Your browser doesn't support javascript.
A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections.
Pan, Tony; Cao, Guoshuai; Tang, Erting; Zhao, Yu; Penaloza-MacMaster, Pablo; Fang, Yun; Huang, Jun.
  • Pan T; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States.
  • Cao G; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States.
  • Tang E; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States.
  • Zhao Y; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States.
  • Penaloza-MacMaster P; Department of Microbiology-Immunology, Northwestern University, Chicago, IL, United States.
  • Fang Y; Biological Sciences Division, University of Chicago, Chicago, IL, United States.
  • Huang J; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United States.
Front Genet ; 14: 1105673, 2023.
Article in English | MEDLINE | ID: covidwho-2275447
ABSTRACT

Introduction:

Within the inflammatory immune response to viral infection, the distribution and cell type-specific profiles of immune cell populations and the immune-mediated viral clearance pathways vary according to the specific virus. Uncovering the immunological similarities and differences between viral infections is critical to understanding disease progression and developing effective vaccines and therapies. Insight into COVID-19 disease progression has been bolstered by the integration of single-cell (sc)RNA-seq data from COVID-19 patients with data from related viruses to compare immune responses. Expanding this concept, we propose that a high-resolution, systematic comparison between immune cells from SARS-CoV-2 infection and an inflammatory infectious disease with a different pathophysiology will provide a more comprehensive picture of the viral clearance pathways that underscore immunological and clinical differences between infections.

Methods:

Using a novel consensus single-cell annotation method, we integrate previously published scRNA-seq data from 111,566 single PBMCs from 7 COVID-19, 10 HIV-1+, and 3 healthy patients into a unified cellular atlas. We compare in detail the phenotypic features and regulatory pathways in the major immune cell clusters.

Results:

While immune cells in both COVID-19 and HIV-1+ cohorts show shared inflammation and disrupted mitochondrial function, COVID-19 patients exhibit stronger humoral immunity, broader IFN-I signaling, elevated Rho GTPase and mTOR pathway activity, and downregulated mitophagy.

Discussion:

Our results indicate that differential IFN-I signaling regulates the distinct immune responses in the two diseases, revealing insight into fundamental disease biology and potential therapeutic candidates.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Vaccines Language: English Journal: Front Genet Year: 2023 Document Type: Article Affiliation country: Fgene.2023.1105673

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Vaccines Language: English Journal: Front Genet Year: 2023 Document Type: Article Affiliation country: Fgene.2023.1105673