Artikel CC BY 4.0
referiert
Veröffentlicht

Body temperature measurement in mice during acute illness: implantable temperature transponder versus surface infrared thermometry.

Zugehörigkeit
Department of Neurology and Department of Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Mei, Jie;
Zugehörigkeit
QUEST - Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Berlin, Germany.
Riedel, Nico;
Zugehörigkeit
Center for Stroke Research, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Grittner, Ulrike;
Zugehörigkeit
Department of Neurology and Department of Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Endres, Matthias;
Zugehörigkeit
German Federal Institute for Risk Assessment, German Center for the Protection of Laboratory Animals (Bf3R), Berlin, Germany.
Banneke, Stefanie;
ORCID
0000-0002-3393-0840
Zugehörigkeit
Department of Neurology and Department of Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Emmrich, Julius Valentin

Body temperature is a valuable parameter in determining the wellbeing of laboratory animals. However, using body temperature to refine humane endpoints during acute illness generally lacks comprehensiveness and exposes to inter-observer bias. Here we compared two methods to assess body temperature in mice, namely implanted radio frequency identification (RFID) temperature transponders (method 1) to non-contact infrared thermometry (method 2) in 435 mice for up to 7 days during normothermia and lipopolysaccharide (LPS) endotoxin-induced hypothermia. There was excellent agreement between core and surface temperature as determined by method 1 and 2, respectively, whereas the intra- and inter-subject variation was higher for method 2. Nevertheless, using machine learning algorithms to determine temperature-based endpoints both methods had excellent accuracy in predicting death as an outcome event. Therefore, less expensive and cumbersome non-contact infrared thermometry can serve as a reliable alternative for implantable transponder-based systems for hypothermic responses, although requiring standardization between experimenters.

Zitieren

Zitierform:
Zitierform konnte nicht geladen werden.

Zugriffsstatistik

Gesamt:
Volltextzugriffe:
Metadatenansicht:
12 Monate:
Volltextzugriffe:
Metadatenansicht:

Rechte

Nutzung und Vervielfältigung: