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Spatial transcriptomics stratifies psoriatic disease severity by emergent cellular ecosystems.
Castillo, Rochelle L; Sidhu, Ikjot; Dolgalev, Igor; Chu, Tinyi; Prystupa, Aleksandr; Subudhi, Ipsita; Yan, Di; Konieczny, Piotr; Hsieh, Brandon; Haberman, Rebecca H; Selvaraj, Shanmugapriya; Shiomi, Tomoe; Medina, Rhina; Girija, Parvathy Vasudevanpillai; Heguy, Adriana; Loomis, Cynthia A; Chiriboga, Luis; Ritchlin, Christopher; Garcia-Hernandez, Maria De La Luz; Carucci, John; Meehan, Shane A; Neimann, Andrea L; Gudjonsson, Johann E; Scher, Jose U; Naik, Shruti.
Affiliation
  • Castillo RL; Division of Rheumatology, Department of Medicine, NYU Langone Health, New York, NY 10016, USA.
  • Sidhu I; NYU Psoriatic Arthritis Center, NYU Langone Health, New York, NY 10016, USA.
  • Dolgalev I; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Chu T; Applied Bioinformatics Laboratories, NYU Langone Health, New York, NY 10016, USA.
  • Prystupa A; Applied Bioinformatics Laboratories, NYU Langone Health, New York, NY 10016, USA.
  • Subudhi I; Translational Immunology Center, NYU Langone Health, New York, NY 10016, USA.
  • Yan D; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Konieczny P; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Hsieh B; Applied Bioinformatics Laboratories, NYU Langone Health, New York, NY 10016, USA.
  • Haberman RH; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Selvaraj S; Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, NY 10016, USA.
  • Shiomi T; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Medina R; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Girija PV; Division of Rheumatology, Department of Medicine, NYU Langone Health, New York, NY 10016, USA.
  • Heguy A; NYU Psoriatic Arthritis Center, NYU Langone Health, New York, NY 10016, USA.
  • Loomis CA; Experimental Pathology Laboratory, NYU Langone Health, New York, NY 10016, USA.
  • Chiriboga L; Center for Biospecimen Research and Development, NYU Langone Health, New York, NY 10016, USA.
  • Ritchlin C; Division of Rheumatology, Department of Medicine, NYU Langone Health, New York, NY 10016, USA.
  • Garcia-Hernandez ML; NYU Psoriatic Arthritis Center, NYU Langone Health, New York, NY 10016, USA.
  • Carucci J; Division of Rheumatology, Department of Medicine, NYU Langone Health, New York, NY 10016, USA.
  • Meehan SA; NYU Psoriatic Arthritis Center, NYU Langone Health, New York, NY 10016, USA.
  • Neimann AL; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
  • Gudjonsson JE; Genome Technology Center, NYU Langone Health, New York, NY 10016, USA.
  • Scher JU; Experimental Pathology Laboratory, NYU Langone Health, New York, NY 10016, USA.
  • Naik S; Department of Pathology, NYU Langone Health, New York, NY 10016, USA.
Sci Immunol ; 8(84): eabq7991, 2023 06 08.
Article in En | MEDLINE | ID: mdl-37267384
ABSTRACT
Whereas the cellular and molecular features of human inflammatory skin diseases are well characterized, their tissue context and systemic impact remain poorly understood. We thus profiled human psoriasis (PsO) as a prototypic immune-mediated condition with a high predilection for extracutaneous involvement. Spatial transcriptomics (ST) analyses of 25 healthy, active lesion, and clinically uninvolved skin biopsies and integration with public single-cell transcriptomics data revealed marked differences in immune microniches between healthy and inflamed skin. Tissue-scale cartography further identified core disease features across all active lesions, including the emergence of an inflamed suprabasal epidermal state and the presence of B lymphocytes in lesional skin. Both lesional and distal nonlesional samples were stratified by skin disease severity and not by the presence of systemic disease. This segregation was driven by macrophage-, fibroblast-, and lymphatic-enriched spatial regions with gene signatures associated with metabolic dysfunction. Together, these findings suggest that mild and severe forms of PsO have distinct molecular features and that severe PsO may profoundly alter the cellular and metabolic composition of distal unaffected skin sites. In addition, our study provides a valuable resource for the research community to study spatial gene organization of healthy and inflamed human skin.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psoriasis / Ecosystem Type of study: Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Sci Immunol Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psoriasis / Ecosystem Type of study: Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Sci Immunol Year: 2023 Document type: Article Affiliation country: United States
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