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

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2022 · $78,651

## Abstract

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.

## Key facts

- **NIH application ID:** 10612581
- **Project number:** 3R01AR078688-02S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Wilson Liao
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $78,651
- **Award type:** 3
- **Project period:** 2021-07-16 → 2026-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10612581

## Citation

> US National Institutes of Health, RePORTER application 10612581, Elucidating Systemic Inflammation in Hidradenitis Suppurativa using Single Cell Omics and Machine Learning (3R01AR078688-02S1). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10612581. Licensed CC0.

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