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    Measuring endogenous corticosterone in laboratory mice:
    a mapping review, meta-analysis, and open source database (2021)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    van der Mierden, Stevie
    Leenaars, Cathalijn H. C.
    Boyle, Erin C.
    Ripoli, Florenza L.
    Gass, Peter
    Durst, Mattea
    Goerlich-Jansson, Vivian C.
    Jirkof, Paulin
    Keubler, Lydia M.
    Talbot, Steven R.
    Habedank, Anne
    Lewejohann, Lars (WE 11)
    Tolba, Rene H.
    Bleich, André
    Quelle
    Alternativen zu Tierexperimenten / Alternatives to animal experimentation
    Bandzählung: 38
    Heftzählung: 1
    Seiten: 111 – 122
    ISSN: 1868-596x
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://www.altex.org/index.php/altex/article/view/1779
    DOI: 10.14573/altex.2004221
    Pubmed: 33086382
    Kontakt
    Institut für Tierschutz, Tierverhalten und Versuchstierkunde

    Königsweg 67
    14163 Berlin
    +49 30 838 61146
    tierschutz@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Evaluating stress in laboratory animals is a key principle in animal welfare. Measuring corticosterone is a common method to assess stress in laboratory mice. There are, however, numerous methods to measure glucocorticoids with differences in sample matrix (e.g., plasma, urine) and quantification techniques (e.g., enzyme immunoassay or radioimmunoassay). Here, the authors present a mapping review and a searchable database, giving a complete overview of all studies mea­suring endogenous corticosterone in mice up to February 2018. For each study, information was recorded regarding mouse strain and sex; corticosterone sample matrix and quantification technique; and whether the study covered the research theme animal welfare, neuroscience, stress, inflammation, or pain (the themes of specific interest in our con­sortium). Using all database entries for the year 2012, an exploratory meta-regression was performed to determine the effect of predictors on basal corticosterone concentrations. Seventy-five studies were included using the predictors sex, time-since-lights-on, sample matrix, quantification technique, age of the mice, and type of control. Sex, time-since-lights-on, and type of control significantly affected basal corticosterone concentrations. The resulting database can be used, inter alia, for preventing unnecessary duplication of experiments, identifying knowledge gaps, and standardizing or heterogenizing methodologies. These results will help plan more efficient and valid experiments in the future and can answer new questions in silico using meta-analyses.