ACS Pharmacology & Translational Science

IntroductionCannabinoid receptor-2 (CB2) is an emerging therapeutic target for chronic and inflammatory pain, cancer, and neurological disorders. Understanding the efficacy of CB2 ligands is crucial for future drug design and development. AimsWe aimed to establish a simple and robust system to control CB2 expression using a tetracycline-regulated mammalian expression system (T-REx), to enable application of the Black and Leff operational model to measure the operational efficacy ({tau}) of CB2 ligands. MethodsLigand-induced hyperpolarisation of AtT20 cells transfected with T-REx and human CB2 was measured by FLIPR membrane potential assay. Maximal and submaximal responses of the CB2 ligands were produced by regulating CB2 expression using tetracycline. Data were fitted to the operational model of receptor depletion to quantify the efficacy of seven ligands. Additionally, the maximal initial rate of signalling (IRmax), another putative measure of ligand efficacy, was determined. ResultsAK-F-064, CP55940 and 2-AG exhibited similar efficacy with a {tau} values of 11.4, 11 and 10.4 respectively, while anandamide (AEA) had the lowest efficacy ({tau}=1.07) among the tested agonists. The rank order of operational efficacy and IRmax was similar and was estimated as: AK-F-064 = CP55940 = 2-AG > 5F-AB-PICA = WIN55212-2 > HU-308 = AEA. ConclusionThis inducible expression system provides a reliable platform for quantifying and comparing CB2 ligand efficacy using the operational model. This approach may facilitate more precise CB2-targeted drug development and can be readily extended to other GPCR targets.

Chronic pain affects a significant portion of the global population and imposes substantial clinical and socioeconomic burdens. Current treatments mainly rely on opioid analgesics, which carry serious risks of dependence and misuse, underscoring the urgent need for alternative therapeutic strategies. Galanin receptors (GALR1-3) are known to be involved in modulating pain, yet their specific roles remain poorly understood due to the lack of receptor subtype-selective ligands. Recently, spexin has been identified as an endogenous peptide that selectively activates GALR2 and GALR3, offering a new scaffold for developing pharmacological tools targeting these receptor subtypes. In this study, we report the design and characterization of a modified spexin analog, LIT-01-144, engineered through N-terminal functionalization with a fluorocarbon chain to improve metabolic stability while preserving receptor selectivity. In vitro assays showed that LIT-01-144 has high potency at GALR2 and GALR3, with minimal activity at GALR1. Pharmacokinetic studies revealed a significantly longer plasma half-life compared to native spexin and no central nervous system penetration. In mice, intracerebroventricular administration of LIT-01-144 produced strong antinociceptive effects at doses ten times lower than spexin. While systemic administration showed no notable antinociception in naive animals, LIT-01-144 significantly reduced pain responses in a mouse model of persistent inflammatory pain induced by complete Freunds adjuvant (CFA). This antinociceptive activity was specifically mediated through GALR2 and was independent of opioid receptor pathways. In situ hybridization further showed an increase in Galr2-positive neurons in dorsal root ganglia of inflamed mice. Overall, these findings highlight GALR2 as a promising peripheral target for developing non-opioid analgesics and demonstrate the potential of LIT-01-144 as a valuable tool for understanding GALR2-mediated mechanisms of pain modulation.

The interaction between neuronal nitric oxide synthase (NOS1) and its adaptor protein CAPON (NOS1AP) plays a critical role in various neurological processes and has been implicated in cardiovascular and neuropsychiatric disorders. Disruption of this protein-protein interaction represents a potential therapeutic strategy, yet identifying small molecule inhibitors has been challenging. Here, we present the development and validation of a NanoBiT-based luminescence complementation assay optimized for high-throughput screening (HTS) of NOS1-NOS1AP interaction inhibitors. We engineered NOS1 and NOS1AP fusion proteins with HiBiT and LgBiT complementary subunits, respectively, and established stable CHO-K1 cell lines for robust signal generation. The assay demonstrated excellent performance characteristics with a signal-to-background ratio exceeding 240-fold, and was validated using TAT-GESV, a known peptide inhibitor that showed time- and dose-dependent inhibition. We successfully screened a diverse library of 10,240 compounds and identified 19 validated hits with IC50 values ranging from 2.54 to greater than 30 M, with the majority exhibiting IC50 values below 30 M. The top three compounds exhibited potent inhibitory activity with IC50 values of less than 5 M. This NanoBiT-based assay provides a reliable and efficient platform for discovering novel NOS1-NOS1AP interaction inhibitors and can be adapted for other protein-protein interaction studies.

BackgroundTriple-negative breast cancer (TNBC) presents significant therapeutic limitations due to its aggressive heterogeneity and the rapid emergence of adaptive resistance to apoptosis-based regimens. Addressing these challenges requires polypharmacological strategies capable of modulating multiple signalling networks simultaneously. While the Cannabis sativa phytocomplex offers a vast chemical space for multi-target intervention, the quantitative pharmacological basis of its synergistic interactions remains largely uncharacterised. PurposeThis study aimed to deconstruct the synergistic landscape of high-purity phytocannabinoids (CBD, CBG, CBD-A) in combination with the sesquiterpene {beta}-caryophyllene (BCP) against TNBC, using MDA-MB-231 as a primary model and Hs578T as a validation line. MethodsGrowth Rate (GR) inhibition metrics and the SynergyFinder+ framework were used to map pharmacological interactions across four reference models. Subcellular dynamics and phenotypic transitions were characterised by high-resolution label-free holotomographic microscopy combined with live-cell kinetic imaging and single-cell fate mapping. ResultsTwo highly potent synergistic clusters were identified for CBD-CBG-BCP combinations, with ZIP, HSA, and Bliss synergy scores exceeding 65. CBD-A exhibited minimal interaction potential and was excluded from ternary studies. GR-based quantification further revealed that these combinations produced net cytotoxicity (GR < 0) at sub-IC concentrations of each component. Single-cell fate mapping by holotomographic microscopy identified a temporally ordered death programme: an initial phase of extensive cytoplasmic vacuolisation associated with focal perinuclear space swelling and progressive nuclear compression, morphological hallmarks of autosis, which is followed by a transition to apoptotic execution. The autotic nature of the primary death phase was confirmed by pharmacological rescue with digoxin, a selective inhibitor of the Na,K-ATPase. To the best of our knowledge, this sequential engagement of autosis followed by apoptotic execution represents the first documented instance of such a two-stage death programme in any cellular model. ConclusionThese findings provide robust evidence that specific phytocannabinoid-terpene ratios engage a Na,K-ATPase-regulated autotic programme as an upstream commitment step, followed by apoptotic execution, effectively circumventing the caspase-independent resistance mechanisms characteristic of TNBC. This study establishes a rational, quantitatively validated framework for transitioning from empirical botanical use to evidence-based, multi-target cannabinoid polypharmacology in aggressive breast cancer.

The NLRP3 inflammasome pathway is central to host defense, but dysregulated activation of inflammasomes promotes diseases associated with metabolic syndrome (diabetes, obesity, CVD, MASLD), neurodegenerative diseases (Alzheimers and Parkinsons), autoinflammatory conditions (CAPS, gout), and respiratory illnesses (asthma/COPD, and COVID-19). Therapeutic modulation of NLRP3 is challenging as it requires selective blockade of detrimental inflammasome activation without broadly suppressing innate immunity. Here, we used a phenotypic screen in THP-1 ASC-GFP monocytes to identify FDA-approved drugs that can block LPS-induced priming of NLRP3 inflammasome or inhibit NLRP3 assembly (ASC speck formation) without disrupting upstream priming. Various classes of drugs, such as antidepressants (Fluoxetine, Duloxetine), antihypertensives (Irbesartan, amlodipine, nebivolol), antidiabetics (Rosiglitazone), {beta}-adrenergic agonists (Salmeterol), antimalarials (Mefloquine), antifungals (Azoles, ciclopirox), and antivirals (Saquinavir, Remdesivir), were identified as potent blockers of either priming or assembly of NLRP3 inflammasome. Hits were validated in several biochemical assays, including effect on release of proinflammatory cytokines, autophagy, lysosomal biogenesis, LPS binding, NF-kB nuclear localization, mitochondrial membrane potential, mitochondrial ROS, and biophysical properties of the cell membrane. A subset of identified drugs was tested in murine studies to probe effects on NLRP3 inflammasome assembly/activation and LPS-induced sepsis. Mice treated with ASC puncta blockers showed markedly reduced proinflammatory cytokines in peritoneal lavage and plasma. Mice treated with LPS-priming blockers showed a sex-specific increase in survival rate in the mouse model of LPS-induced mortality, validating the in vitro screen. Further studies in primary human cells and in vivo disease models are needed to assess the repurposing and therapeutic relevance of identified drugs.

The ion channel KCa3.1 plays a role in immune regulation, red blood cell function, and is linked to numerous types of cancer. Various animal toxins, such as maurotoxin, bind to the extracellular side of KCa3.1, providing a potential starting point for inhibitor development. We report in this work the discovery of a novel, small-molecule inhibitor, with a micromolar IC50, which was specifically designed to target plasma-membrane KCa3.1 channels from the extracellular side. This compound can serve as a starting point for the development of more selective inhibitors and probes. For the identification of new extracellular inhibitors, molecular dynamics simulations were performed using the experimental structures of KCa3.1 and maurotoxin. The simulations produced a validated binding mode, highlighting key residues involved in the interaction between the toxin and the channel. These findings laid the foundation for the structure-based identification of novel extracellular small-molecule inhibitors of KCa3.1. The Molport database, containing approximately 50 million compounds, was screened using protein-ligand docking, yielding a hit molecule that was experimentally confirmed using patch clamp assays.

Gastric cancer is among the most common cancers and represents a major public health problem worldwide. New therapeutic strategies and drugs are needed. Anti-angiogenic agents targeting the Vascular Endothelial Growth Factor (VEGF) are used in combination therapy in the clinic, although their efficacy remains modest. We believe that these large anti-VEGF antibodies could be advantageously replaced by smaller peptides with better tissue penetration. In this study, we evaluate the efficacy of a previously described dimer peptide ligand of VEGF, D6, in inhibiting the proliferation of gastric cancer cells and the growth of the corresponding murine xenograft. The activity of the D6 peptide in these assays was comparable to that of bevacizumab, the positive control antibody, although the peptide required repeated injections at higher molar concentrations. These promising results justify the continued optimization of the peptide dimer, currently under investigation in our laboratory.

Triggering receptor expressed on myeloid cells-2 (TREM2) is a key immune receptor in the central nervous system that regulates microglial phagocytosis, survival, and neuroinflammatory responses. TRME2 variants have been established as genetic risk factors for Alzheimers disease (AD). However, the therapeutic development of TREM2 modulators has been limited to antibody-based approaches that face limitations in blood-brain barrier penetration and manufacturing scalability. Furthermore, there are no FDA approved TREM2 therapeutics available to date marking an unmet therapeutic gap. Herein, we report the identification of the first TREM2 small molecule submicromolar binders as a result of optimizing compound 4a to yield S9 with TREM2 binding affinity of 0.95 {micro}M. S9 demonstrated robust TREM2 agonism in cellular assays where it induced proximal Syk phosphorylation, activated downstream NFAT transcriptional signaling, enhanced APOE internalization and microglial phagocytic capacity. Pharmacokinetic profiling of the optimized hits revealed S9 to exhibit improved drug-likeness compared to 4a with 7-fold enhanced aqueous solubility, superior metabolic stability, reduced intrinsic clearance and a 9-fold improved hERG safety margin. Functional validation in human iPSC-derived microglia confirmed that S9 suppresses amyloid-beta (A{beta})-induced IL-1{beta} secretion through a TREM2-dependent mechanism. In human neuron-microglia co-culture models exposed to amyloid stress, S9 treatment preserved synaptic integrity as measured by PSD95 expression that indicates promising neuroprotective activity. Together, these findings establish S9 as a first-TREM2 submicromolar small molecule TREM2 agonist which is orally bioavailable with favorable pharmacokinetic properties and promising therapeutic potential for the treatment of Alzheimers disease.

Despite decades of research, current understanding of the spectrum of targets bound by kinase inhibitors remains incomplete. This complicates mechanism of action studies, drug repurposing, and understanding of adverse responses. Here, we describe kinome-wide profiling of an optimal kinase library (OKL) comprising 192 small molecules selected based on stage of clinical development, chemical diversity, and target coverage. Our results show that polypharmacology is widespread among kinase inhibitors independent of regulatory approval. The generally understood ("assigned") targets of approved molecules are not necessarily the most potently inhibited and off targets include multiple understudied kinases. Moreover, median selectivity has not increased over time. We illustrate the use of synoptic OKL-kinome profiles in identifying potential toxicity targets, repurposing anti-inflammatory drugs for neurodegenerative and infectious diseases, and performing chemical genetic studies. Our studies illustrate how much remains to be discovered about the chemistry and biology of one of the largest classes of human therapeutics.

The hexanucleotide repeat expansion (GGGGCC) in the C9orf72 gene is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). The C9orf72 protein forms a complex with SMCR8 and WDR41 (CSW), which acts as a GTPase-activating protein (GAP) regulating small GTPases like ARF1 and RABs involved in intracellular trafficking. Although these findings implicated the ARF1 dysregulation in ALS/FTD and the critical need for validation of its inhibition as potential intervention, small molecules that target the interactions between CSW and ARF1 are lacking. In this study, we showed that the tyrosine-phosphorylated form (Tyr-782) of ASAP1, an ARF-GAP that inactivates ARF1, is increased in the motor cortex of both sporadic ALS and ALS with C9orf72 mutations. Overexpression of C9orf72 led to Golgi disorganization, partially mimicking the effects of ARF1 inhibitor brefeldin A on dispersion of Golgi apparatus. To identify a better strategy to enhance C9orf72 and ARF1 interactions, we applied rational design and virtual screening of a 40-million compound library of small molecules targeting the ARF1-CSW interface. Molecular docking, MM-GBSA binding energy, ADME/Tox profiles, and interaction analysis established MCULE-5095997944 as a top candidate for ARF1 modulation. MCULE-5095997944 demonstrated strong binding to ARF1 in the nanomolar range, reduced GTP-bound ARF1 levels upon ARF1 activation, and altered ARF1-dependent Golgi organization. These studies identified the first small molecule targeting ARF1-CSW interaction and further support ARF1 modulation as a potential therapeutic approach for ALS/FTD.

BackgroundHepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, highlighting the urgent need for effective therapies. Niclosamide, an FDA-approved anthelmintic, reverses HCC gene expression profile to that of normal hepatocytes, and exhibits promising anti-tumor activity in HCC in vitro; however, its clinical translation is limited by poor aqueous solubility, low bioavailability, and short systemic exposure, resulting in lack of in vivo activity. We previously used an established phosphate prodrug approach to provide proof-of-concept that increasing oral bioavailability was essential for niclosamide to achieve in vivo anti-tumor activity. MethodsWe designed a panel of novel niclosamide prodrugs and screened eight candidates for water solubility, chemical stability, and in vitro anti-proliferative activity in HCC cell lines. The lead compound, SSL-0024, was further evaluated for its pharmacokinetics and anti-tumor efficacy in immunodeficient mice bearing orthotopic HCC patient-derived xenografts (PDX). Mechanisms underlying its observed activity were assessed through protein-level analysis of AKT-mTOR-STAT3, RAF, Wnt/{beta}-catenin signaling pathways, vasorin-associated pathways, and PD-L1. ResultsSSL-0024 demonstrated markedly improved aqueous solubility and stability in gastric and plasma conditions, supporting oral administration. Pharmacokinetic analyses revealed a plasma half-life of [~]24 hours, dramatically extended relative to native niclosamide. Once daily oral administration of SSL-0024 (100 mg/kg) in orthotopic HCC PDX mice achieved [~]60% tumor growth inhibition at only [~]46.8% of the dose required for the positive control (niclosamide ethanolamine), with minimal systemic toxicity. Mechanistically, SSL-0024 concurrently suppressed AKT-mTOR-STAT3 signaling, RAF kinases, Wnt, and VASN-associated pathways, with additional downregulation of PD-L1, resulting in reduced proliferation, survival, and immune-evasion signaling. ConclusionThrough rational design and systematic screening, we have identified a lead niclosamide prodrug candidate, SSL-0024, which exhibited improved water solubility and stability, extended plasma half-life, enhanced oral bioavailability, and preservation of biological activity in vitro and in vivo. Future studies will include combination therapy with standard-of-care treatments, as well as safety and formulation studies to enable its clinical translation for the treatment of HCC and other solid tumors impacted by the multiple oncogenic pathways modulated by niclosamide.

Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglial immune receptor genetically and functionally linked to Alzheimers disease (AD). VG-3927, the first clinical-stage small-molecule TREM2 agonist, has been proposed to function as a transmembrane molecular glue and positive allosteric modulator (PAM). Whether it directly engages the extracellular ligand-recognition surface of TREM2 remains unknown. Here, we used a deep learning-based blind docking algorithm to map potential VG-3927 binding sites across TREM2 and identified a binding site within the ectodomain hydrophobic groove, a ligand-recognition surface previously implicated in A{beta} and apoE binding. Microscale thermophoresis (MST) confirmed direct interaction of VG-3927 with TREM2 under optimized PEG-400 buffer conditions and independently demonstrated binding of A{beta}1-42 to the receptor. Co-incubation with A{beta} reduced the VG-3927 thermophoretic response, consistent with interference at an overlapping ectodomain binding surface. Consistently, A{beta} induced a rightward shift in the VG-3927 dose-response curve in a Jurkat TREM2-DAP12 NFAT reporter assay and attenuated VG-3927-induced phospho-SYK signaling. Together, these findings support the presence of a previously unrecognized ectodomain interaction mode for VG-3927 and suggest that amyloid-associated ligand occupancy may modulate TREM2 agonist activity within the AD microenvironment.

A key challenge in drug development is identification of druggable targets, the modulation of which attenuates disease progression, while avoiding inhibition of proteins that lead to dose-limiting toxicities. Here, we investigate a drug target casein kinase 2 (CK2) - a serine/threonine kinase implicated in cancer, for which existing inhibitors have so far failed in clinical trials. Using molecular and pharmacoepidemiology approaches, we show that small molecules targeting cyclin-dependent kinase (CDK) family members CDK1/2/7/9, including the existing CK2 inhibitors, have a higher risk to induce adverse effects or fail in clinical trials. Based on this finding, we establish a machine learning (ML) assisted discovery pipeline to redesign more specific and allosteric lead compounds against CK2, with a more selective on-target binding and favourable off-target profile. Importantly, we show that such selective design is possible when standard molecular docking and ML algorithms are combined with an error prediction model. In conclusion, our study reports a simple yet efficient ML-powered drug discovery pipeline and novel submicromolar inhibitors targeting clinically relevant CK2 kinase with no clinically approved antagonists available. Our prediction pipeline was able to achieve a 90% hit-rate, significantly reducing the need for subsequent wet-lab validation.

Human immunodeficiency virus (HIV) infection promotes considerable bioenergetic, spatially heterogenous strain to the brain that is incompletely ameliorated through viral suppression afforded by antiretroviral therapy (ART). Disrupted homeostasis of brain lipids after HIV in humans or simian immunodeficiency virus (SIV) infection in rhesus macaques occurs due to elevated energetic demands, neuroinflammation, reactive oxygen species, and barrier leakiness. Brain lipids are particularly vulnerable to HIV-associated dysregulation due to their high abundance, unique composition, and specialized functional roles. Using rhesus macaques exposed to SIV and ART (tenofovir disoproxil fumarate (TDF), emtricitabine (FTC), and dolutegravir (DTG), we investigated the spatial distribution and abundance of lipids across brain regions and metabolically relevant peripheral tissues using mass spectrometry imaging. When comparing lipid abundance, individual lipids representing a multitude of species were more varied across tissues than by treatment condition. Further, we discerned either solely SIV infection or ART outweighed one another in altering phospholipids in different tissues Presence of ART had a greater influence on phospholipid homeostasis in the temporal cortex and hippocampus than in the midbrain, possibly due to differences in penetrance and turnover of ART across brain regions. Overall, these data demonstrate ART robustly increased phospholipids across brain regions while SIV infection had a varied impact depending on the brain region. These findings inform the need to further evaluate the neurologic consequences that may result in the brain due to disrupted lipid homeostasis across ART regimens.

Ribociclib, a selective cyclin-dependent kinase (CDK) 4/6 inhibitor, is approved as a first-line therapy for HR-positive/HER2-negative advanced breast cancer. Emerging evidence suggests that Ribociclib may exert immunomodulatory effects. However, its role in cytokine regulation remains largely unexplored. This study presents a comprehensive in silico investigation of Ribociclibs interactions with eight key pro-inflammatory cytokines--IL-6, TNF-, IL-17A, IL-17F, IL-17A/F, IL-1{beta}, MCP-1, and IFN-{gamma}. Computational assessments included molecular docking, molecular dynamics (MD) simulations, MM-GBSA binding free energy calculations, principal component analysis (PCA), and dynamic cross-correlation matrix (DCCM) analyses. Molecular docking and MD simulations indicated strong and stable complex formation with TNF-, IL-6, MCP-1, IL-1{beta}, and IL-17A/F. MM-GBSA results further showed that Ribociclib formed the most stable complexes with IL-17A/F ({Delta}Gbind = -25.94 kcal/mol) and MCP-1 ({Delta}Gbind = -25.88 kcal/mol), comparable to binding with the CDK-6 ({Delta}Gbind = -36.23 kcal/mol) control protein. PCA and DCCM analyses further supported the stabilizing influence of Ribociclib on these cytokine conformations. Moderate interactions were observed with TNF-, IL-6, and IFN-{gamma}. Collectively, these findings suggest that Ribociclib may function as a multi-target inhibitor capable of modulating diverse inflammatory pathways, providing a computational foundation for its repurposing as a cost-effective anti-inflammatory therapeutic candidate.

Tobacco use disorder is a chronic condition characterized by compulsive nicotine use, withdrawal, and relapse following abstinence. Impulsivity contributes to persistent nicotine use and poor cessation outcomes. This study examined whether nicotinic acetylcholine receptor (nAChR) modulators alter impulsive action in a nicotine self-administration Go/No-Go task in male and female rats. Rats acquired intravenous nicotine self-administration and were then trained in a Go/No-Go procedure in which active lever presses were reinforced during Go periods but not during No-Go periods. We then assessed the effects of varenicline (0.1-3 mg/kg), nicotine (0.1-0.6 mg/kg), and the nAChR antagonist mecamylamine (0.5-2 mg/kg) in the Go/No-Go procedure. Varenicline and nicotine pretreatment reduced active responding during both Go and No-Go periods, whereas mecamylamine selectively reduced responding during No-Go periods. Mecamylamine decreased the percentage of active responses during No-Go trials, indicating reduced bias toward the nicotine-associated lever. In contrast, nicotine and varenicline did not alter response allocation, suggesting that their effects reflected nonspecific reductions in responding rather than changes in impulsive action. No sex differences were observed. Substituting saline for nicotine during self-administration did not alter active responding during Go periods, but rats in the saline group had fewer active responses during No-Go periods than rats in the nicotine group. These results show that chronic nicotine self-administration increases impulsive action and that nAChR antagonism, but not agonism or partial agonism, reduces nicotine-related impulsive action. This work supports the utility of the Go/No-Go self-administration task for investigating nAChR-dependent mechanisms underlying nicotine-induced impulsivity.

Chimeric antigen receptor (CAR) T-cell therapies undergo rapid in vivo expansion followed by contraction and variable long-term persistence after a single infusion, yielding cellular kinetic (CK) profiles that differ fundamentally from conventional small-molecule and biologic pharmacokinetics. Piecewise, phase-based CK models are widely used, but discontinuous switching and constant expansion assumptions can create numerical instability around the transition window and bias the characterization of early expansion and near-peak behavior. Building on our prior saturable expansion framework (Vmax/Km), we advanced CAR-T CK modeling by introducing (i) smooth S-shaped gating to replace discontinuous phase switching and enable continuous time-varying expansion dynamics, and (ii) delay differential equation (DDE) components to evaluate whether longitudinal data support explicit lags in downstream biological processes. Data were pooled from three CAR-T trials (TRANSCEND, KarMMa-3, and EVOLVE) spanning two BCMA-targeted products (ide-cel, orva-cel) and one CD19-targeted product (liso-cel). Models were estimated in Monolix using SAEM with importance sampling for final likelihood evaluation. Model selection relied on likelihood-based criteria (AIC, BIC, and Monolix BICc) and diagnostic assessments. Relative to a constant-expansion baseline, saturable expansion improved fit and reduced systematic model misspecification at high transgene levels (e.g., qPCR transgene copies/{micro}g). Among multiple DDE placements evaluated, the data most strongly supported a delay on effector-to-memory conversion; delays in effector-like and/or memory-like decay were not favored. Simulations indicated that the conversion delay primarily modulated the timing and magnitude of the memory-like trajectory, with minimal impact on total-cell trajectories during the expansion phase at the evaluated scale. In a shared covariate framework with product as a categorical effect, BCMA-targeted products exhibited higher baseline levels and expansion capacity than liso-cel, with stronger evidence for slower effector-like decay for orva-cel than ide-cel. Overall, smooth-gated saturable expansion with DDE-based delayed conversion provides a parsimonious, biologically motivated framework for CAR-T CK and supports cross-product comparisons under harmonized structural assumptions.

Human Neutrophil Elastase (HNE) plays a vital role in several inflammatory diseases, however its role in the tumour microenvironment and the potential in cancer treatment is still unrevealed. Considering the potential of {beta}-lactams as HNE inhibitors, the present work describes the development of a synthetic strategy to obtain two different types (Type I and Type II) of quenched activity-based probes (qABPs), using a {beta}-lactam ring as a warhead and BODIPY-FL as a fluorophore. The two types differ in mechanism and relative position between the fluorophore and the quencher moiety. The qABPs synthesized presented IC50 values against HNE lower than 0.5 {micro}M, and high selectivity compared with homologous serine hydrolases. Type II qABPs showed a more efficient turn-on mechanism, and selectively targeted HNE in different cell lysates. The qABP 22 was internalized in U937 cells and in human neutrophils and successfully targeted HNE in both.

Cannabidiol (CBD) and cannabigerol (CBG) are non-psychoactive cannabinoids that exert diverse biological activities in both normal and cancerous epithelial cells. Although autophagy plays a pivotal role in maintaining cellular homeostasis, the effects of combined CBD-CBG treatment on autophagic regulation across epithelial cell types remain largely unexplored. In this study, GFP-LC3-RFP reporter assays and ATG9-deficient cell models were employed to examine the influence of CBD and CBG on autophagy in Ca9-22 and HaCaT cells. Certain concentrations of either compound alone failed to induce autophagy and, in some cases, appeared to suppress autophagic activity. In contrast, their combined administration markedly enhanced autophagic flux in both cell lines. Low-dose CBG or high-dose CBD promoted differential greater cell survival in HaCaT-WT cells compared to their ATG9-KO counterparts. Collectively, these findings provide novel insights into the cooperative regulation of autophagy by CBD and CBG, underscoring their combined effects on cellular autophagic responses in cancer or normal epithelial cells. HighlightsO_LIIn both Ca9-22 and HaCaT cells, certain doses of CBD alone failed to induce autophagy, whereas CBG at some concentrations showed a trend toward autophagy suppression. C_LIO_LISub-effective doses of CBD and CBG in combination enhance autophagic flux in Ca9-22 and HaCaT cells, with some combinations exceeding the flux induced by higher doses of either compound alone. C_LIO_LICBD and CBG exhibit distinct dose-dependent effects on the survival of HaCaT ATG9-deficient cells compared with HaCaT-WT cells, indicating differential ATG9-dependence. C_LI

The hollow fiber infection model (HFIM) is a translational in vitro model that links time-varying human pharmacokinetic profiles to the associated viral dynamic responses, from which pharmacokinetic/pharmacodynamic (PK/PD) targets can be derived. Establishing such targets is essential for antiviral dose selection and optimization. This is particularly important for cytomegalovirus (CMV) infection treatment, which primarily affects vulnerable patient populations. PK/PD targets for ganciclovir, the first-line drug for treatment, are not yet defined. The lack of an undefined PK/PD target makes dose optimization challenging and may result in suboptimal exposure, prolonged toxicity, and the emergence of resistance. For the first time, we have demonstrated the use of a low-cost hemodialyzer hollow fiber cartridge with application for CMV infection using ganciclovir. We have established a system that 1) supports CMV culture for PD analysis, 2) reproduces a clinically relevant ganciclovir PK profile, and 3) maintains consistent drug exposure in the infected cells, allowing reliable PK/PD analysis. Quantitative methods such as tissue culture infectious dose 50% (TCID50) and quantitative PCR were used to assess both active virus replication and genome copies production. Ganciclovir PK was measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This validation study serves as a fundamental step that can allow further PK/PD studies for ganciclovir and other antiviral agents that is still largely understudied. Consequently, this model could provide an affordable and practical platform for establishing clinically relevant PK/PD targets and guide treatment optimization.