A Comparative Biochemical Study Between Patient’s Obese and Healthy

Authors

Asmaa Salman Department of chemistry, College of science for women, University of Baghdad, Baghdad Iraq
Perry Saifullah Department of chemistry, College of science for women, University of Baghdad,Baghdad Iraq.

DOI:

https://doi.org/10.30526/36.2.3036

Keywords:

obesity, visceral fat, lipid profile, insulin resistance, type 2 diabetes mellitus.

Abstract

Objectives: Obesity rates have increased globally with increase in the incidence of comorbidities especially type 2 diabetes mellitus. A cross-sectional study was conducted on healthy obese adults to estimate: (i) comparisons of anthropometric indicators, lipid profile, and glycemic profile in obese compared with non-obese, and (ii) the association of anthropometrics and lipid profile with glycemic profile in obese adults. Methods: The study includes 120 individual with aged ranged (25 – 55) years were enrolled in this study. They were divided into two groups: group one (G1) consist of 90 patients with a body mass index (BMI) of more than 25 kg/m². Group two (G2) of 30 healthy adults as a control group with (BMI) of less than 25 kg/m².waist circumference (WC), hip circumference (HC), and waist/hip ratio (WHR) as anthropometric indicators, and fasting serum lipid profile, glycated hemoglobin (HbA1c), and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) as biochemical variables were assessed. Statistical significance (α) was set at (p<0.05).Results: Based on independent samples T-test analysis acted as a significant comparison between non-obese and obese groups, anthropometrics and biochemical variables exhibited highly significant higher in obese compared with non-obese. Also, a positive significant correlation was found between WC and WHR with both of HOMA-IR and HbA1c. Finally, a positive significant association of HOMA-IR with triglycerides (TG), total cholesterol (TC), very low-density lipoprotein cholesterol (VLDL-C), low-density lipoprotein cholesterol (LDL-C) except for high-density lipoprotein cholesterol (HDL-C), no significance was found as well as HbA1c showed only positive significant association with LDL-C. In conclusion, the present study demonstrated that WC was the strongest indicator for increasing HOMA-IR than WHR. Also, this study revealed that abnormalities in lipid profile in obese participants have shown strong positive association with HOMA-IR, particularly LDL-C.

References

Stefan, N. Causes, consequences, and treatment of metabolically unhealthy fat distribution. The lancet Diabetes & endocrinology. 2020, 8(7), 616-627.

Klop, B.; Elte, J.W.; Castro, C.M. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients. 2013, 5(4),1218-40.

Irfan, S.R.; Safdar, A.M.; Habib, S.H.; Begum, A.; Rahman, A.; Mohibullah, A.K. Assessment of Glycaemic Status, BMI and Dyslipidemia in a Group of Official Population of Bangladesh. Bangladesh Critical Care Journal. 2017, 5(1), 42-7.

Wang, S.; Ji, X.; Zhang, Z.; Xue, F. Relationship between lipid profiles and glycemic control among patients with type 2 diabetes in Qingdao, China. International Journal of Environmental Research and Public Health. 2020, 17(15), 5317.

Hami, A.M. Association between HbA1c and Serum Lipid Profile among a sample of Iraqi Patients with Type2 Diabetes Mellitus. Journal of the Faculty of Medicine. 2021, 63(3).

Friedewald, W.T.; Levy, R.I.; Fredrickson, D.S. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical chemistry.1972, 18(6), 499-502.

Esteghamati, A.; Ashraf, H.; Esteghamati, A.R.; Meysamie, A.; Khalilzadeh, O.; Nakhjavani, M.; Abbasi, M. Optimal threshold of homeostasis model assessment for insulin resistance in an Iranian population: the implication of metabolic syndrome to detect insulin resistance. Diabetes research and clinical practice.2003, 84(3), 279-287.

Casadei,K.; Kiel, J.; Freidl, M. Triceps tendon injuries. Current sports medicine reports. 2020, 19(9), 367-72.

Kojta, I.; Chacińska, M.; Błachnio, Z. A. Obesity, bioactive lipids, and adipose tissue inflammation in insulin resistance. Nutrients. 2020, 12(5),1305.

Sripetchwandee, J.; Chattipakorn, N.; Chattipakorn, S.C. Links between obesity-induced brain insulin resistance, brain mitochondrial dysfunction, and dementia. Frontiers in endocrinology. 2018,9,496.

Ross, R.;Neeland, I.J.; Yamashita, S.; Shai, I.; Seidell, J.; Magni, P.; Santos, R.D.; Arsenault, B.; Cuevas, A.; Hu, F.B.; Griffin, B.A. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology.2020, 16(3), 177-189.

Jabłonowska-Lietz, B.; Wrzosek, M.; Włodarczyk, M.; Nowicka, G.New indexes of body fat distribution, visceral adiposity index, body adiposity index, waist-to-height ratio, and metabolic disturbances in the obese. Kardiologia Polska (Polish Heart Journal).2017, 75(11), 1185-1191.

Nadeem, M.I.; Bakar, Y.I.A.; Akram, S.; Baig, A.A. Correlation of anthropometric indices with lipid profile indices among Malay obese and non-obese subjects in Malaysia. Nutrition & Food Science. 2020, 51(2), 278-288.

Park, J.; Lee, H. Obesity as associated factors for Insulin, Fasting blood sugar, and Hemoglobin A1c in Korean adults. Journal of Digital Convergence. 2019, 17(10), 349-357.

Martinez, K.E.; Tucker, L.A.; Bailey, B.W.; LeCheminant, J.D. Expanded normal weight obesity and insulin resistance in US adults of the National Health and Nutrition Examination Survey. Journal of diabetes research. 2017, vol. 2017, 8 pages.

Boye, K.S.; Lage, M.J.; Shinde, S.; Thieu, V.; Bae, J.P. Trends in HbA1c and body mass index among individuals with type 2 diabetes: evidence from a US database 2012–2019. Diabetes Therapy. 2021, 12(7), 2077-2087.

Fernström, M.; Fernberg, U.; Hurtig-Wennlöf, A. Insulin resistance (HOMA-IR) and body fat (%) are associated to low intake of fruit and vegetables in Swedish, young adults: the cross-sectional lifestyle, biomarkers and atherosclerosis study. BMC nutrition. 2019, 5(1), 1-9.

Archana, A.V.; Ahmad, N.; Gupta, A. Study of body mass index (BMI) and serum lipid profile of patients at a tertiary hospital: A cross sectional study. Int J Res Med Sci. 2018, 6(6), 2060-2.

Eslami, O.; Shahraki, M.; Shahraki, T. Obesity indices in relation to lipid abnormalities among medical university students in Zahedan, south-east of Iran. International Journal of Preventive Medicine. 2019, 10(15).

Amini, S.; Shirali, S.; Jafarirad, S.; Ehsani, H.; Mohseni, H.; Bargard, M.S. Are lipid profile, body mass index, waist circumference, and blood pressure of depressed elderly patients different from healthy subjects?. International Journal of Preventive Medicine. 2019, 10,185.

Manawat, R.; Shweta, V.K.S. Association of anthropometric variables with dyslipidemia in obesity. National Journal of Physiology, Pharmacy and Pharmacology. 2020, 10(09), 716-721.

Kiriyama, H.; Kaneko, H.; Itoh, H.; Kamon, T.; Mizuno, Y.; Fujiu, K.; Morita, H.; Yamamichi, N.; Komuro, I. Association between changes in body weight and lipid profile in the general population: a community-based cohort study. European Heart Journal-Quality of Care and Clinical Outcomes. 2021, 7(1), 109-110.

Feingold, K. R. Obesity and dyslipidemia. Endotext [Internet]. 2020.

Rashid, S.; Kastelein, J.J. PCSK9 and resistin at the crossroads of the atherogenic dyslipidemia. Expert review of cardiovascular therapy. 2013, 11(11), 1567-77.

Moussavi Javardi, M.S.; Madani, Z.; Movahedi, A.; Karandish, M.; Abbasi, B. The correlation between dietary fat quality indices and lipid profile with Atherogenic index of plasma in obese and non-obese volunteers: A cross-sectional descriptive-analytic case-control study. Lipids in Health and Disease. 2020, 19(1), 1-9.

Moor, V.J.A.; Essama, D.B.; Agoons, B.B.; Bayem, J.C.; Marie, N.G.; Jingi, A.M.; Nkeck, J.R.; Nonga, B.N. Lipid Profile Abnormalities Observed in Obese Cameroonian Adults do not Depend on Their BMI or Abdominal Circumference. Archives of Clinical and Biomedical Research. 2022, 6(1), 30-40.

Abraham, S.; Rubino, D.; Sinaii, N.; Ramsey, S.; Nieman, L.K. Cortisol, obesity, and the metabolic syndrome: A cross‐sectional study of obese subjects and review of the literature. Obesity. 2013, 21(1), E105-E117.

Jabłonowska-Lietz, B.; Wrzosek, M.; Włodarczyk, M.; Nowicka, G. New indexes of body fat distribution, visceral adiposity index, body adiposity index, waist-to-height ratio, and metabolic disturbances in the obese. Kardiologia Polska (Polish Heart Journal). 2017, 75(11), 1185-1191.

Syafiq, W.M.; Dwipayana, I.M.P.; Saraswati, M.R.; Gotera, W. Correlation between waist circumference and glycated haemoglobin (HbA1c) among type 2 diabetes mellitus patients in Diabetic Polyclinic Sanglah General Hospital. Neurologico Spinale Medico Chirurgico. 2020, 3(2), 66-70.

Wasir, J.S.; Misra, A.; Vikram, N.K.; Pandey, R.M.; Gupta, R. Comparison of definitions of the metabolic syndrome in adult Asian Indians. JAPI. 2008, 56, 158-64.

Misra, A.; Khurana, L. The metabolic syndrome in South Asians: epidemiology, determinants, and prevention. Metabolic syndrome and related disorders. 2009, 7(6), 497-514.

Deng, J.; Wu, G.; Yang, C.; Li, Y.; Jing, Q.; Han, Y. Rosuvastatin attenuates contrast-induced nephropathy through modulation of nitric oxide, inflammatory responses, oxidative stress and apoptosis in diabetic male rats. Journal of Translational Medicine. 2015, 13(1), 1-9.

Chen, L.; Xu, W.M.; Zhang, D. Association of abdominal obesity, insulin resistance, and oxidative stress in adipose tissue in women with polycystic ovary syndrome. Fertility and Sterility. 2014, 102(4), 1167-1174.

Lin, D.; Qi, Y.; Huang, C.; Wu, M.; Wang, C.; Li, F.; Yang, C.; Yan, L.; Ren, M.; Sun, K. Associations of lipid parameters with insulin resistance and diabetes: a population-based study. Clinical Nutrition. 2018, 37(4), 1423-1429.

Balgi, V.; Harshavardan, L.; Sahna, E.; Thomas, S.K. Pattern of lipid profile abnormality in subjects with prediabetes. TC. 2017, 11(98).

Al Amri, T.; Bahijri, S.; Al-Raddadi, R.; Ajabnoor, G.; Al Ahmadi, J.; Jambi, H.; Borai, A.; Tuomilehto, J. The association between Prediabetes and dyslipidemia among attendants of primary care health centers in Jeddah, Saudi Arabia. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2019, 12, 2735.

Xiang, S.K.; Hua, F.; Tang, Y.; Jiang, X.H.; Zhuang, Q.; Qian, F.J. Relationship between serum lipoprotein ratios and insulin resistance in polycystic ovary syndrome. International journal of endocrinology. 2012, vol.2012, 4 pages.

Zheng, S.; Xu, H.; Zhou, H.; Ren, X.; Han, T.; Chen, Y.; Qiu, H.; Wu, P.; Zheng, J.; Wang, L.; Liu, W. Associations of lipid profiles with insulin resistance and β cell function in adults with normal glucose tolerance and different categories of impaired glucose regulation. PLoS One. 2017, 12(2), e0172221.

Alzahrani, S.H.; Baig, M.; Aashi, M.M.; Al-Shaibi, F.K.; Alqarni, D.A.; Bakhamees, W.H. Association between glycated hemoglobin (HbA1c) and the lipid profile in patients with type 2 diabetes mellitus at a tertiary care hospital: a retrospective study. Diabetes, metabolic syndrome and obesity: targets and therapy. 2019,12,1639.

Asato, Y.; Katsuren, K.; Ohshiro, T.; Kikawa, K.; Shimabukuro, T.; Ohta, T. Relationship between lipid abnormalities and insulin resistance in Japanese school children. Arteriosclerosis, thrombosis, and vascular biology. 2006, 26(12), 2781-6.

Rogero, M.M.; Calder, P.C. Obesity, inflammation, toll-like receptor 4 and fatty acids. Nutrients. 2018, 10(4), 432.