Atla-Alternatives To Laboratory Animals最新文献

Animal experimentation has been integral to drug discovery and development and safety assessment for many years, since it provides insights into the mechanisms of drug efficacy and toxicity (e.g. pharmacology, pharmacokinetics and pharmacodynamics). However, due to species differences in physiology, metabolism and sensitivity to drugs, the animal models can often fail to replicate the effects of drugs and chemicals in human patients, workers and consumers. Researchers across the globe are increasingly applying the Three Rs principles by employing innovative methods in research and testing. The Three Rs concept focuses on: the replacement of animal models (e.g. with in vitro and in silico models or human studies), on the reduction of the number of animals required to achieve research objectives, and on the refinement of existing experimental practices (e.g. eliminating distress and enhancing animal wellbeing). For the last two years, Oncoseek Bio-Acasta Health, a 3-D cell culture-based cutting-edge translational biotechnology company, has organised an annual International Conference on 3Rs Research and Progress. This series of global conferences aims to bring together researchers with diverse expertise and interests, and provides a platform where they can share and discuss their research to promote practices according to the Three Rs principles. In November 2022, the 3rd international conference, Advances in Animal Models and Cutting-Edge Research in Alternatives, took place at the GITAM University in Vishakhapatnam (AP, India) in a hybrid format (i.e. online and in-person). These conference proceedings provide details of the presentations, which were categorised under five different topic sessions. It also describes a special interactive session on in silico strategies for preclinical research in oncology, which was held at the end of the first day.

The significance of angiogenesis in tumour progression has been widely documented. Hence, the identification of anti-angiogenic agents with fewer common side effects would be valuable in cancer therapy. In this study, we evaluated the anti-angiogenic and anti-proliferative effects of a hydro-alcoholic extract of fenugreek seed (HAEF) on human umbilical vein endothelial cells (HUVECs). Human umbilical vein endothelial cells were treated with various concentrations of HAEF and the half-maximal inhibitory concentration (IC₅₀) value was estimated by using the MTT assay. Vascular endothelial growth factor (VEGF), basic fibroblast growth factor (bFGF) and matrix metalloproteinase enzyme (MMP-2 and MMP-9) gene expression profiles were evaluated by using quantitative RT-PCR (qRT-PCR). Moreover, MMP activities and PI3K, Akt and cyclin D1 protein expression levels were evaluated by gel zymography and Western blotting, respectively. HAEF reduced HUVEC viability, with an IC₅₀ value of 200 μg/ml. The qRT-PCR results demonstrated that treatment with HAEF markedly reduced MMP-2/MMP-9, VEGF and bFGF gene expression, as compared to the control group. We also found that MMP-2/MMP-9 enzyme activity and PI3K/Akt/cyclin D1 protein expression were notably decreased in cells treated with HAEF. Our results suggest that HAEF can potentially inhibit angiogenesis, and also affect cellular proliferation by targeting the PI3K/Akt/cyclin D1 pathway. Thus, fenugreek seed extract merits further investigation as a source of compounds with anti-cancer properties.

An in silico method has been developed that permits the binary differentiation between pure liquids causing serious eye damage or eye irritation, and pure liquids with no need for such classification, according to the UN GHS system. The method is based on the finding that the Hansen Solubility Parameters (HSP) of a liquid are collectively important predictors for eye irritation. Thus, by applying a two-tier approach in which in silico-predicted pKa values (firstly) and a trained model based solely on in silico-predicted HSP data (secondly) were used, we have developed, and validated, a fully in silico approach for predicting the outcome of a Draize test (in terms of UN GHS Cat. 1/Cat. 2A/Cat. 2B or UN GHS No Cat.) with high validation set performance (sensitivity = 0.846, specificity = 0.818, balanced accuracy = 0.832) using SMILES only. The method is applicable to pure non-ionic liquids with molecular weight below 500 g/mol, fewer than six hydrogen bond donors (e.g. nitrogen-hydrogen or oxygen-hydrogen bonds) and fewer than eleven hydrogen bond acceptors (e.g. nitrogen or oxygen atoms). Due to its fully in silico characteristics, this method can be applied to pure liquids that are still at the desktop design stage and not yet in production.

The SARS-CoV-2 outbreak focused global attention on the shortcomings of the drug discovery process. It led to its acceleration in several areas, particularly in the processes associated with the development and approval of COVID-19 vaccines. This situation contrasts with the low approval rates of new drugs for respiratory system diseases (e.g. asthma, chronic obstructive pulmonary disease, cancer, tuberculosis), which are leading causes of morbidity and mortality worldwide. In this context, innovation in respiratory system drug discovery is surely needed, and it is most likely to succeed through the use of preclinical models that are cost-effective, high-throughput and generate predictive human-relevant outcomes. Here, we highlight several non-animal new approach methodologies (NAMs) and their applications in respiratory research. We describe their potential uses for efficacy and toxicity assessments, to optimise the drug development process and reduce the high failure rates in clinical trials.