| Literature DB >> 26061088 |
Sergio Jarque1, Laia Quirós1, Joan O Grimalt1, Eva Gallego1, Jordi Catalan2, Reinhard Lackner3, Benjamin Piña1.
Abstract
Human activity has spread trace amounts of chemically stable endocrine-disrupting pollutants throughout the biosphere. These compounds have generated a background level of estrogenic activity that needs to be assessed. Fish are adequate sentinels for feminization effects as male specimens are more sensitive than humans to exogenous estrogenic compounds. High mountain lakes, the most distant environments of continental areas, only receive semi-volatile compounds from atmospheric deposition. We analyzed the expression levels of estrogen-regulated genes in male fish from these mountain lakes in Europe. Incipient feminization involving expression of estrogen receptor and zona radiata genes revealed a widespread diffuse estrogenic impact. This effect was correlated with the concentrations of some organochlorine compounds in fish and was consistent with the persistent occurrence of these tropospheric pollutants in the most remote planet regions. These results should be of general concern given the increasing endocrine disruption effects in human populations.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26061088 PMCID: PMC4462152 DOI: 10.1038/srep11292
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Analysis of hepatic mRNA levels of estrogen-responsive genes in European high mountain lakes.
A) Fold induction in mRNA levels for Vtg, Zrp1 and ERα in estradiol-treated juvenile trouts. Data represents average fold induction and standard deviations. B) Correlation of Vgt (left) and Zrp1 (right) mRNA levels in S. trutta females from Pyrenees (pale blue) and Tatras (dark blue) with reproductive stage (1- undifferentiated, 7- mature oocytes/spawning). C) Double log correlation between ERα and Zrp1 mRNA levels in males from Pyrenees (pale blue) and Tatras (dark blue). The corresponding linear regression and the correlation coefficient are shown.
Figure 2Results of Principal Component Analysis.
A) Loading plots for PC1 and PC2; the explained variation for each PC is indicated. B) Score plot for PC1 and PC2. Males and females are indicated by triangles and circles, respectively. Specimens from Pyrenees and Tatras are indicated by pale and dark blue symbols, respectively. C) Correlations between PC1 (left) and PC2 (right) scores and Cyp1A (all fish) and ERα mRNA levels (males), respectively. The corresponding linear regression (semi-log transformation) and the correlation coefficients are shown.