Research on the uptake and effects of bioplastics by aquatic organisms is still in its infancy. Here, we aim to advance the field by comparing uptake and effects of microplastic particles (MPP) of a biodegradable bioMPP (polyhydroxybutyrate (PHB)) and petroleum-based MPP (polymethylmethacrylate (PMMA)) in the freshwater amphipod . Ingestion of both MPP in different particle sizes (32-250 µm) occurred after 24 h, with highest ingestion of particles in the range 32-63 µm and almost complete egestion after 64 h. A four-week effect-experiment showed a significant decrease of the assimilation efficiency in amphipods exposed to the petroleum-based MPP from week two onwards. The petroleum-based PMMA affected assimilation efficiency significantly in contrast to the biodegradable PHB, but overall differences in direct comparison of MPP types were small. Both MPP types led to a significantly lower wet weight gain relative to the control treatments. After four weeks, differences between both MPP types and silica, used as a natural particle control, were detected. In summary, these results suggest that both MPP types provoke digestive constraints on the amphipods, which go beyond those of natural non-palatable particles. This highlights the need for more detailed research comparing environmental effects of biodegradable and petroleum-based MPP and testing those against naturally occurring particle loads.
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http://dx.doi.org/10.3390/ijerph14070774 | DOI Listing |
Mol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Cellular Physiology Research Lab, School of Medicine, Department of Physiology, University of Galway, H91W5P7 Galway, Ireland.
As our population ages, there is an increased unmet clinical need surrounding neurodegenerative diseases such as Parkinson's disease (PD). To tackle this ever-increasing problem, we must ensure that the cell models that we use to develop therapeutics in vitro are robust, reliable, and replicable. In this study, we compared SH-SY5Y cells with LUHMES cells in response to 6-Hydroxydopamine (6OHDA) and 1-Methyl-4-phenylpyridinium (MPP+), two common Parkinson's insults used in in vitro analysis.
View Article and Find Full Text PDFCancers (Basel)
November 2024
Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107, Lebanon.
Background/objectives: A specialized microenvironment in the bone marrow, composed of stromal cells including mesenchymal stem cells (MSCs), supports hematopoietic stem cell (HSC) self-renewal, and differentiation bands play an important role in leukemia development and progression. The reciprocal direct interaction between MSCs and CD34 HSCs under physiological and pathological conditions is yet to be fully characterized.
Methods: Here, we established a direct co-culture model between MSCs and CD34 HSCs or MSCs and acute myeloid leukemia cells (THP-1, Molm-13, and primary cells from patients) to study heterocellular communication.
Front Nutr
November 2024
College of Life Sciences, Northwest Agriculture and Forest University, Xianyang, Shaanxi, China.
Introduction: As the scale of cultivation expands, challenges such as substrate shortages and rising production costs in mushroom cultivation have become increasingly prominent. Fruit tree pruning residue has the potential to serve as an alternative substrate, offering a sustainable solution. This study evaluates the feasibility of incorporating various types of fruit tree pruning residues into cultivation.
View Article and Find Full Text PDFBiochem Biophys Res Commun
January 2025
Division of Biochemistry, Department of Pathophysiological and Therapeutic Sciences, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago, Tottori, Japan. Electronic address:
Melatonin is a neurohormone that is not only a regulator of circadian cycles, but also a potent antioxidant. Parkinson's disease (PD) is a major neurodegenerative disease that may result from oxidative stress as a part of its pathogenic cascade. Therefore, antioxidants, including melatonin, have attracted attention as potential candidates for neuroprotection against PD-related neurotoxicity.
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