Okadaic acid (OA) and dinophysistoxin-2 (DTX2) were confirmed by liquid chromatography with mass spectrometry detection both in extracts of digestive glands and edible parts of Portuguese shellfish. No dinophysistoxin-1 was found even in highly contaminated samples examined. However, only in blue mussel (Mytilus edulis) were these two parent toxins commonly found in a free form. Usually they were found largely esterified in all remaining shellfish species-common cockle (Cerastoderma edule), peppery furrow shell (Scrobicularia plana), carpet shell (Venerupis pullastra), oyster (Crassostrea japonica), razor clam (Ensisspp.), and clam (Ruditapes decussata). Oysters were the least toxic. In mussels esterified OA did not surpass 50% of the total OA found in edible parts, while DTX2 esterification rates were usually much lower. In remaining shellfish species usually more than 95% of the total OA was found esterified, while free DTX2 was rarely found. Also ratios of total DTX2/total OA were higher in mussels than in the remaining species examined. From all these species commercially exploited at the northern coast, mussels and cockles contained the highest levels of DSP toxins, thus representing the highest theoretical health risk. The previous association of DTX2 with the dinoflagellate Dinophysis acuta was confirmed with selective MS detection; while OA was the only parent diarrhoeic toxin found associated with Dinophysis acuminata.
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http://dx.doi.org/10.1016/s0041-0101(01)00183-0 | DOI Listing |
eNeuro
January 2025
Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
It is widely believed that axons in the central nervous system of adult mammals do not regrow following injury. This failure is thought, at least in part, to underlie the limited recovery of function following injury to the brain or spinal cord. Some studies of fixed tissue have suggested that, counter to dogma, norepinephrine (NE) axons regrow following brain injury.
View Article and Find Full Text PDFHarmful Algae
January 2025
School of Marine and Atmospheric Sciences, Stony Brook University, Southampton, NY, United States. Electronic address:
Mar Drugs
November 2024
Key Laboratory of Aquatic Eutrophication and Control of Harmful Algal Blooms of Guangdong Higher Education Institute, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Harmful Algae
November 2024
National Institute of Biology, Marine Biology Station Piran, Slovenia.
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phytoplankton in mussel farming areas and diarrhetic shellfish toxins in mussels (Mytilus galloprovincialis), we train and evaluate the performance of machine learning (ML) models to accurately predict diarrhetic shellfish poisoning (DSP) events. Based on the F1 score, the random forest model provided the best prediction of toxicity results at which the harvesting of mussels is stopped according to EU regulations.
View Article and Find Full Text PDFChemosphere
October 2024
Departamento de Farmacología, Facultad de Veterinaria, Universidad de Santiago de Compostela, Lugo, Spain.
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