STAT3 single-nucleotide variants in autoimmune thyroid disease in the Pakhtun population of Khyber Pakhtunkhwa, Pakistan

IF 1 Q4 GENETICS & HEREDITY
Khayyam Khan , Muhammad Zahid , Niaz Ali , Sobia Attaullah , Mujeeb Ullah , Khalid Khan , Ijaz Muhammad , Ali Abusharha , Michael Aschner , Haroon Khan
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引用次数: 0

Abstract

The current study was conducted to assess the relationship between the STAT3 gene variants rs744166 and rs2293152 and autoimmune thyroid disorder in the Pakhtun population of the province, of Khyber Pakhtunkhwa, Pakistan. Blood was collected from 100 healthy individuals and 400 thyroid-disordered patients. Of these, one hundred were diagnosed with Hashimoto's thyroiditis (HT), while 32 were confirmed as Grave's disease (GD) patients. T3, T4, and TSH serum levels were checked to diagnose thyroid disorders. The blood was analyzed for anti-thyroid peroxidase antibodies (Anti-TPOAb) (AESKULISA- ATPO - elisa kit), (Germany), and thyroid stimulating hormone receptor antibodies (TSHRAb), TSHR Ab elisa kit (Diametra Italy), respectively. PCR was used to amplify the targeted STAT3 gene polymorphisms from rs744166 (301 bp) and rs2293152 (365 bp) sequences and then digested by specific restriction endonucleases (AluI) and AciI respectively. The disease displayed a female predominance. The genotype TC and CC of rs744166 showed a significant relationship with Grave's disease (p = 0.002, OR = 0.28, 95 % CI = 0.11–0.77) in patients. The C allele contributed significantly to the disease in GD patients. The SNP rs2293152 significantly differed between GD patients and control (p = 0.032, OR = 0.29, 95 % CI = 0.09–0.86). Similarly, the G and C alleles showed a significant (p = 0.02) difference between GD patients and the control. No significant association was found for both SNPs in Hashimoto's thyroiditis disease. It is concluded that the STAT3 gene (rs744166 and rs2293152) was found to have a potential role in autoimmunity in GD patients. Still, it needs further studies with larger sample sizes in the Pakhtun population to understand this relationship.

巴基斯坦开伯尔巴图克瓦省帕克顿人自身免疫性甲状腺疾病中的 STAT3 单核苷酸变异
本研究旨在评估 STAT3 基因变异体 rs744166 和 rs2293152 与巴基斯坦开伯尔巴图克瓦省 Pakhtun 人口中自身免疫性甲状腺疾病之间的关系。研究人员采集了 100 名健康人和 400 名甲状腺功能紊乱患者的血液。其中 100 人被确诊为桥本氏甲状腺炎(HT)患者,32 人被确诊为格雷夫病(GD)患者。通过检测 T3、T4 和促甲状腺激素(TSH)血清水平来诊断甲状腺疾病。分别对血液中的抗甲状腺过氧化物酶抗体(Anti-TPOAb)(AESKULISA- ATPO - elisa kit,德国)和促甲状腺激素受体抗体(TSHRAb)(TSHR Ab elisa kit,意大利 Diametra)进行分析。利用 PCR 技术从 rs744166(301 bp)和 rs2293152(365 bp)序列中扩增出目标 STAT3 基因多态性,然后分别用特定的限制性内切酶(AluI)和 AciI 进行消化。该病以女性为主。rs744166的基因型TC和CC与格雷夫病有显著关系(p = 0.002,OR = 0.28,95 % CI = 0.11-0.77)。C等位基因对GD患者的疾病有明显影响。SNP rs2293152 在 GD 患者和对照组之间存在显著差异(p = 0.032,OR = 0.29,95 % CI = 0.09-0.86)。同样,G 和 C 等位基因在 GD 患者和对照组之间也有明显差异(p = 0.02)。在桥本氏甲状腺炎疾病中,这两个 SNPs 均未发现明显关联。结论是,STAT3 基因(rs744166 和 rs2293152)在 GD 患者的自身免疫中具有潜在作用。不过,要了解这种关系,还需要在帕赫顿人群中开展样本量更大的进一步研究。
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来源期刊
Gene Reports
Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍: Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.
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