Latent spinal sensitization is one key mechanism developing at the early stage of chronic low back pain (LBP). TRPM3-mediated calcium transients of dorsal root ganglia (DRG) neurons are considered critical presynaptic signals involved in this latent sensitization. However, postsynaptic consequences in input laminae of the spinal cord have not been addressed so far. Here, by electrophysiological recordings in acute spinal cord slices from adult rats, we show that perfusion of the TRPM3 agonist pregnenolone sulfate (PregS) induced a significant increase in the frequency but not amplitude of spontaneous postsynaptic currents in lamina I and II neurons. This frequency increase started slowly during PregS perfusion but was reversible following washout. This result is consistent with a presynaptic action of the neurosteroid PregS, indicating the presynaptic expression of functional TRPM3 in the superficial dorsal horn of adult rats. Thus, PregS-induced TRPM3 activation enhances spinal synaptic strength, implying a mediating role of TRPM3 between neuroendocrine and nociceptive signaling, which might as well exist in chronic LBP primed by chronic stress that promotes the biosynthesis of PregS.
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http://dx.doi.org/10.1016/j.neulet.2023.137509 | DOI Listing |
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
December 2024
Laboratory of Occupational Protection and Ergonomics, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
To investigate the relationships and impacts between various occupational ergonomic hazards and hand and wrist fatigue, as well as work-related musculoskeletal disorders (WMSDs) of the hand and wrist, and to propose targeted preventive and intervention measures for adverse occupational ergonomic factors causing WMSDs of the hand and wrist. From 2018 to December 2023, a nationwide epidemiologic survey study of wrist WMSDs was conducted using the Chinese version of the electronic questionnaire system for musculoskeletal disorders.A total of 88, 609 valid questionnaires were collected.
View Article and Find Full Text PDFArch Clin Neuropsychol
December 2024
Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Borough Road, Middlesbrough TS1 3BX, UK.
Background: Multiple sclerosis (MS) is a potentially disabling disease of the brain and spinal cord. This cross-sectional study aimed to validate the Arabic version of the Multiple Sclerosis Impact Scale-29 (MSIS-29) using Rasch analysis to assess quality of life in Jordanian MS patients.
Method: Rasch analysis was conducted to evaluate the suitability of the model for the present study.
J Neurophysiol
January 2025
Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, South Carolina, United States.
Deep dry needling (DDN) is a method to treat muscle trigger points (TrPs) often found in persons with neuromuscular pain and spasticity. Currently, its neurophysiological actions are not well established. Thus, to understand how DDN affects spinal cord physiology, we investigated the effects of TrP DDN on spinal reflexes.
View Article and Find Full Text PDFNeurosci Lett
January 2025
Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL 35205, USA.
Rats which experienced neonatal bladder inflammation (NBI) have been demonstrated to exhibit latent bladder hypersensitivity with a nociceptive component that becomes unmasked by a second inflammatory insult as an adult. Manifested as augmented reflex and neuronal responses to urinary bladder distension (UBD), these NBI-induced changes are revealed by using inflammation of nearby structures as an adult pretreatment. The effect of inflammation in distant structures is not known.
View Article and Find Full Text PDFBiom J
February 2025
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points. To combine them, we investigate deep learning techniques for obtaining a joint latent representation, to which the items of different measurement instruments are mapped. This corresponds to domain adaptation, an established concept in computer science for image data.
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