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Th1 cytokine endotype discriminates and predicts severe complications in COVID-19
Hasegawa, Takehiro; Hato, Takashi; Okayama, Toshitsugu; Ikeo, Kazuho; Miyamoto, Yoshiaki; Iwanaga, Niina; Suzuki, Kohjin; Yoshida, Maho; Yamashita, Kazuto; Yamashita, Saya; Tamada, Eiya; Khasawneh, Abdullah; Paran, Faith Jessica; Oyama, Rieko; Naito, Toshio; Noda, Kenta; Tabe, Yoko.
  • Hasegawa T; Research and Development Division, Sysmex R&D Centre Europe GmbH, Falkenried 88 20251 Hamburg, Germany
  • Hato T; Division of Nephrology, Indiana University, 107 S Indiana Ave, Bloomington, USA
  • Okayama T; Center for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, Sizuoka, Japan
  • Ikeo K; Center for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, Sizuoka, Japan
  • Miyamoto Y; Central Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Iwanaga N; Central Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Suzuki K; System Technology Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Yoshida M; Scientific Affairs, Sysmex Corporation, Division 1-3-2, Murotani, Nish Ward, Kobe, Japan
  • Yamashita K; Central Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Yamashita S; Business Incubation Department, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Tamada E; Central Research Laboratories, Sysmex Corporation, 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
  • Khasawneh A; Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
  • Paran FJ; Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
  • Oyama R; Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
  • Naito T; Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
  • Noda K; Department of General Medicine, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo Ward, Tokyo, Japan
  • Tabe Y; Reagent Engineering Department, Sysmex Corporation 4-4-4, Takatsuka-dai, Nish Ward, Kobe, Japan
Eur Cytokine Netw ; 33(2): 25-36, 2022 06 01.
Article en En | MEDLINE | ID: mdl-36266985
Treatment of severe and critical cases of coronavirus disease 2019 (COVID-19) is still a top priority in public health. Previously, we reported distinct Th1 cytokines related to the pathophysiology of severe COVID-19 condition. In the present study, we investigated the association of Th1 and Th2 cytokine/chemokine endotypes with cell-mediated immunity via multiplex immunophenotyping, single-cell RNA-Seq analysis of peripheral blood mononuclear cells, and analysis of the clinical features of COVID-19 patients. Based on serum cytokine and systemic inflammatory markers, COVID-19 cases were classified into four clusters of increasing (I-IV) severity. Two prominent clusters were of interest and could be used as prognostic reference for a targeted treatment of severe COVID-19 cases. Cluster III reflected severe/critical pathology and was characterized by decreased in CCL17 levels and increase in IL-6, C-reactive protein CXCL9, IL-18, and IL-10 levels. The second cluster (Cluster II) showed mild to moderate pathology and was characterized by predominated CXCL9 and IL-18 levels, levels of IL-6 and CRP were relatively low. Cluster II patients received anti-inflammatory treatment in early-stage, which may have led prevent disease prognosis which is accompanied to IL-6 and CRP induction. In Cluster III, a decrease in the proportion of effector T cells with signs of T cell exhaustion was observed. This study highlights the mechanisms of endotype clustering based on specific inflammatory markers in related the clinical outcome of COVID-19.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Citocinas / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Citocinas / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article