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COVID-19 patients upregulate toll-like receptor 4-mediated inflammatory signaling that mimics bacterial sepsis
Kyung Mok Sohn; Sung-Gwon Lee; Hyeon Ji Kim; Shinhyea Cheon; Hyeongseok Jeong; Jooyeon Lee; In Soo Kim; Prashanta Silwal; Young Jae Kim; Chungoo Park; Yeon-Sook Kim; Eun-Kyeong Jo.
Afiliação
  • Kyung Mok Sohn; Chungnam National University School of Medicine
  • Sung-Gwon Lee; Chonnam National University
  • Hyeon Ji Kim; Chungnam National University School of Medicine
  • Shinhyea Cheon; Chungnam National University School of Medicine
  • Hyeongseok Jeong; Chungnam National University School of Medicine
  • Jooyeon Lee; Chungnam National University School of Medicine
  • In Soo Kim; Chungnam National University School of Medicine
  • Prashanta Silwal; Chungnam National University School of Medicine
  • Young Jae Kim; Chungnam National University School of Medicine
  • Chungoo Park; Chonnam National University
  • Yeon-Sook Kim; Chungnam National University School of Medicine
  • Eun-Kyeong Jo; Chungnam National University School of Medicine
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-207878
ABSTRACT
Observational studies of the ongoing coronavirus disease 2019 (COVID-19) outbreak suggest that a cytokine storm is involved in the pathogenesis of severe illness. However, the molecular mechanisms underlying the altered pathological inflammation in COVID-19 are largely unknown. We report here that toll-like receptor (TLR) 4-mediated inflammatory signaling molecules are upregulated in peripheral blood mononuclear cells (PBMCs) from COVID-19 patients, compared with healthy controls. Among the most highly increased inflammatory mediators in severe/critically ill patients, S100A9, an alarmin and TLR4 ligand, was found as a noteworthy biomarker, because it inversely correlated with the serum albumin levels. These data support a link between TLR4 signaling and pathological inflammation during COVID-19 and contribute to develop therapeutic approaches through targeting TLR4-mediated inflammation.
Licença
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Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint