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Kahnau P, Mieske P, Wilzopolski J, Kalliokoski O, Mandillo S, Hölter SM, Voikar V, Amfim A, Badurek S, Bartelik A, Caruso A, Čater M, Ey E, Golini E, Jaap A, Hrncic D, Kiryk A, Lang B, Loncarevic-Vasiljkovic N, Meziane H, Radzevičienė A, Rivalan M, Scattoni ML, Torquet N, Trifkovic J, Ulfhake B, Thöne-Reineke C, Diederich K, Lewejohann L, Hohlbaum K. A systematic review of the development and application of home cage monitoring in laboratory mice and rats. BMC Biol 2023; 21:256. [PMID: 37953247 PMCID: PMC10642068 DOI: 10.1186/s12915-023-01751-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 10/30/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND Traditionally, in biomedical animal research, laboratory rodents are individually examined in test apparatuses outside of their home cages at selected time points. However, the outcome of such tests can be influenced by various factors and valuable information may be missed when the animals are only monitored for short periods. These issues can be overcome by longitudinally monitoring mice and rats in their home cages. To shed light on the development of home cage monitoring (HCM) and the current state-of-the-art, a systematic review was carried out on 521 publications retrieved through PubMed and Web of Science. RESULTS Both the absolute (~ × 26) and relative (~ × 7) number of HCM-related publications increased from 1974 to 2020. There was a clear bias towards males and individually housed animals, but during the past decade (2011-2020), an increasing number of studies used both sexes and group housing. In most studies, animals were kept for short (up to 4 weeks) time periods in the HCM systems; intermediate time periods (4-12 weeks) increased in frequency in the years between 2011 and 2020. Before the 2000s, HCM techniques were predominantly applied for less than 12 h, while 24-h measurements have been more frequent since the 2000s. The systematic review demonstrated that manual monitoring is decreasing in relation to automatic techniques but still relevant. Until (and including) the 1990s, most techniques were applied manually but have been progressively replaced by automation since the 2000s. Independent of the year of publication, the main behavioral parameters measured were locomotor activity, feeding, and social behaviors; the main physiological parameters were heart rate and electrocardiography. External appearance-related parameters were rarely examined in the home cages. Due to technological progress and application of artificial intelligence, more refined and detailed behavioral parameters have been investigated in the home cage more recently. CONCLUSIONS Over the period covered in this study, techniques for HCM of mice and rats have improved considerably. This development is ongoing and further progress as well as validation of HCM systems will extend the applications to allow for continuous, longitudinal, non-invasive monitoring of an increasing range of parameters in group-housed small rodents in their home cages.
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Affiliation(s)
- Pia Kahnau
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
| | - Paul Mieske
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany
| | - Jenny Wilzopolski
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
| | - Otto Kalliokoski
- Department of Experimental Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Silvia Mandillo
- Institute of Biochemistry and Cell Biology, National Research Council CNR, Rome, Italy
| | - Sabine M Hölter
- Helmholtz Zentrum München, German Research Centre for Environmental Health, Munich, Germany
| | - Vootele Voikar
- Neuroscience Center, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Adriana Amfim
- Faculty of Veterinary Medicine, Spiru Haret University, Bucharest, Romania
| | - Sylvia Badurek
- Preclinical Phenotyping Facility, Vienna Biocenter Core Facilities (VBCF), member of the Vienna Biocenter (VBC), Vienna, Austria
| | - Aleksandra Bartelik
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Angela Caruso
- Istituto Superiore Di Sanità, Research Coordination and Support Service, Rome, Italy
| | - Maša Čater
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Elodie Ey
- Université de Strasbourg, CNRS, Inserm, Institut de Génétique et de Biologie Moléculaire et Cellulaire UMR 7104- UMR-S 1258, Illkirch, 67400, France
| | - Elisabetta Golini
- Institute of Biochemistry and Cell Biology, National Research Council CNR, Rome, Italy
| | - Anne Jaap
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany
| | - Dragan Hrncic
- Institute of Medical Physiology "Richard Burian", Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Anna Kiryk
- Laboratory of Preclinical Testing of Higher Standard, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Science, Warsaw, Poland
| | - Benjamin Lang
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany
| | - Natasa Loncarevic-Vasiljkovic
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Hamid Meziane
- Université de Strasbourg, CNRS, INSERM, Institut Clinique de La Souris (ICS), CELPHEDIA, PHENOMIN, 1 Rue Laurent Fries, Illkirch, 67404, France
| | - Aurelija Radzevičienė
- Lithuanian University of Health Sciences, Medical Academy, Institute of Physiology and Pharmacology, Kaunas, Lithuania
| | - Marion Rivalan
- Research Institute for Experimental Medicine (FEM) and NeuroCure Cluster of Excellence, Animal Behaviour Phenotyping Facility, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Maria Luisa Scattoni
- Istituto Superiore Di Sanità, Research Coordination and Support Service, Rome, Italy
| | - Nicolas Torquet
- Université de Strasbourg, CNRS, Inserm, IGBMC, Institut Clinique de la Souris (ICS), CELPHEDIA, PHENOMIN, UMR 7104- UMR-S 1258, Illkirch, 67400, France
| | - Julijana Trifkovic
- Department of Veterinary Medicine, Faculty of Agriculture, University of East Sarajevo, East Sarajevo, Bosnia and Herzegovina
| | - Brun Ulfhake
- Div. Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Christa Thöne-Reineke
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany
| | - Kai Diederich
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
| | - Lars Lewejohann
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany
| | - Katharina Hohlbaum
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany.
- Science of Intelligence, Research Cluster of Excellence, Marchstr. 23, 10587, Berlin, Germany.
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Klappenbach CM, Wang Q, Jensen AL, Glodosky NC, Delevich K. Sex and timing of gonadectomy relative to puberty interact to influence weight, body composition, and feeding behaviors in mice. Horm Behav 2023; 151:105350. [PMID: 36996734 DOI: 10.1016/j.yhbeh.2023.105350] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 04/01/2023]
Abstract
Gonadal sex steroids are important regulators of energy balance in adult rodents, and gonadectomy (GDX) has opposing effects on weight gain in sexually mature males and females. Puberty is associated with the emergence of sex differences in weight, body composition, and feeding behaviors, yet the role of gonadal hormones at puberty remains unclear. To address this, we performed GDX or sham surgery in male and female C57Bl/6 mice at postnatal day (P)25 (prepubertal) or P60 (postpubertal) timepoints and measured weight and body composition for 35 days, after which ad libitum and operant food intake was measured using Feeding Experimentation Device 3 (FED3s) in the home cage. Consistent with previous studies, postpubertal GDX caused weight gain in females and weight loss in males and increased adiposity in both sexes. However, prepubertal GDX decreased weight gain and altered body composition across the adolescent transition (P25 to P60) in males but had no effect in females. Despite the varied effects on weight, GDX decreased food intake and motivation for food as assessed in operant tasks regardless of sex or timing of surgery relative to puberty. Our findings indicate that GDX interacts with both sex and age at surgery to influence weight, body composition, and feeding behavior.
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Affiliation(s)
- Courtney M Klappenbach
- Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA 99164, USA
| | - Qing Wang
- Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA 99164, USA
| | - Allison L Jensen
- Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA 99164, USA
| | - Nicholas C Glodosky
- Department of Psychology Washington State University, Pullman, WA 99164, USA
| | - Kristen Delevich
- Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA 99164, USA.
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Kahnau P, Jaap A, Diederich K, Gygax L, Rudeck J, Lewejohann L. Determining the value of preferred goods based on consumer demand in a home-cage based test for mice. Behav Res Methods 2023; 55:751-766. [PMID: 35469084 PMCID: PMC10027648 DOI: 10.3758/s13428-022-01813-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 11/08/2022]
Abstract
From the preference of one good over another, the strength of the preference cannot automatically be inferred. While money is the common denominator to assess the value of goods in humans, it appears difficult at first glance to put a price tag on the decisions of laboratory animals. Here we used consumer demand tests to measure how much work female mice expend to obtain access to different liquids. The mice could each choose between two liquids, one of which was free. The amount of work required to access the other liquid, by contrast, increased daily. In this way, the value of the liquid can be determined from a mouse's microeconomic perspective. The unique feature is that our test was carried out in a home-cage based setup. The mice lived in a group but could individually access the test-cage, which was connected to the home-cage via a gate. Thereby the mice were able to perform their task undisturbed by group members and on a self-chosen schedule with minimal influence by the experimenter. Our results show that the maximum number of nosepokes depends on the liquids presented. Mice worked incredibly hard for access to water while a bitter-tasting solution was offered for free whereas they made less nosepokes for sweetened liquids while water was offered for free. The results demonstrate that it is possible to perform automated and home-cage based consumer demand tests in order to ask the mice not only what they like best but also how strong their preference is.
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Affiliation(s)
- Pia Kahnau
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Max-Dohrn Str. 8-10, 10589, Berlin, Germany.
| | - Anne Jaap
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Max-Dohrn Str. 8-10, 10589, Berlin, Germany
| | - Kai Diederich
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Max-Dohrn Str. 8-10, 10589, Berlin, Germany
| | - Lorenz Gygax
- Animal Husbandry and Ethology, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Juliane Rudeck
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Max-Dohrn Str. 8-10, 10589, Berlin, Germany
| | - Lars Lewejohann
- German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Max-Dohrn Str. 8-10, 10589, Berlin, Germany
- Animal Behavior and Laboratory Animal Science, Institute of Animal Welfare, Freie Universität Berlin, Berlin, Germany
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Klein CJMI, Budiman T, Homberg JR, Verma D, Keijer J, van Schothorst EM. Measuring Locomotor Activity and Behavioral Aspects of Rodents Living in the Home-Cage. Front Behav Neurosci 2022; 16:877323. [PMID: 35464142 PMCID: PMC9021872 DOI: 10.3389/fnbeh.2022.877323] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Automatization and technological advances have led to a larger number of methods and systems to monitor and measure locomotor activity and more specific behavior of a wide variety of animal species in various environmental conditions in laboratory settings. In rodents, the majority of these systems require the animals to be temporarily taken away from their home-cage into separate observation cage environments which requires manual handling and consequently evokes distress for the animal and may alter behavioral responses. An automated high-throughput approach can overcome this problem. Therefore, this review describes existing automated methods and technologies which enable the measurement of locomotor activity and behavioral aspects of rodents in their most meaningful and stress-free laboratory environment: the home-cage. In line with the Directive 2010/63/EU and the 3R principles (replacement, reduction, refinement), this review furthermore assesses their suitability and potential for group-housed conditions as a refinement strategy, highlighting their current technological and practical limitations. It covers electrical capacitance technology and radio-frequency identification (RFID), which focus mainly on voluntary locomotor activity in both single and multiple rodents, respectively. Infrared beams and force plates expand the detection beyond locomotor activity toward basic behavioral traits but discover their full potential in individually housed rodents only. Despite the great premises of these approaches in terms of behavioral pattern recognition, more sophisticated methods, such as (RFID-assisted) video tracking technology need to be applied to enable the automated analysis of advanced behavioral aspects of individual animals in social housing conditions.
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Affiliation(s)
- Christian J. M. I. Klein
- Human and Animal Physiology, Wageningen University and Research, Wageningen, Netherlands
- TSE Systems GmbH, Berlin, Germany
| | | | - Judith R. Homberg
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Jaap Keijer
- Human and Animal Physiology, Wageningen University and Research, Wageningen, Netherlands
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