P Alterations in Plasma Proteome Pattern and Oxidative Stress in Patients with Type 2 Diabetes

Authors

DOI:

https://doi.org/10.22100/ijhs.v7i4.890

Keywords:

Diabetes, Plasma proteome, Malondialdehyde, Total antioxidant, Two-dimensional electrophoresis

Abstract

Background: Free radical production, changes in the proteome, and lipid peroxidation are the consequences of hyperglycemia in diabetes. This study aimed to examine the changes in plasma proteome along with oxidative status in type 2 diabetes. 

Methods: Thirty type 2 diabetic patients and 25 healthy subjects participated in this cross-sectional study. Fasting blood sugar, glycated hemoglobin (HbA1c), and lipid profile was measured in all subjects. To measure oxidative stress parameters, malondialdehyde (MDA) and total antioxidant capacity (TAC) were assayed. Plasma proteome pattern was determined using two-dimensional gel electrophoresis. Visual analysis of gels was performed using software (Image Master).

Results: MDA level was higher in the diabetic group compared to the healthy group 4.10 (± 0.57) vs. 3.2 (± 0.10) nmol/ml, Pvalue<0.01). TAC reduced in diabetic patients 17.85 (± 1.2) vs. 38.60 (± 2.4) mmol/ml, Pvalue=0.01). Some changes were observed in the 2-D gel electrophoresis pattern in diabetic patients comparing to those of the healthy group.

Conclusions: The results indicated the presence of oxidative stress in type 2 diabetes patients. Also, different proteome patterns showed the presence of different or modified proteins in diabetic patients that can be due to changes in the glycation of proteins or may be induced as a response to oxidative stress. 

Keywords: Diabetes, Plasma proteome, Malondialdehyde, Total antioxidant, Two-dimensional electrophoresis.

References

References:

1. Baharvand-Ahmadi, B., et al., An ethno-medicinal study of medicinal plants used for the treatment of diabetes. Journal of nephropathology, 2016. 5(1): p. 44.
2. Yaghi, S., A. Hinduja, and N. Bianchi, The effect of admission hyperglycemia in stroke patients treated with thrombolysis. International Journal of Neuroscience, 2012. 122(11): p. 637-640.
3. Stratton, I.M., et al., Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. Bmj, 2000. 321(7258): p. 405-412.
4. Peppa, M. and H. Vlassara, Advanced glycation end products and diabetic complications: a general overview. Hormones (Athens), 2005. 4(1): p. 28-37.
5. Donath, M.Y. and S.E. Shoelson, Type 2 diabetes as an inflammatory disease. Nature Reviews Immunology, 2011. 11(2): p. 98.
6. Tsutsui, H., S. Kinugawa, and S. Matsushima, Mitochondrial oxidative stress and dysfunction in myocardial remodelling. Cardiovascular research, 2008. 81(3): p. 449-456.
7. Zhu, R., et al., Oxidative stress and liver disease. Hepatology Research, 2012. 42(8): p. 741-749.
8. Junqueira, V.B., et al., Aging and oxidative stress. Molecular aspects of medicine, 2004. 25(1-2): p. 5-16.
9. Rad, M., et al., Advanced end glycation products, advanced oxidation protein products and ferritin reducing ability of plasma as markers of diabetic retinopathy. Austin J Endocrinol Diabetes, 2017. 4(1): p. 1057.
10. Ketema, E.B. and K.T. Kibret, Correlation of fasting and postprandial plasma glucose with HbA1c in assessing glycemic control; systematic review and meta-analysis. Archives of Public Health, 2015. 73(1): p. 43.
11. Lopez, J., Two-dimensional electrophoresis in proteome expression analysis. Journal of chromatography B, 2007. 849(1-2): p. 190-202.
12. Devasagayam, T., K. Boloor, and T. Ramasarma, Methods for estimating lipid peroxidation: an analysis of merits and demerits. Indian journal of biochemistry & biophysics, 2003. 40(5): p. 300-308.
13. Šne, E., et al. Content of phenolic compounds in various sea buckthorn parts. in Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 2013. Versita.
14. Chen, Y.Y., et al., A modified protein precipitation procedure for efficient removal of albumin from serum. Electrophoresis, 2005. 26(11): p. 2117-2127.
15. Ahmed, N., et al., An approach to remove albumin for the proteomic analysis of low abundance biomarkers in human serum. Proteomics, 2003. 3(10): p. 1980-1987.
16. Kazemi‐Pour, N., G. Condemine, and N. Hugouvieux‐Cotte‐Pattat, The secretome of the plant pathogenic bacterium Erwinia chrysanthemi. Proteomics, 2004. 4(10): p. 3177-3186.
17. Uemura, N. and T. Kondo, Current advances in esophageal cancer proteomics. Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 2015. 1854(6): p. 687-695.
18. Lee, P.Y., N. Saraygord-Afshari, and T.Y. Low, The evolution of two-dimensional gel electrophoresis-from proteomics to emerging alternative applications. Journal of Chromatography A, 2020. 1615: p. 460763.
19. Li, R.-X., et al., Localized-statistical quantification of human serum proteome associated with type 2 diabetes. PloS one, 2008. 3(9): p. e3224.
20. Sundsten, T., et al., The use of proteomics in identifying differentially expressed serum proteins in humans with type 2 diabetes. Proteome Science, 2006. 4(1): p. 1-10.
21. Zamanian-Azodi, M., et al., Proteomics analysis of MKN45 cell line before and after treatment with Lavender aqueous extract. Gastroenterology and Hepatology from bed to bench, 2012. 5(1): p. 35.
22. Jantos-Siwy, J., et al., Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. Journal of proteome research, 2009. 8(1): p. 268-281.
23. Hung, P.-H., et al., Proteomic identification of plasma biomarkers in type 2 diabetic nephropathy. Journal of Integrated OMICS, 2011. 1(1): p. 151-156.
24. Sundsten, T., C.G. Östenson, and P. Bergsten, Serum protein patterns in newly diagnosed type 2 diabetes mellitus—influence of diabetic environment and family history of diabetes. Diabetes/metabolism research and reviews, 2008. 24(2): p. 148-154.
25. Zimmet, P., et al., Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. Nature Reviews Endocrinology, 2016. 12(10): p. 616.
26. Sastre, A.A., et al., Effect of the treatment of type 2 diabetes mellitus on the development of cognitive impairment and dementia. Cochrane Database of Systematic Reviews, 2017(6).
27. Khamseh, M.E., et al., Effects of a structured self-monitoring of blood glucose method on patient self-management behavior and metabolic outcomes in type 2 diabetes mellitus. Journal of diabetes science and technology, 2011. 5(2): p. 388-393.
28. Karnchanasorn, R., et al., Comparison of the current diagnostic criterion of HbA1c with fasting and 2-hour plasma glucose concentration. Journal of diabetes research, 2016. 2016.
29. Inoue, K., M. Matsumoto, and Y. Kobayashi, The combination of fasting plasma glucose and glycosylated hemoglobin predicts type 2 diabetes in Japanese workers. Diabetes research and clinical practice, 2007. 77(3): p. 451-458.
30. Ramakrishna, V. and R. Jailkhani, Oxidative stress in non-insulin-dependent diabetes mellitus (NIDDM) patients. Acta diabetologica, 2008. 45(1): p. 41-46.
31. Center, H.M.s.C., Plasma lipid peroxidation and antioxidiant nutrients in type 2 diabetic patients. J Med Assoc Thai, 2006. 89(5): p. S147-55.
32. Peerapatdit, T., et al., Antioxidant status and lipid peroxidation end products in patients of type 1 diabetes mellitus. J Med Assoc Thai, 2006. 89(Suppl 5): p. S141-S146.
33. Hisalkar, P., et al., Ferric reducing ability of plasma with lipid peroxidation in type 2 diabetes. Age (Yr), 2012. 42: p. 8.70.
34. Chattopadhyay, M., et al., Enhanced ROS production and oxidative damage in subcutaneous white adipose tissue mitochondria in obese and type 2 diabetes subjects. Molecular and cellular biochemistry, 2015. 399(1): p. 95-103.
35. Donath, M.Y. and S.E. Shoelson, Type 2 diabetes as an inflammatory disease. Nature reviews immunology, 2011. 11(2): p. 98-107.

Downloads

Published

2021-07-24

Issue

Section

Articles

How to Cite

P Alterations in Plasma Proteome Pattern and Oxidative Stress in Patients with Type 2 Diabetes. (2021). International Journal of Health Studies, 7(4), 23-29. https://doi.org/10.22100/ijhs.v7i4.890