ObjectiveTo systematically compare the effects of diverse electromagnetic stimulation protocols on hand function and activities of daily living (ADL) in stroke patients using network meta-analysis (NMA), and screen the optimal stimulation strategy for post-stroke hand dysfunction rehabilitation. MethodsNMA was performed in accordance with the PRISMA-NMA statement. Databases of CNKI, Wanfang data, VIP, CBM, PubMed, Web of Science and Embase were searched from database inception to April, 2026 for eligible randomized controlled trials (RCTs) comparing different electromagnetic stimulation protocols for post-stroke hand impairment. The Cochrane Risk of Bias tool and PEDro scale were used to assess methodological quality of included studies, while the GRADE system was adopted to grade evidence quality of primary outcomes of Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI). After literature screening, data extraction and bias evaluation, RevMan 5.4 and Stata 17.0 were used for meta-analysis and NMA. ResultsA total of 22 RCT involving 17 electromagnetic stimulation protocols were finally included. The PEDro scores ranged from six to ten. The top five protocols for improving FMA-UE score were repetitive peripheral magnetic stimulation (rPMS) + repetitive transcranial magnetic stimulation (rTMS), intermittent theta-burst stimulation (iTBS) + rPMS, iTBS + transcranial direct current stimulation (tDCS), transcutaneous electrical acupoint stimulation (TEAS) and contralaterally controlled functional electrical stimulation (CCFES). tDCS was the most effective on MBI, followed by TEAS and iTBS+rPMS. Evidence quality for FMA-UE and MBI was moderate. Funnel plots suggested low risk of publication bias, and consistency tests verified good coherence between direct and indirect comparisons in network models. ConclusionElectromagnetic stimulation significantly facilitates upper limb and hand functional recovery, and improves ADL in stroke patients. The combined central-peripheral magnetic stimulation protocol may be the most effective on motor rehabilitation, whereas tDCS on ADL.

19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound 4f displayed excellent anti-β-amyloid protein (Aβ)-mediated cytotoxicity (EC₅₀ = 2.03 ± 2.45 μmol·L^-1) in APPswe cells and acetylcholinesterase inhibiton (IC₅₀ = 4.88 ± 4.70 μmol·L^-1). Further study indicated that, at dosages of (1, 5 and 25 mg·kg^-1), compound 4f was effective in improving spatial learning and memory deficits in Aβ_1-42-impaired mice, which was achieved by promoting the nonamyloidogenic signaling and inhibiting the amyloidogenic pathway, along with the suppression of Aβ-induced Tau phosphorylation. All animal experiments in this study were approved by the Experimental Animal Care and Use Committee of the Institute of Medicinal Biotechnology (IMB-20220908D701). In conclusion, compound 4f holds promise as a lead candidate for AD treatment, and the present study lays the foundation for its subsequent development.

Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

Objective:To construct a debriefing and reflection training program for nursing undergraduate interns, and to provide a basis for implementing such a program and improve the practical clinical skills of the interns.Methods:Based on competency theory, the draft of the debriefing and reflection training program for undergraduate nursing interns was constructed through literature review and expert conference discussion. Delphi expert consultation was conducted from August to October 2024, and the final version of the program was established based on the experts' opinions. The weight of each indicator was determined using the analytic hierarchy process. Excel 2019 was used for data entry, and SPSS 19.0 was used for data analysis.Results:Two rounds of expert consultation were conducted, with a questionnaire recovery rate of 100.00% for both. The experts consulted in the second round had an authority coefficient of 0.861, a coefficient of variation for each index of 0.048 to 0.237, and a Kendall's concordance coefficient of 0.137 ( P<0.05). The final program included 5 primary indicators, 16 secondary indicators, and 73 tertiary indicators. Conclusions:The debriefing and reflection training program for undergraduate nursing interns proposed in this study has high scientifical validity and reliability. It can provide a reference for debriefing and reflection training of nursing undergraduate interns in China, thereby cultivating qualified clinical nursing talents.

Objective:To analyze the coupling coordination relationship and spatial correlation among the service demand,resource allocation and utilization efficiency of Traditional Chinese Medicine(TCM),aiming to provide theoretical support and optimization strategies for achieving the coordinated operation of the TCM systems in various provinces and promoting the coordinated development of TCM in different provinces.Methods:The data were collected from the China Health and Family Planning Statistical Yearbook(2013-2017)and the China Health Statistics Yearbook(2018-2023),the entropy method was employed to determine the weight of each evaluation index within the subsystems.A coupling coordination degree model and spatial econometric model were applied to assess the coupling coordination values and spatial correlations of the TCM system across various provinces in China.Results:In 2022,the national average coupling coordination degree was 0.603,with values of 0.648,0.577,and 0.563 for the eastern,central,and western regions,respectively.The western region had the highest number of provinces classified as"disordered type".A spatial clustering effect of the coupling coordination degree across 30 provinces.Conclusions:While the allocation of TCM resources has shown steady improvement,the demand for TCM services and utilization efficiency have exhibited a declining trend.The coupling coordination degree follows a decreasing gradient from east to west and exhibits significant spatial effects,a regional collaborative development mechanism for TCM should be established.

Objective:To investigate the effect of baicalin on Th17/Treg cell balance in autoimmune myocarditis(AM)rats and its possible mechanism.Methods:AM rats were grouped into control group,model group,low-dose baicalin group[20 mg/(kg·d)],high-dose baicalin group[100 mg/(kg·d)],and high mobility group B1(HMGB1)inhibitor group;the cardiac ultrasound diagnostic instrument was applied to detect the cardiac function of rats in each group,the cardiac mass index,hematoxylin eosin(HE)staining was applied to detect myocardial pathology,ELISA was applied to detect serum levels of cytokines such as IFN-γ,IL-4,IL-17 and TGF-β,Western blot was applied to detect the expression levels of myocardial HMGB1 and receptor for advanced glycation end product(RAGE)proteins,flow cytometry was applied to detect the proportions of Th17 and Treg cells in the spleen.Results:Com-pared with the control group,the rats in the model group showed myocarditis symptoms and diffuse inflammatory cell infiltration under the endocardium,the left ventricular end diastolic diameter(LVEDd),left ventricular end systolic diameter(LVEDs),IFN-γ,IL-4,IL-17,TGF-β,the proportion of Th17 cells and the expression levels of HMGB1 and RAGE proteins increased,the left ventricular short axis shortening fraction(FS%),ejection fraction(LVEF%),cardiac mass index,and the proportion of Treg cell decreased(P<0.05);compared with the model group,the myocardial interstitial edema and inflammatory cell infiltration were reduced in the ba-icalin low and high dose groups and HMGB1 inhibitor groups,and the proportion of LVEDd,LVEDs,serum IFN-γ and IL-17,spleen Th17 cells and the expression levels of myocardial HMGB1 and RAGE protein were decreased.FS%,LVEF%,heart mass index,IL-4,TGF-β,Treg cell proportion increased;compared with the low-dose baicalin group,the symptoms of myocarditis in the high-dose baicalin group and the HMGB1 inhibitor group were obviously improved,the LVEDd,LVEDs,IFN-γ,IL-17,the proportion of Th17 cells,and the expression levels of HMGB1 and RAGE proteins decreased,the FS%,LVEF%,cardiac mass index,IL-4,TGF-β,and the proportion of Treg cells increased(P<0.05);there was no statistically obvious difference in each index between the high-dose baicalin group and the HMGB1 inhibitor group(P>0.05).Conclusion:The protective effect of baicalin on AM rats is related to the inhibition of HMGB1/RAGE axis activation.

Ferroptosis is a programmed cell death depends on iron and lipid peroxidation,which has been recognized as the key pathogenic factor for the occurrence of various diseases in recent years,especially playing a significant role in neurodegenerative diseases.Ferroptosis triggers lipid peroxidation and oxidative stress in neuronal cells,leading to neuronal damage and death,thereby accelerating disease progression.Hydrogen sulfide,as an endogenous gaseous signaling molecule,exhibits multiple protective effects,including anti-inflammatory,antioxidant,and anti-ferroptosis properties.Hydrogen sulfide can effectively inhibit the occurrence of ferroptosis through various mechanisms,such as regulating iron metabolism,inhibiting lipid peroxidation,and enhancing the activity of antioxidant enzymes,thereby slowing down the progression of neurodegenerative diseases.This article reviews the related research progress on hydrogen sulfide and ferroptosis and ferroptosis-mediated neurodegenerative diseases,and analyzes the underlying mechanisms,aims to provide new insights and theoretical foundations for the treatment of neurodegenerative diseases.

Objective::To systematically study the mechanisms by which Yinzhihuang (YZH), a traditional Chinese medicine, ameliorates intrahepatic cholestasis of pregnancy (ICP), a liver disorder associated with significant maternal and fetal complications.Methods::This experimental study was conducted from January 2024 to August 2024, utilizing data from public databases (Traditional Chinese Medicine Systems Pharmacology, GeneCards, Online Mendelian Inheritance in Man, DisGeNET, Proteome Xchange) alongside in vitro cell culture experiments. Network pharmacology identified active components of YZH and potential therapeutic targets for ICP. Ultra-performance liquid chromatography–mass spectrometry characterized YZH oral liquid, and its effective doses were evaluated in taurocholic acid (TCA)-induced HTR-8/SVneo cells, an in vitro ICP model. ICP-related targets were gathered from multiple databases, and hub genes were selected through bioinformatics and previously identified differentially expressed proteins. Functional annotation and pathway enrichment analyses were conducted, with validation in TCA-induced cells treated with various YZH concentrations (0.1%–5.0%) compared to controls. Molecular docking confirmed predicted interactions.Results::Using network pharmacology, 104 active compounds and 241 potential targets of YZH were identified. Integration of multiple databases yielded 1897 YZH-related therapeutic targets and 3783 ICP-associated genes. Proteomic analysis identified 227 differentially expressed proteins, from which 10 hub genes were selected; among these, APOA2, COL1A1, and ADIPOQ were significantly upregulated in ICP samples. UPLC-ESI-MS/MS detected 2022 compounds, predominantly flavonoids (25.07%, 507/2022) and phenolic acids (14.44%, 292/2022). Molecular docking demonstrated strong binding affinities between several active compounds and the hub genes. In TCA-induced HTR-8/SVneo cells, 0.5% YZH treatment significantly enhanced cell viability and modulated hub gene expression, supporting a potential multi-target mechanism.Conclusion::This study systematically explored the active components and potential targets of YZH in ICP through network pharmacology, proteomics, and in vitro validation. The findings suggest that YZH may act via the PPAR signaling pathway by modulating genes such as PPARA, PPARG, ADIPOQ, and APOA2.