Association between COVID-19 and Irregular Menstruation and Abnormal Uterine Bleeding: A Two-Sample Mendelian Randomized Analysis
Observational studies have identified a rise in the incidence of irregular menstruation and abnormal uterine bleeding among women during the COVID-19 pandemic. However, no studies have established a causal link between the two. Mendelian randomization analysis leverages genetic variation, which is independent of confounding factors, to estimate causality. Our aim was to explore the causal relationship between COVID-19 infection and abnormal uterine bleeding as well as irregular menstruation using MR analysis. The main analysis employed the variance inverse weighting method (IVW). Sensitivity analysis and multivariate MR analysis were also conducted. The results indicated a causal relationship between patients with varying disease severity and endometrial polyps, with p-values for patients with infection, severe respiratory disease, and hospitalization being 0.0376, 0.0298, and 0.00281, respectively. As COVID-19 virus infection progressed to severe respiratory disease and hospitalization stages, the risk of heavy menstrual bleeding increased, with p-values of 0.0432 and 0.0338, respectively. When the MR-Egger regression method was considered, there was a causal relationship between COVID-19 virus infection and cervical polyps (p = 0.0490), and the risk of endometrial malignancies in hospitalized patients due to COVID-19 also increased (p = 0.0310). We further investigated the relationship between COVID-19 and hormones that may cause menstrual irregularities. We found that COVID-19 can affect the expression of estradiol and prostaglandin E2 in the host (p = 0.011 for COVID-19 infection and prostaglandin E2; p = 0.005 for patients with severe respiratory disease and estradiol p; p = 0.027 for inpatients with COVID-19 infection and estradiol). In summary, varying degrees of COVID-19 infection elevates the risk of heavy menstrual bleeding, uterine polyps, and even endometrial malignancies in women. COVID-19 infection also leads to lower levels of estradiol and prostaglandin E2 in women, which may further impact their menstruation.
COVID-19
由严重急性呼吸系统综合征冠状病毒2型(SARS-CoV-2)引起的2019冠状病毒病(COVID-19)是一场全球性的流行病,已导致严重的健康危机。COVID-19的主要症状是呼吸系统症状,如感冒、发烧和咳嗽,并可能导致一些不良结局,如肺炎、支气管炎和严重急性呼吸综合征
随着新冠肺炎防控措施的开放,临床观察到许多女性感染新冠肺炎后出现月经周期不规律、异常子宫出血或绝经后阴道出血等症状。在美国亚利桑那州开展的一项关于COVID-19长期后果的队列研究中,在一组由127名年龄在18~45岁的非怀孕女性SARS-CoV-2阳性参与者组成的子样本中,16%的人报告了月经周期的变化,包括月经不规律(60%)和月经周期延长(35%)
月经是女性生殖系统的一种周期性生理现象,其正常与否与多种激素的协同作用密切相关,其中包括雌激素(Estrogen)、孕激素(Progesterone)、卵泡刺激素(Follicle Stimulating Hormone, FSH)、黄体生成素(Luteinizing Hormone, LH)、前列腺素(Prostaglandin)和泌乳素(Prolactin)。异常子宫出血(Abnormal Uterine Bleeding, AUB)可以根据有无结构性改变分为两类:有结构改变引起的包括子宫内膜息肉(Polyp)所致AUB (AUB-P)、子官腺肌病(Adenomyosis)所致AUB (AUB-A)、子官平滑肌瘤(Leiomyoma)所致AUB (AUB-L)、子官内膜恶变和不典型增生所致AUB (AUB-M);没有结构改变的异常子宫出血包括全身凝血相关疾病(Coagulopathy)所致AUB (AUB-C)、排卵障碍(Ovulatory Dysfunction)相关的AUB (AUB-O)、子宫内膜局部异常(Endometrial)所致AUB (AUB-E)、医源性(Iatrogenic) AUB (AUB-J)、未分类(Not Yet Classified)的AUB (AUB-N)。
孟德尔随机化(Mendelian Randomization, MR)是一种流行病学方法,已被广泛应用于评估暴露与结果之间的潜在因果关系
我们首先基于COVID-19宿主遗传学倡议的GWAS水平汇总数据进行两样本孟德尔随机化(Two Sample Mendelian Randomization, TSMR)分析,探讨异常子宫出血、月经频繁和月经不规则、绝经后阴道流血与COVID-19感染之间的因果关系。然后我们进行了COVID-19感染与月经紊乱相关因素如雌激素、黄体生成素、卵泡刺激素、睾酮、前列腺素E2等的因果分析。本研究的设计如
采用全基因组关联研究(GWAS)数据库进行双样本孟德尔随机化研究。COVID-19的GWASs数据来自COVID-19宿主遗传学倡议
暴露因素 |
GWAS ID |
发表年份 |
样本量 |
SNPs 数目 |
来源 |
感染病例 |
ebi-a-GCST011071 |
2020 |
1,588,783 |
8,103,014 |
|
ebi-a-GCST011072 |
2020 |
1,058,410 |
7,750,967 |
|
|
ebi-a-GCST011073 |
2020 |
1,683,768 |
8,660,177 |
|
|
ebi-a-GCST011074 |
2020 |
1,348,071 |
8,666,451 |
|
|
严重呼吸道疾病病例 |
ebi-a-GCST011075 |
2020 |
1,388,342 |
9,739,225 |
|
ebi-a-GCST011076 |
2020 |
707,407 |
7,475,770 |
|
|
ebi-a-GCST011077 |
2020 |
1,059,456 |
7,496,658 |
|
|
ebi-a-GCST011078 |
2020 |
1,059,456 |
9,817,241 |
|
|
新冠肺炎住院病例与非住院病例 |
ebi-a-GCST011079 |
2020 |
10,365 |
4,971,116 |
|
ebi-a-GCST011080 |
2020 |
16,645 |
8,360,206 |
|
|
新冠肺炎住院病例 |
ebi-a-GCST011081 |
2020 |
1,887,658 |
8,107,040 |
|
ebi-a-GCST011082 |
2020 |
1,557,411 |
6,814,406 |
|
|
ebi-a-GCST011083 |
2020 |
1,557,411 |
8,110,403 |
|
|
ebi-a-GCST011084 |
2020 |
1,206,629 |
7,534,178 |
|
英国生物银行(UKB)是英国最大的关于导致或预防疾病遗传和环境因素的信息库。该项目收集了50万名年龄在40岁至69岁之间的英国志愿者的基因信息、血液样本、生活方式和环境暴露数据,并在之后的几十年里追踪他们的健康记录
结局因素 |
GWAS ID |
发表年份 |
样本量 |
SNPs数目 |
来源 |
异常的子宫和阴道不明原因的出血 |
ukb-b-10849 |
2018 |
463,010 |
9,851,867 |
ukbiobank |
月经频繁和月经不规则 |
ukb-a-578 |
2017 |
337,199 |
10,894,596 |
ukbiobank |
绝经后阴道流血 |
ukb-b-5712 |
2018 |
463,010 |
9,851,867 |
ukbiobank |
月经大出血 |
ukb-b-19719 |
2018 |
462,933 |
9,851,867 |
ukbiobank |
子宫息肉 |
ukb-b-15136 |
2018 |
462,933 |
9,851,867 |
ukbiobank |
宫颈息肉 |
ukb-b-19110 |
2018 |
463,010 |
9,851,867 |
ukbiobank |
子宫肌瘤 |
ukb-a-522 |
2018 |
337,199 |
9,851,867 |
ukbiobank |
子宫腺肌症 |
ukb-b-9668 |
2018 |
463,010 |
9,851,867 |
ukbiobank |
子宫内膜恶性肿瘤 |
ebi-a-GCST90018838 |
2021 |
240,027 |
24,135,295 |
|
与月经相关的激素包括雌激素、LH、FSH、泌乳素、睾酮、前列腺素E2的GWAS汇总数据来自欧盟开放GWAS数据项目,仅包括欧洲人群
结局因素 |
GWAS ID |
发表年份 |
样本量 |
SNPs数目 |
来源 |
雌二醇 |
ebi-a-GCST90020092 |
2020 |
163,985 |
7,488,193 |
PubMed ID: 32042192 |
FSH |
prot-a-528 |
2021 |
3301 |
10,534,735 |
PubMed ID: 29875488 |
LH |
prot-a-529 |
2021 |
3301 |
10,534,735 |
PubMed ID: 29875488 |
泌乳素 |
ebi-a-GCST90012030 |
2020 |
21,758 |
20,208,673 |
PubMed ID: 33067605 |
睾酮 |
ebi-a-GCST90012104 |
2020 |
382,988 |
16,137,327 |
PubMed ID: 32042192 |
前列腺素E2 |
ebi-a-GCST90019410 |
2020 |
10,708 |
15,566,910 |
PubMed ID: 33328453 |
选择作为工具变量的SNP需要满足孟德尔随机化的三个假设:1) 与暴露相关;2) 独立,不受其他混杂影响;3) 只有暴露因素会对结局变量产生影响。我们设置了一个P < 5 × 10−6的SNP选择阈值,同时计算F值来检验工具变量的强度,并选择与F > 10作为强相关的工具变量。连锁不平衡系数设为r2 < 0.001,连锁不平衡距离的r2值为10000 kb。
所有统计分析均使用R软件4.3.3版中的TwoSampleMR R包进行。在这项MR研究中,逆方差加权(Inverse Variance Weighting, IVW)被用作估计总体效应大小的主要方法
在我们的孟德尔随机研究中,根据MR中的IVW方法,不同疾病程度的COVID-19患者与子宫内膜息肉存在因果关系,感染、患有严重的呼吸道疾病、住院患者的p值分别为0.0376、0.0298、0.00281。当COVID-19病毒感染进展到严重呼吸道疾病和住院阶段时,月经大出血的风险增大,p值分别为0.0432和0.0338。SNPs对暴露和结果的估计效应大小显示在散点图中(
暴露 |
结局 |
方法 |
SNP |
Beta |
Se |
P-value |
COVID-19感染病例 |
宫颈息肉 |
MR-Egger |
8 |
0.000944152 |
0.00405596 |
0.823668623 |
Weighted Median |
8 |
0.000974486 |
0.000896264 |
0.276915003 |
||
Inverse Variance Weighted |
8 |
0.00144232 |
0.000694028 |
0.037692257 |
||
子宫息肉 |
MR-Egger |
13 |
0.010681509 |
0.004830143 |
0.049095925 |
|
Weighted Median |
13 |
−0.000509744 |
0.001105771 |
0.644809355 |
||
Inverse variance weighted |
13 |
−0.001028386 |
0.000833324 |
0.217174223 |
||
严重呼吸道疾病病例 |
子宫息肉 |
MR-Egger |
10 |
0.001672449 |
0.001182189 |
0.194876327 |
Weighted Median |
10 |
0.000556754 |
0.000304477 |
0.067465912 |
||
Inverse Variance Weighted |
10 |
0.000514765 |
0.000236979 |
0.029840981 |
||
月经大出血 |
MR-Egger |
8 |
0.00219742 |
0.001049969 |
0.08127823 |
|
Weighted Median |
8 |
0.000691156 |
0.00028732 |
0.016149135 |
||
Inverse Variance Weighted |
8 |
0.000507868 |
0.000251205 |
0.043204201 |
||
COVID-19住院病例 |
子宫息肉 |
MR-Egger |
13 |
0.000392972 |
0.001698672 |
0.821297219 |
Weighted Median |
13 |
0.000984895 |
0.000357831 |
0.005915966 |
||
Inverse Variance Weighted |
13 |
0.000772135 |
0.000258488 |
0.002816139 |
||
月经大出血 |
MR-Egger |
12 |
0.003788508 |
0.001697342 |
0.049671771 |
|
Weighted Median |
12 |
0.000676394 |
0.000320905 |
0.035051214 |
||
Inverse Variance Weighted |
12 |
0.000501559 |
0.000236397 |
0.033864763 |
||
子宫内膜恶性肿瘤 |
MR-Egger |
33 |
−0.220156583 |
0.097443657 |
0.031040062 |
|
WeightedMedian |
33 |
−0.025761848 |
0.058692278 |
0.660711686 |
||
Inverse Variance Weighted |
33 |
−0.013838251 |
0.041359809 |
0.737940354 |
图2. COVID-19与月经不规则及子宫异常出血的孟德尔随机分析散点图
我们进一步通过TSMR分析了COVID-19与雌二醇、FSH、LH、IGF-1、催乳素、DHEA-S睾酮、前列腺素E2之间的关系。其中,我们发现COVID-19与雌二醇、前列腺素E2之间存在显著性结果。Cochran’s Q检验和MR-Egger回归发现了SNP异质性和定向多效性之间的证据。IVW及其他两种方法的beta、se、p值如
暴露 |
结局 |
Method |
SNP |
Beta |
Se |
P-value |
COVID-19 疾病病例 |
前列腺素E2 |
MR-Egger |
20 |
−0.131827476 |
0.204147488 |
0.526590898 |
Weighted Median |
20 |
−0.126405422 |
0.081671163 |
0.121685802 |
||
Inverse Variance Weighted |
20 |
−0.154712009 |
0.061157811 |
0.011415427 |
||
严重呼吸道疾病病例 |
雌二醇 |
MR-Egger |
31 |
0.05541441 |
0.03691021 |
0.144081012 |
Weighted Median |
31 |
0.048291752 |
0.019287424 |
0.012286929 |
||
Inverse Variance Weighted |
31 |
0.038311368 |
0.013714806 |
0.00521521 |
||
COVID-19住院病例 |
雌二醇 |
MR-Egger |
29 |
0.042900724 |
0.050472655 |
0.402810987 |
Weighted Median |
29 |
0.077346316 |
0.03210824 |
0.015999623 |
||
Inverse Variance Weighted |
29 |
0.050720295 |
0.022889121 |
0.026697476 |
图3. COVID-19与月经相关激素的孟德尔随机化分析散点图
新型冠状病毒的传播极大地改变了人们的生活方式,给人们的健康造成了不可估量的危害。这种危害不仅反映在呼吸道症状上,还包括其他系统的许多其他潜在变化
COVID-19对女性生殖系统健康的影响引起了众多学者的关注
MR利用受孕时基因变异的随机分配,独立于混杂因素,来识别混淆程度较低且不易发生反向因果关系的因果效应
鉴于多次临床回顾性观察,发现COVID-19与月经周期改变存在相关性。我们进一步对COVID-19与月经相关激素的因果关系进行TSMR分析,发现COVID-19与雌二醇和前列腺素E2之间存在负相关因果关系。这表明COVID-19可能会影响雌二醇和前列腺素E2的分泌,进一步导致阴道不规则出血。但这只能部分解释COVID-19引起的阴道不规则出血。有证据表明,新型冠状病毒可引起宿主免疫失调,影响HPO轴,导致下丘脑性腺功能减退,引起暂时性闭经。更重要的是,COVID-19还可能通过引起凝血功能障碍导致月经大量出血
除了COVID-19感染引起的宿主病理生理变化导致阴道不规则出血外,医源性因素也是AUB的因素之一。一些用于治疗COVID-19早期症状的常见抗病毒药物含有细胞色素P450抑制剂(例如利托那韦)。因COVID-19住院的患者在治疗期间经常给予地塞米松,内源性糖皮质激素已被证明可抑制子宫内膜血管生成
新冠肺炎病毒感染作为一个持续了3年的全球大流行感染,社会环境的巨变同样可能引起月经周期的改变。月经周期正常通常被视为女性生殖健康的外在标志,COVID-19病毒引起的月经紊乱和阴道不规则出血在大流行期间增加了女性的焦虑
虽然与观察性研究相比,孟德尔随机化分析减少了混杂因素,但仍有不足和缺陷。首先,我们的结果是基于欧洲人群的遗传数据,这限制了外推到其他人群的可能性。其次,由于SNPs不足,一些与月经有关的因素,如孕激素和GnRH,未纳入MR分析。
不同程度的新冠肺炎感染增加了女性月经大出血、子宫息肉甚至子宫内膜恶性肿瘤的风险,但与不明原因的异常子宫出血、月经不规则和月经频繁、绝经后阴道出血、宫颈息肉、子宫肌瘤及子宫腺肌病之间不存在因果关系。新冠肺炎感染同样会导致女性雌二醇及前列腺素E2水平降低,但并不会对LH、FSH、泌乳素、睾酮造成影响。
*通讯作者。