| Literature DB >> 35563266 |
Alessio Gerussi1,2, Elvezia Maria Paraboschi3,4, Claudio Cappadona3,4, Chiara Caime1,2, Eleonora Binatti1,2, Laura Cristoferi1,2, Rosanna Asselta3,4, Pietro Invernizzi1,2.
Abstract
Primary Biliary Cholangitis (PBC) is a rare autoimmune disease of the liver, affecting mostly females. There is evidence that epigenetic changes have a pathogenic role in PBC. Epigenetic modifications are related to methylation of CpG DNA islands, post-translational modifications of histone proteins, and non-coding RNAs. In PBC, there are data showing a dysregulation of all these levels, especially in immune cells. In addition, epigenetics seems to be involved in complex phenomena such as X monosomy or abnormalities in the process of X chromosome inactivation, which have been reported in PBC and appear to influence its sex imbalance and pathogenesis. We review here historical data on epigenetic modifications in PBC, present new data, and discuss possible links among X-chromosome abnormalities at a genetic and epigenetic level, PBC pathogenesis, and PBC sex imbalance.Entities:
Keywords: autoimmunity; chromosome X; non-coding RNA; sex bias; somatic mosaicism
Mesh:
Year: 2022 PMID: 35563266 PMCID: PMC9105933 DOI: 10.3390/ijms23094873
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Epigenetic modifications in PBC. (a) DNA methylation refers to the transfer of a methyl group onto the C5 position of the cytosine to form 5-methylcytosine in CpG sites, and typically, it induces gene silencing. In PBC cases, a significantly reduction in methylation level of CD40L and CXCR3 promoters was observed in CD4+ cells, resulting in a higher expression of these genes. (b) Histone modifications, e.g., acetylation, are post-translational modifications that affect histones and impact their interaction with DNA. PBC patients have high expression levels of βarr1 in T lymphocytes, which controls acetylation of histone H4 in the promoter regions of several genes (CD40L, LIGHT, IL17, IFN-γ, TRAIL, HDAC7A). (c) Non-coding RNAs are RNAs that do not encode proteins. In PBC, overexpression of microRNA miR-506 results in the dysregulation of AE2, pro-inflammatory, and pro-fibrotic genes expressions. Additionally, XIST RNA, a long non-coding RNA, controls the inactivation of one of two ChrXs in females for dosage compensation. Some genes with immune-related functions and located on the inactive ChrX (Xi) are known to escape XCI (e.g., CD40L, CXCR3, TLR7). This suggests a possible link between the altered expression of genes from the Xi and a greater susceptibility to autoimmunity disorders. (d) The center of epigenetic gene regulation is represented by the chromatin organization. Chromatin is a complex of DNA and proteins, and it is organized in euchromatin and heterochromatin. These two different structures influence the accessibility of promoter regions to transcription factors. There is a lack of data in PBC.
Dysregulation of miRNAs in Primary Biliary Cholangitis.
| miRNAs | Tissue | Notes | Reference |
|---|---|---|---|
| miR-122a, miR-26a, miR-328, miR-299-5p | Liver | miR-122a/miR-26 DOWN | Padgett et al., 2009 [ |
| miR-506 | Liver | miR-506 UP | Banales et al., 2012 [ |
| miR-15a-5p, miR-20a-5p, miR-140-3p, miR-106b-5p, miR-3654, miR-181a-5p | PBMCs | abnormal expression of 17 miRNAs that control cell differentiation and signal transduction | Qin et al., 2013 [ |
| hsa-miR-505-5p, hsa-miR-141-3p, has-miR-26b-5p | Sera | hsa-miR-505-3p/miR-197-3p DOWN | Ninomiya et al., 2013 [ |
| hsa-miR-122-5p, hsa-miR-141-3p, hsa-miR-26b-5p | Sera | disease biomarkers | Tan et al., 2014 [ |
| miRNA-122, miRNA-378, miRNA-4311, miRNA-4714-3p | Sera | risk stratification | Sakamoto et al., 2016 [ |
| miR-92a | Sera, PBMC | pathogenesis (Th17 cell differentiation) | Liang et al., 2016 [ |
Characteristics of differentially methylated genes in PBC showing signals of association with the disease at p < 0.0005.
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| MZ twins | serum | Variable | 5.89/0.94 |
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| MZ twins | serum | Hyper-methylated | 0.12/0.25 |
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| cases vs. controls | serum (CD14+) | Hyper-methylated | 0.17/0.10 |
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| cases vs. controls | serum (CD4+) | Hypo-methylated | 1.89/0.030 |
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| cases vs. controls | serum (CD4+) | Hypo-methylated | 33.37/55.74 |
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| cases vs. controls | serum (CD4+) | Hyper-methylated | 35.06/31.37 |
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| cases vs. controls | serum (CD8+) | Hypo-methylated | Not expressed |
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| cases vs. controls | serum (CD14+) | Hypo-methylated | 20.97/5.21 |
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| cases vs. controls | serum (CD14+) | Hyper-methylated | 4.80/60.37 |
Data on methylation status were retrieved from the literature [24,31,70]; data on expression status in liver and whole blood were retrieved from the GTEx portal (https://gtexportal.org/home/, accessed on 1 December 2018).TPM corresponds to transcripts per million reads (RNAseq data) normalized for transcript/gene length.
Enrichment in non-coding elements in PBC.
| Set | Regions (n) | Regions § (kb) | DNA Content (Mb) | LncRNAs (n) | CircRNAs (n) | MiRNAs (n) | SEs (n) |
|---|---|---|---|---|---|---|---|
| PBC set | 62 | 150.3 | 9.3 | 22 | 362 | 9 | 351 |
| SD | - | 116.9 | - | - | - | - | - |
| Random sets * | 62.0 | 152.8 | 9.3 | 18.6 | 177.0 | 10.0 | 370.1 |
| SD | - | - | - | 4.6 | 78.0 | 7.2 | 51.4 |
| % ** | - | - | - | 24.5 | 5.1 | 46.5 | 63.6 |
| - | - | - | 0.25 | 0.05 | 0.47 | 0.64 |
The analyses were performed on the PBC-associated loci (upper part) and on 1000 random sets (lower part). § Average length of the genomic regions comprising the SNPs of interest. * For the random sets analysis, the average values calculated on 1000 iterations are indicated. ** % of times in which the same or a larger number of lncRNAs, circRNAs, and miRNAs was obtained in the 1000 iterations as compared to the PBC dataset. p values were calculated as described [73]; significant p value is indicated in bold. CircRNA, circular RNA; lncRNA, long non-coding RNA; miRNA, microRNA; n, number; SD, standard deviation; SE, super enhancer.