ObjectiveStarting from the etiology， pathogenesis， and treatment strategies of endometriosis and adenomyosis， to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion （SrTO） process developed by the Joanna Briggs Institute （JBI） in Australia， this paper determined literature screening criteria by searching China National Knowledge Infrastructure （CNKI）， VIP， Wanfang， and China Biomedical Literature Database. Information was extracted after literature screening， and quality evaluation was conducted using the JBI Narrative， Text， and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative， Opinion， Text Evaluation， and Review Tool Summary Table was used for information synthesis， and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics， meridian circulation location， pathological product evolution， disease duration， emotional psychology， lifestyle habits， preference for food and drink， innate endowment， and acquired injury. In terms of treatment， it was advocated to divide the stage， treat according to different types， adapt to the times， integrate nature and humans， and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects， make good use of classic formulas and small prescriptions， pay attention to protecting the spleen and stomach and regulating emotions， and make good use of self-formulated empirical formulas for internal or external use. Besides， individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes， mechanisms， diagnosis， and treatments of endometriosis， providing a scientific and standardized reference for future theoretical exploration.

Reactive astrocytes, which exhibit a correlation with the degeneration of dopaminergic neurons, are present in a considerable number during the progression of Parkinson's disease (PD). However, the underlying factors shaping astrocyte reactivity and neuroinflammation in PD remain inadequately elucidated. Here, we demonstrate that fibroblast growth factor 7 (FGF7)/FGF receptor 2 (FGFR2) autocrine signaling intensifies astrocyte reactivity and inflammation. Genetic deletion of Arrb2, β-Arrestin2 encoding gene, led to escalated astrocyte reactivity in MPTP-treated mice, which was further substantiated in astrocyte-specific Arrb2 knockdown mice. RNA sequencing profiling of Arrb2 knockout astrocytes identified Fgf7 as a critical effector of astrocyte reactivity. Subsequently, conditional knockdown of Fgf7 and its receptor Fgfr2 in astrocytes elicited advantageous effects for MPTP-treated mice by restraining the inflammatory phenotypic transition of reactive astrocytes. Furthermore, deletion of astrocytic Fgf7 mitigated MPTP-induced pathology in Arrb2 knockout mice. Mechanistically, STAT1 was distinguished as the transcription factor suppressing Fgf7 expression, while β-Arrestin2 counteracted the proteasomal degradation of STAT1 by binding to RNF220, an E3 ubiquitin ligase for STAT1. More importantly, selectively engaging dopamine D2 receptor (Drd2)/β-Arrestin2-biased signaling using the agonist UNC9995 exhibited therapeutic potential in MPTP-treated mice via moderation of astrocytic FGF7 production, thereby restoring balance in astrocyte reactivity. Collectively, our study bridges a crucial knowledge gap by elucidating the novel functions of FGF family members within the central nervous system, particularly within the context of PD. The autocrine signaling of FGF7/FGFR2 represents a novel mechanism and a potential druggable target for modulating astrocyte-derived inflammation.

Cancer multidrug resistance (MDR) impairs the therapeutic efficacy of various chemotherapeutics. Novel approaches, particularly the development of MDR reversal agents, are critically needed to address this challenge. This study demonstrates that tenacissoside I (TI), a compound isolated from Marsdenia tenacissima (Roxb.) Wight et Arn, traditionally used in clinical practice as an ethnic medicine for cancer treatment, exhibits significant MDR reversal effects in ABCB1-mediated MDR cancer cells. TI reversed the resistance of SW620/AD300 and KBV200 cells to doxorubicin (DOX) and paclitaxel (PAC) by downregulating ABCB1 expression and reducing ABCB1 drug transport function. Mechanistically, protein arginine methyltransferase 1 (PRMT1), whose expression correlates with poor prognosis and shows positive association with both ABCB1 and EGFR expressions in tumor tissues, was differentially expressed in TI-treated SW620/AD300 cells. SW620/AD300 and KBV200 cells exhibited elevated levels of EGFR asymmetric dimethylarginine (aDMA) and enhanced PRMT1-EGFR interaction compared to their parental cells. Moreover, TI-induced PRMT1 downregulation impaired PRMT1-mediated aDMA of EGFR, PRMT1-EGFR interaction, and EGFR downstream signaling in SW620/AD300 and KBV200 cells. These effects were significantly reversed by PRMT1 overexpression. Additionally, TI demonstrated resistance reversal to PAC in xenograft models without detectable toxicities. This study establishes TI's MDR reversal effect in ABCB1-mediated MDR human cancer cells through inhibition of PRMT1-mediated aDMA of EGFR, suggesting TI's potential as an MDR modulator for improving chemotherapy outcomes.
Humans ; Protein-Arginine N-Methyltransferases/antagonists & inhibitors* ; Drug Resistance, Neoplasm/drug effects* ; ErbB Receptors/genetics* ; Animals ; Cell Line, Tumor ; Drug Resistance, Multiple/drug effects* ; Methylation/drug effects* ; Saponins/administration & dosage* ; Mice ; Mice, Nude ; Mice, Inbred BALB C ; ATP Binding Cassette Transporter, Subfamily B/genetics* ; Doxorubicin/pharmacology* ; Paclitaxel/pharmacology* ; Female ; Repressor Proteins

Objective: To investigate the effects of usnic acid(UA) on proliferation, cell cycle, apoptosis and autophagy of lung cancer cells A549 and NCI-H358. Methods: The CCK-8 method was used to detect the inhibitory effect of UA on two kinds of lung cancer cells proliferation. Flow cytometry was used to detect the cell cycle arrest effect of UA on two types of lung cancer cells. The fluorescence amount of UA-induced reactive oxygen species(ROS) in two kinds of lung cancer cells were detected by DCFH-DA probe assay and flow cytometry. Western blot was used to detect the expression of apoptosis related proteins Bax, Caspase-3, Cleaved-Caspase-3, and autophagy related proteins LC3-Ⅰ and LC3-Ⅱ in two types of lung cancer cells after treatment with UA and UA+ROS inhibition. Results: (1) Usnic acid reduced the survival rates of two types of cells and had a stronger ability to inhibit the proliferation of A549 cells than NCI-H358 cells.(2) Usnic acid blocked A549 cells in the G0/G1phase, while NCI-H358 cells in the G2/M and S phases.(3) Usnic acid induced an increase in ROS content in two types of cells. Compared to A549, NCI-H358 cells showed a greater increase in ROS, and the ROS inhibitor reduced the intracellular ROS increase induced by UA.(4) Usnic acid induced high expression of apoptosis-related proteins Bax and Cleaved Caspase-3 and increased the ratio of autophagy-related proteins LC3-Ⅱ/LC3-Ⅰ in both lung adenocarcinoma cells, and its pro-apoptotic and autophagic effects were stronger in A549 than in NCI-H358. After ROS inhibition, the expression levels of Bax and Cleaved Caspase-3 and the LC3-Ⅱ/LC3-Ⅰ ratio of both lung adenocarcinoma cells decreased, and the decrease was greater in NCI-H358 cells. Conclusion Usnic acid inhibits the proliferation of lung cancer A549 and NCI-H358 cells, induces cell cycle arrest, and induces apoptosis and autophagy in cancer cells. The inhibitory and killing effect of UA on A549 cells is stronger than that on NCI-H358 cells. In this case, the induced cell ROS are involved in the action of UA in two types of lung cancer cells. In contrast to A549 cells,ROS might play a more significant role in mediating the apoptosis and autophagy induced by usnic acid in NCI-H358 cells.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Objective:To explore the mediating role of mindfulness between professional identity and positive emotions among medical students.Methods:From February to April 2022, a total of 878 undergraduates from a medical school in Shandong Province were selected by cluster sampling method. The medical professional identity questionnaire, positive and negative affective scale, and mindful attention awareness scale were utilized for cross-sectional investigation. SPSS 22.0 software was used for descriptive and correlation analysis, and AMOS 25.0 software was used to test the mediating effect.Results:(1) The scores for medical students' professional identity, positive emotions, and mindfulness were 140.00 (125.00, 150.00), 30.00 (28.00, 35.00), and 52.00 (44.00, 63.00), respectively. The dimension scores of occupational cognition, occupational emotion, occupational commitment, occupational behavior, occupational expectation and occupational sense of value in the medical professional identity questionnaire were 23.00 (20.00, 25.00), 19.00 (16.00, 20.00), 19.00 (16.00, 21.00), 16.00 (13.00, 16.00), 32.00 (28.00, 36.00), and 31.00 (29.00, 34.00), respectively. (2) The total and dimension scores of professional identity, positive emotions, and mindfulness were significantly and positively correlated with each other( r=0.125-0.390, all P<0.001). (3) Mindfulness partially mediated the relationship between professional identity and positive emotions (effect size=0.02, 95% CI=0.01-0.04), and the mediating effect accounted for 4.76%(0.02/0.42) of the total effect. Conclusion:Professional identity can directly affect the positive emotions of medical students, and indirectly affect the positive emotions through the mediating role of mindfulness.

Objective To investigate the predictive value of preoperative blood inflammatory markers for the recurrence risk in patients with basal cell carcinoma(BCC).Methods A total of 225 patients with BCC were divided into the high-risk recurrence group(155 cases)and the low-risk recurrence group(70 cases).General information and preoperative hematological indicators were collected in the two groups of patients.The neutrophil-to-lymphocyte ratio(NLR),lymphocyte-to-monocyte ratio(LMR),systemic inflammation marker(SIM)and platelet-to-lymphocyte ratio(PLR)were calculated.Receiver operating characteristic(ROC)curves were used to determine the predictive value of hematological markers with statistically significant differences between the two groups for BCC recurrence and to establish optimal cutoff values.Univariate and multivariate Logistic regression analyses were conducted to identify factors influencing BCC recurrence.A multivariate Logistic regression model was established to predict the recurrence risk of BCC.Area under the curve(AUC)and the Hosmer-Lemeshow test were used to evaluate the prediction efficiency and goodness-of-fit of the model.Results ROC analysis identified that optimal cutoff values for LMR and SIM were 5.12 and 0.86,respectively.Univariate Logistic regression analysis showed that LMR,SIM,ulceration at the primary tumor site,UV exposure and tumor maximum diameter were factors influencing BCC recurrence.Multivariate Logistic regression revealed that SIM≥0.86,tumor maximum diameter≥2.0 cm and UV exposure were risk factors for BCC recurrence,while LMR≥5.12 had a protective effect.The Logistic prediction model for BCC recurrence risk was Logit(P)=-1.598-1.517×LMR+1.323×SIM+2.406×UV exposure+3.465×tumor maximum diameter,with good model fit(P=0.725)and an AUC of 0.869(95%CI:0.822-0.917)for predicting BCC recurrence risk.Conclusion Monitoring preoperative LMR and SIM levels can assist in assessing the risk of recurrence in BCC patients and provide important guidance for clinical decision-making.

The development mode of public hospitals has shifted from scale expansion to improving quality and efficien-cy,and specialized operation and management is an important means to improve the performance of surgical departments.Howev-er,at present,there is a gap in the performance appraisal of specialized operators,requiring the hospital to formulate a specific and accurate performance appraisal plan for the management department.Taking hospital Z as an example,based on post value(IPE),this paper analyzes the idea of its performance appraisal plan in detail,and analyzes the specific application of its per-formance allocation with specialized operation assistant as an example.Based on IPE,the responsibility,rank and performance distribution coefficient of hospital management positions can effectively solve the difficulties that the total work and quality of hos-pital management departments are difficult to quantify,and also provide some reference for the formulation of performance apprais-al plan of specialized operation staff in public hospitals.

Objective To investigate the diagnostic value of serum levels of leukocyte cell derived chemo-taxin 2(LECT2)and tumor necrosis factor ligand-related molecule-1A(TL1A)in children with atopic der-matitis(AD).Methods A total of 83 children with AD who were adimitted to the hospital from August 2021 to August 2023 were selected as the AD group,and 83 healthy children who underwent physical examination in the hospital during the same period were selected as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to measure the expression levels of LECT2 and TL1A in serum.Spearman method was applied to analyze the correlation between serum LECT2,TL1A,and AD integral index(SCORAD).Multiva-riate Logistic regression was applied to analyze the factors that affected the severity of AD in children.Receiv-er operating characteristic(ROC)curve was applied to analyze the diagnostic efficacy of serum LECT2 and TL1A levels on the severity of AD in children.Results Compared with the control group,the expression lev-els of LECT2 and TL1A in the serum of the AD group were significantly increased(P＜0.05).Compared with the low-grade group,the serum LECT2,TL1 A,SCORAD score,EOS and total IgE in the moderate and severe groups were significantly increased in turn(P＜0.05).According to Spearman correlation analysis,the serum levels of LECT2 and TL1A in the AD group were positively correlated with the SCORAD score(r=0.776,0.693,both P＜0.05).According to the results of multivariate Logistic regression analysis,serum LECT2、TL1 A、EOS and total IgE were risk factors affecting the severity of AD in children(P＜0.05).In ad-dition,the combination of serum LECT2 and TL1A had the highest AUC for diagnosing the severity of AD in children,which was better than the individual diagnosis of serum LECT2 and TL1A(Z=2.249,1.989,P=0.025,0.047).Conclusion The elevated levels of serum LECT2 and TL1A in children with AD are closely re-lated to the severity of the disease,and the combination of the two can better evaluate the severity of the dis-ease in children with AD.

In recent years,researchers have shown widespread attention in the impact of commonly used clinical anesthetics on overall physiological health by influencing mitochondrial quality.These widely used anesthetics can alter mitochondrial characteristics in several ways,such as modifying mitochondrial morphology and dynamics,affecting mitochondrial function and metabolism,and altering the expression of mitochondrial proteins.These changes have a direct or indirect effect on clinical outcomes during the peri-operative period.Either beneficial or detrimental consequences are decided by multiple factors,such as the type and dosage of anesthetic used,the timing of administration,and the patient's condition.This review comprehensively presents the effects of different types of anesthetic drugs,including intravenous anesthetics,inhalational anesthetics,analgesic,and local anesthetics,on the mitochondria quality of tissue cells and their potential mechanisms,which can facilitate selecting safer anesthesia protocols,minimizing postoperative complications,optimizing patients'postoperative recovery,developing new therapeutic strategies,and opti-mizing perioperative management.