Bio. 2024; 15(1):81-93.

PMID: 39471069 PMC: 11705401. DOI: 10.1002/2211-5463.13891.


Socioeconomic Status, Lifestyle, and DNA Methylation Age Among Racially and Ethnically Diverse Adults: NIMHD Social Epigenomics Program.

Maunakea A, Phankitnirundorn K, Peres R, Dye C, Juarez R, Walsh C JAMA Netw Open. 2024; 7(7):e2421889.

PMID: 39073814 PMC: 11287425. DOI: 10.1001/jamanetworkopen.2024.21889.


Epigenetic modulation of myeloid cell functions in HIV and SARS-CoV-2 infection.

Krause C, Bergmann E, Schmidt S Mol Biol Rep. 2024; 51(1):342.

PMID: 38400997 PMC: 10894183. DOI: 10.1007/s11033-024-09266-2.


The initial interplay between HIV and mucosal innate immunity.

Caputo V, Libera M, Sisti S, Giuliani B, Diotti R, Criscuolo E Front Immunol. 2023; 14:1104423.

PMID: 36798134 PMC: 9927018. DOI: 10.3389/fimmu.2023.1104423.


Shifts in the immunoepigenomic landscape of monocytes in response to a diabetes-specific social support intervention: a pilot study among Native Hawaiian adults with diabetes.

Dye C, Corley M, Ing C, Lum-Jones A, Li D, Mau M Clin Epigenetics. 2022; 14(1):91.

PMID: 35851422 PMC: 9295496. DOI: 10.1186/s13148-022-01307-6.


References
1.
Chen E, Tan C, Kou Y, Duan Q, Wang Z, Meirelles G . Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 2013; 14:128. PMC: 3637064. DOI: 10.1186/1471-2105-14-128. View

2.
Gayoso-Diz P, Otero-Gonzalez A, Rodriguez-Alvarez M, Gude F, Cadarso-Suarez C, Garcia F . Insulin resistance index (HOMA-IR) levels in a general adult population: curves percentile by gender and age. The EPIRCE study. Diabetes Res Clin Pract. 2011; 94(1):146-55. DOI: 10.1016/j.diabres.2011.07.015. View

3.
Jalbert E, Crawford T, DAntoni M, Keating S, Norris P, Nakamoto B . IL-1Β enriched monocytes mount massive IL-6 responses to common inflammatory triggers among chronically HIV-1 infected adults on stable anti-retroviral therapy at risk for cardiovascular disease. PLoS One. 2013; 8(9):e75500. PMC: 3783392. DOI: 10.1371/journal.pone.0075500. View

4.
Hotamisligil G . Inflammation and metabolic disorders. Nature. 2006; 444(7121):860-7. DOI: 10.1038/nature05485. View

5.
Hermann J, Hammes H, Rami-Merhar B, Rosenbauer J, Schutt M, Siegel E . HbA1c variability as an independent risk factor for diabetic retinopathy in type 1 diabetes: a German/Austrian multicenter analysis on 35,891 patients. PLoS One. 2014; 9(3):e91137. PMC: 3946653. DOI: 10.1371/journal.pone.0091137. View