Alexander Schäbitz

ORCID: 0000-0003-0945-7683
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About
Contact & Profiles
Research Areas
  • Dermatology and Skin Diseases
  • Psoriasis: Treatment and Pathogenesis
  • T-cell and B-cell Immunology
  • IL-33, ST2, and ILC Pathways
  • Contact Dermatitis and Allergies
  • thermodynamics and calorimetric analyses
  • Computational Drug Discovery Methods
  • Asthma and respiratory diseases
  • bioluminescence and chemiluminescence research
  • Immunotherapy and Immune Responses
  • Immune Cell Function and Interaction
  • Allergic Rhinitis and Sensitization

Karolinska Institutet
2020-2024

Technical University of Munich
2020-2024

Abundant heterogeneous immune cells infiltrate lesions in chronic inflammatory diseases and characterization of these is needed to distinguish disease-promoting from bystander cells. Here, we investigate the landscape non-communicable skin (ncISD) by spatial transcriptomics resulting a large repository 62,000 spatially defined human cutaneous transcriptomes 31 patients. Despite expected cell infiltration, observe rather low numbers pathogenic disease promoting cytokine transcripts (IFNG,...

10.1038/s41467-022-35319-w article EN cc-by Nature Communications 2022-12-13

Sebaceous glands drive acne, however, their role in other inflammatory skin diseases remains unclear. To shed light on potential contribution to disease development, we investigated the spatial transcriptome of sebaceous psoriasis and atopic dermatitis patients across lesional non-lesional human samples. Both expressed genes encoding key proteins for lipid metabolism transport such as ALOX15B, APOC1, FABP7, FADS1/2, FASN, PPARG , RARRES1. Also, inflammation-related SAA1 was identified a...

10.3389/fimmu.2024.1334844 article EN cc-by Frontiers in Immunology 2024-02-16

Abstract Chronic inflammatory diseases are characterized by complex interactions between genetic predisposition and tissue-specific immune responses. This heterogeneity complicates diagnoses the ability to exploit omics approaches improve disease management, develop more effective therapeutics, apply precision medicine. Using skin inflammation as a model, we developed method that integrates deep clinical phenotyping information (phenomics) with transcriptome data of lesional non-lesional...

10.1101/2020.07.25.221309 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-07-26

Abstract Abundant polyclonal T cells infiltrate chronic inflammatory diseases and characterization of these is needed to distinguish disease-driving from bystander immune cells. Here, we investigated 52,000 human cutaneous transcriptomes non-communicable skin (ncISD) using spatial transcriptomics. Despite the expected cell infiltration, observed only 1-10 pathogenic cytokine per section. Cytokine expression was limited lesional presented in a disease-specific pattern. In fact, identified...

10.1101/2021.06.10.447894 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-06-10
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