Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/353570
Title: The impact of metabolic syndrome and its severity on cardiac autonomic modulation and insulin resistance
Researcher: Bhagyashree N
Guide(s): Ramaswamy C
Keywords: Cardiac and Cardiovascular Systems
Clinical Medicine
Clinical Pre Clinical and Health
University: Saveetha University
Completed Date: 2017
Abstract: It is clear that the metabolic syndrome results in disorder of energy newlineutilisation and storage. Yet, the exact cause of the syndrome is not fully newlineunderstood. Furthermore, the diagnosis of the metabolic syndrome involves newlinecumbersome, expensive and time consuming processes. As the metabolic newlinesyndrome involves group of diseases, the present day treatment mainly newlinefollows symptomatic approach leading to complicated procedure resulted in newlinelarge failure. The morbidity rate of MS can be reduced drastically if a suitable newlinesimple unitary approach is developed for diagnosis of the metabolic newlinesyndrome. Hence, this study was conceived and preceded with the aim to newlinedetect a simple non-invasive procedure for the diagnosis of MS.There are evidences to show the pivotal role of ANS dysfunction in newlineconditions like various cardiac diseases, diabetes, obesity, hypertension, newlineinsulin resistance etc. Confluence of these diseases forms the metabolic newlinesyndrome. Yet, there is very little work done to correlate the cardiac newlineautonomic activity with the metabolic syndrome. Also, the uric acid level is newlineincreased not only in metabolic syndrome but also in individuals with the newlineindividual risk factors of MS. Another common factor for metabolic syndrome newlineand its risk factors is insulin resistance. Hence, it was decided to conduct a newlinecomparative study of certain physiological, lipid profile, insulin resistance and newlinecardiac autonomic modulation with the metabolic syndrome and its severity newlineand also to correlate salivary uric acid with the metabolic syndrome risk newlinefactors, insulin resistance and cardiac autonomic modulation by HRV in order newlineto identify suitable, simple and possibly non-invasive bio-marker for MS. newline
Pagination: 
URI: http://hdl.handle.net/10603/353570
Appears in Departments:Department of Physiology

Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: