Dataset Information

Differentiation Defect Repositions Sebaceous Glands as Instigators in the Early Pathogenesis of Hidradenitis Suppurativa

ABSTRACT:

The role of sebaceous glands (SGs) in the early pathogenesis of hidradenitis suppurativa (HS) is undefined, with unclear causal relationship to inflammatory sequelae. The aim of this study was to determine whether SG aberrations constitute a primary pathogenic driver in early HS and elucidate the underlying mechanism. Histological study, single-cell RNA sequencing (scRNA-seq), and in vitro functional assays were employed. Clinical specimens included non-lesional skin, early lesional skin from patients diagnosed with Hurley I HS, and healthy controls. Human SZ95 sebocytes were used for mechanistic studies, including gene knockdown with lentivirus, bulk RNA sequencing, and liquid chromatography-tandem mass spectrometry based lipidomic analysis.

The size of SG was significantly reduced in HS patients. Development aberration and significant downregulation of tight junction signaling (e.g., TJP1, OCLN, CLDN1) in HS SGs were revealed by scRNA-seq, associated with compromised barrier integrity and early CD45+ immune cell infiltration. Knockdown of CLDN1 in human SZ95 sebocytes recapitulated these findings, inducing a robust pro-inflammatory response and a shift toward keratinocyte-like lineage accompanied by metabolic reprogramming, specifically overproduction of lysophosphatidylcholine (LPC). Exogenous LPC directly promoted proliferation and inflammatory cytokine secretion in HaCaT keratinocytes. Collectively, these findings reposition SGs as instigators in the early pathogenesis of HS.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse-phase, Liquid Chromatography MS - positive - reverse-phase

PROVIDER: MTBLS13578 | MetaboLights | 2025-12-28

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	a_MTBLS13578_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS13578_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13578_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS13578_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular

Items per page:

1 - 5 of 6

Similar Datasets

Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies. Figure 4c, obtained from the simulation of human colitis model is highlighted here. This model is described in the article: Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9 Abstract: Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease. This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.

Project description:Background Hidradenitis suppurativa (HS), psoriasis (PsO) and atopic dermatitis (AD) are inflammatory skin diseases which, despite sharing some immunological pathways, have unique disease pathogenesis and distinct pathology. For example, Th17 cells are central to PsO pathogenesis and have also been implicated in HS inflammation. AD, on the other hand, is classically referred to as a Th2-mediated disease, however incidence of AD is twice as likely in HS patients compared with healthy individuals, demonstrating an association between HS and AD. Objective To date the transcriptomics of HS, PsO and AD have not been directly compared. Therefore this study aimed to evaluate the transcriptomic differences between HS, PsO and AD lesions to identify a biological signature that defines HS inflammation. Methods Bulk RNA sequencing was performed on 19 healthy controls, 15 HS, 21 PsO and 15 AD lesional skin samples. Results Principal component analysis (PCA) identified a distinct transcriptome in HS lesions compared with healthy control skin, with increased expression of inflammatory mediators and more active inflammatory pathways including TNF, IL-17 and B cell signalling pathways. PsO lesions were defined by a strong IL-17 signature and while an IL-17 signature existed in HS lesions, HS was distinguished from PsO lesions by a unique B cell signature. When compared to AD lesions, HS lesions had a more complex inflammatory profile involving TNF, B cell and NLR signalling while AD lesions had high expression of Th2-associated genes. Weighted gene co-expression analysis suggested T cell signalling and epidermal development are important characteristics of PsO lesions while HS lesions can be defined by complement activation, B cell signalling and fibroblast-associated pathways indicating the potential for scarring in HS. Cell type deconvolution identified an enrichment of keratinocytes and T cells in PsO, Th2 cells in AD and B cells and plasma cells in HS. Finally, gene expression analysis identified increased expression of B cell, plasma cell and immunoglobulin-associated genes in HS lesions relative to healthy control skin, PsO and AD lesions. Conclusion These data suggest that HS pathogenesis is more complex than AD or PsO and highlights an important role of B and plasma cells in HS inflammation.

Dataset Information

Differentiation Defect Repositions Sebaceous Glands as Instigators in the Early Pathogenesis of Hidradenitis Suppurativa

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets