Facial Nerve Monitoring under Different Levels of Neuromuscular Blockade with Cisatracurium Besilate in Parotid Tumour Surgery

Alzheimer's disease-associated inflammatory pathways might contribute to osteoporosis through the interaction between PROK2 and CSF3

This study aimed to explore the potential molecular pathways and targets of Alzheimer's disease leading to osteoporosis using bioinformatics tools. The Alzheimer's and osteoporosis microarray gene expression data were retrieved from the Gene Expression Omnibus, and differentially expressed genes in the blood microenvironment related to Alzheimer's disease and osteoporosis were identified. The intersection of the three datasets (GSE97760, GSE168813, and GSE62402) was used to obtain 21 co-expressed targets in the peripheral blood samples in patients with Alzheimer's disease and osteoporosis. Based on the degree algorithm, the top 10 potential core target genes related to these diseases were identified, which included CLEC4D, PROK2, SIGLEC7, PDGFB, PTCRA, ECH1, etc. Two differentially expressed mRNAs, Prokineticin 2 (PROK2) and three colony-stimulating factor 3 (CSF3), were screened in the GSE62402 dataset associated with osteoporosis. Protein–protein rigid docking with ZDOCK revealed that PROK2 and CSF3 could form a stable protein docking model. The interaction of PROK2 and CSF3, core genes related to osteoporosis inflammation, plays an important role in the mechanism of osteoporosis in patients with Alzheimer's. Therefore, abnormalities or alterations in the inflammatory pathways in the peripheral blood samples of Alzheimer's patients may affect the course of osteoporosis.

Machine learning for infection risk prediction in postoperative patients with non-mechanical ventilation and intravenous neurotargeted drugs

Drug efficacy can be improved by understanding the effects of anesthesia on the neurovascular system. In this study, we used machine learning algorithms to predict the risk of infection in postoperative intensive care unit (ICU) patients who are on non-mechanical ventilation and are receiving hydromorphone analgesia. In this retrospective study, 130 patients were divided into high and low dose groups of hydromorphone analgesic pump patients admitted after surgery. The white blood cells (WBC) count and incidence rate of infection was significantly higher in the high hydromorphone dosage group compared to the low hydromorphone dosage groups (p < 0.05). Furthermore, significant differences in age (P = 0.006), body mass index (BMI) (P = 0.001), WBC count (P = 0.019), C-reactive protein (CRP) (P = 0.038), hydromorphone dosage (P = 0.014), and biological sex (P = 0.024) were seen between the infected and non-infected groups. The infected group also had a longer hospital stay and an extended stay in the intensive care unit compared to the non-infected group. We identified important risk factors for the development of postoperative infections by using machine learning algorithms, including hydromorphone dosage, age, biological sex, BMI, and WBC count. Logistic regression analysis was applied to incorporate these variables to construct infection prediction models and nomograms. The area under curves (AUC) of the model were 0.835, 0.747, and 0.818 in the training group, validation group, and overall pairwise column group, respectively. Therefore, we determined that hydromorphone dosage, age, biological sex, BMI, WBC count, and CRP are significant risk factors in developing postoperative infections.

Antagonist of Chrna1 prevents the pathogenesis of primary focal hyperhidrosis

Background

Primary focal hyperhidrosis (PFH) is an autonomic neurological disease in which exocrine glands are oversecreted due to autonomic dysfunction of the sympathetic nervous system. Chrna1 promotes the pathogenesis of PFH. We aimed to check if downregulating of Chrna1 by cisatracurium could alleviate the symptoms of PFH.

Methods

The effect of cisatracurium in a hyperhidrosis mice model induced by pilocarpine hydrochloride was monitored for sweat gland secretion, and ultrastructural sweat secretory granules in sweat glands were analyzed. Meanwhile, markers of hyperhidrosis were checked, and release of Bdnf and Nrg1 from sympathetic ganglia axon was tested. Furthermore, the mechanism of cisatracurium function was evaluated in vitro using HEK293 expressing Chrna1. Finally, the effect of cisatracurium was determined in the hyperhidrosis mice model with overexpression or downregulation of Chrna1.

Results

In hyperhidrosis mice, pretreatment with cisatracurium effectively inhibited sweat secretion, along with fewer particle secretion in sweat glands. The molecular markers of hyperhidrosis (Aqp5 and Cacna1c) were inhibited by cisatracurium, acetylcholine (Ach) level in serum was found decreased. Neurotrophic factors (Bdnf and Nrg1) secreted by sympathetic axon activation were also inhibited. At last, it was confirmed that cisatracurium could not alter the gene or protein expression level of Chrna1, but could block the ion channel. Overexpression of Chrna1 abolished the effect of cisatracurium on hyperhidrosis, while cisatracurium could not function more in siChrna1‐treated mice.

Conclusion

Our results suggested that pretreatment of cisatracurium could alleviate hyperhidrosis in mice, probably through blocking the ion channel function of Chrna1.