Benefits of non-invasive methods compared to telemetry for distress analysis in a murine model of pancreatic cancer

Kumstel, Simone; Vasudevan, Praveen; Palme, Rupert; Zhang, Xianbin; Wendt, Edgar Heinz Uwe; David, Robert; Vollmar, Brigitte; Zechner, Dietmar

doi:10.1016/j.jare.2019.09.002

Cited by 29 publications

(39 citation statements)

References 40 publications

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“…The distress-score was based on other score sheets [52,53] and previously published by our working group [45,49,54,55]. The score evaluates the general condition, spontaneous behavior, and flight behavior of mice, and was assessed 30 min after the last injection of cerulein (15.00-15.30).…”

Section: Analysis Of Animal Distress and Water Consumptionmentioning

confidence: 99%

Analysis of Animal Well-Being When Supplementing Drinking Water with Tramadol or Metamizole during Chronic Pancreatitis

Tang

Nierath

Palme

et al. 2020

Animals

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Pain management during in vivo experiments is an animal welfare concern and is in many countries also legally required. In this study, we evaluated C57Bl/6J mice when 3 g/L metamizole or 1 g/L tramadol was provided via drinking water, before and during cerulein-induced chronic pancreatitis. Supplementation of drinking water with metamizole or tramadol did not significantly reduce the amount of consumed water. In order to evaluate the wellbeing of mice, a distress score, burrowing activity, nesting behavior, and body weight was assessed. Before induction of pancreatitis, neither tramadol nor metamizole influenced these readout parameters. Chronic pancreatitis caused a significantly increased distress score, decreased burrowing activity and a reduction in body weight. Mice drinking tramadol-supplemented water experienced less loss in body weight and consumed more water than mice drinking metamizole, at a few time-points during chronic pancreatitis. Pancreatic atrophy, a characteristic feature of chronic pancreatitis was not differentially influenced by either analgesic. In conclusion, both analgesics can be used during 33 days of chronic pancreatitis, but tramadol seems to be moderately advantageous when compared to metamizole.

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Section: Analysis Of Animal Distress and Water Consumptionmentioning

confidence: 99%

Analysis of Animal Well-Being When Supplementing Drinking Water with Tramadol or Metamizole during Chronic Pancreatitis

Tang

Nierath

Palme

et al. 2020

Animals

Self Cite

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“…Subsequent allocation of HR and Act data of experimental procedures of different domains into these classes allowed ranking of experimental procedures. Data of most behavioral and maintenance procedures were allocated in the low HR/low Act and high HR/high Act classes, as expected during resting condition and exploratory or stress-like behavior (Galani et al, 2001;Van Den Buuse et al, 2001;Sharp et al, 2002), whereas after different surgical procedures, data were initially allocated to the high HR/low Act class, as expected during burdensome procedures (Kramer et al, 1993;Arras et al, 2007;Greene et al, 2007;Wright-Williams et al, 2007;National Academy of Sciences US, 2009;Bourque et al, 2010;Cesarovic et al, 2011;Kumstel et al, 2020). This indicates that k-means labeled SVM may be useful for the assessment and grading of scientific procedures of different domains.…”

Section: Discussionmentioning

confidence: 99%

“…Another parameter that has been reported to be altered in burdensome situations is Act. A reduction of this parameter has been described after potentially painful transmitter implantation (Greene et al, 2007;Bourque et al, 2010;Cesarovic et al, 2011;Kumstel et al, 2020). Act measured as voluntary wheelrunning in mice was also reduced after repeated restraint stress (Häger et al, 2018).…”

Section: Introductionmentioning

confidence: 94%

“…Instead, telemetry allows home cage-based contactless and observer-unbiased monitoring of physiological parameters, such as heart rate (HR) and activity (Act), and allows, therefore, evidence-based severity assessment (Kramer et al, 1993;Arras et al, 2007;Cesarovic et al, 2011;Seiffert et al, 2019). A further benefit of telemetry is the high temporal resolution to detect short-term deviations of parameters (Kumstel et al, 2020). Elevated HR has been described not only as physiological indicator for postoperative pain in various species (Kramer et al, 1993;Arras et al, 2007;National Academy of Sciences US, 2009;Cesarovic et al, 2011;Kumstel et al, 2020) but also as response to restraint (Sharp et al, 2002;Meijer et al, 2006;Chen et al, 2009), as response to handling (Kramer et al, 1993;Baturaite et al, 2005;Van Bogaert et al, 2006), or as response to injections (Meijer et al, 2006;Van Bogaert et al, 2006), indicating a stress-like reaction.…”

Section: Introductionmentioning

confidence: 99%

“…A further benefit of telemetry is the high temporal resolution to detect short-term deviations of parameters (Kumstel et al, 2020). Elevated HR has been described not only as physiological indicator for postoperative pain in various species (Kramer et al, 1993;Arras et al, 2007;National Academy of Sciences US, 2009;Cesarovic et al, 2011;Kumstel et al, 2020) but also as response to restraint (Sharp et al, 2002;Meijer et al, 2006;Chen et al, 2009), as response to handling (Kramer et al, 1993;Baturaite et al, 2005;Van Bogaert et al, 2006), or as response to injections (Meijer et al, 2006;Van Bogaert et al, 2006), indicating a stress-like reaction. However, elevated HR is also a physiological reaction to enhanced Act, e.g., during exploration of a novel environment (Van Den Buuse et al, 2001) or after cage change (Sharp et al, 2002;Van Bogaert et al, 2006;Meller et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of Heart Rate and Activity Using Telemetry Allows Grading of Experimental Procedures Used in Neuroscientific Rat Models

et al. 2020

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In animal experimentation, welfare and severity assessments of all procedures applied to animals are necessary to meet legal and ethical requirements, as well as public interests. So far, the methods suggested for this purpose are time consuming and personnel intensive. Also, evidence-based biostatistical methods for this purpose are still rare. We here tested whether the classification of heart rate (HR) and activity (Act) data monitored by telemetry in the home cage by unsupervised k-means-based class-labeling and subsequent Support Vector Machine (SVM) analysis allows severity assessment and grading of experimental procedures of different domains, including surgery, injection, behavioral testing, and routine handling for maintenance. Telemetric devices were subcutaneously implanted in young adult male Crl:CD(SD) and BDIX/UImHanZtm rats. After recovery, rats were randomly subjected to different experimental procedures, i.e., handling and cage change as routine maintenance, Rat Grimace Scale, burrowing, and social interaction for welfare assessment, as well as repeated subcutaneous injections. Thereafter, rats were either intracranially implanted with electrodes or injected with tumor cells. Directly after each procedure, HR and Act were monitored by telemetry in the home cage for 4 h. Application of k-means and SVM algorithms on the obtained data sets from baseline (as no stress), cage change (exploratory Act), and intracranial surgery (as burden) measurements computed three classes described as low HR/low Act, high HR/high Act, and high HR/low Act, respectively. Validation of the SVM model by entering data from all procedures confirmed the allocation to the high HR/low Act class (burden) after surgery, which lasted longer after subcutaneous transmitter implantation than after intracranial surgery. The majority of data points from repeated injections, behavioral testing, and maintenance handling were allocated to the low HR/low Act and high HR/high Act classes. Overall, the SVM model based on HR and Act data monitored in home cage after procedures may be useful for the classification and grading of experimental procedures of different domains.

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An Untethered Heart Rhythm Monitoring System with Automated AI‐Based Arrhythmia Detection for Closed‐Loop Experimental Application

Deng,

den Ouden,

De Coster

et al. 2024

Advanced Sensor Research

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The heart produces bioelectrical signals, which can be measured as an electrocardiogram (ECG) for the detection of rhythm disturbances. Rapid and precise detection of these arrhythmias is crucial for their termination by closed‐looped therapeutic interventions to counteract detrimental effects. However, there is a current lack of such systems tailored for experimental cardiovascular applications. This hampers not only in‐depth mechanistic studies but also translational testing of new therapeutic strategies, especially in an untethered manner in awake animal models. To break new ground, recent advances to develop a non‐invasive AI‐supported heart rhythm monitoring system for untethered automated arrhythmia detection in a continuous manner is combined. This system is housed in a lightweight jacket for mobile use and includes an on‐skin ECG sensor, a low‐power microprocessor unit, a massive data storage unit, and a power‐management system. By implementing a novel hybrid algorithm based on so‐called heart rate (R‐R) variability and a case‐specific AI model, 100% sensitivity and 95% specificity is achieved in detecting atrial arrhythmias within 2 s upon initiation in adult rats. Thereby, the novel system sets the stage for advanced mechanistic studies and therapeutic testing, including closed‐loop applications aiming for the termination of a broad range of atrial arrhythmias.

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Benefits of non-invasive methods compared to telemetry for distress analysis in a murine model of pancreatic cancer

Abstract: Graphical abstract

Cited by 29 publications

References 40 publications

Analysis of Animal Well-Being When Supplementing Drinking Water with Tramadol or Metamizole during Chronic Pancreatitis

Analysis of Animal Well-Being When Supplementing Drinking Water with Tramadol or Metamizole during Chronic Pancreatitis

Monitoring of Heart Rate and Activity Using Telemetry Allows Grading of Experimental Procedures Used in Neuroscientific Rat Models

An Untethered Heart Rhythm Monitoring System with Automated AI‐Based Arrhythmia Detection for Closed‐Loop Experimental Application

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