{"id":690,"date":"2015-06-18T06:12:48","date_gmt":"2015-06-18T06:12:48","guid":{"rendered":"http:\/\/biomedpharmajournal.org\/?p=690"},"modified":"2020-04-25T03:10:51","modified_gmt":"2020-04-25T03:10:51","slug":"study-of-oxidative-stress-in-essential-hypertension","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol8no1\/study-of-oxidative-stress-in-essential-hypertension\/","title":{"rendered":"Study of Oxidative Stress in Essential Hypertension"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>Essential hypertension is one of the most prevalent diseases of developed Western societies and is an unequivocal risk factor for cardiovascular morbidity and mortality. The criteria for hypertension were a blood pressure measurement of systolic blood pressure \u2013SBP \u2265140 mm of Hg or Diastolic blood pressure \u2013DBP \u2265 90 mm of Hg [1]. Recently hypertension has been shown to be associated with oxidative stress, which is involved in enhanced vascular growth, vascular inflammation and impaired endothelium [2]. The mechanisms producing the oxidative stress status and its contribution to the deregulation of the factors and or mechanisms controlling normal vascular tone, and the implications in hypertension \u2013induced target organ damage by oxidative stress \u2013derived products remain to be known. This study aims at understanding the role of oxidative stress in essential hypertension.<\/p>\n<p><strong>Material and Methods<\/strong><\/p>\n<p>The present study entitled \u201cStudy of Oxidative stress in Essential Hypertension \u201chas been done in the Department of Medical Biochemistry, Gandhi Medical College, Bhopal (M.P.) in association with department of Medicine, Hamidia Hospital, Bhopal (M.P.).The study includes 50 hypertensive patients and 50 healthy sex matched controls.5 ml Fasting Blood sample was collected,2ml was collected in EDTA vial and the rest 3 ml was collected in plain vial.The blood samples were centrifuged at 3000 RPM for 10 min .After which the serum was separated for the estimation of enzyme Superoxide dismutase (SOD). Plasma was separated for the estimation of Malondialdehyde (MDA).<\/p>\n<p><strong>Measurement of Blood Pressure<\/strong><\/p>\n<p>Two readings of BP were measured on the right arm, five minutes apart with a mercury sphygmomanometer (cuff size 12.5 X 40 cm) with auscultator method of BP measurement. BP readings were confirmed in the contra lateral arm at the same time. The SBP and DBP were read to the nearest 2mm Hg. First and fifth phases of Korotkoff\u2019s sounds were taken as criteria for SBP and DBP respectively. The average of the two consecutive readings was recorded.<\/p>\n<p><strong>Estimation of Sod<\/strong><\/p>\n<p>SOD was estimated by spectrophotometric method of Mishra H.P. and Fridovich I,1972[3].In this method, the assay mixture consists of 0.5 ml sodium carbonate buffer (pH10.2),0.5 ml EDTA,0.5 ml D.W.,0.5 ml adrenaline bi tartarate are added to 0.5 ml serum. After mixing the contents absorbance is read after every 30 seconds till 5 min at 480 nm (greenish blue filter) by using spectrophotometer. Mean absorbance was calculated .The values are expressed in terms of SOD units\/mg.protein\/ml.<\/p>\n<p><strong>Estimation of Mda<\/strong><\/p>\n<p>MDA was estimated by colorimetric method of Satoch K.et al [4].In this method,2.5 ml of 20% trichloroacetic acid and 1.0 ml of 0.67% TBA are added to 0.5 ml of serum then the mixture is heated in boiling water bath for 30 min. The resulting chromogen is extracted with 4.0 ml of n-butyl alcohol and the absorbance of organic phase is determined at the wavelength of 530nm.The determined values expressed in terms of malondialdehyde (mmol\/L) used as a reference method-1,1,3,3-tetraethoxypropane.<\/p>\n<p><strong>Statistical Analysis<\/strong><\/p>\n<p>Statistical Analysis was carried out by using student\u2019s unpaired \u2018t\u2019 test<strong> .<\/strong>The p&lt;0.0001 was considered significant.<\/p>\n<p><strong>Observations<\/strong><\/p>\n<p><strong>Table 1: indicates demographic characteristics of control group and hypertensives which includes age, sex and duration of hypertension.<\/strong><\/p>\n<p><strong><strong>Table 1: Demographic Characteristics<\/strong><\/strong><\/p>\n<table width=\"95%\">\n<tbody>\n<tr>\n<td width=\"160\"><strong>Demographic characteristics<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/td>\n<td width=\"160\"><strong>Controls<\/strong><\/td>\n<td width=\"160\"><strong>Hypertensives<\/strong><\/td>\n<td width=\"160\"><strong>P value<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Age in years<\/p>\n<p>(Mean\u00b1SD)<\/td>\n<td width=\"160\">48.67\u00b17.19<\/td>\n<td width=\"160\">50.70\u00b14.87<\/td>\n<td width=\"160\">0.20<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Sex (M\/F)<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">27\/23<\/td>\n<td width=\"160\">29\/21<\/td>\n<td width=\"160\">&#8211;<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Duration of Hypertension<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">&#8211;<\/td>\n<td width=\"160\">3.83\u00b14.30<\/td>\n<td width=\"160\">&#8211;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><strong>Table 2: indicates anthropometry parameters of control group and hypertensives which includes weight, height, BMI (body mass index) and Waist-hip ratio.<\/strong><\/p>\n<p><strong>Table 2: Anthropometry Parameters<\/strong><\/p>\n<table width=\"95%\">\n<tbody>\n<tr>\n<td width=\"160\"><strong>Anthropometry<\/strong><\/p>\n<p><strong>(Mean\u00b1 SD)<\/strong><\/td>\n<td width=\"160\"><strong>Controls<\/strong><\/p>\n<p><strong>(n=50)<\/strong><\/td>\n<td width=\"160\"><strong>Hypertensives<\/strong><\/p>\n<p><strong>(n=50)<\/strong><\/td>\n<td width=\"160\"><strong>P value<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Weight (kg)<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">67.57\u00b17.39<\/td>\n<td width=\"160\">72.17\u00b16.36<\/td>\n<td width=\"160\">0.012*<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Height (cm)<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">166.70\u00b16.23<\/td>\n<td width=\"160\">164.87\u00b15.16<\/td>\n<td width=\"160\">0.220*<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 BMI(kg\/m<sup>2)<\/sup><\/p>\n<p><sup>\u00a0<\/sup><\/td>\n<td width=\"160\">24.20\u00b11.47<\/td>\n<td width=\"160\">26.49\u00b11.82<\/td>\n<td width=\"160\">0.000**<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">Waist \u2013Hip ratio<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">0.91\u00b10.02<\/td>\n<td width=\"160\">0.93\u00b10.03<\/td>\n<td width=\"160\">0.016*<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Table 3:\u00a0indicates Haemodynamics of control group and hypertensives which includes SBP (systolic blood pressure) and DBP (diastolic blood pressure)<\/strong><\/p>\n<p><strong>Table 3: \u00a0Haemodynamics<\/strong><\/p>\n<table width=\"95%\">\n<tbody>\n<tr>\n<td width=\"160\"><strong>Haemodynamics<\/strong><\/p>\n<p><strong>(Mean \u00b1 SD)<\/strong><\/td>\n<td width=\"160\"><strong>Controls<\/strong><\/p>\n<p><strong>(n=50)<\/strong><\/td>\n<td width=\"160\"><strong>Hypertensives<\/strong><\/p>\n<p><strong>(n=50)<\/strong><\/td>\n<td width=\"160\"><strong>P value<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"160\">SBP(mmHg)<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">122.00\u00b18.77<\/td>\n<td width=\"160\">142.33\u00b111.35<\/td>\n<td width=\"160\">0.000**<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">DBP(mmHg)<\/p>\n<p>&nbsp;<\/td>\n<td width=\"160\">77.67\u00b15.94<\/td>\n<td width=\"160\">94.20\u00b16.11<\/td>\n<td width=\"160\">0.000**<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Table no.4 indicates comparison of SOD and MDA between hypertensives and controls<\/p>\n<p><strong>Table No.4\u00a0\u00a0 Values In Hypertensives Compared With Control Group<\/strong><\/p>\n<table width=\"95%\">\n<tbody>\n<tr>\n<td width=\"51\"><strong>S.NO<\/strong><\/td>\n<td width=\"167\"><strong>PARAMETER<\/strong><\/td>\n<td width=\"93\"><strong>CASES MEAN\u00b1SD<\/strong><\/td>\n<td width=\"95\"><strong>CONTROL MEAN\u00b1SD<\/strong><\/td>\n<td width=\"87\"><strong>t-value<\/strong><\/td>\n<td width=\"88\"><strong>p-value<\/strong><\/td>\n<td width=\"97\"><strong>Significance<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"51\">1.<\/td>\n<td width=\"167\">SOD (enz.u.\/mg pro\/ml)<\/td>\n<td width=\"93\">6.96\u00b12.34<\/td>\n<td width=\"95\">12.8\u00b11.70<\/td>\n<td width=\"87\">14.22<\/td>\n<td width=\"88\">&lt;.0001<\/td>\n<td width=\"97\">S<\/td>\n<\/tr>\n<tr>\n<td width=\"51\">2.<\/td>\n<td width=\"167\">MDA (mmol\/L)<\/td>\n<td width=\"93\">4.01\u00b13.25<\/td>\n<td width=\"95\">2.83\u00b10.17<\/td>\n<td width=\"87\">15.47<\/td>\n<td width=\"88\">&lt;.0001<\/td>\n<td width=\"97\">S<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<table style=\"height: 36px;\" width=\"321\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-720\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2015\/11\/FIG-1-150x150.jpg\" alt=\"FIG 1\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2015\/11\/FIG-1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2015\/11\/FIG-1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2015\/11\/FIG-1.jpg 635w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td><strong>Figure 1:\u00a0<\/strong><strong>Modulation of cellular function by ROS in cardiovascular diseases[5]:<\/strong><\/p>\n<p><a href=\"http:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2015\/11\/FIG-1.jpg\" target=\"_blank\">\u00a0Click here to View figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>On extracellular stimuli enzymatically generated ROS activate resident vascular cells ,leading to altered cellular function .These changes in phenotype contribute to initiation and progression of cardiovascular diseases .EC\u2019s indicates endothelial cells :VSMC\u2019s -vascular smooth cells ,M-macrophages ,XO \u2013Xanthine oxidase ,e NOS-endothelial nitric oxide synthase, MPO \u2013myeloperoxidase, Ox LDL \u2013oxidized low density lipoprotein, TNF- tumour necrosis factor ,Ang II \u2013angiotensin\u00a0 II,VEGF-vascular endothelial growth factor ,DM- diabetes mellitus.<\/p>\n<p><strong>Results and\u00a0Discussion<\/strong><\/p>\n<p>Hypertension is a complex multifactorial disease. Hypertension is characterized by an increase in systolic and\/or diastolic blood pressure (SBP and DBP) than the upper limit of the optimal level as per the JNC (Joint National Committee) VII guidelines. In the present study, both the SBP and DBP of all the cases were significantly higher than that of controls. The findings of the present study demonstrated a strong association between blood pressure and oxidative stress parameters. The increased oxidative stress parameter levels observed in the hypertensive cases of our study is consistent with the findings of several previous studies.<\/p>\n<p>SOD level in hypertensive cases had a mean value of 6.96\u00b12.34 u\/mg protein \/ml.The difference was found to be statistically highly significant (p&lt;0.0001) when compared to controls .It signifies that an imbalance in antioxidant status suggesting oxidative stress is important in the pathogenesis of essential hypertension Aquil Ahmed et al.(2013)\u00a0 reported it to be 8.6\u00b10.04 u\/mg protein \/ml.<\/p>\n<p>MDA level in hypertensive cases had a mean value of 4.01\u00b13.25 mmol\/L .The difference was statistically highly significant (p&lt;0.0001) when compared to controls. It shows that essential hypertension is associated with greater lipoperoxidation than normal Sadan and G (2013) reported it to be 4.81\u00b13.29 mmol\/L.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>The hypertensive subjects and control subjects were matched for age and sex. The hypertensive subjects were found to have significantly higher body mass index (BMI) and waist to hip ratio (WHR).The results of the study were independent of these factors.<\/p>\n<p>The superoxide dismutase was significantly lower in the hypertensives compared to normotensive controls.<\/p>\n<p>The mean serum malondialdehyde levels were higher in hypertensives compared to normotensive controls. There was a significant negative correlation between superoxide dismutase and serum malondialdehyde levels in both controls and hypertensives.<\/p>\n<p>Estimation of oxidative stress markers (SOD &amp; MDA) is simple and inexpensive; it can be used to predict the development of atherosclerotic disease like coronary artery disease, cerebrovascular disease and renal complications associated with essential hypertension.<\/p>\n<p>Oxidative stress markers estimation may also be helpful in assessing the usefulness of antihypertensive drugs in prevention of associated complications.<\/p>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>Paul Anand M. PAI textbook of Medicine ;Epidemiology of hypertension:7<sup>th<\/sup> edition. Association of physicians of India, Mumbai: 2003:452<\/li>\n<li>Kumar CA,Das UN .Oxidative stress in preeclampsia and essential hypertension. Journal of association of physicians of India;2002,50:1372-1375.<\/li>\n<li>Mc Cord JM,Fridovich I. Superoxide dismutase an enzymatic function for erythrocuprein hemocuprein.J Biol Chem.1969;244:6049-55.<\/li>\n<li>Philpot J.Assay for MDA levels.Rad Res.1963;3;3:55-80.<\/li>\n<li>Yoshihiro T,Griendling KK ,Reactive oxygen species in the vasculature \u2013molecular and cellular mechanisms .Hypertension .2003;42:1075-1081.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Essential hypertension is one of the most prevalent diseases  [&#8230;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-690","post","type-post","status-publish","format-standard","hentry","category-vol8no1"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/690","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=690"}],"version-history":[{"count":6,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/690\/revisions"}],"predecessor-version":[{"id":32841,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/690\/revisions\/32841"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=690"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=690"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=690"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}