Acamprosate effect on neuropathic pain in rats: With emphasis on the role of ERK/MAPK pathway and SCN9A sodium channel.

BACKGROUND: Neuropathic pain is a chronic pain owing to nerve damage or diseases of the central nervous system (CNS). The expression of SCN9A, which encodes the Nav1.7 voltage-gated sodium channel and ERK have been found to change significantly in many cases of neuropathic pain. Here, we investigated effects of acamprosate on neuropathic pain, taking into account the crucial roles of SCN9A, the ERK signaling pathway, and inflammatory markers in a rat model of chronic constriction injury (CCI). METHODS: Acamprosate (300 mg/kg) was injected intraperitoneally (i.p.) for 14 days. The tail-immersion, acetone, and formalin tests were used to determine behavioral tests such as heat allodynia, cold allodynia, and chemical hyperalgesia, respectively. Lumbar spinal cord was extracted and processed for Nissl staining. The amount of spinal SCN9A expression and ERK phosphorylation were examined using ELISA assay. RESULTS: The expression of SCN9A, ERK, inflammatory cytokines (IL-6 and TNF-α), allodynia and hyperalgesia significantly increased on days 7 and 14 following CCI. The treatment not only reduced neuropathic pain but also blocked CCI's effects on SCN9A upregulation and ERK phosphorylation. CONCLUSION: This research demonstrated that acamprosate reduces the neuropathic pain induced by CCI of the sciatic nerve in rats by preventing cell loss, inhibiting spinal SCN9A expression, ERK phosphorylation, and inflammatory cytokines, suggesting potential therapeutic implications of acamprosate administration for the treatment of neuropathic pain.

A Cobalt-Containing Compound as a Stronger Inhibitor than Galantamine to Inhibit Acetylcholinesterase Activity: A New Drug Candidate for Alzheimer's Disease Treatment.

BACKGROUND: Acetylcholinesterase (AChE) regulates the transmission of neural messages by hydrolyzing acetylcholine in synaptic spaces. OBJECTIVE: The effects of many AChE inhibitors have been evaluated in the treatment of Alzheimer's disease, but the present study examined a synthetic complex containing cobalt (SC) for the first time in the field of enzyme activity to evaluate enzyme inhibitory function. METHODS: Ellman's test was applied. AChE function was assessed in the presence of SC through docking and molecular dynamics analyses. The second structure of AChE was studied through circular dichroism (CD) spectroscopy. RESULTS: Several enzymatic methods were utilized for the kinetics of AChE, which indicated the non-Michaelis and positive homotropic behavior of AChE in the absence of inhibitors (Hill coefficient = 1.33). However, the existence of inhibitors did not eliminate this homotropic state, and even AChE had a more sigmoidal shape than the galantamine at the presence of SC. Based on the CD spectroscopy results, AChE structure changed in the existence of inhibitors and substrates. Bioinformatics analysis revealed SC bonding to the channel of active site AChE. The number of hydrogen bonds was such that the flexibility of the enzyme protein structure due to inhibitor binding reduced AChE function. CONCLUSION: The results reflected that AChE exhibited a non-Michaelis and positive homotropic behavior, leading to a more inhibitory effect on the SC than the galantamine. The positive homotropic behavior of AChE was intensified due to the alteration in AChE protein structure by binding SC to hydrophobic region in the active site pathway and impressing Trp84.

Various reduced-order surrogate models for fluid flow and mass transfer in human bronchial tree.

The bronchial tree plays a main role in the human respiratory system because the air distribution throughout the lungs and gas exchange with blood occur in the airways whose dimensions vary from several centimeters to micrometers. Organization of about 60,000 conducting airways and 33 million respiratory airways in a limited space results in a complex structure. Due to this inherent complexity and a high number of airways, using target-oriented dimensional reduction is inevitable. In addition, there is no general reduced-order model for various types of problems. This necessitates coming up with an appropriate model from a variety of different reduced-order models to solve the desired problem. Lumped formulation, trumpet, or typical path model of whole or parts of bronchial tree are frequently used reduced-order models. On the other hand, using any of these models results in underestimation of flow heterogeneity leading to inaccurate prediction of the systems whose mechanisms depend on the fluid heterogeneity. In this study, a simple robust model combining mechanistic and non-mechanistic modeling approaches of the bronchial tree is proposed which overcomes the limitations of the previous reduced-order models and gives the same results of a detailed mechanistic model for the first time. This model starts from an accurate multi-branching model of conducting and respiratory airways (i.e., the base model) and suggests a proxy model of conducting airway and reduced-order model of respiratory airways based on the base model to significantly reduce computational cost while retaining the accuracy. The combination of these models suggests various reduced-order surrogate models of the human bronchial tree for different problems. The applications and limitations of each reduced-order model are also discussed. The accuracy of the proposed model in the prediction of fluid heterogeneity has been examined by the simulation of multi-breath inert gas washout because the alveolar slope is the reflection of fluid heterogeneity where the computational time decreases from 121 h (using the base model) to 4.8 s (using the reduced-order model). A parallel strategy for solving the equations is also proposed which decreases run time by 0.18 s making the model suitable for real-time applications. Furthermore, the ability of the model has been evaluated in the modeling of asthmatic lung as an instance of abnormal lungs, and in the modeling of O2-CO2 exchange as an instance of nonlinear reacting systems. The results indicate that the proposed model outperforms previous models based on accuracy, robustness, and run time.