A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections
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 betwe...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2023.1105673/full |
| _version_ | 1797884327174864896 |
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| author | Tony Pan Guoshuai Cao Erting Tang Yu Zhao Pablo Penaloza-MacMaster Yun Fang Jun Huang |
| author_facet | Tony Pan Guoshuai Cao Erting Tang Yu Zhao Pablo Penaloza-MacMaster Yun Fang Jun Huang |
| author_sort | Tony Pan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T04:05:46Z |
| format | Article |
| id | doaj.art-39c46221630844139b82af54c6727311 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-10T04:05:46Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-39c46221630844139b82af54c67273112023-03-13T05:54:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-03-011410.3389/fgene.2023.11056731105673A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infectionsTony Pan0Guoshuai Cao1Erting Tang2Yu Zhao3Pablo Penaloza-MacMaster4Yun Fang5Jun Huang6Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United StatesDepartment of Microbiology-Immunology, Northwestern University, Chicago, IL, United StatesBiological Sciences Division, University of Chicago, Chicago, IL, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, IL, United StatesIntroduction: 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.https://www.frontiersin.org/articles/10.3389/fgene.2023.1105673/fullHIVSingle-cell RNA sequencingSARS-CoV-2type 1 interferoninflammationmetabolic signaling |
| spellingShingle | Tony Pan Guoshuai Cao Erting Tang Yu Zhao Pablo Penaloza-MacMaster Yun Fang Jun Huang A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections Frontiers in Genetics HIV Single-cell RNA sequencing SARS-CoV-2 type 1 interferon inflammation metabolic signaling |
| title | A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections |
| title_full | A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections |
| title_fullStr | A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections |
| title_full_unstemmed | A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections |
| title_short | A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections |
| title_sort | single cell atlas reveals shared and distinct immune responses and metabolic profiles in sars cov 2 and hiv 1 infections |
| topic | HIV Single-cell RNA sequencing SARS-CoV-2 type 1 interferon inflammation metabolic signaling |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2023.1105673/full |
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