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Studies on the role of retinol binding protien-4 in type 2 diabetic Iraqi patients with metabolic syndrome

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Abstract

Several adipokines are produced and secreted from adipose tissue, such as retinol binding protein-4, which triggers metabolic syndromes and insulin resistance. Retinol binding protein-4 transfers vitamin A or retinol in the blood. Higher levels of retinol binding protein-4 are interrelated with progress of metabolic disease, comprising obesity, metabolic syndrome, and type 2 diabetes mellitus. The present study investigates the role of retinol-binding protein-4 levels in type 2 diabetic Iraqi patients with metabolic syndrome. Sixty type 2 diabetic patients aged 40–53 years were examined. Of these 30 patients has metabolic syndrome and 30 without metabolic syndrome. The patients sampled were from the National Diabetes Center/ Mustansiriyah University from February 2022 until the end of August 2022. All diabetic patients have been examined and diagnosed from specialist endocrinology. Also, 30 healthy individuals were selected as control group. Anthropometric and clinical characteristics for all participants were assessed. Serum retinol binding protein-4 concentration was considerably elevated in diabetic patients as paralleled to the control (3.00 ± 0.66 ρg/mL with metabolic syndrome and 2.42 ± 0.88 ρg/mL without metabolic syndrome). It is observed that female patients with metabolic syndrome had higher concentrations of retinol binding protein-4 (RBP-4) as compared to the male patients. Serum retinol binding protein-4 is strongly correlated with metabolic syndrome. As such concentration of RBP-4 offers enhanced prognostic value over traditional practices, and may be used for early detection of MetS in public health services.

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References

  1. Abagre TA, Bandoh DA, Addo-Lartey AA. Determinants of metabolic syndrome among patients attending diabetes clinics in two sub-urban hospitals: Bono Region Ghana. BMC Cardiovasc Disord. 2022;22(366):1–13. https://doi.org/10.1186/s12872-022-02805-4.

    Article  CAS  Google Scholar 

  2. Ahmed HS. Correlations between serum interleukins-2,-4 levels and some biochemical parameters in Iraqi patients with osteoporosis. Fac Med Baghdad. 2017;59(3):275–9. https://doi.org/10.32007/jfacmedbagdad.593103.

    Article  Google Scholar 

  3. Ahmed HS. Serum adropin and apelin as potential markers predicting acute heart failure-associated renal dysfunction among elderly Iraqi patients. Ann Trop Med Public Health. 2020;23(10):1–15. https://doi.org/10.36295/asro.2020.231024.

    Article  Google Scholar 

  4. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart J, James WBT, Loria CM, Smith Jr SC, International Diabetes Federation Task Force on Epidemiology and Prevention, Hational Heart, Lung, and Blood Institute, American Heart Association; World Heart Federation, International Atherosclerosis Society, and International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; and international. Circulation. 2009;120(16):1640–1645. (Epub 2009 Oct 5).

  5. An C, Wang H, Liu X, Li Y, Su Y, Gao X, Jiang W. Serum retinol binding protein 4 is elevated and positively associated with insulin resistance in postmenopausal women. Endocr J. 2009;56(8):987–96. https://doi.org/10.3390/ijms21155229.

    Article  CAS  PubMed  Google Scholar 

  6. Banik SD, Pacheco-Pantoja E, Lugo R, Gomez-de-Regil L, Chim Ake R, Mendez Gonzalez RM, Solis ALG. Evaluation of anthropometric indexes and lipid parameters to predict metabolic syndrome among adults in Mexico. Diabetes Metab Syndr Obes. 2021;2021(14):691–701. https://doi.org/10.2147/DMSO.S281894.

    Article  Google Scholar 

  7. Chu SY, Jung JH, Park MJ, Kim SH. Risk assessment of metabolic syndrome in adolescents using the triglyceride/high density lipoprotein cholesterol ratio and the total cholesterol/high-density lipoprotein cholesterol ratio. Ann Pediatr Endocrinol Metab. 2019;24(1):41–8. https://doi.org/10.6065/apem.2019.24.1.41.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Cin NNA, Yardımci H, Koc N, Uçakturk SA, Ok MA. Triglycerides/high-density lipoprotein cholesterol is a predictor similar to the triglyceride-glucose index for the diagnosis of metabolic syndrome using international diabetes federation criteria of insulin resistance in obese adolescents: a cross-sectional study. J Pediatr Endocrinol Metab. 2020;33(6):777–84. https://doi.org/10.1515/jpem-2019-0310.

    Article  CAS  Google Scholar 

  9. Do R, Willer CJ, Schmidt EM, Sengupta S, Gao C, Peloso GM. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013;45(11):1345–52. https://doi.org/10.1038/ng.2795. (Epub 2013 Oct 6).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Dobiasova M, Frohlich J. The plasma parameter log (TG/HDLC) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FERHDL). Clin Biochem. 2001;34(7):583–8. https://doi.org/10.1016/s0009-9120(01)00263-6.

    Article  CAS  PubMed  Google Scholar 

  11. Dobiasova M. AIP-atherogenic index of plasma as a significant predictor of cardiovascular risk: From research to practice. Vnitr Lek. 2006;52(1):64–71.

    CAS  PubMed  Google Scholar 

  12. Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365(9468):1415–28. https://doi.org/10.1016/S0140-6736(05)66378-7.

    Article  CAS  PubMed  Google Scholar 

  13. Essiarab F, Taki H, Lebrazi H, Sabri M, Saile R. Usefulness of lipid ratios and atherogenic index of plasma in obese Moroccan women with or without metabolic syndrome. Ethn Dis. 2014;24(2):207–12.

    PubMed  Google Scholar 

  14. Gadde KM, Martin CK, Berthoud H-R, Heymsfield SB. Obesity, pathophysiology and management. J Am Coll Cardiol. 2018;71(1):69–84. https://doi.org/10.1016/j.jacc.2017.11.011.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ghyselinck NB, Duester G. Retinoic acid signaling pathways. Development. 2019;146(13):dev.67502. https://doi.org/10.1242/dev.167502.

    Article  CAS  Google Scholar 

  16. Ginsberg HN. New perspectives on atherogenesis: Role of abnormal triglyceride-rich lipoprotein metabolism. Circulation. 2002;106(16):2137–42. https://doi.org/10.1161/01.CIR.0000035280.64322.31.

    Article  PubMed  Google Scholar 

  17. Goossens GH, Jocken JWE, Blaak EE. Sexual dimorphism in cardiometabolic health: the role of adipose tissue, muscle and liver. Nat Rev Endocrinol. 2021;17(1):47–66. https://doi.org/10.1038/s41574-020-00431-8.

    Article  PubMed  Google Scholar 

  18. Hamza MA, AL-Tamer YY, AL-Habib OA. Modification of irisin level in overweight/obese women during pregnancy and its association with some metabolic risk factors. Baghdad Sci J. 2020;17(3):1124–32.

    Article  Google Scholar 

  19. Hermans MP, Sacks FM, Ahn SA, Rousseau MF. Non-HDL-cholesterol as valid surrogate to apolipoprotein B100 measurement in diabetes: discriminant ratio and unbiased equivalence. Cardiovasc Diabetol. 2011;10(20):1–7. https://doi.org/10.1186/1475-2840-10-20.

    Article  CAS  Google Scholar 

  20. Karamfilova V, Gateva A, Alexiev A, Zheleva N, Velikova T, Ivanova-Boyanova R, Ivanova R, Cherkezov N, Kamenov Z, Mateva L. The association between retinol-binding protein 4 and prediabetes in obese patients with nonalcoholic fatty liver disease. Arch Physiol Biochem. 2022;128(1):217–22. https://doi.org/10.1080/13813455.2019.1673429.

    Article  CAS  PubMed  Google Scholar 

  21. Kilicarslan M, de Weijer BA, Simonyte Sjodin K, Aryal P, Ter Horst KW, Cakir H, Brzozowska A, Szybalska A, Puzianowska-Kuznicka M, Grodzicki T, Więcek A, Olszanecka-Glinianowicz M, Chudek J. RBP4 increases lipolysis in human adipocytes and is associated with increased lipolysis and hepatic insulin resistance in obese women. FASEB J. 2020;34(5):6099–110. https://doi.org/10.1096/fj.201901979RR.

    Article  CAS  PubMed  Google Scholar 

  22. Krawczyk M, Ruminska M, Witkowska-Sedek E, Majcher A, Pyrzak B. Usefulness of the triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) in prediction of metabolic syndrome in polish obese children and adolescents. Acta Biochim Pol. 2018;65(4):605–11. https://doi.org/10.18388/abp.2018_2649.

    Article  CAS  PubMed  Google Scholar 

  23. Li N, Fu J, Koonen DP, Kuivenhoven JA, Snieder H, Hofker MH. Are hypertriglyceridemia and low HDL causal factors in the development of insulin resistance? Atherosclerosis. 2014;233(1):130–8. https://doi.org/10.1016/j.atherosclerosis.2013.12.013.

    Article  CAS  PubMed  Google Scholar 

  24. Lima VC, Lyra CO, Pinheiro LGB, de Azevedo PRM, Arrais RF, Pedrosa LFC. Association between dyslipidemia and anthropometric indicators in adolescents. Nutr Hosp. 2011;26(2):304–10. https://doi.org/10.1590/S0212-16112011000200010.

    Article  CAS  Google Scholar 

  25. Majerczyk M, Kocełak P, Choręza P, Arabzada H, Owczarek AJ, Bozentowicz-Wikarek M, Brzozowska A, Szybalska A, Puzianowska-Kuźnicka M, Grodzicki T, Więcek A, Olszanecka-Glinianowicz M, Chudek J. Components of metabolic syndrome in relation to plasma levels of retinol binding protein 4 (RBP4) in a cohort of people aged 65 years and older. J Endocrinol Investig. 2018;41(10):1211–9. https://doi.org/10.1007/s40618-018-0856-6.

    Article  CAS  Google Scholar 

  26. Mateo-Gallego R, Lamiquiz-Moneo I, Perez-Calahorra S, Marco-Benedi V, Bea AM, Baila-Rueda L, Laclaustra M, Penalvo JL, Civeira F, Cenarro A. Different protein composition of low-calorie diet differently impacts adipokine profile irrespective of weight loss in overweight and obese women. Nutr Metab Cardiovasc Dis. 2019;28(2):133–42. https://doi.org/10.1016/j.numecd.2017.10.024.

    Article  CAS  Google Scholar 

  27. Mogre V, Salifu ZS, Abedandi R. Prevalence, components and associated demographic and lifestyle factors of the metabolic syndrome in type 2 diabetes mellitus. J Diabetes Metab Disord. 2014;13(1):80. https://doi.org/10.1186/2251-6581-13-80.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Moraes-Vieira PM, Yore MM, Sontheimer-Phelps A, Castoldi A, Norseen J, Aryal P, Sjodin KS, Kahn BB. Retinol binding protein 4 primes the NLRP3 inflammasome by signaling through Toll-like receptors 2 and 4. Proc Natl Acad Sci USA. 2020;117(49):31309–18. https://doi.org/10.1073/pnas.2013877117.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Nankam NPA, Bluher M. Retinol-binding protein 4 in obesity and metabolic dysfunctions. Mol Cell Endocrinol. 2021;531(111312):1–14. https://doi.org/10.1016/j.mce.2021.111312.

    Article  CAS  Google Scholar 

  30. Nie G, Hou S, Zhang M, Peng W. High TG/HDL ratio suggests a higher risk of metabolic syndrome among an elderly Chinese population: a cross-sectional study. BMJ Open. 2021;11(3):e041519. https://doi.org/10.1136/bmjopen-2020-041519.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Noh MFM, Gunasegavan RDN, Mustar S. Vitamin A in health and disease. Vitamin A. 2019. https://doi.org/10.5772/intechopen.84460.

    Article  Google Scholar 

  32. Radetti G, Fanolla A, Grugni G, Lupi F, Sartorio A. Indexes of adiposity and body composition in the prediction of metabolic syndrome in obese children and adolescents: Which is the best? Nutr Metab Cardiovasc Dis. 2019;29(11):1189–96. https://doi.org/10.1016/j.numecd.2019.06.011.

    Article  PubMed  Google Scholar 

  33. Rajaei E, Jalali MT, Shahrabi S, Asnafi AA, Pezeshki SMS. HLAs in autoimmune diseases: dependable diagnostic biomarkers? Curr Rheumatol Rev. 2019;15(4):269–76. https://doi.org/10.2174/1573397115666190115143226.

    Article  CAS  PubMed  Google Scholar 

  34. Raoof EM, Ahmed HS. Circulating adipsin as biomarker and its implication in type 2 diabetes mellitus. IJDDT. 2022;12(2):588–93.

    Google Scholar 

  35. Reaven GM. Banting lecture. Role of insulin resistance in human disease. Nutrition. 1988;37(12):1595–607.

    CAS  Google Scholar 

  36. Sadiq GH, Hussein RH, Maulood IM. Ghrelin and leptin and their relations with insulin resistance in diabetes mellitus type 2 patients. Baghdad Sci J. 2022;19(1):33–42.

    Article  Google Scholar 

  37. Salman ED, Ahmed HS. Bone mineral density and vitamin D status among postmenopausal Iraqi women. Plant Arch. 2020;20(2):4613–20.

    Google Scholar 

  38. Sheth J, Shah A, Sheth F, Trivedi S, Nabar N, Shah N, Thakor P, Vaidya R. The association of dyslipidemia and obesity with glycated hemoglobin. Clin Diabetes Endocrinol. 2015;1(1):1–7. https://doi.org/10.1186/s40842-015-0004-6.

    Article  Google Scholar 

  39. Steinhoff JS, Lass A, Schupp M. Biological functions of RBP4 and its relevance for human diseases. Front Physiol. 2021;12(659977):1–15. https://doi.org/10.3389/fphys.2021.659977.

    Article  Google Scholar 

  40. Taheri S, Zaghloul H, Chagoury O, Elhadad S, Ahmed SH, El Khatib N, Amona RA, El Nahas K, Suleiman N, Alnaama A, Al-Hamaq A, Charlson M, Wells MT, Al-Abdulla S, Abou-Samra A. Effect of intensive lifestyle intervention on bodyweight and glycaemia in early type 2 diabetes (DIADEMI): an open-label, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2020;8(6):477–89. https://doi.org/10.1016/S2213-8587(20)30117-0.

    Article  PubMed  Google Scholar 

  41. Tahir NT, Ahmed HS, Mohsen FY. Vitamin D and risk of osteoarthritis among Iraqi patients with and without metabolic syndrome. Plant Arch. 2020;20(1):2731–6.

    Google Scholar 

  42. Turki KM, Ahmed HS, Saifullah PH. Leptin and insulin resistance in type 2 diabetic Iraqi patients. IJAERS. 2012;1(3):232–4.

    Google Scholar 

  43. Vanavanan S, Srisawasdi P, Rochanawutanon M, Kumproa N, Kruthkul K, Kroll MH. Performance of body mass index and body fat percentage in predicting cardiometabolic risk factors in Thai adults. Diabetes Metab Syndr Obes. 2018;11:241–53. https://doi.org/10.2147/DMSO.S167294.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Wang Y, Sun L, Lin X, Yuan JM, Koh WP, Pan A. Retinol binding protein 4 and risk of type 2 diabetes in Singapore Chinese men and women: a nested case-control study. Nutr Metab (Lond). 2019;16(3):1–11. https://doi.org/10.1186/s12986-018-0329-0.

    Article  Google Scholar 

  45. WHO. Classification of Diabetes Mellitus. World Health Organization; 2019:1–40. https://apps.who.int/iris/rest/bitstreams/1233344/retrieve.

  46. Zhou W, Ye SD, Chen C, Wang W. Involvement of RBP4 in diabetic atherosclerosis and the role of vitamin D intervention. J Diabetes Res. 2018;2018(7329861):1–9. https://doi.org/10.1155/2018/7329861.

    Article  CAS  Google Scholar 

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Acknowledgements

Authors express sincere gratitude to the National Diabetes Center/ Mustansiriyah University, Baghdad, Iraq for facilities, and the patients who gave their consent to participate in this study.

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Authors and Affiliations

  1. National Diabetes Center, Mustansiriyah University, Baghdad, Iraq

    Noor Thair Tahir

  2. Department of Chemistry/College of Education for Pure Science (Ibn Al Haitham), University of Baghdad, Baghdad, Iraq

    Hind Shakir Ahmed

  3. Department of Microbiology, College of Science, Al-Karkh University for Science, Baghdad, Iraq

    Hiba Shakir Ahmed

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NTT performed the experimental study, HSA and HSA conceived and supervised the study, all authors have revised the manuscript and accepted the last version.

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Correspondence to Hind Shakir Ahmed.

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Tahir, N.T., Ahmed, H.S. & Ahmed, H.S. Studies on the role of retinol binding protien-4 in type 2 diabetic Iraqi patients with metabolic syndrome. Nucleus (2023). https://doi.org/10.1007/s13237-023-00430-w

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