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Neonicotinoids are among the most widely used insecticides in the world and are recognized as a potential cause of pollinator decline. Previous studies have demonstrated that the neonicotinoid thiacloprid has adverse effects on foraging and memory behaviors. However, there is no direct evidence linking thiacloprid-induced neuronal cell damage in the brains of honeybees to learning and memory dysfunction. Adult honeybee (Apis mellifera L.) workers were chronically exposed to sub-lethal concentrations of thiacloprid. We discovered that thiacloprid negatively affected their survival, food consumption, and body weight. In addition, sucrose sensitivity and memory performance were impaired. We evaluated the apoptosis of honeybee brain cells using TUNEL (Terminal deoxynucleotidyl transferase-mediated digoxigenin-dUTP-biotin nick-end labeling) and Caspase-3 assays, which revealed that thiacloprid increases the dose-dependent apoptosis of neurons in the mushroom bodies (MB) and antennal lobes (AL). We also determined the abnormal transcripts of multiple genes, including vitellogenin (Vg), immune system genes (apidaecin and catalase), and memory-associated genes (pka, creb, Nmdar1, Dop2, Oa1, Oa-2R, and Oa-3R). These results indicate that exposure to sublethal concentrations of thiacloprid cause abnormal expression of memory-related genes and apoptosis of brain cells in the AL and MB, which may contribute to the memory disorder induced by thiacloprid exposure.
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http://dx.doi.org/10.1016/j.scitotenv.2023.163820 | DOI Listing |
Metab Brain Dis
September 2025
Department of Neuroscience, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Brain ischemia is a major global cause of disability, frequently leading to psychoneurological issues. This study investigates the effects of 4-aminopyridine (4-AP) on anxiety, cognitive impairment, and potential underlying mechanisms in a mouse model of medial prefrontal cortex (mPFC) ischemia. Mice with mPFC ischemia were treated with normal saline (NS) or different doses of 4-AP (250, 500, and 1000 µg/kg) for 14 consecutive days.
View Article and Find Full Text PDFStroke
September 2025
Brain Language Laboratory, Freie Universität Berlin, Germany (A.-T.P.J., M.R.O., A.S., F.P.).
Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-dependent signals indicate persistence in brain activity patterns and may relate to learning and levels of depression. This observational study investigates blood oxygenation level-dependent LRTC changes alongside therapy-induced language and mood improvements in perisylvian and domain-general brain areas.
View Article and Find Full Text PDFFront Comput Neurosci
August 2025
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.
Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.
View Article and Find Full Text PDFFront Genet
August 2025
Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China.
RNA N4-acetylcytidine (ac4C) is a crucial chemical modification involved in various biological processes, influencing RNA properties and functions. Accurate prediction of RNA ac4C sites is essential for understanding the roles of RNA molecules in gene expression and cellular regulation. While existing methods have made progress in ac4C site prediction, they still struggle with limited accuracy and generalization.
View Article and Find Full Text PDFBiochem Biophys Rep
June 2025
Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Synaptic dysfunction and synapse loss occur in Alzheimer's disease (AD). The current study aimed to identify synaptic-related genes with diagnostic potential for AD.
Methods: Differentially expressed genes (DEGs) were overlapped with phenotype-associated module selected through weighted gene co-expression network analysis (WGCNA), and synaptic-related genes.