Preclinical Drug Development Research Articles

Mechanistic characterization of oscillatory patterns in unperturbed tumor growth dynamics: The interplay between cancer cells and components of tumor microenvironment.

Mathematical modeling of unperturbed and perturbed tumor growth dynamics (TGD) in preclinical experiments provides an opportunity to establish translational frameworks. The most commonly used unperturbed tumor growth models (i.e. linear, exponential, Gompertz and Simeoni) describe a monotonic increase and although they capture the mean trend of the data reasonably well, systematic model misspecifications can be identified. This represents an opportunity to investigate possible underlying mechanisms controlling tumor growth dynamics through a mathematical framework. The overall goal of this work is to develop a data-driven semi-mechanistic model describing non-monotonic tumor growth in untreated mice. For this purpose, longitudinal tumor volume profiles from different tumor types and cell lines were pooled together and analyzed using the population approach. After characterizing the oscillatory patterns (oscillator half-periods between 8-11 days) and confirming that they were systematically observed across the different preclinical experiments available (p<10-9), a tumor growth model was built including the interplay between resources (i.e. oxygen or nutrients), angiogenesis and cancer cells. The new structure, in addition to improving the model diagnostic compared to the previously used tumor growth models (i.e. AIC reduction of 71.48 and absence of autocorrelation in the residuals (p>0.05)), allows the evaluation of the different oncologic treatments in a mechanistic way. Drug effects can potentially, be included in relevant processes taking place during tumor growth. In brief, the new model, in addition to describing non-monotonic tumor growth and the interaction between biological factors of the tumor microenvironment, can be used to explore different drug scenarios in monotherapy or combination during preclinical drug development.

Deep learning in preclinical antibody drug discovery and development.

Antibody drugs have become a key part of biotherapeutics. Patients suffering from various diseases have benefited from antibody therapies. However, its development process is rather long, expensive and risky. To speed up the process, reduce cost and improve success rate, artificial intelligence, especially deep learning methods, have been widely used in all aspects of preclinical antibody drug development, from library generation to hit identification, developability screening, lead selection and optimization. In this review, we systematically summarize antibody encodings, deep learning architectures and models used in preclinical antibody drug discovery and development. We also critically discuss challenges and opportunities, problems and possible solutions, current applications and future directions of deep learning in antibody drug development.

Roles of Nuclear Receptors in Esophageal Cancer.

Esophageal cancer (EC), including esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC), is a highly prevalent malignancy that occurs predominantly in the Asian region and is related to ethnicity, genetics, diet, and lifestyle. The nuclear receptor (NR) superfamily consists of 48 members of the human body. It is a collection of a large class of transcription factors, including Peroxisome proliferator-activated receptors (PPARs), Farnesol X receptor (FXR), Vitamin D receptor (VDR), Retinoic acid receptor (RAR), Pregnane X receptor (PXR), Androgen receptor (AR) and so on. Several NRs have been detected as oncogenes or tumor suppressors in EC progression. NRs are associated with the progression of many cancers, including EC. Some NRs, such as PPARs and FXR, play an important role in EC. Studying the molecular mechanism of NRs in EC is helpful for further understanding the development of EC. Preclinical research and development of small molecule compound drugs targeting NRs have provided new ideas for the potential targeted therapy of EC. This review summarizes the studies on NRs in EC in recent years, mainly including in vitro cell experiments and in vivo animal experiments. NRs influence EC progress in a variety of ways. They mainly affect the proliferation, migration and drug resistance of EC cells by affecting key cancer cell signaling pathways. Activation or inhibition of NRs inhibits or promotes EC progression, depending on EC types and tumor stages. Preclinical studies mainly focus on the development of small molecule drugs for targeting NRs (such as PPARγ agonists, PPARδ inhibitors, and FXR agonists), and agonists or inhibitors of NRs will become a potential therapeutic regimen for EC. The studies on the roles of NRs in EC have provided a theoretical basis for us to further understand the pathogenesis of EC and develop potential therapeutic drugs targeting NRs for the treatment of different diseases.

Targeted quantitative metabolic profiling of brain-derived cell cultures by semi-automated MEPS and LC-MS/MS

The accurate characterisation of metabolic profiles is an important prerequisite to determine the rate and the efficiency of the metabolic pathways taking place in the cells. Changes in the balance of metabolites involved in vital processes such as glycolysis, tricarboxylic acid (TCA) cycle, oxidative phosphorylation (OXPHOS), as well as in the biochemical pathways related to amino acids, lipids, nucleotides, and their precursors reflect the physiological condition of the cells and may contribute to the development of various human diseases. The feasible and reliable measurement of a wide array of metabolites and biomarkers possesses great potential to elucidate physiological and pathological mechanisms, aid preclinical drug development and highlight potential therapeutic targets. An effective, straightforward, sensitive, and selective liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was developed for the simultaneous quali-quantitative analysis of 41 compounds in both cell pellet and cell growth medium obtained from brain-derived cell cultures. Sample pretreatment miniaturisation was achieved thanks to the development and optimisation of an original extraction/purification approach based on digitally programmed microextraction by packed sorbent (eVol®-MEPS). MEPS allows satisfactory and reproducible clean-up and preconcentration of both low-volume homogenate cell pellet lysate and cell growth medium with advantages including, but not limited to, minimal sample handling and method sustainability in terms of sample, solvents, and energy consumption. The MEPS-LC-MS/MS method showed good sensitivity, selectivity, linearity, and precision. As a proof of concept, the developed method was successfully applied to the analysis of both cell pellet and cell growth medium obtained from a line of mouse immortalised oligodendrocyte precursor cells (OPCs; Oli-neu cell line), leading to the unambiguous determination of all the considered target analytes. This method is thus expected to be suitable for targeted, quantitative metabolic profiling in most brain cell models, thus allowing accurate investigations on the biochemical pathways that can be altered in central nervous system (CNS) neuropathologies, including e.g., mitochondrial respiration and glycolysis, or use of specific nutrients for growth and proliferation, or lipid, amino acid and nucleotide metabolism.

Role of Polymeric Micelles in Ocular Drug Delivery: An Overview of Decades of Research.

Local drug delivery to the eye through conventional means has faced many challenges due to three essential barriers: (a) the complex structure of the cornea limiting drug absorption, (b) the capacity of ocular absorptive cells in drug metabolism, and (c) the washing effect of eye tears. Polymeric micelles (PMs) have been the focus of much interest for ocular drug delivery due to several advantages they provide for this application, including the capacity for the solubilization of hydrophobic drugs, nonirritability, nanoscopic diameter, and the clarity of their aqueous solution not interfering with vision. The potential to increase the release and residence time of incorporated medication at the site of absorption is also a bonus advantage for these delivery systems. This Review covers research conducted on single or mixed micelles prepared from small amphiphilic molecules, copolymers (diblock, triblock, and graft), and gel systems containing micelles. The purpose of this review is to provide an update on the status of micellar ocular delivery systems for different indications, with a focus on preclinical and clinical drug development. In this context, we are discussing the anatomy of the eye, various ocular barriers, different micellar formulations, and their benefits in ocular drug delivery, as well as the role of PMs in the management of ocular diseases both in preclinical models and in clinic. The encouraging preclinical effectiveness findings from experiments conducted in both laboratory settings and live animals have paved the way for the advancement of micellar systems in clinical trials for ocular administration and the first nanomicallar formulation approved for clinical use by the United States Food and Drug Administration (marketed as Cequa by Sun Pharmaceuticals).

Anti-IFNg DNA aptamer for Hunner Type Interstitial Cystitis

There is no widely accepted definition for Interstitial cystitis (IC)/bladder pain syndrome (BPS) and very few effective diagnostic biomarkers. Chizuko Koseki is combining her deep knowledge of both urology and nucleic acid/oligonucleotides to develop innovative treatments for Hunner-type IC (HIC). Patients with IC/BPS are classified as either HIC, presenting with a specific Hunner lesion, or BPS presenting without Hunner lesion. There is a distinct lack of treatments, with only one approved drug; 50% dimethyl sulfoxide (DMSO) as intravesical instillation therapy, with the drug put directly into the bladder. An important study enabled scientists to surmise that HIC is a distinct inflammatory disorder that is characterised by pancystitis with an increase in plasma cells and frequent expansion of clonal B-cells, and epithelial denudation. Koseki is the CEO of TAGCyx Biotechnologies, a pre-clinical stage drug development company based in Komaba Open Laboratory, The University of Tokyo, Japan focused on developing novel nucleic acid-based drugs for therapeutic applications. The company focuses on: autoimmune disease; womenâ–™s disease; apheresis; thrombosis; and chronic kidney disease. Oligonucleotides are key to Kosekiâ–™s work; she is using the advantages and characteristics of single strand DNA oligonucleotides to develop some focused disease areas, such as autoimmune diseases, topical applications and womenâ–™s diseases. The team has established a technology platform called Xenoligo® that can screen and stabilise drug candidates utilising oligonucleotide drug discovery. The platform can generate highly potent and efficacious single strand DNA aptamers.

Monoclonal antibodies neutralizing alpha-hemolysin, bicomponent leukocidins, and clumping factor A protected against Staphylococcus aureus-induced acute circulatory failure in a mechanically ventilated rabbit model of hyperdynamic septic shock.

Patients with septic shock caused by Staphylococcus aureus have mortality rates exceeding 50%, despite appropriate antibiotic therapy. Our objectives were to establish a rabbit model of S. aureus septic shock and to determine whether a novel immunotherapy can prevent or halt its natural disease progression. Anesthetized rabbits were ventilated with lung-protective low-tidal volume, instrumented for advanced hemodynamic monitoring, and characterized for longitudinal changes in acute myocardial dysfunction by echocardiography and sepsis-associated biomarkers after S. aureus intravenous challenge. To demonstrate the potential utility of this hyperdynamic septic shock model for preclinical drug development, rabbits were randomized for prophylaxis with anti-Hla/Luk/ClfA monoclonal antibody combination that neutralizes alpha-hemolysin (Hla), the bicomponent pore-forming leukocidins (Luk) including Panton-Valentine leukocidin, leukocidin ED, and gamma-hemolysin, and clumping factor A (ClfA), or an irrelevant isotype-matched control IgG (c-IgG), and then challenged with S. aureus. Rabbits challenged with S. aureus, but not those with saline, developed a hyperdynamic state of septic shock characterized by elevated cardiac output (CO), increased stroke volume (SV) and reduced systemic vascular resistance (SVR), which was followed by a lethal hypodynamic state characterized by rapid decline in mean arterial pressure (MAP), increased central venous pressure, reduced CO, reduced SV, elevated SVR, and reduced left-ventricular ejection fraction, thereby reproducing the hallmark clinical features of human staphylococcal septic shock. In this model, rabbits pretreated with anti-Hla/Luk/ClfA mAb combination had 69% reduction in mortality when compared to those pretreated with c-IgG (P<0.001). USA300-induced acute circulatory failure-defined as >70% decreased in MAP from pre-infection baseline-occurred in only 20% (2/10) of rabbits pretreated with anti-Hla/Luk/ClfA mAb combination compared to 100% (9/9) of those pretreated with c-IgG. Prophylaxis with anti-Hla/Luk/ClfA mAb combination halted progression to lethal hypodynamic shock, as evidenced by significant protection against the development of hyperlactatemia, hypocapnia, hyperkalemia, leukopenia, neutropenia, monocytopenia, lymphopenia, as well as biomarkers associated with acute myocardial injury. These results demonstrate the potential utility of a mechanically ventilated rabbit model that reproduced hallmark clinical features of hyperdynamic septic shock and the translational potential of immunotherapy targeting S. aureus virulence factors for the prevention of staphylococcal septic shock.

Modulators of GABAA receptor-mediated inhibition in the treatment of neuropsychiatric disorders: past, present, and future.

The predominant inhibitory neurotransmitter in the brain, γ-aminobutyric acid (GABA), acts at ionotropic GABAA receptors to counterbalance excitation and regulate neuronal firing. GABAA receptors are heteropentameric channels comprised from subunits derived from 19 different genes. GABAA receptors have one of the richest and well-developed pharmacologies of any therapeutic drug target, including agonists, antagonists, and positive and negative allosteric modulators (PAMs, NAMs). Currently used PAMs include benzodiazepine sedatives and anxiolytics, barbiturates, endogenous and synthetic neurosteroids, and general anesthetics. In this article, I will review evidence that these drugs act at several distinct binding sites and how they can be used to alter the balance between excitation and inhibition. I will also summarize existing literature regarding (1) evidence that changes in GABAergic inhibition play a causative role in major depression, anxiety, postpartum depression, premenstrual dysphoric disorder, and schizophrenia and (2) whether and how GABAergic drugs exert beneficial effects in these conditions, focusing on human studies where possible. Where these classical therapeutics have failed to exert benefits, I will describe recent advances in clinical and preclinical drug development. I will also highlight opportunities to advance a generation of GABAergic therapeutics, such as development of subunit-selective PAMs and NAMs, that are engendering hope for novel tools to treat these devastating conditions.

Preclinical Testing Techniques: Paving the Way for New Oncology Screening Approaches.

Prior to clinical trials, preclinical testing of oncology drug candidates is performed by evaluating drug candidates with in vitro and in vivo platforms. For in vivo testing, animal models are used to evaluate the toxicity and efficacy of drug candidates. However, animal models often display poor translational results as many drugs that pass preclinical testing fail when tested with humans, with oncology drugs exhibiting especially poor acceptance rates. The FDA Modernization Act 2.0 promotes alternative preclinical testing techniques, presenting the opportunity to use higher complexity in vitro models as an alternative to in vivo testing, including three-dimensional (3D) cell culture models. Three-dimensional tissue cultures address many of the shortcomings of 2D cultures by more closely replicating the tumour microenvironment through a combination of physiologically relevant drug diffusion, paracrine signalling, cellular phenotype, and vascularization that can better mimic native human tissue. This review will discuss the common forms of 3D cell culture, including cell spheroids, organoids, organs-on-a-chip, and 3D bioprinted tissues. Their advantages and limitations will be presented, aiming to discuss the use of these 3D models to accurately represent human tissue and as an alternative to animal testing. The use of 3D culture platforms for preclinical drug development is expected to accelerate as these platforms continue to improve in complexity, reliability, and translational predictivity.

Animal models of interstitial cystitis/bladder pain syndrome.

Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) is a chronic disorder characterized by pelvic and/or bladder pain, along with lower urinary tract symptoms that have a significant impact on an individual's quality of life. The diverse range of symptoms and underlying causes in IC/BPS patients pose a significant challenge for effective disease management and the development of new and effective treatments. To facilitate the development of innovative therapies for IC/BPS, numerous preclinical animal models have been developed, each focusing on distinct pathophysiological components such as localized urothelial permeability or inflammation, psychological stress, autoimmunity, and central sensitization. However, since the precise etiopathophysiology of IC/BPS remains undefined, these animal models have primarily aimed to replicate the key clinical symptoms of bladder hypersensitivity and pain to enhance the translatability of potential therapeutics. Several animal models have now been characterized to mimic the major symptoms of IC/BPS, and significant progress has been made in refining these models to induce chronic symptomatology that more closely resembles the IC/BPS phenotype. Nevertheless, it's important to note that no single model can fully replicate all aspects of the human disease. When selecting an appropriate model for preclinical therapeutic evaluation, consideration must be given to the specific pathology believed to underlie the development of IC/BPS symptoms in a particular patient group, as well as the type and severity of the model, its duration, and the proposed intervention's mechanism of action. Therefore, it is likely that different models will continue to be necessary for preclinical drug development, depending on the unique etiology of IC/BPS being investigated.

P06-27: A tool based on the Dempster-Shafer theory for uncertainty assessment and decision-making support in preclinical drug development

P06-27: A tool based on the Dempster-Shafer theory for uncertainty assessment and decision-making support in preclinical drug development

Involvement of adaptive immune responses in a model of subacute colitis induced with dextran sulfate sodium in C57BL/6 mice.

Inflammatory bowel disease (IBD) is a non-specific chronic intestinal inflammatory disorder. Pharmacotherapy serves as the main treatment strategy for IBD; however, the current medications have certain limitations, such as inefficacy and a tendency to induce tolerance, thereby requiring the development of innovative drugs to fulfill therapeutic requirements. A model of acute colitis induced with a solution of approx. 3% dextran sulfate sodium (DSS) has been widely used in preclinical drug development. Nevertheless, this model has some drawbacks, including rapid disease progression leading to mortality in some mice and disparities between the inflammatory characteristics of mice and the pathological features of human IBD. The current study found that mice freely consuming a lower concentration of a DSS solution (1-1.5%) for 10-15 days exhibited milder colitis symptoms. Continued consumption of the DSS solution for 15-20 days resulted in chronic inflammation in colon tissue, accompanied by a significant increase in the proportion of Th1 cells, indicating the involvement of adaptive immune responses. Subsequently, mice were treated with mesalazine or Centella triterpenes while concurrently consuming the DSS solution for 10 days. The treated mice had significant improvements in body weight and colon length compared to the control group. The advantages of this subacute model include minimal mortality among experimental mice and the fact that intestinal mucosal inflammation in mice resembles the pathological features of human IBD, enabling the assessment of drug efficacy against IBD.

MultiGML: Multimodal graph machine learning for prediction of adverse drug events

Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonstrated high utility in practice, they are at the same time limited to specific information sources. Thus, many current computational approaches neglect a wealth of information which results from the integration of different data sources, such as biological protein function, gene expression, chemical compound structure, cell-based imaging and others. In this work we propose an integrative and explainable multi-modal Graph Machine Learning approach (MultiGML), which fuses knowledge graphs with multiple further data modalities to predict drug related adverse events and general drug target-phenotype associations. MultiGML demonstrates excellent prediction performance compared to alternative algorithms, including various traditional knowledge graph embedding techniques. MultiGML distinguishes itself from alternative techniques by providing in-depth explanations of model predictions, which point towards biological mechanisms associated with predictions of an adverse drug event. Hence, MultiGML could be a versatile tool to support decision making in preclinical drug development.

Human skin stem cell-derived hepatic cells as in vitro drug discovery model for insulin-driven de novo lipogenesis

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is characterized by intrahepatic triglyceride accumulation and can progress to metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis. Hepatic de novo lipogenesis (DNL), activated by glucose and insulin, is a central pathway contributing to early-stage development of MASLD. The emerging global prevalence of MASLD highlights the urgent need for pharmaceutical intervention to combat this health threat. However, the identification of novel drugs that could inhibit hepatic DNL is hampered by a lack of reliable, insulin-sensitive, human, in vitro, hepatic models. Here, we report human skin stem cell-derived hepatic cells (hSKP-HPC) as a unique in vitro model to study insulin-driven DNL (iDNL), evidenced by both gene expression and lipid accumulation readouts. Insulin-sensitive hSKP-HPC showed increased sterol regulatory element-binding protein 1c (SREBP-1c) expression, a key transcription factor for DNL. Furthermore, this physiologically relevant in vitro human steatosis model allowed both inhibition and activation of the iDNL pathway using reference inhibitors and activators, respectively. Optimisation of the lipid accumulation assay to a high-throughput, 384-well format enabled the screening of a library of annotated compounds, delivering new insights on key players in the iDNL pathway and MASLD pathophysiology. Together, these results establish the value of the hSKP-HPC model in preclinical development of antisteatotic drugs to combat MASLD.

Abstract P2079: Heart Rate Variability And Chronotropic Incompetence As Prognostic Markers In A Preclinical Model Of HFpEF

The prevalence of heart failure with preserved ejection fraction (HFpEF) in developed countries is increasing alarmingly. This is in part due to an increase in comorbid diseases (obesity, diabetes, hypertension), and risk factors (age, stress, and low physical activity). HFpEF patients often present with chronotropic incompetence (CI) and impaired heart rate variability (HRV), and both CI and decreased HRV are used as prognostic markers of heart disease and sudden cardiac death in clinical studies. In preclinical HFpEF models, however, CI and HRV are not commonly evaluated, and the efficacy of novel compounds is determined primarily through echocardiography results. Thus, there is a need to align efficacy readouts to enhance the translatability of novel compounds from preclinical to clinical stages. Here we sought to determine the utility of CI and HRV in preclinical HFpEF studies in a novel 2-hit HFpEF model; the metabolic syndrome non-alcoholic steatohepatitis mouse with AAV overexpression of renin (MS-NASH+Renin). To collect continuous and conscious electrocardiogram and blood pressure data, C57BL/6 (n=10) and MS-NASH (formerly FATZO, n=32) male mice were implanted with radiotelemeters at 20 weeks and iv injected with either AAV-Vector or AAV-Renin. To assess disease burden, CI and HRV, we acquired and analyzed body weight, electrocardiography, peak VO2, exercise HR, and echocardiography data once a month for 5 months. We found that MS-NASH mice have increased body weight regardless of treatment, and that renin treatment increased blood pressure for both C57BL/6 and MS-NASH mice. Peak VO2, time to exhaustion, distance traveled, and maximum and recovery HR are significantly decreased in MS-NASH mice, indicating CI. HRV is also significantly decreased in MS-NASH mice when compared to C57BL/6. Interestingly, renin treatment did not further decrease treadmill performance or HRV for MS-NASH mice. However, MS-NASH+Renin mice did have decreased functional capacity with preserved ejection fraction and altered heart structure. These results suggest that MS-NASH+Renin is a model for HFpEF, and that CI and HRV are translatable markers for HFpEF. In the future, we will evaluate the use of CI and HRV in preclinical HFpEF drug development studies.

RNA interference: from target validation to therapeutics

Generally, a new targeted medicine takes a long time, usually 5 to 15 years, from the discovery and validation of its target to its actual use in treating a disease. There is no doubt that steps such as target validation and target evaluation are essential in preclinical development of new drugs to ensure safety, bioavailability, and efficacy of the drug, and in the target validation phase, RNA interference (RNAi) is a very important method. RNAi drug has double-stranded RNA function, so the targeted mRNA of a specific gene sequence is degraded, its transcription process is abnormal, which leads to gene silencing, and related protein synthesis failure. RNAi technology could specifically shut off specific genes, and, it is a targeted drug with great potential. Therefore, RNAi technology can be used to treat some rare diseases, such as acute hepatic porphyria (AHP) in adults, by using drugs as carriers. In 1998, Andrew Fire and Craig C. Mello first defined the RNAi phenomenon and was honored with the Nobel Prize in Physiology or Medicine in 2006 for their discovery of RNAi and their outstanding contributions to the field of gene silencing. Since then, RNAi drugs have been studied by pharmaceutical scientists around the world, but many of the previous drugs have been stopped at the evaluation stage due to their chemical instability. Until October 2018, the worlds first RNAi drug (patisiran) was successfully marketed so that the RNAi drug development became popular again because of remarkable pesticide effect.

Development of a buccal in vitro permeation method – exploring aQbD implementation

The buccal mucosa is arising within the pharmaceutical landscape as an attractive option for local and systemic drug delivery, mostly due to its high vascularization, inherent permeability and robustness. Still, one of the major challenges in bringing oromucosal preparations to market remains the accurate evaluation of permeability. During pre-clinical drug development, in vitro permeation assessment is essential, and methodologies, based on the selection of a proper membrane in a diffusion cell, have become appealing alternatives to the conventional cell-based models. The development of such methods is being constrained by the number of variables - related to study conditions, setup and formulation - that need to be optimized to accurately estimate buccal permeation. The gap of knowledge over the mentioned variables may lead to long costly developments and poorly accurate methods, especially if the empirical analytical approach is used.In this paper, a systematic risk-based analytical quality by design approach was applied to the development of a buccal in vitro permeation method, ensuring that all sources of variability affecting permeation process were identified, explained and managed by appropriate measures. Researchers are guided through a step by step model, successfully demonstrating with experimental data the impact of critical variables on method’s performance.

Powerful and Real-Time Quantification of Antifungal Efficacy against Triazole-Resistant and -Susceptible Aspergillus fumigatus Infections in Galleria mellonella by Longitudinal Bioluminescence Imaging.

Aspergillus fumigatus is an environmental mold that causes life-threatening respiratory infections in immunocompromised patients. The plateaued effectiveness of antifungal therapy and the increasing prevalence of triazole-resistant isolates have led to an urgent need to optimize and expand the current treatment options. For the transition of in vitro research to in vivo models in the time- and resource-consuming preclinical drug development pipeline, Galleria mellonella larvae have been introduced as a valuable in vivo screening intermediate. Despite the high potential of this model, the current readouts of fungal infections in G. mellonella are insensitive, irreproducible, or invasive. To optimize this model, we aimed for the longitudinal quantification of the A. fumigatus burden in G. mellonella using noninvasive bioluminescence imaging (BLI). Larvae were infected with A. fumigatus strains expressing a red-shifted firefly luciferase, and the substrate dosage was optimized for the longitudinal visualization of the fungal burden without affecting larval health. The resulting photon flux was successfully validated for fungal quantification against colony forming units (CFU) analyses, which revealed an increased dynamic range from BLI detection. Comparison of BLI to survival rates and health index scores additionally revealed improved sensitivity for the early discrimination of differences in fungal burdens as early as 1 day after infection. This was confirmed by the improved detection of treatment efficacy against triazole-susceptible and -resistant strains. In conclusion, we established a refined G. mellonella aspergillosis model that enables the noninvasive real-time quantification of A. fumigatus by BLI. This model provides a quick and reproducible in vivo system for the evaluation of treatment options and is in line with 3Rs recommendations. IMPORTANCE Triazole-resistant Aspergillus fumigatus strains are rapidly emerging, and resistant infections are difficult to treat, causing mortality rates of up to 88%. The recent WHO priority list underscores A. fumigatus as one of the most critical fungal pathogens for which innovative antifungal treatment should be (urgently) prioritized. Here, we deliver a Galleria mellonella model for triazole-susceptible and -resistant A. fumigatus infections combined with a statistically powerful quantitative, longitudinal readout of the A. fumigatus burden for optimized preclinical antifungal screening. G. mellonella larvae are a convenient invertebrate model for in vivo antifungal screenings, but so far, the model has been limited by variable and insensitive observational readouts. We show that bioluminescence imaging-based fungal burden quantification outperforms these readouts in reliability, sensitivity, and time to the detection of treatment effects in both triazole-susceptible and -resistant infections and can thus lead to better translatability from in vitro antifungal screening results to in vivo confirmation in mouse and human studies.

The Impact of Culture Variables on a 3D Human In Vitro Bone Remodeling Model: A Design of Experiments Approach.

Human in vitro bone remodeling models, using osteoclast-osteoblast cocultures, can facilitate the investigation of human bone remodeling while reducing the need for animal experiments. Although current in vitro osteoclast-osteoblast cocultures have improved the understanding of bone remodeling, it is still unknown which culture conditions support both cell types. Therefore, in vitro bone remodeling models can benefit from a thorough evaluation of the impact of culture variables on bone turnover outcomes, with the aim to reach balanced osteoclast and osteoblast activity, mimicking healthy bone remodeling. Using a resolution III fractional factorial design, the main effects of commonly used culture variables on bone turnover markers in an in vitro human bone remodeling model are identified. This model is able to capture physiological quantitative resorption-formation coupling along all conditions. Culture conditions of two runs show promising results: conditions of one run can be used as a high bone turnover system and conditions of another run as a self-regulating system as the addition of osteoclastic and osteogenic differentiation factors is not required for remodeling. The results generated with this in vitro model allow for better translation between in vitro studies and in vivo studies, toward improved preclinical bone remodeling drug development.

LC-MS/MS Bioanalysis of Radioligand Therapeutic Drug Candidate for Preclinical Toxicokinetic Assessment.

Radioligand therapy (RLT) has gained significant momentum in recent years in the diagnosis, treatment, and monitoring of cancers. In preclinical development, the safety profile of RLT drug candidate(s) is investigated at relatively low dose levels using the cold (non-radioactive, e.g., 175Lu) ligand as a surrogate of the hot (radioactive, e.g., 177Lu) one in the "ligand-linker-chelator" complex. The formulation of the test article used in preclinical safety studies contains a mixture of free ligand (i.e., ligand-linker-chelator without metal) and cold ligand (i.e., ligand-linker-chelator with non-radioactive metal) in a similar molar ratio as seen under the manufacturing conditions for the RLT drug for clinical use, where only a fraction of free ligand molecules chelate the radioactive metal to form a hot ligand. In this very first report of LC-MS/MS bioanalysis of RLT molecules in support of a regulated preclinical safety assessment study, a highly selective and sensitive LC-MS/MS bioanalytical method was developed for the simultaneous determination of free ligand (NVS001) and cold ligand (175Lu-NVS001) in rat and dog plasma. Several unexpected technical challenges in relation to LC-MS/MS of RLT molecules were successfully addressed. The challenges include poor assay sensitivity of the free ligand NVS001, formation of the free ligand (NVS001) with endogenous metal (e.g., potassium), Ga loss from the Ga-chelated internal standard during sample extraction and analysis, "instability" of the analytes at low concentrations, and inconsistent IS response in the extracted plasma samples. The methods were validated according to the current regulatory requirements in a dynamic range of 0.5-250 ng/mL for both the free and cold ligands using a 25 μL sample volume. The validated method was successfully implemented in sample analysis in support of regulated safety studies, with very good results from incurred sample reanalysis. The current LC-MS/MS workflow can be expanded to quantitative analysis of other RLTs in support of preclinical RLT drug development.