Journal of Medical Sciences and Health
DOI: 10.46347/jmsh.2020.v06i02.002
Year: 2020, Volume: 6, Issue: 2, Pages: 8-13
Original Article
Seema S Chawhan1, M R Mogarekar2, Rajesh K Jambhulkar1, Sanjay M Chawhan3
1Assistant Professor, Department of Biochemistry, Government Medical College, Nagpur, Maharashtra, India,
2Professor and Head, Department of Biochemistry, Swami Ramanand Teerth Rural Medical College, Ambajogai, Maharashtra, India,
3Associate Professor, Department of Pathology, Government Medical College, Gondia, Maharashtra, India
Address for correspondence:
Dr. Seema S Chawhan, 59, Bajrang Nagar, Lane No. - 5, Manewada Road, Nagpur - 440 027, Maharashtra, India. Phone: +91-9511878582. E-mail: [email protected]
Background: Paraoxonase2 (PON2) is an intracellular protein and widely present in many tissues such as endothelial cell and heart. It plays a major role in prevention of low-density lipoprotein (LDL) oxidation and reverses mildly oxidized LDL. PON2 plays an important role in antioxidation, antiatherosclerotic, and anti- inflammatory function. The oxidative stress leading to ischemic cell death involves the formation of reactive oxygen species/reactive nitrogen species through multiple injury mechanism.
Aim: The aim of our study was to assess and correlate monocytic PON2 activity, lipid profile, and total oxidative stress in patients with ischemic stroke.
Materials and Methods: The study population was included 50 ischemic stroke patients as cases and 50 healthy controls. The monocytic PON2 was measured spectrophotometrically using dihydrocoumarin as substrate. Serum lipid profile was estimated by established biochemical methods.
Results:The monocytic PON2 activity showed significant decrease in case (P < 0.001) while total oxidative stress showed significantly increases in cases (P < 0.001). Serum total cholesterol is significantly increases in cases (P value < 0.001) and serum HDL showed significant decrease in case (P < 0.005). Monocytic PON2 activity is significantly correlated with total oxidative stress (TOS) P =0.000). Multivariate logistic regression analysis used for prediction of risk of ischemic stroke contributed by various risk factor. The basic Model I shows significant P value and Naglekerke R2 value is 0.479. When PON2 activity is added to the basic model in the Model II, Naglekerke R2 value changes from 0.479 to 0.522, it also shows independent association of PON2 activity towards ischemic stroke. In linear regression analysis, significant positive correlation observed between PON2 and Ischemic stroke. PON2 lactonase activity was negatively correlated with total oxidative stress.
Conclusion: Our study strongly suggests that the estimation monocytic PON2 and total oxidative stress give valuable information for prediction of risk of ischemic stroke due to cerebrovascular thromboembolism and may consider as risk factors.
KEY WORDS:Paraoxonase 2, total oxidative stress, lipid profile, ischemic stroke.
IntroductionIschemic stroke is the cessation of blood flow in arteries lasts for more than a few minutes’ which leads to infarction or death of brain tissues. The arteries are blocked due to blood clot or an atheromatous plaque. Atherosclerosis is the most common pathological feature of vascular obstruction resulting in thrombotic stroke.[1] The arterial occlusion leads to the neuronal cell death. The cascade after cerebral ischemia involves the variety of complex pathophysiological mechanisms in which chronic inflammation plays an important role. The resulting inflammation leads to tissue injury which then activates different pro-inflammatory mediators.[2] The formation of ox-low-density lipoprotein (LDL) plays a most important role in the pathogenesis of atherosclerosis and is an initiating event of fatty streak or plaque.[3] The activated macrophages also produce reactive oxygen species that aggravate LDL oxidation and produce growth factor which leads to smooth muscle cell proliferation and promotes cell death or apoptosis.[2] The mechanism of cerebral ischemia is shown in Figure 1. Materials and MethodsStudy design – This was a hospital-based cross- sectional case–control study
Procedure
Calculation:
Lactonase activity (U/mg of cell protein) = ΔA /min × 155.212Total oxidative status (TOS) assay[12] Principle Oxidants present in the sample oxidize the ferrous ion-o-dianisidine complexes into ferric ions. The reaction is enhanced by glycerol molecules that are abundantly present in the reaction medium. The ferric ions form a colored complex with xylenol orange in an acidic medium. Therefore, the color intensity measured spectrophotometrically is related to the total number of oxidant molecules present in the sample. The assay is calibrated with hydrogen peroxide and the results are expressed in terms of micromolar hydrogen peroxide equivalent per liter (μmol H2O2 equiv./L). Statistical analysis Results are presented as mean ± standard deviation. Student’s unpaired t-test used for statistical analysis between cases and controls. The strength of association between two parameters is expressed by the Pearson’s correlation coefficient. The logistic regression analysis is used for prediction of risk of ischemic stroke contributed by various risk factors. At each step, variable not in the model is assessed for its contribution to the model reflected by the Nagelkerke R2 value and P value of the model. The two models prepared in the logistic regression for the analysis of data are as follows: Model I: TC, HDL-C, LDL-C, and TOS (known risk factors). Model II: All parameters in Model I + PON2 activity. Odds ratio and 95% confidence intervals are calculated. P < 0.05 is considered as statistically significant. All analyses are carried out with the statistical software.
RESULTSIn Table 1, age and gender distribution of cases and control is shown. In Table 2, serum levels of total cholesterol and LDL-C are higher in cases than in controls and are statistically significant. Serum TG and very low-density lipoprotein (VLDL) levels are higher in cases but not significant. However, serum HDL-C levels are decreased significantly in ischemic stroke patients when compared with control group. Monocytic PON2 activity also showed significant decrease in cases (1.496 ± 1.080 U/mg) as compared to control group (2.789 ± 1.984 U/mg). Total oxidative stress showed significant increase in cases (28.71 ± 8.92 μmoles H2O2 equiv/L) as compared to control group (20.63 ± 8.71 μmoles H2O2 equiv/L). Monocytic PON2 activity is significantly correlated with total oxidative stress (TOS) (Figure 2 correlation coefficient – −0.326, P = 0.000). DiscussionThe present case–control study was carried out in Government Medical College and Hospital. A total of 50 diagnosed cases of ischemic stroke admitted were recruited in this study and 50 normal healthy control subjects of matched age and sex were taken for comparison. The aim of present study was to determine the relation of PON2 enzyme activity and total oxidative stress with the ischemic stroke patients. The parameters studied were monocytic PON2 activity, total oxidative stress, and lipid profile. |
ConclusionFrom this study, we conclude that PON2 lactonase monocytic PON2 and total oxidative stress gives valuable information for prediction of risk of ischemic stroke. In future, further more studies are required for the assessment and effect of PON2 and TOS in ischemic stroke. |
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