Evidence map›Paper›PMID 39778115›Full record

ArticleThe British journal of dermatology2025

High-throughput proteomics identifies inflammatory proteins associated with disease severity and genetic ancestry in patients with hidradenitis suppurativa.

Peter M Dimitrion, Rachel Krevh, Jesse Veenstra, James Ge, Aamir Siddiqui, Deangelo Ferguson, Aakash Hans, Bobby Zuniga, Kermanjot Sidhu, Steven Daveluy and 4 more

Abstract read
In one paragraph

Article in The British journal of dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Peter M DimitrionCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-5648-5962
Rachel KrevhCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-8861-7640
Jesse VeenstraCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-3576-855X
James GeCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0009-0005-5389-134X
Aamir SiddiquiDepartment of Plastic Surgery, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0003-2086-5418
Deangelo FergusonDepartment of Plastic Surgery, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0001-7095-1555
Aakash HansCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0003-0761-8551
Bobby ZunigaCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0001-5699-4671
Kermanjot SidhuCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0009-0009-7618-4567
Steven DaveluyDepartment of Dermatology, Wayne State University, Detroit, MI, USA.ORCID 0000-0002-6951-2894
Iltefat HamzaviCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-3137-5601
Li ZhouCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-7028-3865
Indra AdriantoCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-9973-3057
Qing-Sheng MiCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, MI, USA.ORCID 0000-0002-1411-6827

Funding

Using whole-exome sequencing to uncover key genetic variants related to Hidradenitis Suppurativa risk in African American and Hispanic population.R01AR078688 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON, MI, QING-SHENG · 2021 to 2025
$4.1M
Whole genome sequencing analysis of hidradenitis suppurativaR01AR083553 · NIAMS · HENRY FORD HEALTH + MICHIGAN STATE UNIVERSITY HEALTH SCIENCES · PI Indra Adrianto, QING-SHENG MI · 2024 to 2026
$2.2M
Genetic risk of hidradenitis suppurativa in African AmericansR21AR079089 · NIAMS · HENRY FORD HEALTH SYSTEM · PI ADRIANTO, INDRA, MI, QING-SHENG · 2022 to 2023
$520k
Uncover the new subsets of epidermal Langerhans cellsR33AR076803 · NIAMS · HENRY FORD HEALTH SYSTEM · PI ADRIANTO, INDRA, MI, QING-SHENG · 2021 to 2021
$380k
Henry Ford Immunology Research Program T71016Henry Ford Immunology Research Program T71017NIAMS NIH HHS R01 AR078688NIAMS NIH HHS R01 AR083553NIAMS NIH HHS R21 AR079089NIAMS NIH HHS R33 AR076803NIH HHS R01AR078688NIH HHS R01AR083553NIH HHS R21AR079089NIH HHS R33AR076803
6 · The paper itself

Abstract

backgroundHidradenitis suppurativa (HS) is a chronic inflammatory skin condition with a greater prevalence and disease burden in patients who identify as African American and those with a family history of HS, suggesting a strong genetic component to its pathogenesis.

objectivesTo evaluate the relationship between plasma inflammatory protein expression, HS disease severity and genetic ancestry in a diverse cohort of patients with HS.

methodsWe performed a case-control, single-centre study of patients with HS and age-, sex- and ethnicity-matched healthy control participants. We profiled circulating inflammatory proteins using Olink® high-throughput proteomics and determined genetic ancestry from whole-genome sequencing data.

resultsUsing linear regression, we identified novel proteins associated with HS, after adjusting for age, sex and ethnicity. Our analysis also revealed differences in the inflammatory proteome linked to disease severity. Specifically, we found that plasma levels of interleukin (IL)-6 can distinguish between different Hurley stages, indicating that IL-6 may serve as a marker of disease severity. Additionally, we found variations in inflammatory protein levels based on genetic ancestry: patients with predominantly African ancestry exhibited higher levels of inflammatory proteins associated with neutrophilic inflammation, while those with predominantly European ancestry showed increased levels of T helper 1-related inflammatory proteins.

conclusionsAlthough we were unable to account for treatment status or comorbidities that may influence the level of inflammatory cytokines, genetic ancestry and disease severity may influence the plasma inflammatory profile in patients with HS.

Indexed as

Hidradenitis SuppurativaAdultBiomarkersBlack or African AmericanCase-Control StudiesFemaleHumansInterleukin-6MaleMiddle AgedProteomicsSeverity of Illness IndexWhiteYoung AdultBiomarkersIL6 protein, humanInterleukin-6

Identifiers

PMID39778115
PMCPMC12086696

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.