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Molecular Biomarkers & Diagnosis

ISSN: 2155-9929

Open Access

Mucin Signature as a Tool to Predict Susceptibility to COVID-19

Abstract

Mukulika Bose, Bhaskar Mitra and Pinku Mukherjee

The COVID-19 pandemic has played havoc on both the global health and economy. Permanent quarantine measures do not appear to be feasible due to obvious reasons. However, a molecular signature to differentiate between low-risk and high-risk individuals will be helpful to set better quarantine measures. Pathogens, including viruses of the upper respiratory tract utilize mucin proteins to enter into host cells. In this review, we highlight the importance of studying the glycome and mucin signature in predicting the susceptibility, progression and response to therapy in COVID-19 patients. Identifying the high-risk versus low-risk groups will help take better actions to save both the health system and economy. 

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Citations: 2054

Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report

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