Elucidating Systemic Inflammation in Hidradenitis Suppurativa using Single Cell Omics and Machine Learning

使用单细胞组学和机器学习阐明化脓性汗腺炎的全身炎症

• 批准号: 10612581
• 负责人: Wilson Liao
• 金额: $ 7.87万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-16 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10612581
• 关键词: Abscess; Bioinformatics; Biological; Biological Markers; Buttocks; Cardiometabolic Disease; Cells; Emotional; Hidradenitis Suppurativa; Immune; Immune system; Immunobiology; Immunologic Markers; Inflammatory; Inguinal region; Knowledge; Machine Learning; Mediating; Methods; Morbidity - disease rate; Nodule; Pathway interactions; Patients; Risk; Sinus; comorbidity; effective therapy; machine learning method; novel; single cell technology; skin disorder; systemic inflammatory response; therapeutic target

Project Summary Hidradenitis suppurativa (HS) is an underrecognized common, immune-mediated skin disease characterized by inflammatory nodules, abscesses, and sinus tracts in the groin, buttocks, and axillae leading to devasting physical and emotional morbidity. Patients with HS display systemic inflammation with increased risk of co- morbidities such as cardiometabolic disease. In this application, we use single cell technology and novel bioinformatic and machine learning methods to identify dysregulated pathways in the circulating immune system of HS patients. This study will advance our knowledge of the immunobiology of HS and identify new biologic pathways that can be therapeutically targeted.

项目摘要 化脓性汗管炎(HS)是一种未被充分认识的常见免疫调节皮肤病 腹股沟、臀部和腋窝的炎性结节、脓肿和窦道导致吞噬 身体和情绪上的病态。HS患者表现为全身性炎症，合并COP的风险增加。 心脏代谢性疾病等疾病。在这一应用中，我们使用了单电池技术和新颖的 识别循环免疫失调途径的生物信息学和机器学习方法 HS患者系统。这项研究将增进我们对HS免疫生物学的认识，并发现新的 可以作为治疗靶点的生物途径。