Unknown

Dataset Information

0

Computationally inferred cell-type specific epigenome-wide DNA methylation analysis unveils distinct methylation patterns among immune cells for HIV infection in three cohorts.


ABSTRACT:

Background

Epigenome-wide association studies (EWAS) have identified CpG sites associated with HIV infection in blood cells in bulk, which offer limited knowledge of cell-type specific methylation patterns associated with HIV infection. In this study, we aim to identify differentially methylated CpG sites for HIV infection in immune cell types: CD4+ T-cells, CD8+ T-cells, B cells, Natural Killer (NK) cells, and monocytes.

Methods

Applying a computational deconvolution method, we performed a cell-type based EWAS for HIV infection in three independent cohorts (Ntotal = 1,382). DNA methylation in blood or in peripheral blood mononuclear cells (PBMCs) was profiled by an array-based method and then deconvoluted by Tensor Composition Analysis (TCA). The TCA-computed CpG methylation in each cell type was first benchmarked by bisulfite DNA methylation capture sequencing in a subset of the samples. Cell-type EWAS of HIV infection was performed in each cohort separately and a meta-EWAS was conducted followed by gene set enrichment analysis.

Results

The meta-analysis unveiled a total of 2,021 cell-type unique significant CpG sites for five inferred cell types. Among these inferred cell-type unique CpG sites, the concordance rate in the three cohorts ranged from 96% to 100% in each cell type. Cell-type level meta-EWAS unveiled distinct patterns of HIV-associated differential CpG methylation, where 74% of CpG sites were unique to individual cell types (false discovery rate, FDR <0.05). CD4+ T-cells had the largest number of unique HIV-associated CpG sites (N = 1,624) compared to any other cell type. Genes harboring significant CpG sites are involved in immunity and HIV pathogenesis (e.g. CD4+ T-cells: NLRC5, CX3CR1, B cells: IFI44L, NK cells: IL12R, monocytes: IRF7), and in oncogenesis (e.g. CD4+ T-cells: BCL family, PRDM16, monocytes: PRDM16, PDCD1LG2). HIV-associated CpG sites were enriched among genes involved in HIV pathogenesis and oncogenesis that were enriched among interferon-α and -γ, TNF-α, inflammatory response, and apoptotic pathways.

Conclusion

Our findings uncovered computationally inferred cell-type specific modifications in the host epigenome for people with HIV that contribute to the growing body of evidence regarding HIV pathogenesis.

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10957090 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Computationally inferred cell-type specific epigenome-wide DNA methylation analysis unveils distinct methylation patterns among immune cells for HIV infection in three cohorts.

Zhang Xinyu X   Hu Ying Y   Vandenhoudt Ral E RE   Yan Chunhua C   Marconi Vincent C VC   Cohen Mardge H MH   Wang Zuoheng Z   Justice Amy C AC   Aouizerat Bradley E BE   Xu Ke K  

PLoS pathogens 20240311 3


<h4>Background</h4>Epigenome-wide association studies (EWAS) have identified CpG sites associated with HIV infection in blood cells in bulk, which offer limited knowledge of cell-type specific methylation patterns associated with HIV infection. In this study, we aim to identify differentially methylated CpG sites for HIV infection in immune cell types: CD4+ T-cells, CD8+ T-cells, B cells, Natural Killer (NK) cells, and monocytes.<h4>Methods</h4>Applying a computational deconvolution method, we p  ...[more]

Similar Datasets

| S-EPMC3712321 | biostudies-literature
| S-EPMC4454894 | biostudies-literature
| S-EPMC10940014 | biostudies-literature
| S-EPMC7686485 | biostudies-literature
| S-EPMC6014712 | biostudies-literature
| S-EPMC9106882 | biostudies-literature
| S-EPMC4908326 | biostudies-literature
| S-EPMC3368822 | biostudies-other
| S-EPMC3892431 | biostudies-literature
| S-EPMC9160220 | biostudies-literature