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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Radzevičienė A, Stankevičius E, Saint-Marcoux F, Marquet P, Maslauskienë R, Kaduševičius E. Pharmacokinetic evaluation of MFF in combinations with tacrolimus and cyclosporine. Findings of C0 and AUC. Medicine (Baltimore) 2020; 99:e19441. [PMID: 32195940 PMCID: PMC7220402 DOI: 10.1097/md.0000000000019441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
We hypothesized that area under the concentration time curve (AUC(0-12)) is more accurate pharmacokinetic predictor vs trough level of mycophenolic acid (C0).Study was performed at the University Hospital of Limoges (France) and included 238 renal recipients aged 22 to 82 years. Risk of nephropathy was evaluated by analyzing data of protocol biopsies according to the Banff 97 classification.Assessment of immunosuppressants' exposures was based on the calculation of the mean of AUC(0-12). The AUC(0-12) was estimated using a Bayesian estimator and a 3-point limited sampling strategy. Cyclosporine and tacrolimus analyses were performed using liquid chromatography-mass spectrometry method. The measurement of total mycophenolic acid was performed using a validated high-performance liquid chromatography method with ultraviolet detection. IBM SPSS 20.0 was used for statistical analysis.The most accurate dosing of mycophenolate mofetil (MMF) was observed in patients receiving MMF with tacrolimus, 70.6% of patients' AUC(0-12) exposures were within the therapeutic range. The highest rates of low dosing were observed in patients receiving MMF with cyclosporine, 30.9% of patients had AUC(0-12) exposures below the therapeutic range. The assessment of AUC(0-12) revealed 38% of chronic nephropathy cases, while C0 enables to identify only 20% of chronic nephropathy cases.Probability test results showed that more likely AUC(0-12) and C0 will be maintained within the therapeutic width if patients receive MMF with tacrolimus vs MMF with cyclosporine: 0.6320 vs 0.6410 for AUC(0-12) determination and 0.8415 vs 0.4827 for C0 determination.Combination of MMF with tacrolimus is dosed more precisely vs dosing of MMF with cyclosporine. 72 (70.6%) patients AUC(0-12) and 79 (77.5%) patients C0 out of 102 patients were within the therapeutic range. The AUC(0-12) monitoring of mycophenolic acid in patients receiving MMF with tacrolimus or in patients receiving MMF with cyclosporine enabled to identify more overdosing and possible risky cases.Study results show that standard MMF dosing without monitoring and with mycophenolic acid level within the therapeutic width is possible and demonstrates less risky cases in patients receiving MMF with tacrolimus, while patients receiving MMF with cyclosporine should be intensively monitored to achieve the highest safety. However, AUC(0-12) monitoring is advised showing better compliance vs C0 monitoring.
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Affiliation(s)
- Aurelija Radzevičienė
- Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Edgaras Stankevičius
- Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Franck Saint-Marcoux
- INSERM UMR 850, Limoges
- Department of Pharmacology, Service de pharmacologie, toxicologie et pharmacovigilance, CHU de Limoges, Limoges University Hospital, 2 Ave Martin Luther King, Limoges cedex
- University of Limoges, Limoges, France
| | - Pierre Marquet
- INSERM UMR 850, Limoges
- Department of Pharmacology, Service de pharmacologie, toxicologie et pharmacovigilance, CHU de Limoges, Limoges University Hospital, 2 Ave Martin Luther King, Limoges cedex
- University of Limoges, Limoges, France
| | - Rima Maslauskienë
- Department of Nephrology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Edmundas Kaduševičius
- Institute of Physiology and Pharmacology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
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