Clin Exp Metastasis. 2023 Mar 23. doi: 10.1007/s10585-023-10202-0. Online ahead of print.

ABSTRACT

Brain metastasis is the main cause of treatment failure and melanoma-related death. Inadequate concentrations of therapeutic drugs in the brain due to the blood-brain barrier (BBB) pose a major challenge in the treatment of brain metastasis. Antipsychotics can cross the BBB to reach the brain. Fluphenazine (FPZ) inhibits the survival of melanoma cells in vitro. However, its efficacy in suppressing the metastasis of melanoma, especially brain metastasis, remains unknown. Therefore, we explored whether fluphenazine (FPZ) can be repurposed for treating melanoma metastasis. A subcutaneous tumor model, and experimental metastasis models that simulate the outgrowth of melanoma cells in the brain, lung, and bone were established to verify the inhibitory effect of FPZ on melanoma cells. FPZ showed potential inhibitory effects against melanoma both in vivo and in vitro. It induced G0/G1 phase arrest and-mitochondrion-mediated intrinsic apoptosis, and inhibited autophagic flux in melanoma cells in vitro. In vivo, subcutaneous tumor, brain, lung, and bone models of metastatic melanoma were established. Intraperitoneal injection of FPZ (8 mg/kg) significantly inhibited melanoma growth in the subcutaneous and experimental metastasis models. In a lung metastasis model, FPZ reduced the proportion of M2 macrophages and increased the proportion of CD8+ T cells and NK cells in vivo, thereby promoting an anticancer immune response. The findings of this study indicate that FPZ is a potential drug candidate for treating metastatic melanoma.

PMID:36952079 | DOI:10.1007/s10585-023-10202-0

Emerg Microbes Infect. 2023 Mar 23:2195020. doi: 10.1080/22221751.2023.2195020. Online ahead of print.

ABSTRACT

SARS-CoV-2, the causative virus of COVID-19, continues to threaten global public health. COVID-19 is a multi-organ disease, causing not only respiratory distress, but also extrapulmonary manifestations, including gastrointestinal symptoms with SARS-CoV-2 RNA shedding in stool long after respiratory clearance. Despite global vaccination and existing antiviral treatments, variants of concern are still emerging and circulating. Of note, new Omicron BA.5 sublineages both increasingly evade neutralizing antibodies and demonstrate an increased preference for entry via the endocytic entry route. Alternative to direct-acting antivirals, host-directed therapies interfere with host mechanisms hijacked by viruses, and enhance cell-mediated resistance with a reduced likelihood of drug resistance development. Here, we demonstrate that the autophagy-blocking therapeutic berbamine dihydrochloride robustly prevents SARS-CoV-2 acquisition by human intestinal epithelial cells via an autophagy-mediated BNIP3 mechanism. Strikingly, berbamine dihydrochloride exhibited pan-antiviral activity against Omicron subvariants BA.2 and BA.5 at nanomolar potency, providing a proof of concept for the potential for targeting autophagy machinery to thwart infection of current circulating SARS-CoV-2 subvariants. Furthermore, we show that autophagy-blocking therapies limited virus-induced damage to intestinal barrier function, affirming the therapeutic relevance of autophagy manipulation to avert the intestinal permeability associated with acute COVID-19 and post-COVID-19 syndrome. Our findings underscore that SARS-CoV-2 exploits host autophagy machinery for intestinal dissemination and indicate that repurposed autophagy-based antivirals represent a pertinent therapeutic option to boost protection and ameliorate disease pathogenesis against current and future SARS-CoV-2 variants of concern.

PMID:36951188 | DOI:10.1080/22221751.2023.2195020

Sci Rep. 2023 Mar 22;13(1):4685. doi: 10.1038/s41598-023-31276-6.

ABSTRACT

Some recent studies showed that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and idiopathic pulmonary fibrosis (IPF) disease might stimulate each other through the shared genes. Therefore, in this study, an attempt was made to explore common genomic biomarkers for SARS-CoV-2 infections and IPF disease highlighting their functions, pathways, regulators and associated drug molecules. At first, we identified 32 statistically significant common differentially expressed genes (cDEGs) between disease (SARS-CoV-2 and IPF) and control samples of RNA-Seq profiles by using a statistical r-package (edgeR). Then we detected 10 cDEGs (CXCR4, TNFAIP3, VCAM1, NLRP3, TNFAIP6, SELE, MX2, IRF4, UBD and CH25H) out of 32 as the common hub genes (cHubGs) by the protein-protein interaction (PPI) network analysis. The cHubGs regulatory network analysis detected few key TFs-proteins and miRNAs as the transcriptional and post-transcriptional regulators of cHubGs. The cDEGs-set enrichment analysis identified some crucial SARS-CoV-2 and IPF causing common molecular mechanisms including biological processes, molecular functions, cellular components and signaling pathways. Then, we suggested the cHubGs-guided top-ranked 10 candidate drug molecules (Tegobuvir, Nilotinib, Digoxin, Proscillaridin, Simeprevir, Sorafenib, Torin 2, Rapamycin, Vancomycin and Hesperidin) for the treatment against SARS-CoV-2 infections with IFP diseases as comorbidity. Finally, we investigated the resistance performance of our proposed drug molecules compare to the already published molecules, against the state-of-the-art alternatives publicly available top-ranked independent receptors by molecular docking analysis. Molecular docking results suggested that our proposed drug molecules would be more effective compare to the already published drug molecules. Thus, the findings of this study might be played a vital role for diagnosis and therapies of SARS-CoV-2 infections with IPF disease as comorbidity risk.

PMID:36949176 | DOI:10.1038/s41598-023-31276-6

ACS Med Chem Lett. 2023 Mar 22;14(4):386-395. doi: 10.1021/acsmedchemlett.3c00015. eCollection 2023 Apr 13.

ABSTRACT

Gene expression and cell morphology data are high-dimensional biological readouts of much recent interest for drug discovery. They are able to describe biological systems in different states (e.g., healthy and diseased), as well as biological systems before and after compound treatment, and they are hence useful for matching both spaces (e.g., for drug repurposing) as well as for characterizing compounds with respect to efficacy and safety endpoints. This Microperspective describes recent advances in this direction with a focus on applied drug discovery and drug repurposing, as well as outlining what else is needed to advance further, with a particular focus on better understanding the applicability domain of readouts and their relevance for decision making, which is currently often still unclear.

PMID:37077392 | PMC:PMC10107910 | DOI:10.1021/acsmedchemlett.3c00015

Biol Pharm Bull. 2023 Mar 21. doi: 10.1248/bpb.b22-00674. Online ahead of print.

ABSTRACT

Myelosuppression, a side effect of anticancer drugs, makes people more susceptible to infectious diseases by compromising the immune system. When a cancer patient develops a contagious disease, treatment with an anticancer drug is suspended or postponed to treat the infectious disease. If there were a drug that suppresses the growth of cancer cells among antibacterial agents, it would be possible to treat both infectious diseases and cancer. Therefore, this study investigated the effect of antibacterial agents on cancer cell development. Vancomycin (VAN) had little effect on cell proliferation against the breast cancer cell, MCF-7, prostate cancer cell, PC-3, and gallbladder cancer cell, NOZ C-1. Alternatively, Teicoplanin (TEIC) and Daptomycin (DAP) promoted the growth of some cancer cells. In contrast, Linezolid (LZD) suppressed the proliferation of MCF-7, PC-3, and NOZ C-1 cells. Therefore, we found a drug that affects the growth of cancer cells among antibacterial agents. Next, when we examined the effects of the combined use of existing anticancer and antibacterial agents, we found VAN did not affect the growth suppression by anticancer agents. However, TEIC and DAP attenuated the growth suppression of anticancer agents. In contrast, LZD additively enhanced the growth suppression by Docetaxel in PC-3 cells. Furthermore, we showed that LZD inhibits cancer cell growth by mechanisms that involve PI3K/Akt pathway suppression. Therefore, LZD might simultaneously treat cancer and infectious diseases.

PMID:36948634 | DOI:10.1248/bpb.b22-00674

Eur J Med Chem. 2023 Feb 10;251:115179. doi: 10.1016/j.ejmech.2023.115179. Online ahead of print.

ABSTRACT

Schistosomiasis is an infectious disease caused by blood flukes of the genus Schistosoma and affects approximately 200 million people worldwide. Since Praziquantel (PZQ) is the only drug for schistosomiasis, alternatives are needed. By a biochemical approach, we identified a tegumentally expressed aldehyde dehydrogenase (ALDH) of S. mansoni, SmALDH_312. Molecular analyses of adult parasites showed Smaldh_312 transcripts in both genders and different tissues. Physiological and cell-biological experiments exhibited detrimental effects of the drug disulfiram (DSF), a known ALDH inhibitor, on larval and adult schistosomes in vitro. DSF also reduced stem-cell proliferation and caused severe tegument damage in treated worms. In silico-modelling of SmALDH_312 and docking analyses predicted DSF binding, which we finally confirmed by enzyme assays with recombinant SmALDH_312. Furthermore, we identified compounds of the Medicine for Malaria Venture (MMV) pathogen box inhibiting SmALDH_312 activity. Our findings represent a promising starting point for further development towards new drugs for schistosomiasis.

PMID:36948075 | DOI:10.1016/j.ejmech.2023.115179

J Clin Psychiatry. 2023 Mar 20;84(3):22r14494. doi: 10.4088/JCP.22r14494.

ABSTRACT

Importance: "Psychotropic" drugs have widespread reach and impact throughout the brain and body. Thus, many of these drugs could be repurposed for non-psychiatric indications of high public health impact.

Observations: The selective serotonin reuptake inhibitor (SSRI) fluvoxamine was shown efficacious as a COVID-19 treatment based on randomized controlled trials (RCTs), and a benefit of other antidepressants has been posited based on observational and preclinical studies. In this review, we illuminate features of SSRIs and other psychiatric drugs that make them candidates to repurpose for non-psychiatric indications. We summarize research that led to fluvoxamine's use in COVID-19 and provide guidance on how to use it safely. We summarize studies suggestive of benefit of other antidepressants versus COVID-19 and long COVID. We also describe putative mechanisms of psychiatric drugs in treating long COVID, Alzheimer's disease, cancer, and other conditions.

Conclusion and Relevance: There is a potentially great clinical and public health impact of psychotropic drug repurposing. Challenges exist to such repurposing efforts, but solutions exist for researchers, regulators, and funders that overcome these challenges.

PMID:36946597 | DOI:10.4088/JCP.22r14494

J Med Virol. 2023 Mar 22. doi: 10.1002/jmv.28693. Online ahead of print.

ABSTRACT

Cancer management is major concern of health organizations and viral cancers account for approximately 15.4% of all known human cancers. Due to large number of patients, efficient treatments for viral cancers are needed. De novo drug discovery is time consuming and expensive process with high failure rate in clinical stages. To address this problem and provide treatments to patients suffering from viral cancers faster, drug repurposing emerges as an effective alternative which aims to find the other indications of the FDA approved drugs. Applied to viral cancers, drug repurposing studies following the niche have tried to find if already existing drugs could be used to treat viral cancers. Multiple drug repurposing approaches till date have been introduced with successful results in viral cancers and many drugs have been successfully repurposed various viral cancers. Here in this study, a critical review of viral cancer related databases, tools, and different machine learning, deep learning and virtual screening-based drug repurposing studies focusing on viral cancers is provided. Additionally, the mechanism of viral cancers is presented along with drug repurposing case study specific to each viral cancer. Finally, the limitations and challenges of various approaches along with possible solutions are provided. This article is protected by copyright. All rights reserved.

PMID:36946499 | DOI:10.1002/jmv.28693

J Cell Biochem. 2023 Mar 22. doi: 10.1002/jcb.30397. Online ahead of print.

ABSTRACT

Mpox (formerly Monkeypox), a zoonotic illness caused by the Mpox virus, belongs to the Orthopoxvirus genus in the family Poxviridae. To design and develop effective antiviral therapeutics against DNA viruses, the DNA-dependent RNA polymerase (DdRp) of poxviruses has emerged as a promising drug target. In the present study, we modeled the three-dimensional (3D) structure of DdRp using a template-based homology approach. After modeling, virtual screening was performed to probe the molecular interactions between 1755 Food and Drug Administration-approved small molecule drugs (≤500 molecular weight) and the DdRp of Mpox. Based on the binding affinity and molecular interaction patterns, five drugs, lumacaftor (-11.7 kcal/mol), conivaptan (-11.7 kcal/mol), betulinic acid (-11.6 kcal/mol), fluspirilene (-11.3 kcal/mol), and imatinib (-11.2 kcal/mol), have been ranked as the top drug compounds interacting with Mpox DdRp. Complexes of these shortlisted drugs with DdRp were further evaluated using state-of-the-art all-atoms molecular dynamics (MD) simulations on 200 nanoseconds followed by principal component analysis (PCA). MD simulations and PCA results revealed highly stable interactions of these small drugs with DdRp. After due validation in wet-lab using available in vitro and in vivo experiments, these repurposed drugs can be further utilized for the treatment of contagious Mpox virus. The outcome of this study may establish a solid foundation to screen repurposed and natural compounds as potential antiviral therapeutics against different highly pathogenic viruses.

PMID:36946432 | DOI:10.1002/jcb.30397

Expert Rev Clin Pharmacol. 2023 Mar 21:1-4. doi: 10.1080/17512433.2023.2193683. Online ahead of print.

NO ABSTRACT

PMID:36945753 | DOI:10.1080/17512433.2023.2193683

Funct Integr Genomics. 2023 Mar 21;23(2):94. doi: 10.1007/s10142-023-01007-1.

ABSTRACT

Breast cancer is one of the leading causes of death in women worldwide. Initially, it develops in the epithelium of the ducts or lobules of the breast glandular tissues with limited growth and the potential to metastasize. It is a highly heterogeneous malignancy; however, the common molecular mechanisms could help identify new targeted drugs for treating its subtypes. This study uses computational drug repositioning approaches to explore fresh drug candidates for breast cancer treatment. We also implemented reversal gene expression and gene expression-based signatures to explore novel drug candidates computationally. The drug activity profiles and related gene expression changes were acquired from the DrugBank, PubChem, and LINCS databases, and then in silico drug screening, molecular dynamics (MD) simulation, replica exchange MD simulations, and simulated annealing molecular dynamics (SAMD) simulations were conducted to discover and verify the valid drug candidates. We have found that compounds like furosemide, gold, and dopamine showed significant outcomes. Furthermore, the expression of genes related to breast cancer was observed to be reversed by these shortlisted drugs. Therefore, we postulate that combining furosemide, gold, and dopamine would be a potential combination therapy measurement for breast cancer patients.

PMID:36943579 | DOI:10.1007/s10142-023-01007-1

Matern Child Health J. 2023 Mar 20. doi: 10.1007/s10995-023-03621-8. Online ahead of print.

ABSTRACT

OBJECTIVES: We sought to identify the most common diagnostic categories linked to dispensed opioid prescriptions among children 1-36 months old and changes in patterns over the years 2000 to 2017.

METHODS: This study used South Carolina's Medicaid claims data of pediatric dispensed outpatient opioid prescriptions between 2000 and 2017. The major opioid-related diagnostic category (indication) for each prescription was identified using visit primary diagnoses and the Clinical Classification System (AHRQ-CCS) software. The variables of interest were the rate of opioid prescriptions per 1,000 visits for each diagnostic category and the relative percentage of opioid prescriptions assigned to each category compared to all categories.

RESULTS: Six major diagnostic categories were identified; Diseases of the respiratory system (RESP), Congenital anomalies (CONG), Injury (INJURY), Diseases of the nervous system and sense organs (NEURO), Diseases of the digestive system (GI), and Diseases of the genitourinary system (GU). The overall rate of dispensed opioid prescriptions per category declined significantly for four diagnostic categories throughout the study period, RESP by 15.13, INJURY by 8.49, NEURO by 7.33, and GI by 5.93. Two categories increased during the same time, CONG (by 9.47) and GU (by 6.98). RESP was the most prevalent category linked to a dispensed opioid prescription within 2010-2012 (almost 25%) but CONG was the most prevalent by 2014 (17.77%).

CONCLUSIONS FOR PRACTICE: Among Medicaid children 1-36 months old, annual dispensed opioid prescription rates declined for most major diagnostic categories (RESP, INJURY, NEURO, and GI). Future studies should explore alternatives to current opioid dispensing practices for GU and CONG cases.

PMID:36939951 | DOI:10.1007/s10995-023-03621-8

Front Pharmacol. 2023 Mar 3;14:1057301. doi: 10.3389/fphar.2023.1057301. eCollection 2023.

ABSTRACT

Background: Polypharmacy is common in patients with dysphagia. Routinely used drugs may influence swallowing function either improving or worsening it. We aimed to explore the potential effects of three commonly used drug classes on dysphagia and aspiration pneumonia through a systematic review and a real-world data analysis to probe the possibility of drug repurposing for dysphagia treatment. Material and Methods: Five electronic databases were searched. Studies on adults at risk for dysphagia, treated with Dipeptidyl-Peptidase IV Inhibitors (DPP-4i), Adrenergic Beta-Antagonists (beta-blockers), or Angiotensin-Converting Enzyme Inhibitors (ACEi), and reporting outcomes on dysphagia or aspiration pneumonia were included. A nested case/non-case study was performed on adverse events recorded in the FDA Adverse Event Reporting System (FAERS) on patients >64 years. Cases (dysphagia or aspiration pneumonia) were compared between patients only treated with Levodopa and patients who were concomitantly treated with the drugs of interest. Results: Twenty studies were included in the review (17 on ACEi, 2 on beta-blockers, and 1 on DPP-4i). Contrasting findings on the effects of ACEi were found, with a protective effect mainly reported in Asian studies on neurological patients. Beta-blockers were associated with a reduced dysphagia rate. The study on DPP-4i suggested no effect on dysphagia and an increased risk of aspiration pneumonia. The FAERS analysis showed a reduction of the risk for dysphagia/aspiration pneumonia with ACEi, beta-blockers, and DPP-4i. Conclusion: Our study explores the potential drug repurposing of ACEi, beta-blockers and DPP-4i in neurological patients with dysphagia to improve swallowing function and reduce aspiration pneumonia risk. Future randomized controlled studies should confirm these results and clarify the underlying mechanisms of action.

PMID:36937893 | PMC:PMC10022593 | DOI:10.3389/fphar.2023.1057301

Front Pharmacol. 2023 Mar 2;14:1143981. doi: 10.3389/fphar.2023.1143981. eCollection 2023.

NO ABSTRACT

PMID:36937872 | PMC:PMC10018132 | DOI:10.3389/fphar.2023.1143981

Front Pharmacol. 2023 Mar 1;14:1130828. doi: 10.3389/fphar.2023.1130828. eCollection 2023.

ABSTRACT

Several efforts to repurpose drugs for COVID-19 treatment have largely either failed to identify a suitable agent or agents identified did not translate to clinical use. Reasons that have been suggested to explain the failures include use of inappropriate doses, that are not clinically achievable, in the screening experiments, and the use of inappropriate pre-clinical laboratory surrogates to predict efficacy. In this study, we used an innovative algorithm, that incorporates dissemination and implementation considerations, to identify potential drugs for COVID-19 using iterative computational and wet laboratory methods. The drugs were screened at doses that are known to be achievable in humans. Furthermore, inhibition of viral induced cytopathic effect (CPE) was used as the laboratory surrogate to predict efficacy. Erythromycin, pyridoxine, folic acid and retapamulin were found to inhibit SARS-CoV-2 induced CPE in Vero cells at concentrations that are clinically achievable. Additional studies may be required to further characterize the inhibitions of CPE and the possible mechanisms.

PMID:36937851 | PMC:PMC10014809 | DOI:10.3389/fphar.2023.1130828

Chem Sci. 2023 Feb 21;14(11):3030-3047. doi: 10.1039/d2sc05534a. eCollection 2023 Mar 15.

ABSTRACT

Small soluble oligomers of the protein α-synuclein (αSO) have been linked to disruptions in neuronal homeostasis, contributing to the development of Parkinson's Disease (PD). While this makes αSO an obvious drug target, the development of effective therapeutics against αSO is challenged by its low abundance and structural and morphological complexity. Here, we employ two different approaches to neutralize toxic interactions made by αSOs with different cellular components. First, we use available data to identify four neuronal proteins as likely candidates for αSO interactions, namely Cfl1, Uchl1, Sirt2 and SerRS. However, despite promising results when immobilized, all 4 proteins only bind weakly to αSO in solution in microfluidic assays, making them inappropriate for screening. In contrast, the formation of stable contacts formed between αSO and vesicles consisting of anionic lipids not only mimics a likely biological role of αSO but also provided a platform to screen two small molecule libraries for disruptors of these contacts. Of the 7 best leads obtained in this way, 2 significantly impaired αSO contacts with other proteins in a sandwich ELISA assay using αSO-binding monoclonal antibodies and nanobodies. In addition, 5 of these leads suppressed α-synuclein amyloid formation. Thus, a repurposing screening that directly targets a key culprit in PD pathogenesis shows therapeutic potential.

PMID:36937574 | PMC:PMC10016340 | DOI:10.1039/d2sc05534a

Comput Struct Biotechnol J. 2023 Feb 24;21:1907-1920. doi: 10.1016/j.csbj.2023.02.041. eCollection 2023.

ABSTRACT

Despite the massive investment in Alzheimer's disease (AD), there are still no disease-modifying treatments (DMTs) for AD. One major reason is attributed to the limitation of clinical "one-size-fits-all" approach, since the same AD treatment solely based on clinical diagnosis was unlikely to achieve good clinical efficacy. In recent years, computational approaches based on multiomics data have provided an unprecedented opportunity for drug discovery since they can substantially lower the costs and boost the efficiency. In this study, we intended to identify potential drug candidates for different pathological stages of AD by computationally repurposing Food and Drug Administration (FDA) approved drugs. First, we assembled gene expression data from three different AD pathological stages, which include mild cognitive impairment (MCI) and early and late stages of AD (EAD, LAD). We next quantified the network distances between drug target networks and AD modules by utilizing a network proximity approach, and identified 193 candidates that possessed significant associations with AD. After searching for previous literature evidence, 63 out of 193 (32.6%) predicted drugs were demonstrated to exert therapeutic effects on AD. We further explored the novel mechanism of action (MOA) for these drug candidates by determining the specific brain cells they might function on based on AD patient single cell transcriptomic data. Additionally, we selected several promising candidates that could cross the blood brain barrier together with confirmed neuroprotective effects, and subsequently determined the antioxidative activity of these compounds. Experimental results showed that azathioprine decreased the reactive oxygen species (ROS) and malondialdehyde (MDA) levels and improved the superoxide dismutase (SOD) activity in APP-SH-SY5Y cells. Finally, we deciphered the potential MOA of azathioprine against AD via network analysis and validated several apoptosis-related proteins (Caspase 3, Cleaved Caspase 3, Bax, Bcl2) through western blotting. In summary, this study presented an effective computational strategy utilizing omics data for AD drug repurposing, which provides a new perspective for drug discovery and development.

PMID:36936813 | PMC:PMC10015208 | DOI:10.1016/j.csbj.2023.02.041

Cell Rep Methods. 2023 Feb 21;3(2):100413. doi: 10.1016/j.crmeth.2023.100413. eCollection 2023 Feb 27.

ABSTRACT

In recent years, there has been a surge of interest in using machine learning algorithms (MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug repurposing, diagnostics, clinical trial design, and pharmaceutical production. MLAs have the potential to provide valuable insights and predictions in these areas by representing both the disease state and the therapeutic agents used to treat it. To fully utilize the capabilities of MLAs in oncology, it is important to understand the fundamental concepts underlying these algorithms and how they can be applied to assess the efficacy and toxicity of therapeutics. In this perspective, we lay out approaches to represent both the disease state and the therapeutic agents used by MLAs to derive novel insights and make relevant predictions.

PMID:36936080 | PMC:PMC10014302 | DOI:10.1016/j.crmeth.2023.100413

Infect Genet Evol. 2023 Mar 17:105426. doi: 10.1016/j.meegid.2023.105426. Online ahead of print.

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic. Clinical manifestations of the disease range from an asymptomatic condition to life-threatening events and death, with more severe courses being associated with age, male sex, and comorbidities. Besides these risk factors, intrinsic characteristics of the virus as well as genetic factors of the host are expected to account for COVID-19 clinical heterogeneity. Genetic studies have long been recognized as fundamental to identify biological mechanisms underlying congenital diseases, to pinpoint genes/proteins responsible for the susceptibility to different inherited conditions, to highlight targets of therapeutic relevance, to suggest drug repurposing, and even to clarify causal relationships that make modifiable some environmental risk factors. Though these studies usually take long time to be concluded and, above all, to translate their discoveries to patients' bedside, the scientific community moved really fast to deliver genetic signals underlying different COVID-19 phenotypes. In this Review, besides a concise description of COVID-19 symptomatology and of SARS-CoV-2 mechanism of infection, we aimed to recapitulate the current literature in terms of host genetic factors that specifically associate with an increased severity of the disease.

PMID:36934789 | DOI:10.1016/j.meegid.2023.105426

Colloids Surf B Biointerfaces. 2023 Mar 7;225:113253. doi: 10.1016/j.colsurfb.2023.113253. Online ahead of print.

ABSTRACT

Disulfiram (DSF), a drug for alcohol withdrawal, has attracted extensive scientific attention due to its potential to treat cancer. The metabolite of DSF, diethyl dithiocarbamate (DDTC), forms a Cu-DDTC complex in vivo with copper ions, which has been shown to be a proteasome inhibitor with high antitumor activity. However, the in vivo stability of Cu-DDTC complexes remains a challenge. In this study, the nanomedicine Cu-BTC@DDTC with high antitumor activity was prepared by using the nanoscale metal-organic framework (MOF) Cu-BTC as a carrier and loading diethyldithiocarbamate (DDTC) through coordination interaction. The results showed that Cu-BTC@DDTC had high drug loading and adequate stability, and exhibited DDTC-Cu(I) chemical valence characteristics and polycrystalline structure features. In vitro cytocompatibility investigation and animal xenograft tumor model evaluation demonstrated the anti-cancer potential of Cu-BTC@DDTC, especially the combination of Cu-BTC@DDTC with low-dose cisplatin showed significant antitumor effect and biosafety. This study provides a feasible protocol for developing antitumor drugs based on the drug repurposing strategy.

PMID:36934611 | DOI:10.1016/j.colsurfb.2023.113253