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.

项目概要 化脓性汗腺炎 (HS) 是一种未被充分认识的常见免疫介导皮肤病，其特征是 由腹股沟、臀部和腋窝的炎性结节、脓肿和窦道导致毁灭性的 身体和情绪的发病率。热射病患者表现出全身炎症，并伴有合并症风险增加 心脏代谢疾病等疾病。在此应用中，我们使用单细胞技术和新颖的 生物信息和机器学习方法来识别循环免疫中失调的途径 HS 患者系统。这项研究将增进我们对 HS 免疫生物学的了解，并发现新的 可以作为治疗目标的生物途径。