循环细胞因子和甲状腺功能减退之间的关联:一项两样本双向孟德尔随机化分析
Mendelian Randomization Investigation of the Causal Association between Circulating Cytokines and Hypothyroidism
DOI: 10.12677/acm.2025.1592695, PDF,    国家自然科学基金支持
作者: 周保才, 杨镇菘:青岛大学附属烟台毓璜顶医院胃肠外科,山东 烟台;青岛大学医学院,山东 青岛;鉴 谧:青岛大学附属烟台毓璜顶医院胃肠外科,山东 烟台;姜芳洁*:青岛大学附属烟台毓璜顶医院内分泌科,山东 烟台;姜立新*:烟台业达医院普外科,山东 烟台
关键词: 甲状腺功能减退症循环细胞因子孟德尔随机化研究血清标志物Hypothyroidism Circulating Cytokines Mendelian Randomization Biomarkers
摘要: 目的:探讨甲状腺功能减退症风险与循环细胞因子的因果关系,并确定用于识别甲减高危人群的生物标志物。方法:本研究采用双向孟德尔随机化(mendelian randomization, MR)分析,基于欧洲人群甲状腺功能减退症的全基因组关联(genome-wide association, GWAS)研究数据。选择41种循环细胞因子相关的遗传突变作为本实验的工具变量。为确保研究结果可靠,我们还增加了敏感性分析(基因多效性、异质性和leave-one-out测试)和反向MR评估。结果:结果显示甲状腺功能减退症风险与白细胞介素-8 (Interleukin-8 levels, IL-8)和白细胞介素-9水平(Interleukin-9 levels, IL-9)之间存在很强的因果关系。单核细胞趋化蛋白-1 (Monocyte chemoattractant protein-1 levels, MCP-1)和巨噬细胞炎症蛋白1b (Macrophage inflammatory protein 1b levels, MIP-1b)尽管显示出了很强的相关性,但没有通过敏感性测试。MR分析表明IL-8和IL-9是潜在的甲状腺功能减退症预测生物标志物。结论:本项孟德尔随机研究明确了特定循环细胞因子与甲状腺功能减退症风险之间存在因果关系,为识别甲状腺功能减退症高风险人群提供新的可靠预测生物标志物,并为探索免疫系统与甲状腺功能的复杂相关性提供生物学证据。
Abstract: Objective: To explore the causal relationship between hypothyroidism risk and circulating cytokines and identify potential biomarkers for screening. Methods: This study employed a bidirectional Mendelian randomization (MR) analysis based on data from genome-wide association (GWAS) studies of hypothyroidism from people of European ancestry. The genetic variants associated with 41 circulating cytokines were selected as instrumental variables for this experiment. For robustness and consistency of findings, we conducted additional sensitivity analyses (Gene pleiotropy, heterogeneity, and leave-one-out testing) and reverse Mendelian randomization assessments. Results: The analysis revealed a strong causal relationship between hypothyroidism risk and Interleukin-8 levels (IL-8) and Interleukin-9 levels (IL-9). We except Monocyte chemoattractant protein-1 levels (MCP-1) and Macrophage inflammatory protein 1b levels (MIP-1b), which showed a strong correlation but don’t pass the sensitivity test. MR analyses indicated that IL-8 and IL-9 are potential hypothyroidism predictive biomarkers. Conclusion: This Mendelian randomized study offers valuable insights into the causal relationships between specific circulating cytokines and hypothyroidism risk. These findings have potential in developing new predictive biomarkers for hypothyroidism and may provide valuable information for subsequent studies to explore the complex association between the immune system and thyroid function.
文章引用:周保才, 鉴谧, 杨镇菘, 姜芳洁, 姜立新. 循环细胞因子和甲状腺功能减退之间的关联:一项两样本双向孟德尔随机化分析[J]. 临床医学进展, 2025, 15(9): 1870-1878. https://doi.org/10.12677/acm.2025.1592695

参考文献

[1] Bianco, A.C. (2024) Emerging Therapies in Hypothyroidism. Annual Review of Medicine, 75, 307-319. [Google Scholar] [CrossRef] [PubMed]
[2] Calissendorff, J. and Falhammar, H. (2020) To Treat or Not to Treat Subclinical Hypothyroidism, What Is the Evidence? Medicina, 56, Article 40. [Google Scholar] [CrossRef] [PubMed]
[3] Jonklaas, J., Bianco, A.C., Bauer, A.J., Burman, K.D., Cappola, A.R., Celi, F.S., et al. (2014) Guidelines for the Treatment of Hypothyroidism: Prepared by the American Thyroid Association Task Force on Thyroid Hormone Replacement. Thyroid, 24, 1670-1751. [Google Scholar] [CrossRef] [PubMed]
[4] Maraka, S., Ospina, N.M.S., O'Keeffe, D.T., Espinosa De Ycaza, A.E., Gionfriddo, M.R., Erwin, P.J., et al. (2016) Subclinical Hypothyroidism in Pregnancy: A Systematic Review and Meta-Analysis. Thyroid, 26, 580-590. [Google Scholar] [CrossRef] [PubMed]
[5] Chen, J., Zhu, J., Huang, X., Zhao, S., Xiang, H., Zhou, P., et al. (2022) Subclinical Hypothyroidism with Negative for Thyroid Peroxidase Antibodies in Pregnancy: Intellectual Development of Offspring. Thyroid, 32, 449-458. [Google Scholar] [CrossRef] [PubMed]
[6] Xie, L., Huang, Y., Ma, X., Ma, X., Wang, J., Gao, T., et al. (2025) Effects of Subclinical Hypothyroidism during Pregnancy on mtDNA Methylation in the Brain of Rat Offspring. BMC Neuroscience, 26, Article No. 6. [Google Scholar] [CrossRef] [PubMed]
[7] Duan, J., Xu, P., Luan, X., Ji, Y., He, X., Song, N., et al. (2022) Hormone-And Antibody-Mediated Activation of the Thyrotropin Receptor. Nature, 609, 854-859. [Google Scholar] [CrossRef] [PubMed]
[8] McLachlan, S.M. and Rapoport, B. (2013) Thyrotropin-Blocking Autoantibodies and Thyroid-Stimulating Autoantibodies: Potential Mechanisms Involved in the Pendulum Swinging from Hypothyroidism to Hyperthyroidism or Vice Versa. Thyroid, 23, 14-24. [Google Scholar] [CrossRef] [PubMed]
[9] Beumer, W., Effraimidis, G., Drexhage, R.C., Wiersinga, W.M. and Drexhage, H.A. (2013) Changes in Serum Adhesion Molecules, Chemokines, Cytokines, and Tissue Remodeling Factors in Euthyroid Women without Thyroid Antibodies Who Are at Risk for Autoimmune Thyroid Disease: A Hypothesis on the Early Phases of the Endocrine Autoimmune Reaction. The Journal of Clinical Endocrinology & Metabolism, 98, 2460-2468. [Google Scholar] [CrossRef] [PubMed]
[10] Antonelli, A., Ferrari, S.M., Frascerra, S., Di Domenicantonio, A., Nicolini, A., Ferrari, P., et al. (2011) Increase of Circulating CXCL9 and CXCL11 Associated with Euthyroid or Subclinically Hypothyroid Autoimmune Thyroiditis. The Journal of Clinical Endocrinology & Metabolism, 96, 1859-1863. [Google Scholar] [CrossRef] [PubMed]
[11] Han, C., Xia, X., Liu, A., et al. (2016) Circulating Betatrophin Is Increased in Patients with Overt and Subclinical Hypothyroidism. BioMed Research International, 2016, Article ID: 5090852. [Google Scholar] [CrossRef] [PubMed]
[12] Merakchi, K., Djerbib, S., Soleimani, M., Dumont, J., Miot, F. and De Deken, X. (2022) Murine Thyroid IL-4 Expression Worsens Hypothyroidism on Iodine Restriction and Mitigates Graves Disease Development. Endocrinology, 163, bqac107. [Google Scholar] [CrossRef] [PubMed]
[13] Zhang, Y., Zhang, H., Shi, W. and Wang, W. (2020) Mief1 Augments Thyroid Cell Dysfunction and Apoptosis through Inhibiting AMPK-PTEN Signaling Pathway. Journal of Receptors and Signal Transduction, 40, 15-23. [Google Scholar] [CrossRef] [PubMed]
[14] Clausen, C.L., Rasmussen, Å.K., Johannsen, T.H., Hilsted, L.M., Skakkebæk, N.E., Szecsi, P.B., et al. (2021) Thyroid Function in COVID-19 and the Association with Cytokine Levels and Mortality. Endocrine Connections, 10, 1234-1242. [Google Scholar] [CrossRef] [PubMed]
[15] Birney, E. (2022) Mendelian Randomization. Cold Spring Harbor Perspectives in Medicine, 12, a041302. [Google Scholar] [CrossRef] [PubMed]
[16] Ahola-Olli, A.V., Würtz, P., Havulinna, A.S., Aalto, K., Pitkänen, N., Lehtimäki, T., et al. (2017) Genome-Wide Association Study Identifies 27 Loci Influencing Concentrations of Circulating Cytokines and Growth Factors. The American Journal of Human Genetics, 100, 40-50. [Google Scholar] [CrossRef] [PubMed]
[17] Burgess, S., Butterworth, A. and Thompson, S.G. (2013) Mendelian Randomization Analysis with Multiple Genetic Variants Using Summarized Data. Genetic Epidemiology, 37, 658-665. [Google Scholar] [CrossRef] [PubMed]
[18] Li, P., Wang, H., Guo, L., Gou, X., Chen, G., Lin, D., et al. (2022) Association between Gut Microbiota and Preeclampsia-Eclampsia: A Two-Sample Mendelian Randomization Study. BMC Medicine, 20, Article No. 443. [Google Scholar] [CrossRef] [PubMed]
[19] Bowden, J., Davey Smith, G. and Burgess, S. (2015) Mendelian Randomization with Invalid Instruments: Effect Estimation and Bias Detection through Egger Regression. International Journal of Epidemiology, 44, 512-525. [Google Scholar] [CrossRef] [PubMed]
[20] Hartwig, F.P., Davey Smith, G. and Bowden, J. (2017) Robust Inference in Summary Data Mendelian Randomization via the Zero Modal Pleiotropy Assumption. International Journal of Epidemiology, 46, 1985-1998. [Google Scholar] [CrossRef] [PubMed]
[21] Wu, F., Huang, Y., Hu, J. and Shao, Z. (2020) Mendelian Randomization Study of Telomere Length and Bone Mineral Density. Aging, 13, 2015-2030. [Google Scholar] [CrossRef] [PubMed]
[22] Verbanck, M., Chen, C., Neale, B. and Do, R. (2018) Detection of Widespread Horizontal Pleiotropy in Causal Relationships Inferred from Mendelian Randomization between Complex Traits and Diseases. Nature Genetics, 50, 693-698. [Google Scholar] [CrossRef] [PubMed]
[23] Chen, J., Zhou, Y., Sun, Y., Yuan, S., Kalla, R., Sun, J., et al. (2023) Bidirectional Mendelian Randomisation Analysis Provides Evidence for the Causal Involvement of Dysregulation of CXCL9, CCL11 and CASP8 in the Pathogenesis of Ulcerative Colitis. Journal of Crohn's and Colitis, 17, 777-785. [Google Scholar] [CrossRef] [PubMed]
[24] Tarique, A.A., Logan, J., Thomas, E., Holt, P.G., Sly, P.D. and Fantino, E. (2015) Phenotypic, Functional, and Plasticity Features of Classical and Alternatively Activated Human Macrophages. American Journal of Respiratory Cell and Molecular Biology, 53, 676-688. [Google Scholar] [CrossRef] [PubMed]
[25] Shao, Y., Lan, Y., Chai, X., Gao, S., Zheng, J., Huang, R., et al. (2023) CXCL8 Induces M2 Macrophage Polarization and Inhibits CD8+ T Cell Infiltration to Generate an Immunosuppressive Microenvironment in Colorectal Cancer. The FASEB Journal, 37, e23173. [Google Scholar] [CrossRef] [PubMed]
[26] Kurimoto, C., Inaba, H., Ariyasu, H., Iwakura, H., Ueda, Y., Uraki, S., et al. (2020) Predictive and Sensitive Biomarkers for Thyroid Dysfunctions during Treatment with Immune-Checkpoint Inhibitors. Cancer Science, 111, 1468-1477. [Google Scholar] [CrossRef] [PubMed]
[27] Li, Y., Liu, H., He, C., Lin, Y., Ma, L. and Xue, H. (2023) Il-9-Producing Th9 Cells Participate in the Occurrence and Development of Iodine-Induced Autoimmune Thyroiditis. Biological Trace Element Research, 201, 5298-5308. [Google Scholar] [CrossRef] [PubMed]
[28] Zivancevic-Simonovic, S., Mihaljevic, O., Majstorovic, I., Popovic, S., Markovic, S., Milosevic-Djordjevic, O., et al. (2015) Cytokine Production in Patients with Papillary Thyroid Cancer and Associated Autoimmune Hashimoto Thyroiditis. Cancer Immunology, Immunotherapy, 64, 1011-1019. [Google Scholar] [CrossRef] [PubMed]
[29] Gauthier, B.R., Sola-García, A., Cáliz-Molina, M.Á., Lorenzo, P.I., Cobo-Vuilleumier, N., Capilla-González, V., et al. (2020) Thyroid Hormones in Diabetes, Cancer, and Aging. Aging Cell, 19, e13260. [Google Scholar] [CrossRef] [PubMed]