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Interrelations Between Inflammatory and Oxidative Stress Biomarkers in Obese Women with Two Complications (Hypertension, Diabetes)

N. Karaouzene,H. Merzouk,A. Merzouk,S. Bouanane,L. Loudjedi,S. Merzouk

Published 2019 in Romanian Journal of Diabetes Nutrition and Metabolic Diseases

ABSTRACT

Abstract Background and aims: Interaction between oxidative stress and inflammation has not been comprehensively investigated in the association obesity – diabetes - hypertension. Our aim was to investigate interrelations between inflammatory and oxidative stress biomarkers in obese women with two complications (hypertension, type 2 diabetes). Material and Methods: 54 obese patients without complications, 46 diabetic patients with obesity, 48 hypertensive diabetic obese women, and 120 healthy controls were recruited from the department of nuclear medicine (Algeria). Inflammatory and oxidative stress biomarkers were assayed by appropriate methods. Results: Inflammatory markers were significantly higher in all obese groups compared to controls. Elevated pro-oxidants and decreased antioxidant markers were noted in obese women. These alterations were accentuated when obesity was associated with hypertension and diabetes. A positive interrelationship between inflammatory mediators and oxidative status, and a negative one with antioxidants were noted during obesity. Hypertension and diabetes enhanced these correlations. Leptin, C-reactive protein, catalase, superoxide dismutase, ion superoxide, peroxynitrite were found to be the best inflammatory and oxidative stress biomarkers that can predict diabetes and hypertension in obese women. Conclusions: oxidative stress and inflammation were intimately interconnected in women obesity associated with diabetes and hypertension.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Romanian Journal of Diabetes Nutrition and Metabolic Diseases

  • Publication date

    2019-06-01

  • Fields of study

    Medicine, Environmental Science

  • Identifiers
    DOI 10.2478/rjdnmd-2019-0014
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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