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10.14814/phy2.14701

http://scihub22266oqcxt.onion/10.14814/phy2.14701
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33373502!7771898!33373502
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suck abstract from ncbi

pmid33373502      Physiol+Rep 2021 ; 9 (1): e14701
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  • Mucin signature as a potential tool to predict susceptibility to COVID-19 #MMPMID33373502
  • Bose M; Mitra B; Mukherjee P
  • Physiol Rep 2021[Jan]; 9 (1): e14701 PMID33373502show ga
  • The Corona Virus Infectious Disease-19 (COVID-19) pandemic has played havoc on both the global health and economy. It is necessary to find a molecular signature that differentiates between low-risk and high-risk individuals. Pathogens, including viruses of the upper respiratory tract, utilize mucin proteins to enter into host cells. Mucins are critical components of innate immunity and also play important roles in infectious disease progression. Their expression is regulated by different cytokines during infection and inflammation. A comparison of mucin signatures between an asymptomatic versus symptomatic and between patients with mild versus severe symptoms could help identify other important proteins involved in the pathology of this new virus. Recent studies on the pathogenicity of the SARS-CoV-2 have found receptors that help its entry into the cells. In this review, we present an overview of how mucins are connected to the pathogenicity of the virus and propose that studying the glycome and mucin signature may lead to the development of a biomarker in predicting the susceptibility, progression, and response to therapy in COVID-19 patients.
  • |*COVID-19/metabolism/virology[MESH]
  • |Animals[MESH]
  • |Humans[MESH]
  • |Mucins/*metabolism[MESH]
  • |SARS-CoV-2/*pathogenicity[MESH]


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