Purpose: To evaluate baroreflex sensitivity and autonomic control in a cohort of normotensive obese (OB) children.
Method: A cross-sectional investigation, in which, baroreflex sensitivity and autonomic control were evaluated using transfer function and power spectral density analysis (PSDA) of the electrocardiogram and beat-to-beat blood pressures in normotensive OB children and normal weight normotensive controls. All methods used were noninvasive and data were captured while seated and at rest.
Results: The OB and control subjects non-obese (NO) were of similar age (OB 9.1±1.9 years vs. NO 9.2±1.4 years). The OB group was classified as having a BMI greater than the 95th percentile adjusted for age and gender, and a NO group with a BMI at or less than the 95th percentile (BMI percentile OB. 97.5±1.3 vs. NO 58.5±24.1). Both groups had similar normotensive blood pressures. T tests revealed that baroreflex sensitivity and HFRR were significantly reduced in the OB 9.2±2.7 vs. 15.2±4.7 (ms/mmHg) and 6.7±1.1 vs. 8.2±1.1 ms2, respectively, while LFSBP and LF/HF ratio were significantly increased in the OB 11.9±5.6 vs. 8.2±4.7 mmHg2 and 1.2±0.7 vs. 0.54±0.3, respectively.
Conclusions: Normotensive OB children exhibited significantly reduced baroreflex sensitivity, parasympathetic control as well as increased sympathetic control when compared with healthy, NO controls. Findings in this investigation raise the awareness that autonomic dysfunction is present in young OB normotensive children.
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http://dx.doi.org/10.1007/s10286-011-0116-8 | DOI Listing |
Purpose Pre-clinical studies have demonstrated direct influences of the autonomic nervous system (ANS) on the immune system. However, it remains unknown if connections between the peripheral ANS and immune system exist in humans and contribute to the development of chronic inflammatory disease. This study had three aims: 1.
View Article and Find Full Text PDFFront Sports Act Living
December 2024
Geriatric Medicine Research, Dalhousie University & Nova Scotia Health, Halifax, NS, Canada.
Engaging in muscle strengthening activities (e.g., resistance training) at least twice/week is promoted by (Inter)national movement guidelines.
View Article and Find Full Text PDFJ Physiol
December 2024
Daniel Baugh Institute for Functional Genomics and Computational Biology, Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Loss of cardiac physiological function following myocardial infarction (MI) is accompanied by neural adaptations in the baroreflex that are compensatory in the short term, but then become associated with long-term disease progression. One marker of these adaptations is decreased baroreflex sensitivity, a strong predictor of post-MI mortality. The relative contributions of cardiac remodelling and neural adaptation in the sensory, central brainstem and peripheral ganglionic loci to baroreflex sensitivity changes remain underexplored.
View Article and Find Full Text PDFPLoS Comput Biol
December 2024
Sano Centre for Computational Medicine, Cracow, Poland.
The baroreflex is one of the most important control mechanisms in the human cardiovascular system. This work utilises a closed-loop in silico model of baroreflex regulation, coupled to pulsatile mechanical models with (i) one heart chamber and 36-parameters and (ii) four chambers and 51 parameters. We perform the first global sensitivity analysis of these closed-loop systems which considers both cardiovascular and baroreflex parameters, and compare the models with their respective unregulated equivalents.
View Article and Find Full Text PDFActa Neurochir (Wien)
December 2024
Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke Hospital, University of Cambridge, Cambridge, UK.
Background: Traumatic brain injury (TBI) can significantly disrupt autonomic nervous system (ANS) regulation, increasing the risk for secondary complications, hemodynamic instability, and adverse outcome. This retrospective study evaluated windowed time-lagged cross-correlation (WTLCC) matrices for describing cerebral hemodynamics-ANS interactions to predict outcome, enabling identifying high-risk patients who may benefit from enhanced monitoring to prevent complications.
Methods: The first experiment aimed to predict short-term outcome using WTLCC-based convolution neural network models on the Wroclaw University Hospital (WUH) database (P = 31 with 1,079 matrices, P = 16 with 573 matrices).
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