Drug Des Devel Ther. 2024 Dec 19;18:6173-6184. doi: 10.2147/DDDT.S499068. eCollection 2024.

ABSTRACT

PURPOSE: Nitrofurantoin (NITRO), a long-standing antibiotic to treat urinary tract infections, is activated by Nitro reductases. This activation mechanism has led to its exploration for repositioning applications in controlling and treating breast cancer, which express a Nitro reductase gene.

METHODS: NITRO Cubosomes were developed using hot homogenization according to 23-full factorial design. The factors studied included the ratio of drug to oily phase (1:10 and 2:10), the ratio of oily to aqueous phase (1:10 and 1:5), and the ratio of Glyceryl mono-oleate (GMO) to Poloxamer 407 (PX407) (0.25:1 and 0.5:1). A total of 8 systems were proposed and evaluated by measuring particle size, zeta potential, polydispersity index, and percentage of entrapment efficiency.

RESULTS: S6 (1:10 drug: oily phase, 1:5 oily: aqueous phase and 0.5:1 GMO: PX407) with particle size 45.5 ±c1.1 nm and an entrapment efficiency of 98.6 ± 1.8% exhibited highest desirability and was selected for further analysis. The morphology of S6 was examined using TEM microscopy. The activation of NITRO from S6 reflected on intracellular viability of MCF-7 breast cancer cell line was investigated by an MTT assay. The findings indicated that S6 had the lowest IC50 value (83.99 ± 0.15 μg g/mL) compared to Free NITRO (174.54 ± 1.36 μg g/mL), suggesting enhanced efficacy compared to free NITRO.

CONCLUSION: Nitrofurantoin cubosomes can be candidates for repositioning in breast cancer management after encouraging further stability and in-vivo studies.

PMID:39722678 | PMC:PMC11668685 | DOI:10.2147/DDDT.S499068

Eur J Med Chem. 2024 Dec 13;284:117164. doi: 10.1016/j.ejmech.2024.117164. Online ahead of print.

ABSTRACT

Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identification, lead optimization, de novo drug design, and drug repurposing. Frameworks such as deep neural networks (DNNs), convolutional neural networks (CNNs), and deep reinforcement learning (DRL) models have shown promise in identifying drug targets, optimizing delivery systems, and accelerating drug repurposing. Generative adversarial networks (GANs) and variational autoencoders (VAEs) aid de novo drug design by creating novel drug-like compounds with desired properties. Case studies, such as DDR1 kinase inhibitors designed using generative models and CDK20 inhibitors developed via structure-based methods, highlight AI's ability to produce highly specific therapeutics. Models like SNF-CVAE and DeepDR further advance drug repurposing by uncovering new therapeutic applications for existing drugs. Advanced ML algorithms enhance precision in predicting drug efficacy, toxicity, and ADME-Tox properties, reducing development costs and improving drug-target interactions. AI also supports polypharmacology by optimizing multi-target drug interactions and enhances combination therapy through predictions of drug synergies and antagonisms. In nanomedicine, AI models like CURATE.AI and the Hartung algorithm optimize personalized treatments by predicting toxicological risks and real-time dosing adjustments with high accuracy. Despite its potential, challenges like data quality, model interpretability, and ethical concerns must be addressed. High-quality datasets, transparent models, and unbiased algorithms are essential for reliable AI applications. As AI continues to evolve, it is poised to revolutionize drug discovery and personalized medicine, advancing therapeutic development and patient care.

PMID:39721292 | DOI:10.1016/j.ejmech.2024.117164

J Cell Mol Med. 2024 Dec;28(24):e70312. doi: 10.1111/jcmm.70312.

ABSTRACT

Polycystic ovary syndrome (PCOS), a major cause of female infertility, affects 4%-20% of reproductive-age women. Metabolic and hormonal alterations are key features of PCOS, potentially raising the risk of endometrial (EC) and ovarian (OVCA) cancers. This systematic review aims to summarise the proposed molecular mechanisms involved in the association between PCOS and EC or OVCA. This is achieved by conducting a thorough literature review and utilising specific search terms to identify all relevant studies published in English from 2010 to December 2022. PRISMA was followed, and the protocol was registered on PROSPERO (CRD42022375461). The QUADAS-2 tool and Review Manager Software were employed to evaluate study quality and risk of bias respectively. Forty-five eligible studies were selected with molecular signatures based on genomic, transcriptomic, metabolomic, proteomic and epigenetic analyses. Genes and their products deregulated in EC and/or OVCA were identified, including BRCA1, MLH1, NQO1 and ESR1, which were also deregulated in PCOS. Serum levels of IGF1, IGFBP1, SREBP1 and visfatin in women with PCOS were also identified as potential biomarkers of enhanced EC risk. Salusin-β serum levels in individuals with PCOS were identified as a potential biomarker for increased risk of OVCA. Gene signature-based drug repositioning identified several drug candidates: metformin, fenofibrate, fatostatin, melatonin, resveratrol and quercetin, some already established and prescribed for PCOS. In conclusion, this study provides a strong basis for further research to confirm the identified molecular signatures and associated causal links for potential therapeutic prevention strategies for EC and OVCA in women with PCOS.

PMID:39720923 | DOI:10.1111/jcmm.70312

Front Pharmacol. 2024 Dec 10;15:1516725. doi: 10.3389/fphar.2024.1516725. eCollection 2024.

ABSTRACT

Rare diseases affect over three hundred million individuals globally. Investment in research and development remains incommensurate with the challenges rare diseases pose. Further investment in information sharing platforms to promote common and standardized network technologies for rare disease is needed. Rare disease R&D generates information and assets that spill over in other ways, providing benefits that may not be apparent to investors ex ante. Analytical and computational methods recently applied at scale are promising. One important way of achieving efficiencies of scale in R&D is clustering rare diseases into groups with similar traits.

PMID:39720596 | PMC:PMC11666429 | DOI:10.3389/fphar.2024.1516725

Front Pharmacol. 2024 Dec 10;15:1507860. doi: 10.3389/fphar.2024.1507860. eCollection 2024.

ABSTRACT

Age-related macular degeneration (AMD) is a leading cause of blindness among the elderly worldwide. Anti-vascular endothelial growth factor (anti-VEGF) injections remain the first-line therapy for AMD. However, their high cost and the need for frequent administration pose challenges to long-term adherence, highlighting the need for accessible and cost-effective preventive strategies. Emerging evidence suggests that traditional antidiabetic drugs, such as metformin, sulfonylureas, and thiazolidinediones, may offer neuroprotective benefits, opening new avenues for AMD prevention. Among these, metformin has emerged as the most promising candidate, demonstrating significant potential in reducing AMD risk, even at low cumulative doses, primarily through AMP-activated protein kinase (AMPK) activation. Sulfonylureas, although effective in stimulating insulin secretion, carry risks such as hypoglycemia, hyperinsulinemia, and a possible association with increased cancer risk. Similarly, thiazolidinediones, while improving insulin sensitivity, are associated with adverse effects, including cardiovascular risks and macular edema, limiting their broader application in AMD prevention. This paper explores the preventive potential and underlying mechanisms of these antidiabetic drugs in AMD and discusses the role of artificial intelligence in optimizing individualized prevention strategies. By advancing precision medicine, these approaches may improve public health outcomes and reduce the burden of aging-related vision loss.

PMID:39720591 | PMC:PMC11666363 | DOI:10.3389/fphar.2024.1507860

Commun Biol. 2024 Dec 24;7(1):1696. doi: 10.1038/s42003-024-07416-7.

ABSTRACT

Comorbidity among atopic diseases (ADs) and gastrointestinal diseases (GIDs) has been repeatedly demonstrated by epidemiological studies, whereas the shared genetic liability remains largely unknown. Here we establish an atlas of the shared genetic architecture between 10 ADs or related traits and 11 GIDs, comprehensively investigating the comorbidity-associated genomic regions, cell types, genes and genetically predicted causality. Although distinct genetic correlations between AD-GID are observed, including 14 genome-wide and 28 regional correlations, genetic factors of Crohn's disease (CD), ulcerative colitis (UC), celiac disease and asthma subtypes are converged on CD4+ T cells consistently across relevant tissues. Fourteen genes are associated with comorbidities, with three genes are known treatment targets, showing probabilities for drug repurposing. Lower expressions of WDR18 and GPX4 in PBMC CD4+ T cells predict decreased risk of CD and asthma, which could be novel drug targets. MR unveils certain ADs led to higher risk of GIDs or vice versa. Taken together, here we show distinct genetic correlations between AD-GID pairs, but the correlated genomic loci converge on the dysregulation of CD4+ T cells. Inhibiting WDR18 and GPX4 expressions might be candidate therapeutic strategies for CD and asthma. Estimated causality indicates potential guidance for preventing comorbidity.

PMID:39719505 | DOI:10.1038/s42003-024-07416-7

Mol Cell Endocrinol. 2024 Dec 22:112445. doi: 10.1016/j.mce.2024.112445. Online ahead of print.

ABSTRACT

Excessive consumption of saturated fatty acids creates a debilitating cellular environment that hinders the normal function and survival of osteoblasts, contributing to bone metabolic disorders such as osteoporosis. The FDA-approved polypeptide PTH 1-34 is a well-established therapy for post-menopausal osteoporosis, yet its protective effects in a palmitic acid (PA)-rich hyperlipidemic environment are not well understood. This study investigates the impact of PTH 1-34 on PA-induced cellular responses in osteoblasts. Experiments were conducted on mouse and human-derived osteoblasts as well as C57BL/6J male mice. PA was found to suppress osteoblast differentiation, increase apoptosis, and disrupt autophagy, and thereby impair cellular health. Conversely, PTH 1-34 enhanced cellular health by counteracting these effects. At the molecular level, PTH 1-34 exerted its bioactivity by modulating PTH signaling components such as cAMP and CREB. Impaired osteogenic differentiation was restored by modulating bone-anabolic genes. PTH 1-34 also improved mitochondrial health by preserving mitochondrial membrane potential and maintaining the Bax/Bcl2 ratio, thereby improving cellular viability. Additionally, PTH 1-34 regulated autophagic processes, as evidenced by balanced p62 and LC3 levels, further validated using the autophagy inhibitor Bafilomycin A1. In vivo studies in C57BL/6J male mice corroborated these findings. PTH reversed the PA action by maintaining osteoblast number and function. This study establishes the protective role of PTH 1-34 in safeguarding osteoblasts from lipotoxicity caused by excessive PA accumulation, highlighting its potential repurposing for patients with lipid-induced skeletal dysfunctions. The new data underscores the therapeutic versatility of the FDA-approved polypeptide PTH 1-34 in managing lipid-related bone health issues.

PMID:39719245 | DOI:10.1016/j.mce.2024.112445

J Control Release. 2024 Dec 22:S0168-3659(24)00906-4. doi: 10.1016/j.jconrel.2024.12.050. Online ahead of print.

ABSTRACT

Mertansine (DM1), a potent tumor-killing maytansinoid, requires conjugation to antibodies or incorporation into nanocarriers due to its high toxicity. However, these carriers often result in undesirable biodistribution, leading to rapid and long-term accumulation in the kidneys or liver and potentially increased toxicity. To overcome this limitation, we used the hydrophilic, biocompatible, and stealth properties of polyacrylamide (PAAm) as a scaffold to develop water-soluble PAAm-DM1 polymer prodrugs, leveraging PAAm's previous success in delivering paclitaxel via subcutaneous administration. To monitor distribution and predict efficacy, we have imparted Positron Emission Tomography (PET) imaging capabilities to well-defined PAAm-DM1 polymer prodrugs. Our studies demonstrated the same tumor accumulation and the same distribution of PAAm-DM1 in the main organs such as liver, kidneys muscle, regardless of delivery route (subcutaneous or intravenous). Interestingly, tumor accumulation of PAAm-DM1 was primarily driven by passive accumulation, as indicated by PET imaging, without significantly altering treatment efficacy. This suggests complex mechanisms, possibly involving immune system interactions by influencing notably the metabolism and clearance. To enhance therapeutic outcomes, we combined the polymer prodrug with immunotherapy, specifically anti-CTLA4. Our findings highlight the promising potential of PAAm-DM1, offering a novel formulation strategy for DM1 in cancer therapy.

PMID:39719212 | DOI:10.1016/j.jconrel.2024.12.050

AMB Express. 2024 Dec 24;14(1):141. doi: 10.1186/s13568-024-01809-x.

ABSTRACT

Antibiotic resistance by methicillin-resistant Staphylococcus aureus (MRSA) is an urgent threat to human health. The biofilm and persister cells formation ability of MRSA and Staphylococcus epidermidis often companied with extremely high antimicrobial resistance. Pinaverium bromide (PVB) is an antispasmodic compound mainly used for irritable bowel syndrome. Here we demonstrate that PVB could rapidly kill MRSA and S. epidermidis planktonic cells and persister cells avoiding resistance occurrence. Moreover, by crystal violet staining, viable cells counting and SYTO9/PI staining, PVB exhibited strong biofilm inhibition and eradication activities on the 96-well plates, glass surface or titanium discs. And the synergistic antimicrobial effects were observed between PVB and conventional antibiotics (ampicillin, oxacillin, and cefazolin). Mechanism study demonstrated the antimicrobial and antibiofilm effects by PVB were mainly mediated by proton motive force disrupting as well as reactive oxygen species inducing. Although, relatively poor pharmacokinetics were observed by systemic use, PVB could significantly reduce the viable bacterial cell loads and inflammatory infiltration in abscess in vivo caused by the biofilm forming strain ATCC 43,300. In all, our results indicated that PVB could be an alternative antimicrobial reagent for the treatment of MRSA, S. epidermidis and its biofilm related skin and soft tissue infections.

PMID:39718732 | DOI:10.1186/s13568-024-01809-x

Biomed Khim. 2024 Dec;70(6):403-412. doi: 10.18097/PBMC20247006403.

ABSTRACT

Major depressive disorder (MDD) is one of the most common diseases affecting millions of people worldwide. The use of existing antidepressants in many cases does not allow achieving stable remission, probably due to insufficient understanding of pathological mechanisms. This indicates the need for the development of more effective drugs based on in-depth understanding of MDD's pathophysiology. Since the high costs and long duration of the development of new drugs, the drug repositions may be the promising alternative. In this study we have applied the recently developed DIGEP-Pred approach to identify drugs that induce changes in expression of genes associated with the etiopathogenesis of MDD, followed by identification of their potential MDD-related targets and molecular mechanisms of the antidepressive effects. The applied approach included the following steps. First, using structure-activity relationships (SARs) we predicted drug-induced gene expression changes for 3690 worldwide approved drugs. Disease enrichment analysis applied to the predicted genes allowed to identify drugs that significantly altered expression of known MDD-related genes. Second, potential drug targets, which are probable master regulators responsible for drug-induced gene expression changes, have been identified through the SAR-based prediction and network analysis. Only those drugs whose potential targets were clearly associated with MDD according to the published data, were selected for further analysis. Third, since potential new antidepressants must distribute into brain tissues, drugs with an oral route of administration were selected and their blood-brain barrier permeability was estimated using available experimental data and in silico predictions. As a result, we identified 19 drugs, which can be potentially repurposed for the MDD treatment. These drugs belong to various therapeutic categories, including adrenergic/dopaminergic agents, antiemetics, antihistamines, antitussives, and muscle relaxants. Many of these drugs have experimentally confirmed or predicted interactions with well-known MDD-related protein targets such as monoamine (serotonin, adrenaline, dopamine) and acetylcholine receptors and transporters as well as with less trivial targets including galanin receptor type 3 (GALR3), G-protein coupled estrogen receptor 1 (GPER1), tyrosine-protein kinase JAK3, serine/threonine-protein kinase ULK1. Importantly, that the most of 19 drugs act on two or more MDD-related targets, which may produce the stronger action on gene expression changes and achieve a potent therapeutic effect. Thus, the revealed 19 drugs may represent the promising candidates for the treatment of MDD.

PMID:39718103 | DOI:10.18097/PBMC20247006403

RSC Adv. 2024 Dec 23;14(54):40031-40057. doi: 10.1039/d4ra07581a. eCollection 2024 Dec 17.

ABSTRACT

Inflammation is strongly linked to cancer and is essential for the growth and development of tumors. Targeting inflammation and the mediators involved in the inflammatory process could therefore provide a suitable method for cancer prevention and therapy. Numerous studies have shown that inflammation can predispose tumors. Non-steroidal anti-inflammatory drugs (NSAIDs) can affect the tumor microenvironment through increasing apoptosis and chemo-sensitivity while decreasing cell migration. Since the development of novel drugs requires a significant amount of money and time and poses a significant challenge for drug discovery, there has been a recent increase in interest in drug repositioning or repurposing. The growing body of research suggests that drug repurposing is essential for the quicker and less expensive development of anticancer therapies. In order to set the course for potential future repositioning of NSAIDs for clinical deployment in the treatment of cancer, the antiproliferative activity of derivatives of Indomethacin and Naproxen as well as their mechanism of action and structural activity relationships (SARs) published in the time frame from 2017 to 2024 are summarized in this review.

PMID:39717807 | PMC:PMC11664213 | DOI:10.1039/d4ra07581a

Dis Res. 2024 Dec;4(2):87-96. doi: 10.54457/dr.202402003. Epub 2024 Sep 20.

ABSTRACT

Non-small cell lung cancer (NSCLC) is the most common and prevalent subtype of lung cancer and continues to be one of the leading causes of cancer-related deaths worldwide. Despite various treatment options, a majority of NSCLC patients continue to experience disease progression and associated side effects, which are largely attributed to drug resistance, indicating the need for alternative strategies to combat this deadly disease. Among various applicable alternative approaches, repurposed drugs such as arsenic compounds have been shown to exert anticarcinogenic properties against NSCLC and possess the ability to overcome drug resistance mechanisms. Notably, numerous studies have demonstrated that the antitumor effects of arsenic compounds such as arsenic trioxide, arsenic sulfide, and tetra arsenic hexoxide are mediated via their ability to target several oncogenic signaling pathways, including nuclear factor-kappa B (NF-kB), epidermal growth factor receptor (EGFR), and signal transducer and activator of transcription 3 (STAT3). Inhibition of such signaling cascades results in altered cellular activities, including cell cycle arrest, decreased proliferation, and increased apoptosis. Importantly, these arsenic compounds have also been shown to overcome tumor resistance mechanisms and/or exert synergy in combination with other therapeutic agents resulting in the augmentation of cancer cell cytotoxicity. This review highlights the anticarcinogenic mechanisms of arsenic compounds and their impact on the efficacy of therapeutic agents.

PMID:39717738 | PMC:PMC11666069 | DOI:10.54457/dr.202402003

Front Pharmacol. 2024 Dec 9;15:1508979. doi: 10.3389/fphar.2024.1508979. eCollection 2024.

NO ABSTRACT

PMID:39717558 | PMC:PMC11663673 | DOI:10.3389/fphar.2024.1508979

Mol Cell Biochem. 2024 Dec 23. doi: 10.1007/s11010-024-05192-w. Online ahead of print.

ABSTRACT

The global burden of cancer as a major cause of death and invalidity has been constantly increasing in the past decades. Monoamine oxidases (MAO) with two isoforms, MAO-A and MAO-B, are mammalian mitochondrial enzymes responsible for the oxidative deamination of neurotransmitters and amines in the central nervous system and peripheral tissues with the constant generation of hydrogen peroxide as the main deleterious ancillary product. However, given the complexity of cancer biology, MAO involvement in tumorigenesis is multifaceted with different tumors displaying either an increased or decreased MAO profile. MAO inhibitors are currently approved for the treatment of neurodegenerative diseases (mainly, Parkinson's disease) and as secondary/adjunctive therapeutic options for the treatment of major depression. Herein, we review the literature characterizing MAO's involvement and the putative role of MAO inhibitors in several malignancies, and also provide perspectives regarding the potential biomarker role that MAO could play in the future in oncology.

PMID:39714760 | DOI:10.1007/s11010-024-05192-w

Angew Chem Int Ed Engl. 2024 Dec 23:e202420547. doi: 10.1002/anie.202420547. Online ahead of print.

ABSTRACT

Microglial phagocytosis is a highly energy-consuming process that plays critical roles in clearing neurotoxic amyloid-β (Aβ) in Alzheimer's disease (AD). However, microglial metabolism is defective overall in AD, thereby undermining microglial phagocytic functions. Herein, we repurpose the existing antineoplastic drug lonidamine (LND) conjugated with hollow mesoporous Prussian blue (HMPB) as a "microglial energy modulator" (termed LND@HMPB-T7) for safe and synergistic Aβ clearance. The modified blood-brain barrier penetrating heptapeptide (T7) enables efficient transport of LND@HMPB-T7 to the AD brain. LND in LND@HMPB-T7 could fuel Aβ phagocytosis by stimulating microglial adenosine triphosphate (ATP) production, whereas HMPB with catalase and superoxide dismutase-mimicking activities substantially alleviates the mitochondrial side effects commonly associated with LND and thus further enhances ATP production. The synergism of LND and nanozyme affords a high microglial Aβ clearance efficacy without triggering mitochondrial dysfunction. In vivo experiments ascertain that LND@HMPB-T7 could synergistically promote phagocytic clearance of Aβ, relieve neuroinflammation and ameliorate cognitive function in AD mice. These findings indicate that LND@HMPB-T7 holds tremendous clinical potential as a repurposed drug for AD treatment.

PMID:39714451 | DOI:10.1002/anie.202420547

medRxiv [Preprint]. 2024 Dec 14:2024.12.13.24318996. doi: 10.1101/2024.12.13.24318996.

ABSTRACT

Recent advancements in Parkinson's disease (PD) drug development have been significantly driven by genetic research. Importantly, drugs supported by genetic evidence are more likely to be approved. While genome-wide association studies (GWAS) are a powerful tool to nominate genomic regions associated with certain traits or diseases, pinpointing the causal biologically relevant gene is often challenging. Our aim was to prioritize genes underlying PD GWAS signals. The polygenic priority score (PoPS) is a similarity-based gene prioritization method that integrates genome-wide information from MAGMA gene-level association tests and more than 57,000 gene-level features, including gene expression, biological pathways, and protein-protein interactions. We applied PoPS to data from the largest published PD GWAS in East Asian- and European-ancestries. We identified 120 independent associations with P < 5×10 -8 and prioritized 46 PD genes across these loci based on their PoPS scores, distance to the GWAS signal, and presence of non-synonymous variants in the credible set. Alongside well-established PD genes ( e.g., TMEM175 and VPS13C ), some of which are targeted in ongoing clinical trials ( i.e. , SNCA , LRRK2 , and GBA1 ), we prioritized genes with a plausible mechanistic link to PD pathogenesis ( e.g., RIT2, BAG3 , and SCARB2 ). Many of these genes hold potential for drug repurposing or novel therapeutic developments for PD ( i.e., FYN, DYRK1A, NOD2, CTSB, SV2C, and ITPKB ). Additionally, we prioritized potentially druggable genes that are relatively unexplored in PD ( XPO1, PIK3CA, EP300, MAP4K4, CAMK2D, NCOR1, and WDR43 ). We prioritized a high-confidence list of genes with strong links to PD pathogenesis that may represent our next-best candidates for disease-modifying therapeutics. We hope our findings stimulate further investigations and preclinical work to facilitate PD drug development programs.

PMID:39711693 | PMC:PMC11661345 | DOI:10.1101/2024.12.13.24318996

FEBS J. 2024 Dec 22. doi: 10.1111/febs.17370. Online ahead of print.

ABSTRACT

Japanese encephalitis virus (JEV) is the leading causative agent of viral encephalitis in India and contributes to a significant disease burden in South Asian countries. However, no antiviral treatment is available against JEV-induced encephalitis, highlighting the urgent need for novel therapeutic approaches. Repurposing or repositioning drugs was found to be more economical and practical in the current drug development scenario. The present study aimed to develop a host-directed strategy through a computational drug repurposing approach. As part of the strategy, we first generated a dynamic signature of differentially expressed JEV infection-associated proteins in mice brains through a semiquantitative proteomics approach. With the help of the Connectivity Map (CMap) analysis, we narrowed down the lists of drugs with a high negative CMap score (-70 or lower). Based on the CMap score, we chose the top three compounds (Tipifarnib, Ly303511 and MDL11939) with CMap scores of -91.83, -88.18 and -91.15, respectively. The antiviral potential of these three compounds was further compared in both JEV-infected mouse neuroblastoma cells and C57BL/6 mice. Oral administration of Ly303511 and MDL11939, alone or in combination, showed improved outcomes (e.g. delayed death, increased survival, and less viral load than Tipifarnib alone or combined). The JEV-infected mice survived upon drug treatment, effectively reducing viral load and reversing the antiviral signature. Our results highlight Ly303511 and MDL11939 as promising host-targeted inhibitors of JEV infection and pathogenesis. Moreover, our results favor the combination of Ly303511 and MDL11939 therapy to improve clinical symptoms and reduce JEV-induced damage, thus warranting inclusion in clinical studies.

PMID:39710957 | DOI:10.1111/febs.17370

Int J Biol Macromol. 2024 Dec 19:139003. doi: 10.1016/j.ijbiomac.2024.139003. Online ahead of print.

ABSTRACT

In the current study, we presented the genome sequence and taxonomic classification of the new extensively drug-resistant (XDR) Salmonella enterica serovar Typhi strain JRCGR-ST-AK02. Its genome size was found to be 4,780,534 bp, containing 4864 genes. Taxonomic classification was performed based on the Average Nucleotide Identity (ANI), Genome-to-Genome Distance Calculator (GGDC) and Average Amino Acid Identity (AAI) analysis. Pan-genome analysis revealed 34,4915 core genes, which are predominantly involved in general functions and carbohydrate metabolism. We used a subtractive genomics approach and identified the PocR protein as a drug target. Its 3D structure was built using homology modeling, and an e-pharmacophore hypothesis was created using its binding site. The pharmacophore hypothesis was screened against FDA-approved ligands library and a total of 2018 out 9392 drugs were selected for molecular docking. Cangrelor and Pentagastrin presented the highest docking scores (≥ -9.0). The binding dynamics of these promising FDA-approved drugs were further confirmed through 200 ns molecular dynamics simulation, highlighting their stable and strong interactions with the PocR protein. Our study highlights the potential of Cangrelor and Pentagastrin for repurposing against XDR Salmonella Typhi. By identifying these drugs as promising candidates, we pave the way for new treatments for XDR Salmonella Typhi infections.

PMID:39708886 | DOI:10.1016/j.ijbiomac.2024.139003

Mol Divers. 2024 Dec 21. doi: 10.1007/s11030-024-11081-7. Online ahead of print.

ABSTRACT

Prostate cancer (PC) is among the most prevalent cancers in males. It is the leading cause of death in men, in around 48 out of 185 countries. Increased androgen receptor (AR) activity is the key factor contributing to the development or progression of newly diagnosed cases of prostate cancer. Over time, numerous compounds targeting AR have been identified, presenting encouraging avenues for suppressing its hyperactivity. In our investigation, we used the GEPIA tool to study the importance of AR in the context of prostate cancer. This tool integrates the data from TCGA and GTEx in the gene expression pattern analysis and their clinical relevance. This analysis evaluates overall survival, disease-free survival, and transcripts per million (TPM) analysis of AR in PC. We performed docking and simulation for FDA-approved anticancer drugs to assess their potential interactions with the AR. We also conducted a comprehensive analysis of drugs using a quantum calculation (DFT) which provides electronic properties, chemical reactivity, and stability using the HOMO-LUMO energy gap. This study suggests that repurposed synthetic anticancer drugs could be better options for treating prostate cancer by inhibiting AR. In this work, we have shown the potential of pomalidomide, a synthetic anticancer drug, as a potential candidate for androgen-dependent PC treatment.

PMID:39708063 | DOI:10.1007/s11030-024-11081-7

Mol Med. 2024 Dec 19;30(1):245. doi: 10.1186/s10020-024-01016-1.

ABSTRACT

BACKGROUND: NLRP3 inflammasome immoderate activation results in the occurrence of various inflammatory diseases, but the clinic medications targeting NLRP3 inflammasome are still not available currently. The strategy of drug repurposing can reorient the direction of therapy, which is an indispensable method of drug research. In this study, an antimicrobial agent chlorquinaldol (CQ) was conducted to assess the effect on NLRP3 inflammasome and novel clinical value on NLRP3-driven diseases.

METHODS: The effect of CQ on NLRP3 inflammasome activation and pyroptosis was studied in mouse and human macrophages. ASC oligomerization, intracellular potassium, reactive oxygen species production, and NLRP3-ASC interaction were used to evaluate the suppression mechanism of CQ on inflammasome activation. Finally, the ameliorative effects of CQ in the model of LPS-induced peritonitis, dextran sodium sulfate (DSS)-induced colitis, and monosodium urate (MSU)-induced gouty arthritis were evaluated in vivo.

RESULTS: CQ is a highly powerful NLRP3 inhibitor that has feeble impact on the NLRC4 or AIM2 inflammasome activation in mouse and human macrophages. Further study indicated that CQ exhibits its suppression effect on NLRP3 inflammasome by blocking NLRP3-ASC interaction and hydroxyl on the benzene ring is vital for the assembly and activation of NLRP3 inflammasome. Furthermore, in vivo experiments demonstrated that administration of CQ has outstanding therapeutic action on LPS-induced peritonitis, DSS-induced colitis, and MSU-induced gouty inflammation in mice.

CONCLUSIONS: Collectively, the current study discoveries the antimicrobial agent CQ as a potentially specific NLRP3 inhibitor, and its use provides a feasible therapeutic approach for the treatment of NLRP3-driven diseases.

PMID:39701924 | DOI:10.1186/s10020-024-01016-1