Correlates of resistin and retinol-binding protein 4 in metabolic syndrome patients with and without prediabetes

Horm Mol Biol Clin Investig. 2019 Jan 23;37(3):/j/hmbci.2019.37.issue-3/hmbci-2018-0051/hmbci-2018-0051.xml. doi: 10.1515/hmbci-2018-0051.

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.

Keywords: adiposity; atherogenicity and hematological indices; metabolic syndrome; prediabetes; resistin; retinol-binding protein 4.

MeSH terms

  • Adiposity
  • Adult
  • Biomarkers / blood
  • Blood Glucose / analysis
  • Female
  • Humans
  • Male
  • Metabolic Syndrome / blood*
  • Metabolic Syndrome / complications
  • Middle Aged
  • Prediabetic State / blood*
  • Prediabetic State / etiology
  • Resistin / blood*
  • Retinol-Binding Proteins, Plasma / analysis*

Substances

  • Biomarkers
  • Blood Glucose
  • RBP4 protein, human
  • Resistin
  • Retinol-Binding Proteins, Plasma