Potential Treatment For COVID-19 Research Articles

Combination of the parent analogue of remdesivir (GS-441524) and molnupiravir results in a markedly potent antiviral effect in SARS-CoV-2 infected Syrian hamsters.

Remdesivir was the first antiviral drug to be approved for the treatment of severe COVID-19; followed by molnupiravir (another prodrug of a nucleoside analogue) and the protease inhibitor nirmatrelvir. Combination of antiviral drugs may result in improved potency and help to avoid or delay the development of resistant variants. We set out to explore the combined antiviral potency of GS-441524 (the parent nucleoside of remdesivir) and molnupiravir against SARS-CoV-2. In SARS-CoV-2 (BA.5) infected A549-Dual™ hACE2-TMPRSS2 cells, the combination resulted in an overall additive antiviral effect with a synergism at certain concentrations. Next, the combined effect was explored in Syrian hamsters infected with SARS-CoV-2 (Beta, B.1.351); treatment was started at the time of infection and continued twice daily for four consecutive days. At day 4 post-infection, GS-441524 (50mg/kg, oral BID) and molnupiravir (150mg/kg, oral BID) as monotherapy reduced infectious viral loads by 0.5 and 1.6 log10, respectively, compared to the vehicle control. When GS-441524 (50mg/kg, BID) and molnupiravir (150mg/kg, BID) were combined, infectious virus was no longer detectable in the lungs of 7 out of 10 of the treated hamsters (4.0 log10 reduction) and titers in the other animals were reduced by ∼2 log10. The combined antiviral activity of molnupiravir which acts by inducing lethal mutagenesis and GS-441524, which acts as a chain termination appears to be highly effective in reducing SARS-CoV-2 replication/infectivity. The unexpected potent antiviral effect of the combination warrants further exploration as a potential treatment for COVID-19.

1114. Comparative analysis between Polymerized Type I Collagen and Baricitinib as potential treatment for COVID-19

Abstract Background Baricitinib is a treatment authorized by the FDA for the treatment of moderate to severe COVID-19, despite this there are few approved drugs; polymerized type I collagen (PTIC) is a drug that has been used in Mexico with great potential for treating moderate to severe cases of COVID-19. Methods Comparative, descriptive and retrospective analysis of two populations of adult patients affected by COVID-19 confirmed by antigen test or RT-PCR as well as CO-RADS 6 CT, who consented to be treated between 2020 and 2021, a population using oral baricitinib at a dose of 4mg/day/14 days and another using polymerized type I collagen intramuscularly at a dose of 1.5ml every 12 hours for 3 days, followed by 1.5ml every 24 hours for 4 days; The most affected age and gender, comorbidities and laboratory abnormalities are analyzed, as well as improvement in inflammatory and oxygenation indices measured by pulse oximetry and SAFI (SpO2/FiO2), finally the outcome of the patients and the presence of adverse events. Results 80 patients for each group, the most affected gender was male; the average age in the PTIC group was 51 years and in the baricitinib group it was 56 years; the main comorbidities were obesity, diabetes and hypertension in both groups; the decrease in acute phase reactants such as CRP, D-dimer and ferritin was greater in the PTIC group compared to the baricitinib group, the latter drug requiring a regimen of more days to achieve the objectives of the first drug (PTIC 7 days and baricitinib 14 days); Similarly, in oxygenation measured, the PTIC group reached goals in less time compared to the baricitinib group, which required twice as many days of treatment to achieve adequate oxygenation; Regarding the outcomes, there was a higher mortality in the baricitinib group compared to the PTIC group (6.25% vs 3.75%). Regarding adverse events reported for the PTIC group, they were minor and related to the intramuscular administration of the drug in 7 patients, while in the baricitinib group, 5 patients were reported with added bacterial pneumonia. Conclusion Polymerized type I collagen has anti-inflammatory and immunomodulatory potential similar to baricitinib in cases of moderate to severe COVID-19, even reaching treatment goals in less time both in inflammatory indices and in oxygenation indices. Disclosures All Authors: No reported disclosures.

Correlation of Biomarkers of Endothelial Injury and Inflammation to Outcome in Hospitalized COVID-19 Patients.

COVID-19 can trigger an intense systemic inflammation and prothrombotic state, leading to a rapid and disproportionate deterioration of lung function. An effective screening tool is essential to identify the patients at risk for severe disease. This observational study was conducted on hospitalized patients with moderate and severe COVID-19 pneumonia in a general hospital in Mexico City between 1 March 2021 and 15 March 2021. Serum samples were analyzed to explore the role of biomarkers of inflammation, coagulation, oxidative stress, and endothelial damage with the severity of the disease. Our results demonstrated that Syndecan-1 and nitrites/nitrates showed a high correlation in severely ill patients. In conclusion, COVID-19 patients with elevated levels of SDC-1 were associated with severe disease. This molecule can potentially be used as a marker for the progression or severity of COVID-19. Preservation of glycocalyx integrity may be a potential treatment for COVID-19.

Development and evaluation of an 18F-labeled nanobody to target SARS-CoV-2's spike protein.

COVID-19, caused by the SARS-CoV-2 virus, has become a global pandemic that is still present after more than two years. COVID-19 is mainly known as a respiratory disease that can cause long-term consequences referred to as long COVID. Molecular imaging of SARS-CoV-2 in COVID-19 patients would be a powerful tool for studying the pathological mechanisms and viral load in different organs, providing insights into the disease and the origin of long-term consequences and assessing the effectiveness of potential COVID-19 treatments. Current diagnostic methods used in the clinic do not allow direct imaging of SARS-CoV-2. In this work, a nanobody (NB) - a small, engineered protein derived from alpacas - and an Fc-fused NB which selectively target the SARS-CoV-2 Spike protein were developed as imaging agents for positron emission tomography (PET). We used the tetrazine ligation to 18F-label the NB under mild conditions once the NBs were successfully modified with trans-cyclooctenes (TCOs). We confirmed binding to the Spike protein by SDS-PAGE. Dynamic PET scans in rats showed excretion through the liver for both constructs. Future work will evaluate in vivo binding to the Spike protein with our radioligands.

An Overview of Repurposed Drugs for Potential COVID-19 Treatment.

The COVID-19 pandemic caused by SARS-CoV-2 has placed severe constraints on healthcare systems around the globe. The SARS-CoV-2 virus has caused upheaval in the healthcare and economic sectors worldwide. On the 20th of May 2020, the World Health Organisation declared COVID-19 a global pandemic due to the unprecedented number of cases reported around the globe. As of the 4th of November 2022, there were 637,117,429 coronavirus cases reported globally by Worldometer stats, with 6,602,572 related deaths. In South Africa, there were approximately 4,029,496 coronavirus cases and 102,311 associated deaths. As such, there is a need for efficacious therapeutic regimes. There has been a paucity of knowledge encompassing the use of effective and specific antiviral drug therapies for treating COVID-19 since the outbreak. In this review, we provide valuable insights into the repurposing of current drugs for COVID-19. Drug repurposing provides a suitable option for the discovery of efficacious drugs for COVID-19, thereby decreasing the costs and turnaround times of drug development strategies. This review provides an overview of ten drugs, including antimalarial, antiparasitic, anti-inflammatory, nucleoside analogue, monoclonal-antibody drugs, that were repurposed for the potential treatment of COVID-19.

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

The clinical efficacy and safety of a drug is determined by its molecular properties and targets in humans. However, proteome-wide evaluation of all compounds in humans, or even animal models, is challenging. In this study, we present an unsupervised pretraining deep learning framework, named ImageMol, pretrained on 10 million unlabelled drug-like, bioactive molecules, to predict molecular targets of candidate compounds. The ImageMol framework is designed to pretrain chemical representations from unlabelled molecular images on the basis of local and global structural characteristics of molecules from pixels. We demonstrate high performance of ImageMol in evaluation of molecular properties (that is, the drug’s metabolism, brain penetration and toxicity) and molecular target profiles (that is, beta-secretase enzyme and kinases) across 51 benchmark datasets. ImageMol shows high accuracy in identifying anti-SARS-CoV-2 molecules across 13 high-throughput experimental datasets from the National Center for Advancing Translational Sciences. Via ImageMol, we identified candidate clinical 3C-like protease inhibitors for potential treatment of COVID-19.

Ensitrelvir as a potential treatment for COVID-19

ABSTRACT Introduction First-generation therapeutics have improved clinical outcomes in patients infected with SARS-CoV-2. However, viral evolution has produced variants and subvariants capable of resisting many of these drugs and novel treatment strategies are urgently needed. Areas covered A corporate compound library screen identified ensitrelvir (formerly S-217622), a non-covalent, non-peptidic, orally bioavailable small-molecule protease inhibitor as a potential treatment for SARS-CoV-2. Ensitrelvir cleaves the active site of the 3C-like protease (3CLpro), which is conserved across SARS-CoV-2 variants and subvariants, with no human cell protease with similar specificity. Expert opinion Ensitrelvir demonstrates strong in vitro antiviral activity against the SARS-CoV-2 Omicron subvariants BA.4 and BA.5, which have driven new waves of infection throughout 2022, suggesting a potential therapeutic option for patients with COVID-19. This manuscript reviews what is known about ensitrelvir and explores how this drug may be used in the future to address the SARS-CoV-2 pandemic.

Silver and Silver Nanoparticles for the Potential Treatment of COVID-19: A Review

COVID-19 is an epizootic and life-threatening outbreak affecting millions of people globally. Coronavirus variants have emerged in different locations since their origin. Silver and its compounds, including silver nanoparticles (AgNPs), have been used in the medical field for a long period, especially in surgical treatments. The anti-microbial and anti-viral properties of silver are well documented. These properties depend on the size of the particles, concentration, precursor, method of preparation, and the presence of other benefiting compounds. Several experiments were conducted by researchers worldwide to prove the anti-bacterial and anti-viral properties of silver (Ag) and AgNPs, emphasizing that silver can be introduced to multiple organs in the human body and exhibit the expected antiviral characteristics. In this review article, use of silver nanoparticles to fight the COVID-19 pandemic according with the current information is discussed. The mechanisms involving antiviral activity and toxicity are discussed in detail. This article concludes that strong binding of AgNPs with SARS-CoV-2 virus prevents binding with the host cell, leading to the death of the virus. However, increased cytotoxic effect of the silver compounds at higher concentrations is a matter of concern.

A Clinically Validated, Broadly Active, Oral Viral Superinfection Therapy Could Mitigate Symptoms in Early-stage COVID-19 Patients.

More than 200 viruses infect humans, but treatments are available for less than ten of them. To narrow the gap between 'bugs and drugs,' a paradigm shift is required. The "one drug, one bug" approach can be expanded to a "one drug, multiple bugs" strategy such that the host's defense system is targeted rather than the virus. Viral superinfection therapy (SIT) activates interferon genes' natural, antiviral defense system of host cells following exposure to viral infection, e.g., superinfection with an attenuated infectious bursal disease virus (IBDV) with the release of its double-stranded RNA (dsRNA) cargo inside host cells. An attenuated IBDV therapeutic vaccine has successfully treated hepatitis A virus infection (HAV) in marmoset monkeys as well as acute hepatitis B and hepatitis C virus infections (HBV/HCV) in 42 patients. SIT has also been shown to be safe and effective in four patients with chronic HBV or HCV infection with hepatic decompensation. The proof-of-principle of SIT has also been demonstrated in a 43-year-old male patient with COVID-19. Three doses of orally administered IBDV (3x106 IU) alleviated most of his COVID-19 symptoms; even his sense of smell returned within a week. Two additional COVID-19 patients responded similarly to oral treatment with IBDV. Furthermore, a severe herpes zoster ophthalmicus outbreak with orbital edema responded to a combination of acyclovir and 7 doses of IBDV (7x106 IU) within a few days. IBDV is simple to manufacture and affordable, even in resource-limited settings. Acid-resistant IBDV can be orally administered in an outpatient setting, providing simple dosing and high medication adherence. Under an Emergency Use Authorization, the broad-spectrum IBDV drug candidate could be tested immediately in clinical trials and rapidly distributed to millions of early-stage patients with COVID-19. The German Paul Ehrlich Institute is currently supporting a phase I safety study for persons acutely infected with SARS‑CoV-2. An expert team of the US National Institutes of Health-sponsored ACTIV public-private partnership came to the conclusion that the IBDV drug candidate shows merit as a potential treatment for COVID19, and an FDA-approved clinical trial is in the pipelines in Los Angeles.

Hyperbaric oxygen for treatment of long COVID-19 syndrome (HOT-LoCO): protocol for a randomised, placebo-controlled, double-blind, phase II clinical trial

IntroductionLong COVID-19, where symptoms persist 12 weeks after the initial SARS-CoV-2-infection, is a substantial problem for individuals and society in the surge of the pandemic. Common symptoms are fatigue, postexertional...

Monoclonal antibodies for the treatment of COVID-19 infection in children

ABSTRACT Introduction Monoclonal antibodies (mAbs) have been authorized for the treatment of COVID-19 in pediatric populations, however, there is a lack of evidence for their use in these populations. Areas covered We outline the evidence of mAbs for COVID-19, discuss their use in the treatment of COVID-19 infection for pediatric patients, and consider alternative treatment options and challenges to COVID-19 drug approvals. Expert opinion Limited evidence exists for the safety and efficacy of mAbs to treat COVID-19 in children as new variants emerge. In rare pediatric outpatient settings, such as profound immunodeficiency or severe pulmonary disease, the benefits of antiviral treatment for COVID-19 likely outweigh the relatively small risks. However, for the great majority of pediatric patients, mAb treatment is likely not indicated. Small molecule antiviral therapies are another potential treatment for COVID-19 in children in an outpatient setting, though neither mAb nor small molecule antiviral treatments have significant supporting evidence in children and developing a strong evidence base for these decisions will be challenging if not impractical. Ultimately, these decisions are likely to be made at the level of individual cases using expert opinion as the primary guiding principle.

ML-DTD: Machine Learning-Based Drug Target Discovery for the Potential Treatment of COVID-19.

Recent research has highlighted that a large section of druggable protein targets in the Human interactome remains unexplored for various diseases. It might lead to the drug repurposing study and help in the in-silico prediction of new drug-human protein target interactions. The same applies to the current pandemic of COVID-19 disease in global health issues. It is highly desirable to identify potential human drug targets for COVID-19 using a machine learning approach since it saves time and labor compared to traditional experimental methods. Structure-based drug discovery where druggability is determined by molecular docking is only appropriate for the protein whose three-dimensional structures are available. With machine learning algorithms, differentiating relevant features for predicting targets and non-targets can be used for the proteins whose 3-D structures are unavailable. In this research, a Machine Learning-based Drug Target Discovery (ML-DTD) approach is proposed where a machine learning model is initially built up and tested on the curated dataset consisting of COVID-19 human drug targets and non-targets formed by using the Therapeutic Target Database (TTD) and human interactome using several classifiers like XGBBoost Classifier, AdaBoost Classifier, Logistic Regression, Support Vector Classification, Decision Tree Classifier, Random Forest Classifier, Naive Bayes Classifier, and K-Nearest Neighbour Classifier (KNN). In this method, protein features include Gene Set Enrichment Analysis (GSEA) ranking, properties derived from the protein sequence, and encoded protein network centrality-based measures. Among all these, XGBBoost, KNN, and Random Forest models are satisfactory and consistent. This model is further used to predict novel COVID-19 human drug targets, which are further validated by target pathway analysis, the emergence of allied repurposed drugs, and their subsequent docking study.

Crystal structure of the Rho-associated coiled-coil kinase 2 inhibitor belumosudil bound to CK2α.

The small molecule belumosudil was initially identified as a selective inhibitor of Rho-associated coiled-coil kinase 2 (ROCK2) and has recently been approved for the treatment of graft-versus-host disease. However, recent studies have shown that many of the phenotypes displayed upon treatment with belumosudil were due to CK2α inhibition. CK2α is in itself a very promising therapeutic target for a range of conditions and has recently been put forward as a potential treatment for COVID-19. Belumosudil presents a promising starting point for the development of future CK2α inhibitors as it provides a safe, potent and orally bioavailable scaffold. Therefore, several of the major hurdles in drug development have already been overcome. Here, the crystal structure of belumosudil bound to the ATP site of CK2α is presented. This crystal structure combined with modelling studies further elucidates how belumosudil could be developed into a selective and potent CK2α or ROCK2 inhibitor.

In vitro evaluation of nebulized eucalyptol nano-emulsion formulation as a potential COVID-19 treatment

Coronavirus is a type of acute atypical respiratory disease representing the leading cause of death worldwide. Eucalyptol (EUC) known also as 1,8-cineole is a potential inhibitor candidate for COVID-19 (main protease-Mpro) with effective antiviral properties but undergoes physico-chemical instability and poor water solubility. Nano-emulsion (NE) is a promising drug delivery system to improve the stability and efficacy of drugs. This work focuses on studying the anti- COVID-19 activity of EUC by developing nebulized eucalyptol nano-emulsion (EUC-NE) as a potentially effective treatment for COVID-19. The EUC -NE formulation was prepared using Tween 80 as a surfactant. In vitro evaluation of the EUC-NE formulation displayed an entrapment efficiency of 77.49 %, a droplet size of 122.37 nm, and an EUC % release of 84.7 %. The aerodynamic characterization and cytotoxicity of EUC-NE formulation were assessed, and results showed high lung deposition and low inhibitory concentration. The antiviral mechanism of the EUC-NE formulation was performed, and it was found that it exerts its action by virucidal, viral replication, and viral adsorption. Our results confirmed the antiviral activity of the EUC-NE formulation against COVID-19 and the efficacy of nano-emulsion as a delivery system, which can improve the cytotoxicity and inhibitory activity of EUC.

Clinical Practice Guidelines From the Association for the Advancement of Blood and Biotherapies (AABB): COVID-19 Convalescent Plasma.

Coronavirus disease 2019 convalescent plasma (CCP) has emerged as a potential treatment of COVID-19. However, meta-analysis data and recommendations are limited. The Association for the Advancement of Blood and Biotherapies (AABB) developed clinical practice guidelines for the appropriate use of CCP. These guidelines are based on 2 living systematic reviews of randomized controlled trials (RCTs) evaluating CCP from 1 January 2019 to 26 January 2022. There were 33 RCTs assessing 21916 participants. The results were summarized using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) method. An expert panel reviewed the data using the GRADE framework to formulate recommendations. The AABB suggests CCP transfusion in addition to the usual standard of care for outpatients with COVID-19 who are at high risk for disease progression (weak recommendation, moderate-certainty evidence). The AABB recommends against CCP transfusion for unselected hospitalized persons with moderate or severe disease (strong recommendation, high-certainty evidence). This recommendation does not apply to immunosuppressed patients or those who lack antibodies against SARS-CoV-2. The AABB suggests CCP transfusion in addition to the usual standard of care for hospitalized patients with COVID-19 who do not have SARS-CoV-2 antibodies detected at admission (weak recommendation, low-certainty evidence). The AABB suggests CCP transfusion in addition to the usual standard of care for hospitalized patients with COVID-19 and preexisting immunosuppression (weak recommendation, low-certainty evidence). The AABB suggests against prophylactic CCP transfusion for uninfected persons with close contact exposure to a person with COVID-19 (weak recommendation, low-certainty evidence). CCP is most effective when transfused with high neutralizing titers to infected patients early after symptom onset.

Virtual screening and drug likeness prediction of new potent TMPRSS2 inhibitors as a potential treatment of COVID-19

Transmembrane serine protease 2 (TMPRSS2) is a human protease which plays an important role in the viral life cycle. This enzyme cleaves the spike protein required for Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) viral entry at the host cell. TMPRSS2 inhibitors might limit SARS-CoV-2 infection in the respiratory tract. This work aims at identifying new potent TMPRSS2 inhibitors for anti-SARS CoV-2 drug research. Indeed, Structure-Based Virtual Screening (SBVS) of 13 521 analog compounds to 4-carbamimidamidobenzoic acid,a potent TMPRSS2 inhibitor, was undertaken using FlexX program. Then, the top ranked 1000 compounds were re-scored using Glide Extra Precision (XP) and their binding mode into TMPRSS2 binding site was further analyzed in order to eliminate false positive ones. Finally, drug likeness and toxicity properties of the most promising inhibitors were predicted. Out of these, compounds S1 and S2 showed a higher TMPRSS2 inhibitory potency than that of GBS, the reference molecule. They also were predicted to occupy the entire TMPRSS2 binding site making a rational number of interactions. Still more remarkably, these two compounds were also predicted to have satisfying drug likeness properties, indicating that they might be promising lead compounds for further anti-SARS CoV-2 drug research.

Challenging Authority with Argumentation: The Pragmatics of Arguments from and to Authority

Authority is both a pragmatic condition of much public discourse and a form of argumentative appeal routinely used in it. The goal of this contribution is to propose a new account of challenging authority in argumentative discourse that benefits from the interplay of the resources of recent speech act theory and argumentation theory. Going beyond standard approaches of the two disciplines, the paper analyzes nuanced forms of establishing and, especially, challenging discourse-related authority. Can Donald Trump advise his own scientific advisors on potential COVID-19 treatments? Addressing questions like this, the paper identifies various paradoxes of authority and the forms of authority discussed in the literature. It then distinguishes between argument from authority (or expert opinion) and argument to authority (or expert opinion) and argues that this rearranged structure mutually benefits the pragmatic account of speech act theory and the schematic account of argumentation theory in the task of better understanding and critiquing discourses such as Trump’s.

Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase.

Repurposing of existing drugs is a rapid way to find potential new treatments for SARS-CoV-2. Here, we applied a virtual screening approach using Autodock Vina and molecular dynamic simulation in tandem to screen and calculate binding energies of repurposed drugs against the SARS-CoV-2 helicase protein (non-structural protein nsp13). Amongst the top hits from our study were antivirals, antihistamines, and antipsychotics, plus a range of other drugs. Approximately 30% of our top 87 hits had published evidence indicating in vivo or in vitro SARS-CoV-2 activity. Top hits not previously reported to have SARS-CoV-2 activity included the antiviral agents, cabotegravir and RSV-604; the NK1 antagonist, aprepitant; the trypanocidal drug, aminoquinuride; the analgesic, antrafenine; the anticancer intercalator, epirubicin; the antihistamine, fexofenadine; and the anticoagulant, dicoumarol. These hits from our in silico SARS-CoV-2 helicase screen warrant further testing as potential COVID-19 treatments.

In silico screening of some compounds derived from the desert medicinal plant Rhazya stricta for the potential treatment of COVID-19

The latest coronavirus pandemic (SARS-CoV-2) poses an exceptional threat to human health and society worldwide. The coronavirus (SARS-CoV-2) spike (S) protein, which is required for viral–host cell penetration, might be considered a promising and suitable target for treatment. In this study, we utilized the nonalkaloid fraction of the medicinal plant Rhazya stricta to computationally investigate its antiviral activity against SARS-CoV-2. Molecular docking and molecular dynamics simulations were the main tools used to examine the binding interactions of the compounds isolated by HPLC analysis. Ceftazidime was utilized as a reference control, which showed high potency against the SARS-CoV-2 receptor binding domain (RBD) in an in vitro study. The five compounds (CID:1, CID:2, CID:3, CID:4, and CID:5) exhibited remarkable binding affinities (CID:1, − 8.9; CID:2, − 8.7; and CID:3, 4, and 5, − 8.5 kcal/mol) compared to the control compound (− 6.2 kcal/mol). MD simulations over a period of 200 ns further corroborated that certain interactions occurred with the five compounds and the nonalkaloidal compounds retained their positions within the RBD active site. CID:2, CID:4, and CID:5 demonstrated high stability and less variance, while CID:1 and CID:3 were less stable than ceftazidime. The average number of hydrogen bonds formed per timeframe by CID:1, CID:2, CID:3, and CID:5 (0.914, 0.451, 1.566, and 1.755, respectively) were greater than that formed by ceftazidime (0.317). The total binding free energy calculations revealed that the five compounds interacted more strongly within RBD residues (CID:1 = − 68.8, CID:2 = − 71.6, CID:3 = − 74.9, CID:4 = − 75.4, CID:5 = − 60.9 kJ/mol) than ceftazidime (− 34.5 kJ/mol). The drug-like properties of the selected compounds were relatively similar to those of ceftazidime, and the toxicity predictions categorized these compounds into less toxic classes. Structural similarity and functional group analyses suggested that the presence of more H-acceptor atoms, electronegative atoms, acidic oxygen groups, and nitrogen atoms in amide or aromatic groups were common among the compounds with the lowest binding affinities. In conclusion, this in silico work predicts for the first time the potential of using five R. stricta nonalkaloid compounds as a treatment strategy to control SARS-CoV-2 viral entry.

공중보건 위기대응 의료제품의 개발 촉진 및 긴급 공급을 위한 특별법 고찰 및 FDA와 EMA의 유사 법안 비교 분석

Since the outbreak of the new strain of coronavirus (SARS-CoV-2, COVID-19) was first reported, regulatory authorities worldwide have issued various regulatory guidelines and recommendations. Global authorities are committed to supporting developers of potential vaccines and treatments for COVID-19. This study reviewed the guidelines and regulatory procedures instituted by authorities in the United States and Europe to understand the current perspectives of regulatory agencies worldwide and derive implications for public health emergency responses. The Act on Encouragement of Development and Emergency Circulation of Medical Countermeasures for public health emergencies enacted in 2021 established the Ministry of Food and Drug Safety (MFDS) to oversee policies for public health emergencies. In the US, the Public Law 113-5, the PHS Act, the PREP Act and the FD&C Act grant authorities emergency use power with respect to medical countermeasures needed during public health emergencies. The FDA can also facilitate the use of those medical countermeasures. The EMA has accelerated regulatory procedures in place for expediting the development and approval of medicinal products for COVID-19. The EMA’s rapid procedure includes rolling review, accelerated assessment and conditional marketing authorisation. Based on the review of foreign policies and practices regarding public health emergencies, this study showed that the Act on Encouragement of Development and Emergency Circulation of Medical Countermeasures for public health emergency responses has made important advances in public health emergency preparedness and response.