| Literature DB >> 33238464 |
Jay Trivedi1, Mahesh Mohan2, Siddappa N Byrareddy1,3,4.
Abstract
Development of novel antiviral molecules from the beginning costs an average of $350 million to $2 billion per drug, and the journey from the laboratory to the clinic takes about 10-15 years. Utilization of drug repurposing approaches has generated substantial interest in order to overcome these drawbacks. A drastic reduction in the failure rate, which otherwise is ~92%, is achieved with the drug repurposing approach. The recent exploration of the drug repurposing approach to combat the COVID-19 pandemic has further validated the fact that it is more beneficial to reinvestigate the in-practice drugs for a new application instead of designing novel drugs. The first successful example of drug repurposing is zidovudine (AZT), which was developed as an anti-cancer agent in the 1960s and was later approved by the US FDA as an anti-HIV therapeutic drug in the late 1980s after fast track clinical trials. Since that time, the drug repurposing approach has been successfully utilized to develop effective therapeutic strategies against a plethora of diseases. Hence, an extensive application of the drug repurposing approach will not only help to fight the current pandemics more efficiently but also predict and prepare for newly emerging viral infections. In this review, we discuss in detail the drug repurposing approach and its advancements related to viral infections such as Human Immunodeficiency Virus (HIV) and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).Entities:
Keywords: COVID-19; HIV; USFDA; drug repurposing/reprofiling; zidovudine
Year: 2020 PMID: 33238464 PMCID: PMC7700377 DOI: 10.3390/jcm9113777
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Figure 1Chemical structures of the drugs that are efficacious examples of drug repurposing approach and are approved by the FDA for their multiple applications. The chemical structures are adapted from (pubchem.ncbi.nlm.nih.gov/).
Overview of selected successful drug reprofiling candidates.
| Drug Name | Original Indication | New Indication | Year of Approval |
|---|---|---|---|
| Zidovudine | Cancer | AIDS | 1987 [ |
| Minoxidil | Hypertension | Hair loss | 1988 [ |
| Sildenafil | Angina | Erectile dysfunction | 1998 [ |
| Thalidomide | Morning sickness | Erythema nodosum leprosum and multiple myeloma | 1998 [ |
| Celecoxib | Pain and inflammation | Familial adenomatous polyps | 2000 [ |
| Atomoxetine | Parkinson disease | ADHD | 2002 [ |
| Duloxetine | Depression | SUI | 2004 [ |
| Rituximab | Various cancers | Rheumatoid arthritis | 2006 [ |
| Raloxifene | Osteoporosis | Breast cancer | 2007 [ |
| Fingolimod | Transplant rejection | MS | 2010 [ |
| Dapoxetine | Analgesia and depression | Premature ejaculation | 2012 [ |
| Topiramate | Epilepsy | Obesity | 2012 [ |
| Ketoconazole | Fungal infections | Cushing syndrome | 2014 [ |
| Aspirin | Analgesia | Colorectal cancer | 2015 [ |
AIDS = Acquired Immunodeficiency Syndrome. ADHD = Attention deficit hyperactivity disorder. SUI = Stress urinary incontinence. MS = Multiple Sclerosis.
Figure 2Schematic representation of time and resources associated with conventional development and characterization of novel anti-HIV drugs (A) versus drug repurposing approach (B).
Pros and cons associated with activity-based and in silico drug repositioning approaches.
| Approach | Advantages | Disadvantages |
|---|---|---|
| Activity-based | No limitation for in vitro cell-based as well as cell-free target-based screening assays | Time and labor-consuming and required highly skilled individuals |
| Easy to validate screening hits | Requires a large collection of existing drugs | |
| Reduced chances of false-positive hits during the screening | Requires the development and optimization of efficient | |
| Molecules with activities due to primary and secondary metabolites are also obtained | ||
| In silico | Not time and labor efficient | Requires detailed structural insight of target proteins both in normal as well as diseased conditions |
| No need for an entire collection of existing drugs | Increased rates of false-positive hits during the screening | |
| No need to develop a |
Summary of drugs being repurposed in clinical trials against COVID-19.
| Therapeutic Intervention | Class of the Drug/s | Clinical Condition/s of the Participants of the Trial | Trial Identification Number * | Phase |
|---|---|---|---|---|
| Hydroxychloroquine | Antimalarial and amebicide | 30 patients suffering from pneumonia due to COVID-19 | NCT04261517 | 3 |
| Chloroquine | Antimalarial and amebicide | 10,000 patients in a prophylaxis study for COVID-19 | NCT04303507 | N/A |
| Human immunoglobulin | Antibody | 80 patients suffering from pneumonia due to COVID-19 | NCT04261426 | 2 and 3 |
| Remdesivir | Nucleotide reverse transcriptase inhibitor | 452 patients suffering from a severe respiratory infection due to COVID-19 | NCT04257656 | 3 |
| Remdesivir | Nucleotide reverse transcriptase inhibitor | 308 patients with mild or moderate respiratory tract infection caused by COVID-19 | NCT04252664 | 3 |
| Arbidol (umifenovir) | Virus entry (Fusion) inhibitor | 380 patients suffering from Pneumonia caused by COVID-19 | NCT04260594 | 4 |
| Arbidol or lopinavir-ritonavir or oseltamivir | Combination of virus entry (Fusion) inhibitor and protease inhibitor | 400 patients infected with COVID-19 | NCT04255017 | 4 |
| Arbidol or lopinavir + ritonavir | Combination of virus entry (Fusion) inhibitor and protease inhibitor | 125 patients infected with COVID-19 | NCT04252885 | 4 |
| Darunavir + cobicistat | Protease inhibitor (Darunavir) in combination with Booster (cobicistat, a CYP3A inhibitor) | 30 patients suffering from Pneumonia caused by COVID-19 | NCT04252274 | 3 |
| TCM combination with lopinavir + ritonavir, α-interferon via aerosol | Cytokine in combination with protease inhibitor | 150 patients infected with COVID-19 | NCT04251871 | N/A |
| Recombinant human interferon α2β | Cytokine | 328 patients infected with COVID-19 | NCT04293887 | 1 |
| Carrimycin or lopinavir + ritonavir or arbidol or chloroquine phosphate | Antibiotic in combination with booster (arbidol) or antimalarial/ amebicide | 520 patients infected with COVID-19 | NCT04286503 | 4 |
| Danoprevir + ritonavir + interferon inhalation or lopinavir + ritonavir or TCM plus interferon inhalation | Protease inhibitors with cytokine as aerosol | 50 patients suffering from pneumonia caused by COVID-19 | NCT04291729 | 4 |
| Xiyanping or lopinavir-ritonavir-interferon inhalation | Anti-inflammatory (Xiyanping) or Protease inhibitors with cytokine | 384 patients with pneumonia caused by COVID-19 | NCT04275388 | N/A |
| Xiyanping combined with lopinavir + ritonavir | Anti-inflammatory (Xiyanping) in combination with Protease inhibitors | 80 patients infected with COVID-19 | NCT04295551 | N/A |
| Combinations of oseltamivir, favipiravir, and chloroquine | Neuraminidase (Oseltamivir) in combination with antimalarial/ amebicide | 80 patients infected with COVID-19 | NCT04303299 | 3 |
| Thalidomide | Angiogenesis inhibitor and immunomodulator | 40 patients infected with COVID-19 | NCT04273581 | 2 |
| Thalidomide | Angiogenesis inhibitor and immunomodulator | 100 patients suffering from pneumonia caused by COVID-19 | NCT04273529 | 2 |
| Vitamin C | Vitamin (Ascorbic acis) | 140 patients with severe pneumonia caused by COVID-19 | NCT04264533 | 2 |
| Methylprednisolone | Corticosteroid | 80 patients infected with COVID-19 | NCT04244591 | 2 |
| Pirfenidone | Pyridone | 294 patients with severe pneumonia caused by COVID-19 | NCT04282902 | 3 |
| Bromhexine hydrochloride | Mucolytics | 60 patients with suspected and mild pneumonia caused by COVID-19 | NCT04273763 | N/A |
| Bevacizumab | Monoclonal antibody | 20 patients with COVID-19 associated with severe pneumonia | NCT04275414 | 2 and 3 |
| Fingolimod | Sphingosine 1-phosphate receptor modulator | 30 patients infected with COVID-19 | NCT04280588 | N/A |
* Information source: clinicaltrial.gov. N/A = Not available.