Background:
N6-methyladenosine (m6A) modification is widespread in eukaryotic mRNA, regulated by m6A demethylase, AlkB homolog 5 (ALKBH5). However, the role of m6A in systemic lupus erythematosus (SLE) is still obscure. We explored ALKBH5 expression in SLE patients and its effects on T cells.
Methods:
100 SLE patients and 110 healthy controls were recruited to investigate the expression of ALKBH5 in peripheral blood mononuclear cells (PBMCs). An additional 32 SLE patients and 32 health controls were enrolled to explore the expression of ALKBH5 in T cells. Then we explored the function of ALKBH5 in T cells by lentivirus.
Results:
The expressions of ALKBH5 were downregulated in both PBMCs and T cells in SLE patients (all P<0.05). In PBMCs: ALKBH5 mRNA levels were associated with complement C4 level in plasma (P<0.05). In T cells: ALKBH5 mRNA levels were downregulated in SLE patients with low complement levels, high anti-dsDNA, anti-Sm, anti-RNP, and proteinuria compared with those without, respectively (all P<0.05); ALKBH5 mRNA levels were negatively related with SLE disease activity index score, erythrocyte sedimentation rate, and anti-dsDNA levels (all P<0.05), and positively correlated with complement C3 and C4 level (all P<0.05). Functionally, the overexpression of ALKBH5 promoted apoptosis and inhibited the proliferation of T cells (all P<0.05).
Conclusion:
Conclusion: ALKBH5 expression is downregulated in SLE patients and could affect the apoptosis and proliferation of T cells, but the exact mechanism still needs to be further explored.
Background:
Epigenetic modifications have recently attracted much attention in the study of the biological mechanisms of acute myelocytic leukemia (AML) for therapy and prognosis. However, studies on DNA methylation changes during AML treatment are limited.
Objective:
The comprehensive DNA methylation-transcriptome profiles association analysis in this study aimed to establish whole-genome DNA methylation profiles and explore DNA methylation-related genes and their potential functions before and after treatment. And more appropriate biomarkers are expected to be identified for therapy strategies in AML.
Method:
Illumina 450K and RNA-Seq data were obtained from The Cancer Genome Atlas. We performed comprehensive DNA methylation-transcriptome profiles association analysis, pathway analysis, correlation analysis, and survival analyses. The StarBase database was utilized to predict interactions between lncRNAs, miRNAs and target mRNAs.
Results:
In total, 1592 distinct CpG sites and 2419 different expression transcripts were identified between pre-treatment and post-treatment AML. The significantly enriched functions of methylated genes were stem cell differentiation, cell population maintenance, and cell development. The expression of UGT3A2, MOG, and VSTM1 was correlated with DNA methylation levels (r2>0.5). Lastly, we identified 4 lncRNAs, 9 miRNAs and 142 mRNAs to construct a lncRNA-miRNA-mRNA ceRNA network.
Conclusion:
Our results revealed that DNA methylation was altered before and after treatment. Alterations in DNA methylation affected target gene expression and participated in the key biological processes of AML. Therefore, ceRNA networks may provide further insight into the study of favorable therapeutic markers in AML.
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