Correlates of resistin and retinol-binding protein 4 in metabolic syndrome patients with and without prediabetes
-
Abeer Abu Horan
,
Maysa Suyagh
Abstract
Background
Resistin and retinol-binding protein 4 (RBP4) can work in an intricate in metabolic syndrome (MetS) and prediabetes (PreDM) molecular crosstalk.
Materials and methods
Resistin and RBP4 were evaluated using colorimetric enzyme-linked immunosorbent assays (ELISAs) in 29 normoglycemic MetS, 30 newly diagnosed drug naïve MetS-preDM patients and 29 lean and normoglycemic controls.
Results
In this cross-sectional design; the gradual increase in resistin levels (ng/mL), though not ascribed any statistically marked variation, was appreciable in both normoglycemic and preDM MetS groups vs. controls. RBP4 mean circulating levels (ng/mL) in both MetS groups (non-diabetic and preDM) invariably lacked discrepancy vs. controls. Except for fasting plasma glucose (FPG) and A1C; no further intergroup discrepancy could be identified between MetS arms. Adiposity indices: body mass index (BMI), body adiposity index (BAI) and lipid accumulation product (LAP) (but not conicity index) were substantially higher in both MetS (non- and preDM) groups vs. those of controls. Likewise, the atherogenicity index of plasma [but not non-high-density lipoprotein-cholesterol (nonHDL-C)/HDL-C ratio, or triglyceride (TG)/HDL-C ratio] or any of the hematological indices [red cell distribution width (RDW-CV %), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR) and platelet (PLT) to lymphocyte ratios (PLR)] had any marked variations as compared to controls. Low-density lipoprotein-cholesterol (LDL-C)/HDL-C ratio,visceral adiposity index, and waist circumference (WC)/hip circumference (HC) ratio were noticeably greater in MetS-preDM vs. normoglycemic MetS recruits. Neither biomarker could relate to each other, or any of the atherogenecity indices in 59 MetS participants (non- and preDM). Unlike RBP4; resistin associated proportionally with each of HC, BAI, MLR and NLR.
Conclusions
Both biomarkers can be putative indicator/surrogate prognostic tools for the prediction/prevention and pharmacotherapy of MetS anomalies.
Acknowledgment
The authors are thankful for the Deanship of Academic Research and Quality Assurance/The University of Jordan for supporting this research.
Author Statement
Research funding: Authors state no funding was involved.
Conflict of interest: The authors declare none.
Informed consent: Informed consent has been obtained from the participants.
Ethical approval: The study was approved by the Institutional Review Board (IRB) of the JUH.
References
[1] Jamaluddin MS, Weakley SM, Yao Q, Chen C. Resistin: functional roles and therapeutic considerations for cardiovascular disease. Br J Pharmacol. 2012;165:622–32.10.1111/j.1476-5381.2011.01369.xSuche in Google Scholar PubMed PubMed Central
[2] Park HK, Kwak MK, Kim HJ, Ahima RS. Linking resistin, inflammation and cardiometabolic diseases. Korean J Intern Med. 2017;32:239–47.10.3904/kjim.2016.229Suche in Google Scholar PubMed PubMed Central
[3] Perduca M, Nicolis S, Mannucci B, Galliano M, Monoaco HL. Human plasma retinol-binding protein (RBP4) is also a fatty acid-binding protein. Biochim Biophys Acta. 2018;1863:458–66.10.1016/j.bbalip.2018.01.010Suche in Google Scholar PubMed
[4] Ram J, Snehalatha C, Selvam S, Nadditha A, Shetty AS, Godsland IF, et al. Retinol-binding protein-4 predicts incident diabetes in Asian Indian men with prediabetes. Biofactors. 2015;41:160–5.10.1002/biof.1209Suche in Google Scholar PubMed
[5] Andrade-Oliveira V, Camera NO, Moraes-Vieira PM. Adipokines as drug targets in diabetes and underlying disturbances. J Diabetes Res. 2015;2015:681612.10.1155/2015/681612Suche in Google Scholar PubMed PubMed Central
[6] Cho YM, Min S, Youn B, Kwak SH, Lee H, Lee HK, et al. Plasma retinol-binding protein-4 concentrations are elevated in human subjects with impaired glucose tolerance and type 2 diabetes. Diabetes Care. 2006;29:2457–61.10.2337/dc06-0360Suche in Google Scholar PubMed
[7] Tönjes A, Fasshauer M, Kratzsch J, Stumvoll M, Blüher M. Adipokine pattern in subjects with impaired fasting glucose and impaired glucose tolerance in comparison to normal glucose tolerance and diabetes. PLoS One. 2010;5(11):e13911.10.1371/journal.pone.0013911Suche in Google Scholar PubMed PubMed Central
[8] Meisinger C, Ruckert IM, Rathmann W, Doring A. Retinol-binding protein4 is associated with prediabetes in adults from the general population. Diabetes Care. 2011;34:1648–50.10.2337/dc11-0118Suche in Google Scholar PubMed PubMed Central
[9] Yang Q, Graham TE, Mody N, Preitner F, Peroni OD, Zabolotny JM, et al. Serum retinol binding protein 4 contributes to insulin resistance in obesity and type 2 diabetes. Nature. 2005;436:356–62.10.1038/nature03711Suche in Google Scholar PubMed
[10] Tabesh M, Noroozi A, Amini M, Feizi A, Saraf-Bank S, Zare M. Association of retinol-binding protein 4 with metabolic syndrome in first-degree relatives of type 2 diabetic patients. J Res Med Sci. 2017;22:28–32.10.4103/1735-1995.200270Suche in Google Scholar PubMed PubMed Central
[11] Yamaaki N, Yagi K, Kobayashi J, Nohara A, Ito N, Asano A, et al. Impact of serum retinol-binding protein4 levels on regulation of remnant-like particles triglyceride in type 2 diabetes mellitus. J Diabetes Res. 2013;2013:143515.10.1155/2013/143515Suche in Google Scholar PubMed PubMed Central
[12] Flegal KM, Kit BK, Graubard BI. Body mass index categories in observational studies of weight and risk of death. Am J Epidemiol. 2014;180:288–96.10.1093/aje/kwu111Suche in Google Scholar PubMed PubMed Central
[13] International Diabetes Foundation (IDF). (2006), Worldwide definition of the metabolic syndrome. The IDF consensus worldwide definition of the metabolic syndrome, 1–19.Suche in Google Scholar
[14] American Diabetic Association (ADA). Standards of medical care in diabetes. Diabetes Care. 2018;40:S11–24.Suche in Google Scholar
[15] Oliveira RG, Guedes DP. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents. BMC Pediatr. 2018;18:33.10.1186/s12887-018-1030-1Suche in Google Scholar PubMed PubMed Central
[16] Fedewa MV, Nickerson BS, Esco MR. Associations of body adiposity index, waist circumference, and body mass index in young adults. Clin Nutr. 2018; DOI: 10.1016/j.clnu.2018.03.014.Suche in Google Scholar PubMed
[17] Chiang JK, Koo M. Lipid accumulation product: a simple and accurate index for predicting metabolic syndrome in Taiwanese people aged 50 and over. BMC Cardiovasc Disord. 2012;12:78.10.1186/1471-2261-12-78Suche in Google Scholar PubMed PubMed Central
[18] Amato MC, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M, et al. Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010;33:920–2.10.2337/dc09-1825Suche in Google Scholar PubMed PubMed Central
[19] Uruska A, Zozulinska-Ziolkiewicz D, Niedzwiecki P, Pietrzak M, Wierusz-Wysocka B. TG/HDL-C ratio and visceral adiposity index may be useful in the assessment of insulin resistance in adults with type 1 diabetes in clinical practice. J Clin Lipidol. 2018;12(3):734–740.10.1016/j.jacl.2018.01.005Suche in Google Scholar PubMed
[20] Gateva A, Assyov Y, Tsakova A, Kamenov Z. Classical (adiponectin, leptin, resistin) and new (chemerin, vaspin, omentin) adipocytokines in patients with prediabetes. Horm Mol Biol Clin Investig. 2018;34(1). DOI: 10.1515/hmbci-2017-0031.Suche in Google Scholar PubMed
[21] Tabak O, Simsek G, Erdenen F, Sozer V, Hasoglu T, Gelisgen R, et al. The relationship between circulating irisin, retinol binding protein-4, adiponectin and inflammatory mediators in patients with metabolic syndrome. Arch Endocrinol Metab. 2017;61:515–23.10.1590/2359-3997000000289Suche in Google Scholar PubMed
[22] Pandey GK, Balasubramanyam J, Balakumar M, Deepa M, Anjana RM, Abhijit S, et al. Altered circulating levels of retinol binding protein4 and transthyretin in relation to insulin resistance, obesity and glucose intolerance in Asian Indians. Endocr Pract. 2015;21:861–9.10.4158/EP14558.ORSuche in Google Scholar PubMed
[23] Bilir BE, Guldiken S, Tuncbilek N, Demir AM, Polat A, Bilir B. The effects of fat distribution and some adipokines on insulin resistance in subjects with prediabetes. Endokrynologia Polska. 2016;67(3):277–82.10.5603/EP.a2016.0023Suche in Google Scholar
[24] Cheng X, Zhang H. Serum retinal-binding protein4 is positively related to insulin resistance in Chinese subjects with type2 diabetes. Diabetes Res Clin Pract. 2009;84:58–60.10.1016/j.diabres.2009.01.007Suche in Google Scholar PubMed
[25] Al-Rawasdeh A, Kasabri V, Bulatova N, Akour A, Zayed A, Momani M, et al. The correlation between plasma levels of oxytocin and betatrophin in non-diabetic and diabetic metabolic syndrome patients: a cross sectional study from Jordan. Diabetes Metab Syndr. 2017;11:59–67.10.1016/j.dsx.2016.08.008Suche in Google Scholar PubMed
[26] Akour A, Kasabri V, Bulatova N, Al Muhaissen S, Naffa R, Fahmawi H, et al. Association of oxytocin with glucose intolerance and inflammation biomarkers in metabolic syndrome patients with and without prediabetes. Rev Diabet Stud. 2018;14:364–71.10.1900/RDS.2017.14.364Suche in Google Scholar PubMed PubMed Central
Supplementary Material
The online version of this article offers supplementary material (DOI: https://doi.org/10.1515/hmbci-2018-0051).
©2019 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Original Articles
- The effects of estradiol and testosterone on renal tissues oxidative after central injection of angiotensin II in female doca – salt treated rats
- Correlates of resistin and retinol-binding protein 4 in metabolic syndrome patients with and without prediabetes
- Correlates of zinc finger BED domain-containing protein 3 and ghrelin in metabolic syndrome patients with and without prediabetes
- Copper and zinc in stage I multiple myeloma: relation with ceruloplasmin, lipid peroxidation, and superoxide dismutase activity
- Short Communication
- Ovarian reserve in adolescent girls born prematurely
Artikel in diesem Heft
- Original Articles
- The effects of estradiol and testosterone on renal tissues oxidative after central injection of angiotensin II in female doca – salt treated rats
- Correlates of resistin and retinol-binding protein 4 in metabolic syndrome patients with and without prediabetes
- Correlates of zinc finger BED domain-containing protein 3 and ghrelin in metabolic syndrome patients with and without prediabetes
- Copper and zinc in stage I multiple myeloma: relation with ceruloplasmin, lipid peroxidation, and superoxide dismutase activity
- Short Communication
- Ovarian reserve in adolescent girls born prematurely
