Different end-points to assess effects in systemic lupus erythematosus patients exposed to pesticide mixtures. (1st February 2017)

• Record Type: Journal Article
• Authors: Simoniello, M.F.; Contini, L.; Benavente, E.; Mastandrea, C.; Roverano, S.; Paira, S.
• Is Part Of: Toxicology. Volume 376(2017)
• Page Start: 23
• Page End: 29
• Publication Date: 2017-02-01
• Subjects: Systemic lupus erythematosus -- Pesticides -- Oxidative DNA damage; Toxicology -- Periodicals; Chemicals -- Physiological effect -- Periodicals; 615.9005
• DOI: 10.1016/j.tox.2016.08.003
• Languages: English
• ISSNs: 0300-483X

Abstract

Abstract: Systemic Lupus Erythematosus (SLE) is an autoimmune disease with high female predominance in reproductive years. It is characterized by a pronounced inflammation and production of a variety of autoantibodies. SLE pathogenesis is influenced by genes, hormones and environmental agents. The aim of this study was assess the possible effect of environmental pesticide mixtures in SLE patients. Oxidative DNA damage was measured using the comet assay modified by enzyme Endo III for detection of oxidized bases (Endo Sites), and oxidative stress by the measurement of the activity of catalase (CAT), superoxide dismutase (SOD) and lipid peroxidation (TBARS). Eighty-nine patients with diagnosis of SLE were included, 46% of them came from areas highly sprayed with pesticides and were compared with patients from urban areas with the same clinical and socio-demographic characteristics (p ≥ 0.155). In order to identify factors that could predict DNA damage and oxidative stress, a binary logistic regression model with independent variables was developed: place of residence (p = 0.007) have 75% of positive predictive value while smoking habit (p = 0.186) have a 56% negative predictive value. The Odd Ratio (OR) obtained indicate that lupus patients living in rural areas presented 3.52 times more oxidative DNA damage compared to those living in the city. The prospects of applying biomarkers to assess exposure and biological effects, such as DNA damage and oxidative stress in autoimmune diseases, allow improving the characterization of individual risk.