Your browser doesn't support javascript.
loading
IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 lungs and inflammatory diseases with tissue inflammation.
Zhang, Fan; Mears, Joseph R; Shakib, Lorien; Beynor, Jessica I; Shanaj, Sara; Korsunsky, Ilya; Nathan, Aparna; Donlin, Laura T; Raychaudhuri, Soumya.
Affiliation
  • Zhang F; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
  • Mears JR; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
  • Shakib L; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
  • Beynor JI; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
  • Shanaj S; Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
  • Korsunsky I; Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
  • Nathan A; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
  • Donlin LT; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
  • Raychaudhuri S; Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Genome Med ; 13(1): 64, 2021 04 20.
Article in En | MEDLINE | ID: mdl-33879239
ABSTRACT

BACKGROUND:

Immunosuppressive and anti-cytokine treatment may have a protective effect for patients with COVID-19. Understanding the immune cell states shared between COVID-19 and other inflammatory diseases with established therapies may help nominate immunomodulatory therapies.

METHODS:

To identify cellular phenotypes that may be shared across tissues affected by disparate inflammatory diseases, we developed a meta-analysis and integration pipeline that models and removes the effects of technology, tissue of origin, and donor that confound cell-type identification. Using this approach, we integrated > 300,000 single-cell transcriptomic profiles from COVID-19-affected lungs and tissues from healthy subjects and patients with five inflammatory diseases rheumatoid arthritis (RA), Crohn's disease (CD), ulcerative colitis (UC), systemic lupus erythematosus (SLE), and interstitial lung disease. We tested the association of shared immune states with severe/inflamed status compared to healthy control using mixed-effects modeling. To define environmental factors within these tissues that shape shared macrophage phenotypes, we stimulated human blood-derived macrophages with defined combinations of inflammatory factors, emphasizing in particular antiviral interferons IFN-beta (IFN-ß) and IFN-gamma (IFN-γ), and pro-inflammatory cytokines such as TNF.

RESULTS:

We built an immune cell reference consisting of > 300,000 single-cell profiles from 125 healthy or disease-affected donors from COVID-19 and five inflammatory diseases. We observed a CXCL10+ CCL2+ inflammatory macrophage state that is shared and strikingly abundant in severe COVID-19 bronchoalveolar lavage samples, inflamed RA synovium, inflamed CD ileum, and UC colon. These cells exhibited a distinct arrangement of pro-inflammatory and interferon response genes, including elevated levels of CXCL10, CXCL9, CCL2, CCL3, GBP1, STAT1, and IL1B. Further, we found this macrophage phenotype is induced upon co-stimulation by IFN-γ and TNF-α.

CONCLUSIONS:

Our integrative analysis identified immune cell states shared across inflamed tissues affected by inflammatory diseases and COVID-19. Our study supports a key role for IFN-γ together with TNF-α in driving an abundant inflammatory macrophage phenotype in severe COVID-19-affected lungs, as well as inflamed RA synovium, CD ileum, and UC colon, which may be targeted by existing immunomodulatory therapies.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cytokines / SARS-CoV-2 / COVID-19 / Macrophages Type of study: Prognostic_studies Limits: Humans Language: En Journal: Genome Med Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cytokines / SARS-CoV-2 / COVID-19 / Macrophages Type of study: Prognostic_studies Limits: Humans Language: En Journal: Genome Med Year: 2021 Document type: Article Affiliation country: