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10.1016/j.cyto.2021.155618

http://scihub22266oqcxt.onion/10.1016/j.cyto.2021.155618
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34127355!8180668!34127355
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suck abstract from ncbi


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pmid34127355      Cytokine 2021 ; 148 (ä): 155618
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  • Type 1 inflammatory endotype relates to low compliance, lung fibrosis, and severe complications in COVID-19 #MMPMID34127355
  • Hasegawa T; Nakagawa A; Suzuki K; Yamashita K; Yamashita S; Iwanaga N; Tamada E; Noda K; Tomii K
  • Cytokine 2021[Dec]; 148 (ä): 155618 PMID34127355show ga
  • BACKGROUND: Coronavirus disease 2019 (COVID-19) is an acute respiratory disease; approximately 5% of patients developing severe COVID-19. It is known that cytokine release is associated with disease severity, but the relationship between the different clinical phenotypes and inflammatory endotypes is not well understood. OBJECTIVE: This study investigated the association between inflammatory biomarker-based endotypes and severe COVID-19 phenotypes. METHODS: Interleukin (IL) -6, C-reactive protein (CRP), C-X-C motif chemokine (CXCL) 9, IL-18, C-C motif chemokine (CCL) 3, CCL17, IL-10, and vascular endothelial growth factor (VEGF) were measured in 57 COVID-19 patients, and their association with clinical characteristics was examined using a cluster analysis. RESULTS: Significantly higher blood levels of the eight inflammatory markers were noted in patients who developed acute respiratory distress syndrome (ARDS) than in those who did not develop ARDS (non-ARDS). Using a cluster analysis, the patient groups were classified into four clusters, of which two had patients with high IL-6 and CRP levels. In the cluster with high levels of Type 1 (T1) inflammatory markers such as CXCL9 and IL-18, 85% of the patients had ARDS, 65% of the patients developed acute kidney injury (AKI), and 78% of the patients developed pulmonary fibrosis. CONCLUSIONS: In the cluster with high levels of T1 inflammatory markers, the patients frequently suffered from tissue damage, manifested as ARDS and AKI. Our findings identified distinct T1 inflammatory endotypes of COVID-19 and suggest the importance of controlling inflammation by monitoring T1 biomarkers and treating accordingly to limit the severity of the disease.
  • |Aged[MESH]
  • |Biomarkers/blood[MESH]
  • |COVID-19/blood/*complications/*physiopathology/virology[MESH]
  • |Cluster Analysis[MESH]
  • |Disease Progression[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Inflammation/blood/complications/*pathology[MESH]
  • |Lung Compliance[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pulmonary Fibrosis/blood/*complications/*physiopathology[MESH]
  • |Respiratory Distress Syndrome/blood/complications[MESH]


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