ゲノムワイド関連解析とマルチオミクスデータを統合した肥厚性瘢痕の分子メカニズムの解明と治療法の最適化に関する研究
Zhanyi Zhang1, Jiaqi Lian1, Zhiyun Zhang1
1Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, Jilin Province 130000, China.
Background:
Hypertrophic scar (HS) represents a skin fibroproliferative disease characterized by a high incidence, frequent recurrence, and limited treatment options. Thus, identifying new targets to optimize the treatment of HS is of critical importance.
Methods:
Using summary statistics from the eQTLGen Consortium, Decode database, and FinnGen cohort, we conducted transcriptome-wide and proteome-wide Mendelian randomization (MR) to discover potential pharmacological targets against HS, with subsequent validation via RNA sequencing. Upstream regulators and downstream mechanisms were further investigated to better understand the roles of the pathogenic gene. Drug prediction, molecular docking, and molecular dynamics (MD) simulation were employed to estimate the value of potential drugs for HS.
Results:
A high level of fibroblast growth factor receptor 1 (FGFR1) significantly increased the risk of HS according to transcriptome-wide (P = 0.011) and proteome-wide MR (P = 0.002) analyses. RNA-seq further validated the high expression of FGFR1 in HS. Gene-gene interaction network and enrichment analysis identified FGFR1 as the core gene driving the progression of HS, highlighting multiple biosynthetic processes. Pharmacological evaluation of candidate drugs predicted stable binding between Ro-4396686 and FGFR1.
Conclusions:
Our findings suggest that FGFR1 can serve as promising target for optimizing HS treatments, potentially reducing the costs of drug development.
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