Halogenated acetic acids (HAAs) produced by chlorine disinfection of municipal drinking water represent a potentially important class of environmental contaminants. Little is known, however, about their potential to adversely impact fish and other aquatic life. In this study we examined the kinetics and effects of dichloroacetic acid (DCA) in rainbow trout. Branchial uptake was measured in fish confined to respirometer-metabolism chambers. Branchial uptake efficiency was <5%, suggesting passive diffusion through aqueous channels in the gill epithelium. DCA concentrations in tissues following prolonged (72, 168, or 336 h) waterborne exposures were expressed as tissue:plasma concentration ratios. Concentration ratios for the kidney and muscle at 168 and 336 h were consistent with the suggestion that DCA distributes primarily to tissue water. Reduced concentration ratios for the liver, particularly at 72 h, indicated that DCA was highly metabolized by this tissue. Routes and rates of elimination were characterized by injecting chambered animals with a high (5.0mg/kg) or low (50 microg/kg) bolus dose. DCA was rapidly cleared by naïve animals resulting in elimination half-lives (t(1/2)) of less than 4h. Waterborne pre-treatment of fish with DCA increased the persistence of a subsequently injected dose. In high dose animals, pre-treatment caused a 4-fold decrease in whole-body clearance (CL(B)) and corresponding increases in the area under the plasma concentration-time curve (extrapolated to infinity; AUC(0-->infinity)) and t(1/2). Qualitatively similar results were obtained in low dose fish, although the magnitude of the pre-treatment effect ( approximately 2.5-fold) was reduced. Renal and branchial clearance contributed little (combined, <3% of CL(B)) to the elimination of DCA. Biliary elimination of DCA was also negligible. The steady-state volume of distribution (V(SS)) did not vary among treatment groups and was consistent with results of the tissue distribution study. DCA had no apparent effects on respiratory physiology or acid-base balance; however, the concentration of blood lactate declined progressively during continuous waterborne exposures. A transient effect on blood lactate was also observed in bolus injection experiments. The results of this study suggest that clearance of DCA is due almost entirely to metabolism. The pathway responsible for this activity exhibits characteristics in common with those of mammalian glutathione S-transferase zeta (GSTzeta), including non-linear kinetics and apparent suicide inactivation by DCA. Observed effects on blood lactate are probably due to the inhibition of pyruvate dehydrogenase kinase in aerobic tissues and may require the participation of a monocarboxylase transport protein to move DCA across cell membranes.
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http://dx.doi.org/10.1016/j.aquatox.2009.07.001 | DOI Listing |
Heliyon
January 2025
Institute of Mathematics, Henan Academy of Sciences, Zhengzhou, 450046, China.
This study examines the behavior of the Casson nanofluid bioconvection flow around a spinning disc under various influences, including gyrotactic microorganisms, multiple slips, and thermal radiation. Notably, it accounts for the reversible nature of the flow and incorporates the esterification process. The aim of this study is to investigate the influence of reversible chemical reactions on the flow behavior of a Casson nanofluid in the presence of bioconvective microorganisms over a spinning disc.
View Article and Find Full Text PDFBiotechnol Notes
December 2024
Department of Chemical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
This study investigates the potential of phototrophic microalgae, specifically Chlorella protothecoides, for biological wastewater treatment, with a focus on the effects of air temperature and CO concentration on nutrient removal from tertiary municipal wastewater. Utilizing both the Monod and Arrhenius kinetic models, the research examines how temperature and nutrient availability influence microalgal growth and nutrient removal. The study finds that optimal biomass productivity occurs at 25 °C, with growth slowing at higher temperatures (30 °C, 40 °C, and 45 °C).
View Article and Find Full Text PDFDiabetes Metab Syndr Obes
January 2025
Department of Diabetes, Metabolism and Endocrinology, Toho University Graduate School of Medicine, Tokyo, Japan.
Purpose: Imeglimin is a novel oral antidiabetic agent that improves glucose tolerance. This study aimed to investigate the efficacy of combining imeglimin with dipeptidyl peptidase-4 inhibitor (DPP-4i), the most frequently prescribed first-line treatment for patients with type 2 diabetes (T2D) in Japan, to improve glycemic control.
Patients And Methods: Eleven patients with T2D treated with DPP-4i alone (6.
Angew Chem Int Ed Engl
January 2025
Hunan University, Chemistry and Chemical Engineering, Lushan South Road, Yuelu District, 410082, Changsha, CHINA.
Site density and turnover frequency are the two fundamental kinetic descriptors that determine the oxygen reduction activity of iron-nitrogen-carbon (Fe-N-C) catalysts. However, it remains a grand challenge to simultaneously optimize these two parameters in a single Fe-N-C catalyst. Here we show that treating a typical Fe-N-C catalyst with ammonium iodine (NH4I) vapor via a one-step chemical vapor deposition process not only increases the surface area and porosity of the catalyst (and thus enhanced exposure of active sites) via the etching effect of the in-situ released NH3, but also regulates the electronic structure of the Fe-N4 moieties by the iodine dopants incorporated into the carbon matrix.
View Article and Find Full Text PDFMath Biosci Eng
December 2024
Laboratory of Optimization, Design, and Advanced Control, School of Chemical Engineering, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil.
In the pursuit of personalized medicine, there is a growing demand for computational models with parameters that are easily obtainable to accelerate the development of potential solutions. Blood tests, owing to their affordability, accessibility, and routine use in healthcare, offer valuable biomarkers for assessing hemostatic balance in thrombotic and bleeding disorders. Incorporating these biomarkers into computational models of blood coagulation is crucial for creating patient-specific models, which allow for the analysis of the influence of these biomarkers on clot formation.
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