To determine whether perikaryal neurofilamentous accumulation in cholinergic neurons is associated with a deficit in cholinergic function, we developed a new model of aluminum-induced neurofibrillary degeneration, referred to as focal lumbar aluminum myelopathy. The model is produced by direct intramedullary microinjection of AlCl3, which results in a characteristic neurological syndrome. Four weeks after injections, affected rabbits show extensive neurofilamentous lesions of both large and small neurons in the lumbar spinal cord, including a majority of anterior horn cells. These animals are capable of long-term survival. Posterior tibial nerve morphometry in these rabbits revealed no significant loss of myelinated fibers. Choline acetyltransferase (ChAT) activity in the sciatic nerve was decreased 39%, from 45.70 +/- 2.36 nmol ACh/hour/3-mm segment in acid-injected controls to 17.72 +/- 1.94 in aluminum-intoxicated rabbits. The rate of accumulation of ChAT activity proximal to a sciatic nerve ligature was significantly greater in the aluminum-treated rabbits, although the total amount of ChAT activity accumulating in a 24-hour period did not differ from controls. We conclude that aluminum-induced accumulation of neurofilaments in cholinergic perikarya is associated with a sharp decrease of ChAT activity in the axons of those cells and possibly with a compensatory increase in the rate of delivery of the enzyme.
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Chem Biodivers
January 2025
Saigon University, Institute of Environment-Energy Technology, 273 An Duong Vuong Street, Ho Chi Minh City, Ho Chi Minh City, VIET NAM.
The chemical investigation of the fruits of Garcinia schomburgkiana growing in Vietnam led to the isolation of a new anofinic acid derivative, 5-hydroxy-8-methoxyanofinic acid (1), a new xanthone, xanthoschome C (2), and a known synthetic phenolic analogue, 4-(2-hydroxybenzyl)-2-(4-hydroxybenzyl) phenol (3), along with seven known xanthones (4-10). The structures of all isolated compounds were determined using spectroscopic techniques (NMR and MS), in conjunction with comparison to existing literature data. All isolated compounds were assessed for their α-glucosidase inhibitory activity and showed significant inhibition, with IC50 values ranging from 12.
View Article and Find Full Text PDFCureus
December 2024
Orthopedics and Rehabilitation, Yale University, New Haven, USA.
Purpose The purpose of this study was to evaluate the ability of a Chat Generative Pre-trained Transformer (ChatGPT) to provide academic answers to frequently asked questions using a comparison with Google web search FAQs and answers. This study attempted to determine what patients ask on Google and ChatGPT and whether ChatGPT and Google provide factual information for patients about arthroscopic meniscus repair. Method A cleanly installed Google Chrome browser and ChatGPT were used to ensure no individual cookies, browsing history, other side data, or sponsored sites.
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January 2025
Bangladesh Medical College Hospital, Dhaka, 1209, Bangladesh.
Background: The involvement of undergraduate medical students in research is pivotal for the advancement of evidence-based clinical practice. This study aimed to assess the extent of research involvement and the factors influencing it among undergraduate medical students in Bangladesh.
Methods: A multi-center cross-sectional study involving 2864 medical students from both public and private medical colleges was conducted between June and December 2023.
Ecotoxicol Environ Saf
January 2025
School of Marine Sciences, Ningbo University, Ningbo 315211, China.
In order to investigate the causes of population degradation and resource decline, this thesis investigated the ecotoxicological effects of heavy metal Cu(Ⅱ) on the embryonic development of Sepiella maindroni. Results indicate significant effects of Cu(Ⅱ) concentrations on the developmental toxicity, teratogenicity, and lethality of S. maindroni embryos.
View Article and Find Full Text PDFCureus
December 2024
Medical Education, University of South Florida Morsani College of Medicine, Tampa, USA.
Background AI language models have been shown to achieve a passing score on certain imageless diagnostic tests of the USMLE. However, they have failed certain specialty-specific examinations. This suggests there may be a difference in AI ability by medical topic or question difficulty.
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