Neurotrophins are growth factors with crucial roles in neural pathophysiology. These mediators functionally modulate nociceptive fibers, and changes in neurotrophins expression have been correlated with early loss of nociception in leprosy. This study investigated the expression of NGF, BDNF, and NT3 in dermal nerves of leprosy patients. Characterization of Remak bundles was achieved by p75(NTR...

During the development of the peripheral nervous system, Schwann cells, the myelin-forming glia, migrate along axons before initiating myelination. We previously demonstrated that endogenous neurotrophin-3 (NT3) acting through the TrkC tyrosine kinase receptor enhances migration of premyelinating Schwann cells. This signaling pathway is mediated by the c-Jun N-terminal kinase (JNK) cascade regu...

Neuropathic pain is a type of chronic pain caused by a lesion or disease of the somatosensory nervous system. The pathophysiology of neuropathic pain is very complex, not fully understood and different from that somatic pain. It has a deleterious effect on health related quality of life, and leads to increased health-care costs and its management is extremely difficult. The response to currentl...

P75NTR (or CD271) is a member of the Tumor Necrosis Factor receptor (TNFR) super family of transmembrane proteins that share significant homology in their extracellular domains. Subsets of TNF receptors, including CD271, have a cytoplasmic death domain, although CD271 has unique intracellular structure and downstream signaling partners. CD271 is also differentiated from other members of the TNF...

Previous studies have investigated the relationship between quality of life (QoL) and video game use. However, it remains to clarify nature these relationships. This longitudinal study links two gaming-related variables – objective playtime indicators self-reported gaming disorder (GD) symptoms QoL, while accounting for gamers’ motivational background. We longitudinally surveyed intensive gamer...

Machine learning (ML) continues to grow in importance across nearly all domains modeling learn from data. Often a tradeoff exists between model's ability minimize bias and variance. In this article, we utilize ensemble combine linear, nonlinear, tree-/rule-based ML methods cope with the bias-variance result more accurate models. We use datasets collected for two parallel cancer deep CANDLE benc...