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Background. Depression is a major cause of disability and most antidepressant medicines are ineffective owing to their high toxicity and numerous adverse effects. As a result, there is an urgent need to find new effective treatment methods. This paper aims to investigate the effect and mechanism of total saikosaponins (TSS) on depression-like behaviors induced by chronic unpredictable mild stress (CUMS) in rats. Methods. Twenty-four male SD rats were randomly divided into 4 groups: control group, CUMS group, TSS group, and fluoxetine (Flu) group. Then, the following tests were conducted: sucrose preference test, open field test, and elevated plus maze test. Additionally, ELISA was used to detect the levels of corticosterone (CORT) and adrenocorticotropic hormone (ACTH) in the serum of the rats as well as the levels of inflammatory cytokines IL-1β, IL-6, and TNF-α in the hippocampus, and Western blot was used for measuring the expression of brain-derived neurotrophic factor (BDNF) protein and related proteins of the PI3K/AKT/NF-κB signaling pathway in the hippocampus. Results. TSS could significantly improve rat behaviors, specifically indicated by increases in sucrose preference, total movement distance, stay time in the central area, number of entries into open arms, time spent in open arms, and a decrease in stay time in the peripheral area. TSS acted to significantly reduce BDNF protein expression and increase the contents of ACTH and CORT in serum as well as the levels of IL-1β, IL-6, and TNF-α in the hippocampal tissue in rats. In addition, it was able to raise the ratios of p-PI3K/PI3K and p-AKT/AKT and decrease the ratio of p-p65/p65 in tissues, which in turn regulated the PI3K/AKT/NF-κB signaling pathway. Conclusions. TSS, through regulating PI3K/AKT/NF-κB signaling axis, can alleviate depression-like behaviors and elevate neuroendocrine hormone levels and inflammatory factor levels.

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BackgroundPrescription errors impact the safety and efficacy of therapy and are considered to have a higher impact on paediatric populations. Nevertheless, information in paediatrics is still lacking, particularly in primary care settings. There exists a need to investigate the prevalence and characteristics of prescription errors in paediatric outpatients to prevent such errors during the prescription stage.MethodsA cross-sectional study to evaluate paediatric prescription errors in multi-primary care settings was conducted between August 2019 and July 2021. Prescriptions documented within the electronic pre-prescription system were automatically reviewed by the system and then, potentially inappropriate prescriptions would be reconciled by remote pharmacists via a regional pharmacy information exchange network. The demographics of paediatric patients, prescription details, and types/rates of errors were assessed and used to identify associated factors for prescription using logistic regression.ResultsA total of 39,754 outpatient paediatric prescriptions in 13 community health care centres were reviewed, among which 1,724 prescriptions (4.3%) were enrolled in the study as they met the inclusion criteria. Dose errors were the most prevalent (27%), with the predominance of underdosing (69%). They were followed by errors in selection without specified indications (24.5%), incompatibility (12.4%), and frequency errors (9.9%). Among critical errors were drug duplication (8.7%), contraindication (.9%), and drug interaction (.8%) that directly affect the drug's safety and efficacy. Notably, error rates were highest in medications for respiratory system drugs (50.5%), antibiotics (27.3%), and Chinese traditional medicine (12.3%). Results of logistic regression revealed that specific drug classification (antitussives, expectorants and mucolytic agents, anti-infective agents), patient age (<6 years), and prescriber specialty (paediatrics) related positively to errors.ConclusionOur study provides the prevalence and characteristics of prescription errors of paediatric outpatients in community settings based on an electronic pre-prescription system. Errors in dose calculations and medications commonly prescribed in primary care settings, such as respiratory system drugs, antibiotics, and Chinese traditional medicine, are certainly to be aware of. These results highlight an essential requirement to update the rules of prescriptions in the pre-prescription system to facilitate the delivery of excellent therapeutic outcomes.