Digital intervention to reduce counterfeit and falsified medicines: A systematic review and future research agenda

Counterfeit and falsified medicines have become a threat to public health around the world. The objective of this review study is to analyze all the relevant studies on preventing or reducing falsified and counterfeit medicines through digital intervention following a Systematic Literature Review (SLR) approach. A total of 51 articles were reviewed from an initial set of 1253 articles following an inclusion-exclusion criterion. As an outcome, this review study found that falsified and counterfeit medicines have become a crucial issue for research and investigation over time. Various advanced technologies (like Blockchain, IoT, RFID, image processing, pattern recognition, etc.) are being used to fight against this issue efficiently. The review also reveals future research opportunities to facilitate the existing initiatives for preventing medicine counterfeit that includes: exploring the implications of emerging technologies;discovering the contaminated point over the medicine supply chain;investigating the less emphasized concern of counterfeit and falsified medicines;exploring all possible use-cases or features of any digital solution to reduce falsified and counterfeit medicines;and the development of counterfeit/ falsified incidents reporting system. Thus, the implication of this study is to discover the research gaps and provide future research directions focusing on the prevention of usage of falsified and counterfeit medicines through the effective use of Information and Communication Technology (ICT). (c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

The efficacy of Zafirlukast as a SARS-CoV-2 helicase inhibitor in adult patients with moderate COVID-19 Pneumonia (pilot randomized clinical trial).

OBJECTIVE: To assess the efficacy of Zafirlukast as a SARS-CoV-2 Helicase Inhibitor in adult patients with moderate COVID-19 symptoms (hospitalized patients with COVID-19 pneumonia who were not admitted to an intensive care unit). METHODS: We conducted a randomized, double blind, placebo-controlled, pilot trial with adult patients with moderate COVID-19 pneumonia. The sample was randomized to Zafirlukast 10 mg BD for 10 days plus standard care vs placebo plus standard care. The primary outcome was the complete resolution of all symptoms. The secondary outcomes were the duration of oxygen therapy, and length of hospital stay (LOS). RESULTS: In total, 40 patients were randomized (20 to Zafirlukast and 20 to the control). The time to the resolution of clinical symptoms in both groups was not significantly different. Regarding the fever, 0.3 days [95 % CI, - 1.19, 0.69], p = 0.76, for shortness of breath, the difference was 0.4 days [95 % CI, - 2.67, 3.46], p = 0.68, for cough the difference was 0.2 days [95 % CI, - 1.45, 1.95], p = 0.98, for sputum the difference was 0.5 days [95 % CI, - 0.75, 1.85], p = 0.09, for vomiting the difference was 0.1 days [95 % CI, - 0.50, 0.30], p = 0.93, for fatigue the difference was 0.3 days [95 % CI, - 4.32, 3.62], p = 0.64. The LOS per day for the two groups was not significantly different, 1.1 days [95 % CI,- 2.03, 4.28], p = 0.94, nor was the duration of oxygen therapy per days, 1.3 days [95 % CI, - 1.79, 4.49], p = 0.49. Regarding the 7 category ordinary scale, there was no significant difference between the two groups at day 7 (p-value = 0.62), day 14 (p-value = 0.60) and day 28 (p-value = 0.48). CONCLUSION: Among adult patients hospitalized with COVID-19 pneumonia, the treatment with Zafirlukast, compared to placebo, did not significantly improve symptoms resolution.

Discovery of Zafirlukast as a novel SARS-CoV-2 helicase inhibitor using in silico modelling and a FRET-based assay.

The coronavirus helicase is an essential enzyme required for viral replication/transcription pathways. Structural studies revealed a sulphate moiety that interacts with key residues within the nucleotide-binding site of the helicase. Compounds with a sulphoxide or a sulphone moiety could interfere with these interactions and consequently inhibit the enzyme. The molecular operating environment (MOE) was used to dock 189 sulphoxide and sulphone-containing FDA-approved compounds to the nucleotide-binding site. Zafirlukast, a leukotriene receptor antagonist used to treat chronic asthma, achieved the lowest docking score at -8.75 kcals/mol. The inhibitory effect of the compounds on the SARS-CoV-2 helicase dsDNA unwinding activity was tested by a FRET-based assay. Zafirlukast was the only compound to inhibit the enzyme (IC50 = 16.3 µM). The treatment of Vero E6 cells with 25 µM zafirlukast prior to SARS-CoV-2 infection decreased the cytopathic effects of SARS-CoV-2 significantly. These results suggest that zafirlukast alleviates SARS-CoV-2 pathogenicity by inhibiting the viral helicase and impairing the viral replication/transcription pathway. Zafirlukast could be clinically developed as a new antiviral treatment for SARS-CoV-2 and other coronavirus diseases. This discovery is based on molecular modelling, in vitro inhibition of the SARS-CoV helicase activity and cell-based SARS-CoV-2 viral replication.

Using in silico modelling and FRET-based assays in the discovery of novel FDA-approved drugs as inhibitors of MERS-CoV helicase.

A Förster resonance energy transfer (FRET)-based assay was used to screen the FDA-approved compound library against the MERS-CoV helicase, an essential enzyme for virus replication within the host cell. Five compounds inhibited the helicase activity with submicromolar potencies (IC50, 0.73-1.65 µM) and ten compounds inhibited the enzyme with micromolar potencies (IC50, 19.6-502 µM). The molecular operating environment (MOE) was used to dock the identified inhibitors on the MERS-CoV helicase nucleotide binding. Strong inhibitors docked well in the nucleotide-binding site and established interactions with some of the essential residues. There was a reasonable correlation between the observed IC50 values and the MOE docking scores of the strong inhibitors (r 2 = 0.74), indicating the ability of the in silico docking model to predict the binding of strong inhibitors. In silico docking could be a useful complementary tool used with the FRET-based assay to predict new MERS-CoV helicase inhibitors. The identified inhibitors could potentially be used in the clinical development of new antiviral treatment for MERS-CoV and other coronavirus related diseases, including coronavirus disease 2019 (COVID-19).