细胞因子单核苷酸多态性与乙型肝炎病毒相关肝硬化的关系:病例对照研究

IF 3.1 4区 医学 Q3 IMMUNOLOGY
Yijun Li, Haowei Zhou, Weikang Wu, Wenhua Zhang, Yancheng Ye, Wenling Jia, Chunhui Liang, Haitao Tang, Fengmei Wang, Zhongjun Shao, Xiaojie Yuan, Weilu Zhang
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引用次数: 0

摘要

背景和目的:各种炎症和免疫细胞因子在乙型肝炎病毒(HBV)相关肝硬化(LC)的进展中起着关键作用。本研究探讨了细胞因子中的单核苷酸多态性(SNPs)与多态性和性别-多态性相互作用的综合效应与 LC 风险之间的关系:本研究采用病例对照设计,样本选自武威医学科学院肿瘤医院的45例乙肝相关性肝硬化患者和45例年龄性别匹配的非肝硬化慢性HBV感染者。使用实时聚合酶链反应等位基因鉴别系统检测了 15 个 SNPs。利用逻辑回归评估细胞因子相关的SNPs以及SNPs与HBV感染者LC进展之间的关系:多变量调整逻辑模型显示,rs1800896的GG/AG显性模型(OR,16.38;95% CI,1.13-236.70)和G等位基因(OR,5.93;95% CI,0.98-36.01)与CHB患者肝硬化风险增加有关。相反,rs2227306 CT 降低了肝硬化风险(OR,0.22;95% CI,0.04-1.38)。Rs2055979 AA/AC 与肝硬化风险呈负相关,在男性中可能发生逆转(p = 0.021)。Rs1799964 CC/CT 与肝硬化风险呈正相关,但降低了男性的肝硬化风险(OR,0.13;95% CI,0.022-0.808;p = 0.028)。rs1799964 TT 和 rs1799724 CT/TT 基因型与 rs1800896 AA 在降低肝硬化风险方面具有协同作用(OR,0.08;95% CI,0.01-1.43 和 OR,0.12;95% CI,0.01-2.21):多态性 rs1800896 和 rs2227306 可能与肝硬化风险有关。该研究首次强调了 rs2055979 AA/AC 和 rs1799964 CC/CT 多态性与性别的相互作用,以及其对男性肝硬化风险的潜在逆转作用。此外,rs1800896 AA 与 rs1799964 TT 和 rs1799724 CT/TT 在预防 HBV 感染进展为肝硬化方面具有协同作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Associations between single nucleotide polymorphisms of cytokines and hepatitis B virus-related liver cirrhosis: A case-control study

Associations between single nucleotide polymorphisms of cytokines and hepatitis B virus-related liver cirrhosis: A case-control study

Background and Aims

Various inflammatory and immune cytokines play key roles in the progression of hepatitis B virus (HBV)-related liver cirrhosis (LC). This study explored the relationship between single nucleotide polymorphisms (SNPs) in cytokines with the combined effect of polymorphisms and gender-polymorphisms interaction and LC risk.

Methods

In this study, a case–control design was used, samples were selected from 45 patients with hepatitis B-related cirrhosis and 45 age-gender-matched chronic HBV-infected patients without cirrhosis attending the tumor hospital of Wuwei Academy of Medical Sciences. Fifteen SNPs were examined using a real-time polymerase chain reaction allelic discrimination system. Logistic regression was utilized to assess cytokine-associated SNPs and the association between SNPs and LC progression in HBV-infected patients.

Results

The multivariate-adjusted logistic model revealed that the GG/AG dominant model (OR, 16.38; 95% CI, 1.13–236.70) and G allele (OR, 5.93; 95% CI, 0.98–36.01) of rs1800896 were associated with an increased risk of cirrhosis in CHB patients. Instead, rs2227306 CT presented a reduced cirrhosis risk (OR, 0.22; 95% CI, 0.04–1.38). Rs2055979 AA/AC was negatively associated with the risk of cirrhosis, potentially reversed in males (p = 0.021). Rs1799964 CC/CT was positively related to the risk of cirrhosis but reduced the risk of cirrhosis in males (OR, 0.13; 95% CI, 0.022–0.808; p = 0.028). Both rs1799964 TT and rs1799724 CT/TT genotype showed a synergistic effect in reducing the risk of cirrhosis with rs1800896 AA (OR, 0.08; 95% CI, 0.01–1.43 and OR, 0.12; 95% CI, 0.01–2.21).

Conclusion

Polymorphisms rs1800896 and rs2227306 are potentially associated with the risk of cirrhosis. For the first time, the study highlights that the rs2055979 AA/AC and rs1799964 CC/CT polymorphism interact with gender and its potential reversal of cirrhosis risk in males. Furthermore, rs1800896 AA showed a synergistic effect with rs1799964 TT and rs1799724 CT/TT to prevent the progression of HBV infection to cirrhosis.

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来源期刊
Immunity, Inflammation and Disease
Immunity, Inflammation and Disease Medicine-Immunology and Allergy
CiteScore
3.60
自引率
0.00%
发文量
146
审稿时长
8 weeks
期刊介绍: Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology
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