How to Use Secondary Data on Seafood Contamination for Probabilistic Exposure Assessment Purposes? Main Problems and Potential Solutions

Seafood consumption is related to both favorable health benefits of nutrients and to potential adverse health impacts of chemical contamination. To quantify the magnitude of this dilemma, probabilistic intake assessments can be performed. One step in such a procedure involves the determination of nutrient and contaminant concentrations in seafood for which data need to be collected. This article describes the process of building up a database containing previously published contaminant concentrations in seafood, and defining input distributions characterizing the variability. During the constitution of the database, several problems influencing the comparability of the data were encountered related to (1) sampling plans of the published data; (2) sample handling prior to analysis; (3) analytical methodologies; (4) the format of reporting results; and (5) missing data. Different solutions for these methodological problems have been developed. Contaminant concentrations ranges per gram fresh weight of 2.4–4390.0 ng for mercury, 0.1–5736.6 ng for the sum of indicator PCB, 0.002–115.000 pg TEQ for the sum of all PCBs, 0.002–34.400 pg TEQ for dioxins, and 0.006–126.000 pg TEQ for total of dioxin-like compounds were found. This work confirms that more guidelines are needed to standardize the analytical methodologies to be used and the format for result reporting in order to improve the comparability of data critical to conduct a human intake and risk-benefit assessment.     

Absolute standards as a useful addition to the avian quantitative PCR telomere assay

Bird populations provide excellent systems to investigate variation in longevity in the wild since individuals can often be monitored over their lifetime. A number of recent studies suggest that the dynamics of protective telomere chromosome caps (telomere length and rate of loss) are indicative of biological state and potentially useful as indicators of future longevity. Currently, Terminal Restriction Fragment (TRF) analysis and relative quantitative PCR (qPCR) are used to measure telomeres in birds, but with limitations. TRF analysis is time consuming, while relative qPCR gives a within‐study relative value making it difficult to compare across experiments. Utilising an approach first developed in humans of using synthetic oligomer telomeric (TTAGGG)_n and normaliser gene standards of known length to calibrate qPCR values, we describe a methodological adaptation to the avian qPCR telomere assay to make results comparable within, and potentially between, bird species. We evaluate this absolute qPCR method in the Seychelles warbler Acrocephalus sechellensis against relative qPCR measurements on the same samples. Telomere estimates from both methods showed an age‐related decline in telomere length, and were highly correlated (r = 0.99). Absolute qPCR avian telomere analysis may prove a useful means of estimating telomere lengths in a calibrated, sensitive, and efficient way using small amounts of archived bird sample.