Physical activity monitoring of transgenic minipigs using telemetric accelerometer

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00301501" target="_blank" >RIV/68407700:21230/16:00301501 - isvavai.cz</a>

Výsledek na webu

<a href="http://jnnp.bmj.com/content/87/Suppl_1/A31.2.abstract" target="_blank" >http://jnnp.bmj.com/content/87/Suppl_1/A31.2.abstract</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1136/jnnp-2016-314597.93" target="_blank" >10.1136/jnnp-2016-314597.93</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Physical activity monitoring of transgenic minipigs using telemetric accelerometer

Popis výsledku v původním jazyce

Background Animal models are very useful tool for research in the field of Huntington’s disease (HD). In the last years large animal models were developed to improve understanding of HD because the complexity of their brain. Transgenic (TgHD) minipig expressing N-terminal part of human huntingtin with 124 CAG/CAA repeats seems to be very promising model of HD. Aims The aim of study was to find and measure the physical activity disturbances by three-years-old boars using telemetric accelerometer. The disturbances could be characterised by deficit in sleep and circadian organisation of TgHD boars expressing human mutated huntingtin in comparison with wild type boars (WT). Methods/techniques The physical activity was continuously measured by five TgHD and five WT animals during the six days. RodentPACK2 transmitter was used as telemetric accelerometer. Every pig wore the collar with one accelerometer. Measured data was statistically processed in the software ecgAUTO provided by accelerometer manufacturer – emka TECHNOLOGIES. Results/outcome The analysis have shown significant decrease of physical activity of TgHD boars between 4:40 and 5:30 a.m. (after night sleep and before morning feeding) in comparison with WT boars which could be explained with disturbed energy metabolism. Conclusions Telemetric accelerometers will play an important role in the study of physical activity because it is precise, objective and automatic method for a classification of physical activity disturbances. It will lead to deeper characterisation of large animal HD models in preclinical and clinical phase. Acknowledgements This work was supported by the 7 F – EEA/Norwegian Financial Mechanism (2008–2017) 7F14308, CHDI Foundation (A-5378, A-8248), ExAM – CZ.1.05./2.1.00/03.0124, RVO: 67985904 and SGS14/191/OHK3/3T/13 – Advanced algorithms of digital signal processing and their applications.

Název v anglickém jazyce

Physical activity monitoring of transgenic minipigs using telemetric accelerometer

Popis výsledku anglicky

Background Animal models are very useful tool for research in the field of Huntington’s disease (HD). In the last years large animal models were developed to improve understanding of HD because the complexity of their brain. Transgenic (TgHD) minipig expressing N-terminal part of human huntingtin with 124 CAG/CAA repeats seems to be very promising model of HD. Aims The aim of study was to find and measure the physical activity disturbances by three-years-old boars using telemetric accelerometer. The disturbances could be characterised by deficit in sleep and circadian organisation of TgHD boars expressing human mutated huntingtin in comparison with wild type boars (WT). Methods/techniques The physical activity was continuously measured by five TgHD and five WT animals during the six days. RodentPACK2 transmitter was used as telemetric accelerometer. Every pig wore the collar with one accelerometer. Measured data was statistically processed in the software ecgAUTO provided by accelerometer manufacturer – emka TECHNOLOGIES. Results/outcome The analysis have shown significant decrease of physical activity of TgHD boars between 4:40 and 5:30 a.m. (after night sleep and before morning feeding) in comparison with WT boars which could be explained with disturbed energy metabolism. Conclusions Telemetric accelerometers will play an important role in the study of physical activity because it is precise, objective and automatic method for a classification of physical activity disturbances. It will lead to deeper characterisation of large animal HD models in preclinical and clinical phase. Acknowledgements This work was supported by the 7 F – EEA/Norwegian Financial Mechanism (2008–2017) 7F14308, CHDI Foundation (A-5378, A-8248), ExAM – CZ.1.05./2.1.00/03.0124, RVO: 67985904 and SGS14/191/OHK3/3T/13 – Advanced algorithms of digital signal processing and their applications.

Druh

O - Ostatní výsledky

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů