Fosca Quarti Trevano1, Raffaella Dell'Oro1, Annalisa Biffi2,3, Gino Seravalle4, Giovanni Corrao2,3, Giuseppe Mancia4, Guido Grassi1. 1. Department of Medicine and Surgery, Clinica Medica, University of Milano-Bicocca. 2. National Centre for Healthcare Research and Pharmacoepidemiology. 3. Division of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods. 4. University of Milano-Bicocca, Milan, Italy.
Abstract
OBJECTIVE: The microneurographic technique has shown that sympathetic overactivity may characterize patients with the metabolic syndrome. However, technical and methodological limitations of the studies prevented to draw definite conclusions. The present meta-analysis evaluated 16 microneurographic studies including 650 individuals, 444 metabolic syndrome patients and 206 healthy controls, respectively. The analysis was primarily based on muscle sympathetic nerve traffic (MSNA) quantified by microneurography in metabolic syndrome. METHODS: Assessment was extended to the relationships of MSNA with an indirect neuroadrenergic marker, such as heart rate (HR), anthropometric variables, as BMI, waist-hip ratio and metabolic profile. RESULTS: Metabolic syndrome individuals displayed MSNA values (means ± SEM) significantly greater than controls (58.6 ± 4.8 versus 41.6 ± 4.1 bursts/100 heart beats, P < 0.01). This result was independent on the concomitant presence of sleep apnea and drug treatment. MSNA was directly and significantly related to clinic SBP (r = 0.91, P < 0.01) but not to BMI (r = 0.17, P = NS), whereas no significant relationship was found between MSNA and metabolic variables included in the definition of metabolic syndrome. No significant correlation was found between MSNA and HR. CONCLUSION: These data provide evidence that metabolic syndrome is characterized by a marked increase (about 30%) in MSNA. They also show that among the variables included in metabolic syndrome definition and related to the sympathetic overdrive blood pressure appears to be the most important one, at variance from what described in obesity in which metabolic and anthropometric factors play a major role. Finally in metabolic syndrome HR does not appear to represent a faithful mirror of the occurring sympathetic activation.
OBJECTIVE: The microneurographic technique has shown that sympathetic overactivity may characterize patients with the metabolic syndrome. However, technical and methodological limitations of the studies prevented to draw definite conclusions. The present meta-analysis evaluated 16 microneurographic studies including 650 individuals, 444 metabolic syndromepatients and 206 healthy controls, respectively. The analysis was primarily based on muscle sympathetic nerve traffic (MSNA) quantified by microneurography in metabolic syndrome. METHODS: Assessment was extended to the relationships of MSNA with an indirect neuroadrenergic marker, such as heart rate (HR), anthropometric variables, as BMI, waist-hip ratio and metabolic profile. RESULTS:Metabolic syndrome individuals displayed MSNA values (means ± SEM) significantly greater than controls (58.6 ± 4.8 versus 41.6 ± 4.1 bursts/100 heart beats, P < 0.01). This result was independent on the concomitant presence of sleep apnea and drug treatment. MSNA was directly and significantly related to clinic SBP (r = 0.91, P < 0.01) but not to BMI (r = 0.17, P = NS), whereas no significant relationship was found between MSNA and metabolic variables included in the definition of metabolic syndrome. No significant correlation was found between MSNA and HR. CONCLUSION: These data provide evidence that metabolic syndrome is characterized by a marked increase (about 30%) in MSNA. They also show that among the variables included in metabolic syndrome definition and related to the sympathetic overdrive blood pressure appears to be the most important one, at variance from what described in obesity in which metabolic and anthropometric factors play a major role. Finally in metabolic syndrome HR does not appear to represent a faithful mirror of the occurring sympathetic activation.
Authors: Jeremy A Bigalke; Ian M Greenlund; Jennifer R Nicevski; Anne L Tikkanen; Jason R Carter Journal: J Physiol Date: 2022-07-29 Impact factor: 6.228
Authors: Larry Scott; Anke C Fender; Arnela Saljic; Luge Li; Xiaohui Chen; Xiaolei Wang; Dominik Linz; Jilu Lang; Mathias Hohl; Darragh Twomey; Thuy T Pham; Rodrigo Diaz-Lankenau; Mihail G Chelu; Markus Kamler; Mark L Entman; George E Taffet; Prashanthan Sanders; Dobromir Dobrev; Na Li Journal: Cardiovasc Res Date: 2021-06-16 Impact factor: 10.787
Authors: Sofia K Konstantinidou; Georgia Argyrakopoulou; Nicholas Tentolouris; Vangelis Karalis; Alexander Kokkinos Journal: Exp Ther Med Date: 2021-11-23 Impact factor: 2.447
Authors: Francesco Giallauria; Teresa Strisciuglio; Gianluigi Cuomo; Anna Di Lorenzo; Andrea D'Angelo; Mario Volpicelli; Raffaele Izzo; Maria Virginia Manzi; Emanuele Barbato; Carmine Morisco Journal: High Blood Press Cardiovasc Prev Date: 2021-11-01