Objective To establish the HPLC fingerprints for the different extracts from Coptidis Rhizoma，and investigate the spectrum-effect relationship between HPLC fingerprints and anti-Staphylococcus aureus activity in vitro to analyze the pharmacodynamic material basis. Methods Nine kinds of Coptidis Rhizoma extracts were prepared, and establish the HPLC fingerprints for them. The antibacterial rate of each extract was determined by the broth microdilution method with Staphylococcus aureus as the test bacteria. The grey relational analysis （GRA） method was used to analyze the correlation between the fingerprint data and the in vitro antibacterial test data. Results The HPLC fingerprints of nine kinds of Coptidis Rhizoma extracts were established, nine common characteristic fingerprint peaks were calibrated, and 5 peaks were identified by the reference substance comparison method. GRA analysis experiments showed that the correlation between nine peaks and antibacterial effect was 0.559 1~0.803 3; and the peak 3, peak 8 （palmatine hydrochloride）, peak 9 （berberine hydrochloride） were positively correlated with the inhibition of Staphylococcus aureus,while the peak 9 （berberine hydrochloride） had the strongest effect, and its correlation degree was 0.803 3. Conclusion The effective substance of antibacterial was preliminarily determined through the study of spectrum-effect relationship for Coptidis Rhizoma extracts,which may be the alkaloids, mostly containing hydrochloride, which provided a reference for further research on the pharmacodynamic material basis of Coptidis Rhizoma.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.

ObjectiveTo systematically synthesize the illness experiences and unmet needs of patients with stroke during the rehabilitation phase. MethodsQualitative studies focusing on the illness experiences and needs of stroke patients in the rehabilitation period were retrieved from the databases of Cochrane Library, PubMed, Embase, Web of Science, CINAHL, CNKI, CBM, Wanfang data and VIP. The search timeframe was from database inception to December, 2024. Methodological quality was evaluated using the Joanna Briggs Institute Qualitative Assessment and Review Instrument. A meta-synthesis method was adopted to categorize and integrate the findings. ResultsA total of ten studies were included. Forty-nine themes were extracted and further grouped into ten categories, which were finally integrated into three overarching themes: negative illness perceptions, multifaceted rehabilitation motivations and unmet multidimensional needs. ConclusionPatients with stroke undergo complex physical and psychological experiences during rehabilitation and present diverse and multidimensional needs.

ObjectiveTo investigate the mechanisms by which Huanglian Jiedutang （HLJDT） modulates microglial （MG） phenotypes through the sialic acid-binding Ig-like lectin 2 （SIGLEC2/CD22）/Src-homology-2-domain-containing protein tyrosine phosphatase-1 （SHP-1）/phosphorylated protein kinase B （p-Akt） signaling pathway， thereby promoting myelin repair and alleviating agitation-like behaviors in vascular dementia （VAD）. MethodsSixty C57BL/6J mice were randomly assigned to a sham （normal） group， model group， HLJDT low-， medium-， and high-dose groups （2.5， 5， and 10 g·kg^-1·d^-1）， and a risperidone group （2 mg·kg^-1·d^-1）， with 10 mice per group. VAD was induced by bilateral common carotid artery stenosis （BCAS）. From day 42， mice received drug interventions for 2 weeks. Agitation-like behaviors were assessed using the resident-intruder test. After behavioral testing， ventrolateral part of the ventromedial hypothalamus （VMHvl） tissues were collected. Western blot was used to measure protein levels of myelin oligodendrocyte glycoprotein （MOG）， myelin basic protein （MBP）， proteolipid protein （PLP）， inducible nitric oxide synthase （iNOS）， arginase-1 （Arg1）， CD86， CD206， and CD22， SHP-1， and p-Akt. Immunofluorescence was used to evaluate myelin-associated glycoprotein （MAG） intensity and the proportion of iNOS⁺/ionized calcium-binding adapter molecule 1 （Iba1）⁺ cells. ELISA was used to detect tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， and IL-1β. ResultsCompared with the normal group， the model group exhibited markedly increased biting and aggressive behaviors and shortened attack latency （P<0.01）. MOG， MBP， and PLP protein levels and MAG fluorescence intensity were significantly reduced （P<0.05， P<0.01）. INOS and CD86 expression and TNF-α， IL-6， and IL-1β levels were significantly elevated （P<0.01）. CD22 and SHP-1 expression increased significantly （P<0.01）， whereas p-Akt expression decreased （P<0.01）. Compared with the model group， the medium- and high-dose HLJDT groups and the risperidone group showed markedly reduced biting and aggression （P<0.05， P<0.01） and prolonged attack latency （P<0.01）. MOG， MBP， and PLP levels and MAG fluorescence intensity were significantly increased （P<0.05， P<0.01）. INOS， CD86， TNF-α， IL-6， and IL-1β levels decreased significantly （P<0.05， P<0.01）. CD22 and SHP-1 expression decreased， while p-Akt expression increased significantly （P<0.05， P<0.01）. ConclusionHLJDT may modulate CD22/SHP-1/p-Akt signaling in the VMHvl， promote the shift of MG toward an anti-inflammatory and phagocytic phenotype， enhance myelin repair， and improve agitation-like behaviors in VAD mice.

OBJECTIVE Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

OBJECTIVE Based on comment texts from the Weibo platform， this study adopts the text mining method to systematically analyze the public’s emotional attitudes and core concerns of “medical insurance reimbursement”， and explore the public’s real experiences and feedback in the implementation of the current system. METHODS With “medical insurance reimbursement” as the keyword， Python web crawler technology was used to collect Weibo comment texts from December 2023 to April 2025. Word frequency analysis， sentiment analysis， semantic network analysis and Latent Dirichlet Allocation （LDA） topic models were adopted to mine the in-depth features of comment texts and investigate the public’s concerns and emotional attitudes toward “medical insurance reimbursement”. RESULTS A total of 3 645 valid comment texts were obtained. The overall emotional of the public toward “medical insurance reimbursement” was weakly positive： 66.4% of the comments contained positive emotions， and 32.4% contained negative emotions. Semantic network analysis indicated that positive public emotions mainly centered on the achievements of medical insurance reform and the improvement of security level， while negative emotions mainly focused on reimbursement rules， economic burden and the implementation of medical insurance policies. The LDA model identified eight core themes， mainly including access of new drugs to medical insurance catalogs， medical insurance support for traditional Chinese medicine and biomedicine， disputes over medical insurance coverage of specific medical items， cross-regional medical treatment and medical insurance settlement， medical insurance reimbursement and medical burden， as well as the approval of innovative drugs and medical insurance payment. CONCLUSIONS The public generally holds a positive attitude toward “medical insurance reimbursement”， yet still has many expectations in terms of policy implementation. On the premise of guaranteeing the sustainability of medical insurance funds， it is suggested to further improve the transparency and fairness of the reimbursement process， and promote the scientific， standardized and efficient development of the medical insurance system. Meanwhile， attention should be paid to public opinion feedback on social media， and the policy communication mechanism should be strengthened， so as to enhance the public’s sense of gain and trust in the medical insurance system.

Objective To investigated the effects of occupational exposure to N,N-dimethylformamide (DMF) on sterol regulatory element-binding protein (SREBP) and iron metabolism among workers. Methods A total of 20 workers occupationally exposed to DMF were selected as the exposure group, and 15 healthy workers without DMF exposure from the same factory were selected as the control group using the purposive sampling method. DMF exposure levels were assessed in individual samples of the workers. The urinary N-methylformamide (NMF) levels were measured by gas chromatography. The mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood was measured by real-time quantitative polymerase chain reaction. Enzyme-linked immunosorbent assay was used to detect serum transferrin, soluble transferrin receptor (sTfR), and ferritin levels. Results The DMF exposure levels among the workers in the control group were below the detection limit, and urinary NMF was undetectable. The median DMF exposure level was 13.30 mg/m³, and the mean urinary NMF level was (9.72±1.78) mg/g Cr among the workers in the exposure group. Compared with the control group, the relative mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood of workers in the exposure group increased (all P<0.05), while the levels of transferrin and sTfR decreased (both P<0.01). However, there was no statistically significant difference in serum ferritin levels between the two groups (P>0.05). In the exposure group, urinary NMF level of workers was negatively correlated with the relative mRNA expression level of SREBP-1c in blood [correlation coefficient (r)=-0.50, P=0.03], and positively correlated with the levels of serum transferrin, sTfR, and ferritin (r = 0.63, 0.58, and 0.52, respectively; all P<0.05). Conclusion Occupational exposure to DMF can upregulate the expression of the SREBP family and disrupt iron metabolism, with a potential association between these effects.

Objective To investigate the influence of auricular acupressure combined with repetitive transcranial magnetic stimulation(rTMS)on swallowing function and neurological function in stroke pa-tients.Methods A total of 120 patients with dysphagia after stroke admitted to the hospital from January 2022 to June 2023 were selected as the research objects and divided into the control group,the auricular acu-pressure group,the rTMS group and the combined group according to the random number table method,with 30 cases in each group.The control group received routine care,the auricular acupressure group received auric-ular acupressure treatment on the basis of the control group,while the rTMS group received rTMS treatment,and the combined group received both auricular acupressure and rTMS treatment.All interventions lasted 4 weeks.Swallowing function was assessed before and after treatment using Functional Oral Intake Scale(FOIS),modified Mann Assessment of Swallowing Ability(MASA),and Water Swallow Test.Swallowing-related quality of life was evaluated before and after treatment by the Swallowing Quality of Life(SWAL-QOL)questionnaire.Neurological impairment was assessed before and after treatment using National Institu-tes of Health Stroke Scale(NIHSS).Results After treatment,FOIS and MASA scores in the four groups were higher than those before treatment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).The overall effectiveness rate for swallowing function in the combination group was 93.33%,significantly higher than 60.00%in the control group,63.33%in the auricular acupressure group,and 73.33%in the rTMS group(P<0.05),while there was no significant difference among the other three groups(P>0.05).After treatment,SWAL-QOL scores in the four groups were higher than that before treat-ment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).After treat-ment,NIHSS scores in the four groups were lower than that before treatment,and the combination group had significantly lower scores compared to the other three groups(P<0.05).Conclusion Auricular acupressure combined with rTMS could improve swallowing function and quality of life,and promote neurological function recovery in stroke patients.

Objective:To develop and validate a clinical warning model for severe pediatric community-acquired pneumonia (CAP) using electronic health records.Methods:A retrospective cohort study was conducted, analyzing clinical data of 15 750 children hospitalized for CAP at Wuhan Children′s Hospital between January 1, 2019, and December 31, 2023. Patient data were randomly split into training and testing sets at a 7∶3 ratio. Six supervised machine learning models were constructed in the training set, optimized using five-fold cross-validation, and evaluated in the testing set. Model performance was assessed using ROC-AUC, sensitivity, specificity, positive predictive value, negative predictive value, calibration curves, and clinical decision curve analysis at optimal thresholds. The best-performing model was selected, and SHapley Additive exPlanations (SHAP) were used to interpret feature importance. A program interface was developed based on the model results, enabling integration into clinical decision support systems for automated early warning.Results:A total of 15 750 participants, ranging in age from 28 days to 18 years, were included in the study. The median age was 2 years [interquartile range (IQR): 0-4 years], with 9 555 males (60.67%) and 6 195 females (39.33%). Among them, 2 211 (14.04%) developed severe pneumonia. In the prediction models, XGB outperformed other models with an ROC-AUC of 0.884 (95% CI: 0.870-0.898), sensitivity (0.803, 95% CI: 0.772-0.832), specificity (0.828, 95% CI: 0.816-0.839). Calibration analysis showed strong agreement between predicted and observed risks (Brier score: 0.081, 95% CI: 0.075-0.086). The analysis based on the SHAP method revealed that respiratory rate, heart rate, T-lymphocyte subsets, and red blood cell volume distribution width-SD are predictive factors for severe progression of community-acquired pneumonia (CAP) in children. Conclusion:An interpretable machine learning model was developed for the early detection and personalized treatment planning of severe CAP in children, providing valuable support to clinicians.