Most early studies of endocrine disrupting compounds (EDCs) investigated the effects of single compounds on vertebrate species but, more recently, the focus has changed to the study of effects of multiple chemicals on many species, including invertebrates. The widening of the range of species studied is critical to understanding the consequences of EDC effects on ecosystem function and sustainability. Much work on invertebrates has focussed on the aquatic environment, where molluscs have been used as effective bioindicators for EDCs. Although molluscs have been used to assess effects of potentially toxic metals (PTMs) in terrestrial environments, they have seldom been considered as potential indicators of EDC effects. In this paper key findings in vertebrate and invertebrate animal models are reviewed and discussed, the need to study different animal groups is highlighted and the potential value of terrestrial gastropod molluscs for biomonitoring of EDC effects in a range of terrestrial ecosystems is discussed. It is concluded that their role within the ecosystem and their ease of study in the field and laboratory signify their suitability as bioindicators.
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http://dx.doi.org/10.1039/b804320e | DOI Listing |
Environ Sci Technol
January 2025
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Peatlands store one-third of the world's soil organic carbon. Globally increased fires altered peat soil organic matter chemistry, yet the redox property and molecular dynamics of peat-dissolved organic matter (PDOM) during fires remain poorly characterized, limiting our understanding of postfire biogeochemical processes. Clarifying these dynamic changes is essential for effective peatland fire management.
View Article and Find Full Text PDFEnviron Health Perspect
December 2024
Division of Pharmacology & Toxicology, The University of Texas at Austin, Austin, Texas, USA.
Background: Increasing evidence supports an association of endocrine-disrupting chemical (EDC) exposures with adverse biological effects in humans and wildlife. Recent studies reveal that health consequences of environmental exposures may persist or emerge across generations. This creates a dual conundrum: that we are exposed to contemporary environmental chemicals overlaid upon the inheritance of our ancestors' exposure profiles.
View Article and Find Full Text PDFSci Rep
December 2024
School of BioSciences, The University of Melbourne, Melbourne, 3010, Australia.
Diethylstilbestrol (DES) is an estrogenic endocrine disrupting chemical (EDC) that was prescribed to millions of pregnant women worldwide, leading to increased rates of infertility in the exposed offspring. We have previously demonstrated that this reduced fertility persists for multiple generations in the mouse. However, how altered ovarian function contributes to this infertility is unknown.
View Article and Find Full Text PDFBioelectrochemistry
December 2024
Louisiana Cancer Research Center, School of Medicine, 1700 Tulane Ave, New Orleans, Louisiana 70112, USA.
The folate receptor (FR) is a well-known biomarker that is overexpressed in many cancer cells, making it a valuable target for cancer diagnostics and therapeutic strategies. However, identifying cancer biomarkers remains a challenge due to factors such as lengthy procedures, high costs, and low sensitivity. This study presents the development of a novel, cost-effective biosensor designed for the detection of FR.
View Article and Find Full Text PDFRisk Anal
December 2024
College of Business, Alfaisal University, Riyadh, Saudi Arabia.
Increasing awareness of climate change and its potential consequences on financial markets has led to interest in the impact of climate risk on stock returns and portfolio composition, but few studies have focused on perceived climate risk pricing. This study is the first to introduce perceived climate risk as an additional factor in asset pricing models. The perceived climate risk is measured based on the climate change sentiment of the Twitter dataset with 16 million unique tweets in the years 2010-2019.
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