A small molecule that selectively inhibits the growth of Epstein-Barr virus-latently infected cancer cells.

Epstein-Barr virus (EBV), an oncogenic herpesvirus, is predominantly found in the latent infection form and is highly associated with many human malignancies, which mainly have poor prognoses and no effective treatments. Here, we obtained thirteen compounds from small-molecule libraries for specific inhibition of EBV-latently infected cell growth in vitro by high-throughput screening. Among them, cetrimonium bromide (CetB) was identified to selectively inhibit the growth of different EBV-infected B lymphoma cell lines. Importantly, CetB reduced EBNA1 protein stability, activated G1 arrest and early apoptosis of EBV-latently infected cells without viral lytic reactivation, which leads to dramatically inhibit colony formation and tumor growth of EBV-infected cells in vitro and in vivo, and significantly prolong the survival of tumor-bearing mice. Overall, these findings demonstrate that CetB acts as a highly selective inhibitor of the growth of EBV-infected cells and has the potential for further development of effective therapeutic strategies specific against EBV-associated cancers.

Determining the pharmacological potential and biological role of linear pseudoscorpion toxins via functional profiling.

Arthropod venoms contain bioactive molecules attractive for biomedical applications. However, few of these have been isolated, and only a tiny number has been characterized. Pseudoscorpions are small arachnids whose venom has been largely overlooked. Here, we present the first structural and functional assessment of the checacin toxin family, discovered in the venom of the house pseudoscorpion (Chelifer cancroides). We combined in silico and in vitro analyses to establish their bioactivity profile against microbes and various cell lines. This revealed inhibitory effects against bacteria and fungi. We observed cytotoxicity against specific cell types and effects involving second messengers. Our work provides insight into the biomedical potential and evolution of pseudoscorpion venoms. We propose that plesiotypic checacins evolved to defend the venom gland against infection, whereas apotypic descendants evolved additional functions. Our work highlights the importance of considering small and neglected species in biodiscovery programs.

Medicinal chemistry curriculum and pedagogical practices at Canadian pharmacy schools: Towards standardization of practice.

INTRODUCTION: Medicinal chemistry instruction in PharmD programs at Canadian universities is considered an important foundational science. However, with few guidelines for the required content most programs have observed a decrease in hours of medicinal chemistry instruction. A Medicinal Chemistry Special Interest Group (SIG) was formed to address these issues nationally and initiated a pan-Canadian environmental scan to better understand the depth and breadth of medicinal chemistry instruction. METHODS: The SIG carried out an environmental scan to identify medicinal chemistry content, delivery and assessments in PharmD programs in Canada. RESULTS: Core medicinal chemistry concepts across the PharmD programs are in general agreement with those listed by the Accreditation Council for Pharmacy Education. Medicinal chemistry was typically taught as didactic lectures either as a standalone course or within a pharmacology course, although one program integrated some medicinal chemistry within therapeutics focused problem-based learning. There was no consistent time in program where medicinal chemistry occurred. CONCLUSIONS: The SIG found that similar medicinal chemistry content is taught across all Canadian PharmD programs, but incorporation of medicinal chemistry in therapeutics courses was minimal. Core concepts within six high-level overarching themes that guide our collective instruction were identified. The core concepts require developing high-level cognitive processes such as knowledge application and synthesis that practicing pharmacists are expected to possess for entry to practice. We the authors posit that in addition to providing a unique tool for pharmacists to employ in therapeutic decision-making, medicinal chemistry also provides early practice of important problem-solving and critical thinking skills.

An NLP-based technique to extract meaningful features from drug SMILES.

NLP is a well-established field in ML for developing language models that capture the sequence of words in a sentence. Similarly, drug molecule structures can also be represented as sequences using the SMILES notation. However, unlike natural language texts, special characters in drug SMILES have specific meanings and cannot be ignored. We introduce a novel NLP-based method that extracts interpretable sequences and essential features from drug SMILES notation using N-grams. Our method compares these features to Morgan fingerprint bit-vectors using UMAP-based embedding, and we validate its effectiveness through two personalized drug screening (PSD) case studies. Our NLP-based features are sparse and, when combined with gene expressions and disease phenotype features, produce better ML models for PSD. This approach provides a new way to analyze drug molecule structures represented as SMILES notation, which can help accelerate drug discovery efforts. We have also made our method accessible through a Python library.

Nanosphere pharmacodynamics improves safety of immunostimulatory cytokine therapy.

Systemic administration of interleukin (IL)-12 induces potent anti-tumor immune responses in preclinical cancer models through the systemic activation of effector immune cells and release of proinflammatory cytokines. IL-12-loaded PLGA nanospheres (IL12ns) are hypothesized to improve therapeutic efficacy and thwart unwanted side effects observed in previous human clinical trials. Through the investigation of peripheral blood and local tissue immune responses in healthy BALB/c mice, the immune-protective pharmacodynamics of IL12ns were suggested. Nanospheres increased pro-inflammatory plasma cytokines/chemokines (IFN-γ, IL-6, TNF-α, and CXCL10) without inducing maladaptive transcriptomic signatures in circulating peripheral immune cells. Gene expression profiling revealed activation of pro-inflammatory signaling pathways in systemic tissues, the likely source of these effector cytokines. These data support that nanosphere pharmacodynamics, including shielding IL-12 from circulating immune cells, depositing peripherally in systemic immune tissues, and then slowly eluting bioactive cytokine, thereafter, are essential to safe immunostimulatory therapy.

Insights into the action of the pharmaceutical metformin: Targeted inhibition of the gut microbial enzyme agmatinase.

Metformin is the first-line treatment for type 2 diabetes, yet its mechanism of action is not fully understood. Recent studies suggest metformin's interactions with gut microbiota are responsible for exerting therapeutic effects. In this study, we report that metformin targets the gut microbial enzyme agmatinase, as a competitive inhibitor, which may impair gut agmatine catabolism. The metformin inhibition constant (Ki) of E. coli agmatinase is 1 mM and relevant in the gut where the drug concentration is 1-10 mM. Metformin analogs phenformin, buformin, and galegine are even more potent inhibitors of E. coli agmatinase (Ki = 0.6, 0.1, and 0.007 mM, respectively) suggesting a shared mechanism. Agmatine is a known effector of human host metabolism and has been reported to augment metformin's therapeutic effects for type 2 diabetes. This gut-derived inhibition mechanism gives new insights on metformin's action in the gut and may lead to significant discoveries in improving metformin therapy.

Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting.

Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings. Two independent reviewers conducted pilot studies, including manual screening and evaluation of Research Screener, and used the kappa-coefficient for inter-reviewer reliability. After initial deduplication of the search strategy results, 27 597 references were available for screening. Research Screener excluded 1735 references, including 451 duplicate titles and 1269 reports with no abstract/title, which were manually screened. The remainder (25 862) were subject to the machine learning screening process. All eligible articles for the systematic review were extracted from <10% of the references available for screening. Moderate inter-reviewer reliability was achieved, with kappa-coefficient ≥0.75. Overall, 324 references were subject to full-text reading and 118 were deemed relevant for the systematic review. Our study showed that a broad search strategy to optimize the literature captured for systematic reviews can be efficiently screened by the semi-automated machine learning tool, Research Screener.

Design, synthesis and mechanistic anticancer activity of new acetylated 5-aminosalicylate-thiazolinone hybrid derivatives.

The development of hybrid compounds has been widely considered as a promising strategy to circumvent the difficulties that emerge in cancer treatment. The well-established strategy of adding acetyl groups to certain drugs has been demonstrated to enhance their therapeutic efficacy. Based on our previous work, an approach of accommodating two chemical entities into a single structure was implemented to synthesize new acetylated hybrids (HH32 and HH33) from 5-aminosalicylic acid and 4-thiazolinone derivatives. These acetylated hybrids showed potential anticancer activities and distinct metabolomic profile with antiproliferative properties. The in-silico molecular docking predicts a strong binding of HH32 and HH33 to cell cycle regulators, and transcriptomic analysis revealed DNA repair and cell cycle as the main targets of HH33 compounds. These findings were validated using in vitro models. In conclusion, the pleiotropic biological effects of HH32 and HH33 compounds on cancer cells demonstrated a new avenue to develop more potent cancer therapies.

Unlocking the secrets of doxepin hydrochloride's crystal structure: Insights from high-quality powder diffraction analysis.

Doxepin hydrochloride, a versatile pharmaceutical compound, has been the subject of extensive research aimed at elucidating its crystal structure and solid-state characteristics. In this manuscript, we explore the significance of high-quality powder diffraction data in unveiling the intricate details of doxepin hydrochloride's crystal lattice. By examining the refined atom coordinates, density functional theory (DFT) optimization, and intermolecular interactions, we gain valuable insights into its structural conformation. This knowledge highlights the importance of precise crystallographic data in advancing our understanding of complex compounds and their pharmaceutical applications.

A moderate dosage of prostaglandin E2-mediated annexin A1 upregulation promotes alkali-burned corneal repair.

Corneal alkali burn remains a clinical challenge in ocular emergency, necessitating the development of effective therapeutic drugs. Here, we observed the arachidonic acid metabolic disorders of corneas induced by alkali burns and aimed to explore the role of Prostaglandin E2 (PGE2), a critical metabolite of arachidonic acid, in the repair of alkali-burned corneas. We found a moderate dosage of PGE2 promoted the alkali-burned corneal epithelial repair, whereas a high dosage of PGE2 exhibited a contrary effect. This divergent effect is attributed to different dosages of PGE2 regulating ANXA1 expression differently. Mechanically, a high dosage of PGE2 induced higher GATA3 expression, followed by enhanced GATA3 binding to the ANXA1 promoter to inhibit ANXA1 expression. In contrast, a moderate dosage of PGE2 increased CREB1 phosphorylation and reduced GATA3 binding to the ANXA1 promoter, promoting ANXA1 expression. We believe PGE2 and its regulatory target ANXA1 could be potential drugs for alkali-burned corneas.

Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells.

Tumor suppressor p53 plays a pivotal role in suppressing cancer, so various drugs has been suggested to upregulate its function. However, drug resistance is still the biggest hurdle to be overcome. To address this, we developed a deep learning model called AnoDAN (anomalous gene detection using generative adversarial networks and graph neural networks for overcoming drug resistance) that unravels the hidden resistance mechanisms and identifies a combinatorial target to overcome the resistance. Our findings reveal that the TGF-ß signaling pathway, alongside the p53 signaling pathway, mediates the resistance, with THBS1 serving as a core regulatory target in both pathways. Experimental validation in lung cancer cells confirms the effects of THBS1 on responsiveness to a p53 reactivator. We further discovered the positive feedback loop between THBS1 and the TGF-ß pathway as the main source of resistance. This study enhances our understanding of p53 regulation and offers insights into overcoming drug resistance.

Transcriptomic and proteomic assessment of tocilizumab response in a randomized controlled trial of patients hospitalized with COVID-19.

High interleukin (IL)-6 levels are associated with greater COVID-19 severity. IL-6 receptor blockade by tocilizumab (anti-IL6R; Actemra) is used globally for the treatment of severe COVID-19, yet a molecular understanding of the therapeutic benefit remains unclear. We characterized the immune profile and identified cellular and molecular pathways modified by tocilizumab in peripheral blood samples from patients enrolled in the COVACTA study, a phase 3, randomized, double-blind, placebo-controlled trial of the efficacy and safety of tocilizumab in hospitalized patients with severe COVID-19. We identified markers of inflammation, lymphopenia, myeloid dysregulation, and organ injury that predict disease severity and clinical outcomes. Proteomic analysis confirmed a pharmacodynamic effect for tocilizumab and identified novel pharmacodynamic biomarkers. Transcriptomic analysis revealed that tocilizumab treatment leads to faster resolution of lymphopenia and myeloid dysregulation associated with severe COVID-19, indicating greater anti-inflammatory activity relative to placebo and potentially leading to faster recovery in patients hospitalized with COVID-19.

N4-hydroxycytidine, the active compound of Molnupiravir, promotes SARS-CoV-2 mutagenesis and escape from a neutralizing nanobody.

N4-hydroxycytidine (NHC), the active compound of the drug Molnupiravir, is incorporated into SARS-CoV-2 RNA, causing false base pairing. The desired result is an "error catastrophe," but this bears the risk of mutated virus progeny. To address this experimentally, we propagated the initial SARS-CoV-2 strain in the presence of NHC. Deep sequencing revealed numerous NHC-induced mutations and host-cell-adapted virus variants. The presence of the neutralizing nanobody Re5D06 selected for immune escape mutations, in particular p.E484K and p.F490S, which are key mutations of the Beta/Gamma and Omicron-XBB strains, respectively. With NHC treatment, nanobody resistance occurred two passages earlier than without. Thus, within the limitations of this purely in vitro study, we conclude that the combined action of Molnupiravir and a spike-neutralizing antagonist leads to the rapid emergence of escape mutants. We propose caution use and supervision when using Molnupiravir, especially when patients are still at risk of spreading virus.

Engineering a versatile and retrievable cell macroencapsulation device for the delivery of therapeutic proteins.

Encapsulated cell therapy holds a great potential to deliver sustained levels of highly potent therapeutic proteins to patients and improve chronic disease management. A versatile encapsulation device that is biocompatible, scalable, and easy to administer, retrieve, or replace has yet to be validated for clinical applications. Here, we report on a cargo-agnostic, macroencapsulation device with optimized features for protein delivery. It is compatible with adherent and suspension cells, and can be administered and retrieved without burdensome surgical procedures. We characterized its biocompatibility and showed that different cell lines producing different therapeutic proteins can be combined in the device. We demonstrated the ability of cytokine-secreting cells encapsulated in our device and implanted in human skin to mobilize and activate antigen-presenting cells, which could potentially serve as an effective adjuvant strategy in cancer immunization therapies. We believe that our device may contribute to cell therapies for cancer, metabolic disorders, and protein-deficient diseases.

Pharmacologic inhibition of glycolysis prevents the development of lupus by altering the gut microbiome in mice.

Gut dysbiosis has been associated with lupus pathogenesis, and fecal microbiota transfers (FMT) from lupus-prone mice shown to induce autoimmune activation into healthy mice. The immune cells of lupus patients exhibit an increased glucose metabolism and treatments with 2-deoxy-D-glucose (2DG), a glycolysis inhibitor, are therapeutic in lupus-prone mice. Here, we showed in two models of lupus with different etiologies that 2DG altered the composition of the fecal microbiome and associated metabolites. In both models, FMT from 2DG-treated mice protected lupus-prone mice of the same strain from the development of glomerulonephritis, reduced autoantibody production as well as the activation of CD4+ T cells and myeloid cells as compared to FMT from control mice. Thus, we demonstrated that the protective effect of glucose inhibition in lupus is transferable through the gut microbiota, directly linking alterations in immunometabolism to gut dysbiosis in the hosts.

Development of a New Method to Evaluate the Biodistribution of Antibodies Using Non-Radioactive Metal Labeling and Inductively Coupled Plasma Mass Spectrometry.

PURPOSE: The use of radiolabeled compounds is associated with a number of limitations. Therefore, a new method for the radioisotope-free evaluation of antibody distribution using metal labeling and inductively coupled plasma-mass spectrometry (ICP-MS) was developed herein. METHODS: Indium-labeled monoclonal antibodies were administrated intravenously to tumor-bearing mice and cynomolgus monkeys, and antibody concentrations in plasma and tissues were measured by ICP-MS. The results were compared with those obtained using a ligand binding assay (LBA) and radioisotope-labeled antibody administration. Indium-, terbium-, holmium-, and yttrium-labeled cetuximab were co-administered to one C57BL/6 J mouse for simultaneous PK and tissue distribution evaluations. RESULTS: The administration of a radioactive or non-radioactive indium-labeled anti-human interleukin-6 receptor (hIL-6R) antibody to tumor-bearing hIL-6R transgenic mice resulted in similar plasma antibody concentration-time profiles by ICP-MS, a ligand binding assay (LBA), and gamma-ray detector. Liver, kidney, brain, spleen, and tumor concentrations of antibodies measured by ICP-MS were similar to those after the administration of radiolabeled anti-hIL-6R antibodies. Following the administration of indium-labeled cetuximab to cynomolgus monkeys, plasma antibody concentrations measured by ICP-MS were similar to those measured by LBA, and antibody concentrations in organs were evaluable by ICP-MS. The PK of all metals were similar to antibody PK evaluated by LBA, and concentrations in each tissue were equivalent among metals. CONCLUSIONS: The assessment of antibody distribution using ICP-MS is a novel alternative to the traditional radiolabeled approach. It facilitates the assessment of antibody distribution in the early stages of drug discovery and accelerates the assessment of target engagement.

Allyl isothiocyanate dry powder inhaler based on cyclodextrin-metal organic frameworks for pulmonary delivery.

In this study, allyl isothiocyanate (AITC) was prepared as the dry powder inhalation by loading cyclodextrin metal-organic framework (CD-MOF) to enhance pulmonary delivery. ß-CD-MOF and γ-CD-MOF both could be used to carry AITC with the optimal loading conditions (50˚C, n CD: n AITC = 1:7, 7 h). Compared with ß-CD-MOF, γ-CD-MOF had more advantages in AITC loading due to its high drug loading and stable crystal morphology. The particle size and the mass median aerodynamic diameter of γ-CD-MOF-AITC were accorded with the aerodynamic characteristics of lung inhalation. γ-CD-MOF-AITC might be deposited effectively in the deep lung, and the release rate of AITC reached over 90% within 5 min. Meanwhile, it had good pulmonary local tolerance, permeability, and no significant toxicity. Such results indicated that γ-CD-MOF could be used as a dry powder inhaler carrier to deliver safely AITC to lung and increase its pulmonary absorption.

The Use of Simulation Based Learning: With Bachelor of Science Pharmaceutical Science and PharmD Students.

Background and purposeInterprofessional education between bachelor of science pharmaceutical science (BSPS) students and Doctor of Pharmacy (PharmD) students is rare. According to the Association of American Medical Colleges, more than 80% of medical schools incorporate simulation based teaching within all four years of the curriculum. Educational activity and setting: The University of Rhode Island College of Pharmacy healthcare simulation lab has developed integrated educational opportunities for both groups of students by offering independent study opportunities that allow BSPS students to collaborate with PharmD students. A recent example of this model includes BSPS student development of patient cases which are integrated into high-fidelity human patient simulators with faculty assistance. A senior BSPS student researched and designed four clinical patient cases which were presented to P3 pharmacy students. Findings: In all four cases, there was an increase in knowledge and attitudes following the simulation. Qualitative comments from students noted the importance of patient education and an enhanced ability to manage disease and side effects. Summary: The nature of the simulation lab at the University of Rhode Island is a platform that can be modeled by other institutions with both PharmD and BSPS programs.

Fluorinated triphenylphosphonium analogs improve cell selectivity and in vivo detection of mito-metformin.

Triphenylphosphonium (TPP+) conjugated compounds selectively target cancer cells by exploiting their hyperpolarized mitochondrial membrane potential. To date, studies have focused on modifying either the linker or the cargo of TPP+-conjugated compounds. Here, we investigated the biological effects of direct modification to TPP+ to improve the efficacy and detection of mito-metformin (MMe), a TPP+-conjugated probe we have shown to have promising preclinical efficacy against solid cancer cells. We designed, synthesized, and tested trifluoromethyl and methoxy MMe analogs (pCF3-MMe, mCF3-MMe, and pMeO-MMe) against multiple distinct human cancer cells. pCF3-MMe showed enhanced selectivity toward cancer cells compared to MMe, while retaining the same signaling mechanism. Importantly, pCF3-MMe allowed quantitative monitoring of cellular accumulation via 19F-NMR in vitro and in vivo. Furthermore, adding trifluoromethyl groups to TPP+ reduced toxicity in vivo while retaining anti-tumor efficacy, opening an avenue to de-risk these next-generation TPP+-conjugated compounds.