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雄激素性脱发与血尿酸的因果关系:双向孟德尔随机分析。

The causal relationship between androgenetic alopecia and serum uric acid: A bidirectional Mendelian randomization analysis.

机构信息

Department of Dermatovenereology, Tianjin Medical University General Hospital/ Tianjin Institute of Sexually Transmitted Disease, Tianjin, China.

Department of general surgery, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

Skin Res Technol. 2024 Aug;30(8):e13912. doi: 10.1111/srt.13912.

Abstract

BACKGROUND

Despite numerous studies investigating the association between androgenetic alopecia (AGA) and serum uric acid (SUA), the causal relationship between AGA and SUA remains unknown.

METHODS

We utilized bidirectional Mendelian randomization (MR) to explore the causality between AGA and SUA. Our study chose single nucleotide polymorphisms associated with genome-wide significance (p < 5×10) for the exposure and showing low linkage disequilibrium (R < 0.001) as IVs. Various MR methods were employed to evaluate causality, including inverse-variance weighted (IVW), Weighted Median, MR-Egger, Weighted Mode and Simple Mode. Sensitivity analyses were performed to test the robustness of the results.

RESULTS

Using the IVW method, we did not find a significant causal relationship between AGA and SUA (OR = 1.00, 95% CI 0.99-1.01; p = 0.451). Similarly, the IVW method did not reveal evidence of causality between SUA and AGA (OR = 0.97, 95% CI = 0.91-1.03; p = 0.301). The results from other methods were consistent with those of the IVW approach.

CONCLUSION

The study did not identify a causal relationship between AGA and SUA. Future research should involve larger cohorts and advanced methods to validate the findings and explore the complex interactions between AGA and SUA levels in different populations.

摘要

背景

尽管有大量研究探讨雄激素性脱发(AGA)与血清尿酸(SUA)之间的关系,但 AGA 与 SUA 之间的因果关系仍不清楚。

方法

我们利用双向孟德尔随机化(MR)来探讨 AGA 与 SUA 之间的因果关系。我们的研究选择了与全基因组显著相关(p<5×10)的暴露相关的单核苷酸多态性,并显示出低连锁不平衡(R<0.001)作为 IVs。采用多种 MR 方法来评估因果关系,包括逆方差加权(IVW)、加权中位数、MR-Egger、加权模式和简单模式。进行敏感性分析以测试结果的稳健性。

结果

使用 IVW 方法,我们没有发现 AGA 和 SUA 之间存在显著的因果关系(OR=1.00,95%CI 0.99-1.01;p=0.451)。同样,IVW 方法也没有发现 SUA 和 AGA 之间存在因果关系的证据(OR=0.97,95%CI=0.91-1.03;p=0.301)。其他方法的结果与 IVW 方法一致。

结论

本研究未发现 AGA 和 SUA 之间存在因果关系。未来的研究应涉及更大的队列和先进的方法,以验证这些发现,并探讨不同人群中 AGA 和 SUA 水平之间的复杂相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/901b/11322824/a1574d48dd67/SRT-30-e13912-g004.jpg

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