精密医学
个性化医疗
硬皮病(真菌)
医学
危险分层
临床试验
基因表达谱
生物信息学
疾病
计算生物学
重症监护医学
基因表达
内科学
基因
病理
生物
遗传学
接种
作者
Devis Benfaremo,Silvia Agarbati,Matteo Mozzicafreddo,Chiara Paolini,Silvia Svegliati,Gianluca Moroncini
标识
DOI:10.3390/ijms241612548
摘要
Systemic sclerosis, also known as scleroderma or SSc, is a condition characterized by significant heterogeneity in clinical presentation, disease progression, and response to treatment. Consequently, the design of clinical trials to successfully identify effective therapeutic interventions poses a major challenge. Recent advancements in skin molecular profiling technologies and stratification techniques have enabled the identification of patient subgroups that may be relevant for personalized treatment approaches. This narrative review aims at providing an overview of the current status of skin gene expression analysis using computational biology approaches and highlights the benefits of stratifying patients upon their skin gene signatures. Such stratification has the potential to lead toward a precision medicine approach in the management of SSc.
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