Imatinib in COVID-19: hope and caution

Immunogenicity after vaccination of COVID-19 vaccines in patients with cancer: a prospective, single center, observational study

BACKGROUND

Patients with cancer, particularly those undergoing chemotherapy, are at risk from the low immunogenicity of Coronavirus Disease 19 (COVID-19) vaccines.

METHODS

This prospective study assessed the seroconversion rate of COVID-19 vaccines among patients with cancer and hospital staff. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein-specific IgG (S-IgG) concentrations were evaluated before the first vaccination, and 1-3 and 4-6 months after the second vaccination. The primary endpoint was the seroconversion rate measured 1-3 months after the second vaccine.

RESULTS

In total, 590 patients and 183 healthy hospital staff were analyzed. At 1-3 months after the second vaccination, the S-IgG antibody concentration exceeded the cut-off value (20 BAU/mL) in 96.1% (567/590) of the patients with cancer and 100% (183/183) of the healthy controls (p = 0.0024). At 4-6 months after the second vaccination, the S-IgG antibody concentration exceeded the cut-off value (20 BAU/ml for S-IgG) in 93.1% (461/495) of the patients with cancer and 100% (170/170) of the healthy controls (p < 0.0001). Old age, being male, and low lymphocyte count were related to low SARS-CoV-2 S-IgG levels 1-3 months after the second vaccination among patients, while body mass index, smoking history, and serum albumin level were not. Patients undergoing platinum combination therapy and alkylating agent among cytotoxic drugs, and PARP inhibitor, mTOR inhibitor, and BCR-ABL inhibitor exhibited a low S-IgG antibody concentration compared to the no treatment group.

CONCLUSIONS

COVID-19 vaccine immunogenicity was reduced among patients with cancer, especially under several treatment regimens.

A new framework for host-pathogen interaction research

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed.

Management of Severe and Critical COVID-19 Infection with Immunotherapies

Following the reduction in mortality demonstrated by dexamethasone treatment in severe COVID-19, many targeted immunotherapies have been investigated. Thus far, inhibition of IL-6 and JAK pathways have the most robust data and have been granted Emergency Use Authorization for treatment of severe disease. However, it must be noted that critically ill patients comprised a relatively small proportion of most of the trials of COVID-19 therapeutics, despite bearing a disproportionate burden of morbidity and mortality. Furthermore, the rapidity and fluidity with which clinical trials have been conducted in the pandemic setting have contributed to difficulty in extrapolating available trial data to critically ill patients. The exclusion of many patients requiring invasive mechanical ventilation, preponderance of ordinal scale based endpoints, and frequent lack of blinding are particular challenges. More data is needed to identify beneficial treatments in the complex milieu of critical illness from COVID-19 infection.

Drugs repurposing for SARS-CoV-2: new insight of COVID-19 druggability

INTRODUCTION

The ongoing epidemic of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) creates a massive panic worldwide due to the absence of effective medicines. Developing a new drug or vaccine is time-consuming to pass safety and efficacy testing. Therefore, repurposing drugs have been introduced to treat COVID-19 until effective drugs are developed.

AREA COVERED

A detailed search of repurposing drugs against SARS-CoV-2 was carried out using the PubMed database, focusing on articles published 2020 years onward. A different class of drugs has been described in this article to target hosts and viruses. Based on the previous pandemic experience of SARS-CoV and MERS, several antiviral and antimalarial drugs are discussed here. This review covers the failure of some repurposed drugs that showed promising activity in the earlier CoV-pandemic but were found ineffective against SARS-CoV-2. All these discussions demand a successful drug development strategy for screening and identifying an effective drug for better management of COVID-19. The drug development strategies described here will serve a new scope of research for academicians and researchers.

EXPERT OPINION

Repurposed drugs have been used since COVID-19 to eradicate disease propagation. Drugs found effective for MERS and SARS may not be effective against SARS-CoV-2. Drug libraries and artificial intelligence are helpful tools to screen and identify different molecules targeting viruses or hosts.

In silico and in vitro evaluation of imatinib as an inhibitor for SARS-CoV-2

The rapid geographic expansion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the infectious agent of Coronavirus Disease 2019 (COVID-19) pandemic, poses an immediate need for potent drugs. Enveloped viruses infect the host cell by cellular membrane fusion, a crucial mechanism required for virus replication. The SARS-CoV-2 spike glycoprotein, due to its primary interaction with the human angiotensin-converting enzyme 2 (ACE2) cell-surface receptor, is considered a potential target for drug development. In this study, around 5,800 molecules were virtually screened using molecular docking. Five molecules were selected for in vitro experiments from those that reported docking scores lower than -6 kcal/mol. Imatinib, a Bcr-Abl tyrosine kinase inhibitor, showed maximum antiviral activity in Vero cells. We further investigated the interaction of imatinib, a compound under clinical trials for the treatment of COVID-19, with SARS-CoV-2 RBD, using in silico methods. Molecular dynamics simulations verified that imatinib interacts with RBD residues that are critical for ACE2 binding. This study also provides significant molecular insights on potential repurposable small-molecule drugs and chemical scaffolds for the development of novel drugs targeting the SARS-CoV-2 spike RBD.Communicated by Ramaswamy H. Sarma.

Host-modifying drugs against COVID-19: some successes, but not yet the breakthrough

After reviewing antiviral drugs (Brüssow Environmental Microbiology 2021) the present review summarizes the results of clinical trials with host‐modifying drugs in COVID‐19 patients. Clinical benefits were observed with different immunomodulators. The variable outcomes of trials with the interleukin 6 receptor inhibitor tocilizumab demonstrated that treatment benefits might only be present in specific subgroups of patients or in specific infection stages. A meta‐analysis of trials with the interleukin 1 receptor antagonist anakinra showed a survival benefit only in patients with hyperinflammation. The Janus kinase inhibitor baricitinib is an anti‐inflammatory treatment that showed a clinical benefit in hospitalized patients who do not yet need supplementary oxygen. In contrast, the corticosteroid dexamethasone showed mortality reducing effects that were limited to patients on ventilation or in need of supplementary oxygen. Therapeutic dose of anticoagulation met the criteria for inferiority in severe cases, but showed a small survival benefit in non‐severe COVID‐19 patients. Large trials with colchicine showed a small or no survival benefit. Azithromycin, an antibiotic with immunomodulatory activity, showed no effects in numerous clinical trials. The trials showed a clear need for new drugs instead of repurposed drugs and drugs that specifically target the SARS‐CoV‐2 virus or the pathology developing in COVID‐19 patients.