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Aim. To understand the current situation of upward bullying in the Chinese nursing field and explore the manifestations, reasons, and outcomes of upward bullying experienced by Chinese nurse managers. Background. Workplace bullying, a serious social problem, is characterised by recurring incidents of intimidating, aggressive, and hostile behaviour. Bullying in the nursing profession exhibits all or some of the above traits. The evidence of upward bullying by subordinate nurses against nurses in positions of authority or power is limited in China. Methods. This qualitative study was conducted with semistructured, in‐depth interviews involving 12 hospital nurse managers in Wuhan, Hubei Province, between June and August 2023. The data were analysed using the Colaizzi seven‐step analysis method with Nvivo 12.0 software as a support. Results. We grouped our findings into three main categories: manifestations of upward bullying; reasons for upward bullying; and outcomes of upward bullying. Conclusions. Nurse managers in China are exposed to upward bullying in many forms and for complex reasons. More emphasis needs to be given to creating a positive work environment for them to facilitate their managerial role. Implications for Nursing Management. This study probes the realities of upward bullying against Chinese nurse managers and highlights the need for managers to develop the skills needed to identify, manage, and prevent bullying from subordinates. By contributing to the development of interventions and strategies that address workplace bullying, this study shows promise for enhancing managerial effectiveness and improving the nursing practice environment. [ABSTRACT FROM AUTHOR]

Heart failure (HF) is a significant global public health concern with a high readmission rate, posing a serious threat to the health of the elderly population. While several studies have used machine learning (ML) to develop all-cause readmission risk prediction models for elderly patients with HF, few have integrated ML-selected features with those chosen by human experts to assess HF patients readmission. A retrospective analysis of 8396 elderly HF patients hospitalized at the Affiliated Hospital of North Sichuan Medical College from January 1, 2018 to December 31, 2021 was conducted. Variables selected by XGBoost, LASSO regression, and random forest constituted the machine group, while the human expert group comprised variables chosen by two experienced cardiovascular professors. The variables selected by both groups were combined to form a human–machine collaboration group. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). The SHapley Additive exPlanations (SHAP) method was used to elucidate the importance of each predictive feature, explain the impact of individual features on the model, and provide visual representation. A total of 73 features were included for model development. The human–machine collaboration model, utilizing CatBoost, achieved an AUC of 0.83617, an F1-score of 0.73521, and a Brier score of 0.16536 on the validation set. This model demonstrated superior predictive performance compared to those created solely by human experts or machine. The SHAP plot was then used to visually display the feature analysis of the human–machine collaboration model, revealing HGB, NT-proBNP, smoking history, NYHA classification, and LVEF as the 5 most important features. This study indicate that the human–machine collaboration model outperforms those relying solely on human expert selection or machine algorithm at predicting all-cause readmission in elderly HF patients. The application of the SHAP method enhanced the interpretability of the model outcomes, aiding clinicians in accurately pinpointing risk factors associated with HF readmission. This advancement enables the formulation of tailored treatment strategies, offering a more personalized approach to patient care. [ABSTRACT FROM AUTHOR]

Aim: Tyrosine decarboxylase (TDC) presented in the gut‐associated strain Enterococcus faecalis can convert levodopa (L‐dopa) into dopamine (DA), and its increased abundance would potentially minimize the availability and efficacy of L‐dopa. However, the known human decarboxylase inhibitors are ineffective in this bacteria‐mediated conversion. This study aims to investigate the inhibition of piperine (PIP) on L‐dopa bacterial metabolism and evaluates the synergistic effect of PIP combined with L‐dopa on Parkinson's disease (PD). Methods: Metagenomics sequencing was adopted to determine the regulation of PIP on rat intestinal microbiota structure, especially on the relative abundance of E. faecalis. Then, the inhibitory effects of PIP on L‐dopa conversion and TDC expression of E. faecalis were tested in vitro. We examined the synergetic effect of the combination of L‐dopa and PIP on 6‐hydroxydopamine (6‐OHDA)‐lesioned rats and tested the regulations of L‐dopa bioavailability and brain DA level by pharmacokinetics study and MALDI‐MS imaging. Finally, we evaluated the microbiota‐dependent improvement effect of PIP on L‐dopa availability using pseudo‐germ‐free and E. faecalis‐transplanted rats. Results: We found that PIP combined with L‐dopa could better ameliorate the move disorders of 6‐OHDA‐lesioned rats by remarkably improving L‐dopa availability and brain DA level than L‐dopa alone, which was associated with the effect of PIP on suppressing the bacterial decarboxylation of L‐dopa via effectively downregulating the abnormal high abundances of E. faecalis and TDC in 6‐OHDA‐lesioned rats. Conclusion: Oral administration of L‐dopa combined with PIP can improve L‐dopa availability and brain DA level in 6‐OHDA‐lesioned rats by suppressing intestinal bacterial TDC. [ABSTRACT FROM AUTHOR]

Tetramethylpyrazine (TMP) belongs to the active ingredients of the traditional Chinese medicine Chuanxiong, which has a certain protective effect in myocardial ischemia-reperfusion (I/R) injury. It can improve postoperative cardiac function and alleviate ventricular remodeling in acute myocardial infarction patients. However, its specific protective mechanism is still unclear. In this study, a certain concentration of TMP was introduced into I/R mice or H9C2 cells after oxygen-glucose deprivation/reoxygenation (OGD/R) treatment to observe the effects of TMP on cardiomyocyte activity, cytotoxicity, apoptosis, autophagy, pyroptosis, and NLRP3 inflammasome activation. The results displayed that TMP intervention could reduce OGD/R and I/R-induced cardiomyocyte apoptosis, accelerate cellular activity and autophagy levels, and ameliorate myocardial tissue necrosis in I/R mice in a dose-dependent manner. Further, TMP prevented the formation of NLRP3 inflammasomes to suppress pyroptosis by increasing the level of cardiomyocyte autophagy after I/R and OGD/R modelling, the introduction of chloroquine to suppress autophagic activity in vivo and in vitro was further analyzed to confirm whether TMP inhibits NLRP3 inflammasome activation and pyroptosis by increasing autophagy, and we found the inhibitory effect of TMP on NLRP3 inflammasomes and its protective effect against myocardial injury were blocked when autophagy was inhibited with chloroquine. In conclusion, this experiment demonstrated that TMP unusually attenuated I/R injury in mice, and this protective effect was achieved by inhibiting the activation of NLRP3 inflammasomes through enhancing autophagic activity., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)