Employing bibliometric methods and adhering to principles of textual research， this study systematically investigated prescription source， formula name， composition evolution， dose evolution， origin， processing， ancient and modern applications of Xiaofengsan. Xiaofengsan， also known as Renshen Xiaofengsan and Chantui Xiaofengsan， was first recorded in the Taiping Huimin Hejijufang（hereafter referred to as Jufang） of the Southern Song dynasty. The formula composition included Schizonepetae Spica， Glycyrrhizae Radix et Rhizoma， Chuanxiong Rhizoma， Notoptery Rhizoma et Radix， Bombyx Batryticatus， Saposhnikoviae Radix， Poria， Cicadae Periostracum， Pogostemonis Herba， Ginseng Radix et Rhizoma， Magnoliae Officinalis Cortex and Citri Reticulatae Pericarpium， a total of 12 medicinal materials. In terms of the evolution of formula composition， formulas across dynasties largely aligned with those recorded in Jufang， with only minor variations in application. The results of the formula dosage research indicated that one dose of medication in Jufang corresponded to the following modern dosages：Schizonepetae Spica of 82.6 g， Glycyrrhizae Radix et Rhizoma of 82.6 g， Chuanxiong Rhizoma of 82.6 g， Notoptery Rhizoma et Radix of 82.6 g， Bombyx Batryticatus of 82.6 g， Saposhnikoviae Radix of 82.6 g， Poria of 82.6 g， Cicadae Periostracum of 82.6 g， Pogostemonis Herba of 82.6 g， Ginseng Radix et Rhizoma of 82.6 g， Magnoliae Officinalis Cortex of 20.65 g and Citri Reticulatae Pericarpium of 20.65 g， the origins of all the constituent drugs were consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The results of the investigation into the decoction method indicated that the aforementioned drugs should be finely ground into powder（pass through the No.5 sieve）， and 8.26 g was taken for each dose， which was taken with the clear liquid obtained by steeping tea leaves in boiling water for several minutes. This mixture was administered three times daily， 30 min after meals. The ancient functional indications of this formula mainly involved dispelling wind-heat， eliminating pathogenic factors and regulating the middle Jiao. It primarily treated all wind-heat syndromes manifesting as skin diseases， predominantly affecting the upper body， especially the head and face. The diseases involved in modern applications were mostly dermatological diseases， including urticaria， eczema， atopic dermatitis and others. In this paper， by combing the relevant ancient literature， the key information of Xiaofengsan was textual researched， in order to provide reference for the modern application and development of this formula.

ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo investigate the mechanisms by which the combination of berberine （BBR） and baicalin （BAI） ameliorates type 2 diabetes mellitus （T2DM） due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group （n=10） and a T2DM （syndrome of internal accumulation of dampness-heat） fecal microbiota transplantation group （n=20）. The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage， respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group （n=8） and a BBR-BAI group （n=11）. BBR was administrated at a dose of 200 mg·kg^-1， and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， insulin （INS）， triglycerides （TG）， total cholesterol （CHOL）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1， zonula occludens-1 （ZO-1）， and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to assess the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry （UPLC-Q-TOF-MS）， respectively. ResultsThe BBR-BAI combination lowered the FBG， HbA1c， and INS levels （P<0.05， P<0.01） and alleviated insulin resistance （P<0.01） in T2DM mice. Additionally， BBR-BAI elevated the levels of ZO-1， occludin， and claudin-1 （P<0.05， P<0.01） and down-regulated the expression levels of TNF-α， IL-1β， and IL-6 in the colon （P<0.05， P<0.01）. The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus， Phascolarctobacterium， and Akkermansia （P<0.05）， while significantly decreasing the relative abundance of Alistipes， Odoribacter， and Colidextribacter （P<0.05）. UPLC-Q-TOF-MS identified 28 differential metabolites， which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.

Objective:To explore the impulsivity characteristics of patients with attention deficit hyperactivity disorder(ADHD)comorbid with borderline personality disorder(BPD)and the mediating role of emotion regula-tion strategies.Methods:A total of 96 patients with ADHD meeting the diagnostic criteria of the American Diagnos-tic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)were enrolled,48 of whom had comorbid BPD.Impulsivity was assessed with the Barratt Impulse Scale(BIS)and the impulse control difficulty dimensions of Emotional Regulation Difficulty Scale(DERS).Emotion regulation strategies were evaluated with the Emotion Regulation Questionnaire(ERQ).Results:No significant differences were found between the ADHD with and with-out BPD group in cognitive impulsivity,motor impulsivity,or non-planning impulsivity as assessed with the BIS(Ps＞0.05).However,the ADHD with BPD group showed higher scores on the DERS impulse control difficulty subscale(P＜0.001)and less frequent use of cognitive reappraisal strategies(P＜0.001).Cognitive reappraisal partially mediated the relationship between ADHD with BPD and impulse control difficulties,with an effect size of 25.9％.Conclusion:ADHD patients comorbid with BPD exhibit heightened emotional impulsivity,which might be partially mediated by reduced use of cognitive reappraisal.

Glioblastoma (GBM) is the most aggressive malignant tumor of the adult central nervous system, with limited treatment options and poor prognosis. Radiotherapy (RT) remains a cornerstone of GBM treatment; however, tumor cell resistance to RT severely limits its efficacy. Recently, metabolic reprogramming (MR) has gained widespread attention as a critical mechanism enabling GBM cells to evade RT‐induced stress. In this review, the central roles of glucose, lipid, and amino acid metabolic reprogramming in GBM's resistance to RT were outlined, highlighting how GBM remodels metabolic pathways to enhance DNA damage repair, antioxidant defenses, and immune evasion after RT. Although combining metabolic inhibitors with RT has shown potential in improving GBM treatment outcomes, challenges such as overcoming the blood‐brain barrier and addressing tumor heterogeneity remain. The integration of nanomedicine‐based delivery systems and immunotherapy offers new hope for GBM treatment. Future research should focus on developing multidimensional, personalized metabolic targeting strategies, combined with immunotherapy and emerging technologies, to further improve therapeutic outcomes and survival rates for GBM patients.

Objective:To evaluate the clinical performance of high-risk human papillomavirus (HR-HPV) genotyping in cervical cancer screening.Methods:Between June and July 2017, a prospective cervical cancer screening cohort was established in Xiaye Town, Jiyuan City, Henan Province, China by recruiting 3 254 women aged 21 to 64 years. At baseline screening, cervical exfoliated cell specimens were collected for HR-HPV genotyping and liquid-based cytology testing. Follow-ups were conducted over a 3-year period, with cytology testing in the first and second years and both HR-HPV genotyping and cytology testing in the third year. Women meeting the referral criteria were referred for colposcopy, with cervical biopsy and histopathological diagnosis performed as necessary. The endpoint was defined as cervical intraepithelial neoplasia grade 2 (CIN2) or higher confirmed by histopathological diagnosis. The sensitivity and specificity for detecting CIN2 or higher lesions of HR-HPV genotyping were calculated, as well as the cumulative risk of developing CIN2 or higher lesions over the 4-year study period in women with different baseline HR-HPV genotyping results.Results:A total of 2 741 women were included in the statistical analysis. Baseline HR-HPV genotyping detected 453 HR-HPV positive cases (16.53%), including 98 HPV 16/18 positive cases (3.58%) and 355 other HR-HPV positive cases (12.95%). During the 4-year period, 83 cases of CIN2 or higher were diagnosed. The sensitivity and specificity of baseline HR-HPV positivity for CIN2 or higher were 89.16% (95% CI: 80.66%-94.19%) and 85.74% (95% CI: 84.36%-87.02%), respectively. The corresponding rates for HPV 16/18 positivity were 43.37% (95% CI: 33.24%-54.09%) and 97.67% (95% CI: 97.02%-98.18%). The 4-year cumulative absolute risk of CIN2 or higher was highest in the HPV 16/18 positive group (36.73%, 95% CI: 27.85%-46.62%), followed by other HR-HPV positive groups (10.70%, 95% CI: 7.87%-14.38%), and the HR-HPV negative group was the lowest (0.39%, 95% CI: 0.19%-0.76%). Conclusions:HR-HPV genotyping testing exhibits high sensitivity and specificity for detecting CIN2 or higher lesions in cervical cancer screening. It also provides a scientific basis for stratifying the individual risk of developing CIN2 or higher lesions to guide subsequent management. Therefore, the HR-HPV genotyping testing can be considered as an effective method for cervical cancer screening.

Background Staff in biosafety laboratories (BSL) are more likely to experience occupational burnout and other psychological issues due to their unique working environment and high job demands. However, current research in this field tends to focus on overall analyses, overlooking the internal differences within this group. Objective To explore latent profiles of occupational burnout among BSL workers and their influencing factors, providing a reference for targeted burnout interventions. Methods In 2022, cluster random sampling was used to select 8023 BSL workers in Xinjiang. Data were collected via a questionnaire survey, including a self-designed general information questionnaire, the Maslach Burnout Inventory-General Survey (MBI-GS), and the Effort-Reward Imbalance (ERI) scale, to analyze demographic characteristics, occupational burnout, and job stress status. After data cleaning, latent profile analysis (LPA) was applied to identify burnout profiles, followed by K-means clustering for verification. Logistic regression was used to analyze influencing factors with burnout profiles as the dependent variable. Results After excluding invalid questionnaires, 7924 valid questionnaires were retained, with an recovery rate of 98.77%. The LPA results indicated that occupational burnout among BSL staff was categorized into three latent profiles: a low burnout profile (2208 individuals, 27.86%), a moderate burnout profile (4636 individuals, 58.51%), and a high burnout profile (1080 individuals, 13.63%). A similar grouping was derived from K-means clustering analysis (28.71%, 53.37%, and 17.92%), and a Sankey diagram demonstrated significant overlap between the two classification results. Statistically significant differences were observed across the three latent profiles in all three dimensions of burnout: emotional exhaustion, cynicism, and reduced personal accomplishment. The final logistic regression model revealed that the influencing factors exhibited characteristics of partial overlap and partial differentiation. Among the common influencing factors, the shared protective factors included: age ≥50 years (OR_{moderate burnout}=0.42, OR_{high burnout}=0.45), monthly income of 4000-6000 RMB (OR_{moderate burnout}=0.83, OR_{high burnout}=0.71), good sleep quality (OR_{moderate burnout}=0.70, OR_{high burnout}=0.13) and very good sleep quality (OR_{moderate burnout}=0.51, OR_{high burnout}=0.12), and engaging in physical exercise ≥5 times per week (OR_{moderate burnout}=0.74, OR_{high burnout}=0.48). The protective effects were more pronounced for the high burnout profile. The common risk factors included: 21–30 years of service (OR_{moderate burnout}=1.38, OR_{high burnout}=3.00), ≥31 years of service (OR_{moderate burnout}=1.47, OR_{high burnout}=3.39), working in "other positions" (OR_{moderate burnout}=1.46, OR_{high burnout}=1.56), and occupational stress (ERI>1) (OR_{moderate burnout}=2.62, OR_{high burnout}=3.25), with the risk effects being more significant for the high burnout profile. Regarding differentiated influencing factors, protective factors exclusively associated with the moderate burnout profile included having an associate degree (OR=0.70) and engaging in physical exercise 3-4 times per week (OR=0.74). For the high burnout profile, exclusive protective factors included age 40-50 years (OR=0.56), while exclusive risk factors included having a senior professional title (OR=1.85), holding a managerial role (OR=1.78), a high number of night shifts per month (OR=2.66), and a very high number of night shifts per month (OR=3.93). Conclusion BSL workers exhibit three distinct latent burnout profiles. Occupational burnout requires greater attention, and targeted prevention and intervention strategies should be developed based on worker subtypes.

Objective To explore the role and underlying mechanism of the transcriptional coactivator with PDZ-binding motif(TAZ)and a histone variant of acute histone H2A(H2A.Z)in the repair of hypoxia-induced lung injury.Methods A mouse model of hypoxic lung injury was established by being placed in a hypoxia chamber(simulating an altitude of 5 800 m)for 4 d.HE staining was used to observe the severity of lung injury.A hypoxia model of murine alveolar epithelial cells(murine lung epithelial-12,MLE12)was constructed by treating the cells in a hypoxia workstation(1%O2 concentration)for 24 h.Western blotting was employed to detect TAZ expression.The proliferation of alveolar epithelial cells(AECs)was evaluated by CCK-8 assay.Co-immunoprecipitation(Co-IP)assay was utilized to verify the interaction between TAZ and H2A.Z.CUT&Tag sequencing was performed to determine the effect of TAZ on the chromatin deposition of H2A.Z.Results Hypoxia significantly induced alveolar atrophy and inflammatory infiltration in mouse lung tissues(P＜0.01).Hypoxia significantly up-regulated the protein level of TAZ in MLE12 cells(P＜0.05).CCK-8 assay showed that knockdown of TAZ significantly reduced the proliferative capacity of AECs(P＜0.01).Co-IP assay confirmed the physical interaction between TAZ and H2A.Z.CUT&Tag sequencing revealed that hypoxia promoted the deposition of H2A.Z on chromatin(31 817 peaks under normoxia,44 078 peaks under hypoxia),which was partially reversed by TAZ knockdown(37 840 peaks).Conclusion Hypoxia significantly up-regulates the expression of TAZ,which combines with H2A.Z and promotes the deposition of H2A.Z on chromatin,thus enhancing the proliferation of AECs in response to hypoxic injury.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.