A decrease in the resting membrane potential, an increase in the input resistance, appearance of the anode breakdown and tetrodotoxin-resistant action potentials and extrajunctional acetylcholine sensitivity following denervation were revealed in surviving rat diaphragm muscle fibres. Addition of beta-endorphin (1.10(-8) M) to the culture medium prevented on increase in the input resistance and reduced a degree of the extrajunctional acetylcholine sensitivity, but did not inhibit the appearance of the anode breakdown and tetrodotoxin-resistant action potentials. Naloxone (1.25.10(-6) M) did not avert the effect of beta-endorphin, more over it exerted a beta-endorphin-like effect on the denervated muscle fibres. It is suggested that beta-endorphin can be the factor which is responsible for the neurotrophic control of passive electrical properties of the muscle fibre membrane and neurotrophic regulation of the membrane sensitivity to acetylcholine.
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Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFPLoS One
January 2025
School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researchers have explored clinical predictive models using real medical text data. Medical text data include large amounts of information regarding patients, which increases the sequence length.
View Article and Find Full Text PDFTrop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
View Article and Find Full Text PDFCell Mol Neurobiol
January 2025
Department of Neurology, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, 430030, China.
Neuropathic pain, a prevalent complication following spinal cord injury (SCI), severely impairs the life quality of patients. No ideal treatment exists due to incomplete knowledge on underlying neural processes. To explore the SCI-induced effect on nociceptive circuits, the protein expression of c-Fos was analyzed as an indicator of neuronal activation in a rat contusion model exhibiting below-level pain.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Department of Chemistry & Chemical Biology, McMaster University, Hamilton L8S 4L8, Canada.
Wildfires emit large amounts of polycyclic aromatic hydrocarbons (PAHs) into the atmosphere. As PAHs emitted from anthropogenic sources are known to accumulate in urban surface grime present on building exteriors and windows, we hypothesized that PAH-containing wildfire smoke plumes could similarly increase PAH grime loadings. To explore this hypothesis, we coupled analysis of PAHs in grime samples collected from August to November 2021 in two historically smoke-affected Canadian cities, Calgary and Kamloops, with contemporaneous field- and model-based indicators of wildfire influence.
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