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Immunopathogenesis of hidradenitis suppurativa and response to anti–TNF-α therapy
Margaret M. Lowe, … , Scott L. Hansen, Michael D. Rosenblum
Margaret M. Lowe, … , Scott L. Hansen, Michael D. Rosenblum
Published August 25, 2020
Citation Information: JCI Insight. 2020;5(19):e139932. https://doi.org/10.1172/jci.insight.139932.
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Research Article Dermatology Immunology

Immunopathogenesis of hidradenitis suppurativa and response to anti–TNF-α therapy

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Abstract

Hidradenitis suppurativa (HS) is a highly prevalent, morbid inflammatory skin disease with limited treatment options. The major cell types and inflammatory pathways in skin of patients with HS are poorly understood, and which patients will respond to TNF-α blockade is currently unknown. We discovered that clinically and histologically healthy appearing skin (i.e., nonlesional skin) is dysfunctional in patients with HS with a relative loss of immune regulatory pathways. HS skin lesions were characterized by quantitative and qualitative dysfunction of type 2 conventional dendritic cells, relatively reduced regulatory T cells, an influx of memory B cells, and a plasma cell/plasmablast infiltrate predominantly in end-stage fibrotic skin. At the molecular level, there was a relative bias toward the IL-1 pathway and type 1 T cell responses when compared with both healthy skin and psoriatic patient skin. Anti–TNF-α therapy markedly attenuated B cell activation with minimal effect on other inflammatory pathways. Finally, we identified an immune activation signature in skin before anti–TNF-α treatment that correlated with subsequent lack of response to this modality. Our results reveal the fundamental immunopathogenesis of HS and provide a molecular foundation for future studies focused on stratifying patients based on likelihood of clinical response to TNF-α blockade.

Authors

Margaret M. Lowe, Haley B. Naik, Sean Clancy, Mariela Pauli, Kathleen M. Smith, Yingtao Bi, Robert Dunstan, Johann E. Gudjonsson, Maia Paul, Hobart Harris, Esther Kim, Uk Sok Shin, Richard Ahn, Wilson Liao, Scott L. Hansen, Michael D. Rosenblum

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Figure 6

Type 1 T cell responses are dominant in HS skin.

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Type 1 T cell responses are dominant in HS skin.
(A) Flow cytometric qua...
(A) Flow cytometric quantification of Treg percentages within the CD4+ T cell compartment within lesional (n = 14) and nonlesional skin (n = 8) of patients with HS before anti–TNF-α treatment compared with healthy controls (n = 7) and lesional skin from patients with psoriasis (n = 7). (B) Flow cytometric quantification of ratios of CD4+ Th1 cells to Tregs of patients described in A. (C) Flow cytometric quantification of IFN-γ production within the CD8+ T cell compartment of patients described in A. (D) Flow cytometric quantification of IFN-γ production within the CD4+ Tcon compartment of patients described in A. (E) Flow cytometric quantification of IL-17A production within the CD8+ T cell compartment of patients described in A. (F) Flow cytometric quantification of IL-17A production within the CD4+ Tcon compartment of patients described in A. (G) Flow cytometric quantification of TNF-α production within the CD8+ T cell compartment of patients described in A. (H) Flow cytometric analysis of TNF-α production within the CD4+ Tcon compartment of patients described in A. (I) UMAP plots of CD3+ T cells immunophenotyped by CyTOF illustrating intensity of T-bet expression. Cells were pregated on live, singlet, CD45+CD3+ events and represent 34,432 cells from 7 healthy donors, 75,400 cells from 5 active inflammatory HS lesions, and 21,557 cells from 5 end-stage HS surgical resections. Percentage of T-bet+ events within CD4+ and CD8+ T cells. Data were manually gated for 14 healthy donors, 12 active inflammatory HS lesions, and 18 end-stage surgical resections. (J) UMAP plots of scRNA-Seq data of all cells obtained from a myeloid-enriching sort from 2 end-stage HS skin donors versus 2 healthy controls. Intensity of expression of IFN-γ, IL-17A, and TNF-α in all populations is depicted in each plot. (*P < 0.05, **P < 0.01, ***P < 0.005, ****P < 0.001, 1-way ANOVA.)

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