Altex-Alternatives To Animal Experimentation最新文献

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.

Antigen identity, quantity and integrity are key factors to be evaluated as part of consistency testing of tetanus vaccines. Here we have developed a monoclonal antibody sandwich ELISA to measure the relative amount and quality of tetanus toxoid (TTxd) in human and animal tetanus vaccines. The ELISA is highly specific, has good dilutional linearity, and is suitable for detecting TTxd in a range of different products. We have demonstrated the ability of the assay to discriminate between batches of different content, using vaccine batches that had been prepared to contain differing amounts of TTxd, and of different quality, using samples of non-adjuvanted TTxd that had been exposed to sonication and final lot vaccines that had been exposed to heat or oxidative stress. We have also demonstrated successful transfer of the method to other laboratories and have shown that different tetanus antigen materials may be able to serve as a reference antigen for standardization of the method. The results show this test has the potential to play a key role in a control strategy no longer including an in vivo potency test.

The validation of new approach methods (NAMs) in toxicology faces significant challenges, including the integration of diverse data, selection of appropriate reference chemicals, and lengthy, resource-intensive consensus processes. This article proposes an artificial intelligence (AI)-based approach, termed e-validation, to optimize and accelerate the NAM validation process. E-vali-dation employs advanced machine learning and simulation techniques to systematically design validation studies, select informative reference chemicals, integrate existing data, and provide tailored training. The approach aims to shorten current decade-long validation timelines, using fewer resources while enhancing rigor. Key components include the smart selection of reference chemicals using clustering algorithms, simulation of validation studies, mechanistic validation powered by AI, and AI-enhanced training for NAM education and implementation. A centralized dashboard interface could integrate these components, streamlining workflows and providing real-time decision support. The potential impacts of e-validation are extensive, promising to accel-erate biomedical research, enhance chemical safety assessment, reduce animal testing, and drive regulatory and commercial innovation. While the integration of AI and machine learning offers sig-nificant advantages, challenges related to data quality, complexity of implementation, scalability, and ethical considerations must be addressed. Real-world validation and pilot studies are crucial to demonstrate the practical benefits and feasibility of e-validation. This transformative approach has the potential to revolutionize toxicological science and regulatory practices, ushering in a new era of predictive, personalized, and preventive health sciences.

Despite the importance of the animal testing issue, there has been little presentation in the scientific literature of the trends in animal use. This is crucial to resolve, particularly if we are to measure the impact of initiatives to reduce and replace animal experiments that were recently announced in Europe and the USA. For the first time, the number of animals used between 2002 and 2022 are presented for the EU, key animal-using countries in Europe (the UK, France and Germany), and North America (the USA and Canada). Animal testing is on a slow decrease in the EU, 11% in the last 20 years, but animal use in the UK, France and Germany is at similar levels as it was in 2002. Notably there has been a decrease in the production of genetically altered animals in the UK and a decrease in regulatory testing in the EU. Animal use in Canada has been steadily growing, and figures for the USA are still incomplete as laboratory-bred rodents and some other species are not counted. However, globally, the use of non-animal methods in biomedical research is increasing exponentially; this accelerated in the mid-2010s. The UK appears to be the leader in this field. The technological, regulatory, political and economic factors that might explain these trends are discussed.

Botulinum neurotoxin type A (BoNT/A) is a biopharmaceutic widely used for the treatment of neu­rological diseases and in aesthetic medicine to achieve months-long paralysis of target muscles and glands. Large numbers of mice are used in the mouse bioassay (MBA) for various botulinum-related applications including batch release potency testing, antitoxin testing, countermeasure development, and basic research. BoNT/A intoxication causes severe suffering to the mice used for testing, and application-specific, non-animal alternatives are urgently needed. Cell-based assays (CBA) need to replicate all the physiological steps of botulinum intoxication, comprising neuronal binding, internali­zation, endosomal escape, and cleavage of synaptosomal-associated protein of 25 kDa (SNAP25). However, the CBA currently in use have limitations. In this study we show that LAN5 cells, a human neuroblastoma-derived cell line, are sensitive to BoNT/A and can be engineered to express a recom­binant NanoLuciferase (NanoLuc)-tagged SNAP25 reporter molecule. On exposure, the reporter molecule is cleaved and releases a NanoLuc-SNAP25 fragment that can be captured on a 96-well plate for quantitative luminometry using a cleavage-specific SNAP25 antibody. We demonstrate, using purified BoNT/A and a commercial BoNT/A product, that the sensitivity of this new cell-based assay is in the fM range, comparable to that of the MBA. The new assay could replace the MBA in research and commercial testing of BoNT/A, benefiting both scientific progress and animal welfare.

Developmental neurotoxicity (DNT) testing has seen enormous progress over the last two decades. Preceding even the publication of the animal-based OECD test guideline for DNT testing in 2007, a series of non-animal technology workshops and conferences that started in 2005 has shaped a community that has delivered a comprehensive battery of in vitro test methods (DNT IVB). Its data interpretation is now covered by a very recent OECD guidance (No. 377). Here, we overview the progress in the field, focusing on the evolution of testing strategies, the role of emerging technol­ogies, and the impact of OECD test guidelines on DNT testing. In particular, this is an example of the targeted development of an animal-free testing approach for one of the most complex hazards of chemicals to human health. These developments started literally from a blank slate, with no proposed alternative methods available. Over two decades, cutting-edge science enabled the design of a testing approach that spares animals and enables throughput to address this challenging hazard. While it is evident that the field needs guidance and regulation, the massive economic impact of decreased human cognitive capacity caused by chemical exposure should be prioritized more highly. Beyond this, the claim to fame of DNT in vitro testing is the enormous scientific progress it has brought for understanding the human brain, its development, and how it can be perturbed.