Insights from immunomics and metabolomics on the associations between prostatic diseases and coronavirus disease 2019

IF 2.7 2区 医学 Q2 UROLOGY & NEPHROLOGY
Feixiang Yang , Peng Guo , Kun Wang , Xiangyu Zhang , Zhehao Hu , Qiyue Lou , Qintao Ge , Yiding Chen , Chaozhao Liang , Jialin Meng
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引用次数: 0

Abstract

Background

The causal associations and potential mechanisms between prostatic diseases, the predominant male urological disorders, and the course of COVID-19 remain unclear.

Methods

A two-sample Mendelian randomization (MR) analysis was performed to evaluate causal associations between prostate cancer, benign prostatic hyperplasia, and prostatitis and different COVID-19 outcomes (SARS-CoV-2 infection, hospitalized COVID-19, and severe COVID-19). Reverse MR, linkage disequilibrium score regression, and Bayesian colocalization analyses were subsequently performed to strengthen the identified causal relationships. Furthermore, immunome- and metabolome-wide MR analysis was conducted to prioritize COVID-19-associated immune characteristics and metabolites. Two-step MR analysis was performed to evaluate the mediating effects of the immunome and metabolome on the associations between prostatic diseases and COVID-19.

Results

Genetically predicted prostatic diseases were not causally associated with severe COVID-19, while prostatitis was suggested to be an independent risk factor for SARS-CoV-2 infection (odds ratio (OR) = 1.11, 95% confidence interval (CI) 1.01 to 1.23; P = 0.03). Multiple sensitivity tests verified the reliability of the established causal relationships. Dozens of blood immune and metabolic features were identified to reveal the immune and metabolic profiles of different COVID-19 courses. Moreover, PDL-1 on monocyte was found to mediate the interaction between prostatitis and SARS-CoV-2 infection, with a mediation proportion of 9.2%.

Conclusion

Our study identified the causal relationships of prostatic diseases with COVID-19 and suggested pathways explaining these associations through alterations in the blood immunome and metabolome.

Abstract Image

免疫组学和代谢组学揭示前列腺疾病与 COVID-19 的关系
方法 采用双样本孟德尔随机化(MR)分析评估前列腺癌、良性前列腺增生和前列腺炎与 COVID-19 不同结果(SARS-CoV-2 感染、住院 COVID-19 和严重 COVID-19)之间的因果关系。随后进行了反向 MR、连锁不平衡得分回归和贝叶斯共线分析,以加强已确定的因果关系。此外,还进行了免疫组和代谢组范围的 MR 分析,以优先确定与 COVID-19 相关的免疫特征和代谢物。结果遗传学预测的前列腺疾病与严重的 COVID-19 没有因果关系,而前列腺炎被认为是 SARS-CoV-2 感染的独立风险因素(比值比 (OR) = 1.11,95% 置信区间 (CI) 1.01 至 1.23;P = 0.03)。多重敏感性测试验证了所建立的因果关系的可靠性。数十种血液免疫和代谢特征的鉴定揭示了不同 COVID-19 病程的免疫和代谢特征。结论我们的研究确定了前列腺疾病与 COVID-19 的因果关系,并通过血液免疫组和代谢组的改变提出了解释这些关联的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Prostate International
Prostate International Medicine-Urology
CiteScore
4.40
自引率
26.70%
发文量
40
审稿时长
35 days
期刊介绍: Prostate International (Prostate Int, PI), the official English-language journal of Asian Pacific Prostate Society (APPS), is an international peer-reviewed academic journal dedicated to basic and clinical studies on prostate cancer, benign prostatic hyperplasia, prostatitis, and ...
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