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Kwon MJ, Kim JH, Kim KJ, Ko EJ, Lee JY, Ryu CS, Ha YH, Kim YR, Kim NK. Genetic Association between Inflammatory-Related Polymorphism in STAT3, IL-1β, IL-6, TNF-α and Idiopathic Recurrent Implantation Failure. Genes (Basel) 2023; 14:1588. [PMID: 37628639 PMCID: PMC10454471 DOI: 10.3390/genes14081588] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023] Open
Abstract
Recurrent implantation failure (RIF) is defined as a failure to achieve pregnancy after multiple embryo transfers. Implantation is closely related to inflammatory gradients, and interleukin-1beta (IL-1β), IL-6, and tumor necrosis factor-alpha (TNF-α) play a key role in maternal and trophoblast inflammation during implantation. Signal transducer and activator of transcription 3 (STAT3) interacts with cytokines and plays a critical role in implantation through involvement in the inflammation of the embryo and placenta. Therefore, we investigated 151 RIF patients and 321 healthy controls in Korea and analyzed the association between the polymorphisms (STAT3 rs1053004, IL-1β rs16944, IL-6 rs1800796, and TNF-α rs1800629, 1800630) and RIF prevalence. In this paper, we identified that STAT3 rs1053004 (AG, adjusted odds rate [AOR] = 0.623; p = 0.027; GG, AOR = 0.513; p = 0.043; Dominant, AOR = 0.601, p = 0.011), IL-6 rs1800796 (GG, AOR = 2.472; p = 0.032; Recessive, AOR = 2.374, p = 0.037), and TNF-α rs1800629 (GA, AOR = 2.127, p = 0.010, Dominant, AOR = 2.198, p = 0.007) have a significant association with RIF prevalence. This study is the first to investigate the association of each polymorphism with RIF prevalence in Korea and to compare their effect based on their function on inflammation.
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Affiliation(s)
- Min Jung Kwon
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Ji Hyang Kim
- Department of Obstetrics and Gynecology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam 13496, Republic of Korea;
| | - Kyu Jae Kim
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Eun Ju Ko
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Jeong Yong Lee
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Chang Su Ryu
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Yong Hyun Ha
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
| | - Young Ran Kim
- Department of Obstetrics and Gynecology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam 13496, Republic of Korea;
| | - Nam Keun Kim
- Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13496, Republic of Korea; (M.J.K.); (K.J.K.); (E.J.K.); (J.Y.L.); (C.S.R.); (Y.H.H.)
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Zandi M, Moghaddam VA, Salehi Z, Mashayekhi F, Dalili S. The Impact of STAT3 rs1053005 Variation on Type 1 Diabetes Mellitus Susceptibility: Association Study and in Silico Analysis. Immunol Invest 2022; 51:1908-1919. [PMID: 35762640 DOI: 10.1080/08820139.2022.2079419] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AIMS Type 1 diabetes (T1DM) is an autoimmune disorder with multiple genetic and environmental risk factors that are still poorly understood. The signal transducer and activator of transcription (STAT) proteins play a pivotal role in immune-cell genesis and regulation. This study aimed to determine the effect of rs1053005 single nucleotide polymorphism (SNP) in 3'-UTR of STAT3 mRNA on the susceptibility to T1DM in an Iranian population. METHODS PCR-RFLP was conducted on 250 T1DM patients and 250 control cases to assess STAT3 rs1053005 polymorphism. Moreover, several bioinformatics tools were employed to identify the candidate miRNAs targeting the STAT3 mRNA region under study as well as the effect of rs1053005 on their binding site. RESULTS Significant variations in the distribution of genotypes and alleles were seen between cases and controls. The comparison results of the frequency of AA, AG, and GG genotypes between T1DM patients and control groups were 49.2% versus 64.8%, 39.2 versus 30%, and 11.6 versus 5.2%, respectively. Individuals who carried GG genotype were at 2.93-fold increased risk of developing T1DM and the G allele was associated with 1.79-fold higher T1DM risk. Bioinformatics analysis demonstrated that due to rs1053005, the interaction of 3 miRNAs were broken, 3 were weakened, 2 were reinforced, and 4 binding sites were created. CONCLUSION The result of this study indicates an association between STAT3 rs1053005 and T1DM susceptibility which may be due to interference of the SNP with native-binding site of some predicted miRNAs.
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Affiliation(s)
- Maryam Zandi
- Department of Biology, University Campus2, University of Guilan, Rasht, Iran
| | | | - Zivar Salehi
- Department of Biology, Faculty of sciences, University of Guilan, Rasht, Iran
| | - Farhad Mashayekhi
- Department of Biology, Faculty of sciences, University of Guilan, Rasht, Iran
| | - Setila Dalili
- Pediatric Diseases Research Center, Guilan University of medical sciences, Rasht, Iran
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Wang F, Huang G, Shen L, Peng Y, Sha W, Chen ZW, Shen H. Genetics and Functional Mechanisms of STAT3 Polymorphisms in Human Tuberculosis. Front Cell Infect Microbiol 2021; 11:669394. [PMID: 34307193 PMCID: PMC8294188 DOI: 10.3389/fcimb.2021.669394] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/14/2021] [Indexed: 01/17/2023] Open
Abstract
Signal transducer and activator of transcription-3 (STAT3) plays an important role in biological balance. Our and others previous studies implied that STAT3 had a great effect on fast-acting innate immunity against tuberculosis (TB). We hypothesized that stat3 SNP down-regulation of STAT3 leads to a change in susceptibility to TB in humans. To test this hypothesis, we investigated STAT3 SNPs using SNP scan™ technique in a case-control study of TB patients (n = 470) and HC subjects (n = 356), and then conducted functional studies of them using cellular models. We found that SNPs in STAT3 3`-UTR of rs1053004 TT and rs1053005 AA genotypes or T-A haplotype were associated with susceptibility to TB or TB severity. While the TT/AA genotype correlated with the low constitutive expression of stat3 and IL-17A in PBMC, the variant stat3 of rs1053004-rs1053005 T-A haplotype indeed reduced stat3 expression in reporter assays. Interestingly, host PBMC expressing the rs1053005 AA genotype and low constitutive stat3 exhibited the reduced ability to mount fast-acting innate immunity against mycobacterial infection in cellular models. Finally, mechanistic experiments showed that the STAT3 down-regulation broadly depressed STAT3 downstream anti-mycobacterial activities involving VDR-related CAMP pathway as well as IL-32, iNOS and autophagy mechanisms, leading to an enhanced mycobacterial infection. The findings of this study suggest that low constitutive stat3 derived from the TT/AA genotype/T-A haplotype acts to down-regulate STAT3, depressing multiple anti-mycobacterial pathways/mechanisms downstream, which leads to an enhanced mycobacterial infection or TB in high-risk individuals.
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Affiliation(s)
- Feifei Wang
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Institute for Advanced Study, Tongji University School of Medicine, Shanghai, China.,Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guixian Huang
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Institute for Advanced Study, Tongji University School of Medicine, Shanghai, China
| | - Ling Shen
- Department of Microbiology & Immunology and Center for Primate Biomedical Research, University of Illinois College of Medicine, Chicago, IL, United States
| | - Ying Peng
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Institute for Advanced Study, Tongji University School of Medicine, Shanghai, China
| | - Wei Sha
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Institute for Advanced Study, Tongji University School of Medicine, Shanghai, China
| | - Zheng W Chen
- Department of Microbiology & Immunology and Center for Primate Biomedical Research, University of Illinois College of Medicine, Chicago, IL, United States
| | - Hongbo Shen
- Clinic and Research Center of Tuberculosis, Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Institute for Advanced Study, Tongji University School of Medicine, Shanghai, China
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Genetic polymorphisms of interleukin-6 influence the development of hepatitis B virus-related liver cirrhosis in the Han Chinese population. INFECTION GENETICS AND EVOLUTION 2020; 84:104331. [PMID: 32353512 DOI: 10.1016/j.meegid.2020.104331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 04/14/2020] [Accepted: 04/24/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Interleukin-6 (IL-6) plays an important role in chronic inflammation. Thus, we aimed to investigate the effects of IL-6 polymorphisms on predicting the progression of hepatitis B virus (HBV)-r elated liver cirrhosis. METHODS A cross-sectional study was conducted to analyse IL-6 polymorphisms and serum levels of IL-6 in HBV-infected patients at different clinical phases and in healthy controls. IL-6 polymorphisms were detected by the TaqMan PCR method, and plasma IL-6 levels were assessed by ELISA. RESULTS Our analysis included 182 chronic hepatitis B (CHB) patients, 190 HBV-infected liver cirrhosis cases, 125 inactive HBsAg carriers, and 246 healthy controls. Seven SNPs in IL-6 including rs10499563, rs17147230, rs1800796, rs2069837, rs1524107, rs2066992, and rs2069852 were analysed. In a haplotype analysis between HBV-infected liver cirrhosis cases and CHB patients, inactive HBV carriers or healthy controls, haplotype CT in block 1 and haplotype GGCGG in block 2 were associated with liver cirrhosis (P <0.05). Moreover, the genotype or allele frequencies were significantly different in IL-6 rs10499563 and rs2069837 when HBV-infected liver cirrhosis patients were compared with CHB patients, inactive HBV carriers or healthy controls. A further study found that compared with that in the healthy controls, inactive HBV carriers or CHB patients, plasma IL-6 was elevated in HBV-infected liver cirrhosis patients. CONCLUSION In conclusion, the IL-6 rs10499563 and rs2069837 polymorphisms are associated with incidence of liver cirrhosis may through their effects on IL-6 expression and these two single nucleotide polymorphisms can be used as potential prognostic markers of HBV-related liver cirrhosis.
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Zhang Z, Wang C, Liu Z, Zou G, Li J, Lu M. Host Genetic Determinants of Hepatitis B Virus Infection. Front Genet 2019; 10:696. [PMID: 31475028 PMCID: PMC6702792 DOI: 10.3389/fgene.2019.00696] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 07/03/2019] [Indexed: 12/14/2022] Open
Abstract
Chronic hepatitis B virus (HBV) infection is still a major health problem worldwide. Recently, a great number of genetic studies based on single nucleotide polymorphisms (SNPs) and genome-wide association studies have been performed to search for host determinants of the development of chronic HBV infection, clinical outcomes, therapeutic efficacy, and responses to hepatitis B vaccines, with a focus on human leukocyte antigens (HLA), cytokine genes, and toll-like receptors. In addition to SNPs, gene insertions/deletions and copy number variants are associated with infection. However, conflicting results have been obtained. In the present review, we summarize the current state of research on host genetic factors and chronic HBV infection, its clinical type, therapies, and hepatitis B vaccine responses and classify published results according to their reliability. The potential roles of host genetic determinants of chronic HBV infection identified in these studies and their clinical significance are discussed. In particular, HLAs were relevant for HBV infection and pathogenesis. Finally, we highlight the need for additional studies with large sample sizes, well-matched study designs, appropriate statistical methods, and validation in multiple populations to improve the treatment of HBV infection.
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Affiliation(s)
- Zhenhua Zhang
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
- College of Pharmacy, Anhui Medical University, Hefei, China
| | - Changtai Wang
- Department of Infectious Diseases, the Affiliated Anqing Hospital of Anhui Medical University, Anqing, China
| | - Zhongping Liu
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guizhou Zou
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jun Li
- College of Pharmacy, Anhui Medical University, Hefei, China
| | - Mengji Lu
- Institute of Virology, University Hospital of Duisburg-Essen, Essen, Germany
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Association of STAT3 and STAT4 polymorphisms with susceptibility to chronic hepatitis B virus infection and risk of hepatocellular carcinoma: a meta-analysis. Biosci Rep 2019; 39:BSR20190783. [PMID: 31160486 PMCID: PMC6616055 DOI: 10.1042/bsr20190783] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/21/2019] [Accepted: 05/30/2019] [Indexed: 12/13/2022] Open
Abstract
Background: It has been reported that polymorphisms of signal transducer and activator of transcription (STAT) 3 and STAT4 might be associated with susceptibility to hepatitis B virus (HBV) infection and risk of chronic hepatocellular carcinoma (HCC). Owing to limitation of sample size and inconclusive results, we conducted a meta-analysis to clarify the association. Methods: We identified relevant studies by a systematic search of Medline/PubMed, Embase, Web of Science and the Cochrane Library up to 20 February 2019. The strength of the association measured by odds ratios (OR) with 95% confidence intervals (CIs) was studied. All the statistical analyses were conducted based on Review Manager 5.3 software. Results: A total of 5242 cases and 2717 controls from five studies were included for the STAT3 polymorphism, 5902 cases and 7867 controls from nine studies for the STAT4 polymorphism. Our results suggested that STAT3 rs1053004 polymorphism was a significant risk factor of chronic HBV infection (C vs. T: OR = 1.17, 95% CI: 1.07–1.29, PA=0.0007; CC + CT vs. TT: OR = 1.38, 95% CI: 1.09–1.76, PA=0.008). Validation with all the genetic models revealed that rs7574865 polymorphism of STAT4 gene was closely associated with chronic HBV infection (PA<0.01) and chronic hepatitis B (CHB)-related HCC (PA<0.05). Meanwhile, the authenticity of the above meta-analysis results was confirmed by trial sequential analysis (TSA). Conclusions: The meta-analysis showed that STAT3 rs1053004 polymorphism may be the risk for developing chronic HBV infection but not associated with HCC. The present study also indicates that STAT4 rs7574865 polymorphism increased the risk of chronic HBV infection and HCC.
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