Oral drug absorption is the primary route for drug administration. However, this process hinges on multiple factors, including the drug’s physicochemical properties, formulation characteristics, and gastrointestinal physiology. Given its intricacy and the exorbitant costs associated with experimentation, the trial-and-error method proves prohibitively expensive. Theoretical models have emerged as a cost-effective alternative by assimilating data from diverse experiments and theoretical considerations. These models fall into three categories: data-driven models, encompassing classical pharmacokinetics, quantitative-structure models (QSAR), and machine/deep learning. Mechanism-based models include quasi-equilibrium, steady-state, and physiologically based pharmacokinetics, alongside first principles such as molecular dynamics and continuum models. This review provides an overview of recent modeling endeavors across these categories, evaluating their respective advantages and limitations. Additionally, a primer on partial differential equations and their numerical solutions is included in the supplementary materials, recognizing their utility in modeling physiological systems despite their mathematical complexity limiting their widespread application in this field.

Fluorination of lead compounds in drug discovery has long been one of the medicinal chemists' favorite strate-gies in the strive for improved new drugs from both pharmacokinetic and pharmacodynamic points of view. Fluorine, being the most electronegative atom in the periodic table affects many molecular properties such as the electron charge distribution, conformation, H-bonding capacity, polarity, li pophilicity, acidity/basicity and more. Hence, these effects may lead to improve-ment of drug candidates in one or more pharmacolog-ical aspects such as binding affinity, metabolic stability, membrane/blood-brain barrier permeability, bioavail-ability and more. Among different fluorine-containing moieties, the CF₂H group has been gaining attention as it possesses many special properties including the unique hydrogen bonding ability that renders it as a potential bioisostere for OH, NH and SH. This fascinating group also leads to changes in all the above mentioned molecular properties of the parent molecules bearing it, and there-fore, may be considered as a surrogate for CF₃ and CH₃.

Objective Burkholderia pseudomallei, the etiological cause of melioidosis, is a soil saprophyte endemic in South-East Asia, where it constitutes a public health concern of high-priority. Melioidosis cases are sporadically identified in nonendemic areas, usually associated with travelers or import of goods from endemic regions. Due to extensive intercontinental traveling and the anticipated climate change-associated alterations of the soil bacterial flora, there is an increasing concern for inadvertent establishment of novel endemic areas, which may expand the global burden of melioidosis. Rapid diagnosis, isolation and characterization of B. pseudomallei isolates is therefore of utmost importance particularly in non-endemic locations. Data description We report the genome sequences of two novel clinical isolates (MWH2021 and MST2022) of B. pseudomallei identified in distinct acute cases of melioidosis diagnosed in two individuals arriving to Israel from India and Thailand, respectively. The data includes preliminary genetic analysis of the genomes determining their phylogenetic classification in rapport to the genomes of 131 B. pseudomallei strains documented in the NCBI database. Inspection of the genomic data revealed the presence or absence of loci encoding for several documented virulence determinants involved in the molecular pathogenesis of melioidosis. Virulence analysis in murine models of acute or chronic melioidosis established that both strains belong to the highly virulent class of B. pseudomalleii.

Ricin, an extremely potent toxin produced from the seeds of castor plant, Ricinus communis, is ribosome-inactivating protein that blocks cell-protein synthesis. It is considered a biological threat due to worldwide availability of castor beans, massive quantities as a by-product of castor oil production, high stability and ease of production. The consequence of exposure to lethal dose of ricin was extensively described in various animal models. However, it is assumed that in case of aerosolized ricin bioterror attack, the majority of individuals would be exposed to sublethal doses rather than to lethal ones. Therefore, the purpose of current study was to assess short- and long-term effects on physiological parameters and function following sublethal pulmonary exposure. We show that in the short-term, sublethal exposure of mice to ricin resulted in acute lung injury, including interstitial pneumonia, cytokine storm, neutrophil influx, edema and cellular death. This damage was manifested in reduced lung performance and physiological function. Interestingly, although in the long-term, mice recovered from acute lung damage and restored pulmonary and physiological functionality, the reparative process was associated with lasting fibrotic lesions. Therefore, restriction of short-term acute phase of the disease and management of long-term pulmonary fibrosis by medical countermeasures is expected to facilitate the quality of life of exposed survivors.

Novichoks is the latest known class of organophosphorus nerve agents to be developed. These highly lethal persistent agents, which exert their toxicity mainly through dermal exposure, pose new major challenges in mitigating their effect, mainly in respect to decontamination and medical countermeasures. Herein we report on the effective degradation of Novichok agents (A-230, A-232 and A-234) by hydroxamic acid salts. This class of α-nucleophiles, with emphasis on the FDA approved drug acetohydroxamic acid, were found to promote rapid hydrolysis of these extremely toxic agents. Using 31P NMR the Novichoks degradation rates were determined to be in time scale of minutes with the following order of reactivity A-230>A-232>A-234. The degradation efficiency was found to be dependent on the nucleophiles, their counter-cations and the specific solvent mixture used. Hence, these scavengers can serve as efficient and mild decontaminants in various scenarios including surfaces, dermal decontamination (as an alternative to active lotions such as the RSDL® kit) and also as a medical countermeasure in the form of “catch-up therapy”.

We present a multidisciplinary study of the microphysics, mesoscale and synoptic conditions of a rare radiation-fog event in the central and southern regions of Israel during January 3-6, 2021. The fog developed during nighttime from south to central coastal areas and dissipated at morning. The synoptic conditions were dominated by Red Sea Troughs at the surface without cyclonic upper air circulation, suitable for radiation fog development. In-situ measurements were combined with satellite imagery, high resolution (1-km grid size) Weather Research and Forecast model (WRF) with Real-Time Four-Dimensional Data Assimilation (RTFDDA) forecasts and post-processing algorithms including machine learning (ML) to analyze this event and to evaluate its numerical forecasting. The micro-physical analysis involved measurements of droplet size distribution and visibility range, allowing the calculation of liquid-water content and effective diameter of fog droplets. The measured visibility range was 90 m. The droplet diameter main mode was 1-2 micrometers, followed by another one around 6 micrometers. Typical liquid-water content values were 0.01-0.025 g/m3. WRF-RTFDDA mesoscale forecasts, post-processed by simple thresholds-based and ML algorithms, largely succeeded in predicting the temporal and spatial development of the dense fog. They proved useful in distinguishing between near-surface fog and elevated fog/low clouds, a distinction not possible from satellite imagery only. Clear patches at coastal areas covered in part by urban landuse were observed both in satellite imagery and model forecasts. WRF-RTFDDA forecasts proved their usefulness in forecasting this massive fog and low clouds events and in providing alerts to operational users and field campaign deployments.

Lipids are an important component of food and oral drug formulations. Upon release into gastrointestinal fluids, triglycerides, common components of foods and drug delivery systems, form emulsions and are digested into simpler amphiphilic lipids (e.g., fatty acids) that can associate with intestinal bile micelles and impact their drug solubilization capacity. Digestion of triglycerides is dynamic and dependent on lipid quantity and type, and quantities of other components in the intestinal environment (e.g., bile salts, lipases). The ability to predict lipid digestion kinetics in the intestine could enhance understanding of lipid impact on the fate of co-administered compounds (e.g., drugs, nutrients). In this study, we present a kinetic model that can predict the lipolysis of emulsions of triolein, a model long-chain triglyceride, as a function of triglyceride amount, droplet size, and quantity of pancreatic lipase in an intestinal environment containing bile micelles. The model is based on a Ping Pong Bi Bi mechanism coupled with quantitative analysis of partitioning of lipolysis products in colloids, including bile micelles, in solution. The agreement of lipolysis model predictions with experimental data suggests that the mechanism and proposed assumptions adequately represent triglyceride digestion in a simulated intestinal environment. In addition, we demonstrate the value of such a model over simpler, semi-mechanistic models reported in the literature. This lipolysis framework can serve as a basis for modeling digestion kinetics of different classes of triglycerides and other complex lipids as relevant in food and drug delivery systems.

Resuspension of colloidal particles plays an important role in various environmental and industrial implications and is particularly influenced by the interactions at the particle-surface interface. Here we explore the effect of surface roughness on resuspension of colloidal particles by incorporating a phenomenological adhesion model that includes surface roughness into a stochastic resuspension model, and into the kinetic, probability-based approach Rock'n'Roll model to provide a more realistic description. Within this framework, we investigate the influence of stochasticity on the resuspended fraction and explore its dependence on particle size and surface roughness. Our findings show that introducing roughness into a stochastic resuspension scheme results in an increase of the resuspended fraction by an order of magnitude. Additionally, our results underscore the contribution of stochasticity in the resuspension process, in which the noise term enables the inclusion of important but less frequent events that contribute to the resuspension probabilities. In all, the introduction of roughness into both approaches result with a significant improvement in the reconstruction of experimental data, where the stochastic description shows better agreement.

The emergence of rapidly spreading variants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) poses a major challenge to vaccines’ protective efficacy. Intramuscular (IM) vaccine administration induces short-lived immunity but does not prevent infection and transmission. New vaccination strategies are needed to extend the longevity of vaccine protection, induce mucosal and systemic immunity and prevent viral transmission. The intranasal (IN) administration of the VSV–ΔG–spike vaccine candidate directly to mucosal surfaces yielded superior mucosal and systemic immunity at lower vaccine doses. Compared to IM vaccination in the K18–hACE2 model, IN vaccination preferentially induced mucosal IgA and T-cells, reduced the viral load at the site of infection, and ameliorated disease-associated brain gene expression. IN vaccination was protective even one year after administration. As most of the world population has been vaccinated by IM injection, we demonstrate the potential of a heterologous IM + IN vaccination regimen to induce mucosal immunity while maintaining systemic immunity. Furthermore, the IM + IN regimen prevented virus transmission in a golden Syrian hamster co-caging model. Taken together, we show that IN vaccination with VSV–ΔG–spike, either as a homologous IN + IN regimen or as a boost following IM vaccination, has a favorable potential over IM vaccination in inducing efficient mucosal immunity, long-term protection and preventing virus transmission.

Efficient treatment of anthrax-related meningitis in patients poses a significant therapeutic challenge. Previously, we demonstrated in our anthrax meningitis rabbit model that ciprofloxacin treatment is ineffective with most of the treated animals succumbing to the infection. Herein we tested the efficacy of doxycycline in our rabbit model and found it highly effective. Since all of our findings are based on a rabbit model, we test the efficacy of ciprofloxacin or doxycycline in a specific central nervous system (CNS) model developed in non-human primates (NHPs). Similar to rabbits, ciprofloxacin treatment was ineffective, while doxycycline protected the infected rhesus macaques (n = 2) from the lethal CNS Bacillus anthracis infection. To test whether the low efficacy of Ciprofloxacin is an example of low efficacy of all fluoroquinolones or only this substance, we treated rabbits that were inoculated intracisterna magna (ICM) with levofloxacin or moxifloxacin. We found that in contrast to ciprofloxacin, levofloxacin and moxifloxacin were highly efficacious in treating lethal anthrax-related meningitis in rabbits and NHP (levofloxacin). We demonstrated (in naïve rabbits) that this difference probably results from variances in blood–brain-barrier penetration of the different fluoroquinolones. The combined treatment of doxycycline and any one of the tested fluoroquinolones was highly effective in the rabbit CNS infection model. The combined treatment of doxycycline and levofloxacin was effective in an inhalation rabbit model, as good as the doxycycline mono-therapy. These findings imply that while ciprofloxacin is highly effective as a post-exposure prophylactic drug, using this drug to treat symptomatic patients should be reconsidered.