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ORIGINAL ARTICLE
J Res Med Sci 2021,  26:6

Oxidant/antioxidant status in Type-2 diabetes mellitus patients with metabolic syndrome


Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran

Date of Submission09-Apr-2020
Date of Decision26-May-2020
Date of Acceptance18-Aug-2020
Date of Web Publication28-Jan-2021

Correspondence Address:
Dr. Fouzieh Zadhoush
Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jrms.JRMS_249_20

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  Abstract 


Background: The concurrence of metabolic syndrome (MS) and diabetes mellitus (DM) is increasing worldwide. The long-term complications of these chronic diseases are a threat to patients' well-being. Oxidative stress is involved in the pathogenesis of several diseases. To understand the basic pathophysiological mechanisms of Type-2 DM (T2DM) and its related complications, we aimed to investigate the oxidant/antioxidant status and Na+-K+ ATPase activity in T2DM with MS. Materials and Methods: A population of ninety individuals including fifty patients diagnosed with T2DM and MS, but without overt diabetes complications, and forty individuals without T2DM or MS as control group participated in this study. Plasma malondialdehyde (MDA), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx) activities, total antioxidant capacity (TAC), and Na+-K+ ATPase activity were assessed by standard laboratory methods. Results: Plasma MDA in patients group was statistically significantly higher than that of controls (P ≤ 0.05). Whereas, Na+-K+ ATPase activity was statistically significantly lower in patient group (P ≤ 0.05). TAC, CAT, SOD, and GPx enzyme activities were not statistically significantly different between two groups (P > 0.05). Results from the patient group showed positive correlations between CAT activity and triglyceride and positive correlations between GPx activity and weight, body mass index (BMI), and waist circumference. In addition, there was a positive correlation between MDA results with high-density lipoprotein-cholesterol (HDL-C) and total cholesterol and a negative correlation with TAC, BMI, and weight (P ≤ 0.05) in controls. Conclusion: Because T2DM patients were without any vascular complications, antioxidant defense results may reflect the lack of progression of diabetes complications in these patients. These results emphasize the need for initial and continued assessment of cardiovascular disease risks in diabetic individuals. Implementation of timely interventions may improve the management of diabetes and prevent the progression of diabetes complications.

Keywords: Diabetes mellitus Type 2, metabolic syndrome, oxidative stress, sodium-potassium-exchanging ATPase


How to cite this article:
Najafi A, Pourfarzam M, Zadhoush F. Oxidant/antioxidant status in Type-2 diabetes mellitus patients with metabolic syndrome. J Res Med Sci 2021;26:6

How to cite this URL:
Najafi A, Pourfarzam M, Zadhoush F. Oxidant/antioxidant status in Type-2 diabetes mellitus patients with metabolic syndrome. J Res Med Sci [serial online] 2021 [cited 2021 Jun 23];26:6. Available from: https://www.jmsjournal.net/text.asp?2021/26/1/6/308223




  Introduction Top


Type 2 diabetes mellitus (T2DM) refers to metabolic dysregulations recognized by chronic hyperglycemia along with carbohydrate, lipid, and protein metabolism disorders. According to International Diabetes Federation reports, the global number of people with diabetes would increase to 592 million people by 2035. It has been estimated that the prevalence of diabetes in Iran would increase from 8.4% of the total national population in 2013 to 12.3% in 2035.[1] Metabolic syndrome (MS) is described by adverse cardiometabolic risk factors which increase the risk of developing T2DM and cardiovascular disease.[2] Recent findings suggest an emerging high prevalence of MS among the Iranian middleaged population, which is significantly higher than those reported for the general population of Iran.[3]

A possible role of oxidative stress in concurrent T2DM and MS has been investigated. In fact, progression of insulin resistance (IR), β-cell dysfunction, mitochondrial dysfunction, and diabetes complications are among disorders that have been related to oxidative stress.[4] Oxidative stress is defined as an imbalance between oxidant species production, such as reactive oxygen species (ROS) and reactive nitrogen species and enzymatic and nonenzymatic antioxidant system protection capability. Oxidative stress causes damage to tissues and cells by molecular alteration of cell components. Association of raised oxidative stress with cardiovascular, metabolic, inflammatory, and neurodegenerative disorders is well established.[5]

Antioxidant defense systems include enzymatic and nonenzymatic antioxidants. Non-enzymatic ROS scavengers include glutathione; Vitamins A, C, and E; and several antioxidants present in the diet. Enzymatic antioxidant defense systems include superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). In addition, malondialdehyde (MDA) is an end product of lipid peroxidation, which is a marker of oxidative stress.[6]

Free radicals and lipid peroxidation alter the cellular structure of membrane-bound proteins by changing phospholipids and fatty acid composition. In addition, chronic hyperglycemia may alter the glycosylation state of membrane-bound glycosylated proteins, resulting in decreased protein activity.[7] One of the major membrane-bound enzymes which regulate the balance of electrolytes is Na+-K+ ATPase which is associated with insulin action. Alteration of this enzyme is thought to be linked to several complications of DM.[8]

In this study, we aimed to provide further insights into the basic pathophysiological mechanisms of T2DM and its related complications by investigating the changes in oxidative status, erythrocyte membrane, and blood lipid profile in a group of Iranian patients with concurrent T2DM and MS, through determining antioxidant status and estimating erythrocyte Na+-K+ ATPase enzyme activity. This may be exploited to improve the management of consequences of these diseases.


  Materials and Methods Top


Study population

The study included fifty recently diagnosed T2DM patients with concurrence MS and forty sex- and age-matched normoglycemic apparently healthy controls. Diagnosis of diabetes was established based on the criteria proposed by the American Diabetes Association (fasting glucose ≥126 mg/dL or 2 h postprandial glucose ≥200 mg/dL, or if they were taking oral anti-diabetic medication but not insulin).[9] Oral antidiabetic medications for T2DM patients were metformin or combined formulations of metformin/glibenclamide. MS was defined according to the NCEP Adult Treatment Panel III (ATP III). According to ATPIII criteria, a patient is classified as having MS when three or more of the following risk determinants are present: hyperglycemia (fasting plasma glucose ≥100 mg/dL), hypertriglyceridemia (triglyceride ≥150 mg/dL), low high density lipoprotein-cholesterol (HDL-C <40 mg/dL for men and <50 mg/dL for women), blood pressure elevation (≥130/85 mmHg), and increased waist circumference (WC ≥ 102 cm for men and ≥ 88 cm for women).[10] Individuals taking medications known to influence the Na+-K+ ATPase enzyme activity, lipid-lowering agents, insulin, or smoking cigarettes or other tobacco products were excluded from the study.[11] However, oral antidiabetic medications were acceptable. Written informed consent was obtained from each participant, and the study was approved by the Ethics Committee of Isfahan University of Medical Sciences.

Anthropometric measurements and blood pressure

The participants' weight, height, WC (at umbilicus) and hip circumference (HC) (at widest point), waist/hip circumference ratio (WHR), and body mass index (BMI) were measured according to standard conditions. The means of systolic and diastolic blood pressure (SBP and DBP), which determined three times by a single person at 2–5 min intervals, were considered as the blood pressure.

Blood collection and processing

After at least 10 h overnight fasting, venous blood samples were collected in heparinized, ethylenediaminetetraacetic acid (EDTA), and plain test tubes. The blood samples were centrifuged at 1500 × g at 25°C for 10 min, and then serum and plasma were separated into plain test tubes. Serum samples were processed for fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), HDL-C, fasting insulin (FINS), and high-sensitivity C-reactive protein (hs-CRP) measurement. EDTA blood samples were used for hemoglobin A1c (HbA1c) determination. Heparinized blood samples were used for the preparation of washed packed erythrocytes to measure membrane Na+-K+ ATPase activity and protein concentration.

Biochemical assays

FBG was measured by enzymatic colorimetric method using glucose oxidase test (Parsazmun, Alborz, Iran). HbA1c was analyzed by immunoturbidimetric latex method using kit (Parsazmun, Alborz, Iran), and hs-CRP was measured with a latex-enhanced immunoturbidimetric assay using an automated analyzer (Parsazmun, Alborz, Iran). Serum TC, TG, and HDL-C were determined by enzymatic methods using a Hitachi 902 automated analyzer (Parsazmun, Alborz, Iran). Serum LDL-C was calculated using Friedewald's formula. If serum TG concentration was >400 mg/dL, LDL-C was determined directly by enzymatic method using the commercial kit (Parsazmun, Alborz, Iran). Serum FINS was measured using enzyme-linked immunosorbent assay kit according to manufacturer's instructions (Monobind, California, USA). IR was estimated using the HOMA-IR index according to the following formula: HOMA-IR = Fasting serum insulin (μU/mL) × fasting plasma glucose (mmol/L)/22.5.[12]

Plasma malondialdehyde assay

Plasma MDA was assessed using a commercial assay kit (Kiazist, Hamedan, Iran). Briefly, reaction between MDA and thiobarbituric acid in 95°C produces a colored complex assessable at 540 nm. Plasma MDA concentration was calculated by reference to a standard curve. The results are reported as nmol/ml.

Plasma total antioxidant capacity assay

Plasma total antioxidant capacity (TAC) was assessed by commercial kit (Kiazist, Hamedan, Iran). The assay is based on the reduction of Cu + 2 by plasma antioxidants to Cu + 1 in the presence of a chromogen reagent to produce a colored complex which is measured at 450 nm. Plasma TAC value was estimated by reference to Trolox standard curve. The results are reported as nmol of trolox equivalent/mL.

Plasma superoxide dismutase activity assay

Plasma SOD activity was estimated using a commercial kit (Kiazist, Hamedan, Iran). Briefly, resazurin reagent is used for the detection of superoxide radicals generated by xanthine oxidase by colorimetric evaluation at 570 nm. The results are reported as U/mL of SOD activity.

Plasma catalase activity assay

Plasma CAT activity was assessed using a commercial assay kit (Kiazist, Hamedan, Iran). Briefly, reaction of enzyme with methanol yields formaldehyde which reacts with purpald dye to produce a colored complex measurable at 570 nm. The results are reported as mU/mL of CAT activity.

Plasma glutathione peroxidase activity assay

The GPx activity was assessed using a commercial assay kit (ZellBio, Germany). Briefly, the enzyme converts glutathione to oxidized glutathione. The remaining glutathione then reduces 5,5-dithio bis (2-nitrobenzoic acid) or DTNB to generate a yellow color measured at 412 nm. The GPx activity (U/mL) of the samples is indirectly proportional to the color intensity.

Erythrocyte ghost preparation and Na+-K+ ATPase activity measurement

Erythrocyte packed cells were suspended and lysed by 10 volumes of ice-cold 5 mM Tris/0.1 mM Na2 EDTA, pH 7.6. After centrifugation at 20,000 × g for 20 min at 4°C, the supernatant was discarded and the pellet was washed three times in 0.017 M NaCl/5 mM Tris-HCl, (pH 7.6) and three times with 10 mM Tris-HCl (pH 7.5). Erythrocyte ghost was resuspended in 10 mM Tris-HCl buffer (pH 7.5). Erythrocyte membrane protein was measured according to the modified method of Markwell et al. based on the reaction of the Folin–Ciocalteu reagent with protein by using bovine serum albumin as standard[13] protein concentration. The erythrocyte membrane total ATPase activity was determined as it was described previously.[14] A volume of 50 μl erythrocyte membrane suspension was incubated with 5 mmol/L ATP, 25 mmol/L KCl, 75 mmol/L NaCl, 5 mmol/L MgCl2, 0.1 mmol/L EGTA, and 25 mmol/L Tris-HCl (pH 7.5) in a total volume of 500 μl for 90 min at 37°C. The reaction was inhibited by adding trichloroacetic acid to a final concentration of 5% (w/v). After centrifugation for 20 min at 1500 × g, a supernatant aliquot was used to measure total inorganic phosphorus amount liberated by Fiske and Subbarow reaction.[15] The assay was repeated in 1 mmol/L ouabain presence, an inhibitor of Na+-K+ ATPase activity. Total ATPase activity was reported as μmol of inorganic phosphorus liberated per milligram of membrane protein per hour. Na+-K+ ATPase activity subsequently determined by subtracting the ATPase activity in ouabain presence from the total Na+-K+ ATPase activity in ouabain absence.

Statistical analysis

Data were expressed as mean ± standard deviation. IBM SPSS Statistics for Windows, Version 20.0 (Armonk, NY: IBM Corp.) was utilized for all statistical analyses. The normal variable distribution was checked by Kolmogorov–Smirnov test. Baseline characteristics of controls and cases were compared using independent sample t-tests for continuous variables and Mann–Whitney U-test for nonparametric variables. The equality of variances was calculated with the Levene's test. The bivariate correlations between quantitative variables were determined by the Pearson's correlation (for parametric data) and Spearman's test (for nonparametric data). P < 0.05 were considered statistically significant.


  Results Top


Characteristics of the study participants

The patient group had statistically significantly higher weight, WC, HC, WHR, BMI, SBP, DBP, insulin, FBG, HbA1c, HOMA-IR, and TG and lower HDL-C levels in comparison to control group (P < 0.05). No statistically significant differences (P > 0.05) in the serum levels of hs-CRP, LDL-C, and TC were observed between the two groups of study [Table 1].
Table 1: Characteristics of the study participants

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Systemic oxidative stress

Plasma MDA levels were statistically significantly elevated (P < 0.05) in patients. In contrast, we did not find any statistically significant differences (P > 0.05) in plasma CAT, SOD, and GPx activities and TAC value between the two groups [Table 2].
Table 2: Oxidative stress markers and Na+/K+ATPase activity of the study participants (n=90)

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SOD activity correlated positively with CAT in the control group (P = 0.004) and in all the individuals (P = 0.046). In addition, in patient group, TAC correlates positively with MDA levels (P = 0.025) (data are not shown).

Erythrocyte Na+-K+ ATPase activity

Statistically significant decrease (P = 0.019) in erythrocyte membrane Na+-K+ ATPase activity (20.3%) was observed in patients compared to control group [Table 2].

Relationships between individual characteristics, insulin resistance, oxidative stress markers, and Na+-K+ ATPase activity

Bivariate Pearson's correlation between the study participants' main characteristics is summarized in [Table 3]. CAT activity correlated positively with TG levels in patients and all participants. GPx activity represented a positive correlation with weight, BMI, and WC in patient group and close to significance correlation with HDL-C and TC levels in all participants. MDA had positively correlated with HDL-C and TC and negatively correlated with WC and BMI in the control group. No correlation was observed between any of the oxidative stress markers and HOMA-IR. In addition, Na+-K+ ATPase activity did not indicate any association with IR and MS components and oxidative stress markers (data are not shown).
Table 3: Pearson's correlation coefficient between characteristics in all the participants

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  Discussion Top


In the present study, plasma levels of MS components including SBP, FBG, WC, TG, and HDL-C level, in addition to HOMA-IR and BMI, showed significant differences between the study groups [Table 1]. Ruderman et al. showed the association of IR with some MS components, including FBG, obesity, dyslipidemia, and hypertension.[16] Consistent with this study, we obtained significantly positive correlations between HOMA-IR and TG, WC, BMI, and hs-CRP and a significantly negative correlation with HDL-C in all participants. In addition, in patient group, there was a significant positive correlation between HOMA-IR and hs-CRP, which acts as an independent risk factor of cardiovascular disease.[11]

Oxidative stress has been investigated in metabolic disorders in a number of studies. Evidences suggest that oxidative stress is associated with DM, both in pre-diabetes state and clinical phase. IR, β-cell dysfunction, and mitochondrial dysfunction are among complications linked with oxidative environment created in diabetes.[4] Concurrent T2DM and MS has a relationship with the augmentation of oxidative stress. Hyperglycemia, hyperinsulinemia, and elevated free fatty acids can induce ROS production.[17],[18]

During diabetes state, levels of superoxide ion (O2•–) increase in several tissues because of hyperglycemia and hyperlipidemia. Indeed, O2•– is known as one of the hallmarks of diabetes.[19] O2•– is also responsible for low bioavailability of nitric oxide. Oxidative stress has reported to intensify in MS cases.[20] In addition, a considerably amplified number of neutrophils, lymphocytes, monocytes, and eosinophils, caused by MS, are observed in T2DM patients with MS.[21] Activation of immune cells consequently may produce high level of ROS, which erode lipids, proteins, and nucleic acids.

In this study, plasma MDA, a lipid peroxidation marker, was significantly elevated in patient group compared to controls. Although there were negative correlations between MDA and BMI, and weight and positive correlation with HDL-C and TC in control group, such a correlation was not obvious among patient group or in all participants.

Furthermore, no significant difference was observed in TAC, SOD, CAT, and GPx activites between two groups. According to our study design, patients participated in the study were without diabetes complications. Because oxidative stress markers in T2DM patients with micro- and macrovascular complications show significant difference in comparison to those without complications,[22] oxidative stress status potentially associates with complication occurrence.

Investigation of antioxidant enzymes' relationship with aging and diseases in human studies has resulted in inconsistent data. Although association of antioxidant enzymes polymorphism with T2DM suggested by meta-analyses, reduced or increased activities (or levels) of SOD, CAT and GPx have been reported in these diseases.[6] In a previous study, Cardona et al., despite a difference in GPx activity in serum sample of MS patients with controls, did not observe difference between SOD and CAT activity results.[23] In a study performed in Iran, it was found that serum SOD activity significantly decreased in patients with MS, but not significantly different in persons with high body fat percentage and those with DM.[24] In another study, serum SOD activity of MS cases was lower than that of control group, but GPx activity did not indicate any significant difference.[25] While a study performed in Nigeria found SOD and GPx activities decreased and MDA elevated in MS Patients, CAT activity remained unchanged.[26] In an obese and diabetic mouse model, activity and expression of CAT, SOD, and GPx were lower in the adipose tissue compared to control group. However, the results were unchanged in skeleton muscles and liver.[27]

Compensatory upregulation of antioxidant enzymes has been suggested as a response to elevated oxidative stress. Regarding T2DM patients, increased MDA levels were found simultaneously with higher CAT and/or SOD activities. Moreover, unchanged or reduced CAT and/or GPX and elevated SOD activities and lipid peroxidation markers were reported.[6]

We found a significant reduction in erythrocyte membrane Na+-K+ ATPase activity in patient group compared to controls. Previously, Jain et al. showed that incubation of human red blood cells (RBCs) in higher glucose concentration leads to decreased Na+-K+ ATPase activity, increased lipid peroxidation, and protein glycosylation of RBC membranes in vitro.[7] Lipid peroxidation products and ROS potentially cause protein oxidative damage and decrease the enzyme activity.[11] Reduced Na+-K+ ATPase activity induced by diabetes may be involved in the pathogenesis of diabetes complications. Nonetheless, we did not find any correlation between MS component with Na+-K+ ATPase enzyme activity.

In the present study, no significant association was found between Na+-K+ ATPase activity and oxidative stress markers in the study groups. However, a statistically significant negative correlation was observed between MDA and TAC in the control group (r = −0. 361, P = 0.03).

Finally, there are some limitations to our study. Participants should be assessed for natural antioxidant consumption supplied by their diet. Studies on Mediterranean-style diet intervention demonstrate effects on reducing oxidative stress and IR in MS patients.[28] In addition, determination of Iranian dietary antioxidants intake could contribute in evaluating redox system more specifically. According to the signaling function of Na+-K+ ATPase, association of signaling components and the enzyme with redox system and metabolic disorders should be investigated.


  Conclusion Top


Because the diabetic patients in our study were without any complications of DM, it seems that their antioxidant status did not have significant difference with the control group. Due to the potential association of complications of DM with undermining antioxidant protection, these results highlight the early diagnostic importance of DM and MS.

Acknowledgments

The authors thank all of the patients who participated in this study.

Financial support and sponsorship

This study was supported by grants from Isfahan University of Medical Sciences (grant no. 397683).

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract 2014;103:137-49.  Back to cited text no. 1
    
2.
Goli P, Riahi R, Daniali SS, Pourmirzaei M, Kelishadi R. Association of serum uric acid concentration with components of pediatric metabolic syndrome: A systematic review and meta-analysis. J Res Med Sci 2020;25:43.  Back to cited text no. 2
  [Full text]  
3.
Ebrahimi H, Emamian MH, Khosravi A, Hashemi H, Fotouhi A. Comparison of the accuracy of three diagnostic criteria and estimating the prevalence of metabolic syndrome: A latent class analysis. J Res Med Sci 2019;24:108.  Back to cited text no. 3
[PUBMED]  [Full text]  
4.
Newsholme P, Keane KN, Carlessi R, Cruzat V. Oxidative stress pathways in pancreatic β-cells and insulin-sensitive cells and tissues: Importance to cell metabolism, function, and dysfunction. Am J PhysiolCell Physiol 2019;317:C420-33.  Back to cited text no. 4
    
5.
Incalza MA, D'Oria R, Natalicchio A, Perrini S, Laviola L, Giorgino F. Oxidative stress and reactive oxygen species in endothelial dysfunction associated with cardiovascular and metabolic diseases. Vascul Pharmacol 2018;100:1-9.  Back to cited text no. 5
    
6.
Marrocco I, Altieri F, Peluso I. Measurement and clinical significance of biomarkers of oxidative stress in humans. Oxidative medicine and cellular longevity. 2017 Jan 1;2017.  Back to cited text no. 6
    
7.
Jain SK, Lim G. Lipoic acid decreases lipid peroxidation and protein glycosylation and increases (Na(+)+K(+))- and Ca(++)-ATPase activities in high glucose-treated human erythrocytes. Free Radic Biol Med 2000;29:1122-8.  Back to cited text no. 7
    
8.
Shahid SM, Rafique R, Mahboob T. Electrolytes and sodium transport mechanism in diabetes mellitus. Pak J Pharm Sci 2005;18:6-10.  Back to cited text no. 8
    
9.
American Diabetes Association. 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes – 2019. Diabetes Care 2019;42:S13-28.  Back to cited text no. 9
    
10.
Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001;285:2486-97.  Back to cited text no. 10
    
11.
Zadhoush F, Sadeghi M, Pourfarzam M. Biochemical changes in blood of type 2 diabetes with and without metabolic syndrome and their association with metabolic syndrome components. J Res Med Sci 2015;20:763-70.  Back to cited text no. 11
[PUBMED]  [Full text]  
12.
Pourfarzam M, Zadhoush F, Sadeghi M. The difference in correlation between insulin resistance index and chronic inflammation in type 2 diabetes with and without metabolic syndrome. Adv Biomed Res 2016;5:153.  Back to cited text no. 12
[PUBMED]  [Full text]  
13.
Markwell MA, Haas SM, Bieber LL, Tolbert NE. A modification of the Lowry procedure to simplify protein determination in membrane and lipoprotein samples. Anal Biochem 1978;87:206-10.  Back to cited text no. 13
    
14.
Namazi G, Jamshidi Rad S, Attar AM, Sarrafzadegan N, Sadeghi M, Naderi G, et al. Increased membrane lipid peroxidation and decreased Na+/K+-ATPase activity in erythrocytes of patients with stable coronary artery disease. Coron Artery Dis 2015;26:239-44.  Back to cited text no. 14
    
15.
Fiske CH, Subbarow Y. The colorimetric determination of phosphorus. J Biol Chem 1925;66:375-400.  Back to cited text no. 15
    
16.
Ruderman NB, Carling D, Prentki M, Cacicedo JM. AMPK, insulin resistance, and the metabolic syndrome. J Clin Invest 2013;123:2764-72.  Back to cited text no. 16
    
17.
Gao CL, Zhu C, Zhao YP, Chen XH, Ji CB, Zhang CM, et al. Mitochondrial dysfunction is induced by high levels of glucose and free fatty acids in 3T3-L1 adipocytes. Mol Cell Endocrinol 2010;320:25-33.  Back to cited text no. 17
    
18.
Yang M, Kahn AM. Insulin-stimulated NADH/NAD+redox state increases NAD (P) H oxidase activity in cultured rat vascular smooth muscle cells. Am J Hypertens 2006;19:587-92.  Back to cited text no. 18
    
19.
Egea J, Fabregat I, Frapart YM, Ghezzi P, Görlach A, Kietzmann T, et al. European contribution to the study of ROS: A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS). Redox Biol 2017;13:94-162.  Back to cited text no. 19
    
20.
Ferder L, Inserra F, Martínez-Maldonado M. Inflammation and the metabolic syndrome: Role of angiotensin II and oxidative stress. Curr Hypertens Rep 2006;8:191-8.  Back to cited text no. 20
    
21.
Shim WS, Kim HJ, Kang ES, Ahn CW, Lim SK, Lee HC, et al. The association of total and differential white blood cell count with metabolic syndrome in type 2 diabetic patients. Diabetes Res Clin Pract 2006;73:284-91.  Back to cited text no. 21
    
22.
Bigagli E, Lodovici M. Circulating oxidative stress biomarkers in clinical studies on type 2 diabetes and its complications. Oxidative Medicine and Cellular Longevity. 2019 May 12;2019.  Back to cited text no. 22
    
23.
Cardona F, Túnez I, Tasset I, Montilla P, Collantes E, Tinahones FJ. Fat overload aggravates oxidative stress in patients with the metabolic syndrome. Eur J Clin Invest 2008;38:510-5.  Back to cited text no. 23
    
24.
Darroudi S, Fereydouni N, Tayefi M, Ahmadnezhad M, Zamani P, Tayefi B, et al. Oxidative stress and inflammation, two features associated with a high percentage body fat, and that may lead to diabetes mellitus and metabolic syndrome. Biofactors 2019;45:35-42.  Back to cited text no. 24
    
25.
Yokota T, Kinugawa S, Yamato M, Hirabayashi K, Suga T, Takada S, et al. Systemic oxidative stress is associated with lower aerobic capacity and impaired skeletal muscle energy metabolism in patients with metabolic syndrome. Diabetes Care 2013;36:1341-6.  Back to cited text no. 25
    
26.
Sabir AA, Bilbis LS, Saidu Y, Jimoh A, Iwuala SO, Isezuo SA, et al. Oxidative stress among subjects with metabolic syndrome in Sokoto, North-Western Nigeria. Niger J Clin Pract 2016;19:128-32.  Back to cited text no. 26
[PUBMED]  [Full text]  
27.
Furukawa S, Fujita T, Shimabukuro M, Iwaki M, Yamada Y, Nakajima Y, et al. Increased oxidative stress in obesity and its impact on metabolic syndrome. J Clin Invest 2004;114:1752-61.  Back to cited text no. 27
    
28.
Esposito K, Marfella R, Ciotola M, Di Palo C, Giugliano F, Giugliano G, et al. Effect of a Mediterranean-style diet on endothelial dysfunction and markers of vascular inflammation in the metabolic syndrome: A randomized trial. JAMA 2004;292:1440-6.  Back to cited text no. 28
    



 
 
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