ICJIM

The Intercontinental Journal of Internal Medicine aims to publish issues related to all fields of internal medicine of the highest scientific and clinical value at an international level and accepts articles on these topics. This journal is indexed by indices that are considered international scientific journal indices (DRJI, ESJI, OAJI, etc.). According to the current Associate Professorship criteria, it is within the scope of International Article 1-d. Each article published in this journal corresponds to 5 points.

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Original Article
Evaluation of the relationship between weight loss and oxidative stress in obese, type 2 diabetic patients by thiol/disulfide balance
Aims: Diabetes mellitus (DM) and obesity continue to be an important problem in all world. It is known that there is a close relationship between DM and obesity and that both diseases have a course intertwined with inflammatory processes. In order to determine the clinical severity of these two diseases and to predict complications, clinical tools are needed to evaluate patients in terms of inflammation and oxidative stress. Anthropometric measurements and various known and novel inflammatory biomarkers are being tested for this purpose. Thiol/disulfide is a biomarker whose role in inflammatory processes and defense against oxidative stress is known and whose clinical value is still under investigation. In this study, we aimed to determine the relationship between body weight change and thiol/disulfide balance under clinical follow-up in obese patients with type 2 DM.
Methods: Our study was conducted in a single center with a prospective design between December 2023 and April 2024. The study was completed with a total of 46 patients. Age, comorbidities, height, body weight, waist and hip circumference measurements were performed; glycated hemoglobin, albumin, leukocyte, neutrophil and c-reactive protein values were recorded. After 3 months, the same data were obtained again. Blood samples obtained during these two examinations were analyzed for native thiol, total thiol, and disulfide.
Results: Of the 46 patients,30 patients lost more than %5 weight during the study period (Group 1) and the remaining 16 patients were defined as Group 2. There was no difference between Groups 1 and 2 in terms of age (p=0.211) and comorbidities (p=>0,05) at the beginning of the study. Inflammatory markers and thiol markers were similar between the groups at the beginning of the study (p=>0.05). Native thiol (263,20-316,51; p=0<0,001), total thiol (296,91-355,63; p=<0,001) and disulfide (9350,84-10845,39; p=0,024) were increased in group 1 cases during the study period. Disulfide/native thiol (6,41-6,19; p=0,199), disulfide/total thiol (5,67-5,50; p=0,207), native/total thiol (88,65-88,99; p=0,206) did not change. In group 2 cases, native thiol (272,81-289,59; p=0,135), total thiol (307,22-322,18; p=0,173), disulfide (3916,43-10609,44; p=0,059), disulfide/native thiol (6,51-6,23; p=0,178), disulfide/total thiol (5,75-5,54; p=0,2187), native/total thiol (88,49-89,92; p=0,188) did not change.
Conclusion: There were no differences between patients who lost and gained weight during the study period in terms of comorbidities, age and anthropometric measurements at the beginning of the study. There was a statistically significant change in thiol markers in patients who lost weight.


1. McLachlan S, Collaboration NRF. Trends in adult body mass index in 200 countries since 1975: pooled analysis of 1,698 population-based measurement studies with 19.2 million participants. <em>Lancet</em>. 2016;387(10032):1998.
2. Furukawa S, Fujita T, Shimabukuro M, et al. Increased oxidative stress in obesity and its impact on metabolic syndrome. <em>J Clin Investigat</em>. 2017;114(12):1752-1761.
3. Erel O, Neselioglu S. A novel and automated assay for thiol/disulphide homeostasis. <em>Clin Biochem</em>. 2014;47(18):326-332. doi:10.1016/j.clinbiochem.2014.09.026
4. Rodr&iacute;guez-Hern&aacute;ndez H, Simental-Mend&iacute;a LE, Rodr&iacute;guez-Ram&iacute;rez G, Reyes-Romero MA. Obesity and inflammation: epidemiology, risk factors, and markers of inflammation. <em>Int J Endocrinol</em>. 2013;2013:678159. doi:10.1155/2013/678159
5. Das UN. Is obesity an inflammatory condition? <em>Nutrition</em>. 2001;17(11-12):953-966. doi:10.1016/s0899-9007(01)00672-4
6. King GL. The role of inflammatory cytokines in diabetes and its complications. <em>J Periodontol</em>. 2008;79(8 Suppl):1527-1534. doi:10.1902/jop.2008.080246
7. Aouacheri O, Saka S, Krim M, Messaadia A, Maidi I. The investigation of the oxidative stress-related parameters in type2 diabetes mellitus. <em>Can J Diabetes</em>. 2015;39(1):44-49. doi:10.1016/j.jcjd.2014.03.002
8. Syafiq WM, Dwipayana IMP, Saraswati MR, Gotera W. Correlation between waist circumference and glycated haemoglobin (HbA1c) among type 2 diabetes mellitus patients in Diabetic Polyclinic Sanglah General Hospital Denpasar-Indonesia. <em>Neurol Spin Med Chirurg</em>. 2020;3(2):66-70.
9. Wei N, Zheng H, Nathan DM. Empirically establishing blood glucose targets to achieve HbA1c goals. <em>Diabetes Care</em>. 2014;37(4):1048-1051.
10. Kahn BB, Flier JS. Obesity and insulin resistance. <em>J Clin Investigat</em>. 2000;106(4):473-481.
11. Jankovic A, Korac A, Srdic-Galic B, et al. Differences in the redox status of human visceral and subcutaneous adipose tissues--relationships to obesity and metabolic risk. <em>Metabolism</em>. 2014;63(5):661-671. doi:10.1016/j.metabol.2014.01.009
12. Stevens J, Couper D, Pankow J, et al. Sensitivity and specificity of anthropometrics for the prediction of diabetes in a biracial cohort. <em>Obes Res</em>. 2001;9(11):696-705. doi:10.1038/oby.2001.94
13. Kulak E, Berber B, Temel H, et al. Determination of type 2 diabetes risk levels in individuals applying to family medicine. <em>Turk J Family Pract</em>. 2019;23(1):20-30. doi:10.15511/tahd.19.00120
14. Haghighatdoost F, Amini M, Feizi A, Iraj B. Are body mass index and waist circumference significant predictors of diabetes and prediabetes risk: results from a population based cohort study. <em>World J Diabetes</em>. 2017;8(7):365-373. doi:10.4239/wjd.v8.i7.365
15. Deneke SM. Thiol-based antioxidants. <em>Curr Top Cell Regul</em>. 2001;36:151-180.
16. Erel &Ouml;, Erdoğan S. Thiol-disulfide homeostasis: an integrated approach with biochemical and clinical aspects. <em>Turk J Med Sci</em>. 2020;50(10):1728-1738.
17. Ates I, Kaplan M, Inan B, et al. How does thiol/disulfide homeostasis change in prediabetic patients? <em>Diabet Res Clin Pract</em>. 2015;110(2):166-171.
18. Ates I, Kaplan M, Yuksel M, et al. Determination of thiol/disulphide homeostasis in type 1 diabetes mellitus and the factors associated with thiol oxidation. <em>Endocrine</em>. 2016;51:47-51.
19. Eryilmaz MA, Kozanhan B, Solak I, &Ccedil;etinkaya &Ccedil;D, Neselioglu S, Erel &Ouml;. Thiol-disulfide homeostasis in breast cancer patients. <em>J Cancer Res Therapeut</em>. 2019;15(5):1062-1066.
20. Schillern EE, Pasch A, Feelisch M, et al. Serum free thiols in type 2 diabetes mellitus: A prospective study. <em>J Clin Translat Endocrinol</em>. 2019;16:100182.
21. Wong S, Kirkland JL, Schwanz HA, et al. Effects of thiol antioxidant &beta;-mercaptoethanol on diet-induced obese mice. <em>Life Sci</em>. 2014;107(1-2):32-41.
22. Hildebrandt W, Hamann A, Krakowski-Roosen H, et al. Effect of thiol antioxidant on body fat and insulin reactivity. <em>J Mol Med (Berl)</em>. 2004;82(5):336-44. doi:10.1007/s00109-004-0532-5
23. Koh EH, Lee WJ, Lee SA, et al. Effects of alpha-lipoic Acid on body weight in obese subjects. <em>Am J Med</em>. 2011;124(1):1-8. doi:10.1016/j.amjmed.2010.08.005
24. Ansar H, Mazloom Z, Kazemi F, Hejazi N. Effect of alpha-lipoic acid on blood glucose, insulin resistance and glutathione peroxidase of type 2 diabetic patients. <em>Saudi Med J</em>. 2011;32(6):584-588.
25. Rosc D, Adamczyk P, Boinska J, et al. CRP, but not TNF-&alpha; or IL-6, decreases after weight loss in patients with morbid obesity exposed to intensive weight reduction and balneological treatment. <em>J Zhejiang Univ Sci B</em>. 2015;16(5):404-411. doi:10.1631/jzus.B1400219
26. Kim TN. Barriers to obesity management: patient and physician factors. <em>J Obes Metab Syndr</em>. 2020;29(4):244-247.
27. Mauro M, Taylor V, Wharton S, Sharma AM. Barriers to obesity treatment. <em>Eur J Int Med</em>. 2008;19(3):173-180.
28. Leyden E, Hanson P, Halder L, et al. Older age does not influence the success of weight loss through the implementation of lifestyle modification. <em>Clin Endocrinol</em>. 2021;94(2):204-209.
29. Finucane FM, Gibson I, Hughes R, et al. Factors associated with weight loss and health gains in a structured lifestyle modification programme for adults with severe obesity: a prospective cohort study. <em>Front Endocrinol</em>. 2023;14:1257061.
30. Chopra S, Malhotra A, Ranjan P, et al. Predictors of successful weight loss outcomes amongst individuals with obesity undergoing lifestyle interventions: a systematic review. <em>Obesity Reviews</em>. 2021;22(3):e13148.
31. Cresci B, Castellini G, Pala L, et al. Fit and motivated: outcome predictors in patients starting a program for lifestyle change. <em>Obesity Facts</em>. 2013;6(3):279-287.
32. Sawamoto R, Nozaki T, Nishihara T, et al. Predictors of successful long-term weight loss maintenance: a two-year follow-up. <em>BioPsychoSocial Med</em>. 2017;11:1-10.
Volume 2, Issue 4, 2024
Page : 99-105
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