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Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications

Science, ISSN: 1095-9203, Vol: 369, Issue: 6508
2020
  • 1,136
    Citations
  • 0
    Usage
  • 1,323
    Captures
  • 12
    Mentions
  • 13
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1,136
    • Citation Indexes
      1,129
    • Patent Family Citations
      3
      • Patent Families
        3
    • Policy Citations
      3
      • Policy Citation
        3
    • Clinical Citations
      1
      • PubMed Guidelines
        1
  • Captures
    1,323
  • Mentions
    12
    • News Mentions
      12
      • News
        12
  • Social Media
    13
    • Shares, Likes & Comments
      13
      • Facebook
        13

Most Recent News

Oxford Immunotec Issues Public Comment on FDA Notice

WASHINGTON, June 19 -- Oxford Immunotec, Milton Park, Abingdon, has issued a public comment on the Food and Drug Administration notice entitled "Vaccines and Related

Article Description

Coronavirus disease 2019 (COVID-19) is currently a global pandemic, but human immune responses to the virus remain poorly understood. We used high-dimensional cytometry to analyze 125 COVID-19 patients and compare them with recovered and healthy individuals. Integrated analysis of ~200 immune and ~50 clinical features revealed activation of T cell and B cell subsets in a proportion of patients. A subgroup of patients had T cell activation characteristic of acute viral infection and plasmablast responses reaching >30% of circulating B cells. However, another subgroup had lymphocyte activation comparable with that in uninfected individuals. Stable versus dynamic immunological signatures were identified and linked to trajectories of disease severity change. Our analyses identified three immunotypes associated with poor clinical trajectories versus improving health. These immunotypes may have implications for the design of therapeutics and vaccines for COVID-19.

Bibliographic Details

Divij Mathew; Josephine R. Giles; Amy E. Baxter; Derek A. Oldridge; Allison R. Greenplate; Jennifer E. Wu; Cécile Alanio; Leticia Kuri-Cervantes; M. Betina Pampena; Kurt D’Andrea; Sasikanth Manne; Zeyu Chen; Yinghui Jane Huang; John P. Reilly; Ariel R. Weisman; Caroline A. G. Ittner; Oliva Kuthuru; Jeanette Dougherty; Kito Nzingha; Nicholas Han; Justin Kim; Ajinkya Pattekar; Eileen C. Goodwin; Elizabeth M. Anderson; Madison E. Weirick; Sigrid Gouma; Claudia P. Arevalo; Marcus J. Bolton; Fang Chen; Simon F. Lacey; Holly Ramage; Sara Cherry; Scott E. Hensley; Sokratis A. Apostolidis; Alexander C. Huang; Laura A. Vella; Michael R. Betts; Nuala J. Meyer; E. John Wherry; Zahidul Alam; Mary M. Addison; Katelyn T. Byrne; Aditi Chandra; Hélène C. Descamps; Yaroslav Kaminskiy; Jacob T. Hamilton; Julia Han Noll; Dalia K. Omran; Eric Perkey; Elizabeth M. Prager; Dana Pueschl; Jennifer B. Shah; Jake S. Shilan; Ashley N. Vanderbeck

American Association for the Advancement of Science (AAAS)

Multidisciplinary

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