Reduce Animal Use Research Articles

Are Repeat-Dose Toxicity Studies Informative for Safety Assessment of Vaccine Candidates? A Survey of Vaccine Developers.

A BioSafe-sponsored survey investigated how vaccine companies (n = 12) perceive the value of the repeat-dose toxicity studies for safety assessment of vaccine candidates. As all major vaccine developers were part of the survey, it was considered representative for the industry practices up to 2022. Vaccine developers indicated that they see scientific value in performing repeat-dose toxicity studies with vaccines, especially when novel components (e.g., adjuvant) or technology is being used. However, a few (3/12) also indicated that repeat-dose toxicity studies could be replaced by a pharmacology study with additional toxicity parameters. For the majority of companies (9/12), findings from the repeat-dose toxicity studies never prevented or postponed a first-in-human (FIH) trial. In the remaining 3 companies, a total of 4 occurrences of postponement or prevention of clinical development occurred and in only 2 of these cases was the finding considered related to the vaccine. A platform approach has been successfully implemented for influenza vaccines already in 2016, and an outline of the regulatory requirements for a platform approach has been recently documented in the latest infectious disease mRNA-LNP vaccine guideline, as well as in the guidance on the development and licensure of COVID-19 vaccines presented by the FDA. Vaccine developers are seeking to extend this platform approach to the development of new vaccines, building on established technologies and using well-defined manufacturing processes. This approach could support reduction of animal use (a principle of 3Rs) while still providing reassurance of the nonclinical safety of these products.

An industry perspective on the FDA modernization act 2.0/3.0: Potential next steps for sponsors to reduce animal use in drug development

Abstract Pharmaceutical developers are encouraged to adopt the best practices of being purposefully thoughtful about the use of animals, seeking alternatives wherever possible. They should engage with health authorities to increase their familiarity with the methods, study designs, data outputs and the context of use for new approach methodologies (NAMs). Although current state of technology does not yet provide adequate models to fully replace in vivo studies, many models are sufficiently good for an augmented approach that will enhance our understanding of in vitro to in vivo correlations and advance the long-term goal of reducing animal use through innovative NAMs. The goal of future nonclinical safety packages is to advance the utilization of such enabling technologies towards appropriate human risk characterization. Establishing confidence in NAMs is a critical first step. For example, sponsors may include both “traditional” and NAM-based nonclinical safety data in regulatory submissions to establish confidence with health authorities. In addition, regulators should create a “safe-harbor” for hybrid nonclinical data packages to facilitate iterative learning, refinement, and implementation of NAM-based safety assessment strategies. Sponsors are urged to contribute to NAMs evolution through consortia participation, peer-reviewed publications, and documenting animal reduction in studies/programs, accelerating the eventual elimination of animal use in pharmaceutical development, as envisioned in the FDA Modernization Act 3.0.

New approach methodologies to confirm developmental toxicity of pharmaceuticals based on weight of evidence

The aim of embryo-fetal developmental toxicity assessments for pharmaceuticals is to inform potential risk of adverse pregnancy outcome, which has traditionally relied on studies in pregnant animals. Recent updates to international safety guidelines (ICH S5R3) have incorporated information on how to use weight of evidence and alternative assays to reduce animal use while still informing risk of fetal harm. Uptake of these alternative approaches has been slow due to limitations in understanding how alternative assays translate to in vivo effects and then relevance to human exposure. To understand the predictivity of new approach methodologies for developmental toxicity (DevTox NAMs), we used two pharmaceutical examples (glasdegib and lorlatinib) to illustrate the value of DevTox NAMs to complement weight of evidence (WoE) assessments while considering the relationship of concentration-effect levels in NAMs to in vivo studies. The in vitro results generated in a battery of assays (mEST, rWEC, zebrafish, and human based stem cells) confirmed the WoE based on literature and further confirmed by preliminary embryo-fetal development data. The data generated for these two compounds supports integrating DevTox NAMs into the developmental toxicity assessment for advanced cancer indications.

Laboratory Management of Mammalian Hosts for Ixodes scapularis -Host-Pathogen Interaction Studies.

Due to their hematophagous life cycle, hard-bodied ticks including the genus Ixodes are a potential vector for numerous pathogenic organisms including bacteria, protozoa, viruses, and infectious prions. The natural geographic range of several hard tick species, includig Ixodes scapularis, has expanded over recent decades. Consequently, there is an ongoing need to maintain, feed, and propagate ticks for host-pathogen interaction studies to better understand and mitigate their impact on human and animal health. Artificial membrane feeding of hard ticks has advanced in recent years, has study design advantages, and should be used, when possible, to reduce animal use, but it also has several limitations that require the continued use of mammalian hosts including mice, guinea pigs, and rabbits. In this overview, we discuss the best management practices for these relevant species with respect to biosafety, health, and optimal host comfort when used in studies that depend on tick feeding. The capsule-jacket method is preferred over the ear sock-E-collar method of tick feeding on rabbit hosts because of better host health, comfort, and increased study versatility.

Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges.

Animal experimentation has long been a cornerstone of neurology research, but it faces growing scientific, ethical, and economic challenges. Advances in artificial intelligence (AI) are providing new opportunities to replace animal testing with more human-relevant and efficient methods. This article explores the potential of AI technologies such as brain organoids, computational models, and machine learning to revolutionize neurology research and reduce reliance on animal models. These approaches can better recapitulate human brain physiology, predict drug responses, and uncover novel insights into neurological disorders. They also offer faster, cheaper, and more ethical alternatives to animal experiments. Case studies demonstrate AI's ability to accelerate drug discovery for Alzheimer's, predict neurotoxicity, personalize treatments for Parkinson's, and restore movement in paralysis. While challenges remain in validating and integrating these technologies, the scientific, economic, practical, and moral advantages are driving a paradigm shift towards AI-based, animal-free research in neurology. With continued investment and collaboration across sectors, AI promises to accelerate the development of safer and more effective therapies for neurological conditions while significantly reducing animal use. The path forward requires the ongoing development and validation of these technologies, but a future in which they largely replace animal experiments in neurology appears increasingly likely. This transition heralds a new era of more humane, human-relevant, and innovative brain research.

Skin swabbing protocol to collect DNA samples from small-bodied fish species

Fish species are commonly used as experimental models in the laboratory. DNA is routinely collected from these animals to permit identification of their genotype. The current standard procedure to sample DNA is fin clipping, which involves anaesthetising individuals and removing a portion of the caudal fin. While fin clipping reliably generates good quality DNA samples for downstream applications, there is evidence that it can alter health and welfare, and impact the fish’s behaviour. This in turn can result in greater variation in the data collected. In a recent study we adapted a skin swabbing protocol to collect DNA from small-bodied fish, including sticklebacks and zebrafish, without the use of analgesics, anaesthetics or sharp instruments. A rayon-tipped swab was used to collect mucus from the flank of the fish, which was then used for DNA extraction. We subsequently demonstrated that compared to fin clipping, skin swabbing triggered fewer changes in stress axis activation and behaviour. We also found that gene expression and behaviour data collected from swabbed fish were less variable than similar data collected from fish that had been fin clipped. This potentially allows smaller sample sizes in experimental groups to be used after skin swabbing, thereby reducing animal use. Here we provide a detailed protocol explaining how to collect DNA samples from small laboratory fish using skin swabs.

Feasibility of Using a Type I IFN-Based Non-Animal Approach to Predict Vaccine Efficacy and Safety Profiles.

Animal-based tests are used for the control of vaccine quality. However, because highly purified and safe vaccines are now available, alternative approaches that can replace or reduce animal use for the assessment of vaccine outcomes must be established. In vitro tests for vaccine quality control exist and have already been implemented. However, these tests are specifically designed for some next-generation vaccines, and this makes them not readily available for testing other vaccines. Therefore, universal non-animal tests are still needed. Specific signatures of the innate immune response could represent a promising approach to predict the outcome of vaccines by non-animal methods. Type I interferons (IFNs) have multiple immunomodulatory activities, which are exerted through effectors called interferon stimulated genes (ISGs), and are one of the most important immune signatures that might provide potential candidate molecular biomarkers for this purpose. This paper will mainly examine if this idea might be feasible by analyzing all relevant published studies that have provided type I IFN-related biomarkers for evaluating the safety and efficacy profiles of vaccines using an advanced transcriptomic approach as an alternative to the animal methods. Results revealed that such an approach could potentially provide biomarkers predictive of vaccine outcomes after addressing some limitations.

Xenografted Tumors Share Comparable Fraction Unbound and Can Be Surrogated by Mouse Lung Tissue.

Free (unbound) drug concentration at the site of action is the key determinant of biologic activity since only unbound drugs can exert pharmacological and toxicological effects. Unbound drug concentration in tumors for solid cancers is needed to understand/explain/predict pharmacokinetics, pharmacodynamics, and efficacy relations. Fraction unbound (fu ) in tumors is usually determined across several xenografted tumors derived from various cell lines in the drug discovery stage, which is time consuming and a resource burden. In this study, we determined the fu values for a set of diverse compounds (comprising acid, base, neutral, zwitterion, and covalent drugs) across five different xenografted tumors and five commercially available mouse tissues to explore the correlation of fu between tumors and the possibility of surrogate tissue(s) for tumor fu (fu,tumor) determination. The crosstumor comparison showed that fu,tumor values across tumors are largely comparable, and systematic tissue versus tumor comparison demonstrated that only lung tissue had comparable fu to all five tumors (fu values within twofold change for >80% compounds in both comparisons). These results indicated that mouse lung tissue can be used as a surrogate matrix for a fu,tumor assay. This study will increase efficiency in fu,tumor assessment and reduce animal use (adapting the replace, reduce, and refine principle) in drug discovery. SIGNIFICANCE STATEMENT: The free drug concept is a well accepted principle in drug discovery research. Currently, tumor fraction unbound (fu,tumor) is determined in several tumors derived from different cell lines to estimate free drug concentrations of a compound. The results from this study indicated that fu,tumor across xenografted tumors is comparable, and fu,tumor can be estimated using a surrogate tissue, mouse lung. The results will increase efficiency in fu,tumor assessment and reduce animal use in drug discovery.

A Comparison of In Vitro Metabolic Clearance of Various Regulatory Fish Species Using Hepatic S9 Fractions.

Bioaccumulation predictions can be substantially improved by combining in vitro metabolic rate measurements derived from rainbow trout hepatocytes and/or hepatic S9 fractions with quantitative structure-activity relationship (QSAR) modeling approaches. Compared with in vivo testing guidelines Organisation for Economic Co-operation and Development (OECD) 305 and Office of Chemical Safety and Pollution Prevention (OCSPP; an office of the US Environmental Protection Agency) 850.1730, the recently adopted OECD test guidelines 319A and 319B are in vitro approaches that have the potential to provide a time- and cost-efficient, humane solution, reducing animal use while addressing uncertainties in bioaccumulation across species. The present study compares the hepatic clearance of the S9 subcellular fraction of rainbow trout, bluegill, common carp, fathead minnow, and largemouth bass, discerning potential differences in metabolism between different warm- and cold-water species. With refinements to the in vitro metabolic S9 assay for high-throughput analysis, we measured in vitro clearance rates of seven chemicals crossing multiple classes of chemistry and modes of action. We confirmed that data from rainbow trout liver S9 fraction metabolic rates can be utilized to predict rainbow trout bioconcentration factors using an in vitro to in vivo extrapolation model, as intended in the OECD 319B applicability domain per the bioaccumulation prediction. Also, we determined that OECD 319B can be applied to other species, modified according to their habitat, adaptations to feeding behavior, and environmental conditions (e.g., temperature). Once toxicokinetics for each species is better understood and appropriate models are developed, this method can be an excellent tool to determine hepatic clearance and potential bioaccumulation across species. The present study could be leveraged prior to or in place of initiating in vivo bioconcentration studies, thus optimizing selection of appropriate fish species. Environ Toxicol Chem 2024;43:1390-1405. © 2024 SETAC.

Evaluation of in silico model predictions for mammalian acute oral toxicity and regulatory application in pesticide hazard and risk assessment

The United States Environmental Protection Agency (USEPA) uses the lethal dose 50% (LD50) value from in vivo rat acute oral toxicity studies for pesticide product label precautionary statements and environmental risk assessment (RA). The Collaborative Acute Toxicity Modeling Suite (CATMoS) is a quantitative structure-activity relationship (QSAR)-based in silico approach to predict rat acute oral toxicity that has the potential to reduce animal use when registering a new pesticide technical grade active ingredient (TGAI). This analysis compared LD50 values predicted by CATMoS to empirical values from in vivo studies for the TGAIs of 177 conventional pesticides. The accuracy and reliability of the model predictions were assessed relative to the empirical data in terms of USEPA acute oral toxicity categories and discrete LD50 values for each chemical. CATMoS was most reliable at placing pesticide TGAIs in acute toxicity categories III (>500–5000 mg/kg) and IV (>5000 mg/kg), with 88% categorical concordance for 165 chemicals with empirical in vivo LD50 values ≥ 500 mg/kg. When considering an LD50 for RA, CATMoS predictions of 2000 mg/kg and higher were found to agree with empirical values from limit tests (i.e., single, high-dose tests) or definitive results over 2000 mg/kg with few exceptions.

Mitigating animal methods bias to reduce animal use and improve biomedical translation.

Nonanimal biomedical research methods have advanced rapidly over the last decade making them the first-choice model for many researchers due to improved translatability and avoidance of ethical concerns. Yet confidence in novel nonanimal methods is still being established and they remain a small portion of nonclinical biomedical research, which can lead peer reviewers to evaluate animal-free studies or grant proposals in a biased manner. This "animal methods bias" is the preference for animal-based research methods where they are not necessary or where nonanimal-based methods are suitable. It affects the fair consideration of animal-free biomedical research, hampering the uptake and dissemination of these approaches by putting pressure on researchers to conduct animal experiments and potentially perpetuating the use of poorly translatable model systems. An international team of researchers and advocates called the Coalition to Illuminate and Address Animal Methods Bias (COLAAB) aims to provide concrete evidence of the existence and consequences of this bias and to develop and implement solutions towards overcoming it. The COLAAB recently developed the first of several mitigation tools: the Author Guide for Addressing Animal Methods Bias in Publishing, which is described herein along with broader implications and future directions of this work.

Abstract 6764: Vascularized tumor-on-chip model for evaluating chemotherapeutic-mediated damage to adjacent healthy tissue

Abstract Introduction: Systemic chemotherapy is an effective anticancer treatment for all stages of breast cancer, with intravenous (IV) infusion being the principal method of administration. In addition to targeting cancer, systemic chemotherapy can impact the viability and function of surrounding normal tissues and vasculature. Early-discovery research tools comparing novel and existing systemic treatment strategies are urgently needed to support predictive efficacy and toxicity efforts. Microfluidic systems have the potential to fill this need while simultaneously reducing animal use. The overall goal of the study is to use an advanced microfluidic tumor-on-chip system to simultaneously evaluate the therapeutic and toxic effects of IV chemotherapy on normal and cancerous tissues. Materials and Methods: Synthetic Tumor Networks, which are comprised of primary and secondary tissue sites separated by an interconnected vasculature, were developed using in vivo images and fabricated using soft lithography. Primary vascular endothelial cells were used to establish microvasculature. A normal breast cell line (MCF 10A), or a GFP-labeled metastatic human breast cancer cell line (MDA-MB-231/GFP), were cultured in the tissue sites in a three-dimensional (3D) environment using a human-derived hydrogel. The vascular networks were perfused with endothelial cell media under physiological fluid flow conditions to establish the model. An EZH2 methyltransferase inhibitor (EZH2 inhibitor III) was delivered by IV infusion to the model tissues. Real-time monitoring of cellular growth, tumor invasion and extravasation, and cellular viability were performed using fluorescence microscopy over a two-week period. Results and Discussion: Metastatic MDA-MB-231/GFP breast cancer cells proliferated rapidly in the primary tumor site. Tumor intravasation into the vascular channels was observed in models that received no anticancer treatment, as well as extravasation into the secondary tissue site and invasion of the healthy breast tissue. Differences in tumor viability and migratory behavior were observed between untreated models or models receiving IV infusions of the EZH2 inhibitor through the vascular networks. Vascular barrier integrity and normal breast tissue viability were monitored at early (24-72 hr) and late (7-14 days) timepoints after anticancer treatment to measure short- and long-term adverse drug impacts. These results provide a unique perspective on the in vivo realism of an in vitro system for monitoring both therapeutic and toxic effects of systemic chemotherapies. Conclusions: We have developed a 3D vascularized tumor-on-chip model for monitoring the impacts of systemic chemotherapeutic agents on tumor and healthy tissues. This model can be used to investigate therapeutic and toxic effects on multiple tissue types simultaneously using real-time imaging techniques. Citation Format: Deborah Ramsey, Jenna Rosano, Cristabel Gordon, Gwen Fewell. Vascularized tumor-on-chip model for evaluating chemotherapeutic-mediated damage to adjacent healthy tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6764.

Novel and easy curriculum with simulated models for microsurgery for plastic surgery residents: reducing animal use

Novel and easy curriculum with simulated models for microsurgery for plastic surgery residents: reducing animal use

Application of microphysiological systems for nonclinical evaluation of cell therapies

Microphysiological systems (MPS) are gaining broader application in the pharmaceutical industry but have primarily been leveraged in early discovery toxicology and pharmacology studies with small molecules. The adoption of MPS offers a promising avenue to reduce animal use, improve in-vitro-to-in-vivo translation of pharmacokinetics/pharmacodynamics and toxicity correlation, and provide mechanistic understanding of model species suitability. While MPS have demonstrated utility in these areas with small molecules and biologics, MPS models in cell therapy development have not been fully explored, let alone validated. Distinguishing features of MPS, including long-term viability and physiologically relevant expression of functional enzymes, receptors, and pharmacological targets make them attractive tools for nonclinical characterization. However, there is currently limited published evidence of MPS being utilized to study the disposition, metabolism, pharmacology, and toxicity profiles of cell therapies. This review provides an industry perspective on the nonclinical application of MPS on cell therapies, first with a focus on oncology applications followed by examples in regenerative medicine.

A proof-of-concept rat toxicity study highlights the potential utility and challenges of virtual control groups.

The virtual control group (VCG) concept provides a potential opportunity to reduce animal use in drug development by replacing concurrent control groups (CCGs) in nonclinical toxicity studies. This work investigated the feasibility and reliability of using VCGs in place of CCGs. A historical control database (HCD), constructed from Genentech Inc. rat toxicity study data, was reviewed to under­stand trends and sources of variability in control animals over time, and to identify data curation requirements for assembling VCGs, e.g., alignment of units of measurement. Several endpoints were investigated and stratified against different study design parameters. Sex, route of administration, fasting status, and body weight at study initiation were among the parameters that were indicated as key matching criteria. With a high-level understanding of potential sources of variability, a retro­spective proof-of-concept (POC) study was designed, evaluating a historical rat pilot toxicity study for test article-related changes. A masked interpretation of the study was conducted using its CCG and two unique VCGs that were constructed from individual animal data pulled from our HCD. While the results of the microscopic pathology assessment and most endpoints were similar across the different control groups, the POC revealed the risk of using VCGs to interpret subtle test article-related changes in clinical pathology parameters. Within the context of our POC, it appears the use of a VCG is not completely equivalent to the CCG, especially with clinical pathology parameters. Additional work is needed to understand the potential utility, and thus, viability of VCGs in other contexts.

Drug testing of monodisperse arrays of live microdissected tumors using a valved multiwell microfluidic platform.

Cancer drug testing in animals is an extremely poor predictor of the drug's safety and efficacy observed in humans. Hence there is a pressing need for functional testing platforms that better predict traditional and immunotherapy responses in human, live tumor tissue or tissue constructs, and at the same time are compatible with the use of mouse tumor tissue to facilitate building more accurate disease models. Since many cancer drug actions rely on mechanisms that depend on the tumor microenvironment (TME), such platforms should also retain as much of the native TME as possible. Additionally, platforms based on miniaturization technologies are desirable to reduce animal use and sensitivity to human tissue scarcity. Present high-throughput testing platforms that have some of these features, e.g. based on patient-derived tumor organoids, require a growth step that alters the TME. On the other hand, microdissected tumors (μDTs) or "spheroids" that retain an intact TME have shown promising responses to immunomodulators acting on native immune cells. However, difficult tissue handling after microdissection has reduced the throughput of drug testing on μDTs, thereby constraining the inherent advantages of producing numerous TME-preserving units of tissue for drug testing. Here we demonstrate a microfluidic 96-well platform designed for drug treatment of hundreds of similarly-sized, cuboidal μDTs ("cuboids") produced from a single tumor sample. The platform organizes a monodisperse array of four cuboids per well in 384 hydrodynamic traps. The microfluidic device, entirely fabricated in thermoplastics, features 96 microvalves that fluidically isolate each well after the cuboid loading step for straightforward multi-drug testing. Since our platform makes the most of scarce tumor tissue, it can potentially be applied to human biopsies that preserve the human TME while minimizing animal testing.

A4Development and evaluation of a chest cavity simulation model for teaching surgical chest drain insertion

Surgical chest drain insertion is indicated in pneumothorax or haemothorax secondary to thoracic trauma. It is a mandatory emergency procedure that is incorporated as a part of the core medical training curriculum [1]. However, sparse training opportunities result in low clinician competency and increased risk of complications. While simulation training can offer a solution, the affordability of commercial models and hygiene and ethical implications of animal carcasses are significant limiting factors. The aim of this project is to build a reusable, high-fidelity, low-cost human chest cavity model excluding animal use for simulation-based teaching of surgical chest drain insertion. To construct the model, plaster gauze, metal wires and u-channel rubber trims were used to build a ribcage. Soy-protein-based sausage casing was used to create the pleural layers, and the muscles and subcutaneous fat were represented with ADAMgel (Aqueous Dietary fibre Antifreeze Mix gel), a novel material with tactility and dissection sensation similar to human soft tissue [2]. Synthetic chamois leather was used to represent skin. The resulting model allowed locating the safe triangle using anatomical landmarks, blunt dissection of muscles, pleural puncturing and advancement and suturing of the chest tube. The model cost less than £130, and it could be repaired after over 20 uses with less than £15. Verbal consent on study participation was obtained from all participants who performed chest drain insertion on the model and evaluated its fidelity and educational value using an anonymized Likert scale questionnaire. All questionnaire responses were converted to numerical values for data quantification, as shown in Median and range of questionnaire responses collected from study participants Sixteen senior clinicians with multiple experience on chest drain insertion and 11 junior clinicians with limited experience took part in the study. Anatomical and haptic fidelity of the model was evaluated very highly amongst experienced clinicians. Junior doctors stated increased confidence in performing the procedure, overall assessing the model as an appropriate learning tool. Twenty participants with previous training experience compared the quality of this model to other commercial or animal-based models, and 18 rated this model to be of the same or superior quality. This chest cavity model is suitable for simulation training of chest drain insertion. Importantly, the model excluded the use of animals under the principle of replacing, refining and reducing animal use in research [3]. Further training opportunities that utilize this model can increase clinician competence in the procedure, which can improve clinical practice and reduce patient mortality. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.

CSL-Tox: an open-source analytical framework for the comparison of short-term and long-term toxicity end points and assessing the need of chronic studies in drug development

In-vivo toxicity assessment is an important step prior to clinical development and is still the main source of data for overall risk assessment of a new molecular entity (NCE). All in-vivo studies are performed according to regulatory requirements and many efforts have been exerted to minimize these studies in accordance with the (Replacement, Reduction and Refinement) 3Rs principle. Many aspects of in-vivo toxicology packages can be optimized to reduce animal use, including the number of studies performed as well as study durations, which is the main focus of this analysis. We performed a statistical comparison of adverse findings observed in 116 short-term versus 78 long-term in-house or in-house sponsored Contract Research Organizations (CRO) studies, in order to explore the possibility of using only short-term studies as a prediction tool for the longer-term effects. All the data analyzed in this study was manually extracted from the toxicology reports (in PDF formats) to construct the dataset. Annotation of treatment related findings was one of the challenges faced during this work. A specific focus was therefore put on the summary and conclusion sections of the reports since they contain expert assessments on whether the findings were considered adverse or were attributed to other reasons. Our analysis showed a general good concordance between short-term and long-term toxicity findings for large molecules and the majority of small molecules. Less concordance was seen for certain body organs, which can be named as “target organ systems’ findings”. While this work supports the minimization of long-term studies, a larger-scale effort would be needed to provide more evidence. We therefore present the steps performed in this study as an open-source R workflow for the Comparison of Short-term and Long-term Toxicity studies (CSL-Tox). The dataset used in the work is provided to allow researchers to reproduce such analysis, re-evaluate the statistical tools used and promote large-scale application of this study. Important aspects of animal research reproducibility are highlighted in this work, specifically, the necessity of a reproducible adverse effects reporting system and utilization of the controlled terminologies in-vivo toxicology reports and finally the importance of open-source analytical workflows that can be assessed by other scientists in the field of preclinical toxicology.

Refining Stereotaxic Neurosurgery Techniques and Welfare Assessment for Long-Term Intracerebroventricular Device Implantation in Rodents.

Stereotaxic surgeries enable precise access to specific brain regions, being of particular interest for chronic intracerebroventricular drug delivery. However, the challenge of long-term studies at this level is to allow the implantation of drug storage devices and their correct intrathecal connection while guaranteeing animal welfare during the entire study period. In this study, we propose an optimized method for safe intrathecal device implantation, focusing on preoperative, intraoperative, and postoperative procedures, following the 3Rs principle and animal welfare regulations. Our optimized protocol introduces three main refinements. Firstly, we modify the dimensions of the implantable devices, notably diminishing the device-to-mouse weight ratio. Secondly, we use a combination of cyanoacrylate tissue adhesive and UV light-curing resin, which decreases surgery time, improves healing, and notably minimizes cannula detachment or adverse effects. Thirdly, we develop a customized welfare assessment scoresheet to accurately monitor animal well-being during long-term implantations. Taken together, these refinements positively impacted animal welfare by minimizing the negative effects on body weight, surgery-related complications, and anxiety-like behaviors. Overall, the proposed refinements have the potential to reduce animal use, enhance experimental data quality, and improve reproducibility. Additionally, these improvements can be extended to other neurosurgical techniques, thereby advancing neuroscience research, and benefiting the scientific community.

Potential of in vivo stress reporter models to reduce animal use and provide mechanistic insights in toxicity studies

Chemical risk assessment ensures protection from the toxic effects of drugs and manmade chemicals. To comply with regulatory guidance, studies in complex organisms are required, as well as mechanistic studies to establish the relevance of any toxicities observed to man. Although in vitro toxicity models are improving, in vivo studies remain central to this process. Such studies are invariably time-consuming and often involve large numbers of animals. New regulatory frameworks recommend the implementation of “smart” in vivo approaches to toxicity testing that can effectively assess safety for humans and comply with societal expectations for reduction in animal use. A major obstacle in reducing the animals required is the time-consuming and complexity of the pathological endpoints used as markers of toxicity. Such endpoints are prone to inter-animal variability, subjectivity and require harmonisation between testing sites. As a consequence, large numbers of animals per experimental group are required. To address this issue, we propose the implementation of sophisticated stress response reporter mice that we have developed. These reporter models provide early biomarkers of toxic potential in a highly reproducible manner at single-cell resolution, which can also be measured non-invasively and have been extensively validated in academic research as early biomarkers of stress responses for a wide range of chemicals at human-relevant exposures. In this report, we describe a new and previously generated models in our lab, provide the methodology required for their use and discuss how they have been used to inform on toxic risk (likelihood of chemical causing an adverse health effect). We propose our in vivo approach is more informative (refinement) and reduces the animal use (reduction) compared to traditional toxicity testing. These models could be incorporated into tiered toxicity testing and used in combination with in vitro assays to generate quantitative adverse outcome pathways and inform on toxic potential.