{"title":"Revisited guidelines for metabolic tolerance tests in mice","authors":"Cedric Moro, Christophe Magnan","doi":"10.1038/s41684-024-01473-5","DOIUrl":null,"url":null,"abstract":"Preclinical mouse models are extensively used in biomedical research to gain insight into disease mechanisms and to test new drug treatments. Glucose and insulin tolerance tests are simple experimental tests frequently used worldwide to assess glucose metabolism in mice. Various guidelines and methodological considerations have been published to help researchers standardize procedures and optimize research outcomes. Yet, there is still important experimental heterogeneity in the way these simple procedures are performed, with no real consensus on what the best practices are to achieve high-quality research and reproducible results. Here we critically examine several published guidelines and recent technical reports on how to perform these metabolic tests in laboratory mice and discuss the influence of various confounding factors on test results. We hope this work will help scientists establish more consensual guidelines for maximizing the relevance and clinical translation of studies using mouse models in metabolic research. In this Review, the authors examine current guidelines for metabolic tolerance tests in mice and provide a set of revisited recommendations to improve the reproducibility and clinical translation of the findings.","PeriodicalId":17936,"journal":{"name":"Lab Animal","volume":"54 1","pages":"16-23"},"PeriodicalIF":5.9000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41684-024-01473-5.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lab Animal","FirstCategoryId":"97","ListUrlMain":"https://www.nature.com/articles/s41684-024-01473-5","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Preclinical mouse models are extensively used in biomedical research to gain insight into disease mechanisms and to test new drug treatments. Glucose and insulin tolerance tests are simple experimental tests frequently used worldwide to assess glucose metabolism in mice. Various guidelines and methodological considerations have been published to help researchers standardize procedures and optimize research outcomes. Yet, there is still important experimental heterogeneity in the way these simple procedures are performed, with no real consensus on what the best practices are to achieve high-quality research and reproducible results. Here we critically examine several published guidelines and recent technical reports on how to perform these metabolic tests in laboratory mice and discuss the influence of various confounding factors on test results. We hope this work will help scientists establish more consensual guidelines for maximizing the relevance and clinical translation of studies using mouse models in metabolic research. In this Review, the authors examine current guidelines for metabolic tolerance tests in mice and provide a set of revisited recommendations to improve the reproducibility and clinical translation of the findings.
期刊介绍:
LabAnimal is a Nature Research journal dedicated to in vivo science and technology that improves our basic understanding and use of model organisms of human health and disease. In addition to basic research, methods and technologies, LabAnimal also covers important news, business and regulatory matters that impact the development and application of model organisms for preclinical research.
LabAnimal's focus is on innovative in vivo methods, research and technology covering a wide range of model organisms. Our broad scope ensures that the work we publish reaches the widest possible audience. LabAnimal provides a rigorous and fair peer review of manuscripts, high standards for copyediting and production, and efficient publication.