Unveiling the Molecular Mechanisms of Rosacea: Insights From Transcriptomics and In Vitro Experiments

揭示红斑痤疮的分子机制:来自转录组学和体外实验的见解

阅读:8
作者:Luzhu Chen, Juan Wang

Aims

This study aims to investigate the molecular mechanisms underlying rosacea and explore drug response through transcriptomic analysis and in vitro experiments. Patients/

Background

Rosacea is a prevalent inflammatory skin condition, but its molecular mechanisms and treatment responses remain poorly understood. Aims: This study aims to investigate the molecular mechanisms underlying rosacea and explore drug response through transcriptomic analysis and in vitro experiments. Patients/

Conclusions

Our study elucidates the molecular mechanisms of rosacea, highlighting the role of inflammatory pathways and altered cell behavior in the disease. TLR2 and S100A9 may contribute to disease progression, offering potential targets for future therapeutic strategies.

Methods

We performed high-throughput RNA sequencing to analyze gene expression patterns in rosacea patients. In vitro experiments, including RT-qPCR, Western blot, ELISA, scratch, and Transwell assays, were used to evaluate gene and protein expression and cell behavior in HaCaT cells under simulated rosacea conditions.

Results

Transcriptomic analysis revealed significantly elevated expression of inflammatory-related genes in rosacea patients. In vitro, HaCaT cells exhibited enhanced proliferation and migration abilities, accompanied by increased expression of pro-inflammatory genes and proteins. Specifically, Toll-like receptor 2 (TLR2) and S100A9 proteins were upregulated, potentially promoting these processes. Conclusions: Our study elucidates the molecular mechanisms of rosacea, highlighting the role of inflammatory pathways and altered cell behavior in the disease. TLR2 and S100A9 may contribute to disease progression, offering potential targets for future therapeutic strategies.

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。