Investigation of the Causal Association Between Treg Cells and Actinic Keratosis Through Two-Sample Mendelian Randomization Analysis

通过双样本孟德尔随机化分析研究 Treg 细胞与日光性角化病之间的因果关系

阅读:2

Abstract

PURPOSE: Actinic keratosis is a highly prevalent precancerous skin condition and a major risk factor for cutaneous squamous cell carcinoma with a significant risk of malignant transformation. Despite its clinical importance, the causal role of immune factors, especially regulatory T (Treg) cells, in actinic keratosis pathogenesis remains unclear. A two-sample Mendelian Randomization (MR) approach was employed to investigate the potential causal link between distinct characteristics of Treg cells and the likelihood of developing actinic keratosis. PATIENTS AND METHODS: The analysis utilized publicly available genetic data on 167 Treg cell traits and actinic keratosis risk. The Inverse Variance Weighted (IVW) method was the primary analytical approach, supported by MR-Egger, weighted median, and weighted mode analyses. Sensitivity of the findings was assessed through Cochran's Q test, MR-Egger analysis, the MR pleiotropy residual sum and outlier (MR-PRESSO) test, and leave-one-out tests. RESULTS: The IVW analysis revealed a significant association between resting Treg cell activity and actinic keratosis (OR: 0.9997, p = 0.0420). Additional significant associations included CD39+ resting Treg percentage of CD4 Tregs (OR: 0.9998, p = 0.0123), CD28- double negative (DN) Treg percentage (OR: 0.9995, p = 0.0359), and CD28+ CD45RA- CD8dim Tregs (OR: 1.0002, p = 0.0312). No significant associations were found in supplementary analyses, but sensitivity tests confirmed the reliability of the results. CONCLUSION: This study suggests a potential causal relationship between certain Treg cell traits and the risk of actinic keratosis, indicating that further research is needed to clarify the underlying mechanisms of this association.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。