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探索自身免疫性肝病、慢性丙型肝炎和甲状腺疾病之间的因果联系:来自美国国家健康与营养检查调查(NHANES)和全基因组关联研究(GWAS)的证据。

Exploring causal links between autoimmune liver diseases, chronic hepatitis C, and thyroid disorders: Evidence from NHANES and GWAS studies.

作者信息

Nie Qilong, Jiang Yongwen, Liang Qiuyan, Li Mingyang, Huang Caiyang, Yuan Yongwei, Qiu Tengyu, Ma Xiaojun, Li Jianhong

机构信息

The Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.

Foshan Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.

出版信息

Medicine (Baltimore). 2025 Aug 29;104(35):e44112. doi: 10.1097/MD.0000000000044112.

Abstract

Autoimmune liver diseases (AILDs), including autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC), often have complex interactions with thyroid diseases (TDs), such as hypothyroidism, hyperthyroidism, and Hashimoto thyroiditis (HT). These conditions frequently coexist and may share common autoimmune mechanisms, but their exact relationship remains poorly understood. Chronic hepatitis C (CHC), a viral liver disease, also affects thyroid function, but its interaction with TD is still under investigation. This study explores the causal links between AILD, CHC, and TD using data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR) analysis. Data were sourced from NHANES (2013-2018) and various genome-wide association studies. The NHANES analysis included 8978 participants after applying inclusion and exclusion criteria. Logistic regression models were used to assess associations between CHC and TD. MR analysis employed single-nucleotide polymorphisms as instrumental variables to investigate causal relationships between AILD, CHC, and TD. NHANES analysis revealed no significant association between CHC and TD. Forward MR analysis indicated significant causal relationships between PBC and hypothyroidism (inverse variance weighting [IVW] odds ratio [OR] = 1.004, 95% confidence intervals [CI] 1.002-1.006, P < .001), PSC and hyperthyroidism (IVW OR = 1.002, 95% CI 1.002-1.003, P < .001), and PBC and HT (IVW OR = 1.05, 95% CI 1.012-1.089, P = .010). Reverse MR analysis suggested causal links between hypothyroidism, hyperthyroidism, HT, thyroid cancer, and AIH, as well as hypothyroidism with PBC and PSC. Multivariable MR confirmed significant associations between AIH and hypothyroidism (P < .001), hyperthyroidism (P = .008) across IVW method. The IVW method also revealed another significant causal relationship between PSC and hyperthyroidism (P < .001), HT (P = .013). Multivariable MR also analysis to investigate the association between TD as exposures and AILD as outcomes; the IVW method revealed a noteworthy causal association solely between HT and AIH (P = .035). The study identified significant causal associations between AILD (particularly PBC and PSC) and specific TD, emphasizing the need for regular thyroid monitoring in AILD patients. However, no significant causal link was found between CHC and TD.

摘要

自身免疫性肝病(AILD),包括自身免疫性肝炎(AIH)、原发性胆汁性胆管炎(PBC)和原发性硬化性胆管炎(PSC),常与甲状腺疾病(TD)存在复杂的相互作用,如甲状腺功能减退、甲状腺功能亢进和桥本甲状腺炎(HT)。这些病症经常共存,可能共享共同的自身免疫机制,但其确切关系仍知之甚少。慢性丙型肝炎(CHC)是一种病毒性肝病,也会影响甲状腺功能,但其与TD的相互作用仍在研究中。本研究利用美国国家健康与营养检查调查(NHANES)的数据和孟德尔随机化(MR)分析,探讨AILD、CHC和TD之间的因果关系。数据来源于NHANES(2013 - 2018年)以及各种全基因组关联研究。在应用纳入和排除标准后,NHANES分析纳入了8978名参与者。采用逻辑回归模型评估CHC与TD之间的关联。MR分析采用单核苷酸多态性作为工具变量,研究AILD、CHC和TD之间的因果关系。NHANES分析显示CHC与TD之间无显著关联。正向MR分析表明PBC与甲状腺功能减退之间存在显著因果关系(逆方差加权[IVW]比值比[OR]=1.004,95%置信区间[CI]为1.002 - 1.006,P<.001),PSC与甲状腺功能亢进之间存在显著因果关系(IVW OR = 1.002,95% CI为1.002 - 1.003,P<.001),以及PBC与HT之间存在显著因果关系(IVW OR = 1.05,95% CI为1.012 - 1.089,P = .010)。反向MR分析提示甲状腺功能减退、甲状腺功能亢进、HT、甲状腺癌与AIH之间存在因果联系,以及甲状腺功能减退与PBC和PSC之间存在因果联系。多变量MR证实AIH与甲状腺功能减退(P<.001)、甲状腺功能亢进(P = .008)在IVW方法下存在显著关联。IVW方法还揭示了PSC与甲状腺功能亢进(P<.001)、HT(P = .013)之间的另一种显著因果关系。多变量MR还分析了以TD为暴露因素、AILD为结局的关联;IVW方法仅揭示了HT与AIH之间存在值得注意的因果关联(P = .035)。该研究确定了AILD(特别是PBC和PSC)与特定TD之间存在显著因果关联,强调了对AILD患者进行定期甲状腺监测的必要性。然而,未发现CHC与TD之间存在显著因果联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c396/12401383/3790df5e785e/medi-104-e44112-g001.jpg

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