|Year : 2017 | Volume
| Issue : 2 | Page : 88-93
Study of lipid peroxidation, nitric oxide end product, and trace element status in type 2 diabetes mellitus with and without complications
Sanjukta Mishra1, Bana Bihari Mishra2
1 Department of Biochemistry, Kalinga Institute of Medical Science, Bhubaneswar, Odisha, India
2 Department of Cardiothoracic Vascular Surgery, Kalinga Institute of Medical Science, Bhubaneswar, Odisha, India
|Date of Submission||04-Apr-2016|
|Date of Acceptance||08-Dec-2016|
|Date of Web Publication||8-May-2017|
N5-354, IRC Village, Nayapalli, Bhubaneswar - 751 015, Odisha
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Oxidative stress has become a real entity in etiopathogenesis of Type 2 diabetes mellitus (DM). It may result from steady flux of free radicals and lipid peroxides in vivo. Malondialdehyde (MDA) is a stable end product of lipid peroxidation. Accumulative evidences suggest that hyperglycemia in Type 2 DM can produce major changes in nitric oxide (NO) production as well as in its action. Alteration in metabolism of trace elements is also observed in DM. Objective: To evaluate oxidative stress, status of NO, and trace elements zinc (Zn) and magnesium (Mg) in type 2 DM and to correlate these parameters with disease process. Materials and Methods: Ninety-two cases with diabetes were included in the study, out of which 51 were type 2 DM without any complication and 41 were type 2 DM with complications. Fifty-one nondiabetic healthy controls from hospital staff were selected for the study. Blood samples were collected after an overnight fast for estimation of fasting plasma glucose, postprandial glucose, glycated hemoglobin (HbA1c), lipid profile, trace element status, MDA, and NO. Results: Study revealed a rise in MDA levels in both uncomplicated and complicated cases with diabetes (2.47 ± 0.53, 3.98 ± 0.42 nmol/ml, respectively) as compared to controls (1.43 ± 0.23 nmol/ml), which was statistically significant (P < 0.05). The mean levels of NO, Zn, and Mg were significantly lower in both the diabetic groups than the control group (P < 0.05). MDA showed a significant positive correlation with plasma glucose, lipid profile parameters (except high-density lipoprotein cholesterol), and significant negative correlation with Zn (r = −0.44, P< 0.05) and Mg (r = −0.31, P< 0.05). NO levels were correlated significantly with plasma glucose, dyslipidemia, and HbA1c (P < 0.05). The effects of glycemic status on trace element concentrations were evident from a significant negative correlation between Zn and Mg with fasting plasma glucose and HbA1c. Conclusion: Findings of the present study may establish the role of hyperglycemia, oxidative stress, impaired NO, and trace elements in pathogenesis and long-term vascular complications of type 2 DM.
Keywords: Lipid peroxidation, malondialdehyde, nitric oxide, oxidative stress, trace element
|How to cite this article:|
Mishra S, Mishra BB. Study of lipid peroxidation, nitric oxide end product, and trace element status in type 2 diabetes mellitus with and without complications. Int J App Basic Med Res 2017;7:88-93
|How to cite this URL:|
Mishra S, Mishra BB. Study of lipid peroxidation, nitric oxide end product, and trace element status in type 2 diabetes mellitus with and without complications. Int J App Basic Med Res [serial online] 2017 [cited 2020 Jul 14];7:88-93. Available from: http://www.ijabmr.org/text.asp?2017/7/2/88/205813
| Introduction|| |
Type 2 diabetes mellitus (DM) is a global health problem affecting more than 200 million individuals worldwide. It is characterized by absolute or relative deficiencies in insulin secretion and/or action. Insulin resistance (IR), considered to be the major contributor to pathogenesis of Type 2 DM, plays a key role in associated metabolic abnormalities such as hyperglycemia, dyslipidemia, and hypertension. There is a widespread understanding that hyperglycemia in Type 2 DM leads to overproduction of free radicals and reactive oxygen species (ROS). Oxidative stress has become a real entity in the etiopathogenesis of DM, which may play an important role in advanced glycation end product (AGE) formation by nonenzymatic glycosylation of proteins. AGEs accumulate in biological system and can cause damage to biological membranes and endothelium. Moreover, ROSs interact with lipid bilayer of cell membrane resulting in lipid peroxidation. Malondialdehyde (MDA) is a stable end product of lipid peroxidation. Thus, excess free radicals and the resultant oxidative stress along with elevated MDA explain the long-term vascular complications in DM, which is a major cause of mortality and morbidity.
Endothelial dysfunction is considered to be an intrinsic element in the pathogenesis of diabetes complications. The free radical nitric oxide (NO), accounting to the biological activity of endothelium-derived relaxing factor, is well recognized for its association with vascular disease. There is accumulating evidence that hyperglycemia in Type 2 DM can produce major change in NO production as well as in its action. Moreover, a complex interaction exists between NO and ROS within the microenvironment of vessel wall, thereby contributing to the reduced bioavailability of NO leading to the development of long-term diabetic complications.
Metal ions are known to play an essential role in living systems, both in growth and metabolism. Emerging evidences suggest an alteration of metabolism of several trace elements and their association in metabolic dysfunction in DM. It is still unclear whether it is the consequence of DM or can lead to expression of DM. Moreover, several studies have also documented a possible role of these minerals in the pathogenesis and progress of the disease. Zinc (Zn), one of the essential trace elements, has been found to be associated with DM in a compromised state. Similarly, several researchers have reported a compelling association between diabetes and hypomagnesemia as magnesium (Mg) plays an important role in enzymatic reactions of glucose metabolism.
Taking into consideration of the above facts, the present study was undertaken with an objective to assess the oxidative stress (MDA), NO level, and trace element status (Zn and Mg) in patients with Type 2 diabetes. In addition, it investigated the possible association between these parameters in the disease process, which might have utility to delay progression of diabetes complications and in the treatment of this complex disorder.
| Materials and Methods|| |
This case–control study is single center and conducted in a tertiary health-care hospital over a period of 3 months between October and December 2015. As per sample size calculation, a total number of ninety-two patients with Type 2 diabetes aged between 40 and 65 years were selected for the study. Cases were diagnosed on the basis of history, physical examination, and biochemical investigation as per WHO criteria. Out of 92 cases, 51 cases were Type 2 DM without complications and 41 cases were Type 2 DM with complications such as retinopathy, nephropathy, neuropathy, and atherosclerosis.
Exclusion criteria for cases
- Patients taking antioxidants, anticonvulsants, steroid, and thyroxine
- Patients with acute metabolic complications such as hypoglycemia, ketoacidosis, cerebro vascular accident, and acute infection
- Primary hypertensives
- Smokers and alcoholics.
A total number of 51 age- and sex-matched apparently healthy nondiabetic participants with normal blood sugar level from hospital staff, not receiving any kind of trace element and antioxidant supplementation, were taken as control. They were nonhypertensive, nonsmoker, and nonalcoholics. The Institutional Ethics Committee approval was obtained before study setup.
Blood sample collection and processing
Under aseptic condition, after overnight fasting, 5 ml of ethylenediaminetetraacetic acid (EDTA) venous blood samples in purple vacutainers, 1 ml of oxalate-fluoride samples in gray vacutainers, and 2 ml of samples in red vacutainers were collected from all study participants after taking informed written consent. Each sample was centrifuged at 4000 rmp for 10 min to collect plasma and serum, respectively. It was stored at −20°C in capped aliquots with wax tape around them for airtight packing until analysis. All the samples were analyzed on the same day of collection for the following biochemical laboratory investigations:
- Plasma MDA which was estimated by Satoh. It is a spectrophotometric assay. The lipid peroxidation product MDA formed a characteristic pink-chromogenic adduct with thiobarbituric acid and trichloroacetic acid which as measured colorimetrically after butanol extraction with a Systronics spectrophotometer at 532 nm. Reference range: 0.3–1.3 nmol/ml
- Plasma NO which was estimated by Ding et al. NO is immediately oxidized to its stable end products nitrite and nitrate. This assay was based on nitrite levels. Analysis was done by reaction of nitrite with a mixture of sulphanilamide and Napthyl ethylenediamine dihydrochloride to give a color complex, which was measured by a spectrophotometer at 570 nm. Reference range: 11–15 μmol/L
- Zn and Mg were analyzed using a Varian Spectra model AA-220 atomic absorption spectrophotometer. Reference range for Zn: 55–110 μg/dL and for Mg: 0.9–2.2 mg/dL
- Fasting plasma glucose (FPG), 2 hourly postprandial plasma glucose (2hr PPPG), and lipid profile (triglyceride [TG], total cholesterol [TC], high-density lipoprotein cholesterol [HDL-C], and low-density lipoprotein cholesterol [LDL-C]) were done by Cobas-400 fully automated analyzer by respective kits from Roche Diagnostics
- Glycated hemoglobin (HbA1c) was estimated with EDTA blood sample by Bio-Rad D-10 high-performance liquid chromatography.
For adequate quality control of results, both normal and abnormal reference control serum solutions and calibrator were run at the beginning of each shift. That apart, initial calibration and routine maintenance were carried out periodically as recommended by manufacturer.
Results were expressed as mean ± standard deviation (SD) and were statistically analyzed using software SPSS 16.0 software (Chicago II, USA) and Microsoft Excel. Student's unpaired t-test was used to analyze comparison between the groups. Relationships between the variables were evaluated using Pearson's correlation coefficient. A P < 0.05 was considered to be statistically significant.
| Results|| |
Studied patients were divided into two groups: Group 1 consisting of 51 uncomplicated cases (37 males and 14 females) and Group 2 consisting of 41 complicated cases (32 males and 9 females). The mean duration of the disease was 3.15 ± 2.7 years (6 months to 7 years) in Group 1 patients and 7.89 ± 2.72 years (3–12 years) in Group 2 patients. Mean age was 47.54 ± 6.99, 52.68 ± 7.43, and 63.04 ± 5.71 years in controls, Group 1, and Group 2, respectively. Details of the mean values along with the SDs for various biochemical parameters in the two diabetic groups as well as in the control are shown in [Table 1]. A significant rise was noted in FPG, 2hr PPPG, TG (P < 0.001), and TC (P < 0.05) in both the diabetic group in comparison to control indicating a chronic hyperglycemia and dyslipidemia state. There was highly statistical significant difference in HbA1c, MDA, NO, Zn, and Mg among the three groups [Table 1]. Plasma MDA noted to be raised significantly in both uncomplicated and complicated DM as compared to healthy controls. While NO, Zn, and Mg showed a significant decrease (P < 0.05) in both the study groups as compared to control as shown in [Table 1]. Correlation of MDA and NO with various parameters was shown in [Table 2]. MDA was observed to document a statistically positive correlation with FPG, TC, TG, and HbA1c. Similarly, MDA registered a significant negative correlation with NO, Zn, and Mg. That apart, NO depicted a significant negative correlation with FPG (P < 0.001), TC and TG (P < 0.05). [Table 3] revealed a significant negative correlation between Zn and Mg with other parameters such as FPG, HbA1c, and MDA.
|Table 1: Comparison of biochemical parameters in study group and control|
Click here to view
|Table 2: Correlation of malondialdehyde and nitric oxide with biochemical parameters|
Click here to view
| Discussion|| |
The present study was undertaken with an objective to evaluate plasma MDA, NO, and trace elements (Zn and Mg) status and its association with the disease process in Type 2 DM patients. Hyperglycemia documented by a highly significantly raised FPG and 2hr PPPG (P < 0.001) in both the cases with diabetes Type 2 along with an increased HbA1c level (P < 0.05), and marked dyslipidemia was noted in the study population which is a quintessential feature of Type 2 DM. These metabolic derangements may be contributed by impaired insulin secretion, IR in adipose tissues, and increased hepatic glucose production along with increased free fatty acid flux from adipocytes resulting in increased lipid synthesis in hepatocytes. Significant rise in HbA1c, a long-term index of glycemia, was found to be still higher in complicated DM, suggesting a long-term hyperglycemia. This agrees to the findings by other authors in this regard. MDA showed a significant increase (P < 0.05) in both uncomplicated and complicated DM as compared to the control group [Table 1], explaining the generation of free radicals with increased lipid peroxidation during the course of disease process. This finding may be supported by Kumawat et al., who found out highly significantly increased (P < 0.001) MDA levels in Type 2 DM patients with and without complications. Hence, it can be stated that extent of oxidative stress and occurrence of complication in Type 2 diabetes are dependent on metabolic control of diabetes. This is supported by another study by Aydin et al. who reported similar significantly elevated MDA in poor glycemic control diabetic participants as compared to controls. The contributory role of hyperglycemia in glucose autoxidation, free radical production, generation of toxic ROS, and genesis of oxidative stress has been demonstrated by a significant positive association (P < 0.001) of MDA with FPG, PPPG [Figure 1], and HbA1c in the present study. We also registered a statistically significant correlation of MDA with several lipid parameters [Table 2], which strengthens the fact that dyslipidemia might lead to increased lipid peroxidation resulting in genesis of ROS, responsible for long-term vascular complications in DM.
|Figure 1: Correlation between malondialdehyde with plasma glucose in patients with Type 2 diabetes. Statistically significant correlation indicating the role of hyperglycemia causing oxidative stress in patients with diabetes|
Click here to view
Plasma nitrite, the end product of NO, was noticed to be lower in both the study group of diabetes, more so in complicated group as compared to controls. This potentiates the reduced bioavailability NO due to decreased NO synthesis and increased NO inactivation, contributing to endothelial dysfunction in DM. This argument may be strengthened the finding of Ghosh et al., who reported significant difference in NO, lipid profile parameters between healthy controls, and patients with diabetes in Sikkim population. Another study by Vanizor et al. observed decreased NO end products (P < 0.01) in patients with diabetes Type 2 without any complication. Significant negative correlation between NO and plasma glucose in our study explains the quenching effect of NO by hyperglycemia-induced AGEs [Table 2] and [Figure 2]. This may be attributed to impaired NO synthase (NOS) activity and so reduced NO generation due to IR. These findings are in agreement with Tessari et al., who stated that hyperglycemia may also play a role in decreased NO production by inhibiting endothelial NOS activity in glomeruli through protein kinase C-associated mechanism. The present data revealed a statistically significant (P < 0.05) association of NO with lipid parameters [Table 2]. This is in harmony with the finding that dyslipidemia and oxidation of lipids may lead to diminished NO synthesis, thus leading to increased oxidative stress and vascular complications in diabetes. The observed statistically significant negative correlation between MDA and NO (r = −0.84, P< 0.001) in our study [Figure 3] reveals the quenching phenomena of ROS on NO to form peroxynitrite with its decreased bioavailability. Thus, reduced NO production and raised MDA due to hyperglycemia, dyslipidemia, and oxidative stress in diabetes may exacerbate endothelial dysfunction and accelerate vascular complications in Type 2 DM.
|Figure 2: Correlation between nitric oxide with plasma glucose in patients with diabetes. Significant negative correlation explains the quenching effect of nitric oxide by hyperglycemia in patients with diabetes|
Click here to view
|Figure 3: Correlation study between malondialdehyde and nitric oxide in patients with Type 2 diabetes mellitus. Above significant negative correlation justifies reduced bioavailability of nitric oxide due to the generation of reactive oxygen species in patients with diabetes|
Click here to view
The present data revealed a significantly low Zn and Mg level in study cases (P < 0.05) as compared to healthy controls as shown in [Table 1]. These results were consistent with those obtained in other studies, conforming their role in the development of DM as well as the influence of glycemic status on them.,, Slightly lower levels of the above parameters have been observed in patients with vascular complications when compared with patients with diabetes without complications. These results may indicate the role of trace elements as an additional risk factor in the progress of disease contributing to the complications. As regards Zn, it can be stated that hyperglycemia-induced decreased Zn level might be attributed to increased urinary loss and decreased active transport to tubular cell. The present study revealed a negative correlation was noted with FPG, HbA1c, TC, TG, and LDL-C while with HDL-C, it was a positive correlation. This agrees with Al-Maroof and Al-Sharbatti who found a definite improvement in glycemic status after Zn supplementation to patients with diabetes Type 2. As Zn has an important role in insulin synthesis, so it has been postulated to affect glucose tolerance and IR. Zn supplementation plays an important role in preventing free radical-induced oxidative damage and chronic complications of DM. This finding was supported by a statistically negative correlation between Zn and MDA ( r = −0.44, P< 0.05) in the present study. This finding is in agreement with Salem et al., who stated similar statistically significant correlation (P < 0.05), concluding the role of impaired Zn metabolism in contributing the progression of diabetic complications. Furthermore, it might be supported by the presence of Zn in many antioxidant enzymes such as catalase, peroxidase, and dismutase. Hence, Zn deficiency might lead to oxidative stress, which mediates most of the complications of diabetes.
As regards Mg, the present results observe a statistically significant negative correlation with FPG, HbA1c, and MDA (r = −0.41, r = −0.36, and r = −0.31, respectively). These results are consistent with the findings of Kamal et al., who stated that deficiency of trace elements may play a role in pathogenesis of DM. Furthermore, above findings may be attributed to the association of Mg deficiency with IR, carbohydrate intolerance, and dyslipidemia. Thus, the impaired trace element metabolism of the present work may have a role in pathogenesis of DM by enhancing lipid peroxidation and oxidative stress, which might lead to vascular complications of diabetes.
Limitation of the study
Our study is limited by single center and small sample size. Additional parameters such as total antioxidant status, AGE product, and other trace elements such as copper and selenium will be added in our future research work, which might help elucidate the underlying mechanism.
| Conclusion|| |
Hyperglycemia in Type 2 DM is associated with accelerated nonenzymatic glycation, oxidative stress, and reduced bioavailability of NO and altered trace element metabolism. All these parameters might profoundly influence metabolic dysfunction, pathogenesis, and vascular complications of diabetes. Hence, there may be a place for trace element supplementation as an effective therapeutic intervention, in preventing complications in Type 2 DM along with control of other risk factors. Future research and adequately powered randomized placebo-controlled double-blind studies with trace element supplementation are required to explore the effect. Although several mechanisms represent a common pathway in the development of long-term complications in DM, there is a need for future longitudinal study to understand the casual relationship between oxidative stress, trace element, NO, and vascular complications in diabetes. Nevertheless, we hope the mentioned findings will provide a better insight into pathogenesis of DM and help in detecting complications at an early stage.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Quinn L. Behavior and biology: The prevention of type 2 diabetes. J Cardiovasc Nurs 2003;18:62-8.
Cheeseman KH, Slater TF. An introduction to free radical biochemistry. Br Med Bull 1993;49:481-93.
West IC. Radicals and oxidative stress in diabetes. Diabet Med 2000;17:171-80.
Nielsen F, Mikkelsen BB, Nielsen JB, Andersen HR, Grandjean P. Plasma malondialdehyde as biomarker for oxidative stress: Reference interval and effects of life-style factors. Clin Chem 1997;43:1209-14.
Wolff SP, Jiang ZY, Hunt JV. Protein glycation and oxidative stress in diabetes mellitus and ageing. Free Radic Biol Med 1991;10:339-52.
Moncada S, Higgs A. The L-arginine-nitric oxide pathway. N Engl J Med 1993;329:2002-12.
McVeigh GE, Brennan GM, Johnston GD, McDermott BJ, McGrath LT, Henry WR, et al.
Impaired endothelium-dependent and independent vasodilation in patients with type 2 (non-insulin-dependent) diabetes mellitus. Diabetologia 1992;35:771-6.
Aydin A, Orhan H, Sayal A, Ozata M, Sahin G, Isimer A. Oxidative stress and nitric oxide related parameters in type II diabetes mellitus: Effects of glycemic control. Clin Biochem 2001;34:65-70.
Abou-Seif MA, Youssef AA. Evaluation of some biochemical changes in diabetic patients. Clin Chim Acta 2004;346:161-70.
Karahan SC, Deger O, Orem A, Uçar F, Erem C, Alver A, et al.
The effects of impaired trace element status on polymorphonuclear leukocyte activation in the development of vascular complications in type 2 diabetes mellitus. Clin Chem Lab Med 2001;39:109-15.
Walter RM Jr., Uriu-Hare JY, Olin KL, Oster MH, Anawalt BD, Critchfield JW, et al.
Copper, zinc, manganese, and magnesium status and complications of diabetes mellitus. Diabetes Care 1991;14:1050-6.
Chausmer AB. Zinc, insulin and diabetes. J Am Coll Nutr 1998;17:109-15.
Barbagallo M, Dominguez LJ, Galioto A, Ferlisi A, Cani C, Malfa L, et al.
Role of magnesium in insulin action, diabetes and cardio-metabolic syndrome X. Mol Aspects Med 2003;24:39-52.
Diabetes mellitus. Report of a WHO Study Group. World Health Organ Tech Rep Ser 1985;727:1-113.
Satoh K. Serum lipid peroxide in cerebrovascular disorders determined by a new colorimetric method. Clin Chim Acta 1978;90:37-43.
Ding AH, Nathan CF, Stuehr DJ. Release of reactive nitrogen intermediate and reactive oxygen intermediates from mouse peritoneal macrophages. J Immunol 1988;141:2407-12.
Evenson ME. Spectrophotometric techniques. In: Burtis CA, Ashwood ER, editors. Teitz Textbook of Clinical Chemistry. 3rd
ed. Philadelphia: WB Saunders Co.; 1999. p. 75-93.
Davis JE, McDonald JM, Jarett L. A high-performance liquid chromatography method for hemoglobin A1c. Diabetes 1978;27:102-7.
Powers AC. Diabetes mellitus. In: Longo DL, Fauci AS, Kasper DL, Hauser SL, Jameson J, Loscalzo J, editors. Harrison's Principle of Internal Medicine. 18th
ed. New York: McGraw Hill; 2012. p. 2968-9.
Goldstein DE, Little RR, Lorenz RA, Malone JI, Nathan D, Peterson CM, et al.
Tests of glycemia in diabetes. Diabetes Care 2004;27:1761-73.
Kumawat M, Sharma TK, Singh I, Singh N, Ghalaut VS, Vardey SK, et al.
Antioxidant enzymes and lipid peroxidation in type 2 diabetes mellitus patients with and without nephropathy. N Am J Med Sci 2013;5:213-9.
Bucala R, Tracey KJ, Cerami A. Advanced glycosylation products quench nitric oxide and mediate defective endothelium-dependent vasodilatation in experimental diabetes. J Clin Invest 1991;87:432-8.
Ghosh A, Sherpa ML, Bhutia Y, Pal R, Dahal S. Serum nitric oxide status in patients with type 2 diabetes mellitus in Sikkim. Int J Appl Basic Med Res 2011;1:31-5.
Vanizor B, Orem A, Karahan SC, Kiran E, Erem C, Aliyazicioglu R, et al.
Decreased nitric oxide end-products and its relationship with high density lipoprotein and oxidative stress in people with type 2 diabetes without complications. Diabetes Res Clin Pract 2001;54:33-9.
Tsai DC, Chiou SH, Lee FL, Chou CK, Chen SJ, Peng CH, et al.
Possible involvement of nitric oxide in the progression of diabetic retinopathy. Ophthalmologica 2003;217:342-6.
Tessari P, Cecchet D, Cosma A, Vettore M, Coracina A, Millioni R, et al.
Nitric oxide synthesis is reduced in subjects with type 2 diabetes and nephropathy. Diabetes 2010;59:2152-9.
Praveen S, Pasula S, Sameera K. Trace elements in diabetes mellitus. J Clin Diag Res 2010;7:1863-5.
Wälti MK, Zimmermann MB, Spinas GA, Hurrell RF. Low plasma magnesium in type 2 diabetes. Swiss Med Wkly 2003;133:289-92.
Viktorinova A, Toserova E, Krizko M, Durackova Z. Altered metabolism of Copper, Zinc, and Magnesium is associated with increased levels of glycated hemoglobin in patients with diabetes mellitus. Diabetes Mellitus 2009;58:1477-82.
Al-Maroof RA, Al-Sharbatti SS. Serum zinc levels in diabetic patients and effect of zinc supplementation on glycemic control of type 2 diabetics. Saudi Med J 2006;27:344-50.
Hashemipour M, Kelishadi R, Shapouri J, Sarrafzadegan N, Amini M, Tavakoli N, et al.
Effect of zinc supplementation on insulin resistance and components of the metabolic syndrome in prepubertal obese children. Hormones (Athens) 2009;8:279-85.
Anderson RA, Roussel AM, Zouari N, Mahjoub S, Matheau JM, Kerkeni A. Potential antioxidant effects of zinc and chromium supplementation in people with type 2 diabetes mellitus. J Am Coll Nutr 2001;20:212-8.
Salem M, Kholoussi S, Kholoussi N, Fawzy R. Malondialdehyde and trace element levels in patients with type 2 diabetes mellitus. Arch Hellenic Med 2011;28:83-8.
Kamal M, Salem M, Kholousi N, Ashmawy K. Evaluation of trace elements and malondialdehyde levels in typr 2 diabetes mellitus. Diabetes Metab Syndr Clin Res Rev 2009;3:214-8.
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3]
|This article has been cited by|
||Reactive Sterol Electrophiles: Mechanisms of Formation and Reactions with Proteins and Amino Acid Nucleophiles
| ||Ned A. Porter,Libin Xu,Derek A. Pratt |
| ||Chemistry. 2020; 2(2): 390 |
|[Pubmed] | [DOI]|
||Anti-hyperlipidemia effect of sea buckthorn fruit oil extract through the AMPK and Akt signaling pathway in hamsters
| ||Shan Gao,Gaoshuang Hu,Dong Li,Mingzhe Sun,Dehua Mou |
| ||Journal of Functional Foods. 2020; 66: 103837 |
|[Pubmed] | [DOI]|
||Oral supplementation of the Extract of Fish oil to reduce fasting blood Glucose and Endothel damage but not Malondialdehyde level in diabetic male Wistar Rat (Rattus norvegicus)
| ||S Sahadewa,F D Durry,W Pangkahila,G N I Pinatih |
| ||Journal of Physics: Conference Series. 2020; 1469: 012009 |
|[Pubmed] | [DOI]|
||miR-124-5p/NOX2 Axis Modulates the ROS Production and the Inflammatory Microenvironment to Protect Against the Cerebral I/R Injury
| ||Yakun Wu,Jia Yao,Kai Feng |
| ||Neurochemical Research. 2020; |
|[Pubmed] | [DOI]|
||Oxidative stress markers in cognitively intact patients with diabetic neuropathy
| ||Isaac Etienne,Lucas Vilas Boas Magalhães,Silvia Almeida Cardoso,Rodrigo Barros de Freitas,Guilherme Pereira de Oliveira,András Palotás,Luciana Moreira Lima |
| ||Brain Research Bulletin. 2019; |
|[Pubmed] | [DOI]|
||Systemic translation of locally infiltrated epidermal growth factor in diabetic lower extremity wounds
| ||Ariana García-Ojalvo,Jorge Berlanga Acosta,Alain Figueroa-Martínez,Mónica Béquet-Romero,Yssel Mendoza-Marí,Maday Fernández-Mayola,Amirelia Fabelo-Martínez,Gerardo Guillén-Nieto |
| ||International Wound Journal. 2019; |
|[Pubmed] | [DOI]|
||The Use of Trace and Essential Elements in Common Clinical Disorders: Roles in Assessment of Health and Oxidative Stress Status
| ||David Calderón Guzmán,Hugo Juárez Olguín,Norma Osnaya Brizuela,Ernestina Hernández Garcia,Miroslava Lindoro Silva |
| ||Nutrition and Cancer. 2019; : 1 |
|[Pubmed] | [DOI]|
||High-fat diet causes increased endogenous neurotoxins and phenotype of Parkinson’s disease in mice
| ||Hanyan Wu,Bingjie Xie,Ming Ke,Yulin Deng |
| ||Acta Biochimica et Biophysica Sinica. 2019; |
|[Pubmed] | [DOI]|
||Hepatoprotective Effects of Morchella esculenta against Alcohol-Induced Acute Liver Injury in the C57BL/6 Mouse Related to Nrf-2 and NF-?B Signaling
| ||Bo Meng,Yuanzhu Zhang,Zhuqian Wang,Qinran Ding,Jia Song,Di Wang |
| ||Oxidative Medicine and Cellular Longevity. 2019; 2019: 1 |
|[Pubmed] | [DOI]|
||Protection of miR-19b in hypoxia/reoxygenation-induced injury by targeting PTEN
| ||Wan-Gen Liu,Li-Li Han,Rong Xiang |
| ||Journal of Cellular Physiology. 2019; |
|[Pubmed] | [DOI]|
||Effects of Pistacia atlantica on Oxidative Stress Markers and Antioxidant Enzymes Expression in Diabetic Rats
| ||Shahrokh Bagheri,Mostafa Moradi Sarabi,Peyman Khosravi,Reza Mohammadrezaei Khorramabadi,Saeid Veiskarami,Hassan Ahmadvand,Mahtab Keshvari |
| ||Journal of the American College of Nutrition. 2019; : 1 |
|[Pubmed] | [DOI]|
||Immunometabolism and Pulmonary Infections: Implications for Protective Immune Responses and Host-Directed Therapies
| ||Martin Rao,Ernest Dodoo,Alimuddin Zumla,Markus Maeurer |
| ||Frontiers in Microbiology. 2019; 10 |
|[Pubmed] | [DOI]|
||Allyl methyl sulfide, a garlic active component mitigates hyperglycemia by restoration of circulatory antioxidant status and attenuating glycoprotein components in streptozotocin-induced experimental rats
| ||Kathiroli Sujithra,Subramani Srinivasan,Dhananjayan Indumathi,Veerasamy Vinothkumar |
| ||Toxicology Mechanisms and Methods. 2018; : 1 |
|[Pubmed] | [DOI]|
||Cranberries improve postprandial glucose excursions in type 2 diabetes
| ||Jace Schell,Nancy M. Betts,Megan Foster,R. Hal Scofield,Arpita Basu |
| ||Food Funct.. 2017; |
|[Pubmed] | [DOI]|