NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.
Anaya JM, Shoenfeld Y, Rojas-Villarraga A, et al., editors. Autoimmunity: From Bench to Bedside [Internet]. Bogota (Colombia): El Rosario University Press; 2013 Jul 18.
Introduction
Epigenetics was defined by Conrad Waddington in the early 1940s as The branch of biology which studies the causal interactions between genes and their products which bring the phenotype into being (1). Currently, epigenetics is defined as the study of changes in gene function that are heritable and that do not entail a change in DNA sequence (2). As has been mentioned before, all these mechanisms are heritable thus the epigenetic marks have the ability to persist during development and potentially be transmitted from offspring to offspring. These mechanisms play an essential role in: regulation of gene and microRNA (miRNA) expression, DNA-protein interactions, cellular differentiation, embryogenesis, X-chromosome inactivation, and genomic imprinting (3).
One of the main functions of epigenetics is gene regulation. Gene regulation plays an important role in determining individual gene function and activity, sets of genes which are functional in each specific cell type, cell type development and differentiation, and metabolic plasticity of the cell that allows it to adapt itself to environmental changes. But it is important to note that epigenetics is not the only determinant in gene function. There are intrinsic components that are stable over time and are the same in each cell type. These intrinsic components such as polymorphism and mutations are one of the mechanisms that affect gene expression. Also, the environment (virus, hormones, nutrition, and chemicals) influence epigenetics and the intrinsic components thus altering gene function (4).
The interaction between environment and epigenetics is only one of the mechanisms by which a large range of different phenotypes arise from the same genotype such as in the case of monozygotic twins. Monozigotic twins have an identical DNA sequence, but studies had found some phenotypical differences that may be the consequence of different exposure to environmental stressors. This exposure produces alterations in the DNA methylation pattern and histone modification (5,6). This approach may be one of the causes of the differences found in the concordance rate of autoimmune diseases between homozigotic twins (Table 1) (7–22).
Table 1
Concordance rate of autoimmune diseases between monozygotic twins.
Another example of how epigenetics interact with the environment is in the study of Agouti pregnant rodents. In this study, researchers fed Agouti pregnant rodents food rich in methyl donors and they found that the offspring of these rodents had a different coat color because of an altered DNA methylation process in comparison to the offspring of pregnant rodents fed a normal diet (Figure 1) (23). Other researchers showed that Dutch who were exposed prenatally to famine during Dutch Hunger Winter in World War II. Because of the lack of nutrients during the prenatal life of these individuals, there was a deficiency in methyl donors such as the amino acid methionine that causes the hypomethylation of the maternally imprinted insulin-like growth factor II (IGF-2) differentially methylated region (DMR) in comparison to unexposed and same sex siblings. The IGF-2 gene plays a key role in human growth and development, thus this finding supports the fact that early mammalian development is important for establishing and maintaining epigenetic marks (24,25).

Figure 1
Epigenetics – environment Interaction. Offsprings from Agouti pregnant rodent fed with food rich in methyl donors such as folic acid, had a different coat color because of an altered DNA methylation process.
Many studies had been done with the Dutch Hunger Winter cohort from World War II. One of them looked for differences in birth weight between offspring of mothers who were exposed to famine in early and late gestation. The authors found that epigenetic differences were found in individuals who were exposed to famine in early gestation but individuals also were born with a normal birth weight. In contrast, individuals exposed to famine in late gestation were born with low birth weight, but they didnt have any epigenetic changes (23). At the same time, other studies had demonstrated that those individuals exposed to famine during the gestational period have a higher risk of developing schizophrenia and dyslipidemia. One of these studies demonstrated that there are sex-specific differences in the pattern of atherogenic lipids at the age of 58. Women showed elevated serum concentration of total cholesterol, LDL, and tiglycerides in comparison with unexposed women (26,27). Also, it was found that exposed women had a wide range of indexes of body mass and thus had a higher risk of obesity and developing chronic diseases (28–30). Other studies have shown that individuals exposed to famine in early gestation have an increased risk of schizophrenia in both males and females, but individuals who were exposed in later gestation have a higher risk of developing affective disorder in the schizophrenic spectrum (31–33).
Nowadays, literature about how environmental factors may affect epigenetic mechanisms is increasing. Indeed in the last few years, some studies have investigated the relationship between socio-economic status (SES) and epigenetic differences, and their impact on risk and disease development. McGuinness D. et al., studied the global methylation content in individuals from the Glasgow-Based pSoBid cohort to elucidate differences in prevalence between more and less privileged groups. This work showed global DNA hypomethylation in the most deprived participants in comparison to more privileged ones, thus showing a relationship between hypomethylation status and biomarkers of cardiovascular disease and systemic inflammation such as an increase in IL-6 levels (34). Another study was done with forty adult males from the 1985 British Birth Cohort Study to look for the methylation state of promoters in individuals with extreme SES. Some limitations on the study are: individuals are only males and the blood samples were taken only in adulthood. However, authors found differential methylation in promoters for basic cell functions and signaling between SES groups (35). Tehranifar P.et al., used a cohort of US birth women to examine if early life and adult SES were associated with methylation of repetitive elements Sat2, Alu, and LINE-1. The results showed higher Sat2 and Alu methylation in individuals with low family income at birth which may predispose to disease development (36). As the study mentioned before, a limitation on the study was the use of a cohort of only women. Although all these studies give us a point of view of how SES affects the methylation status, it is important to mention that there is a lack of studies on gene-specific methylation status and SES. Also, it is important to remember that a variety of social conditions may affect methylation such as: diet, physical activity, alcohol intake, organic solvents, and pollutants in water and air (37,38). These studies are of great importance because it is known that cells may be influenced during development by environmental stressors that alter the epigenome and persist throughout life because it is maintained after mitosis. This could be an explanation for altered phenotypes and disease development (39).
Epigenetic mechanisms
There are different epigenetic mechanisms that regulate gene expression by activating or repressing gene expression: DNA methylation, histone modification, nucleosome positioning and RNAi (miRNAs and siRNAs) (2). It is important to mention that all these epigenetic mechanisms act together at the same time to regulate gene expression and not separately.
DNA methylation
DNA methylation occurs in different regions of the genome and it is important in the embryogenesis, cellular differentiation, and tissue-specific development. It is noteworthy that DNA methylation varies among tissues and cellular types because of a dynamic process involving methylation and demethylation events (40–42). Once there is an alteration in DNA methylation and demethylation patterns, it will give rise to dysfunctional cells and consequently disease. Methylation is mediated by the DNA methyltransferase (DNMT) family which is in charge of donating a methyl group to DNA 5-cystosine producing a 5-methylcytosine (5-mC). This family of enzymes has 5 members: DNMT1, DNMT2, DNMT3a, DNMT3b, and DNMT3L. At the same time, DNMTs can be classified into de Novo and maintenance DNMTs (Figure 2) (2). De Novo DNMTs are DNMT3a and DNMT3b, and they are in charge of methylation during embryonic development. DNMT1 is the maintenance DNMT, which is in charge of methylate hemi-methylated sites that are generated during DNA replication. DNMT2 acts on transfer RNA and DNMT3L acts on embryogenesis (43).

Figure 2
Classification of DNMTs. DNMTs can be classified in de novo and maintenance. de novo DNMTs are involved in methylation during embryonic development and maintenance DNMTs are involved in methylation during DNA replication.
The other mechanism that counteracts DNA methylation is demethylation. Demethylation can be passive or active (2). The first one is induced by inhibition of DNMT activities such as in the case of several drugs that are used as therapeutic compounds to erase aberrant hypermethylation. This inhibition produces the passive removal of methyl groups by the absence or dilution of the enzyme (44). Active demethylation, in turn, occurs in cell differentiation and has been found in the activation of immune cells (45). This process depends on cytosine deaminase in which its activation induces cytidine deaminase (AICDA) that deaminates 5-methylcytosine (46). Even though this was the first mechanism suggested, there is now evidence about three enzymatic families that activate demethylation: Ten-Eleven translocation family (TET), AID/APOBEC family, and the base excision repair glycosylases (BER). TET proteins (TET 1, 2, and 3) catalyze the conversion of 5-mC to 5-hidroxymethylcytosine (5-hmC). Furthermore this product is oxidized to 5-formylcytosine (5-fC) and 5-carboxylmethylcitosine (5-caC) (47). This conversion is followed by a deamination caused by the AID/APOBEC family of 5-hmC to 5-hidroxymethyluracyl (5-hmU). Here the active process of demethylation starts. The product 5-hmU is then replaced through the BER enzyme family to an unmethylated cytosine. The BER family is composed of a glycosylase member family such as thymine DNA glycosylase (TDG) and single-strand selective monofunctional uracil DNA glycosylase 1 (SMUG1). The function of these enzymes is DNA repair by the replacement of unstable products with unmethylated cytosines. They also interact with transcription factors, histone acetyltransferases, and de novo DNMTs (48–50). Moreover, there is evidence that RNA polymerase II interacts with 5-fC and 5-caC producing a signal for the recruitment of TDG and BER (51). All this information opens the door to new evidence about the demethylation mechanisms in gene imprinting. Hackett J. et al., demonstrated that demethylation in primordial germ cells occurs by TET1 and TET2 enzymes and this conversion to 5-hmC occurs in a temporal order depending on the imprinted Differentially Methylated Regions (DMR) (52).
It is important to understand that when there is a methylation state, transcription will be repressed; in contrast, when there is an unmethylated state, transcription will be permitted. Transcription inhibition is achieved because methyl groups interfere with the binding of transcription factors that activate transcription from a specific gene. Many of these transcription factors recognize mainly CpG sequences, but when these sequences are methylated they are unable to bind DNA. An additional mechanism of transcriptional repression involves proteins that are attracted to methylated CpG sequences. These proteins are part of a family methyl-CpG-binding domain (MBD), and they recognize methylated sequences to provide a further signal to alter chromatin structure by formation of a co-repressor complex (53).
There are four possible DNA methylation patterns. The first methylation pattern and the most widely studied is the methylation of CpG islands in promoter regions of genes. These CpG islands are regions of more than 200 bases with a G + C content of at least 50%. Many human gene promoters (60%) are associated with CpG islands and their basal state is unmethylated to allow transcription (Figure 3a) (53,54). The second pattern is DNA methylation of CpG island shores which are regions of lower CpG density in close proximity (~2 kb) to CpG islands. This pattern is similar to the CpG island methylation pattern in which methylation is closely associated with transcriptional inactivation. It is important to note that most of the tissue-specific DNA methylation occurs in these regions (Figure 3b) (53,55).
In contrast to both above mechanisms mentioned, the third pattern occurs in gene bodies where their basal state is to be methylated to avoid transcription, thus preventing spurious transcription initiations (Figure 3c) (56). In disease, gene bodies are demethylated to allow transcription initiation at incorrect sites. DNA methylation also take place at CHG and CHH (H = A, C or T) sites in the human genome. This methylation has been predominantly found in stem cells and seems to be enriched in gene bodies directly co-rrelated with gene expression. The last pattern is hypermethylation of repetitive sequences that protect chromosomal integrity by preventing reactivation of endoparasitic sequences, thus causing chromosomal instability, translocations, and gene disruption (Figure 3d) (57).
Histone modifications
Histones are conserved proteins that package and order DNA. These proteins can be grouped in core histones (H2A, H2B, H3 and H4) and linker histones (H1and H5). The linker histones bind to the DNA to seal off the nucleosome at the location where DNA enters and leaves (58).
Histones suffer some post-translational modifications such as lysine acetylation and methylation, phosphorylation, ubiquitination, SUMOylation, and ADPribosylation. Histone modifications play an important role in transcriptional regulation, DNA repair, DNA replication, and chromosome condensation (58,59). Of all these modifications, the one most widely studied is lysine acetylation. In this process histones are acetylated and deacetylated on lysine residues in the N-terminal tail. These reactions are catalyzed by histone acetyltransferases (HATs) or histone deacetylases (HDACs), respectively (60,61). HATs promote gene expression by transferring an acetyl group to lysine and HDACs promote gene repression by removing an acetyl group from the lysine tail (Figure 4). At present, it is known the presence of 4 classes of HDAC. Class I HDACs are localized in the cellular nucleus whereas class II shuttles between cytoplasm and nucleus. Class III HDACs are members of sirtuin family, and they are structurally different to the other ones because their activity depends on the cofactor NAD+. The last HDACs is the class IV which its only member, is HDAC-11 and it is found in the nucleus and has structural similarities with class I and II that are also metallohydrolyases dependent on Zn++ (Table 2) (62).
Table 2
Histone Deacetylation Enzymes (HDAC).
Another group of enzymes playing a role in histone methylation are histone methyltransferases (HMTs) and histone demethylases (HDMTs). HMTs can add methyl groups to lysine residues at three sites to form a mono-, di-, or trime-thylated lysine. Also the methyl group can be donated to an arginine residue. It is important to mention that the site where the methyl group is added and the number of methylation may affect in a different way the chromatin structure and the gene expression. One of the most studied histone methylation is the methylation at lysine 9 on histone 3 (H3K9) (63). Activation of gene transcription is associated with H3K4, H3K36, and H3K79 whereas gene silencing and chromatin condensation is related to H3K9 and H3K27 (62,64,65). There are also two groups of demethylating enzymes which remove the mono- and dimethylations or all methyl groups from lysines. This family of enzymes is composed by the lysine-specific demethylase 1 (LSD1). LSD1 is a monoamine oxidase which uses a flavin adenine dinucleotide (FAD) as a cofactor to oxidize the amine group of methylated lysine (66–68).
It is important to note that histone modification may act together with DNA methylation states. An example of how these modifications act on transcriptional regulation is the histone deacetylation with the association of 5’ methylcytosine in the DNA which confers a heterochromatin configuration that makes DNA inaccessible to transcription factors. On the other hand, acetylation of histone tails (H3K9) and DNA demethylation causes euchromatin configuration which is accessible to transcription machinery (69). It is important to mention that many post-translational modifications can occur at the same histone tail and at same time to produce the repression or the activation of gene expression (70). For example, during the cell cycle, there is a regulatory relationship between methylation of histone H3 lysine 9 (H3K9) and phosphorylation of H3 serine 10 (H3S10). Phosphorylation of H3S10 is required for chromosomal condensation. During early prophase and anaphase, there are high quantities of H3S10 phosphorylation; in contrast, during late anaphase dephosphorylation occurs and H3K9 methylation reemerges. Therefore, H3S10 phosphorylation blocked methylation of H3K9 but not demethylation in the same residue permitting the access of transcription factors to DNA during mitosis. Also, phosporylation preserves methylation patterns during cell division (71).
Nucleosome positioning
Nucleosome is the complex produced by the histones and the packaged DNA. There are nucleosome positioning patterns that have an important role in transcriptional regulation. Depending on the position that nucleosomes have around transcription start sites (TSSs), they block the access of activators and transcription factors to the DNA strand thus inhibiting elongation of the transcripts. Active gene promoters have a nucleosome free region at the 5’ and 3’ UTR to facilitate the assembly and disassembly of the transcription machinery (72). For example, nucleosome displacements of as few as 30 bp at TSS have been implicated in changes in the activity of RNA polymerase II. When there is a loss of a nucleosome upstream of the TSS, transcription factors bind to the TSSs and gene expression is achieved. In contrast, when there is an occlusion of the TSS by a nucleosome, transcription machinery do not bind to the TSSs and gene repression occurs. Also, DNA methylation influences nucleosome positioning because they are associated with formation of heterochromatin where DNA is condensed into positioned nucleosomes to prevent transcription (73).
miRNAs
miRNAs are 18 – 23 nucleotide RNAs in length that function as post-transcriptional regulators. They regulate mRNA translation by binding to complementary sequences that are cleavaged or repressed. Many miRNAs are transcribed from intergenic regions or from introns of protein-coding genes and, sometimes, they are expressed at the same time that is transcribed the protein gene. Just a few miRNAs have been located in exons of protein-coding genes. Of all these miRNAs, the intergenic miRNAs are the ones which have their own gene promoter and regulatory region (74).
The translational repression and target degradation of mRNAs is achieved by the level of complementarity between miRNA strands and the site in the 3’ UTR targets. If there is a complete complementation, there is a cleavage of the mRNAs and it will produce degradation. On the other hand, if there is an incomplete complementation, translation will be prevented by taking the transcripts into P bodies to keep them in a silenced state using proteins that prevent translation or removal of the cap structure. Another mechanism by which miRNAs affect gene expression is by histone modification and DNA methylation of promoter sites. This mechanism occurs thanks to RNA-induced transcriptional silencing (RITS) complex (Figure 5). This protein complex binds to miRNAs to do post-translational modification of histone tails such as methylation of lysine 9 of histone 3 to form heterochromatin and to cause transcriptional repression (74,75).
Epigenetics and autoimmunity
Autoimmune diseases are a complex group of diseases with different epidemiology, pathology, and symptoms but with a common origin (76). All autoimmune diseases share immunogenetic mechanisms that are part of a pleiotropism of several repertoires of genes. Many studies over the years have shown that these diseases are caused by alterations at many loci and in genes of the human genome (77). But until recent years, epigenetic studies have been focusing on autoimmune diseases. Therefore, is important to underline that autoimmune diseases may be generated by many alterations in the same epigenetic mechanism. Also, it is essential to understand that epigenetics is not the only mechanism that may cause autoimmunity; instead there are intrinsic and extrinsic components (mutations, polymorphisms and environmental factors) that predispose to autoimmunity.
DNA methylation and autoimmune diseases
As we mentioned at the beginning of this review, DNA methylation is the most widely studied mechanism in autoimmune diseases. Several studies done so far have found that some diseases such as systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) have a global hypomethylation in promoter regions of DNA in their target cells (Table 3). The other autoimmune diseases are just beginning to be studied for methylation pattern.
Table 3
Summary of epigenetic mechanisms involved in autoimmune diseases.
Systemic lupus erythematosus
SLE is a systemic multiorgan autoimmune disease characterized by autoantibody response to nuclear and/or cytoplasmic antigens. Several studies have shown that there is a global hypomethylation of promoter regions that contain the genes that are overexpressed in the disease such as: ITGAL, CD40LG, PRF1, CD70, IFGNR2, MMP14, LCN2, and in ribosomal RNA gene promoter (18S and 28S) (78–82). The DNA hypomethylation may also affect the chromatin structure of T-cells thus enhancing the overexpression of these genes. This gene overexpression will cause cellular hyperactivity, perpetuation of the immune response and, consequently, perpetuation of inflammatory response (83–85).
An example of how hypomethylation alters gene expression in SLE is the hypomethylation of e1B promoter of CD5 in resting B cells. CD5 is a protein found in B cells that serves to mitigate activating signals from the BCR so that B cells are only activated by strong stimuli and not by normal tissue proteins. CD5 has two isoforms: e1A which is expressed on the membrane and e1B which is retained in the cytoplasm. The hypomethylation of e1B promoters may be the consequence of a reduced expression of DNMT1. Therefore, there is an increase in the expression of this CD5 isoform that will cause impairment in cell receptor signaling and thus promote autoimmunity (86). There are other studies where hypomethylation of the IL-10 and IL-1R2 genes is found in SLE patients and their relationship with disease severity. It is important to mention the importance of IL-10 for inhibition of T-cell function and encouragement of the B cell mediated function, while IL-1R2 interferes with IL-1 binding to its receptor IL-1R1 (87). Also, there is evidence of the abnormal expression of DNMT1 and MBD2 in PBMCs from SLE patients, in whom a decrease in the expression of DNMT1 and higher level of MBD2 mRNA was found in those patients. This finding is consistent with the state of global hypomethylation found in SLE patients (88). Moreover, in murine prone lupus models it is shown alteration within methylation pathway and S-adenosylmethionine (SAM) metabolisms, which is the enzyme in charge to donate the methyl group to cytosine. The product of SAM metabolism 5-deosy-5methylthioadenosine (MTA) may inhibit T cell activation, polarization to Th1 and Th2 and TCR-related signaling pathways and it was found decreased in these murine models. Thus, treating those mice with MTA enzyme ameliorated signs of lupus such as splenomegaly, lymphadenopathy, autoantibodies levels and IgG deposition (89).
Another example is in Lupus like disease caused by procainamide and hydralazine. These two drugs are DNA methylation inhibitors, thus they produce hypomethylation of DNA (90). In the case of procainamide, it is a competitive inhibitor of DNMT1 (91). Instead, hydralazine inhibits T and B cell signal-regulated kinase pathways (92). The kinase signaling pathway has in important role in the regulation of methylation (93). At the end, these two mechanisms produce a reduction in DNMTs that will enhance the gene expression of adhesion molecules on lupus drug-induced lymphocytes (94–96).
Rheumatoid arthritis
RA is a disease characterized by the progressive destruction of joints by invasive synovial fibroblasts. The RA synovial fibroblasts (RASFs) have a major role in the initiation and perpetuation of the disease (97). They are the reason of why several epigenetic studies of RA are focused in these synovial cells. Researchers have found a global hypomethylation of these cells which could be the responsible of overexpression of inflammatory cytokines in the synovial fluid (98–100).
Some examples of hypomethylation in RA are in CpG islands upstream of an L1 open-reading frame and IL-6 promoter gene in monocytes. L1 is one of the major classes of repetitive element that are interspersed in the genome. They are used as a marker because in normal synovial tissue they are methylated. In synovial tissue from patients with RA, L1 is hypomethylated as a consequence of reduce expression of DNMTs. This reduction of methylation in inflammatory response promoter genes causes an overexpression of growth factors and receptors, adhesion molecules and cytokines. At the end they will cause irreversible phenotypical changes that occur in synovial fibroblast (100,101).
The other example is the hypomethylation in CpG island within IL-6 promoter gene in monocytes. IL-6 is a pro-inflammatory cytokine that participates in B cell response. When this promoter is hypomethylated, there is an overexpression of IL-6 that will cause, at the same time, an overexpression of pro-inflammatory cytokines that will be associated with a local hyperactivation of the inflammation circuit (102). But there is evidence that in monocytes we can find also a mechanism of hypermethylation such as in the case of the CpG island within the promoter of death receptor 3 (DR-3). DR-3 is a protein that causes apoptosis and activation of transcription factor NF-kB, but when there is a downregulation of this protein because of the hypermethylation of its promoter, RA synovial cell will be resistant to apoptosis (103–105). Even though many of the studies have been done on PBMCs from RA patients, there are other studies that evaluate DNA methylation patterns from fibroblast like-synoviocytes (FLS). These studies have shown the association between differentially methylated loci with altered architecture and inflammation such as in the case of CHI3L1 (cartilage specific antigen), STAT3 (associated with IL-6 activation), TRAF2, TIMP2, ADAM12, CAPN8, TNFAIP8, CCR6, IL-6R, DPP4, and IL-1. All the genes found in this methyloma were involved in relevant pathways such as cell movement, adhesion, and trafficking (106,107). Another study shows that cytokine milieu may play an important role in epigenetic modification of FLS in RA. Authors showed that proinflammatory cytokines such as Interleukine 1 beta (IL-1β) and Tumor Necrosis Factor alpha (TNF-α) could suppress DNMT gene expression in FLS giving more evidence to global hypomethylation status of some key genes in RA pathogenesis (108).
Moreover, the enzyme MeCP2 in charge of gene silencing by DNA methylation and histone modification is found to be up-regulated in FLS isolated from RA murine models. Thus, this study found that MeCP2 may influence in the activation and maintenance of the Wnt pathway responsible of synovial hyperplasia, inflammation, pannus formation, and cartilage erosion during RA pathogenesis (109,110). Also, there is evidence of the influence of methylation states in other promoter regions that may be produced by exposure to some environmental hazards. It is known the influence of tobacco in the development of RA. An explanation of how this environmental toxin may influence in RA is because a DNA methylation change in the promoter region of GSTA2 gene which has a key role in detoxification of electrophilic compounds. In this same study was found some differentially methylated positions within MHC region that could influence in the genetic risk to develop RA (111).
Type 1 diabetes (T1D)
T1D is a T cell-mediated autoimmune disease that develops in genetically susceptible individuals affecting their endocrine pancreas. There are some mechanisms by which epigenetics may play an important role in T1D: by modulating lymphocyte maturation and cytokine gene expression and by differentiation of subtype T helper cells ruled by epigenetic controls. In this autoimmune disease in contrast to SLE and RA, there is a global hypermethylation activity caused by altered metabolism of homocysteine (112).
Glucose and insulin levels are determinants of methylation (113). They alter homocysteine metabolism by increasing cellular homocysteine production by its inhibition of trans-sulfuration (114,115). When there is an increase levels of homocysteine, methionine in cells will be catalyzed in DNA methyltransferases (DNMTs) by S-adenosylmethionine. This will enhance DNMTs activity that subsequently led to increased global DNA methylation. Also, an increase maternal homocysteine during pregnancy by a low protein diet can produce an alter methionine metabolism that will cause decrease islet mass and vascularity in the fetus with a subsequent glucose intolerance in adult life (116,117).
Moreover, studies in T1D have shown hypermethylation of FOXP3 promoter region in CD4+ T cells and higher levels of DNMT3b mRNA (118). In contrast, another study found hypomethylation of CpG-19, -135, and -234 proximal to TSS in the insulin promoter region that may be associated with the development of the disease (119). Epigenomic wide association studies (EWAS) have also shown methylated variable position in twins with T1D, suggesting that this difference may be one of the causes of different concordance rates (120).
Multiple sclerosis (MS)
MS is an inflammatory chronic disease characterized by myelin destruction followed by a progressive grade of neurodegeneration. Recent studies have shown that the promoter region of peptidyl arginine deiminase type II (PAD2) is hypomethylated (121). PAD2 has a key role in the citrullination process of myelin basic protein (MBP). This citrullination process has important biologic effects: promotes protein autocleavage increasing the probability to create new epitopes and, also, modulates the immune response. In MS we will find an increase demethylase enzyme activity which will cause hypomethylation of PAD2 promoter region (122). Because of this hypomethylation, it will be an overexpression of PAD2 that will increase MBP citullination process with subsequent increase production of immunodominant peptides. These peptides will increase the autocleavage of MBP causing irreversible changes in its biological properties producing proteolytic digestion, myelin instability, and a chronic inflammation response (123–125). Another protein with a role in MS pathogenesis is SHP-1, which functions as a negative regulator of cytokine signaling through STATs and NF-kB. In MS patients was found a hypermethylation of promoter 2 of this protein (126). Methylation also may influence in the state of the disease. A study found differences in DNA methylation pattern in Relapsing-Remiting Multiple Sclerosis (RRMS) between remission and relapsing patients (127).
Sjögren’s syndrome (SS)
There is little information about the role of methylation in SS disease. Even though, there is a study that shows BP230 hypermethylation and decrease in mRNA levels in labial salivary gland biopsies. This result shows that alteration in expression of genes coding for hemidesmosomes type I proteins (α6β4 integrins, BP180 and BP230) may cause basal lamina disorganization and modifications in localization and distribution of α6β4 integrins. As a consequence of these alterations, there will be an abnormal extracellular matrix – acinar cell communication, thus contributing to alterations in survival responses and cell death (128). Another study demonstrated the hypomethylation and upregulation in the expression of CD70 (TNFSF7) gene in CD4+ T cells from SS patients. It is important to mention the function of CD70 as a B cell co-stimulatory molecule that interacts with CD27 to initiate immunoglobulin production and cell differentiation (129).
Histone modifications and autoimmune diseases
Systemic lupus erythematosus
Histone modifications in SLE have been studied in murine models and in humans. These studies have found that during apoptosis, histones are modified making them immunogenic. It is noteworthy that in the pathogenesis of SLE antibodies are directed against components of the cell nucleus which are exposed at the cell surface during apoptosis (130,131).
The nucleosomes, the primary inciting antigen in SLE, are released in patients with SLE as a result of a disturbed apoptosis or an insufficient clearance of apoptotic debris. During apoptosis, the nucleosome is modified, thereby creating more immunogenic epitopes. Subsequently, epitope spreading will lead to the formation of autoantibodies against unmodified chromatin components (132,133). Histone modifications such as H3K4 trimethylation, H4K8 triacetylation, H3K27 trimethylation, and H2BK12 acetylation will cause increase apoptotic nucleosomes (Table 3). These apoptotic nucleosomes will generate autoimmunogenicity that causes activation of antigen-presenting cells and autoantibody production with a subsequent inflammatory response (134–137).
There are other studies that have shown a global acetylation pattern of histone H3 and H4 in active SLE CD4+ T cells (137). Also, it is shown that monocytes, which are important in SLE renal disease, have altered acetylation pattern of histone H4 thus increasing the expression of interferon genes that have a key role in SLE pathogenesis (138–140). Nowadays, there is evidence about a possible mechanism that could link histone modification to NETosis with a subsequent induction of autoimmunity. This study showed how NETs were enriched with histone methylation, citrullination, and acetylation marks such as mono-, di-, and tri-methyl H3K4, 9, 27, 36, H4K20, and H4K5-16 acetylation (141).
Rheumatoid arthritis
RA synovial tissue is characterized by a misbalance between HAT and HDAC activity. Cartilage destruction is thought to be mediated by matrix metalloproteinases (MMPs) and enzymes from the ADAMTS (a disintegrin and metalloproteinase domain with thrombospondin motifs) family. Many of these genes are regulated by modifications in theβ chromatin including acetylation of histones (142–144). It is noteworthy that levels of HDAC activity are increased in RA patients before starting anti-TNF treatment (145)
Many studies have shown that HDAC inhibitors inhibit cartilage degradation blocking the induction of key MMPs by proinflammatory cytokines at both the mRNA and protein levels. Also, ADAMTs enzymes are inhibited at the mRNA level (146). In fact, hyperacetylation of synovial cell histones induces p16 and p21 (cyclin-dependent kinase inhibitors that regulates cell cycle) expression with a subsequent decrease in TNF-α synthesis. All this mechanisms will inhibit join swelling, synovial inflammation and joint destruction in murine RA models (144,147). Also, the hyperacetylation of histones will downregulate HIF-1a (hypoxia inducible factor) and VEGF to block angiogenesis in synovial cells (Table 3) (148).
It is noteworthy that HDAC inhibitors may therefore be novel chondroprotective therapeutic agents in arthritis by its ability to inhibit the expression of destructive metalloproteinases, ADAMTs, and cytokine production in synovial tissue (149–151).
Type 1 diabetes
There are just few epigenetic studies associated with histone modifications and the pathogenesis of the T1D. Patients with T1D show a subset of genes with increase in H3K9me2 in lymphocytes. This subset of genes includes the CLTA4, which is a type 1 diabetes susceptibility gene, and has increase methylation of H3K9 in its promoter region. Other genes that have altered H3K9me2 are transforming growth factor-beta (TGF-B), nuclear factor-kB, p38, a mitogen-activated protein kinase, toll-like receptor, and interleukin-6 (Table 3). The transcription factor NF-kB is also upregulated by H3K4 methyltransferase, thus causing increase in inflammatory gene expression in diabetic mice. All these genes are associated with autoimmune and inflammation-related pathways (152–154). Moreover, a study shows variation in the levels of H3K9Ac in the upstream regions of HLA-DRB1 and HLA-DQB1 genes in the insulin-dependent locus, suggesting an important role in the regulation of these genes (155).
On the other hand, histone modifications are also part of the mechanisms that causes cardiovascular complications in T1D patients. Chemical modification of the H3 histone tail of lysine 4 and 9 has recently been identified with gene expression conferred by hyperglycemia. Transient hyperglycemia promotes gene-activating epigenetic changes and signaling events critical in the development and progression of vascular complications. These epigenetic changes are H3K4 and H3K9 methylation in genes associated with vascular inflammation (156–158).
Multiple sclerosis
The oligodendrocyte identity is modulated by post-translational modifications of histones. In rodents, histone deacetylation produces oligodendrocyte differentiation whereas acetylation is associated with transcriptional inhibitors of differentiation. In patients with MS, there is a shift toward histone acetylation in the white matter. Thus, hyperacetylation of H3 at the promoter region of inhibitory genes will produce high levels of transcriptional inhibitors of oligodendrocyte differentiation such as TCF7L2, ID2, and SOX2 (Table 3) (159). Moreover, polymorphisms in genes expressing HDACs such as SIRT4, HDAC-9, and HDAC-11 may be correlated with brain volume changes in MS patients (160).
Nucleosome positioning and autoimmune diseases
There are not many studies about how nucleosome positioning causes autoimmune diseases. But in RA, histone variant macroH2A interferes with the binding of transcription factor NF-kB impeding the action of some proteins that restructure nucleosomes (161). Also, it has been reported that a SNP in the region 17q12-q21 associated with high risk of T1D, Chron’s disease and Primary Biliary Cirrhosis leads to allele-specific differences in nucleosome distribution (162).
miRNAs and autoimmune diseases
Systemic lupus erythematosus
Studies have shown that most lupus-related genes contain at least one miRNA target site for more than a hundred miRNAs. In SLE, there is evidence of the key role of some miRNAs in its pathogenesis (Table 3). For example, miR-146a is a negative regulator of TLR signaling and its expression was decreased in patients with SLE. Also, this miRNA is a negatively regulator of type I interferon (IFN) pathway by targeting IFN regulatory factor (IRF)-5 and STAT-1. Therefore, decreased expression of miR-146a in PBMC may contribute to the enhanced type I IFN production in SLE (163). Other studies identified that miR-21 and miR-148a were upregulated in CD4+ T cells. A possible mechanism of how these miRNAs act in SLE is because they produce hypomethylation of some promoters by repressing DNMTs thus increasing the expression of autoimmune-associated methylation-sensitive genes, CD70, and lymphocyte function-associated antigen (164).
Additional studies have found that miR-125a was reduced in patients with lupus. This miRNA is expressed in T cells and is a critical transcription factor in the regulation of the chemokine RANTES. The decreased expression of miR-125a results in the upregulation and the elevation of the inflammatory chemokine RANTES in lupus T cells (165). Also, it was found a downregulation of miR-125b in T-cells and this may contribute to lupus nephritis pathogenesis and an increase gene expression of ETS1 and STAT3 (166). There are other miRNA which function is to regulate B and T cell immunity such as miR-155. Therefore, the upregulation of miR-155 in lupus B and T lymphocytes may lead to abnormal B-cell activation and abnormal inflammatory T-cell development and cytokine production in patients with lupus (167,168). Another miRNA that interfere with immune response is the miR-126 which reduces the levels of DNMT1 and this fact produces the overexpression of CD11a and CD70 genes in SLE T cells (169). There is other study that shows the expression of some miRNAs and active nephritis. These authors found an upregulation of some miRNAs such as miR-142-3p and miR-181a, and a downregulation of miR-106a, miR-17, miR20a, miR-92a, and miR-203. All these miRNAs were involved in TGF-b signaling pathways, apoptosis, cytokine receptors, T-cell development and cytoskeletal organization (170).
Rheumatoid arthritis
miRNAs are also critical in RA pathogenesis (Table 3). For example, miR-155 and miR-146 are overexpressed in RASFs. miR-155 expression is enhanced by TNF-α and IL-1β, and they produce an inhibitory effect on metalloproteinases expression in synovial fribroblasts (171). Additional, miR-146 is a miRNA that is upregulated by pro-inflammatory cytokines and its function is to downregulate NF-kB pathway in monocytes. In contrast, another study showed that TNF-α induces the expression of miR-17-92 in RASFs which play a role in cartilage destruction and chronic inflammation through NF-kB signaling, thus producing upregulation of metalloproteinases and pro-inflammatory mediators. This miRNA have a strong correlation with the levels of TNF-α and IL-17 (172–175). Another miRNA in RA is miR-203 which also causes repression of several metalloproteinases and inhibition of IL-6 (176).
Another miRNA implicated in RA is miR-124, which targets cyclin-dependent kinase 2 (CDK-2) and it is decreased in RA synovial tissue. At basal state, it represses cell proliferation and arrested the cell cycle at G1 phase. Also it targets monocyte chemoattractant protein 1 (MCP-1) which is responsible of the recruitment of mononuclear phagocytes into the joint. Thus in RA, this miRNA produces increase in cell proliferation and MCP-1 production (177,178).
There is evidence about novel miRNA that may be playing a role in RA pathogenesis such as miR-503, miR-625, miR-550, miR-500, miR-202-3p, miR-30b, and miR551b which may be associated with altered gene expression. It is important to mention that it may be a combined action of miRNA and DNA methylation in which they may have antagonistic effects in the gene expression control (107,179).
Multiple sclerosis
Currently, many studies have been focusing in miRNAs involved in MS pathogenesis (Table 3). A recent study found that miR-326 plays a critical role in the pathogenesis of MS upregulating the differentiation Th-17 cell by targeting Ets-1 which is a negative regulator of Th-17 differentiation. This miRNA was significantly upregulated in patients with RRMS producing an increase in Th-17 cell number and more severe symptoms (180). Other miRNAs involved in MS and miR-34a are miR-155 which are upregulated in active MS lesions and contributed to MS pathogenesis by targeting CD47 to release macrophages from the inhibitory control signal thus causing increased phagocytosis of myelin. Also, miR-155 promotes development of inflammatory Th1 and Th17 cells (171,181). Moreover, miR-29b is increases in CD4+ T-cells promoting a chronic inflammation caused by Th1 (182).
In addition, differentially expressed miRNAs such as miR-17-5p, miR-497, miR-193, and miR-126 have been identified in different lymphocyte subsets including CD4+ T cells, CD8+ T cells, B cells, and CD4+ CD25+ Treg cells from patients with MS. Nevertheless, direct involvement and contribution of dysregulated miRNAs in MS have largely remained unknown and needs additional investigation (183). It is noteworthy that all miRNAs are involved just in the pathogenesis of the disease. There are miRNAs that can serve as prognostic markers. For example, the expression of miR-18b and miR-599 is related to relapse and miR-96 is involved in remission (184). Also, BCL2 in the apoptosis process has been shown to be modulated by the downregulation of miR-15a and -16-1 in CD4+ T-cells from RRMS patients (185). Other miRNAs are brain-specific such as miR-124 which is expressed in microglia but not in peripheral monocytes or macrophages. Its function may be related to reduce activation of myelin-specific T cells with a marked suppression of disease being a key regulator of microglia quiescence and a good prognostic factor for MS (186).
Nowadays, evidence about new miRNAs playing a role in MS pathogenesis is growing. miR-922, miR-181c, and miR-633 are differentially regulated in cerebro-spinal fluid (CSF) from MS patients and the last two miRNAs are differentially regulated in the RRMS phenotype (187).
Type 1 diabetes
There are just a few studies related with miRNAs and T1D pathogenesis. But there are some hypotheses that T cell regulator (Tregs) functions are influenced by changes in the expression of specific miRNAs (Table 3). In Tregs of T1D patients there is an increased expression of miRNA-510 and miR-326 and decreased expression of both miRNA-342 and miRNA-191. On the other hand, there are studies in which demonstrate that miRNAs may be the cause of cytokine-mediated beta-cell cytotoxicity. This cytotoxicity is achieved when IL-1β and TNF-α induce the expression of miR-21, miR-34a, and miR-146a in pancreatic islets thus producing beta-cell failure by increasing proinflammatory cytokines (188–190). Moreover, miR-21a and miR-93 are found to be downregulated in PBMCs from patients with T1D (191). In a study made with sera from children with new onset of T1D was demonstrated upregulated miRNAs such as miR-152, miR-30a-5p, miR-181a, miR-24, miR-148a, miR-210, miR-27a, miR-29a, miR-26a, miR-27b, miR-25 and miR-200a. All these miRNAs were related to beta-cell function and glycemic control (192).
Sjögren’s syndrome
This syndrome is characterized by an inflammation and dysfunction of salivary and lacrimal glands which causes dry mouth and eyes. miRNA is the most study mechanism in this disease and it is known that the majority of this are concentrated in exosomes in serum and saliva, instead of whole serum (193). In SS seems to play an important role some miRNAs: miR-547-3p, miR-168-3p, miR-146a/b, miR-150, and miR-149 (Table 3). The three first ones are overexpressed in salivary gland; instead the last ones are upregulated in salivary glands and lymphocytes. Their overexpression may be the cause of the downregulation of some mRNAs that are important for correct immune function and for the downregulation of pro-inflammatory cytokines (112,194–196). Also, there is a role of SS antigensSSB/La as a pre-miRNA binding protein and as a global regulator of miRNA processing in vitro by the requirement of the RNA-binding motifs (LAM, RRM1 and RRM2) of this auto-antigen for the correct functioning of miRNA processing (197).
Conclusions
Epigenetic research has grown to provide new insights into autoimmune diseases and this is possible thanks to advances in technological development which are enabling epigenomic analysis on a large scale. All this improvement in the genetic field has permit us to find new causes that may explain the etiology of autoimmune disease, showing us one more time that this group of diseases is not caused by a single altered component.
The candidate gene approaches have identified a small set of genes that undergo aberrant DNA demethylation and overexpression in systemic lupus erythematosus and rheumatoid arthritis which are the autoimmune diseases most widely studied in the last years. This identification of cell-specific targets of epigenetic deregulation in autoimmune rheumatic disorders will provide clinical markers for diagnosis, disease progression and response to therapies. But to achieve this, high-throughput approaches are necessary for screening epigenetic alterations in autoimmune disease related to specific tissue and cell types that are relevant to disease pathogenesis.
Once we have mapped all the altered epigenetic mechanisms that produce each one of the autoimmune diseases, we can research even more for therapeutic potential of compounds directed against those epigenetic mechanisms. But to do this, detailed human DNA methylomes, histone modification and nucleosome positioning maps in healthy and diseased tissues are needed.
References
- 1.
- Dupont C, Armant DR, Brenner CA. Epigenetics: definition, mechanisms and clinical perspective. Semin Reprod Med. 2009;27:351–7. [PMC free article: PMC2791696] [PubMed: 19711245]
- 2.
- Wu Ct, Morris JR. Genes, genetics, and epigenetics: a correspondence. Science. 2001;293:1103–5. [PubMed: 11498582]
- 3.
- Jeltsch A. Handbook of Epigenetics: The New Molecular and Medical Genetics. Tollefsbol Trygve, editor. ChemBioChem. 2011;12:970–970.
- 4.
- CD A. Epigenetics. New York: CSHL Press; 2007. p. 502.
- 5.
- Ballestar E. Epigenetics lessons from twins: prospects for autoimmune disease. Clin Rev Allergy Immunol. 2010;39:30–41. [PubMed: 19653134]
- 6.
- Fraga MF, Ballestar E, Paz MF, Ropero S, Setien F, Ballestar ML, et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci U.S.A. 2005;102:10604–9. [PMC free article: PMC1174919] [PubMed: 16009939]
- 7.
- Järvinen P, Kaprio J, Mäkitalo R, Koskenvuo M, Aho K. Systemic lupus erythematosus and related systemic diseases in a nationwide twin cohort: an increased prevalence of disease in MZ twins and concordance of disease features. J Intern med. 1992;231:67–72. [PubMed: 1732401]
- 8.
- Deapen D, Escalante A, Weinrib L, Horwitz D, Bachman B, Roy-Burman P, et al. A revised estimate of twin concordance in systemic lupus erythematosus. Arthritis Rheum. 1992;35:311–8. [PubMed: 1536669]
- 9.
- Kyvik KO, Green A, Beck-Nielsen H. Concordance rates of insulin dependent diabetes mellitus: a population based study of young Danish twins. BMJ. 1995;311:913–7. [PMC free article: PMC2550917] [PubMed: 7580548]
- 10.
- Kaprio J, Tuomilehto J, Koskenvuo M, Romanov K, Reunanen A, Eriksson J, et al. Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia. 1992;35:1060–7. [PubMed: 1473616]
- 11.
- Kumar D, Gemayel NS, Deapen D, Kapadia D, Yamashita PH, Lee M, et al. North-American twins with IDDM. Genetic, etiological, and clinical significance of disease concordance according to age, zygosity, and the interval after diagnosis in first twin. Diabetes. 1993;42:1351–63. [PubMed: 8349046]
- 12.
- Matsuda A, Kuzuya T. Diabetic twins in Japan. Diabetes Res Clin Pract. 1994;24:S63–7. [PubMed: 7859635]
- 13.
- Olmos P, A’Hern R, Heaton DA, Millward BA, Risley D, Pyke DA, et al. The significance of the concordance rate for type 1 (insulin-dependent) diabetes in identical twins. Diabetologia. 1988;31:747–50. [PubMed: 3240835]
- 14.
- Aho K, Koskenvuo M, Tuominen J, Kaprio J. Occurrence of rheumatoid arthritis in a nationwide series of twins. Journal Rheumatol. 1986;13:899–902. [PubMed: 3820198]
- 15.
- Silman AJ, MacGregor AJ, Thomson W, Holligan S, Carthy D, Farhan A, et al. Twin concordance rates for rheumatoid arthritis: results from a nationwide study. Br J Rheumatol. 1993;32:903–7. [PubMed: 8402000]
- 16.
- Bellamy N, Duffy D, Martin N, Mathews J. Rheumatoid arthritis in twins: a study of aetiopathogenesis based on the Australian Twin Registry. Ann Rheum Dis. 1992;51:588–93. [PMC free article: PMC1005687] [PubMed: 1616321]
- 17.
- Brix TH, Christensen K, Holm NV, Harvald B, Hegedüs L. A population-based study of Graves’ disease in Danish twins. Clin Endocrinol (Oxf). 1998;48:397–400. [PubMed: 9640404]
- 18.
- Kinnunen E, Juntunen J, Ketonen L, Koskimies S, Konttinen YT, Salmi T, et al. Genetic susceptibility to multiple sclerosis. A co-twin study of a nationwide series. Arch Neurol. 1988;45:1108–11. [PubMed: 3263109]
- 19.
- Mumford CJ, Wood NW, Kellar-Wood H, Thorpe JW, Miller DH, Compston DA. The British Isles survey of multiple sclerosis in twins. Neurology. 1994;44:11–5. [PubMed: 8290043]
- 20.
- Sadovnick AD, Armstrong H, Rice GP, Bulman D, Hashimoto L, Paty DW, et al. A population-based study of multiple sclerosis in twins: update. Ann Neurol. 1993;33:281–5. [PubMed: 8498811]
- 21.
- Ebers GC, Bulman DE, Sadovnick AD, Paty DW, Warren S, Hader W, et al. A population-based study of multiple sclerosis in twins. N Engl J Med. 1986;315:1638–42. [PubMed: 3785335]
- 22.
- Greco L, Romino R, Coto I, Cosmo N, Percopo S, Maglio M, et al. The first large population based twin study of coeliac disease. Gut. 2002;50:624–8. [PMC free article: PMC1773191] [PubMed: 11950806]
- 23.
- Wolff GL, Kodell RL, Moore SR, Cooney CA. Maternal epigenetics and methyl supplements affect agouti gene expression in Avy/a mice. FASEB J. 1998;12:949–57. [PubMed: 9707167]
- 24.
- Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, Susser ES, et al. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci U.S.A. 2008;105:17046–9. [PMC free article: PMC2579375] [PubMed: 18955703]
- 25.
- Lumey LH, Stein AD, Kahn HS, Van der Pal-de Bruin KM, Blauw GJ, Zybert PA, et al. Cohort profile: the Dutch Hunger Winter families study. Int J Epidemiol. 2007;36:1196–204. [PubMed: 17591638]
- 26.
- Lumey LH, Stein AD, Kahn HS, Romijn JA. Lipid profiles in middle-aged men and women after famine exposure during gestation: the Dutch Hunger Winter Families Study. Am J Clin Nutr. 2009;89:1737–43. [PMC free article: PMC2682992] [PubMed: 19386743]
- 27.
- Roseboom TJ, Van der Meulen JH, Osmond C, Barker DJ, Ravelli AC, Bleker OP. Plasma lipid profiles in adults after prenatal exposure to the Dutch famine. T Am J Clin Nutr. 2000;72:1101–6. [PubMed: 11063435]
- 28.
- Stein AD, Kahn HS, Rundle A, Zybert PA, Van der Pal-de Bruin K, Lumey LH. Anthropometric measures in middle age after exposure to famine during gestation: evidence from the Dutch famine. Am J Clin Nutr. 2007;85:869–76. [PubMed: 17344511]
- 29.
- Ravelli AC, Van Der Meulen JH, Osmond C, Barker DJ, Bleker OP. Obesity at the age of 50 y in men and women exposed to famine prenatally. Am J Clin Nutr. 1999;70:811–6. [PubMed: 10539740]
- 30.
- Painter RC, De Rooij SR, Bossuyt PM, Simmers TA, Osmond C, Barker DJ, et al. Early onset of coronary artery disease after prenatal exposure to the Dutch famine. Am J Clin Nutr. 2006;84:322–7. [PubMed: 16895878]
- 31.
- Susser E, Neugebauer R, Hoek HW, Brown AS, Lin S, Labovitz D, et al. Schizophrenia after prenatal famine. Further evidence. Arch Gen Psychiatry. 1996;53:25–31. [PubMed: 8540774]
- 32.
- Hoek HW, Brown AS, Susser E. The Dutch famine and schizophrenia spectrum disorders. Soc Psychiatry Psychiatr Epidemiol. 1998;33:373–9. [PubMed: 9708024]
- 33.
- Brown AS. Further Evidence of Relation Between Prenatal Famine and Major Affective Disorder. Am J Psychiatry. 2000;157:190–5. [PubMed: 10671386]
- 34.
- McGuinness D, McGlynn LM, Johnson PCD, MacIntyre A, Batty GD, Burns H, et al. Socio-economic status is associated with epigenetic differences in the pSoBid cohort. Int J Epidemiol. 2012;41:151–60. [PubMed: 22253320]
- 35.
- Borghol N, Suderman M, McArdle W, Racine A, Hallett M, Pembrey M, et al. Associations with early-life socio-economic position in adult DNA methylation. Int J Epidemiol. 2012;41:62–74. [PMC free article: PMC3304522] [PubMed: 22422449]
- 36.
- Tehranifar P, Wu H-C, Fan X, Flom JD, Ferris JS, Cho YH, et al. Early life socioeconomic factors and genomic DNA methylation in mid-life. Epigenetics. 2013;8:23–7. [PMC free article: PMC3549876] [PubMed: 23196856]
- 37.
- Subramanyam Ma, Diez-Roux AV, Pilsner JR, Villamor E, Donohue KM, Liu Y, et al. Social factors and leukocyte DNA methylation of repetitive sequences: the multi-ethnic study of atherosclerosis. PloS one. 2013;8:e54018. [PMC free article: PMC3539988] [PubMed: 23320117]
- 38.
- Barragán-Martínez C, Speck-Hernández CA, Montoya-Ortiz G, Mantilla RD, Anaya J-M, Rojas-Villarraga A. Organic solvents as risk factor for autoimmune diseases: a systematic review and meta-analysis. PloS one. 2012;7:e51506. [PMC free article: PMC3526640] [PubMed: 23284705]
- 39.
- Guerrero-Bosagna C, Skinner MK. Environmentally induced epigenetic transgenerational inheritance of phenotype and disease. Mol Cell Endocrinol. 2012;354:3–8. [PMC free article: PMC3312615] [PubMed: 22020198]
- 40.
- Niles KM, Chan D, La Salle S, Oakes CC, Trasler JM. Critical period of nonpromoter DNA methylation acquisition during prenatal male germ cell development. PloS one. 2011;6:e24156. [PMC free article: PMC3176233] [PubMed: 21949694]
- 41.
- Liang P, Song F, Ghosh S, Morien E, Qin M, Mahmood S, et al. Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development. BMC genomics. 2011;12:231. [PMC free article: PMC3118215] [PubMed: 21569359]
- 42.
- Khavari DA, Sen GL, Rinn JL. DNA methylation and epigenetic control of cellular differentiation. Cell Cycle. 2010;9:3880–3. [PubMed: 20890116]
- 43.
- Chen Z-X, Mann JR, Hsieh C-L, Riggs AD, Chédin F. Physical and functional interactions between the human DNMT3L protein and members of the de novo methyltransferase family. J Cell Biochem. 2005;95:902–17. [PubMed: 15861382]
- 44.
- Bhutani N, Burns DM, Blau HM. DNA demethylation dynamics. Cell. 2011;146:866–72. [PMC free article: PMC3236603] [PubMed: 21925312]
- 45.
- Ooi SKT, Bestor TH. The colorful history of active DNA demethylation. Cell. 2008;133:1145–8. [PubMed: 18585349]
- 46.
- Fritz EL, Papavasiliou FN. Cytidine deaminases: AIDing DNA demethylation? Genes Dev. 2010;24:2107–14. [PMC free article: PMC2947763] [PubMed: 20889711]
- 47.
- Ito S, Shen L, Dai Q, Wu SC, Collins LB, Swenberg JA, et al. Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine. Science. 2011;333:1300–3. [PMC free article: PMC3495246] [PubMed: 21778364]
- 48.
- Maiti A, Drohat AC. Thymine DNA glycosylase can rapidly excise 5-formylcytosine and 5-carboxylcytosine: potential implications for active demethylation of CpG sites. J Biol Chem. 2011;286:35334–8. [PMC free article: PMC3195571] [PubMed: 21862836]
- 49.
- Zhang L, Lu X, Lu J, Liang H, Dai Q, Xu G-L, et al. Thymine DNA glycosylase specifically recognizes 5-carboxylcytosine-modified DNA. Nature Chem Biol. 2012;8:328–30. [PMC free article: PMC3307914] [PubMed: 22327402]
- 50.
- Hashimoto H, Hong S, Bhagwat AS, Zhang X, Cheng X. Excision of 5-hydroxymethyluracil and 5-carboxylcytosine by the thymine DNA glycosylase domain: its structural basis and implications for active DNA demethylation. Nucleic Acids Res. 2012;40:10203–14. [PMC free article: PMC3488261] [PubMed: 22962365]
- 51.
- Kellinger MW, Song C-X, Chong J, Lu X-Y, He C, Wang D. 5-formylcytosine and 5-carboxylcytosine reduce the rate and substrate specificity of RNA polymerase II transcription. Nature Struct Mol Biol. 2012;19:831–3. [PMC free article: PMC3414690] [PubMed: 22820989]
- 52.
- Hackett JA, Sengupta R, Zylicz JJ, Murakami K, Lee C, Down TA, et al. Germline DNA demethylation dynamics and imprint erasure through 5-hydroxymethylcytosine. Science. 2013;339:448–52. [PMC free article: PMC3847602] [PubMed: 23223451]
- 53.
- Fan S, Zhang X. CpG island methylation pattern in different human tissues and its correlation with gene expression. Biochem Biophys Res Commun. 2009;383:421–5. [PubMed: 19364493]
- 54.
- Bird A. DNA methylation patterns and epigenetic memory. Genes Dev. 2002;16:6–21. [PubMed: 11782440]
- 55.
- Feinberg AP. Genome-scale approaches to the epigenetics of common human disease. Virchows Arch. 2010;456:13–21. [PMC free article: PMC3107986] [PubMed: 19844740]
- 56.
- Ball MP, Li JB, Gao Y, Lee J-H, LeProust EM, Park I-H, et al. Targeted and genome-scale strategies reveal gene-body methylation signatures in human cells. Nat Biotechnol. 2009;27:361–8. [PMC free article: PMC3566772] [PubMed: 19329998]
- 57.
- Portela A, Esteller M. Epigenetic modifications and human disease. Nat Biotechnol. 2010;28:1057–68. [PubMed: 20944598]
- 58.
- Kouzarides T. Chromatin modifications and their function. Cell. 2007;128:693–705. [PubMed: 17320507]
- 59.
- Huertas D, Sendra R, Muñoz P. Chromatin dynamics coupled to DNA repair. Epigenetics. 2009;4:31–42. [PubMed: 19218832]
- 60.
- De Ruijter AJM, Van Gennip AH, Caron HN, Kemp S, Van Kuilenburg ABP. Histone deacetylases (HDACs): characterization of the classical HDAC family. Biochem J. 2003;370:737–49. [PMC free article: PMC1223209] [PubMed: 12429021]
- 61.
- Roth SY, Denu JM, Allis CD. Histone acetyltransferases. Annu Rev Biochem. 2001;70:81–120. [PubMed: 11395403]
- 62.
- Eglen RM, Reisine T. Screening for compounds that modulate epigenetic regulation of the transcriptome: an overview. J Biomol Screen. 2011;16:1137–52. [PubMed: 22002420]
- 63.
- Vakoc CR, Mandat SA, Olenchock BA, Blobel GA. Histone H3 lysine 9 methylation and HP1gamma are associated with transcription elongation through mammalian chromatin. Mol Cell. 2005;19:381–91. [PubMed: 16061184]
- 64.
- Bauer U-M. Methylation at arginine 17 of histone H3 is linked to gene activation. EMBO Rep. 2001;3:39–44. [PMC free article: PMC1083932] [PubMed: 11751582]
- 65.
- Bernstein BE, Kamal M, Lindblad-Toh K, Bekiranov S, Bailey DK, Huebert DJ, et al. Genomic maps and comparative analysis of histone modifications in human and mouse. Cell. 2005;120:169–81. [PubMed: 15680324]
- 66.
- Shi Y-J, Matson C, Lan F, Iwase S, Baba T, Shi Y. Regulation of LSD1 histone demethylase activity by its associated factors. Mol Cell. 2005;19:857–64. [PubMed: 16140033]
- 67.
- Forneris F, Binda C, Vanoni MA, Battaglioli E, Mattevi A. Human histone demethylase LSD1 reads the histone code. J Biol Chem. 2005;280:41360–5. [PubMed: 16223729]
- 68.
- Forneris F, Binda C, Dall’Aglio A, Fraaije MW, Battaglioli E, Mattevi A. A highly specific mechanism of histone H3-K4 recognition by histone demethylase LSD1. J Biol Chem. 2006;281:35289–95. [PubMed: 16987819]
- 69.
- Gregory PD, Wagner K, Hörz W. Histone acetylation and chromatin remodeling. Exp Cell Res. 2001;265:195–202. [PubMed: 11302684]
- 70.
- Wang Z, Zang C, Rosenfeld JA, Schones DE, Barski A, Cuddapah S, et al. Combinatorial patterns of histone acetylations and methylations in the human genome. Nat Genet. 2008;40:897–903. [PMC free article: PMC2769248] [PubMed: 18552846]
- 71.
- Duan Q, Chen H, Costa M, Dai W. Phosphorylation of H3S10 blocks the access of H3K9 by specific antibodies and histone methyltransferase. Implication in regulating chromatin dynamics and epigenetic inheritance during mitosis. J Biol Chem. 2008;283:33585–90. [PMC free article: PMC2586264] [PubMed: 18835819]
- 72.
- Schones DE, Cui K, Cuddapah S, Roh T-Y, Barski A, Wang Z, et al. Dynamic regulation of nucleosome positioning in the human genome. Cell. 2008;132:887–98. [PubMed: 18329373]
- 73.
- Chodavarapu RK, Feng S, Bernatavichute YV, Chen P-Y, Stroud H, Yu Y, et al. Relationship between nucleosome positioning and DNA methylation. Nature. 2010;466:388–92. [PMC free article: PMC2964354] [PubMed: 20512117]
- 74.
- Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–97. [PubMed: 14744438]
- 75.
- Scaria V, Hariharan M, Maiti S, Pillai B, Brahmachari SK. Host-virus interaction: a new role for microRNAs. Retrovirology. 2006;3:68. [PMC free article: PMC1626483] [PubMed: 17032463]
- 76.
- Anaya J-M, Gómez L, Castiblanco J. Is there a common genetic basis for autoimmune diseases? Clin Dev Immunol. 2006;13:185–95. [PMC free article: PMC2270753] [PubMed: 17162361]
- 77.
- Anaya J-M. The autoimmune tautology. Arthritis Res Ther. 2010;12:147. [PMC free article: PMC3046506] [PubMed: 21092150]
- 78.
- Lu Q, Kaplan M, Ray D, Ray D, Zacharek S, Gutsch D, et al. Demethylation of ITGAL (CD11a) regulatory sequences in systemic lupus erythematosus. Arthritis Rheum. 2002;46:1282–91. [PubMed: 12115234]
- 79.
- Lu Q, Wu A, Tesmer L, Ray D, Yousif N, Richardson B. Demethylation of CD40LG on the inactive X in T cells from women with lupus. J Immunol. 2007;179:6352–8. [PubMed: 17947713]
- 80.
- Kaplan MJ, Lu Q, Wu A, Attwood J, Richardson B. Demethylation of promoter regulatory elements contributes to perforin overexpression in CD4+ lupus T cells. J Immunol. 2004;172:3652–61. [PubMed: 15004168]
- 81.
- Oelke K, Lu Q, Richardson D, Wu A, Deng C, Hanash S, et al. Overexpression of CD70 and overstimulation of IgG synthesis by lupus T cells and T cells treated with DNA methylation inhibitors. Arthritis Rheum. 2004;50:1850–60. [PubMed: 15188362]
- 82.
- Javierre BM, Fernandez AF, Richter J, Al-Shahrour F, Martin-Subero JI, Rodriguez-Ubreva J, et al. Changes in the pattern of DNA methylation associate with twin discordance in systemic lupus erythematosus. Genome Res. 2010;20:170–9. [PMC free article: PMC2813473] [PubMed: 20028698]
- 83.
- Lei W, Luo Y, Yan K, Zhao S, Li Y, Qiu X, et al. Abnormal DNA methylation in CD4+ T cells from patients with systemic lupus erythematosus, systemic sclerosis, and dermatomyositis. Scand J Rheumatol. 2009;38:369–74. [PubMed: 19444718]
- 84.
- Lu Q, Wu A, Ray D, Deng C, Attwood J, Hanash S, et al. DNA methylation and chromatin structure regulate T cell perforin gene expression. J Immunol. 2003;170:5124–32. [PubMed: 12734359]
- 85.
- Lu Q, Ray D, Gutsch D, Richardson B. Effect of DNA methylation and chromatin structure on ITGAL expression. Blood. 2002;99:4503–8. [PubMed: 12036881]
- 86.
- Garaud S, Le Dantec C, Jousse-Joulin S, Hanrotel-Saliou C, Saraux A, Mageed RA, et al. IL-6 modulates CD5 expression in B cells from patients with lupus by regulating DNA methylation. J Immunol. 2009;182:5623–32. [PubMed: 19380809]
- 87.
- Lin S-Y, Hsieh S-C, Lin Y-C, Lee C-N, Tsai M-H, Lai L-C, et al. A whole genome methylation analysis of systemic lupus erythematosus: hypomethylation of the IL10 and IL1R2 promoters is associated with disease activity. Genes Immun. 2012;13:214–20. [PubMed: 22048455]
- 88.
- Qin H-H, Zhu X-H, Liang J, Yang Y-S, Wang S-S, Shi W-M, et al. Associations between aberrant DNA methylation and transcript levels of DNMT1 and MBD2 in CD4+T cells from patients with systemic lupus erythematosus. Australas J Dermatol. 2013;54:90–5. [PubMed: 23127209]
- 89.
- Yang M, Gee AJP, Gee RJ, Zurita-lopez CI, Khare S, Clarke S, et al. Lupus autoimmunity altered by cellular methylation metabolism. Autoimmunity. 2013;46:21–31. [PMC free article: PMC3543504] [PubMed: 23039363]
- 90.
- Zhou Y, Lu Q. DNA methylation in T cells from idiopathic lupus and drug-induced lupus patients. Autoimmun Rev. 2008;7:376–83. [PubMed: 18486925]
- 91.
- Lee BH, Yegnasubramanian S, Lin X, Nelson WG. Procainamide is a specific inhibitor of DNA methyltransferase 1. J Biol Chem. 2005;280:40749–56. [PMC free article: PMC1989680] [PubMed: 16230360]
- 92.
- Deng C, Lu Q, Zhang Z, Rao T, Attwood J, Yung R, et al. Hydralazine may induce autoimmunity by inhibiting extracellular signal-regulated kinase pathway signaling. Arthritis Rheum. 2003;48:746–56. [PubMed: 12632429]
- 93.
- Gorelik G, Fang JY, Wu A, Sawalha AH, Richardson B. Impaired T cell protein kinase C delta activation decreases ERK pathway signaling in idiopathic and hydralazine-induced lupus. J Immunol. 2007;179:5553–63. [PubMed: 17911642]
- 94.
- Quddus J, Johnson KJ, Gavalchin J, Amento EP, Chrisp CE, Yung RL, et al. Treating activated CD4+ T cells with either of two distinct DNA methyltransferase inhibitors, 5-azacytidine or procainamide, is sufficient to cause a lupus-like disease in syngeneic mice. J Clin Invest. 1993;92:38–53. [PMC free article: PMC293525] [PubMed: 7686923]
- 95.
- Yung RL, Quddus J, Chrisp CE, Johnson KJ, Richardson BC. Mechanism of drug-induced lupus. I. Cloned Th2 cells modified with DNA methylation inhibitors in vitro cause autoimmunity in vivo. J Immunol. 1995;154:3025–35. [PubMed: 7533191]
- 96.
- Cornacchia E, Golbus J, Maybaum J, Strahler J, Hanash S, Richardson B. Hydralazine and procainamide inhibit T cell DNA methylation and induce autoreactivity. J Immunol. 1988;140:2197–200. [PubMed: 3258330]
- 97.
- Karouzakis E, Gay RE, Michel BA, Gay S, Neidhart M. DNA hypomethylation in rheumatoid arthritis synovial fibroblasts. Arthritis Rheum. 2009;60:3613–22. [PubMed: 19950268]
- 98.
- Fu L, Ma C, Cong B, Li S, Chen H, Zhang J. Hypomethylation of proximal CpG motif of interleukin-10 promoter regulates its expression in human rheumatoid arthritis. Acta Pharmacol Sin. 2011;32:1373–80. [PMC free article: PMC4002740] [PubMed: 21986577]
- 99.
- Kim YI, Logan JW, Mason JB, Roubenoff R. DNA hypomethylation in inflammatory arthritis: reversal with methotrexate. J Lab Clin Med. 1996;128:165–72. [PubMed: 8765212]
- 100.
- Neidhart M, Rethage J, Kuchen S, Künzler P, Crowl RM, Billingham ME, et al. Retrotransposable L1 elements expressed in rheumatoid arthritis synovial tissue: association with genomic DNA hypomethylation and influence on gene expression. Arthritis Rheum. 2000;43:2634–47. [PubMed: 11145021]
- 101.
- Kuchen S, Seemayer CA, Rethage J, Von Knoch R, Kuenzler P, Beat AM, et al. The L1 retroelement-related p40 protein induces p38delta MAP kinase. Autoimmunity. 2004;37:57–65. [PubMed: 15115313]
- 102.
- Nile CJ, Read RC, Akil M, Duff GW, Wilson AG. Methylation status of a single CpG site in the IL6 promoter is related to IL6 messenger RNA levels and rheumatoid arthritis. Arthritis Rheum. 2008;58:2686–93. [PubMed: 18759290]
- 103.
- Bull MJ, Williams AS, Mecklenburgh Z, Calder CJ, Twohig JP, Elford C, et al. The Death Receptor 3-TNF-like protein 1A pathway drives adverse bone pathology in inflammatory arthritis. J Exp Med. 2008;205:2457–64. [PMC free article: PMC2571920] [PubMed: 18824582]
- 104.
- Osawa K, Takami N, Shiozawa K, Hashiramoto A, Shiozawa S. Death receptor 3 (DR3) gene duplication in a chromosome region 1p36.3: gene duplication is more prevalent in rheumatoid arthritis. Genes Immun. 2004;5:439–43. [PubMed: 15241467]
- 105.
- Takami N, Osawa K, Miura Y, Komai K, Taniguchi M, Shiraishi M, et al. Hypermethylated promoter region of DR3, the death receptor 3 gene, in rheumatoid arthritis synovial cells. Arthritis Rheum. 2006;54:779–87. [PubMed: 16508942]
- 106.
- Nakano K, Whitaker JW, Boyle DL, Wang W, Firestein GS. DNA methylome signature in rheumatoid arthritis. Ann Rheum Dis. 2013;72:110–7. [PMC free article: PMC3549371] [PubMed: 22736089]
- 107.
- De la Rica L, Urquiza JM, Gómez-Cabrero D, Islam ABMMK, López-Bigas N, Tegnér J, et al. Identification of novel markers in rheumatoid arthritis through integrated analysis of DNA methylation and microRNA expression. J Autoimmun. 2013;41:6–16. [PubMed: 23306098]
- 108.
- Nakano K, Boyle DL, Firestein GS. Regulation of DNA methylation in rheumatoid arthritis synoviocytes. J Immunol. 2013;190:1297–303. [PMC free article: PMC3552038] [PubMed: 23277489]
- 109.
- Miao C-G, Huang C, Huang Y, Yang Y-Y, He X, Zhang L, et al. MeCP2 modulates the canonical Wnt pathway activation by targeting SFRP4 in rheumatoid arthritis fibroblast-like synoviocytes in rats. Cell Signal. 2013;25:598–608. [PubMed: 23200852]
- 110.
- Miao C-G, Yang Y-Y, He X, Li J. New advances of DNA methylation and histone modifications in rheumatoid arthritis, with special emphasis on MeCP2. Cell Signal. 2013;25:875–82. [PubMed: 23277203]
- 111.
- Liu Y, Aryee MJ, Padyukov L, Fallin MD, Hesselberg E, Runarsson A, et al. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis. Nat Biotechnol. 2013;31:142–7. [PMC free article: PMC3598632] [PubMed: 23334450]
- 112.
- Meda F, Folci M, Baccarelli A, Selmi C. The epigenetics of autoimmunity. Cell Mol Immunol. 2011;8:226–36. [PMC free article: PMC3093958] [PubMed: 21278766]
- 113.
- Schalinske KL. Interrelationship between diabetes and homocysteine metabolism: hormonal regulation of cystathionine beta-synthase. Nutr Rev. 2003;61:136–8. [PubMed: 12795447]
- 114.
- McCarty MF. Insulin secretion as a potential determinant of homocysteine levels. Med Hypotheses. 2000;55:454–5. [PubMed: 11058429]
- 115.
- Wijekoon EP, Brosnan ME, Brosnan JT. Homocysteine metabolism in diabetes. Biochem Soc Trans. 2007;35:1175–9. [PubMed: 17956306]
- 116.
- Arany E, Strutt B, Romanus P, Remacle C, Reusens B, Hill DJ. Taurine supplement in early life altered islet morphology, decreased insulitis and delayed the onset of diabetes in non-obese diabetic mice. Diabetologia. 2004;47:1831–7. [PubMed: 15502919]
- 117.
- Boujendar S, Arany E, Hill D, Remacle C, Reusens B. Taurine supplementation of a low protein diet fed to rat dams normalizes the vascularization of the fetal endocrine pancreas. J Nutr. 2003;133:2820–5. [PubMed: 12949371]
- 118.
- Li Y, Zhao M, Hou C, Liang G, Yang L, Tan Y, et al. Abnormal DNA methylation in CD4+ T cells from people with latent autoimmune diabetes in adults. Diabetes Res Clin Pract. 2011;94:242–8. [PubMed: 21864931]
- 119.
- Fradin D, Le Fur S, Mille C, Naoui N, Groves C, Zelenika D, et al. Association of the CpG methylation pattern of the proximal insulin gene promoter with type 1 diabetes. PloS one. 2012;7:e36278. [PMC free article: PMC3342174] [PubMed: 22567146]
- 120.
- Rakyan VK, Beyan H, Down TA, Hawa MI, Maslau S, Aden D, et al. Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis. PLoS Genet. 2011;7:e1002300. [PMC free article: PMC3183089] [PubMed: 21980303]
- 121.
- Mastronardi FG, Noor A, Wood DD, Paton T, Moscarello MA. Peptidyl argininedeiminase 2 CpG island in multiple sclerosis white matter is hypomethylated. J Neurosci Res. 2007;85:2006–16. [PubMed: 17469138]
- 122.
- Moscarello MA, Mastronardi FG, Wood DD. The role of citrullinated proteins suggests a novel mechanism in the pathogenesis of multiple sclerosis. Neurochem Res. 2007;32:251–6. [PMC free article: PMC1794624] [PubMed: 17031564]
- 123.
- Musse AA, Boggs JM, Harauz G. Deimination of membrane-bound myelin basic protein in multiple sclerosis exposes an immunodominant epitope. Proc Natl Acad Sci U.S.A. 2006;103:4422–7. [PMC free article: PMC1450187] [PubMed: 16537438]
- 124.
- Tranquill LR, Cao L, Ling NC, Kalbacher H, Martin RM, Whitaker JN. Enhanced T cell responsiveness to citrulline-containing myelin basic protein in multiple sclerosis patients. Mult Scler. 2000;6:220–5. [PubMed: 10962541]
- 125.
- Calabrese R, Zampieri M, Mechelli R, Annibali V, Guastafierro T, Ciccarone F, et al. Methylation-dependent PAD2 upregulation in multiple sclerosis peripheral blood. Mult Scler. 2012;18:299–304. [PubMed: 21878453]
- 126.
- Kumagai C, Kalman B, Middleton Fa, Vyshkina T, Massa PT. Increased promoter methylation of the immune regulatory gene SHP-1 in leukocytes of multiple sclerosis subjects. J Neuroimmunol. 2012;246:51–7. [PMC free article: PMC3335962] [PubMed: 22458980]
- 127.
- Liggett T, Melnikov A, Tilwalli S, Yi Q, Chen H, Replogle C, et al. Methylation patterns of cell-free plasma DNA in relapsing-remitting multiple sclerosis. J Neurol Sci. 2010;290:16–21. [PMC free article: PMC2815078] [PubMed: 20064646]
- 128.
- González S, Aguilera S, Alliende C, Urzúa U, Quest AFG, Herrera L, et al. Alterations in type I hemidesmosome components suggestive of epigenetic control in the salivary glands of patients with Sjögren’s syndrome. Arthritis Rheum. 2011;63:1106–15. [PubMed: 21305504]
- 129.
- Yin H, Zhao M, Wu X, Gao F, Luo Y, Ma L, et al. Hypomethylation and overexpression of CD70 (TNFSF7) in CD4+ T cells of patients with primary Sjögren’s syndrome. J Dermatol Sci. 2010;59:198–203. [PubMed: 20724115]
- 130.
- Schett G, Smole J, Zimmermann C, Hiesberger H, Hoefler E, Fournel S, et al. The autoimmune response to chromatin antigens in systemic lupus erythematosus: autoantibodies against histone H1 are a highly specific marker for SLE associated with increased disease activity. Lupus. 2002;11:704–15. [PubMed: 12475000]
- 131.
- Bruns A, Bläss S, Hausdorf G, Burmester GR, Hiepe F. Nucleosomes are major T and B cell autoantigens in systemic lupus erythematosus. Arthritis Rheum. 2000;43:2307–15. [PubMed: 11037891]
- 132.
- Koutouzov S, Jeronimo AL, Campos H, Amoura Z. Nucleosomes in the pathogenesis of systemic lupus erythematosus. Rheum Dis Clin North Am. 2004;30:529–58. [PubMed: 15261340]
- 133.
- Van Bavel CC, Dieker JW, Tamboer WP, Van der Vlag J, Berden JH. Lupus-derived monoclonal autoantibodies against apoptotic chromatin recognize acetylated conformational epitopes. Mol Immunol. 2010;48:248–56. [PubMed: 20817300]
- 134.
- Hu N, Qiu X, Luo Y, Yuan J, Li Y, Lei W, et al. Abnormal histone modification patterns in lupus CD4+ T cells. J Rheumatol. 2008;35:804–10. [PubMed: 18398941]
- 135.
- Amoura Z, Koutouzov S, Piette JC. The role of nucleosomes in lupus. Curr Opin Rheumatol. 2000;12:369–73. [PubMed: 10990171]
- 136.
- Van Bavel CC, Dieker J, Muller S, Briand J-P, Monestier M, Berden JH, et al. Apoptosis-associated acetylation on histone H2B is an epitope for lupus autoantibodies. Mol Immunol. 2009;47:511–6. [PubMed: 19747733]
- 137.
- Van Bavel CC, Dieker JW, Kroeze Y, Tamboer WP, Voll R, Muller S, et al. Apoptosis-induced histone H3 methylation is targeted by autoantibodies in systemic lupus erythematosus. Ann Rheum Dis. 2011;70:201–7. [PubMed: 20699234]
- 138.
- Zhang Z, Song L, Maurer K, Petri MA, Sullivan KE. Global H4 acetylation analysis by ChIP-chip in systemic lupus erythematosus monocytes. Genes Immun. 2010;11:124–33. [PMC free article: PMC2832080] [PubMed: 19710693]
- 139.
- Dai Y, Zhang L, Hu C, Zhang Y. Genome-wide analysis of histone H3 lysine 4 trimethylation by ChIP-chip in peripheral blood mononuclear cells of systemic lupus erythematosus patients. Clin Exp Rheumatol. 28:158–68. [PubMed: 20483040]
- 140.
- Zhang Z, Song L, Maurer K, Bagashev A, Sullivan KE. Monocyte polarization: the relationship of genome-wide changes in H4 acetylation with polarization. Genes Immun. 2011;12:445–56. [PMC free article: PMC3757344] [PubMed: 21451557]
- 141.
- Liu CL, Tangsombatvisit S, Rosenberg JM, Mandelbaum G, Gillespie EC, Gozani OP, et al. Specific post-translational histone modifications of neutrophil extracellular traps as immunogens and potential targets of lupus autoantibodies. Arthritis Res Ther. 2012;14:403. [PMC free article: PMC3392818] [PubMed: 22300536]
- 142.
- Buckland J. Rheumatoid arthritis: HDAC and HDACi: pathogenetic and mechanistic insights. Nat Rev Rheumatol. 2011;7:682. [PubMed: 22009328]
- 143.
- Grabiec AM, Reedquist KA. Histone deacetylases in RA: epigenetics and epiphenomena. Arthritis Res Ther. 2010;12:142. [PMC free article: PMC2991004] [PubMed: 20959025]
- 144.
- Huber LC, Brock M, Hemmatazad H, Giger OT, Moritz F, Trenkmann M, et al. Histone deacetylase/acetylase activity in total synovial tissue derived from rheumatoid arthritis and osteoarthritis patients. Arthritis Rheum. 2007;56:1087–93. [PubMed: 17393417]
- 145.
- Gillespie J, Savic S, Wong C, Hempshall A, Inman M, Emery P, et al. Histone deacetylases are dysregulated in rheumatoid arthritis and a novel histone deacetylase 3-selective inhibitor reduces interleukin-6 production by peripheral blood mononuclear cells from rheumatoid arthritis patients. Arthritis Rheum. 2012;64:418–22. [PubMed: 21952924]
- 146.
- Young DA, Lakey RL, Pennington CJ, Jones D, Kevorkian L, Edwards DR, et al. Histone deacetylase inhibitors modulate metalloproteinase gene expression in chondrocytes and block cartilage resorption. Arthritis Res Ther. 2005;7:R503–12. [PMC free article: PMC1174946] [PubMed: 15899037]
- 147.
- Nishida K, Komiyama T, Miyazawa S-I, Shen Z-N, Furumatsu T, Doi H, et al. Histone deacetylase inhibitor suppression of autoantibody-mediated arthritis in mice via regulation of p16INK4a and p21(WAF1/Cip1) expression. Arthritis Rheum. 2004;50:3365–76. [PubMed: 15476220]
- 148.
- Manabe H, Nasu Y, Komiyama T, Furumatsu T, Kitamura A, Miyazawa S, et al. Inhibition of histone deacetylase down-regulates the expression of hypoxia-induced vascular endothelial growth factor by rheumatoid synovial fibroblasts. Inflamm Res. 2008;57:4–10. [PubMed: 18209959]
- 149.
- Grabiec AM, Korchynskyi O, Tak PP, Reedquist Ka. Histone deacetylase inhibitors suppress rheumatoid arthritis fibroblast-like synoviocyte and macrophage IL-6 production by accelerating mRNA decay. Ann Rheum Dis. 2012;71:424–31. [PMC free article: PMC3277722] [PubMed: 21953341]
- 150.
- Choo Q-Y, Ho PC, Tanaka Y, Lin H-S. Histone deacetylase inhibitors MS-275 and SAHA induced growth arrest and suppressed lipopolysaccharide-stimulated NF-kappaB p65 nuclear accumulation in human rheumatoid arthritis synovial fibroblastic E11 cells. Rheumatology (Oxford). 2010;49:1447–60. [PubMed: 20421217]
- 151.
- Nasu Y, Nishida K, Miyazawa S, Komiyama T, Kadota Y, Abe N, et al. Trichostatin A, a histone deacetylase inhibitor, suppresses synovial inflammation and subsequent cartilage destruction in a collagen antibody-induced arthritis mouse model. Osteoarthritis Cartilage. 2008;16:723–32. [PubMed: 18226559]
- 152.
- Miao F, Smith DD, Zhang L, Min A, Feng W, Natarajan R. Lymphocytes from patients with type 1 diabetes display a distinct profile of chromatin histone H3 lysine 9 dimethylation: an epigenetic study in diabetes. Diabetes. 2008;57:3189–98. [PMC free article: PMC2584123] [PubMed: 18776137]
- 153.
- Villeneuve LM, Reddy MA, Lanting LL, Wang M, Meng L, Natarajan R. Epigenetic histone H3 lysine 9 methylation in metabolic memory and inflammatory phenotype of vascular smooth muscle cells in diabetes. Proc Natl Acad Sci U.S.A. 2008;105:9047–52. [PMC free article: PMC2449362] [PubMed: 18579779]
- 154.
- Li Y, Reddy MA, Miao F, Shanmugam N, Yee J-K, Hawkins D, et al. Role of the histone H3 lysine 4 methyltransferase, SET7/9, in the regulation of NF-kappaB-dependent inflammatory genes. Relevance to diabetes and inflammation. J Biol Chem. 2008;283:26771–81. [PMC free article: PMC2546554] [PubMed: 18650421]
- 155.
- Miao F, Chen Z, Zhang L, Liu Z, Wu X, Yuan Y-C, et al. Profiles of epigenetic histone post-translational modifications at type 1 diabetes susceptible genes. J Biol Chem. 2012;287:16335–45. [PMC free article: PMC3351309] [PubMed: 22431725]
- 156.
- Cooper ME, El-Osta A. Epigenetics: mechanisms and implications for diabetic complications. Circ Res. 2010;107:1403–13. [PubMed: 21148447]
- 157.
- Villeneuve LM, Natarajan R. The role of epigenetics in the pathology of diabetic complications. Am J Physiol Renal Physiol. 2010;299:F14–25. [PMC free article: PMC2904177] [PubMed: 20462972]
- 158.
- Reddy MA, Natarajan R. Role of epigenetic mechanisms in the vascular complications of diabetes. Subcell Biochem. 2012;61:435–54. [PMC free article: PMC6684114] [PubMed: 23150262]
- 159.
- Pedre X, Mastronardi F, Bruck W, López-Rodas G, Kuhlmann T, Casaccia P. Changed histone acetylation patterns in normal-appearing white matter and early multiple sclerosis lesions. J Neurosci. 2011;31:3435–45. [PMC free article: PMC3081530] [PubMed: 21368055]
- 160.
- Inkster B, Strijbis EMM, Vounou M, Kappos L, Radue E-W, Matthews PM, et al. Histone deacetylase gene variants predict brain volume changes in multiple sclerosis. Neurobiol Aging. 2013;34:238–47. [PubMed: 22884548]
- 161.
- Vanden Berghe W, Ndlovu MN, Hoya-Arias R, Dijsselbloem N, Gerlo S, Haegeman G. Keeping up NF-kappaB appearances: epigenetic control of immunity or inflammation-triggered epigenetics. Biochem Pharmacol. 2006;72:1114–31. [PubMed: 16934762]
- 162.
- Verlaan DJ, Berlivet S, Hunninghake GM, Madore A-M, Larivière M, Moussette S, et al. Allele-specific chromatin remodeling in the ZPBP2/GSDMB/ORMDL3 locus associated with the risk of asthma and autoimmune disease. Am J Hum Genet. 2009;85:377–93. [PMC free article: PMC2771592] [PubMed: 19732864]
- 163.
- Tang Y, Luo X, Cui H, Ni X, Yuan M, Guo Y, et al. MicroRNA-146A contributes to abnormal activation of the type I interferon pathway in human lupus by targeting the key signaling proteins. Arthritis Rheum. 2009;60:1065–75. [PubMed: 19333922]
- 164.
- Pan W, Zhu S, Yuan M, Cui H, Wang L, Luo X, et al. MicroRNA-21 and microRNA-148a contribute to DNA hypomethylation in lupus CD4+ T cells by directly and indirectly targeting DNA methyltransferase 1. J Immunol. 2010;184:6773–81. [PubMed: 20483747]
- 165.
- Zhao X, Tang Y, Qu B, Cui H, Wang S, Wang L, et al. MicroRNA-125a contributes to elevated inflammatory chemokine RANTES levels via targeting KLF13 in systemic lupus erythematosus. Arthritis Rheum. 2010;62:3425–35. [PubMed: 20589685]
- 166.
- Luo X, Zhang L, Li M, Zhang W, Leng X, Zhang F, et al. The role of miR-125b in T lymphocytes in the pathogenesis of systemic lupus erythematosus. Clin Exp Rheumatol. 2013;31:263–71. [PubMed: 23305626]
- 167.
- Calame K. MicroRNA-155 function in B Cells. Immunity. 2007;27:825–7. [PubMed: 18093533]
- 168.
- O’Connell RM, Kahn D, Gibson WSJ, Round JL, Scholz RL, Chaudhuri AA, et al. MicroRNA-155 promotes autoimmune inflammation by enhancing inflammatory T cell development. Immunity. 2010;33:607–19. [PMC free article: PMC2966521] [PubMed: 20888269]
- 169.
- Zhao S, Wang Y, Liang Y, Zhao M, Long H, Ding S, et al. MicroRNA-126 regulates DNA methylation in CD4(+) T cells and contributes to systemic lupus erythematosus by targeting DNA methyltransferase 1. Arthritis Rheum. 2010;63:1376–86. [PubMed: 21538319]
- 170.
- Carlsen AL, Schetter AJ, Nielsen CT, Lood C, Knudsen S, Voss A, et al. Circulating microRNA expression profiles associated with systemic lupus erythematosus. Arthritis Rheum. 2013;65:1324–34. [PMC free article: PMC6662589] [PubMed: 23401079]
- 171.
- Stanczyk J, Pedrioli DML, Brentano F, Sanchez-Pernaute O, Kolling C, Gay RE, et al. Altered expression of MicroRNA in synovial fibroblasts and synovial tissue in rheumatoid arthritis. Arthritis Rheum. 2008;58:1001–9. [PubMed: 18383392]
- 172.
- Li J, Wan Y, Guo Q, Zou L, Zhang J, Fang Y, et al. Altered microRNA expression profile with miR-146a upregulation in CD4+ T cells from patients with rheumatoid arthritis. Arthritis Res Ther. 2010;12:R81. [PMC free article: PMC2911863] [PubMed: 20459811]
- 173.
- Nakasa T, Miyaki S, Okubo A, Hashimoto M, Nishida K, Ochi M, et al. Expression of microRNA-146 in rheumatoid arthritis synovial tissue. Arthritis Rheum. 2008;58:1284–92. [PMC free article: PMC2749927] [PubMed: 18438844]
- 174.
- Niimoto T, Nakasa T, Ishikawa M, Okuhara A, Izumi B, Deie M, et al. MicroRNA-146a expresses in interleukin-17 producing T cells in rheumatoid arthritis patients. BMC Musculoskelet Disord. 2010;11:209. [PMC free article: PMC2950393] [PubMed: 20840794]
- 175.
- Trenkmann M, Brock M, Gay RE, Michel Ba, Gay S, Huber LC. The TNFα-induced miR-18a activates rheumatoid arthritis synovial fibroblasts through a feedback loop in NF-κB signaling. Arthritis Rheum. 2013;65:916–27. [PubMed: 23280137]
- 176.
- Stanczyk J, Ospelt C, Karouzakis E, Filer A, Raza K, Kolling C, et al. Altered expression of microRNA-203 in rheumatoid arthritis synovial fibroblasts and its role in fibroblast activation. Arthritis Rheum. 2011;63:373–81. [PMC free article: PMC3116142] [PubMed: 21279994]
- 177.
- Nakamachi Y, Kawano S, Takenokuchi M, Nishimura K, Sakai Y, Chin T, et al. MicroRNA-124a is a key regulator of proliferation and monocyte chemoattractant protein 1 secretion in fibroblast-like synoviocytes from patients with rheumatoid arthritis. Arthritis Rheum. 2009;60:1294–304. [PubMed: 19404929]
- 178.
- Kawano S, Nakamachi Y. miR-124a as a key regulator of proliferation and MCP-1 secretion in synoviocytes from patients with rheumatoid arthritis. Ann Rheum Dis. 2011;70(Suppl 1):i88–91. [PubMed: 21339227]
- 179.
- Donate PB, Fornari Ta, Macedo C, Cunha TM, Nascimento DCB, Sakamoto-Hojo ET, et al. T Cell Post-Transcriptional miRNA-mRNA Interaction Networks Identify Targets Associated with Susceptibility/Resistance to Collagen-induced Arthritis. PloS one. 2013;8:e54803. [PMC free article: PMC3554629] [PubMed: 23359619]
- 180.
- Du C, Liu C, Kang J, Zhao G, Ye Z, Huang S, et al. MicroRNA miR-326 regulates TH-17 differentiation and is associated with the pathogenesis of multiple sclerosis. Nat Immunol. 2009;10:1252–9. [PubMed: 19838199]
- 181.
- Junker A, Krumbholz M, Eisele S, Mohan H, Augstein F, Bittner R, et al. MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47. Brain. 2009;132:3342–52. [PubMed: 19952055]
- 182.
- Smith KM, Guerau-de-Arellano M, Costinean S, Williams JL, Bottoni A, Mavrikis Cox G, et al. miR-29ab1 deficiency identifies a negative feedback loop controlling Th1 bias that is dysregulated in multiple sclerosis. J Immunol. 2012;189:1567–76. [PMC free article: PMC3411895] [PubMed: 22772450]
- 183.
- De Santis G, Ferracin M, Biondani A, Caniatti L, Rosaria Tola M, Castellazzi M, et al. Altered miRNA expression in T regulatory cells in course of multiple sclerosis. J Neuroimmunol. 2010;226:165–71. [PubMed: 20637509]
- 184.
- Otaegui D, Baranzini SE, Armañanzas R, Calvo B, Muñoz-Culla M, Khankhanian P, et al. Differential micro RNA expression in PBMC from multiple sclerosis patients. PloS one. 2009;4:e6309. [PMC free article: PMC2708922] [PubMed: 19617918]
- 185.
- Lorenzi JCC, Brum DG, Zanette DL, De Paula Alves Souza A, Barbuzano FG, Dos Santos AC, et al. miR-15a and 16–1 are downregulated in CD4+ T cells of multiple sclerosis relapsing patients. Int J Neurosci. 2012;122:466–71. [PubMed: 22463747]
- 186.
- Ponomarev ED, Veremeyko T, Barteneva N, Krichevsky AM, Weiner HL. MicroRNA-124 promotes microglia quiescence and suppresses EAE by deactivating macrophages via the C/ EBP-α-PU.1 pathway. Nat Med. 2011;17:64–70. [PMC free article: PMC3044940] [PubMed: 21131957]
- 187.
- Haghikia A, Haghikia A, Hellwig K, Baraniskin A, Holzmann A, Décard BF, et al. Regulated microRNAs in the CSF of patients with multiple sclerosis: a case-control study. Neurology. 2012;79:2166–70. [PubMed: 23077021]
- 188.
- Hezova R, Slaby O, Faltejskova P, Mikulkova Z, Buresova I, Raja KRM, et al. microRNA-342, microRNA-191 and microRNA-510 are differentially expressed in T regulatory cells of type 1 diabetic patients. Cell Immunol. 2010;260:70–4. [PubMed: 19954774]
- 189.
- Mi Q-S, He H-Z, Dong Z, Isales C, Zhou L. microRNA deficiency in pancreatic islet cells exacerbates streptozotocin-induced murine autoimmune diabetes. Cell Cycle. 2010;9:3127–9. [PubMed: 20699654]
- 190.
- Roggli E, Britan A, Gattesco S, Lin-Marq N, Abderrahmani A, Meda P, et al. Involvement of microRNAs in the cytotoxic effects exerted by proinflammatory cytokines on pancreatic beta-cells. Diabetes. 2010;59:978–86. [PMC free article: PMC2844845] [PubMed: 20086228]
- 191.
- Salas-Pérez F, Codner E, Valencia E, Pizarro C, Carrasco E, Pérez-Bravo F. MicroRNAs miR-21a and miR-93 are down regulated in peripheral blood mononuclear cells (PBMCs) from patients with type 1 diabetes. Immunobiology. 2013;218:733–7. [PubMed: 22999472]
- 192.
- Nielsen LB, Wang C, Sørensen K, Bang-Berthelsen CH, Hansen L, Andersen M-LM, et al. Circulating levels of microRNA from children with newly diagnosed type 1 diabetes and healthy controls: evidence that miR-25 associates to residual beta-cell function and glycaemic control during disease progression. Exp Diabetes Res. 2012;2012:896362. [PMC free article: PMC3398606] [PubMed: 22829805]
- 193.
- Gallo A, Tandon M, Alevizos I, Illei GG. The majority of microRNAs detectable in serum and saliva is concentrated in exosomes. PloS one. 2012;7:e30679. [PMC free article: PMC3302865] [PubMed: 22427800]
- 194.
- Alevizos I, Illei GG. MicroRNAs in Sjögren’s syndrome as a prototypic autoimmune disease. Autoimmun Rev. 2010;9:618–21. [PMC free article: PMC3408312] [PubMed: 20457282]
- 195.
- Zilahi E, Tarr T, Papp G, Griger Z, Sipka S, Zeher M. Increased microRNA-146a/b, TRAF6 gene and decreased IRAK1 gene expressions in the peripheral mononuclear cells of patients with Sjögren’s syndrome. Immunol Lett. 2012;141:165–8. [PubMed: 22033216]
- 196.
- Pauley KM, Stewart CM, Gauna AE, Dupre LC, Kuklani R, Chan AL, et al. Altered miR-146a expression in Sjögren’s syndrome and its functional role in innate immunity. Eur J Immunol. 2011;41:2029–39. [PMC free article: PMC3760391] [PubMed: 21469088]
- 197.
- Liang C, Xiong K, Szulwach KE, Zhang Y, Wang Z, Peng J, et al. Sjogren syndrome antigen B (SSB)/La promotes global microRNA expression by binding microRNA precursors through stem-loop recognition. J Biol Chem. 2013;288:723–36. [PMC free article: PMC3537071] [PubMed: 23129761]
- 198.
- Sebastiani G, Grieco FA, Spagnuolo I, Galleri L, Cataldo D, Dotta F. Increased expression of microRNA miR-326 in type 1 diabetic patients with ongoing islet autoimmunity. Diabetes Metab Res Rev. 2011;27:862–6. [PubMed: 22069274]
- Epigenetics and autoimmune diseases - AutoimmunityEpigenetics and autoimmune diseases - Autoimmunity
Your browsing activity is empty.
Activity recording is turned off.
See more...

