Causal Relationship Between Mood Swing and Gynecological Disorders: A Mendelian Randomization Study.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-19 eCollection Date: 2024-01-01 DOI:10.2147/IJWH.S468624
Jia Bian, Hongfeng Li, Yaping Shang, Fang Zhang, Lifei Tang
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Abstract

Background: Gynecological disorders are a wide range of health problems affecting the female reproductive system, which poses substantial health challenges worldwide. Increasing number of observational studies have associated mood instability to common female diseases, but the underlying causal relationship remains unclear. In this work, Mendelian randomization (MR) analysis was applied to explore the genetically predicted causal relationship of mood swings and several prevalent gynecological disorders.

Methods: Instrumental variables (IVs) of mood swings were selected from UK Biobank (UKB), with 204,412 cases and 247,207 controls being incorporated. The genetic variants for female disorders were obtained from genome-wide association studies (GWASs) and FinnGen consortium. To avoid biases caused by racial difference, only European population was included here. Five strong analytical methodologies were used to increase the validity of the results, the most substantial of which was the inverse variance weighting (IVW) method. Pleiotropy, sensitivity, and heterogeneity were assessed to strengthen the findings.

Results: We found mood swings was significantly positively associated with risk of endometrial cancer (OR= 2.60 [95% CI= 1.36, 4.95], P= 0.0037), cervical cancer (OR= 1.01[95% CI= 1.00,1.02], P= 0.0213) and endometriosis (OR= 2.58 [95% CI= 1.18, 5.60], P= 0.0170) by IVW method. However, there was no causal relationship between mood swing and ovarian cancer. No pleiotropy and heterogeneity existed and sensitivity tests were passed.

Conclusion: This study reveals that mood swing may serve as a genetically predicted causal risk factor for endometrial cancer, cervical cancer, and endometriosis in the European population, while no such association was observed for ovarian cancer. These findings make up for observational research's inherent limitations and may improve patient outcomes in the field of gynecological health. However, the study's focus on European populations may limit the applicability of these results globally.

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情绪波动与妇科疾病的因果关系:孟德尔随机研究》。
背景:妇科疾病是影响女性生殖系统的一系列广泛的健康问题,给全世界的健康带来了巨大挑战。越来越多的观察性研究发现,情绪不稳定与常见的女性疾病有关,但其背后的因果关系仍不清楚。本研究采用孟德尔随机分析法(MR)探讨了情绪波动与几种常见妇科疾病的基因预测因果关系:方法:情绪波动的工具变量(IVs)选自英国生物库(UKB),纳入了204 412个病例和247 207个对照。女性疾病的遗传变异来自全基因组关联研究(GWAS)和芬兰基因联盟。为了避免种族差异造成的偏差,这里只纳入了欧洲人群。为了提高研究结果的有效性,研究人员采用了五种强有力的分析方法,其中最重要的是反方差加权法(IVW)。为了加强研究结果的有效性,我们还对多重性、敏感性和异质性进行了评估:我们发现情绪波动与子宫内膜癌(OR= 2.60 [95% CI= 1.36, 4.95],P= 0.0037)、宫颈癌(OR= 1.01[95% CI= 1.00,1.02],P= 0.0213)和子宫内膜异位症(OR= 2.58 [95% CI= 1.18, 5.60],P= 0.0170)的发病风险呈显著正相关。然而,情绪波动与卵巢癌之间没有因果关系。结论:本研究揭示了情绪波动对卵巢癌的影响:这项研究揭示,情绪波动可能是欧洲人群中子宫内膜癌、宫颈癌和子宫内膜异位症的遗传预测因果风险因素,而卵巢癌则没有观察到这种关联。这些发现弥补了观察研究固有的局限性,可能会改善妇科健康领域的患者治疗效果。不过,该研究以欧洲人群为重点,可能会限制这些结果在全球范围内的适用性。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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