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Jezierski T., Gorecka A. |
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Changes in the horses heart rate during different levels of social isolation |
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Journal Article |
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Year |
2000 |
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Animal Science Papers and Reports |
Abbreviated Journal |
Anim. Sci. Pap. Rep. |
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18 |
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1 |
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33-41 |
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Keywords |
horse; heart rate; human-animal relation |
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Abstract |
Social isolation in horses may be regarded as a stress factor which implies welfare problems. The aim of the experiment was to examine the effect of different levels of transient social isolation and human presence on the heart rate (HR) in horses. Seven horses were used and the experiment was conducted in a tether-stable without boxes. The HR was recorded electronically, continuously for 40 min during the following test situations: all horses in the stable; experimenter approaches the tested horse, other horses being untied and leaving the stable; tested horse staying alone or in the company of one or two stable-mates; the experimenter attempts to calm the isolated horse; outdoor auditory stimuli from other horses. The HR was significantly higher during the whole period of isolation, and depended on how many horses were left as company for the one tested. The highest HR was observed while other horses were leaving the stable and during perception of outdoor auditory stimuli from others. When in the company of two stable mates, the HR was elevated only while other horses were leaving the stable and during auditory stimuli from outdoors. Human presence evoked a significant increase in HR, probably due to conditioning of horses (expecting to be untied and allowed to join the others), irrespectively whether the tested horse was left alone or with one or two stable-mates. |
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Equine Behaviour @ team @ |
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4816 |
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Nicol, C.J.; Adachi, M.; Akiyama, T.E.; Gonzalez, F.J. |
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Title |
PPARgamma in endothelial cells influences high fat diet-induced hypertension |
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Journal Article |
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Year |
2005 |
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American journal of hypertension : journal of the American Society of Hypertension |
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Am J Hypertens |
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18 |
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4 Pt 1 |
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549-556 |
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Administration, Oral; Animals; Antihypertensive Agents/pharmacology; Blood Pressure/drug effects; Diabetes Mellitus, Type 2/physiopathology; Dietary Fats/*administration & dosage/pharmacology; Dose-Response Relationship, Drug; Endothelial Cells/*metabolism; Female; Heart Rate/drug effects; Hypertension/*etiology; Ligands; Male; Mice; Mice, Knockout; PPAR gamma/*metabolism; Sodium Chloride/administration & dosage/pharmacology; Thiazolidinediones/pharmacology |
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BACKGROUND: Peroxisome proliferator-activated receptor gamma (PPARgamma) ligands improve human hypertension. However, the mechanism and site of this effect remains unknown, confounded by PPARgamma expression in many cell types, including endothelial cells (ECs). METHODS: To evaluate the vascular role of PPARgamma we used a conditional null mouse model. Specific disruption of PPARgamma in ECs was created by crossing Tie2-Cre+ transgenic (T2T+) and PPARgamma-floxed (fl/fl) mice to generate PPARgamma (fl/fl)T2T+ (PPARgamma E-null) mice. Conscious 8- to 12-week-old congenic PPARgamma (fl/fl)Cre- (wild type) and PPARgamma E-null mice were examined for changes in systolic blood pressure (BP) and heart rate (HR), untreated, after 2 months of salt-loading (drinking water), and after treatment for 3 months with high fat (HF) diet alone or supplemented during the last 2 weeks with rosiglitazone (3 mg/kg/d). RESULTS: Untreated PPARgamma E-nulls were phenotypically indistinguishable from wild-type littermates. However, compared to similarly treated wild types, HF-treated PPARgamma E-nulls had significantly elevated systolic BP not seen after normal diet or salt-loading. Despite sex-dependent baseline differences, salt-loaded and HF-treated PPARgamma E-nulls of either sex had significantly elevated HR versus wild types. Interestingly, rosiglitazone improved serum insulin levels, but not HF diet-induced hypertension, in PPARgamma E-null mice. CONCLUSIONS: These results suggest that PPARgamma in ECs not only is an important regulator of hypertension and HR under stressed conditions mimicking those arising in type 2 diabetics, but also mediates the antihypertensive effects of rosiglitazone. These data add evidence supporting a beneficial role for PPARgamma-specific ligands in the treatment of hypertension, and suggest therapeutic strategies targeting ECs may prove useful. |
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Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA |
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0895-7061 |
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PMID:15831367 |
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refbase @ user @ |
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69 |
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A. Lanata; A. Guidi; G. Valenza; P. Baragli; E. P. Scilingo |
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Quantitative heartbeat coupling measures in human-horse interaction |
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2016 |
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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (E |
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2696-2699 |
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electrocardiography; medical signal processing; signal classification; time series; Dtw; Hrv; Mpc; Msc; complex biological systems; dynamic time warping; grooming; heart rate variability time series; heartbeat dynamics; human-horse dynamic interaction; magnitude squared coherence; magnitude-phase coupling; mean phase coherence; nearest mean classifier; quantitative heartbeat coupling; real human-animal interaction; time duration; visual-olfactory interaction; Coherence; Couplings; Electrocardiography; Heart rate variability; Horses; Protocols; Time series analysis |
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Abstract— We present a study focused on a quantitative estimation of a human-horse dynamic interaction. A set of measures based on magnitude and phase coupling between heartbeat dynamics of both humans and horses in three different conditions is reported: no interaction, visual/olfactory interaction and grooming. Specifically, Magnitude Squared Coherence (MSC), Mean Phase Coherence (MPC) and Dynamic Time Warping (DTW) have been used as estimators of the amount of coupling between human and horse through the analysis of their heart rate variability (HRV) time series in a group of eleven human subjects, and one horse. The rationale behind this study is that the interaction of two complex biological systems go towards a coupling process whose dynamical evolution is modulated by the kind and time duration of the interaction itself. We achieved a congruent and consistent
statistical significant difference for all of the three indices. Moreover, a Nearest Mean Classifier was able to recognize the three classes of interaction with an accuracy greater than 70%. Although preliminary, these encouraging results allow a discrimination of three distinct phases in a real human-animal interaction opening to the characterization of the empirically proven relationship between human and horse. |
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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (E |
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1557-170x |
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Equine Behaviour @ team @ |
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6175 |
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