Department of Surgery, First People's Hospital of Kunming City & Calmette Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Graduate School, Kunming Medical University, Kunming, China.
Front Immunol. 2024 Sep 25;15:1463309. doi: 10.3389/fimmu.2024.1463309. eCollection 2024.
Despite relevant research, the relationship between skin microbiomes and prostate cancer remains controversial. This study utilizes bidirectional Mendelian randomization (MR) analysis combined with meta-analysis to explore the potential link between the two.
This study aims to identify the causal relationship between 150 skin microbiomes and prostate cancer (PCa) using bidirectional Mendelian randomization (MR) and meta-analysis.
This study employed a comprehensive Bidirectional Two-sample MR analysis using publicly available genetic data to ascertain the relationship between 150 skin microbiomes and PCa. We conducted extensive sensitivity analyses, tests for heterogeneity, and assessments of horizontal pleiotropy to ensure the accuracy of our results. Subsequently, we conducted a meta-analysis to strengthen our conclusions' robustness further. Finally, we performed reverse causal verification on the positive skin microbiomes and PCa.
After conducting a meta-analysis and multiple corrections of the MR analysis results, our findings reveal a correlation between Neisseria in dry skin and PCa risk, identifying it as a risk factor. The IVW result shows an of 1.009 (95% : 1.004-1.014, = 0.027). Furthermore, the reverse MR analysis indicates the absence of an inverse causal relationship between the two. Apart from the identified skin microbiome, no significant associations were found between the other microbiomes and PCa.
The study identified a correlation between Neisseria in dry skin, one of the 150 skin microbiomes, and the risk of developing PCa, establishing it as a risk factor for increased susceptibility to PCa.
尽管已有相关研究，但皮肤微生物组与前列腺癌之间的关系仍存在争议。本研究采用双向孟德尔随机化（MR）分析结合荟萃分析来探讨两者之间的潜在联系。
本研究旨在通过双向孟德尔随机化（MR）和荟萃分析，确定 150 种皮肤微生物组与前列腺癌（PCa）之间的因果关系。
本研究采用综合双向两样本 MR 分析，利用公开的遗传数据来确定 150 种皮肤微生物组与 PCa 之间的关系。我们进行了广泛的敏感性分析、异质性检验和水平多效性评估，以确保结果的准确性。随后，我们进行了荟萃分析，以进一步加强我们结论的稳健性。最后，我们对阳性皮肤微生物组和 PCa 进行了反向因果验证。
在进行荟萃分析和多次修正 MR 分析结果后，我们的研究结果表明，干燥皮肤中的奈瑟菌与 PCa 风险之间存在相关性，将其确定为一个危险因素。IVW 结果显示，比值比（OR）为 1.009（95%置信区间[CI]：1.004-1.014，P=0.027）。此外，反向 MR 分析表明两者之间不存在反向因果关系。除了已识别的皮肤微生物组外，其他微生物组与 PCa 之间没有显著关联。
本研究确定了干燥皮肤中的奈瑟菌与前列腺癌风险之间的相关性，将其确定为增加前列腺癌易感性的危险因素。
