Abstract

Limiting the spread of virus during the recent pandemic outbreak was a major challenge. Viral loads in saliva, nasopharyngeal and oropharyngeal swabs were the major cause for droplet transmission and aerosols. Saliva being the major contributor for the presence of viral load is the major key factor; various mouthwashes and their combination were analyzed and utilized in health care centers to hamper the spread of virus and decrease viral load. The compositions of these mouthwashes to an extent affected the viral load and thereby transmission, but there is always a scope for other protocols which may provide better results. Here we evaluated the potential of antimicrobial peptide LL-37 in decreasing the viral load of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through an in silico work and evidence from other studies. This narrative review highlighted a brief nonsystematic methodology to include the selected articles for discussion. Accessible electronic databases (Medline, Scopus, Web of Science, SciELO, and PubMed) were used to find studies that reported the salivary viral load of SARS-CoV-2 published between December 2019 and June 2021. The following keywords were utilized for brief searching of the databases: “saliva,” “viral load,” and “SARS-CoV-2.” Articles in English language, in vitro cell-line studies, ex vivo studies, and clinical trials explaining the viral load of SARS-CoV-2 in saliva and strategies to decrease viral load were included in this review. The search was complemented by manual searching of the reference lists of included articles and performing a citation search for any additional reviews. The antiviral potential of cationic host defense peptide LL-37 was evaluated using computational approaches providing in silico evidence. The analysis of docking studies and the display of positive interfacial hydrophobicity of LL-37 resulting in disruption of COVID-19 viral membrane elucidate the fact that LL-37 could be effective against all variants of SARS-CoV-2. Further experimental studies would be needed to confirm the binding of the receptor-binding domain with LL-37. The possibility of using it in many forms further to decrease the viral load by disrupting the viral membrane is seen.

Highlights

  • The emergence of the novel coronavirus has received worldwide attention due to its high transmission and reproduction rate ($2.2 [1.4–6.5])

  • Interfacial hydrophobicity of LL-37 resulting in disruption of COVID-19 viral membrane elucidate the fact that LL-37 could be effective against all variants of SARS-CoV-2

  • Mouthwash with cetylpyridinium chloride (CPC) þ zinc and chlorhexidine gluconate (CHX) resulted in significant reductions of the SARSCoV-2 viral load in saliva up to 60 minutes after rinsing, while the hydrogen peroxide (HP) mouthwash resulted in a significant reduction up to 30 minutes after rinsing

Read more

Summary

Introduction

The emergence of the novel coronavirus has received worldwide attention due to its high transmission and reproduction rate ($2.2 [1.4–6.5]). The attachment of SARS-CoV-2 to the ACE2 receptor on host cells of tongue and salivary gland makes saliva a major candidate for transmission of this virus via droplet or aerosol transmission, further contributing to the disease transmission.[1,2] Post outbreak of the pandemic, various guidelines for treatment strategies have been formulated by the Ministry of Health and Family Welfare, Government of India to prevent transmission in medical dispensaries, hospitals, and dental clinics They mainly concentrated on various ways which can prevent the transmission, such as using personal protective equipment, N95 masks, face shields, triple-layer masks, and single ventilated rooms for aerosol-related procedures. Even though these protocols are implemented, they do not completely mitigate the risk of transmission of the coronavirus 2019 (COVID-19) virus

Methods
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call