Introduction: Obesity is an alarming problem worldwide and it antedates insulin resistance (IR) as well as inflammation. Considering financial condition of Bangladesh, TyG index can be used for assessment of insulin resistance. As CRP and ferritin usually respond to any inflammatory condition, they are expected to be raised in obesity. Early detection of association between TyG index and inflammatory markers (CRP & ferritin) can help in prediction of severity of obesity induced health risks. Materials and Methods: A cross sectional analytical study was conducted in the Department of Biochemistry and Molecular Biology, (BSMMU) from March, 2022 to February, 2023. BMI was calculated, and individuals were classified into three obesity phenotypes: phenotype A (obese BMI, non-obese WC), phenotype B (non-obese BMI, obese WC), and phenotype C (obese BMI, obese WC). The Triglyceride-Glucose (TyG) index, serum ferritin, and CRP were assessed, and their correlations were analyzed across different obesity phenotypes. Results: TyG index was significantly higher in phenotype C compared to A & B. Plasma CRP and ferritin level were found to be highest in phenotype C in comparison to phenotype A and phenotype B. A moderate positive correlation was found between TyG index and serum ferritin but not with CRP in subjects belonging phenotype B. Very low positive correlation was found between CRP and ferritin in subjects of phenotype C. Conclusion: A significant association was shown between TyG index and serum ferritin among phenotype B. Plasma CRP showed no significant association with TyG index among different obesity phenotypes.
Published in | Advances in Biochemistry (Volume 12, Issue 3) |
DOI | 10.11648/j.ab.20241203.14 |
Page(s) | 112-117 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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TyG Index, Plasma CRP, Serum Ferritin, Obesity Phenotypes, Non-Diabetic Adult
[1] | Finkelstein E. A, et al. Obesity and severe obesity forecasts through 20 Am. J. Prev. Med. 2012; 42(6): 563–570. |
[2] | Haslam D, James W. Obesity, (2005), Lancet, 366(9492): 1197–209. |
[3] | World Health Organization. Obesity and Overweight—Fact Sheet, |
[4] | Després JP, Body fat distribution and risk of cardiovascular disease: an update. Circulation, 2012; 126(10): 1301–13. |
[5] | Wallace TM, Levy JC, Matthews DR, Use and abuse of HOMA modeling. Diabetes Care; 2004; 27: 1487–95. |
[6] | Unger Gisela, Silvia Fabiana Benozzi, Fernando Perruzza, Graciela Laura Pennacchiotti, Triglycerides and glucose index: a useful indicator of insulin resistance; Endonu- 2014; 621; No. of Pages 8; |
[7] | Longo M., et al. Adipose tissue dysfunction as determinant of obesity-associated metabolic complications. Int. J. Mol. Sci. 2019; 20(9). |
[8] | Belfki, H., Ben Ali, S., Bougatef, S., Ben Ahmed, D., Haddad, N., Jmal, A. et al. Association between C-reactive protein and type 2 diabetes in a Tunisian population. Inflammation. 2012; 35(2): 684–6. |
[9] | Choi J, Joseph L, Pilote L. Obesity and C-reactive protein in various populations: a systematic review and meta-analysis. Obesity Rev.2013; 14: 232-2. |
[10] | Zafon C, Lecube A, Simo R. Iron in obesity. An ancient mi- cronutrient for a modern disease. Obes Rev.2010; (11): 322-328. |
[11] | Kratz A, Ferraro M, Sluss PM, Lewandrowski KB. Case rec- ords of the Massachusetts General Hospital. Weekly clinico- pathological exercises. Laboratory reference values. N Engl J Med. 2004; 351: 1548–15. |
[12] | Ardern, C. I., Katzmarzyk, P. T., Janssen, I. and Ross, R, (2003), Discrimination of health risk by combined body mass index and waist circumference. Obesity research, 11(1), 135-1 |
[13] |
World Health Organization (WHO). Obesity and Overweight. Fact Sheet N◦3 20 Available online:
https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 17 September 2020) |
[14] | World Health Organization, Obesity and overweight Fact sheet N°311, (2014). |
[15] | Harbuwono Dante S., Laurentius A. Pramono, Em Yunir, Imam Subekti. Obesity and central obesity in Indonesia: evi- dence from a national health survey. Med J Indones.2018; 27: 114. |
[16] | Gyllenhammer, L. E., Alderete, T. L., Toledo-Corral, C. M., Weigensberg, M., and Goran, M. I. (2016). Saturation of sub- cutaneous adipose tissue expansion and accumulation of ec- topic fat associated with metabolic dysfunction during late and post-pubertal growth. International journal of obesity (2005), 40(4), 601–6. |
[17] | Park, H. S., and Lee, K. Greater beneficial effects of visceral fat reduction compared with subcutaneous fat reduction on parameters of the metabolic syndrome: a study of weight re- duction programmes in subjects with visceral and subcutane- ous obesity. Diabetic medicine: a journal of the British Dia- betic Association.2005; 22(3), 266–2. |
[18] | J. M. Fernandez-Real, A. Lopez-Bermejo, and W. Ricart, “Crosstalk between iron metabolism and diabetes,” Diabetes, vol. 51, no. 8, pp. 2348–2354, 2002. |
[19] | F. Alam, F. Fatima, S. Orakzai, N. Iqbal, and S. S. Fatima, “Ele vated levels of ferritin and hs-CRP in type 2 diabetes,” Journal of the Pakistan Medical Association, vol. 64, no. 12, pp. 1389 1391, 2014. |
[20] | Yu L, Yan J, Zhang Q, Lin H, Zhu L, Liu Q, Zhao C. Associa- tion between Serum Ferritin and Blood Lipids: Influence of Diabetes and hs-CRP Levels. J Diabetes Res. 2020 Mar 24; 2020: 41386 |
APA Style
Brishti, T. W., Hoque, M., Moyenullah, M., Alam, A. (2024). Association of Triglyceride/Glucose Index with CRP and Ferritin Among Different Obesity Phenotypes of Non-diabetic Adult Bangladeshi. Advances in Biochemistry, 12(3), 112-117. https://doi.org/10.11648/j.ab.20241203.14
ACS Style
Brishti, T. W.; Hoque, M.; Moyenullah, M.; Alam, A. Association of Triglyceride/Glucose Index with CRP and Ferritin Among Different Obesity Phenotypes of Non-diabetic Adult Bangladeshi. Adv. Biochem. 2024, 12(3), 112-117. doi: 10.11648/j.ab.20241203.14
@article{10.11648/j.ab.20241203.14, author = {Tanha Waheed Brishti and Mozammel Hoque and Mohammad Moyenullah and Azmeri Alam}, title = {Association of Triglyceride/Glucose Index with CRP and Ferritin Among Different Obesity Phenotypes of Non-diabetic Adult Bangladeshi }, journal = {Advances in Biochemistry}, volume = {12}, number = {3}, pages = {112-117}, doi = {10.11648/j.ab.20241203.14}, url = {https://doi.org/10.11648/j.ab.20241203.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ab.20241203.14}, abstract = {Introduction: Obesity is an alarming problem worldwide and it antedates insulin resistance (IR) as well as inflammation. Considering financial condition of Bangladesh, TyG index can be used for assessment of insulin resistance. As CRP and ferritin usually respond to any inflammatory condition, they are expected to be raised in obesity. Early detection of association between TyG index and inflammatory markers (CRP & ferritin) can help in prediction of severity of obesity induced health risks. Materials and Methods: A cross sectional analytical study was conducted in the Department of Biochemistry and Molecular Biology, (BSMMU) from March, 2022 to February, 2023. BMI was calculated, and individuals were classified into three obesity phenotypes: phenotype A (obese BMI, non-obese WC), phenotype B (non-obese BMI, obese WC), and phenotype C (obese BMI, obese WC). The Triglyceride-Glucose (TyG) index, serum ferritin, and CRP were assessed, and their correlations were analyzed across different obesity phenotypes. Results: TyG index was significantly higher in phenotype C compared to A & B. Plasma CRP and ferritin level were found to be highest in phenotype C in comparison to phenotype A and phenotype B. A moderate positive correlation was found between TyG index and serum ferritin but not with CRP in subjects belonging phenotype B. Very low positive correlation was found between CRP and ferritin in subjects of phenotype C. Conclusion: A significant association was shown between TyG index and serum ferritin among phenotype B. Plasma CRP showed no significant association with TyG index among different obesity phenotypes. }, year = {2024} }
TY - JOUR T1 - Association of Triglyceride/Glucose Index with CRP and Ferritin Among Different Obesity Phenotypes of Non-diabetic Adult Bangladeshi AU - Tanha Waheed Brishti AU - Mozammel Hoque AU - Mohammad Moyenullah AU - Azmeri Alam Y1 - 2024/09/26 PY - 2024 N1 - https://doi.org/10.11648/j.ab.20241203.14 DO - 10.11648/j.ab.20241203.14 T2 - Advances in Biochemistry JF - Advances in Biochemistry JO - Advances in Biochemistry SP - 112 EP - 117 PB - Science Publishing Group SN - 2329-0862 UR - https://doi.org/10.11648/j.ab.20241203.14 AB - Introduction: Obesity is an alarming problem worldwide and it antedates insulin resistance (IR) as well as inflammation. Considering financial condition of Bangladesh, TyG index can be used for assessment of insulin resistance. As CRP and ferritin usually respond to any inflammatory condition, they are expected to be raised in obesity. Early detection of association between TyG index and inflammatory markers (CRP & ferritin) can help in prediction of severity of obesity induced health risks. Materials and Methods: A cross sectional analytical study was conducted in the Department of Biochemistry and Molecular Biology, (BSMMU) from March, 2022 to February, 2023. BMI was calculated, and individuals were classified into three obesity phenotypes: phenotype A (obese BMI, non-obese WC), phenotype B (non-obese BMI, obese WC), and phenotype C (obese BMI, obese WC). The Triglyceride-Glucose (TyG) index, serum ferritin, and CRP were assessed, and their correlations were analyzed across different obesity phenotypes. Results: TyG index was significantly higher in phenotype C compared to A & B. Plasma CRP and ferritin level were found to be highest in phenotype C in comparison to phenotype A and phenotype B. A moderate positive correlation was found between TyG index and serum ferritin but not with CRP in subjects belonging phenotype B. Very low positive correlation was found between CRP and ferritin in subjects of phenotype C. Conclusion: A significant association was shown between TyG index and serum ferritin among phenotype B. Plasma CRP showed no significant association with TyG index among different obesity phenotypes. VL - 12 IS - 3 ER -