Emerging evidence demonstrates the importance of sufficient vitamin D (1α, 25-dihydroxyvitamin D3) levels during early life stage development with deficiencies associated with long-term effects into adulthood. While vitamin D has traditionally been associated with mineral ion homeostasis, accumulating evidence suggests non-calcemic roles for vitamin D including metabolic homeostasis. In this study, we examined the hypothesis that vitamin D deficiency (VDD) during early life stage development precedes metabolic disruption. Three dietary cohorts of zebrafish were placed on engineered diets including a standard laboratory control diet, a vitamin D null diet, and a vitamin D enriched diet. Zebrafish grown on a vitamin D null diet between 2–12 months post fertilization (mpf) exhibited diminished somatic growth and enhanced central adiposity associated with accumulation and enlargement of visceral and subcutaneous adipose depots indicative of both adipocyte hypertrophy and hyperplasia. VDD zebrafish exhibited elevated hepatic triglycerides, attenuated plasma free fatty acids and attenuated lipoprotein lipase activity consistent with hallmarks of dyslipidemia. VDD induced dysregulation of gene networks associated with growth hormone and insulin signaling, including induction of suppressor of cytokine signaling. These findings indicate that early developmental VDD impacts metabolic health by disrupting the balance between somatic growth and adipose accumulation.
A novel sediment-contact assay using embryos of the transgenic medaka was developed to fully characterize the toxic effects induced by exposure to a mixture of organic pollutants in sediments. Embryos of the lambda transgenic medaka were exposed for 10 days to a clean reference sediment spiked with either the solvent alone, benzo[a]pyrene (B[a]P), or three concentrations (0.3x, 1x, and 2x) of an organic extract (OE) of sediments from the Seine estuary. The 1 x OE-spiked sediment contained concentrations of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls similar to those in field-collected sediment. Exposure to this sediment, but not to the B[a]P-spiked sediment, significantly increased embryo-larval mortality and prevalence of spinal deformities. Mutant frequency at the cII mutation target gene in the liver of 10-week-old medaka was significantly increased following exposure to either B[a]P or the three doses of OE. The predominant OE-induced liver mutations were G:C to T:A transversions, consistent with PAHs being the major contributors to the mutation induction. Liver and gonadal tumors were observed in 35-week-old medaka exposed to either B[a]P (1/25) or to the 1 x OE (1/24). The benefits of medaka as a fish model for toxicological assessment and the benefits of the cII mutation assay for mutation detection combine to provide comprehensive assessment of a wide range of genotoxic and nongenotoxic effects of aquatic pollutants.
The presence of endocrine-disrupting compounds (EDCs), particularly estrogenic compounds, in the environment has drawn public attention across the globe, yet a clear understanding of the extent and distribution of estrogenic EDCs in surface waters and their relationship to potential sources is lacking. The objective of the present study was to identify and examine the potential input of estrogenic EDC sources in North Carolina water bodies using a geographic information system (GIS) mapping and analysis approach. Existing data from state and federal agencies were used to create point and nonpoint source maps depicting the cumulative contribution of potential sources of estrogenic EDCs to North Carolina surface waters. Water was collected from 33 sites (12 associated with potential point sources, 12 associated with potential nonpoint sources, and 9 reference), to validate the predictive results of the GIS analysis. Estrogenicity (measured as 17β-estradiol equivalence) ranged from 0.06 ng/L to 56.9 ng/L. However, the majority of sites (88%) had water 17β-estradiol concentrations below 1 ng/L. Sites associated with point and nonpoint sources had significantly higher 17β-estradiol levels than reference sites. The results suggested that water 17β-estradiol was reflective of GIS predictions, confirming the relevance of landscape-level influences on water quality and validating the GIS approach to characterize such relationships.
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