The Minor Allele of rs7574865 in the STAT4 Gene Is Associated with Increased mRNA and Protein Expression

STAT4 gene polymorphism may be associated with microscopic polyangiitis susceptibility in a Chinese Guangxi population: A case-control analysis based on propensity score matching

BACKGROUND

Microscopic polyangiitis (MPA) is a severe multisystem autoimmune disease featured by small-vessel vasculitis with few or no immune complex, also has a significant genetic predisposition. Growing evidence has confirmed that STAT4 gene is tightly associated with multiple autoimmune diseases, but its contribution to MPA onset is still elusive.

OBJECTIVE

The aim was to investigated the association between STAT4 gene polymorphisms (rs7572482, rs7574865 and rs12991409) and MPA susceptibility in a Guangxi population of China.

METHODS

260 MPA patients and 295 healthy adult volunteers were selected, 1:1 propensity score matching (PSM) was performed to control potential confounding variables, then 199 MPA patients and 199 healthy adult volunteers matched in gender, ethnicity and age were included in this study. High-throughput sequencing and multiplex PCR were applied to detect the target STAT4 SNPs. SHEsis and SNPstats were used to evaluated the allele frequency, genotype frequency, linkage disequilibrium (LD), haplotype, and the association between SNPs and the MPA susceptibility in multiple genetic models. SNP-SNP interactions were explored based on generalized multifactor dimensionality reduction (GMDR) algorithm. Some clinical indicators, such as renal pathology and therapeutic effects, were collected and compared.

RESULTS

The allele and genotype frequencies of rs7574865 displayed significant diversities between case group and control group (p < 0.05). Strong LD was found between rs7572482 and rs12991409 (D'=0.9). The haplotype GGT was related to a reduced risk of MPA (OR = 0.661, 95 %CI: 0.469-0.931, p = 0.017), and haplotype GTT might perform an increased risk of MPA (OR = 1.922, 95 %CI: 1.225-3.015, p = 0.004). Rs7574865 polymorphism was associated with an increased risk of MPA in codominant model (OR:2.03; p = 0.0093), dominant model (OR: 1.88p = 0.0023), and overdominant model (OR:1.57; p = 0.027). In Han and male subgroups, rs7574865 polymorphism dramatically increased the MPA risk. GMDR suggested that STAT4 rs7574865 and PTPN22 rs3811021 composed the most risk combinations (p = 0.0010). Moreover, renal pathology, Birmingham vasculitis activity score (BVAS), and alanine aminotransferase (ALT) might be linked with STAT4 gene polymorphisms (p < 0.05).

CONCLUSIONS

The genetic polymorphism of STAT4 may be associated with MPA susceptibility and renal pathological classification in Chinese Guangxi population; the T allele of rs7574865 may be an important risk factor for MPA.

Signal Transducer and Activator of Transcription 4 (STAT4) Association with Pituitary Adenoma

Background/Objectives: This study aims to investigate whether Signal Transducer and Activator of Transcription 4 (STAT4) influences the anti-tumor immune response and is possibly involved in the initiation or relapse of pituitary adenomas (PAs) by examining STAT4 polymorphisms and serum levels. This research seeks to uncover potential connections that could inform future therapeutic strategies and improve our understanding of PA pathogenesis. Materials and Methods: This study was conducted at the Laboratory of Ophthalmology, Lithuanian University of Health Sciences. DNA was extracted from peripheral venous blood samples, and the genotyping of four STAT4 SNPs (rs7574865, rs10181656, rs7601754, and rs10168266) was performed using real-time PCR with TaqMan® Genotyping assays. The serum STAT4 levels were measured via ELISA, and the optical density was read at 450 nm. Genotype frequencies, allele distributions, and serum STAT4 levels were statistically analyzed to assess associations with pituitary adenoma occurrence. Results: A binary logistic regression revealed that the STAT4 rs7574865 GT + GG genotypes vs. TT were associated with 1.7-fold increased odds of PA occurrence under the dominant genetic model (p = 0.012). The stratification by gender showed no significant associations in females; however, in males, the STAT4 rs10168266 CC + CT genotypes compared to TT were linked to 2.5-fold increased odds of PA under the dominant genetic model (p = 0.005). STAT4 rs10181656, rs7574865, rs7601754, and rs10168266 were analyzed to evaluate the associations with the pituitary adenoma size. We found that the STAT4 rs7574865 GG genotype was statistically significantly less frequent in the macro PA group compared to in the reference group (p = 0.012). For PA relapse, the rs7574865 G allele was less frequent in the PA group without relapse (p = 0.012), and the GT + GG genotypes were associated with a 1.8-fold increase in the PA group without relapse occurrence (p = 0.008). The serum STAT4 levels were higher in the PA patients compared to those of the reference group (p < 0.001). Elevated STAT4 serum levels were observed in PA patients with the STAT4 rs10181656 CC or CG genotypes (CC: p = 0.004; CG: p = 0.023), and with the rs7574865 GG or GT genotypes (GG: p = 0.003; GT: p = 0.021). The PA patients with the STAT4 rs7601754 AA genotype exhibited higher serum levels compared to those of the reference group (p < 0.001). Similarly, higher serum levels were found in the PA patients with the STAT4 rs10168266 CC or CT genotypes (CC: p = 0.004; CT: p = 0.027). A haplotype frequency analysis revealed no statistically significant results. Conclusions: The STAT4 genotypes were significantly associated with the PA occurrence, size, and relapse. Elevated serum STAT4 levels were observed in the PA patients, highlighting its potential role in PA pathogenesis.

STAT4 gene polymorphisms in human diseases

Signal transducer and activator of transcription 4 (STAT4) is a member of the STAT family, which is a group of transcription factors that regulate cytokine signaling. Genetic polymorphisms in STAT4 strongly influence immune responses and disease outcomes, especially in cancer and autoimmune diseases. Several studies have indicated that certain STAT4 gene variants are associated with alterations in STAT4 expression and/or activity and that there is a close relationship between STAT4 polymorphisms and drug efficacy. However, the underlying mechanisms are complex, and the roles of these polymorphisms in disease acquisition, progression, and severity are of widespread concern. Therefore, we provide an overview of the clinical significance of polymorphisms in STAT4 and the mechanisms by which these STAT4 variants are involved in various diseases.

Association between STAT4 gene polymorphism and susceptibility to pulmonary tuberculosis in the Moldavian population

Signal transducer and activator of transcription 4 (STAT4) plays a crucial role in the host immune response against Mycobacterium tuberculosis. This study investigates the association between STAT4 gene polymorphisms and pulmonary tuberculosis (TB) risk in the Moldavian population. A total of 272 TB patients and 251 community-matched controls underwent screening for functional single-nucleotide polymorphisms (SNPs) rs897200 and rs7574865 in the STAT4 gene. The minor T allele and the TT/CT genotype of rs897200 demonstrated a significant association with reduced pulmonary TB risk (allelic model: adjusted OR = .74, p = .025; log-additive model: adjusted OR = .72, p = .02; and dominant model: adjusted OR = .65, p = .023), indicating a protective effect. Similar associations, characterized by an even more pronounced reduction in risk, were observed among females and late-onset TB patients (>44 years). No significant associations were found for rs7574865. In addition, a combined genotype analysis incorporating 43 SNPs from our previous studies revealed potential associations, such as STAT4 rs897200 CT with IFNG rs2430561 AA (adjusted OR = .36, p = .0025) and STAT4 rs897200 CT with TNFA rs1800629 GA (adjusted OR = .33, p = .0012). This study emphasizes the significant association of STAT4 rs897200 with pulmonary TB risk in the Moldavian population, underscoring its role in the disease development.

STAT4 Gene Variant rs7574865 Is Associated with Rheumatoid Arthritis Activity and Anti-CCP Levels in the Western but Not in the Southern Population of Mexico

Rheumatoid Arthritis (RA) is a multifactorial autoimmune disease. Currently, several genes play an important role in the development of the disease. The objective was to evaluate the association of the STAT4 rs7574865 and rs897200 gene variants with RA susceptibility, DAS28, RF, and anti-CCP in Western and Southern Mexico populations. Genotyping was performed on 476 samples (cases = 240; controls = 236) using the Taqman® system and qPCR probes. Disease activity was assessed using DAS28 and HAQ DI. CRP, ESR, RF, and anti-CCP were determined for clinical assessment. Our study showed there is a statistically significant association with susceptibility to RA for the rs7574865 variant in the Western population for the GT and TT genotypes. The same genotypes also showed a moderate-to-high activity according to DAS28 and positive anti-CCP compared to the control group. This association was not found in the Southern population. This work confirms the association of the rs7574865 variant with RA, as well as a moderate-to-high activity and positive anti-CCP in the Western population but not in the Southern population. No association of the rs897200 variant was found in any of the studied populations.

SNP in PTPN22, PADI4, and STAT4 but Not TRAF1 and CD40 Increase the Risk of Rheumatoid Arthritis in Polish Population

Single nucleotide polymorphisms in non-HLA genes are involved in the development of rheumatoid arthritis (RA). SNPS in genes: PADI4 (rs2240340), STAT4 (rs7574865), CD40 (rs4810485), PTPN22 (rs2476601), and TRAF1 (rs3761847) have been described as risk factors for the development of autoimmune diseases, including RA. This study aimed to assess the prevalence of polymorphisms of these genes in the Polish population of patients with rheumatoid arthritis as compared to healthy controls. 324 subjects were included in the study: 153 healthy subjects and 181 patients from the Department of Rheumatology, Medical University of Lodz who fulfilled the criteria of rheumatoid arthritis diagnosis. Genotypes were determined by Taqman SNP Genotyping Assay. rs2476601 (G/A, OR = 2.16, CI = 1.27-3.66; A/A, OR = 10.35, CI = 1.27-84.21), rs2240340 (C/T, OR = 4.35, CI = 2.55-7.42; T/T, OR = 2.80, CI = 1.43-4.10) and rs7574865 (G/T, OR = 1.97, CI = 1.21-3.21; T/T, OR = 3.33, CI = 1.01-11.02) were associated with RA in the Polish population. Rs4810485 was also associated with RA, however after Bonferroni's correction was statistically insignificant. We also found an association between minor alleles of rs2476601, rs2240340, and rs7574865 and RA (OR = 2.32, CI = 1.47-3.66; OR = 2.335, CI = 1.64-3.31; OR = 1.88, CI = 1.27-2.79, respectively). Multilocus analysis revealed an association between CGGGT and rare (below 0.02 frequency) haplotypes (OR = 12.28, CI = 2.65-56.91; OR = 3.23, CI = 1.63-6.39). In the Polish population, polymorphisms of the PADI4, PTPN22, and STAT4 genes have been detected, which are also known risk factors for RA in various other populations.

Impact of TRAF3IP2, IL10 and HCP5 Genetic Polymorphisms in the Response to TNF-i Treatment in Patients with Psoriatic Arthritis

Psoriatic arthritis (PsA) is a chronic inflammatory rheumatic disease. The introduction of therapy with biological drugs is promising, even if the efficacy is very variable. Since the response to drugs is a complex trait, identifying genetic factors associated to treatment response could help define new biomarkers for a more effective and personalized therapy. This study aimed to evaluate the potential role of polymorphisms in genes involved in PsA susceptibility as predictors of therapy efficacy. Nine polymorphisms were analyzed in a cohort of 163 PsA patients treated with TNF-i. To evaluate the treatment response, the DAPsA score was estimated for each patient. The possible association between the selected SNPs and mean values of DAPsA differences, at 22 and 54 weeks from the beginning of the treatment, were evaluated by t-test. Patients carrying the variant allele of TRAF3IP2 seemed to respond better to treatment, both at 22 and 54 weeks. This variant allele was also associated with an improvement in joint involvement. In contrast, patients carrying the IL10 variant allele showed an improvement lower than patients with the wild-type genotype at 54 weeks. Our results suggest that polymorphisms in genes associated with PsA susceptibility could also play a role in TNF-i treatment response.

Frequency distribution of cytokine and associated transcription factor single nucleotide polymorphisms in Zimbabweans: Impact on schistosome infection and cytokine levels

Cytokines mediate T-helper (TH) responses that are crucial for determining the course of infection and disease. The expression of cytokines is regulated by transcription factors (TFs). Here we present the frequencies of single nucleotide polymorphisms (SNPs) in cytokine and TF genes in a Zimbabwean population, and further relate SNPs to susceptibility to schistosomiasis and cytokine levels. Individuals (N = 850) were genotyped for SNPs across the cytokines IL4, IL10, IL13, IL33, and IFNG, and their TFs STAT4, STAT5A/B, STAT6, GATA3, FOXP3, and TBX21 to determine allele frequencies. Circulatory levels of systemic and parasite-specific IL-4, IL-5, IL-10, IL-13, and IFNγ were quantified via enzyme-linked immunosorbent assay. Schistosoma haematobium infection was determined by enumerating parasite eggs excreted in urine by microscopy. SNP allele frequencies were related to infection status by case-control analysis and logistic regression, and egg burdens and systemic and parasite-specific cytokine levels by analysis of variance and linear regression. Novel findings were i) IL4 rs2070874*T's association with protection from schistosomiasis, as carriage of ≥1 allele gave an odds ratio of infection of 0.597 (95% CIs, 0.421-0.848, p = 0.0021) and IFNG rs2069727*G's association with susceptibility to schistosomiasis as carriage of ≥1 allele gave an odds ratio of infection of 1.692 (1.229-2.33, p = 0.0013). Neither IL4 rs2070874*T nor IFNG rs2069727*G were significantly associated with cytokine levels. This study found TH2-upregulating SNPs were more frequent among the Zimbabwean sample compared to African and European populations, highlighting the value of immunogenetic studies of African populations in the context of infectious diseases and other conditions, including allergic and atopic disease. In addition, the identification of novel infection-associated alleles in both TH1- and TH2-associated genes highlights the role of both in regulating and controlling responses to Schistosoma.

Regional heritability mapping identifies several novel loci (STAT4, ULK4, and KCNH5) for primary biliary cholangitis in the Japanese population

While the advent of GWAS more than a decade ago has ushered in remarkable advances in our understanding of complex traits, the limitations of single-SNP analysis have also led to the development of several other approaches. Simulation studies have shown that the regional heritability mapping (RHM) method, which makes use of multiple adjacent SNPs jointly to estimate the genetic effect of a given region of the genome, generally has higher detection power than single-SNP GWAS. However, thus far its use has been mostly limited to agricultural settings, and its potential for the discovery of new genes in human diseases is yet to be fully exploited. In this study, by applying the RHM method to primary biliary cholangitis (PBC) in the Japanese population, we identified three novel loci (STAT4, ULK4, and KCNH5) at the genome-wide significance level, two of which (ULK4 and KCNH5) have not been found associated with PBC in any population previously. Notably, these genes could not be detected by using conventional single-SNP GWAS, highlighting the potential of the RHM method for the detection of new susceptibility loci in human diseases. These findings thereby provide strong empirical evidence that RHM is an effective and practical complementary approach to GWAS in this context. Also, liver tissue mRNA microarray analysis revealed higher gene expression levels in ULK4 in PBC patients (P < 0.01). Lastly, we estimated the common SNP heritability of PBC in the Japanese population (0.210 ± 0.026).

Disease Activity Indices in Rheumatoid Arthritis: Comparative Performance to Detect Changes in Function, IL-6 Levels, and Radiographic Progression

Objective: To compare the capacity of various disease activity indices to evaluate changes in function, IL-6 levels, and radiographic progression in early and established rheumatoid arthritis (RA). Methods: Secondary data analysis of a clinical trial assessing the efficacy of tocilizumab in patients with established RA (ACT-RAY) and a longitudinal prospective register of early arthritis (PEARL). Targeted outcomes were changes in physical function, measured with the health assessment questionnaire (HAQ), IL-6 serum levels, and radiographic progression. The "Hospital Universitario La Princesa Index" (HUPI), DAS28 using erythrocyte sedimentation rate and SDAI were the disease activity indices compared. Models adjusted for age and sex were fitted for each outcome and index and ranked based on the R ² parameter and the quasi-likelihood under the independence model criterion. Results: Data from 8,090 visits (550 patients) from ACT-RAY and 775 visits (534 patients) from PEARL were analyzed. The best performing models for HAQ were the HUPI (R ² = 0.351) and SDAI ones (R ² = 0.329). For serum IL-6 levels, the SDAI (R ² = 0.208) followed by the HUPI model (R ² = 0.205). For radiographic progression in ACT-RAY, the HUPI (R ² = 0.034) and the DAS28 models (R ² = 0.026) performed best whereas the DAS28 (R ² = 0.030) and HUPI models (R ² = 0.023) did so in PEARL. Conclusions: HUPI outperformed other indices identifying changes in HAQ and radiographic progression and performed similarly to SDAI for IL-6 serum levels.

Genetic Factors of Predisposition and Clinical Characteristics of Rheumatoid Arthritis in Russian Patients

Rheumatoid arthritis (RA) is a multifactorial disease caused by a genetic predisposition and environmental factors. Predisposing alleles of various genes have a relatively small influence on the disease risk when they appear separately, but in combination, they predispose an individual to RA development. We genotyped 125 patients with RA including 60 SNPs and sequenced coding part of six genes by next-generation sequencing (NGS) technology on a target panel (IAD177464_185). According to our data, the alleles HLA-DRB1*04, HLA-DRB1*01, HLA-B*27, PTPN22 (rs2476601), TNF (rs1800629), TPMT (rs2842934), and IL4 (rs2243250), and genotypes HLA-DRB1*04:04, HLA-DRB1*01:16, PTPN22 (rs2476601), TPMT (rs2842934), were significantly associated with the RA development. Associations with clinical criteria (DAS28-CRP, HAQ-DI, and CDAI) and biochemical factors were investigated. We have shown that the PADI4 genotypes (rs11203367, rs2240340, rs11203366, and rs874881) are significantly associated with the baseline levels of DAS28-CRP, HAQ-DI, and CDAI; genotypes IL23R (rs7530511) and TNFRSF1A (rs748004, rs2228144) with the level of anti citrullinated peptide antibodies (ACPA); the genotypes DHODH (rs3213422) and MTHFR (rs180113) with the concentration of C-reactive protein (CRP); and the genotypes IL2RA (rs2104286), IRAK3 (rs11541076), and IL4R (rs1801275) with the level of rheumatoid factor (RF). Application of targeted NGS panel contributes to expanded genotyping to identify risk groups among the RA patients.

Investigation of the relationship between CTLA4 and the tumor suppressor RASSF1A and the possible mediating role of STAT4 in a cohort of Egyptian patients infected with hepatitis C virus with and without hepatocellular carcinoma

The Ras association domain family 1 isoform A (RASSF1A), cytotoxic T lymphocyte antigen 4 (CTLA-4), and signal transducer and activator of transcription 4 (STAT4) genes play a role in regulating the cell cycle, apoptosis, and the autoimmune response against cancer. We investigated the genotype frequency and the possible association of the rs2073498 (RASSF1A), rs5742909 (CTLA-4) and rs7574865 (STAT4) genetic variants with hepatitis C virus (HCV)-G4-mediated hepatocellular carcinoma (HCC) progression in Egyptian patients. Fifty patients with HCV infection, 50 patients with HCV-mediated HCC, and 50 age- and sex-matched healthy controls were recruited. The investigated variants were genotyped based on polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). The Ser133 mutant G4 variant of the rs2073498 SNP in RASSF1A exhibited a positive correlation with HCC incidence risk (OR = 0.571, 95% CI = 0.175-1.865, P < 0.001). The rs7574865 variant in STAT4 (G/T) occurred frequently in both HCV groups, with a significant incidence risk (OR = 1.583, 95% CI = 1.123-2.232, P = 0.005). The rs5742909 change in CTLA4 (C/T) did not show a significant difference between HCV-mediated HCC cases and the control group (OR = 4.5, 95% CI = 1.326-15.277, P > 0.001). Activation of the immune checkpoint gene CTLA4 or polymorphism in the encoded CTLA4 protein causes phosphorylation of kinases needed for RAS gene activation. This in turn downregulates the tumor suppressor RASSF1, inhibiting apoptosis and leading to HCC development, indicating a negative impact of CTLA4 gene polymorphism on HCV-mediated HCC cases. A major determinant of disease progression could be immune system genetic variants, together with the presence of costimulatory factors. The rs2073498 and rs7574865 variations in the RASSF1A and STAT4 genes, respectively, could be genetic susceptibility factors for Egyptian patients with HCV-mediated HCC.

The STAT4 and not the IFNL3 variant is associated with hepatitis B virus clearance in a population from the Khyber Pakhtunkhwa region of Pakistan

BACKGROUND AND STUDY AIMS

Host genetic modifiers of the risk and persistence of hepatitis B virus (HBV) infection in the Pakistani population have not been clearly elucidated. Recently, two genome-wide association studies described that STAT4 and IFNL3 variants are associated with different aspects of the course of HBV infection. However, the roles of these variants in the persistence of HBV infection have not been investigated in the HBV-infected population of Pakistan. Therefore, we examined the roles of the STAT4 and IFNL3 variants in a chronic HBV-infected population from the Khyber Pakhtunkhwa (KPK) region of Pakistan.

PATIENTS AND METHODS

STAT4 rs7574865 and IFNL3 rs12979860 genotyping were performed in 297 subjects (240 infected with HBV and 57 controls). Statistical analyses were performed using the chi-squared test, Student's t-test, Hardy-Weinberg equilibrium tests and logistic regression models.

RESULTS

Among the 297 subjects, compared with the IFNL3 rs12979860 genotype [odds ratio (OR) = 0.7, 95% confidence interval (CI) = 0.39-1.29, p = 0.2), the STAT4 rs7574865 genotype was independently associated with the risk of developing chronic HBV infection [OR = 1.9, 95% CI = 1.09-3.50, p = 0.02].

CONCLUSION

The STAT4 rs7574865 and not the IFNL3 rs12979860 variant is associated with persistence of HBV infection in a Pakistani population from the KPK region.

STAT4 sequence variant and elevated gene expression are associated with type 1 diabetes in Polish children

Introduction

Type 1 diabetes (T1D) is caused by the autoimmune destruction of pancreatic β cells, resulting from coincident genetic predisposition and some environmental triggers. Signal transducer and activator of transcription 4 (STAT4) gene encodes a transcription factor, which promotes Th1 cell differentiation, interferon γ production, and development of Th17 cells. Polymorphisms of STAT4 are associated with several autoimmune conditions, while studies in T1D provided inconsistent results. This analysis was designed to investigate the association of STAT4 rs7574865 with T1D in Polish children and to assess STAT4 expression in newly diagnosed subjects.

Material and methods

Rs7574865 was genotyped in 656 T1D children and 782 healthy individuals. STAT4 mRNA expression was analyzed in peripheral blood mononuclear cells (PBMCs) from 29 children with T1D and 27 age-matched controls. β-cell and thyroid-specific serum autoantibodies were assessed with radioimmunoassays.

Results

The distribution of rs7574865 genotypes and alleles demonstrated significant difference (p = 0.002, p < 0.001, respectively) between patients vs. controls. Carriers of the minor T allele presented earlier T1D onset (p = 0.017). No differences were found in γ-cell autoantibody in genotype-stratified patients (p > 0.050), while anti-thyroid antibodies were more frequent in carriers of the minor allele(p = 0.039 for anti-thyroperoxidase, p = 0.007 for anti-thyroglobulin antibodies, respectively). STAT4 was overexpressed in PBMCs from T1D patients (p = 0.008), especially subjects with two/three circulating β-cell antibodies (p < 0.001).

Conclusions

The study confirms an association of STAT4 rs7574865 with T1D in Polish patients, and provides an evidence for its relationship with an earlier disease onset and concomitant thyroid autoimmunity. STAT4 expression appears elevated in T1D, especially with more severe reaction against β-cell antigens.

STAT4, TRAF3IP2, IL10, and HCP5 Polymorphisms in Sjögren's Syndrome: Association with Disease Susceptibility and Clinical Aspects

Sjögren's syndrome (SS) is a chronic autoimmune condition characterized by autoantibody production, sicca syndrome, and periepithelial lymphocytic lesions in target tissues. A predisposing genetic background is likely, and, to date, several polymorphisms in non-HLA genes have been explored with interesting results. We investigated the association between the STAT4, TRAF3IP2, HCP5, and IL10 polymorphisms and SS susceptibility and their possible role in the modulation of clinical and laboratory features. 195 consecutive patients with SS were enrolled and clinical and laboratory data were collected. 248 age- and sex-matched healthy subjects were used as controls. Genotyping was performed by allelic discrimination assays. A case-control association study and a phenotype-genotype correlation analysis were performed. A genetic risk profile was developed considering the risk alleles. Both the variant alleles of rs7574865 in the STAT4 gene and rs3099844 in the HCP5 gene were significantly more prevalent in patients than in controls (OR = 1.91 and OR = 2.44, respectively). The variant allele of rs3024505 of IL10 resulted to be a susceptibility allele (OR = 1.52), while the variant allele of rs1800872 seemed to confer a protective effect for the development of the disease (OR = 0.65). A risk genetic profile showed a higher probability to develop the disease in subjects with at least three risk alleles; subjects with 4 risk alleles were not observed in the controls. HCP5 rs3099844 was associated with anti-SSA (P = 0.006, OR = 3.07) and anti-SSB (P = 0.005, OR = 2.66) antibodies, severity of focus score (P = 0.03, OR = 12), and lymphoma development (P = 0.002, OR = 7.23). Patients carrying the STAT4 rs7574965 variant allele had a higher risk of monoclonal component and leukopenia (P = 0.002, OR = 7.6; P = 0.048, OR = 2.01, respectively). We confirmed the association of SS with the STAT4 and IL10 genes and we describe a novel association with HCP5. In particular, we describe an association of this specific SNP of HCP5 not only with disease development but also with autoantibody production and focus score suggesting a potential contribution of this variant to a more severe phenotype.

SLE-associated risk factors affect DC function

PURPOSE OF REVIEW

Identification of function and potential pathogenic mechanisms of SLE risk genes in dendritic cells.

RECENT FINDINGS

Functional studies of individual SLE risk factors in dendritic cells were performed, and functional alterations of some risk genes in dendritic cells were observed. Recent studies confirmed the pathogenic function of known risk genes. These findings postulate novel pathogenic mechanisms made by dendritic cells. SLE is a complex disease and its etiology is not clearly understood. Dendritic cells are innate immune cells and critical for determining immune activation and immune tolerance. Genetic studies identified several new candidate genes which predispose to development of autoimmune diseases, but the mechanism of those genes has not been identified. This report updates functional implications or pathways in dendritic cells which are putatively important for the development or propagation of SLE based on genetic and functional studies performed in both human and animal models.

Polymorphisms in the STAT4 gene and tuberculosis susceptibility in a Chinese Han population

The signal transducer and activator of transcription 4 (STAT4) gene encodes a transcription factor that transmits signals induced by several cytokines which play critical roles in the development of autoimmune and chronic inflammatory diseases. We performed an association study between STAT4 single nucleotide polymorphisms (SNPs) and tuberculosis (TB). 624 TB cases and 598 healthy controls were studied to compare allele/genotype frequencies of 4 SNPs in STAT4. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression. Genotyping was performed with the Sequenom MassARRAY SNP genotyping platform. Out of 4 SNPs tested in the study, rs4853542 allele A showed a 25% decreased risk of TB compared with allele G (P = 0.013, OR = 0.75, 95%CI: 0.60-0.94). However, it did not show significant differences under any genetic model after Bonferroni correction. No association was found for the other 3 SNPs with TB. In subgroup analyses, the protective effects of rs485342 allele A were stronger among younger subjects <25 years (P = 0.002, OR = 0.49, 95%CI: 0.31-0.76). Allele A of the rs4853542 polymorphism in STAT4 is not associated with TB susceptibility, but we demonstrated that rs4853542A allele decreased risk of TB in younger adults after Bonferroni correction.

The Association Between STAT4 rs7574865 Polymorphism and the Susceptibility of Autoimmune Thyroid Disease: A Meta-Analysis

Objectives: The signal transducer and activator of transcription 4 (STAT4) gene encodes an important transcription factor that transmits signals induced by several cytokines associated with autoimmune diseases and has been identified as a susceptibility gene for numerous autoimmune disorders. The association between STAT4 rs7574865 polymorphism and the susceptibility of autoimmune thyroid disease (AITD) has been investigated in previous case-control studies. However, the investigation results were inconsistent. Hence, a meta-analysis was performed to draw a more reliable conclusion about it.

Methods: All relevant studies were searched in Embase, PubMed, Web of Science, and China National Knowledge Infrastructure, till August 20, 2018. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of the association.

Results: A total of five independent case-control studies with 1707 AITD patients and 2316 controls were included in the present meta-analysis. The overall pooled analysis indicated that STAT4 rs7574865 polymorphism was significantly associated with AITD susceptibility [TT vs. GG: OR = 1.63, 95%CI = 1.24–2.15, P_Z = 0.0005; TT vs. (TG+GG): OR = 1.55, 95%CI = 1.26–1.91, P_Z < 0.0001]. However, the subgroup analysis showed a significant association of STAT4 rs7574865 polymorphism with AITD susceptibility in Asian population, but not in African population. STAT4 rs7574865 polymorphism was significantly associated both with Graves’ disease (GD) and Hashimoto’s thyroiditis (HT) susceptibility.

Conclusion: This meta-analysis showed a significant association between STAT4 rs7574865 polymorphism and AITD susceptibility. However, further studies with larger sample sizes and other ethnicities are still required to confirm the findings.

Association Between STAT4 rs7574865 Polymorphism and Rheumatoid Arthritis: Debate Unresolved

Background:

STAT4 rs7574865 polymorphism has been evidently associated with susceptibility to Rheumatoid Arthritis (RA) in European and Eastern Asian populations, whereas studies in other countries reported otherwise.

Objective:

We investigated the distribution of STAT4 rs7574865 polymorphism in a group of Syrian RA patients.

Methods:

Eighty-one RA patients and forty healthy controls were enrolled and STAT4 rs7574865 was genotyped by direct sequencing. RA patients were stratified according to Anti-Citrullinated Protein Antibodies (ACPA) status for analysis.

Results:

Minor T allele frequencies were 30.4%, 16.7%, and 23.8% in ACPA-positive RA patients, ACPA-negative RA patients, and healthy controls, respectively. No significant differences in STAT4 rs7574865 allele/genotype frequencies were found between ACPA-positive RA patients, ACPA-negative RA patients, and healthy controls (P>0.05).

Conclusion:

STAT4 rs7574865 TT genotype showed a potential impact on ACPA positivity in Syrian RA patients. However, STAT4 rs7574865 effect on RA onset and severity is minor compared to other genetic factors such as HLA-DRB1 shared epitope alleles.

Editorial: STAT-4 polymorphism - a tool to personalise clinical practice in chronic HBV infection. Authors' reply

Linked Content

This article is linked to El Sharkawy et al and Bonacci and Lens papers. To view these articles visit https://doi.org/10.1111/apt.14866 and https://doi.org/10.1111/apt.14924.

Polymorphisms of the STAT4 gene in the pathogenesis of tuberculosis

The signal transducer and activator of transcription 4 (STAT4) gene encodes a transcription factor that transmits signals induced by several cytokines which play critical roles in the development of autoimmune and chronic inflammatory diseases. In the present study, we have investigated the association between STAT4 polymorphisms and a predisposition to Mycobacterium tuberculosis (MTB) infection and pulmonary tuberculosis (PTB). In the present study, a total of 209 cases of PTB, 201 subjects with latent TB infection (LTBI), and 204 healthy controls (HC) were included. Logistic regression analyses were used to calculate P-values, odds ratios (ORs), and 95% confidence intervals (CIs) for assessing the association between single nucleotide polymorphisms (SNPs) and disease risk. We used Bonferroni correction to adjust the P-values. Genotyping was conducted using the improved multiplex ligase detection reaction (iMLDR) method. For the rs7574865 polymorphism, the GT genotype is less frequent in the LTBI group compared with HC (P=0.028, OR = 0.62; 95%CI: 0.40-0.95). In addition, the prevalence of the rs897200 CC genotype was lower in the PTB cases compared with LTBI individuals (P=0.039, OR = 0.54; 95%CI: 0.30-0.97). However, no SNPs within STAT4 were associated with PTB or LTBI after Bonferroni correction. Our study demonstrated that STAT4 variants were not related to LTBI and PTB.

The STAT4 SLE risk allele rs7574865[T] is associated with increased IL-12-induced IFN-γ production in T cells from patients with SLE

OBJECTIVES

Genetic variants in the transcription factor STAT4 are associated with increased susceptibility to systemic lupus erythematosus (SLE) and a more severe disease phenotype. This study aimed to clarify how the SLE-associated intronic STAT4 risk allele rs7574865[T] affects the function of immune cells in SLE.

METHODS

Peripheral blood mononuclear cells (PBMCs) were isolated from 52 genotyped patients with SLE. Phosphorylation of STAT4 (pSTAT4) and STAT1 (pSTAT1) in response to interferon (IFN)-α, IFN-γ or interleukin (IL)-12, total levels of STAT4, STAT1 and T-bet, and frequency of IFN-γ+ cells on IL-12 stimulation were determined by flow cytometry in subsets of immune cells before and after preactivation of cells with phytohaemagglutinin (PHA) and IL-2. Cellular responses and phenotypes were correlated to STAT4 risk allele carriership. Janus kinase inhibitors (JAKi) selective for TYK2 (TYK2i) or JAK2 (JAK2i) were evaluated for inhibition of IL-12 or IFN-γ-induced activation of SLE PBMCs.

RESULTS

In resting PBMCs, the STAT4 risk allele was neither associated with total levels of STAT4 or STAT1, nor cytokine-induced pSTAT4 or pSTAT1. Following PHA/IL-2 activation, CD8+ T cells from STAT4 risk allele carriers displayed increased levels of STAT4 resulting in increased pSTAT4 in response to IL-12 and IFN-α, and an augmented IL-12-induced IFN-γ production in CD8+ and CD4+ T cells. The TYK2i and the JAK2i efficiently blocked IL-12 and IFN-γ-induced activation of PBMCs from STAT4 risk patients, respectively.

CONCLUSIONS

T cells from patients with SLE carrying the STAT4 risk allele rs7574865[T] display an augmented response to IL-12 and IFN-α. This subset of patients may benefit from JAKi treatment.

Evidence for association of STAT4 and IL12RB2 variants with Myasthenia gravis susceptibility: What is the effect on gene expression in thymus?

Myasthenia gravis (MG) is an autoimmune disease mediated by the presence of autoantibodies that bind mainly to the acetylcholine receptor (AChR) in the neuromuscular junction. In our case-control association study, we analyzed common variants located in genes of the IL12/STAT4 and IL10/STAT3 signaling pathways. A total of 175 sporadic MG patients of Greek descent, positively detected with anti-AChR autoantibodies and 84 ethnically-matched, healthy volunteers were enrolled in the study. Thymus samples were obtained from 16 non-MG individuals for relative gene expression analysis. The strongest signals of association were observed in the cases of rs6679356 between the late-onset MG patients and controls and rs7574865 between early-onset MG and controls. Our investigation of the correlation between the MG-associated variants and the expression levels of each gene in thymus did not result in significant differences.

STAT4 Polymorphisms are Associated with Neuromyelitis Optica Spectrum Disorders

STAT4 plays a crucial role in the functioning of the innate and adaptive immune cells and has been identified as a susceptibility gene in numerous autoimmune disorders. However, its association with neuromyelitis optica spectrum disorders (NMOSD) remains uncertain. Here, we performed a case-control study to determine whether STAT4 contributed to the risk of NMOSD. We tested five STAT4 SNPs in 233 patients with established NMOSD and 492 healthy controls. Chi-square tests and logistic regression analyses were performed with four genetic models, including allelic, additive, dominant, and recessive models, to identify associations with NMOSD. The results of multiple test comparisons were corrected using the Benjamini and Hochberg false discovery rate (FDR-BH). After correcting for multiple test comparisons, the minor alleles of four STAT4 SNPs exhibited significant association with increased risk of NMOSD (rs7574865 T, odds ratio [OR] = 1.66, 95% confidence interval [CI] 1.32-2.08, P _corr = 0.000; rs10181656 G, OR = 1.62, 95% CI 1.29-2.03, P _corr = 0.000; rs10168266 T, OR = 1.59, 95% CI 1.27-2.00, P _corr = 0.001; and rs13426947 A, OR = 1.51, 95% CI 1.21-1.90, P _corr = 0.004). Identical results were observed in the dominant, recessive, and additive models. In contrast, the G allele of rs7601754 displayed a protective effect against NMOSD (OR = 0.53, 95% CI 0.36-0.76, P _corr = 0.006). Our study indicates that STAT4 polymorphisms are associated with the risk of NMOSD, which provides novel insights into the underlying mechanisms of this disease.

Meta-analysis reveals an association between signal transducer and activator of transcription-4 polymorphism and hepatocellular carcinoma risk

AIM

Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related mortality worldwide. Signal transducer and activator of transcription (STAT) proteins play a multitude of important functions in liver pathophysiology. Recent studies have indicated associations of rs7574865 single nucleotide polymorphism (SNP) in the STAT4 gene with various autoimmune diseases. The association between STAT4 polymorphism and the risk of HCC has been analyzed in several studies, but results remain inconsistent. This study used a meta-analysis approach to comprehensively investigate the correlation between STAT4 polymorphism and HCC risk based on previously published reports.

METHODS

Studies were searched from the databases of PubMed, EMBase, Web of Science, and the Chinese National Knowledge Infrastructure up to 31 December 2015. The meta-analysis was carried out based on the statement of Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

RESULTS

Eight published studies, consisting of 7503 HCC patients (cases) and 13 831 individuals without HCC (controls), were included in the present study. Meta-analysis of the included studies revealed that STAT4 rs7574865 polymorphism contributed to the risk of HCC under all four genetic models, consisting of the allelic model (G vs. T: odds ratio [OR], 1.25; 95% confidence interval [CI], 1.19-1.30), the dominant effect model (GG + GT vs. TT: OR, 1.52; 95% CI, 1.26-1.84), the recessive effect model (GG vs. GT + TT: OR, 1.35; 95% CI, 1.21-1.50), and the co-dominant effect model (GG vs.. TT: OR, 1.72; 95% CI, 1.42-2.10) comparisons. No publication bias was indicated from either visualization of the funnel plot or Egger's test.

CONCLUSION

A significantly increased risk of HCC associated with the rs7574865 G was found. The rs7574865 polymorphism might be used as one risk factor for HCC.

Polymorphisms in STAT4, PTPN2, PSORS1C1 and TRAF3IP2 Genes Are Associated with the Response to TNF Inhibitors in Patients with Rheumatoid Arthritis

Objective

Rheumatoid Arthritis (RA) is a progressive autoimmune disease characterized by chronic joint inflammation and structural damage. Remission or at least low disease activity (LDA) represent potentially desirable goals of RA treatment. Single nucleotide polymorphisms (SNPs) in several genes might be useful for prediction of response to therapy. We aimed at exploring 4 SNPs in candidate genes (STAT4, PTPN2, PSORS1C1 and TRAF3IP2) in order to investigate their potential role in the response to therapy with tumor necrosis factor inhibitors (TNF-i) in RA patients.

Methods

In 171 RA patients we investigated the following SNPs: rs7574865 (STAT4), rs2233945 (PSORS1C1), rs7234029 (PTPN2) and rs33980500 (TRAF3IP2). Remission, LDA, and EULAR response were registered at 6 months and 2 years after initiation of first line TNF-i [Adalimumab (ADA) and Etanercept (ETN)].

Results

STAT4 variant allele was associated with the absence of a good/moderate EULAR response at 2 years of treatment in the whole RA group and in ETN treated patients. The PTPN2 SNP was associated with no good/moderate EULAR response at 6 months in ADA treated patients. Patients carrying PSORS1C1 variant allele did not reach LDA at 6 months in both the whole RA group and ETN treated patients. TRAF3IP2 variant allele was associated with the lack of LDA and remission achievement at 6 months in all RA cohort while an association with no EULAR response at 2 years of treatment occurred only in ETN treated patients.

Conclusions

For the first time, we reported that SNPs in STAT4, PTPN2, PSORS1C1, and TRAF3IP2 are associated with response to TNF-i treatment in RA patients; however, these findings should be validated in a larger population.

Effect of donor STAT4 polymorphism rs7574865 on clinical outcomes of pediatric acute leukemia patients after hematopoietic stem cell transplant

STAT4 polymorphism, rs7574865 is linked to various autoimmune diseases such as systemic lupus erythematosus and rheumatoid arthritis. Its T minor allele is associated with higher STAT4 mRNA and protein expression, indicating a stronger skewed immune response than the norm. Although widely studied in autoimmune disease patients and the general population, its effect on immunocompromised subjects is still unknown. Especially in situations, i.e. post-hematopoietic stem cell transplantation (post-HSCT), where control of the immune response is crucial. Hence, this study investigates if the presence of the T minor allele in donors would affect immunological response and clinical outcomes post-HSCT. Samples from 161 pediatric patients who underwent allogeneic HSCT for acute leukemia and showed complete chimerism by donor cells were obtained. Six clinical outcomes were investigated; hepatic veno-occlusive disease, acute graft-vs-host disease, chronic graft-vs-host disease, cytomegalovirus (CMV) infection, relapse and overall survival. The TT genotype was found to be significant in the occurrence of CMV infection (P=0.049), showing higher incidence of CMV infection compared to the others. Multivariate analysis confirmed that association of the TT genotype is independent from other variables in CMV infection occurrence (P=0.010). This is the first study on STAT4 polymorphism rs7574865 in allogeneic HSCT as well as immunocompromised patients. As the TT genotype is associated with autoimmune diseases, our results seem at a paradox with current evidence hinting at a different role of STAT4 in normal circumstances versus immunocompromised patients. Further investigation is needed to elicit the reason behind this and discover novel applications for better post-transplant outcomes.