- Research article
- Open Access
Juvenile idiopathic arthritis associated with a mutation in GATA3
Arthritis Research & Therapy volume 21, Article number: 156 (2019)
GATA3 is a transcription factor that is important during development and plays a role in differentiation and activity of immune cells, particularly T cells. Abnormal T cell function is found in autoimmune arthritis. We present the first known case of autoimmune arthritis associated with a novel GATA3 mutation.
Whole exome sequencing of the proband was performed on a clinical basis. Peripheral blood mononuclear cells (PBMCs) were collected from the proband, healthy sibling, and parent. cDNA prepared from RNA was analyzed with polymerase chain reaction and Sanger sequencing. Intracellular proteins were assessed by immunoblot of PBMC homogenates. GATA3 in vitro activity was measured in HeLa cell cultures expressing a mammalian expression vector containing GATA3 or mutants generated by site-directed mutagenesis. GATA3 transcriptional activity was examined using a luciferase reporter assay system. T helper cell ex vivo function was evaluated by stimulating PBMCs to differentiate into effector T cells along Th0, Th1, Th2, and Th17 lineages, and re-stimulating effector cells to secrete cytokines. Cytokine production was measured by enzyme-linked immunosorbent assay.
The proband is the first known case of autoimmune arthritis associated with a mutation in GATA3. The proband M401VfsX106 protein is expressed and has a dominant negative function on GATA3 transcriptional activity. The proband PBMCs have markedly increased differentiation along the Th1 and Th17 pathways, with decreased differentiation along the Th2 pathway. Unexpectedly, Th0 cells from the proband express high levels of IFNγ.
Our research presents the first known case of autoimmune arthritis associated with a mutation in GATA3. This work expands the phenotypic spectrum of GATA3 mutations. It reveals the novel insight that decreased and altered GATA3 activity coincides with autoimmune arthritis. This work suggests that modulation of GATA3 may be a therapeutic approach for patients with autoimmune arthritis.
GATA3 is essential for early thymocyte and mature peripheral T cell development . In T cells, GATA3 is the master transcription factor driving naïve T cell differentiation to effector T helper 2 (Th2) cells. Conversely, GATA3 suppresses Th1 and Th17 cell differentiation. In Th1 cells, this occurs by a counter-regulatory interaction with the Th1 master transcription factor, T-bet . Th1, Th2, and Th17 cells are important for clearance of intracellular, helminth, and extracellular and fungal pathogens respectively . An increase in Th2 cell activity associates with atopic disease, whereas increases in Th1 and Th17 cell activity associate with autoimmune and inflammatory conditions.
Autoimmune diseases, including rheumatoid arthritis (RA), are linked to an increase in Th1 and Th17 activity . In both children and adults with autoimmune arthritis, Th1 and Th17 cells are present in inflamed synovium [5,6,7]. In murine models, Th2 cells have a role in suppressing inflammatory arthritis . Moreover, GATA3 is a susceptibility locus associated with rheumatoid arthritis, though mechanistic detail is lacking .
Patients with rare defects in the gene encoding GATA3 have hypoparathyroidism, sensorineural deafness, and renal disease (HDR) (MIM 146255) resulting from decreased GATA3 function . In one case report, a pediatric HDR patient also developed type I diabetes . The studied GATA3 mutations result in loss of function [12, 13], with one missense mutant in a DNA-binding domain causing a dominant negative . Stimulation of T cells from HDR patients suggests an increase in Th1 and a reduction in Th2 phenotypes, with an overall Th1-dominated immunity .
Whole exome sequencing (WES) is quickly becoming a standard of care in patients with complex phenotypes, particularly when features suggest the possibility of two different genetic disorders. Studies suggest improved diagnostic rates and cost-effectiveness by ending the diagnostic odyssey in positive cases [16,17,18]. We performed WES of our proband who has congenital ptosis, strabismus, bilateral sensorineural hearing loss, bilateral choanal atresia, endocrinopathies, renal cysts, and psoriatic juvenile idiopathic arthritis (JIA). We identified a de novo heterozygous mutation in GATA3 that causes a frameshift with stop-loss and elongation of the C-terminus and has a dominant negative mechanism.
Trio whole exome sequencing was performed on a clinical basis. Using genomic DNA from the proband and parents, the exonic regions and flanking splice junctions of the genome were captured using the IDT xGen Exome Research Panel v1.0. Massively parallel (NextGen) sequencing was done on an Illumina system with 100 bp or greater paired-end reads. Mean coverage of captured regions was ~ 102× per sample, with > 98% having a depth of coverage of at least 10×. Reads were aligned to human genome build GRCh37/UCSC hg19 and analyzed for sequence variants using a custom-developed analysis tool. Additional sequencing technology and variant interpretation protocol has been previously described . The general assertion criteria for variant classification are publicly available on the GeneDx ClinVar submission page (http://www.ncbi.nlm.nih.gov/clinvar/submitters/26957/).
Peripheral blood mononuclear cells (PBMCs) were collected from the proband and healthy 2-year-old brother using density separation. RNA was purified and complementary DNA (cDNA) synthesized. Segments of the GATA3 gene containing the mutation were amplified using polymerase chain reaction (PCR) from cDNA. Sanger sequencing was performed. Immunoblotting was performed with PBMC homogenates and rabbit monoclonal antibody against GATA3 (Abcam ab214804) and HRP-conjugated mouse monoclonal antibody against actin (Promega). Quantitative real-time PCR was used to assess expressed mRNAs using SYBR green master mix (Applied Biosystems).
GATA3 in vitro activity
HeLa cells were transfected with a vector containing the luciferase gene driven by GATA binding sites (pGL3 GATA Luc, Addgene)  and constructs containing wildtype (RSV/hGATA3, Addgene)  and/or mutant GATA3. GATA3 mutants were generated by site-directed mutagenesis and included the proband mutation M401VfsX106, a M401X truncation, and three HDR-associated mutants, a G248X truncation, a C321S missense mutation, and H400HfsX107. G248X removes both critical sites for DNA binding. C321S mutates a critical position in the DNA-binding domain and has been characterized as a dominant-negative mutant . H400HfsX107 results in frame shift at position 400 with a 107 amino acid elongation . After transfection, HeLa cells were lysed and luciferase activity determined using a Luciferase Assay System (Promega).
GATA3 ex vivo function in Th cells
Functional studies were performed by assessing the potential of the proband and sibling T cells to differentiate into effector T cells along Th0, Th1, Th2, and Th17 lineages and secrete respective cytokines upon re-stimulation. Proband PBMCs were obtained at two separate timepoints, 9 months and 12 months, after diagnosis of JIA. PBMCs from the sibling were obtained on the 12-month timepoint. PBMCs from the 9-month collection were assessed immediately after collection. PBMCs from the 12-month collection were frozen in fetal bovine serum with 10% DMSO and then thawed immediately before assessment. We use well-defined tissue culture model protocols for Th cell differentiation and cytokine secretion, referred to as the Th differentiation assay . In this assay, PBMCs were induced to proliferate on plates precoated with anti-CD3 (10 μg/mL, OKT3 clone, prepared in Aune laboratory) with the addition of soluble anti-CD28 (1 μg/mL, Biolegend). Cytokines were added to drive differentiation along Th differentiation pathways for 5–7 days, Th1: interleukin (IL)-12 (10 ng/mL), Th2: IL-4 (10 ng/mL), or Th17: IL-6 (50 ng/mL), IL-1β (20 ng/mL), TGF-β1 (2 ng/mL), IL-23 (20 ng/mL), IL-21 (100 ng/mL), anti-interferon (IFN)γ (10 μg/mL). IL-12, IL-4, IL-6, and IL-1β were purchased from BD Biosciences. Anti-IFNγ was purchased from BD Pharminogen. IL-1β, TGF-β1, IL-23, and IL-21 were purchased from R&D Systems. Differentiated Th cultures were harvested and re-stimulated on plates precoated with anti-CD3. Cultures were collected after 2 days and analyzed for levels of these cytokines by enzyme-linked immunosorbent assay (ELISA), Th1: IFNγ, Th2: IL-5 and IL-13, Th17: IL-17A, Th0: IFNγ. IFNγ and IL-5 ELISA kits were purchased from BD Biosciences. The IL-13 and IL-17A ELISA kits were purchased from ThermoFisher Scientific.
All applied statistical tests were two-tailed unpaired t test with Welch’s correction. P < 0.05 was considered significant.
Our proband presented as a 3 year-old boy with developmental delay, choanal atresia, hypoparathyroidism, hypothyroidism, ptosis, renal cysts, sensorineural hearing loss, psoriasis, and polyarthritis that was diagnosed as JIA, psoriatic subtype. At onset, he had arthritis in bilateral knees and ankles, left hip, multiple metacarpals, and dactylitis in one toe (Additional file 1: Figure S1a). Magnetic resonance imaging of the bilateral ankles showed multiple sites of tenosynovitis and synovitis. He was HLA-B27 negative and ANA positive 1:640. He had no clinical immunodeficiency, with an appropriate response to childhood immunizations and normal serum immunoglobulin levels (Additional file 1: Table S1).
He was managed with intra-articular corticosteroid injections in bilateral knees and ankles that resulted in improved inflammation of both arthritis and psoriasis. He initiated maintenance therapy with methotrexate. He responded well to therapies, with a subsequent transient episode of ankle arthritis in the setting of an acute otitis media (Fig. 1a). He has low normal levels of total white blood cells, with absolute lymphocytes and CD4+ lymphocytes persistently around the lower limits of normal (Fig. 1a). Paralleling this, his CD3+, CD8+, and CD19+ lymphocytes have been around the lower limits of normal, with CD16&56+ lymphocytes overall normal (Additional file 1: Figure S1b). On therapy, he has had no unusual infections.
Trio WES on the proband and his parents revealed a de novo c.1201_1202delAT: pMet401ValfsX106 variant in exon 6 of the GATA3 gene (Additional file 1: Figure S1c). Analysis under different inheritance models (i.e., autosomal de novo, homozygous recessive, compound heterozygous, X-linked de novo, X-linked recessive models) did not identify other reportable variants in the exome analysis. Our proband’s variant caused a frameshift starting with codon methionine 401, changing it to valine and creating a stop-loss at position 106 in the new reading frame (M401VfsX106). This caused 44 correct amino acids to be replaced by 105 incorrect amino acids (Fig. 1b). M401VfsX106 retained the domains important for GATA3 dimer formation and DNA binding. This variant has not been observed GnomAD (accessed March 22, 2019) nor reported in JIA or HDR patients.
GATA3 RNA and protein expression were assessed in PBMC from the proband and family controls. The amplified proband cDNA exhibited expression of both GATA3 and M401VfsX106 at approximately equal transcript levels, indicating the mutant mRNA escapes nonsense-mediated decay (Fig. 1c). Protein analysis of PBMCs showed the proband expressed both GATA3 and M401VfsX106, whereas parent and sibling expressed only GATA3 (Fig. 1d). The proband expressed less GATA3 than controls, likely due to heterozygosity. The proband M401VfsX106 was expressed at a lower level than the proband GATA3.
GATA3 transcriptional activity
GATA3 function was measured by assessing the ability of mutant or wildtype protein to drive transcription of a GATA-luciferase reporter construct in HeLa cells, which do not express GATA3. Constructs included GATA3, M401X truncation, and the HDR-causing mutants M401VfsX106, G248X, and C321S (Fig. 2a). All constructs were expressed in HeLa cells at the predicted molecular weights, though G248X was expressed at a lower level (Fig. 2c). GATA3 stimulated a significant increase in luciferase expression in HeLa cells (Fig. 2b). The M401X truncation stimulated an even greater increase in luciferase expression, suggesting the natural C-terminus decreases downstream transcription. All HDR mutants had significantly decreased luciferase expression compared to GATA3, indicating the homodimers have reduced transcriptional activity.
Mutants were co-expressed with wildtype GATA3 to assess their impact on GATA3 transcriptional activity (Fig. 2d). Co-expression of GATA3 with M401X further increased luciferase expression. Co-expression with M401VfsX106 significantly reduced luciferase expression, indicating a dominant negative effect on GATA3 function. This is consistent with co-expression with C321S, which also has a dominant negative effect. Comparing the transcriptional activity of M401X and M401VfsX106, the proband C-terminal elongation clearly alters GATA3 function.
Autoimmune disease-associated GATA3 mutant transcriptional activity
The autoimmune disease-associated HDR-causing mutants M401VfsX106 and H400HfsX107 are linked with JIA and type 1 diabetes. The respective nucleotide changes are c.1201_1202delAT and c.1200_1201delCA. Each mutation is a 2-nucleotide deletion that results in frame shift causing the same aberrant extended amino acid sequence (Fig. 3a). Both constructs were expressed in HeLa cells and have the same increased molecular weight as compared to GATA3 (Fig. 3b).
GATA3 function was measured by assessing the ability of mutant or wildtype protein to drive transcription of a GATA-luciferase reporter construct in HeLa cells. GATA3 stimulated a significant increase in luciferase expression in HeLa cells (Fig. 3c). Both M401VfsX106 and H400HfsX107 significantly decreased luciferase expression compared to GATA3, indicating the homodimers have reduced transcriptional activity (Fig. 3c). Constructs were co-expressed with wildtype GATA3 to assess the impact on GATA3 transcriptional activity. Both M401VfsX106 and H400HfsX107 result in significantly reduced luciferase expression, indicating both have a dominant negative effect on GATA3 function (Fig. 3d).
GATA3 ex vivo functional activity in T helper cell differentiation
PBMCs were stimulated to differentiate along Th0, Th1, Th2, or Th17 cell pathways. Effector cells were re-stimulated and levels of secreted effector cytokines determined. Cytokines for the respective cell types include Th1: IFNγ, Th2: IL-5 and IL-13, Th17: IL-17A, and Th0: IFNγ (Fig. 4). The proband was compared to his similarly aged sibling, which is essential for minimizing age-related effects on the immune system. There are two timepoints of PBMC collection shown for the proband, indicating that the identified abnormalities are persistent over time. The proband had increased production of effector cytokines from the Th1 and Th17 pathways. The proband had no increase in IL-5 and a decrease in IL-13 production for effector cytokines from the Th2 pathway. In the proband, an undifferentiated Th0 cell produced IFNγ, which is a characteristic Th1 cytokine (Fig. 4).
We present the first known case of autoimmune arthritis associated with a mutation in GATA3. The proband M401VfsX106 protein is expressed and has a dominant negative function on GATA3 transcriptional activity. The proband PBMCs have markedly increased differentiation along the Th1 and Th17 pathways, with decreased differentiation along the Th2 pathway. Unexpectedly, Th0 cells from the proband express high levels of IFNγ like that of effector Th1 cells, supporting the notion that GATA3 is a major repressor of the Th1 differentiation pathway in this age group of children.
GATA3 is a transcription factor that functions as a homodimer, with each monomer containing transactivation domains, zinc finger domains, and a poorly understood C-terminus. HDR is caused by loss of GATA3 function. Most HDR-causing mutants disrupt the zinc finger domains, which are important for binding DNA [12, 13]. The M401VfsX106 mutation does not disrupt the zinc fingers, making the mechanism of action less clear. Two similar HDR-causing mutants have been identified. One frameshift occurs at amino acid 407 and adds a 98 residue C-terminal extension. Experimental assessment of this construct found that a homodimer had reduced protein expression and undetectable DNA binding . The other frameshift occurs at amino acid 400 and adds a 107 residue extension (H400HfsX107) that is very similar to the proband, and this child developed type I diabetes . We performed in vitro functional studies on this mutant showing that it produces the same mutant GATA3 with a dominant negative effect as the proband. It is remarkable that two HDR patients with similar mutations in GATA3 both developed autoimmune disease, which suggests a shared mechanism.
Similar to other HDR patients, the proband has decreased GATA3 function. His autoimmune disease could be due to the M401VfsX106 dominant negative mechanism and/or changes in the C-terminus. In breast cancer, somatic mutations in GATA3 are common with roughly half the reported mutations resulting in a C-terminal frameshift with stop-loss and extension . A mechanism of aberrant epigenetic regulation in these mutations is supported by a frameshift at amino acid 409 that is selectively inhibited by specific histone methyltransferases  and a frameshift at amino acid 330 that results in decreased and increased expression of different genes . The role of the proband C-terminal extension in epigenetic regulation could be clarified by assessing C-terminal truncation mutants in a stable cell line or overexpression system.
Autoimmune diseases are associated with increased Th1 and Th17 activity and increased IFNγ, which are recapitulated in the proband’s ex vivo Th cell differentiation assays. During Th cell differentiation, epigenetic changes occur at key genomic loci. In studies of the IFNG locus, epigenetic changes including gain and loss of histone modifications and DNA methylation occur during Th cell differentiation along the Th0, Th1, and Th2 lineages . These epigenetic modifications are aberrant in the nonobese diabetic mouse model of insulin-dependent diabetes, resulting in Th0 cells that spontaneously express IFNγ [26,27,28]. Our proband has altered Th cell differentiation and produces Th0 cells that spontaneously secrete IFNγ, conceivably because of an aberrant epigenetic landscape. GATA3 is a key negative epigenetic regulator of Th1 differentiation  and loss of GATA3 may relieve this inhibition and allow IFNγ expression to proceed unopposed. Chromatin immunoprecipitation studies are ongoing to examine the epigenetic landscape at the IFNG locus to test this hypothesis.
JIA is divided into multiple subtypes . Children with psoriatic JIA comprise two subpopulations, an early onset form similar to ANA-positive oligoarticular and polyarticular JIA and a later onset form similar to adult psoriatic arthritis [31, 32]. The characteristics of the proband JIA including the age of diagnosis, polyarticular, and ANA positive suggest that this child is similar to the ANA-positive polyarticular JIA subtype. In children with oligoarticular and polyarticular JIA, synovial fluid was found to contain an increase in T cells with a Th1 phenotype compared to the peripheral blood . In enthesitis-related JIA, synovial fluid was found to contain an increase in Th1 and Th17 cells with a decrease in Th2 cells compared to the peripheral blood . These studies focus on synovial fluid; however, the results parallel the proband Th cell differentiation abnormalities and suggest the presence of this Th cell pattern in JIA.
GATA3 has been assessed as part of a deep whole genome sequencing study of children with polyarticular JIA . In this study, GATA3 contained no statistically significant enrichment of known single nucleotide polymorphisms (SNPs), novel SNPs, known insertions and deletions, and novel insertions and deletions . The function of GATA3, including expression level and genomic binding, has not been characterized in Th cells from children with JIA. Our study supports GATA3 function as a potential contributing factor for autoimmunity in JIA and provides a monogenetic mutation that can be used as a tool to better understand this process.
A limitation of our study is that we have identified a single HDR patient that developed JIA. We have approached this by assessing the proband at multiple timepoints and performing in vitro studies in additional HDR-causing mutations. The identification of a second HDR patient with autoimmune disease with a similar mutation in GATA3 further supports the connection between GATA3 and autoimmune disease. We have assessed in vitro GATA3 function in a luciferase expression system. An alternative would be to use chromatin binding to determine genomic GATA3 binding sites. These assays are complicated by GATA3 functioning as a dimer, with the clinically relevant cells likely expressing both mutant GATA3 and GATA3. Our approach has been to use proband PBMCs to perform ex vivo differentiation of Th cells and assess effector cytokine secretion. It is possible that other cell types and processes are altered by the mutant GATA3, and experiments assessing these cells would need to be performed. The Th cell is a relevant cell for JIA and autoimmune arthritis as supported by studies highlighted in this discussion.
Our study shows that decreased and altered GATA3 activity coincides with autoimmune arthritis and suggests that GATA3 function is important in JIA. Mice that overexpress GATA3 are protected from joint inflammation in a model of arthritis . Further, a therapeutic has been developed to target reduction of GATA3 for atopic disease . Similarly, a strategy to induce GATA3 may be a potential therapeutic approach for patients with autoimmune arthritis.
Our research expands the phenotypic spectrum for GATA3 mutations and presents a possible genetic cause for this patient’s arthritis. The presented data indicate the proband expresses mutant GATA3 with a dominant negative function on transcriptional activity. T cells are altered, with markedly enhanced differentiation along the Th1 and Th17 pathways and decreased differentiation along the Th2 pathway. These results provide new insight into GATA3 function and suggest that decreased or altered GATA3 activity coincides with autoimmune arthritis.
Availability of data and materials
The datasets supporting the conclusions of this article are included within the article. Please contact the corresponding author for data requests.
Enzyme-linked immunosorbent assay
GATA binding protein 3
Hypoparathyroidism, sensorineural deafness, and renal disease
Juvenile idiopathic arthritis
Peripheral blood mononuclear cells
Polymerase chain reaction
Whole exome sequencing
Ting CN, Olson MC, Barton KP, Leiden JM. Transcription factor GATA-3 is required for development of the T-cell lineage. Nature. 1996;384(6608):474–8.
Kanhere A, Hertweck A, Bhatia U, Gokmen MR, Perucha E, Jackson I, et al. T-bet and GATA3 orchestrate Th1 and Th2 differentiation through lineage-specific targeting of distal regulatory elements. Nat Commun. 2012;3:1268.
Zhu J, Yamane H, Paul WE. Differentiation of effector CD4 T cell populations (*). Annu Rev Immunol. 2010;28:445–89.
Raphael I, Nalawade S, Eagar TN, Forsthuber TG. T cell subsets and their signature cytokines in autoimmune and inflammatory diseases. Cytokine. 2015;74(1):5–17.
Cope AP, Schulze-Koops H, Aringer M. The central role of T cells in rheumatoid arthritis. Clin Exp Rheumatol. 2007;25(5 Suppl 46):S4–11.
Wedderburn LR, Robinson N, Patel A, Varsani H, Woo P. Selective recruitment of polarized T cells expressing CCR5 and CXCR3 to the inflamed joints of children with juvenile idiopathic arthritis. Arthritis Rheum. 2000;43(4):765–74.
Mahendra A, Misra R, Aggarwal A. Th1 and Th17 predominance in the enthesitis-related arthritis form of juvenile idiopathic arthritis. J Rheumatol. 2009;36(8):1730–6.
Chen Z, Andreev D, Oeser K, Krljanac B, Hueber A, Kleyer A, et al. Th2 and eosinophil responses suppress inflammatory arthritis. Nat Commun. 2016;7:11596.
Eyre S, Bowes J, Diogo D, Lee A, Barton A, Martin P, et al. High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis. Nat Genet. 2012;44(12):1336–40.
Van Esch H, Groenen P, Nesbit MA, Schuffenhauer S, Lichtner P, Vanderlinden G, et al. GATA3 haplo-insufficiency causes human HDR syndrome. Nature. 2000;406(6794):419–22.
Muroya K, Mochizuki T, Fukami M, Iso M, Fujita K, Itakura M, et al. Diabetes mellitus in a Japanese girl with HDR syndrome and GATA3 mutation. Endocr J. 2010;57(2):171–4.
Ali A, Christie PT, Grigorieva IV, Harding B, Van Esch H, Ahmed SF, et al. Functional characterization of GATA3 mutations causing the hypoparathyroidism-deafness-renal (HDR) dysplasia syndrome: insight into mechanisms of DNA binding by the GATA3 transcription factor. Hum Mol Genet. 2007;16(3):265–75.
Nesbit MA, Bowl MR, Harding B, Ali A, Ayala A, Crowe C, et al. Characterization of GATA3 mutations in the hypoparathyroidism, deafness, and renal dysplasia (HDR) syndrome. J Biol Chem. 2004;279(21):22624–34.
Ohta M, Eguchi-Ishimae M, Ohshima M, Iwabuki H, Takemoto K, Murao K, et al. Novel dominant-negative mutant of GATA3 in HDR syndrome. J Mol Med (Berl). 2011;89(1):43–50.
Skapenko A, Leipe J, Niesner U, Devriendt K, Beetz R, Radbruch A, et al. GATA-3 in human T cell helper type 2 development. J Exp Med. 2004;199(3):423–8.
Valencia CA, Husami A, Holle J, Johnson JA, Qian Y, Mathur A, et al. Clinical impact and cost-effectiveness of whole exome sequencing as a diagnostic tool: a pediatric center’s experience. Front Pediatr. 2015;3:67.
Hayeems RZ, Bhawra J, Tsiplova K, Meyn MS, Monfared N, Bowdin S, et al. Care and cost consequences of pediatric whole genome sequencing compared to chromosome microarray. Eur J Hum Genet. 2017;25(12):1303–12.
Tan TY, Dillon OJ, Stark Z, Schofield D, Alam K, Shrestha R, et al. Diagnostic impact and cost-effectiveness of whole-exome sequencing for ambulant children with suspected monogenic conditions. JAMA Pediatr. 2017;171(9):855–62.
Retterer K, Juusola J, Cho MT, Vitazka P, Millan F, Gibellini F, et al. Clinical application of whole-exome sequencing across clinical indications. Genet Med. 2016;18(7):696–704.
Collavin L, Gostissa M, Avolio F, Secco P, Ronchi A, Santoro C, et al. Modification of the erythroid transcription factor GATA-1 by SUMO-1. Proc Natl Acad Sci U S A. 2004;101(24):8870–5.
Ko LJ, Yamamoto M, Leonard MW, George KM, Ting P, Engel JD. Murine and human T-lymphocyte GATA-3 factors mediate transcription through a cis-regulatory element within the human T-cell receptor delta gene enhancer. Mol Cell Biol. 1991;11(5):2778–84.
Spurlock CF 3rd, Tossberg JT, Guo Y, Collier SP, Crooke PS 3rd, Aune TM. Expression and functions of long noncoding RNAs during human T helper cell differentiation. Nat Commun. 2015;6:6932.
Takaku M, Grimm SA, Wade PA. GATA3 in breast cancer: tumor suppressor or oncogene? Gene Expr. 2015;16(4):163–8.
Mair B, Konopka T, Kerzendorfer C, Sleiman K, Salic S, Serra V, et al. Gain- and loss-of-function mutations in the breast cancer gene GATA3 result in differential drug sensitivity. PLoS Genet. 2016;12(9):e1006279.
Takaku M, Grimm SA, Roberts JD, Chrysovergis K, Bennett BD, Myers P, et al. GATA3 zinc finger 2 mutations reprogram the breast cancer transcriptional network. Nat Commun. 2018;9(1):1059.
Aune TM, Collins PL, Collier SP, Henderson MA, Chang S. Epigenetic activation and silencing of the gene that encodes IFN-gamma. Front Immunol. 2013;4:112.
Zhou W, Zhang F, Aune TM. Either IL-2 or IL-12 is sufficient to direct Th1 differentiation by nonobese diabetic T cells. J Immunol. 2003;170(2):735–40.
Chang S, Collins PL, Aune TM. T-bet dependent removal of Sin3A-histone deacetylase complexes at the Ifng locus drives Th1 differentiation. J Immunol. 2008;181(12):8372–81.
Chang S, Aune TM. Dynamic changes in histone-methylation ‘marks’ across the locus encoding interferon-gamma during the differentiation of T helper type 2 cells. Nat Immunol. 2007;8(7):723–31.
Prakken B, Albani S, Martini A. Juvenile idiopathic arthritis. Lancet. 2011;377(9783):2138–49.
Stoll ML, Nigrovic PA, Gotte AC, Punaro M. Clinical comparison of early-onset psoriatic and non-psoriatic oligoarticular juvenile idiopathic arthritis. Clin Exp Rheumatol. 2011;29(3):582–8.
Ravelli A, Consolaro A, Schiappapietra B, Martini A. The conundrum of juvenile psoriatic arthritis. Clin Exp Rheumatol. 2015;33(5 Suppl 93):S40–3.
Wong L, Jiang K, Chen Y, Jarvis JN. Genetic insights into juvenile idiopathic arthritis derived from deep whole genome sequencing. Sci Rep. 2017;7(1):2657.
van Hamburg JP, Mus AM, de Bruijn MJ, de Vogel L, Boon L, Cornelissen F, et al. GATA-3 protects against severe joint inflammation and bone erosion and reduces differentiation of Th17 cells during experimental arthritis. Arthritis Rheum. 2009;60(3):750–9.
Krug N, Hohlfeld JM, Kirsten AM, Kornmann O, Beeh KM, Kappeler D, et al. Allergen-induced asthmatic responses modified by a GATA3-specific DNAzyme. N Engl J Med. 2015;372(21):1987–95.
We thank Manda Mitchell in the Division of Pediatric Rheumatology, Department of Pediatrics, Vanderbilt University Medical Center, for the research support.
This work was supported by grants from the National Institute of Allergy and Infectious Disease (R01 AI044924) and the National Institute of General Medical Sciences (T32 GM007569) of the National Institutes of Health and the Childhood Arthritis and Rheumatology Research Alliance (CARRA)—Arthritis Foundation.
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The research was approved by the Vanderbilt Institutional Review Board, and all human participants gave written informed consent.
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Written informed consent was obtained from all human participants for the publication of this case report.
WW is an employee of GeneDx, Inc., a wholly owned subsidiary of OPKO Health, Inc. The remaining authors declare that they have no competing interests.
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Figure S1. Autoimmune arthritis in the proband. a The pedigree for HDR disease, proband clinical diagnoses, and criteria met for psoriatic juvenile idiopathic arthritis (JIA). b The proband clinical course from diagnosis of psoriatic JIA at time 0 to 17 months post diagnosis. Absolute CD3+, CD8+, CD19+, and CD16&56+ cells per μL values are shown. Normal lab values are denoted as shaded areas. c The functional transactivation (TA) and zinc finger (ZF) domains of GATA3 aligned to wild type and the proband c.1201_1202delAT. The amino acids in the C-terminus in wild type versus the proband C-terminal extension are shown. Table S1. The proband has no clinical immunodeficiency. He has normal serum immunoglobulin levels and an appropriate response to childhood immunizations. (DOCX 251 kb)
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Cite this article
Patrick, A.E., Wang, W., Brokamp, E. et al. Juvenile idiopathic arthritis associated with a mutation in GATA3. Arthritis Res Ther 21, 156 (2019). https://doi.org/10.1186/s13075-019-1946-3
- Autoimmune arthritis
- Juvenile idiopathic arthritis
- T cell