Scholarlink

Background <p>Data from observational and clinical studies indicate an association between skin microbiota and hidradenitis suppurativa (HS). However, the causal relationship between skin microbiota and HS remains to be elucidated.</p> Methods <p>We obtained data on skin microbiota and HS from summary statistics of genome-wide association studies and applied Mendelian randomization (MR) statistical methods to assess causality. Specifically, we employed both full MR and inverse MR methods, utilizing five statistical approaches, including inverse variance weighting, to evaluate causality. Furthermore, sensitivity analyses were conducted to validate the MR findings.</p> Results <p>Inverse variance weighted analysis revealed that the order <i>Burkholderiales</i> (OR = 0.922, 95% CI 0.855–0.994, P = 0.033), the genus <i>Enhydrobacter</i> (OR = 0.897, 95% CI 0.815–0.986, P = 0.025), ASV037 (OR = 0.926, 95% CI 0.863–0.995, P = 0.036), and ASV016 (OR = 0.932, 95% CI 0.870–0.998, P = 0.043) exhibited a protective effect against HS. Conversely, ASV022 (OR = 1.098, 95% CI 1.027–1.175, P = 0.007) was identified as a risk factor.</p> Conclusion <p>Our analysis suggests a possible causal relationship between specific skin microbiota and HS. These findings shed light on the potential pathogenesis and therapeutic interventions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Causal relationship between skin microbiota and Hidradenitis suppurativa: a two-sample Mendelian randomization study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月13日

查看全文
  • Siqing Guo,
  • Peihong Li,
  • Jingen Lu,
  • Pengfei Zhou,
  • Boyun Sun,
  • Jiawen Wang

摘要

Background

Data from observational and clinical studies indicate an association between skin microbiota and hidradenitis suppurativa (HS). However, the causal relationship between skin microbiota and HS remains to be elucidated.

Methods

We obtained data on skin microbiota and HS from summary statistics of genome-wide association studies and applied Mendelian randomization (MR) statistical methods to assess causality. Specifically, we employed both full MR and inverse MR methods, utilizing five statistical approaches, including inverse variance weighting, to evaluate causality. Furthermore, sensitivity analyses were conducted to validate the MR findings.

Results

Inverse variance weighted analysis revealed that the order Burkholderiales (OR = 0.922, 95% CI 0.855–0.994, P = 0.033), the genus Enhydrobacter (OR = 0.897, 95% CI 0.815–0.986, P = 0.025), ASV037 (OR = 0.926, 95% CI 0.863–0.995, P = 0.036), and ASV016 (OR = 0.932, 95% CI 0.870–0.998, P = 0.043) exhibited a protective effect against HS. Conversely, ASV022 (OR = 1.098, 95% CI 1.027–1.175, P = 0.007) was identified as a risk factor.

Conclusion

Our analysis suggests a possible causal relationship between specific skin microbiota and HS. These findings shed light on the potential pathogenesis and therapeutic interventions.