Your browser doesn't support javascript.
loading
The network interplay of interferon and Toll-like receptor signaling pathways in the anti-Candida immune response.
Salgado, Ranieri Coelho; Fonseca, Dennyson Leandro M; Marques, Alexandre H C; da Silva Napoleao, Sarah Maria; França, Tábata Takahashi; Akashi, Karen Tiemi; de Souza Prado, Caroline Aliane; Baiocchi, Gabriela Crispim; Plaça, Desirée Rodrigues; Jansen-Marques, Gabriel; Filgueiras, Igor Salerno; De Vito, Roberta; Freire, Paula Paccielli; de Miranda, Gustavo Cabral; Camara, Niels Olsen Saraiva; Calich, Vera Lúcia Garcia; Ochs, Hans D; Schimke, Lena F; Jurisica, Igor; Condino-Neto, Antonio; Cabral-Marques, Otavio.
Affiliation
  • Salgado RC; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil. ranierics@usp.br.
  • Fonseca DLM; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Marques AHC; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • da Silva Napoleao SM; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • França TT; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Akashi KT; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • de Souza Prado CA; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Baiocchi GC; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Plaça DR; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Jansen-Marques G; Information Systems, School of Arts, Sciences and Humanities, University of Sao Paulo, São Paulo, Brazil.
  • Filgueiras IS; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • De Vito R; Department of Biostatistics and the Data Science Initiative at, Brown University, Providence, RI, USA.
  • Freire PP; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • de Miranda GC; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Camara NOS; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Calich VLG; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Ochs HD; Department of Pediatrics, University of Washington School of Medicine, and Seattle Children's Research Institute, Seattle, WA, USA.
  • Schimke LF; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
  • Jurisica I; Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN; Data Science Discovery Centre, Krembil Research Institute, UHN; Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, Canada.
  • Condino-Neto A; Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia.
  • Cabral-Marques O; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Sci Rep ; 11(1): 20281, 2021 10 13.
Article in En | MEDLINE | ID: mdl-34645905
ABSTRACT
Fungal infections represent a major global health problem affecting over a billion people that kills more than 1.5 million annually. In this study, we employed an integrative approach to reveal the landscape of the human immune responses to Candida spp. through meta-analysis of microarray, bulk, and single-cell RNA sequencing (scRNA-seq) data for the blood transcriptome. We identified across these different studies a consistent interconnected network interplay of signaling molecules involved in both Toll-like receptor (TLR) and interferon (IFN) signaling cascades that is activated in response to different Candida species (C. albicans, C. auris, C. glabrata, C. parapsilosis, and C. tropicalis). Among these molecules are several types I IFN, indicating an overlap with antiviral immune responses. scRNA-seq data confirmed that genes commonly identified by the three transcriptomic methods show cell type-specific expression patterns in various innate and adaptive immune cells. These findings shed new light on the anti-Candida immune response, providing putative molecular pathways for therapeutic intervention.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Candida albicans / Candidiasis / Signal Transduction / Candida glabrata / Candida parapsilosis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Candida albicans / Candidiasis / Signal Transduction / Candida glabrata / Candida parapsilosis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: