ObjectiveTo investigate the effects of Yishen Juanbi pills （YSJB）-containing bone marrow fluid on the migration and differentiation phenotypes of CD4⁺T lymphocytes based on the stromal cell-derived factor-1/chemokine receptor 4 （SDF-1/CXCR4） signaling pathway. MethodsPrimary CD4⁺T lymphocytes were isolated from mice using magnetic bead separation and identified for purity by flow cytometry. A CD4⁺T lymphocyte culture system was then established to observe the effects of SDF-1 on CD4⁺T-cell migration and differentiation. On this basis， the experimental groups included the Sham group， the ovariectomy （OVX） group， the Sham+collagen-induced arthritis （CIA） group， the OVX+CIA group， the Sham+CIA+YSJB group （2.16 g·kg^-1）， the OVX+CIA+YSJB group （2.16 g·kg^-1）， and the OVX+CIA+methotrexate （MTX） group （1.5 mg·kg^-1）. Bone marrow fluid from each group was prepared according to previous methods and added to the CD4⁺ T-cell culture system at 5% （v/v）. Transwell assays were used to examine CD4⁺T-cell migration in each group. Real-time PCR was used to measure the mRNA expression levels of interleukin （IL）-17， tumor necrosis factor-α （TNF-α）， retinoic-acid-related orphan receptor γt （RORγt）， IL-10， transforming growth factor-β （TGF-β）， forkhead box P3 （FoxP3）， CXCR4， phosphoinositide 3-kinase （PI3K）， and protein kinase B （Akt）. Western blot was used to detect the expression of helper T （Th）17/regulatory T （Treg） cell signature factors （RORγt， FoxP3）， CXCR4， PI3K， phosphorylated （p）-PI3K， Akt， and p-Akt. In a separate set of experiments， cells were divided into the Sham group， OVX+CIA group， OVX+CIA+CXCR4 antagonist AMD3100 group， and OVX+CIA+YSJB+AMD3100 group to observe changes in the above indicators following AMD3100 intervention. ResultsCompared with the Sham group， the number of migrated cells in the lower chamber was significantly increased in the Sham+CIA and OVX+CIA groups （P<0.05， P<0.01）. The mRNA expression of RORγt， IL-17， TNF-α， CXCR4， PI3K， and Akt was significantly upregulated， whereas FoxP3， IL-10， and TGF-β mRNA expression was significantly decreased （P<0.05， P<0.01）. Protein expression of RORγt， CXCR4， p-PI3K/PI3K， and p-Akt/Akt was significantly increased， while FoxP3 protein expression was markedly decreased （P<0.05， P<0.01）. Compared with the OVX+CIA group， the OVX+CIA+YSJB group and OVX+CIA+MTX group showed significantly reduced migration （P<0.05）， mRNA expression of RORγt， IL-17， TNF-α， CXCR4， PI3K， and Akt was also significantly decreased， while FoxP3， IL-10， and TGF-β mRNA expression was significantly increased （P<0.05， P<0.01）. RORγt protein expression was significantly downregulated， and FoxP3 protein expression markedly upregulated （P<0.05）. In the OVX+CIA+YSJB group， CXCR4， p-PI3K/PI3K， and p-Akt/Akt protein expression was significantly decreased （P<0.05）. Compared with the OVX+CIA group， RORγt， CXCR4， PI3K， and Akt mRNA expression in CD4⁺T cells was significantly decreased in the OVX+CIA+AMD3100 group and the OVX+CIA+YSJB+AMD3100 group， while FoxP3 mRNA and protein expression was significantly upregulated （P<0.05， P<0.01）. RORγt， CXCR4， p-PI3K/PI3K， and p-Akt/Akt protein expression was also markedly decreased （P<0.05， P<0.01）. Compared with the OVX+CIA+AMD3100 group， the OVX+CIA+YSJB+AMD3100 group showed significantly decreased RORγt and Akt mRNA expression （P<0.05） and significantly lower p-Akt/Akt protein expression （P<0.05）. ConclusionYSJB-containing bone marrow fluid suppresses CD4⁺T-cell migration and regulates Th17/Treg balance by downregulating Th17-associated signature factors and upregulating Treg-associated signature factors through inhibition of the SDF-1/CXCR4 signaling pathway and PI3K/Akt signaling pathway. The SDF-1/CXCR4 signaling pathway is one of the targets through which YSJB inhibits CD4⁺T-cell differentiation.

ObjectiveTo investigate the effect of transcutaneous electrical acupoint stimulation (TEAS) on pulmonary function, exercise endurance and clinical symptoms in patients with chronic obstructive pulmonary disease (COPD). MethodsRandomized controlled trials on the effect of TEAS on COPD were systematically searched in CNKI, Wanfang Data, VIP Database, SinoMed, PubMed, Embase and Cochrane Library from inception to March, 2025. Two researchers independently screened the literature and extracted data. The methodological quality of the included researches was assessed using the Cochrane Handbook for Systematic Reviews of Interventions version 5.1.0 risk-of-bias tool and the PEDro scale. Statistical analysis was performed using RevMan 5.4. ResultsA total of eleven studies involving 542 patients were included. Scores of PEDro scale ranged from five to nine. TEAS significantly improved forced expiratory volume in one second (FEV₁) (MD = 0.19, 95%CI 0.08 to 0.29, P < 0.001), FEV₁/forced vital capacity (MD = 5.15, 95%CI 4.21 to 6.09, P < 0.001), FEV₁% predicted (MD = 8.46, 95%CI 5.71 to 11.22, P < 0.001), peak expiratory flow (MD = 0.18, 95%CI 0.05 to 0.31, P = 0.006), and COPD Assessment Test (CAT) score (MD = -3.60, 95%CI -4.81 to -2.40, P < 0.001). Distance of 6-minute walk test increased significantly (MD = 25.97, 95%CI 7.88 to 44.05, P = 0.005), however, after sensitivity analysis, the magnitude of improvement was limited and did not reach the minimal clinically important difference threshold. Subgroup analysis showed that multi-acupoint intervention was more effective than single-acupoint intervention (MD = 0.29 vs. 0.12), and one to two weeks of intervention was the most effective (MD = 0.37). TEAS combined with conventional medication or exercise training showed synergistic benefits. ConclusionTEAS helps improve pulmonary function and clinical symptoms in patients with COPD. TEAS combined with conventional interventions may produce synergistically enhanced effects.

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide. Despite therapeutic advancements over recent decades, the prognosis for patients with metastatic CRC (mCRC) remains poor. Approximately 2%-4% of mCRC cases exhibit human epidermal growth factor receptor 2 (HER2) amplification or overexpression, defining a distinct molecular subtype. This HER2-positive status is strongly associated with primary resistance to anti-epidermal growth factor receptor (EGFR) therapies, which are the standard of care for patients with RAS wild-type tumors. Beyond its well-established role in breast and gastric cancers, HER2 has emerged as a pivotal biomarker and actionable therapeutic target in mCRC. However, selecting appropriate treatment strategies remains challenging due to patient heterogeneity and diverse molecular subtypes. This review systematically summarizes the molecular biology, diagnostic strategies, and advances in targeted therapies for HER2-positive mCRC. On the diagnostic front, we discuss the applications of immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), next-generation sequencing (NGS), and circulating tumor DNA (ctDNA) detection technologies. We highlight discrepancies in diagnostic criteria across key clinical trials—such as HERACLES, DESTINY, and MOUNTAINEER—underscoring the urgent need for standardized, CRC-specific definitions to ensure consistent patient selection and comparability of efficacy data across studies. Although NGS enables comprehensive genomic profiling, its cost-effectiveness relative to traditional methods must be carefully considered. Therapeutically, we summarize clinical trial data for HER2-directed agents, including tyrosine kinase inhibitors (TKIs) such as tucatinib and lapatinib, monoclonal antibodies like trastuzumab, bispecific antibodies, and antibody-drug conjugates (ADCs) such as trastuzumab deruxtecan. We review dual-targeting strategies and note recent FDA approvals that represent significant milestones in second-line treatment. Additionally, we explore the potential of combining immune checkpoint inhibitors with HER2-targeted therapies to enhance antitumor immunity through mechanisms including antibody-dependent cellular cytotoxicity (ADCC) and modulation of the tumor microenvironment. ADCs enable precise delivery of cytotoxic payloads, reducing off-target toxicity while effectively inhibiting oncogenic pathways. A substantial portion of this review is dedicated to dissecting the molecular mechanisms underlying primary and acquired resistance to HER2-targeted therapies—persistent challenges that limit clinical benefit. These mechanisms include reactivation of downstream signaling pathways such as PI3K/AKT/mTOR and MAPK, concurrent mutations in genes like KRAS or BRAF, and alterations in HER2 expression that compromise treatment efficacy. For instance, specific HER2 mutations (e.g., L755S) can reduce drug binding affinity, while ctDNA monitoring facilitates early detection of emerging resistance clones during disease progression, thereby enabling timely therapeutic adjustments. Tumor heterogeneity and dynamic interactions with the microenvironment further complicate resistance patterns observed in clinical practice. HER2-targeted therapy represents a new frontier in precision oncology for mCRC, offering renewed hope for improving patient outcomes. Realizing this potential will require continued optimization of diagnostic algorithms and treatment workflows. Future efforts must focus on overcoming resistance, validating liquid biopsy approaches for dynamic monitoring, and establishing unified clinical guidelines. HER2 has become an essential biomarker for stratifying mCRC patients beyond traditional RAS and BRAF status, underscoring the shift from empiric treatment to biomarker-driven precision medicine. International, multidisciplinary collaboration will be critical to validate emerging biomarkers and refine treatment algorithms globally.

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

Objective To explore the safety and feasibility of 5G remote robot-assisted thoracoscopic anatomic lobectomy and segmentectomy. Methods A retrospective analysis was conducted on patients who underwent 5G remote robot-assisted thoracoscopic anatomic lobectomy or segmentectomy between July and September 2024. The surgeries were performed collaboratively by Shanghai Chest Hospital, Affiliated Hospital of Yangzhou University, and The First Affiliated Hospital of Nanchang University. Perioperative outcomes were recorded and analyzed. Results Ten patients were included, comprising 4 anatomic lobectomies and 6 segmentectomies. The median age was 61.0 (56.0, 72.0) years. The median intraoperative bi-directional network latency was 52.5 (39.0, 54.0) ms. There were no instances of network interruption, robot-related adverse events, or conversions to open thoracotomy. The median postoperative chest tube drainage volume was 500.0 (375.0, 600.0) mL, and the median hospital stay was 5.5 (4.0, 6.0) days. No complications of Clavien-Dindo grade Ⅱor higher occurred. All patients were recurrence-free and alive during the 6-month postoperative follow-up period. Conclusion 5G remote robot-assisted thoracoscopic surgery demonstrates high safety and operational stability. This technology shows promising potential for clinical application and is worthy of further development and utilization.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Objective To explore the changes in neural activity in patients with type 2 diabetes mellitus(T2DM)and their corre-lation with executive function,and to analyze the neural mechanisms underlying the decline in executive function in T2DM patients.Methods Thirty-one T2DM patients(T2DM group)and thirty-two healthy controls(HC)(HC group)matched for body mass index(BMI)underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans and N-back task tests were included.Differ-ences in the amplitude of low-frequency fluctuation(ALFF),regional homogeneity(ReHo),and seed-based functional connectivity(FC)between the two groups were compared,and partial correlation analyses were performed between the difference results and N-back task performance.Results The T2DM group showed prolonged reaction time(RT)in the 1-back and 2-back tasks.T2DM patients exhibited increased ALFF in the bilateral caudate nucleus,left medial superior frontal gyrus,and right postcentral gyrus,as well as elevated ReHo in the right putamen.FC analysis revealed significant alterations in FC between the caudate nucleus,putamen,and multiple brain regions in T2DM patients,with some of these FC changes significantly correlated with RT and accuracy(ACC)in the N-back task.Conclusion The decline in executive function in T2DM patients may be associated with abnormal neural activity in brain regions such as the striatum,salience network,and frontoparietal control network.FC further decreases under increased cognitive load.These findings provide evidence for the study of the neural mechanisms of executive function impairment in T2DM patients.

Objective:To develop and validate the Pain nursing Competency Evaluation Questionnaire for Nursing Students to provide an effective tool for measuring the pain management competency of nursing students in China.Methods:The questionnaire was constructed through literature review, semi-structured interviews, focus group discussions, Delphi expert consultation, and a pre-survey. From September 2023 to January 2024, a convenience sampling method was used to select 250 nursing students from Hangzhou Normal University and Lishui University in Zhejiang Province for the survey. Reliability and validity of the developed questionnaire were tested. A random sample of 30 nursing students was selected for retesting after two weeks.Results:A total of 10 female experts were consulted through correspondence. The Pain Care Competency Evaluation Questionnaire for nursing students consists of 36 items. Through exploratory factor analysis, five common factors were extracted: pain health education, comprehensive pain assessment, pain screening and assessment, analgesic interventions, and analgesic side effects nursing, which together explained 61.695% of the variance. The content validity of the questionnaire was 0.96, and the item-level content validity index ranged from 0.900 to 1.000. The overall Cronbach′s α coefficient was 0.924, and the Cronbach′s α coefficients for the five dimensions ranged from 0.856 to 0.915. The test-retest reliability was 0.831. Conclusions:The Pain Care Competency Evaluation Questionnaire for nursing students developed in this study has good reliability and validity. It can be used as a tool to assess nursing students′ competency in pain care and provides a reference for the design and optimization of pain care courses and clinical practice programs for nursing students in undergraduate institutions.

Objective:To explore the effects of real-time feedback intervention based on ecological momentary assessment on health behaviors and quality of life in stroke patients, to provide new insights and evidence for secondary prevention of stroke and post-discharge rehabilitation management.Methods:This was a non synchronous controlled study. A total of 160 stroke patients admitted to the First Affiliated Hospital of Soochow University from January 2022 to June 2023 were selected by convenience sampling method and sequentially assigned to a control group (80 cases) and an intervention group (80 cases) according to the admission time. The control group received routine discharge follow-ups. The intervention group wore smart wristbands and received ecological momentary assessment -based real-time feedback intervention. Health behaviors and quality of life were compared between the two groups before discharge, 3 months and 6 months after discharge.Results:Both groups of patients completed the study. In the intervention group, there were 43 cases aged ≤ 65 years and 37 cases aged>65 years, with 55 males and 25 females. In the control group, there were 42 cases aged ≤ 65 years and 38 cases aged>65 years, with 53 males and 27 females. There were no significant differences in the level of health behaviors and quality of life before discharge between the two groups (both P>0.05). At both 3 and 6 months after discharge, the total scores of the health behaviors were (92.59 ± 7.12), (92.58 ± 5.77) points in the intervention group, and (86.15 ± 14.64), (83.40 ± 8.19) points in the control group, there were significant differences between the two groups ( t=-3.54, -7.72; both P<0.01). The quality of life in the intervention group at 3 months after discharge was 0.904 ± 0.123, which was higher than the control group's 0.845 ± 0.232, and the difference was statistically significant ( t=-2.01, P<0.05). However, there was no statistically significant difference in the quality of life between the two groups at 6 months after discharge ( P>0.05). The overall compliance rate with smart wristband usage in the intervention group was 100%(80/80). Conclusions:Ecological momentary assessment-based real-time feedback intervention effectively improves health behaviors in stroke patients and enhances their quality of life in the short term, demonstrating good feasibility and acceptability.