| Literature DB >> 28785369 |
Zijun Wang1, Christopher Chang2, Mou Peng3, Qianjin Lu1.
Abstract
Systemic lupus erythematosus (SLE) is a chronic relapsing-remitting autoimmune disease with highly heterogeneous phenotypes. Biomarkers with high sensitivity and specificity are useful for early diagnosis as well as monitoring disease activity and long-term complications. Epigenetics potentially provide novel biomarkers in autoimmune diseases. These may include DNA methylation changes in relevant lupus-prone genes or histone modifications and microRNAs to upregulate and downregulate relevant gene expression. The timing and nature of epigenetic modification provide such changes. In lupus, DNA methylation alterations in cytokine genes, such as IFN-related gene and retrovirus gene, have been found to offer biomarkers for lupus diagnosis. Histone modifications such as histone methylation and acetylation lead to transcriptional alterations of several genes such as PTPN22, LRP1B, and TNFSF70. There are varieties of microRNAs applied as lupus biomarkers, including DNMT1-related microRNAs, renal function-associated microRNAs, microRNAs involved in the immune system, and microRNAs for phenotype classification. Thus, we conclude a wide range of promising roles of epigenetic biomarkers aiding in the diagnosing and monitoring of lupus diseases and the risk of organ damage.Entities:
Keywords: Biomarker; DNA methylation; Epigenetic modification; Histone modification; MicroRNAs; Systemic lupus erythematosus
Mesh:
Substances:
Year: 2017 PMID: 28785369 PMCID: PMC5541721 DOI: 10.1186/s13148-017-0378-7
Source DB: PubMed Journal: Clin Epigenetics ISSN: 1868-7075 Impact factor: 6.551
Fig. 1A description of the three main epigenetic mechanisms involved in SLE pathogenesis: DNA methylation, histone modification, and RNA-based mechanisms, which can alter genome and generate various gene expression profiles. DNA methylation is catalyzed by transferring a methyl group to the five positions of cytosine in DNA. Histone modifications refer to covalent posttranslational modifications of the nucleosomal histones H2A, H2B, H3, and H4, with one H3–H4 tetramer and two H2A–H2B dimers. The lysine and arginine residues of histone proteins that extrude from the nucleosome can be modified via methylation, acetylation, phosphorylation, or ubiquitylation, which can be altered with variants or chemical modifications on their histone tails. The most recent mechanism of epigenetic inheritance involves some RNAs, which may play a significant role in producing higher-order chromatin structures in nucleosomal chains. Several methylation-sensitive genes (CD11a, CD70, perforin, CD40L IFN-related genes, and CD5), histone modifications (histone deacetylation, H3k4me2, and H3K4me3), and microRNAs (miR-21, miR-126, miR-148a, miR-125a, miR-142, miR-29, miR-101, miR-17–miR-92) have been noted to illustrate their involvement in lupus pathogenesis
The dynamic nature of DNA methylation alterations
| DNA methylation marker | Expression level of target gene | Clinical correlation and SLE disease association | Possible mechanisms | Ref. |
|---|---|---|---|---|
| Cytokine methylation biomarkers | ||||
| IL10 and IL1R2 hypomethylation | ↑(white blood cell) | Positively correlated with the SLEDAI score | Increased level of IL-10, decreased level of IL-1 | [ |
| IL6 hypomethylation | ↑(PBMC) | Positively correlated with renal damage and SLE flare and negatively correlated with serum C3 and C4 | Increased level of IL6 | [ |
| IFN-related gene biomarker | ||||
| IFI44L hypomethylation | ↑(PBMCs) | Positively correlated with renal damage or disease activity | Increased type I IFN response signature | [ |
| Specific methylation region marker | ||||
| FOXP3 TSDR methylation | ↑(PBMC) | Positively correlated with the SLEDAI score and disease activity | Decreased level of nTreg cells | [ |
| Retrovirus gene methylation marker | ||||
| HERV-E and HERV-K hypomethylation | ↑(T cell) | Positively correlated with the SLEDAI score and anti-U1 RNP and anti-Sm antibodies, complementary, lymphopenia | Increased level of HERVs | [ |
Major markers for lupus susceptibility and monitoring
| Histone modification marker | Expression level of target gene | Clinical correlation and SLE disease association | Possible mechanisms | Ref. |
|---|---|---|---|---|
| Histone methylation marker | ||||
| H3K4 trimethylation | ↑(PBMCs) | Positively correlated with disease severity | Several candidate genes related to SLE pathogenesis (such as PTPN22, LRP1B) are involved | [ |
| Histone acetylation marker | ||||
| H3K4 hypoacetylation | ↑(CD4+ T cell) | Positively correlated with disease severity | [ | |
miRNAs as biomarkers in different clinical types of SLE
| MicroRNA marker | Expression level of target gene | Clinical correlation and SLE disease association | Possible mechanisms | Ref. |
|---|---|---|---|---|
| DNMT1-related microRNAs as a biomarker | ||||
| miR-126 | Positively correlated with disease activity | Induces DNA hypomethylation | [ | |
| miR-21 | Positively correlated with the SLEDAI score, SLE flares, and remission | |||
| miR-148a | ↑(PBMCs) | Positively correlated with the SLEDAI score | Induces DNA hypomethylation | [ |
| MicroRNA biomarkers to evaluate renal dysfunction | ||||
| miR-130b-3p | ↑(serum) | Positively correlated with renal damage | Promote EMT by targeting ERBB2IP | [ |
| miR-26a and miR-30b | ↓(kidney and urine) | Positively correlated with disease activity | Control of mesangial cell proliferation and cell cycle-related genes | [ |
| Downregulate the anti-fibrotic protein suppressor of cytokine signaling 1 (SOCS1) and upregulate profibrotic proteins in both proximal tubular and mesangial cells | ||||
| miR-150 | ↑(kidney) | Positive correlation with chronicity scores | [ | |
| Extracellular vesicle miRNAs | ||||
| miR-26a | ↑(urine exosomes) | Positive correlation with lupus nephritis, urinary protein levels | Decreased the expression of genes associated with the podocyte differentiation and formation of the cytoskeleton | [ |
| miR-29c | ↓(urinary exosomes) | Negatively correlated with the histological chronicity index and glomerular sclerosis | Exacerbate renal fibrosis by targeting epithelial-to-mesenchymal transition and increasing the deposition of extracellular matrix | [ |
| Immune-related microRNAs as biomarkers | ||||
| miR-146a | ↓(CD4+ T cells, serum) | Negative correlated with disease activity, proteinuria, lupus nephritis, GFR, histological activity index | Negative regulator in the IFN pathway | [ |
| Controversial (CD4+ T cells, serum) | Positively correlated with proteinuria and SLEDAI score | Aim at SHIP11 to maintain an activation threshold that allows B cells to respond to antigens | [ | |
| miR-155 | ↓(Lymphocytes) | No correlation with disease activity | Promoting T cell activity and antibody generation | |
| hsa-miR-142 | Negatively correlated with the SLEDAI score, lupus nephritis (GFR and creatinine ratio) | Increased level of inflammatory chemokine regulated on activation, normal T cells expressed and secreted (RANTES) in SLE T cells | [ | |
| miR-125a | ↓(CD4+ T cells, urine) | [ | ||
| miR-31 | ↓(T cell) | Negatively associated with diseases activity and urine protein | Reduced expression of IL-2 | [ |
| miR-21 | ↑(T cell) | Positively associated with diseases activity and urine protein | T cell activation | [ |
| MicroRNA biomarkers to classify disease phenotype | ||||
| hsa-miR-30e-5p, hsa-miR-92a-3p, and hsa-miR-223-3p | ↑(plasma) | hsa-miR-223-3p is connected to oral ulcer and lupus anticoagulant | Not mentioned | [ |
| miR-326 | ↑(Treg) | Regulating immune cell function | [ | |