Sevoflurane exerts antidepressant-like effects via the BDNF-TrkB pathway.

Depression has emerged as the predominant psychiatric affliction affecting individuals. Prior research has substantiated the antidepressant properties exhibited by numerous anesthetics. Sevoflurane, a widely utilized inhalant anesthetic in clinical practice, remains relatively uncharted in terms of its specific antidepressant effects. In this study, we used open field test, forced swimming test and novelty-suppressed feeding test to investigate the anxiety and depression-like behaviors in C57BL/6 mice following the inhalation of sevoflurane. We then used western blotting to scrutinized the expression levels of proteins associated with the brain-derived neurotrophic factor (BDNF)-tryosine receptor kinase B (TrkB) pathway in the hippocampus and prefrontal cortex. To further investigate whether sevoflurane exerts antidepressant-like effects via the BDNF-TrkB pathway, we downregulated TrkB expression by administering siRNA into the lateral ventricle. We found that the inhalation of 2.5 % sevoflurane exerted a significant antidepressant-like effect, accompanied by an elevation in p-TrkB expression levels in the hippocampus and prefrontal cortex. Intriguingly, this antidepressant-like effect was abrogated following the downregulation of TrkB expression through the microinjection of siRNA into the lateral ventricle. In conclusion, this study provides evidence supporting the notion that sevoflurane exerts its antidepressant-like effect via the BDNF-TrkB signaling pathway.

Research on Pedestrian Crossing Decision Models and Predictions Based on Machine Learning.

Systematically and comprehensively enhancing road traffic safety using artificial intelligence (AI) is of paramount importance, and it is gradually becoming a crucial framework in smart cities. Within this context of heightened attention, we propose to utilize machine learning (ML) to optimize and ameliorate pedestrian crossing predictions in intelligent transportation systems, where the crossing process is vital to pedestrian crossing behavior. Compared with traditional analytical models, the application of OpenCV image recognition and machine learning methods can analyze the mechanisms of pedestrian crossing behaviors with greater accuracy, thereby more precisely judging and simulating pedestrian violations in crossing. Authentic pedestrian crossing behavior data were extracted from signalized intersection scenarios in Chinese cities, and several machine learning models, including decision trees, multilayer perceptrons, Bayesian algorithms, and support vector machines, were trained and tested. In comparing the various models, the results indicate that the support vector machine (SVM) model exhibited optimal accuracy in predicting pedestrian crossing probabilities and speeds, and it can be applied in pedestrian crossing prediction and traffic simulation systems in intelligent transportation.

Effects of Ketamine on Chronic Postsurgical Pain in Patients Undergoing Surgery: A Systematic Review and Meta-analysis.

BACKGROUND: Chronic postsurgical pain (CPSP) has become a common complication during the perioperative period. The efficacy of one of the most potent strategies, ketamine, remains unclear. OBJECTIVES: The aim of this meta-analysis was to evaluate the effect of ketamine on CPSP in patients undergoing common surgeries.. STUDY DESIGN: Systematic review and meta-analysis. METHODS: English-language randomized controlled trials (RCTs) published in MEDLINE, Cochrane Library, and EMBASE from 1990 through 2022 were screened. RCTs with a placebo control group that evaluated the effect of intravenous ketamine on CPSP in patients undergoing common surgeries were included. The primary outcome was the proportion of patients who experienced CPSP 3 - 6 months postsurgery. The secondary outcomes included adverse events, emotional evaluation, and 48 hour postoperative opioid consumption. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Pooled effect sizes were measured using the common-effects model or random-effects model, and several subgroup analyses were conducted. RESULTS: Twenty RCTs were included with 1,561 patients. Our pooled meta-analysis showed a significant difference between ketamine and placebo in the treatment of CPSP (Relative Risk [RR] = 0.86; 95% CI, 0.77 - 0.95; P = 0.02; I2 = 44%). In the subgroup analyses, our results indicated that compared with placebo, intravenous ketamine might decrease the prevalence of CPSP 3 - 6 months postsurgery (RR = 0.82; 95% CI, 0.72 - 0.94; P = 0.03; I2 = 45%). For adverse events, we observed that intravenous ketamine might lead to hallucinations (RR = 1.61; 95% CI, 1.09 - 2.39; P = 0.27; I2 = 20%) but did not increase the incidence of postoperative nausea and vomiting (RR = 0.98; 95% CI, 0.86 - 1.12; P = 0.66; I2 = 0%). LIMITATIONS: Inconsistent assessment tools and follow-up for chronic pain may contribute to the high heterogeneity and limitation of this analysis. CONCLUSIONS: We discovered that intravenous ketamine may reduce the incidence of CPSP in patients undergoing surgery, especially 3 - 6 months postsurgery. Because of the small sample size and high heterogeneity of the included studies, the effect of ketamine in the treatment of CPSP still needs to be explored in future large-sample, standardized-assessment studies.

Catalytic hydrogenolysis of lignin to phenolic monomers over Ru supported N,S-co-doped biochar: The importance of doping atmosphere.

Doping of heteroatoms into carbon materials is a popular method to modify their physicochemical structures and has been widely used in the fields of energy conversion and storage. This study aims to investigate the effect of doping atmosphere on the catalytic performance of nitrogen and sulfur co-doped biochar supported Ru in the production of phenolic monomers from lignin hydrogenolysis. The results showed that the catalyst prepared under CO2 atmosphere (Ru@CNS-CO2) was able to produce phenolic monomers from corncob lignin with a yield up to 36.41 wt%, which was significantly higher than that from the run over N2-prepared catalyst (Ru@CNS-N2). The characterization of the catalysts demonstrated that the CNS-CO2 support had a larger specific surface area, richer C=S and C-S groups, and higher oxygen content than CNS-N2, resulting in finer Ru particles and more Ru0 content on the CNS-CO2 support. The Ru@CNS-CO2 catalyst exhibited high activity in hydrogenation and fragmentation of ß-O-4 linkages.

Elamipretide (SS-31) improves mitochondrial dysfunction, synaptic and memory impairment induced by lipopolysaccharide in mice.

BACKGROUND: It is widely accepted that mitochondria have a direct impact on neuronal function and survival. Oxidative stress caused by mitochondrial abnormalities play an important role in the pathophysiology of lipopolysaccharide (LPS)-induced memory impairment. Elamipretide (SS-31) is a novel mitochondrion-targeted antioxidant. However, the impact of elamipretide on the cognitive sequelae of inflammatory and oxidative stress is unknown. METHODS: We utilized MWM and contextual fear conditioning test to assess hippocampus-related learning and memory performance. Molecular biology techniques and ELISA were used to examine mitochondrial function, oxidative stress, and the inflammatory response. TUNEL and Golgi-staining was used to detect neural cell apoptosis and the density of dendritic spines in the mouse hippocampus. RESULTS: Mice treated with LPS exhibited mitochondrial dysfunction, oxidative stress, an inflammatory response, neural cell apoptosis, and loss of dendritic spines in the hippocampus, leading to impaired hippocampus-related learning and memory performance in the MWM and contextual fear conditioning test. Treatment with elamipretide significantly ameliorated LPS-induced learning and memory impairment during behavioral tests. Notably, elamipretide not only provided protective effects against mitochondrial dysfunction and oxidative stress but also facilitated the regulation of brain-derived neurotrophic factor (BDNF) signaling, including the reversal of important synaptic-signaling proteins and increased synaptic structural complexity. CONCLUSION: These findings indicate that LPS-induced memory impairment can be attenuated by the mitochondrion-targeted antioxidant elamipretide. Consequently, elamipretide may have a therapeutic potential in preventing damage from the oxidative stress and neuroinflammation that contribute to perioperative neurocognitive disorders (PND), which makes mitochondria a potential target for treatment strategies for PND.