Distribution of serum levels of persistent organic pollutants, heterocyclic aromatic amine theoretical intake and nutritional cofactors in a semi-rural island population

Persistent organic pollutant (POP) exposure is strongly associated with negative health effects in humans. Heterocyclic aromatic amines (HAAs) are formed during high temperature cooking of foods (i.e. meat and fish). Human exposure to HAA is through food consumption and from similar food groups to POPs. A study of serum samples for POPs in a non-occupational exposed population (n = 149, age range 18-80 years, recruited in 2012) and comparison with estimated HAA daily intake calculations based on food diaries were undertaken. Three different age groups (group 1, 18-29 years; group 2, 30-44 years; and group 3, 45-80 years) were used to explore possible relationships between POP levels present in blood, HAA intake and nutritional cofactors. Significant differences (p < 0.05) between groups (1 and 3) for POP levels were found for p,p'-DDE, polychlorinated biphenyl (PCB) 153, PCB 138 and the sum of PCBs. A similar trend was found between groups 2 and 3 for PCB 153 and sum of PCBs. Significant differences were found between groups 1 and 3 and groups 2 and 3 for HAA intake., i.e. HAA intake was lowest in those of middle age, which may well reflect a different pathway of human exposure between HAA and POPs through the diet preferences.

Untargeted metabolomic analysis of human serum samples associated with exposure levels of Persistent organic pollutants indicate important perturbations in Sphingolipids and Glycerophospholipids levels

Persistent organic pollutants (POPs) are distributed globally and are associated with adverse health effects in humans. A study combining gas chromatography-mass spectrometry (GC-MS), high resolution mass spectrometry (UPLC-QTof-MS) and chemometrics for the analysis of adult human serum samples was undertaken. Levels of serum POPs found were in the low range of what has been reported in similar populations across Europe (median 33.84 p, p'-DDE, 3.02 HCB, 83.55 β-HCH, 246.62 PCBs ng/g lipids). Results indicated that compounds concentrations were significantly different between the two groups of POPs exposure (high vs low) and classes (DDE, β-HCH, HCB, PCBs). Using orthogonal partial last-squares discriminant analysis (OPLS-DA), multivariate models were created for both modes of acquisition and POPs classes, explaining the maximum amount of variation between sample groups (positive mode R2 = 98-90%; Q2 = 94-75%; root mean squared error of validation (RMSEV) = 12-20%: negative mode R2 = 98-91%; Q2 = 94-81%; root mean squared error of validation (RMSEV) = 10-19%. In the serum samples analyzed, a total 3076 and 3121 ions of interest were detected in positive and negative mode respectively. Of these, 40 were found to be significantly different (p < 0.05) between exposure levels. Sphingolipids and Glycerophospholipids lipids families were identified and found significantly (p < 0.05) different between high and low POPs exposure levels. This study has shown that the elucidation of metabolomic fingerprints may have the potential to be classified as biomarkers of POPs exposure.