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10.1186/s12967-020-02472-z

http://scihub22266oqcxt.onion/10.1186/s12967-020-02472-z
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32746922!7397454!32746922
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suck abstract from ncbi


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pmid32746922      J+Transl+Med 2020 ; 18 (1): 297
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  • A consideration of publication-derived immune-related associations in Coronavirus and related lung damaging diseases #MMPMID32746922
  • Geifman N; Whetton AD
  • J Transl Med 2020[Aug]; 18 (1): 297 PMID32746922show ga
  • BACKGROUND: The severe acute respiratory syndrome virus SARS-CoV-2, a close relative of the SARS-CoV virus, is the cause of the recent COVID-19 pandemic affecting, to date, over 14 million individuals across the globe and demonstrating relatively high rates of infection and mortality. A third virus, the H5N1, responsible for avian influenza, has caused infection with some clinical similarities to those in COVID-19 infections. Cytokines, small proteins that modulate immune responses, have been directly implicated in some of the severe responses seen in COVID-19 patients, e.g. cytokine storms. Understanding the immune processes related to COVID-19, and other similar infections, could help identify diagnostic markers and therapeutic targets. METHODS: Here we examine data of cytokine, immune cell types, and disease associations captured from biomedical literature associated with COVID-19, Coronavirus in general, SARS, and H5N1 influenza, with the objective of identifying potentially useful relationships and areas for future research. RESULTS: Cytokine and cell-type associations captured from Medical Subject Heading (MeSH) terms linked to thousands of PubMed records, has identified differing patterns of associations between the four corpuses of publications (COVID-19, Coronavirus, SARS, or H5N1 influenza). Clustering of cytokine-disease co-occurrences in the context of Coronavirus has identified compelling clusters of co-morbidities and symptoms, some of which already known to be linked to COVID-19. Finally, network analysis identified sub-networks of cytokines and immune cell types associated with different manifestations, co-morbidities and symptoms of Coronavirus, SARS, and H5N1. CONCLUSION: Systematic review of research in medicine is essential to facilitate evidence-based choices about health interventions. In a fast moving pandemic the approach taken here will identify trends and enable rapid comparison to the literature of related diseases.
  • |*Betacoronavirus[MESH]
  • |*Publications[MESH]
  • |COVID-19[MESH]
  • |Cluster Analysis[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/*immunology[MESH]
  • |Cytokine Release Syndrome/virology[MESH]
  • |Cytokines/immunology[MESH]
  • |Hematopoietic Stem Cells/cytology[MESH]
  • |Humans[MESH]
  • |Immune System[MESH]
  • |Influenza A Virus, H5N1 Subtype[MESH]
  • |Influenza, Human/immunology[MESH]
  • |Lung Diseases/*immunology[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*immunology[MESH]
  • |PubMed[MESH]
  • |SARS-CoV-2[MESH]


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