Drug Discov Today. 2021 May 20:S1359-6446(21)00240-3. doi: 10.1016/j.drudis.2021.05.008. Online ahead of print.

ABSTRACT

Effective therapeutics to combat emerging viral infections are an unmet need. Historically, treatments for chronic viral infections with single drugs have not been successful, as exemplified by HIV and hepatitis C virus (HCV) infections. Combination therapy for these diseases has led to improved clinical outcomes with dramatic reductions in viral load, morbidity, and mortality. Drug combinations can enhance therapeutic efficacy through additive, and ideally synergistic, effects for emerging and re-emerging viruses, such as influenza, severe acute respiratory syndrome-coronavirus (SARS-CoV), Middle East respiratory syndrome (MERS)-CoV, Ebola, Zika, and SARS-coronavirus 2 (CoV-2). Although novel drug development through traditional pipelines remains a priority, in the interim, effective synergistic drug candidates could be rapidly identified by drug-repurposing screens, facilitating accelerated paths to clinical testing and potential emergency use authorizations.

PMID:34023496 | DOI:10.1016/j.drudis.2021.05.008

Tuberculosis (Edinb). 2021 May 15;128:102087. doi: 10.1016/j.tube.2021.102087. Online ahead of print.

ABSTRACT

Mycobacterium tuberculosis is the major etiological agent for tuberculosis (TB), which is the leading cause of single pathogen infection-related deaths worldwide. The End TB Strategy of the World Health Organization aimed to decrease the incidence of TB by 20% between 2015 and 2020, which was not achieved. Here, the growth-inhibitory effects of tris-(1,10-phenanthroline) iron (II) complex ([Fe(phen)3]2+), a known commercially available cheap chemical substance, were examined. The best in vitro results showed great activity with MIC ranging from 0.77 to 3.06 μM against clinical strains and at low pH (mimicking the granuloma) with MIC of 0.21 μM. Preliminary safety analysis revealed that the complex did not exhibit cytotoxic activity against different cell lines or mutagenic activity in vitro. The complex was orally bioavailable after 2 h of administration in vivo. Additionally, the results of the acute toxicity test revealed that the complex did not exert toxic effects in female BALB/c mice. The mechanism of action was performed using D29 mycobacteriophages where the treatment with different concentrations of the complex inhibited viral protein synthesis, which indicated that the anti-TB mechanisms of the complex involve protein synthesis inhibition. These findings suggested that [Fe(phen)3]2+ is a potential novel therapeutic for TB.

PMID:34022507 | DOI:10.1016/j.tube.2021.102087

Cancer Lett. 2021 May 19:S0304-3835(21)00212-3. doi: 10.1016/j.canlet.2021.05.006. Online ahead of print.

ABSTRACT

Overexpression of interferon induced transmembrane protein-1 (IFITM1) enhances tumor progression in multiple cancers, but its role in triple-negative breast cancer (TNBC) is unknown. Here, we explore the functional significance and regulation of IFITM1 in TNBC and strategies to target its expression. Immunohistochemistry staining of a tissue microarray demonstrates that IFITM1 is overexpressed in TNBC samples which is confirmed by TCGA analysis. Targeting IFITM1 by siRNA or CRISPR/Cas9 in TNBC cell lines significantly inhibits proliferation, colony formation, and wound healing in vitro. Orthotopic mammary fat pad and mammary intraductal studies reveal that loss of IFITM1 reduces TNBC tumor growth and invasion in vivo. RNA-seq analysis of IFITM1/KO cells reveals significant downregulation of several genes involved in proliferation, migration, and invasion and functional studies identified NF-κB as an important downstream target of IFITM1. Notably, siRNA knockdown of p65 reduces IFITM1 expression and a drug-repurposing screen of FDA approved compounds identified parthenolide, an NFκB inhibitor, as a cytotoxic agent for TNBC and an inhibitor of IFITM1 in vitro and in vivo. Overall, our findings suggest that targeting IFITM1 by suppressing interferon-alpha/NFκB signaling represents a novel therapeutic strategy for TNBC treatment.

PMID:34022283 | DOI:10.1016/j.canlet.2021.05.006

Alzheimers Res Ther. 2021 May 21;13(1):103. doi: 10.1186/s13195-021-00842-3.

ABSTRACT

BACKGROUND: Old age, the most important risk factor for Alzheimer's disease (AD), is associated with thermoregulatory deficits. Brown adipose tissue (BAT) is the main thermogenic driver in mammals and its stimulation, through β3 adrenergic receptor (β3AR) agonists or cold acclimation, counteracts metabolic deficits in rodents and humans. Studies in animal models show that AD neuropathology leads to thermoregulatory deficits, and cold-induced tau hyperphosphorylation is prevented by BAT stimulation through cold acclimation. Since metabolic disorders and AD share strong pathogenic links, we hypothesized that BAT stimulation through a β3AR agonist could exert benefits in AD as well.

METHODS: CL-316,243, a specific β3AR agonist, was administered to the triple transgenic mouse model of AD (3xTg-AD) and non-transgenic controls from 15 to 16 months of age at a dose of 1 mg/kg/day i.p.

RESULTS: Here, we show that β3AR agonist administration decreased body weight and improved peripheral glucose metabolism and BAT thermogenesis in both non-transgenic and 3xTg-AD mice. One-month treatment with a β3AR agonist increased recognition index by 19% in 16-month-old 3xTg-AD mice compared to pre-treatment (14-month-old). Locomotion, anxiety, and tau pathology were not modified. Finally, insoluble Aβ42/Aβ40 ratio was decreased by 27% in the hippocampus of CL-316,243-injected 3xTg-AD mice.

CONCLUSIONS: Overall, our results indicate that β3AR stimulation reverses memory deficits and shifts downward the insoluble Aβ42/Aβ40 ratio in 16-month-old 3xTg-AD mice. As β3AR agonists are being clinically developed for metabolic disorders, repurposing them in AD could be a valuable therapeutic strategy.

PMID:34020681 | DOI:10.1186/s13195-021-00842-3

Ann Clin Microbiol Antimicrob. 2021 May 21;20(1):37. doi: 10.1186/s12941-021-00444-9.

ABSTRACT

BACKGROUND: Drug repurposing otherwise known as drug repositioning or drug re-profiling is a time-tested approach in drug discovery through which new medical uses are being established for already known drugs. Antibiotics are among the pharmacological agents being investigated for potential anti-SARS-COV-2 activities. The antibiotics are used either to resolve bacterial infections co-existing with COVID-19 infections or exploitation of their potential antiviral activities. Herein, we aimed to review the various antibiotics that have been repositioned for the management of COVID-19.

METHODS: This literature review was conducted from a methodical search on PubMed and Web of Science regarding antibiotics used in patients with COVID-19 up to July 5, 2020.

RESULTS: Macrolide and specifically azithromycin is the most common antibiotic used in the clinical management of COVID-19. The other antibiotics used in COVID-19 includes teicoplanin, clarithromycin, doxycycline, tetracyclines, levofloxacin, moxifloxacin, ciprofloxacin, and cefuroxime. In patients with COVID-19, antibiotics are used for their immune-modulating, anti-inflammatory, and antiviral properties. The precise antiviral mechanism of most of these antibiotics has not been determined. Moreover, the use of some of these antibiotics against SARS-CoV-2 infection remains highly controversial and not widely accepted.

CONCLUSION: The heavy use of antibiotics during the COVID-19 pandemic would likely worsen antibiotic resistance crisis. Consequently, antibiotic stewardship should be strengthened in order to prevent the impacts of COVID-19 on the antibiotic resistance crisis.

PMID:34020659 | DOI:10.1186/s12941-021-00444-9

Front Chem. 2021 May 4;9:661230. doi: 10.3389/fchem.2021.661230. eCollection 2021.

ABSTRACT

The rapid and global spread of a new human coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has produced an immediate urgency to discover promising targets for the treatment of COVID-19. Here, we consider drug repurposing as an attractive approach that can facilitate the drug discovery process by repurposing existing pharmaceuticals to treat illnesses other than their primary indications. We review current information concerning the global health issue of COVID-19 including promising approved drugs, e.g., human angiotensin-converting enzyme inhibitors (hACEIs). Besides, we describe computational approaches to be used in drug repurposing and highlight examples of in-silico studies of drug development efforts against SARS-CoV-2. Alacepril and lisinopril were found to interact with human angiotensin-converting enzyme 2 (hACE2), the host entranceway for SARS-CoV-2 spike protein, through exhibiting the most acceptable rmsd_refine values and the best binding affinity through forming a strong hydrogen bond with Asn90, which is assumed to be essential for the activity, as well as significant extra interactions with other receptor-binding residues. Furthermore, molecular dynamics (MD) simulations followed by calculation of the binding free energy were also carried out for the most promising two ligand-pocket complexes from docking studies (alacepril and lisinopril) to clarify some information on their thermodynamic and dynamic properties and confirm the docking results as well. These results we obtained probably provided an excellent lead candidate for the development of therapeutic drugs against COVID-19. Eventually, animal experiments and accurate clinical trials are needed to confirm the potential preventive and treatment effect of these compounds.

PMID:34017819 | PMC:PMC8129187 | DOI:10.3389/fchem.2021.661230

Front Pharmacol. 2021 May 4;12:660710. doi: 10.3389/fphar.2021.660710. eCollection 2021.

ABSTRACT

Emerging or re-emerging viruses are still major threats to public health. Prophylactic vaccines represent the most effective way to prevent virus infection; however, antivirals are more promising for those viruses against which vaccines are not effective enough or contemporarily unavailable. Because of the slow pace of novel antiviral discovery, the high disuse rates, and the substantial cost, repurposing of the well-characterized therapeutics, either approved or under investigation, is becoming an attractive strategy to identify the new directions to treat virus infections. In this review, we described recent progress in identifying broad-spectrum antivirals through drug repurposing. We defined the two major categories of the repurposed antivirals, direct-acting repurposed antivirals (DARA) and host-targeting repurposed antivirals (HTRA). Under each category, we summarized repurposed antivirals with potential broad-spectrum activity against a variety of viruses and discussed the possible mechanisms of action. Finally, we proposed the potential investigative directions of drug repurposing.

PMID:34017257 | PMC:PMC8129523 | DOI:10.3389/fphar.2021.660710

Tuberc Respir Dis (Seoul). 2021 May 20. doi: 10.4046/trd.2021.0075. Online ahead of print.

ABSTRACT

The lack of effective medications for COVID-19 has led to a trend of drug repurposing, such as the case of Azithromycin, which showed an immunomodulatory and anti-viral effect. Several clinical trials have shown conflicting results and it is not clear whether the available evidence is in favour or against the use of Azithromycin in COVID-19 patients. We aim to investigate the efficacy and safety of Azithromycin in COVID-19 patients. Four independent reviewers selected relevant studies from PubMed, ScienceDirect, EBSCO, and ProQuest published prior to March 2021. The protocol used in this study has been registered in PROSPERO (CRD42020224967). We included 17 studies and demonstrated that the mortality rate (OR=0.95, 95% CI [0.76, 1.19]), need of respiratory support (OR=1.30, 95% CI [0.98, 1.73]), hospitalization rate (SMD=0.12, 95% CI [-0.02, 0.27]) and ICU transfer (OR=1.21, 95% CI [0.79, 1.86]) of Azithromycin-treated group did not differ (P>0.05) from control group. Azithromycin treatment did not significantly increase the risk of getting secondary infection (OR=1.23, 95% CI [0.83, 1.82]), hypoglycemia (OR=0.73, 95% CI [0.38, 1.40]), gastrointestinal problems (OR=1.03, 95% CI [0.73, 1.45]) and electrocardiogram (ECG) abnormalities (OR=1.16, 95% CI [0.94, 1.42]). The overall quality of evidence was ranging from low-to-very low. Azithromycin did not give a superior clinical improvement in COVID-19 patients, even though it was well-tolerated and safe to use.

PMID:34015868 | DOI:10.4046/trd.2021.0075

Carbohydr Res. 2021 May 3;505:108326. doi: 10.1016/j.carres.2021.108326. Online ahead of print.

ABSTRACT

The viral infection caused by SARS-CoV-2 has increased the mortality rate and engaged several adverse effects on the affected individuals. Currently available antiviral drugs have found to be unsuccessful in the treatment of COVID-19 patients. The demand for efficient antiviral drugs has created a huge burden on physicians and health workers. Plasma therapy seems to be less accomplishable due to insufficient donors to donate plasma and low recovery rate from viral infection. Repurposing of antivirals has been evolved as a suitable strategy in the current treatment and preventive measures. The concept of drug repurposing represents new experimental approaches for effective therapeutic benefits. Besides, SARS-CoV-2 exhibits several complications such as lung damage, blood clot formation, respiratory illness and organ failures in most of the patients. Based on the accumulation of data, sulfated marine polysaccharides have exerted successful inhibition of virus entry, attachment and replication with known or unknown possible mechanisms against deadly animal and human viruses so far. Since the virus entry into the host cells is the key process, the prevention of such entry mechanism makes any antiviral strategy effective. Enveloped viruses are more sensitive to polyanions than non-enveloped viruses. Besides, the viral infection caused by RNA virus types embarks severe oxidative stress in the human body that leads to malfunction of tissues and organs. In this context, polysaccharides play a very significant role in providing shielding effect against the virus due to their polyanionic rich features and a molecular weight that hinders their reactive surface glycoproteins. Significantly the functional groups especially sulfate, sulfate pattern and addition, uronic acids, monosaccharides, glycosidic linkage and high molecular weight have greater influence in the antiviral activity. Moreover, they are very good antioxidants that can reduce the free radical generation and provokes intracellular antioxidant enzymes. Additionally, polysaccharides enable a host-virus immune response, activate phagocytosis and stimulate interferon systems. Therefore, polysaccharides can be used as candidate drugs, adjuvants in vaccines or combination with other antivirals, antioxidants and immune-activating nutritional supplements and antiviral materials in healthcare products to prevent SARS-CoV-2 infection.

PMID:34015720 | DOI:10.1016/j.carres.2021.108326

Int J Biol Macromol. 2021 May 17:S0141-8130(21)00957-0. doi: 10.1016/j.ijbiomac.2021.04.184. Online ahead of print.

ABSTRACT

Ebola Virus (EBOV) is one of the deadliest pathogenic virus which causes hemorrhagic fever. Though many Ebola-human interaction studies and databases are already reported, the unavailability of an adequate model and lack of publically accessible resources requires a comprehensive study to curate the Ebola-Human-Drug interactions. In total, 270 human proteins interacted with EBOV are collected from published experimental evidence. Then the protein-protein interaction networks are generated as EBOV-human and EBOV-Human-Drugs interaction. These results can help the researcher to find the effective repurposed drug for EBOV EBOV treatment. Further, the illustration of gene enrichment and pathway analysis would provide knowledge and insight of EBOV-human interaction describes the importance of the study. Investigating the networks may help to identify a suitable human-based drug target for ebola research community. The inclusion of an emerging concept, a human-based drug targeted therapy plays a very significant role in drug repurposing which reduces the time and effort is the highlight of the current research. An integrated database namely, Ebolabase has been developed and linked with other repositories such as Epitopes, Structures, Literature, Genomics and Proteomics. All generated networks are made to be viewed in a customized manner and the required data can be downloaded freely. The Ebolabase is available at http://ebola.bicpu.edu.in.

PMID:34015403 | DOI:10.1016/j.ijbiomac.2021.04.184

IEEE/ACM Trans Comput Biol Bioinform. 2021 May 20;PP. doi: 10.1109/TCBB.2021.3082466. Online ahead of print.

ABSTRACT

In-silico drug repositioning or predicting new indications for approved or late-stage clinical trial drugs is a resourceful and time-ecient strategy in drug discovery. However, inferring novel candidate drugs for a disease is challenging, given the heterogeneity and sparseness of the underlying biological entities and their relationships (e.g., disease/drug annotations). By integrating drug-centric and disease-centric annotations as multiviews, we propose a multi-view graph attention network for indication discovery (MGATRx). Unlike most current similaritybased methods, we employ graph attention network on the heterogeneous drug and disease data to learn the representation of nodes and identify associations. MGATRx outperformed four other state-of-art methods used for computational drug repositioning. Further, several of our predicted novel indications are either currently investigated or are supported by literature evidence, demonstrating the overall translational utility of MGATRx.

PMID:34014830 | DOI:10.1109/TCBB.2021.3082466

Adv Exp Med Biol. 2021;1311:229-248. doi: 10.1007/978-3-030-65768-0_17.

ABSTRACT

Despite the many recent breakthroughs in cancer research, oncology has traditionally been seen as a distinct field from other diseases. Recently, more attention has been paid to repurposing established therapeutic strategies and targets of other diseases towards cancer treatment, with some of these attempts generating promising outcomes [1, 2]. Recent studies using advanced metabolomics technologies [3] have shown evidence of close metabolic similarities between cancer and neurological diseases. These studies have unveiled several metabolic characteristics shared by these two categories of diseases, including metabolism of glutamine, gamma-aminobutyric acid (GABA), and N-acetyl-aspartyl-glutamate (NAAG) [4-6]. The striking metabolic overlap between cancer and neurological diseases sheds light on novel therapeutic strategies for cancer treatment. For example, 2-(phosphonomethyl) pentanedioic acid (2-PMPA), one of the glutamate carboxypeptidase II (GCP II) inhibitors that prevent the conversion of NAAG to glutamate, has been shown to suppress cancer growth [6, 7]. These promising results have led to an increased interest in integrating this metabolic overlap between cancer and neurological diseases into the study of cancer metabolism. The advantages of studying this metabolic overlap include not only drug repurposing but also translating existing knowledge from neurological diseases to the field of cancer research. This chapter discusses the specific overlapping metabolic features between cancer and neurological diseases, focusing on glutamine, GABA, and NAAG metabolisms. Understanding the interconnections between cancer and neurological diseases will guide researchers and clinicians to find more effective cancer treatments.

PMID:34014547 | DOI:10.1007/978-3-030-65768-0_17

Brief Bioinform. 2021 May 19:bbab159. doi: 10.1093/bib/bbab159. Online ahead of print.

ABSTRACT

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between them, and integrate multi-omic datasets - amongst other data types. Herein, we present a multidisciplinary academic-industrial review of the topic within the context of drug discovery and development. After introducing key terms and modelling approaches, we move chronologically through the drug development pipeline to identify and summarize work incorporating: target identification, design of small molecules and biologics, and drug repurposing. Whilst the field is still emerging, key milestones including repurposed drugs entering in vivo studies, suggest GML will become a modelling framework of choice within biomedical machine learning.

PMID:34013350 | DOI:10.1093/bib/bbab159

Brief Bioinform. 2021 May 19:bbab161. doi: 10.1093/bib/bbab161. Online ahead of print.

ABSTRACT

The basis of several recent methods for drug repurposing is the key principle that an efficacious drug will reverse the disease molecular 'signature' with minimal side effects. This principle was defined and popularized by the influential 'connectivity map' study in 2006 regarding reversal relationships between disease- and drug-induced gene expression profiles, quantified by a disease-drug 'connectivity score.' Over the past 15 years, several studies have proposed variations in calculating connectivity scores toward improving accuracy and robustness in light of massive growth in reference drug profiles. However, these variations have been formulated inconsistently using various notations and terminologies even though they are based on a common set of conceptual and statistical ideas. Therefore, we present a systematic reconciliation of multiple disease-drug similarity metrics ($ES$, $css$, $Sum$, $Cosine$, $XSum$, $XCor$, $XSpe$, $XCos$, $EWCos$) and connectivity scores ($CS$, $RGES$, $NCS$, $WCS$, $Tau$, $CSS$, $EMUDRA$) by defining them using consistent notation and terminology. In addition to providing clarity and deeper insights, this coherent definition of connectivity scores and their relationships provides a unified scheme that newer methods can adopt, enabling the computational drug-development community to compare and investigate different approaches easily. To facilitate the continuous and transparent integration of newer methods, this article will be available as a live document (https://jravilab.github.io/connectivity_scores) coupled with a GitHub repository (https://github.com/jravilab/connectivity_scores) that any researcher can build on and push changes to.

PMID:34013329 | DOI:10.1093/bib/bbab161

Front Genet. 2021 May 3;12:666575. doi: 10.3389/fgene.2021.666575. eCollection 2021.

ABSTRACT

Drug repositioning is used to find new uses for existing drugs, effectively shortening the drug research and development cycle and reducing costs and risks. A new model of drug repositioning based on ensemble learning is proposed. This work develops a novel computational drug repositioning approach called CMAF to discover potential drug-disease associations. First, for new drugs and diseases or unknown drug-disease pairs, based on their known neighbor information, an association probability can be obtained by implementing the weighted K nearest known neighbors (WKNKN) method and improving the drug-disease association information. Then, a new drug similarity network and new disease similarity network can be constructed. Three prediction models are applied and ensembled to enable the final association of drug-disease pairs based on improved drug-disease association information and the constructed similarity network. The experimental results demonstrate that the developed approach outperforms recent state-of-the-art prediction models. Case studies further confirm the predictive ability of the proposed method. Our proposed method can effectively improve the prediction results.

PMID:34012464 | PMC:PMC8128144 | DOI:10.3389/fgene.2021.666575

Curr Med Chem. 2021;28(11):2083-2084. doi: 10.2174/092986732811210416084626.

NO ABSTRACT

PMID:34011254 | DOI:10.2174/092986732811210416084626

Brief Bioinform. 2021 May 1:bbab114. doi: 10.1093/bib/bbab114. Online ahead of print.

ABSTRACT

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is undeniably the most severe global health emergency since the 1918 Influenza outbreak. Depending on its evolutionary trajectory, the virus is expected to establish itself as an endemic infectious respiratory disease exhibiting seasonal flare-ups. Therefore, despite the unprecedented rally to reach a vaccine that can offer widespread immunization, it is equally important to reach effective prevention and treatment regimens for coronavirus disease 2019 (COVID-19). Contributing to this effort, we have curated and analyzed multi-source and multi-omics publicly available data from patients, cell lines and databases in order to fuel a multiplex computational drug repurposing approach. We devised a network-based integration of multi-omic data to prioritize the most important genes related to COVID-19 and subsequently re-rank the identified candidate drugs. Our approach resulted in a highly informed integrated drug shortlist by combining structural diversity filtering along with experts' curation and drug-target mapping on the depicted molecular pathways. In addition to the recently proposed drugs that are already generating promising results such as dexamethasone and remdesivir, our list includes inhibitors of Src tyrosine kinase (bosutinib, dasatinib, cytarabine and saracatinib), which appear to be involved in multiple COVID-19 pathophysiological mechanisms. In addition, we highlight specific immunomodulators and anti-inflammatory drugs like dactolisib and methotrexate and inhibitors of histone deacetylase like hydroquinone and vorinostat with potential beneficial effects in their mechanisms of action. Overall, this multiplex drug repurposing approach, developed and utilized herein specifically for SARS-CoV-2, can offer a rapid mapping and drug prioritization against any pathogen-related disease.

PMID:34009288 | DOI:10.1093/bib/bbab114

Med Oncol. 2021 May 18;38(6):71. doi: 10.1007/s12032-021-01521-x.

ABSTRACT

Endometrial cancer (EMC) is one of the complicated gynecological cancers, affecting more than three million women worldwide. Anticancer strategies such as chemotherapy, radiation, and surgery are found to be ineffective and are associated with patient incompliances. The aim of the present study is to repurpose non-oncological drug, i.e., Pioglitazone, a peroxisome proliferator-activated receptor gamma (PPAR-γ) agonist, in the treatment of endometrial cancer. The study groups consist of 50 female Swiss albino mice, out of which 40 had endometrial cancer induced with N-ethyl-N-nitrosourea (ENU) and estradiol hexadrobenzoate (EHB). The other groups received saline, EHB, paclitaxel, and different test doses of pioglitazones. Different preliminary parameters such as weekly body weight, mean survival time, percentage increase in life span, and uterine tissue weight were analyzed along with histopathological analysis. We observed a significant change in weekly body weight, improvement in percentage life span, and partial restoration of uterine tissue weight to normal compared to a standard drug, paclitaxel. In the present preliminary evaluation, we have identified that pioglitazone exhibited a significant dose-dependent anticancer activity against ENU- and EHB-induced endometrial cancer, compared to the standard paclitaxel.

PMID:34008039 | DOI:10.1007/s12032-021-01521-x

Tuberculosis (Edinb). 2021 May 13;128:102089. doi: 10.1016/j.tube.2021.102089. Online ahead of print.

ABSTRACT

Antimalarial drugs have been suggested as promising scaffolds with anti-tubercular activities. In this work, we demonstrated, for the first time, the effectiveness of tafenoquine against mycobacteria. Firstly, tafenoquine inhibited the growth of Mycobacterium smegmatis and Mycobacterium tuberculosis with lower MICs values as compared to other antimalarial drugs, such as mefloquine, chloroquine, and primaquine. Importantly, tafenoquine was active against three multi-drug resistant strains of M. tuberculosis with MIC values similar to pan-sensitive strains, suggesting that tafenoquine is capable of evading the major mechanisms of resistance found in drug-resistant clinical isolates of M. tuberculosis. Importantly, tafenoquine displayed a synergistic effect when combined with mefloquine. In addition, tafenoquine displayed an improved activity compared to the groups treated with both isoniazid and rifampicin in the six-week nutrient starved M. tuberculosis cultures. This finding suggests that further investigations of tafenoquine against dormant mycobacteria are worth pursuing. Moreover, different concentrations of tafenoquine ranging from 1.25 to 80 μM displayed different effects against M. tuberculosis, from moderate (reduction of a 1.8 log CFU/mL) to potent bactericidal (reduction of a 4.2 log CFU/mL) activities. Tafenoquine may represent a hit for further drug optimization and for future clinical development as a new anti-mycobacterial agent, especially in cases of resistant and/or dormant forms of tuberculosis.

PMID:34004588 | DOI:10.1016/j.tube.2021.102089

Comput Biol Med. 2021 May 7;134:104470. doi: 10.1016/j.compbiomed.2021.104470. Online ahead of print.

ABSTRACT

Osteosarcoma (OS) is an aggressive bone malignancy and the third most common cancer in adolescence. Since the late 1970s, OS therapy and prognosis had only modest improvements, making it appealing to explore new tools that could help ameliorate the treatment. We present a meta-analysis of the gene expression signature of primary OS, and propose small molecules that could reverse this signature. The meta-analysis was performed using GEO microarray series. We first compared gene expression from eleven primary OS against osteoblasts to obtain the differentially expressed genes (DEGs). We later filtered those DEGs by verifying which ones had a concordant direction of differential expression in a validation group of 82 OS samples versus 30 bone marrow mesenchymal stem cells (BM-MSC) samples. A final gene expression signature of 266 genes (98 up and 168 down regulated) was obtained. The L1000CDS2 engine was used for drug repurposing. The top molecules predicted to reverse the signature were afatinib (PubChem CID 10184653), BRD-K95196255 (PubChem CID 3242434), DG-041 (PubChem CID 11296282) and CA-074 Me (PubChem CID 23760717). Afatinib (Gilotrif™) is currently used for metastatic non-small-cell lung cancer with EGFR mutations, and in vitro evidence shows antineoplastic potential in OS cells. The other three molecules have reports of antineoplastic effects, but are not currently FDA-approved. Further studies are necessary to establish the potential of these drugs in OS treatment. We believe our results can be an important contribution for the investigation of new therapeutic genetic targets and for selecting new drugs to be tested for OS.

PMID:34004576 | DOI:10.1016/j.compbiomed.2021.104470