Objective: To explore the relationship between social jetlag and depressive symptoms in junior high school students, as well as the potential gender differences, so as to provide a reference for developing effective interventions for depressive symptoms and promoting adolescents mental health. Methods: In October 2024, a total of 3 516 students from grades 7 to 9 were recruited from 4 junior high schools in Chongqing Municipality using a combination of cluster sampling and convenience sampling. A questionnaire survey was conducted using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Munich Chronotype Questionnaire (MCTQ). Statistical analyses included the χ 2 test, binary Logistic regression analysis, and stratified Logistic regression analysis. Results: The detection rate of depressive symptoms among the junior high school students was 34.3%. The number of students with social jetlag >2 h was 714 (20.3%), >1-2 h was 1 455(41.4%), and ≤1 h was 1 347(38.3%). Results from the binary Logistic regression analysis showed that compared to the group with social jetlag ≤1 h, the risk of depressive symptoms in the group with social jetlag >2 h was higher ( OR=1.59, 95%CI=1.28-1.98, P <0.01). Gender stratified analysis revealed that among females, the risk of depressive symptoms was higher in the groups with social jetlag of >1-2 h and >2 h compared to the ≤1 h group ( OR = 1.34 and 2.05, 95% CI =1.03-1.75 and 1.48-2.83, both P <0.05). However, among males, the associations were not statistically significant ( OR =1.11 and 1.29, 95% CI =0.86-1.43 and 0.95-1.77, both P >0.05). Conclusions Social jetlag is positively associated with depressive symptoms in junior high school students, demonstrating a threshold effect and gender differences. The findings suggest that reducing social jetlag may decrease the risk of depressive symptoms in adolescents, and targeted intervention measures should be developed considering different gender characteristics.

Objective:To perform RHD gene detection on a blood sample with serological weak D phenotype.Methods:A specimen received by the People's Hospital of Zhijin County was serologically identified by the microcolumn gel method and saline method.RHD gene detection was conducted by the PCR-SSP method,and the full sequence determination of the 10 exons amplified was performed.The sequencing results were compared with the ISBT database to determine the genotype.Bioinformatics tool was used to predict the functional damage of mutant proteins,and Alphafold-3 was used for tertiary structural modeling of wild-type and mutant RhD proteins,and the structures of the two proteins were compared and analyzed to explore the reasons why mutations lead to weak serological manifestations.Results:The patient's genotype was identified as RHD*DV.5/RHD*01N.01 heterozygote,with the complete deletion of RHD genes on one chromosome,unable to express the D antigen.On the other chromosome,a G＞A mutation occurred at the 697th base of the 5th exon,resulting in a partial D phenotype.This mutation causes internal hydrogen bond changes at the 233 position of RhD protein,resulting in a change in the conformation of the protein,affecting binding to the corresponding antibody.Conclusion:The patient is a heterozygous mutant individual with RHD*DV.5/RHD*01N.01,exhibiting a partial D phenotype serologically.This variation is extremely rare and has been scarcely reported globally.

Objective To investigate the benefits and challenges of the reform in evidence-based obstetric nursing practice in clinical nursing,therefore to provide a reference for initiating and keeping the reform in evidence-based nursing practices.Methods A method of descriptive phenomenological research was conducted between January and February 2024 in our hospital on 10 selected clinical nurses by purposive sampling.An outline for interviews was developed based on literature review and expert interviews,followed by semi-structured interviews with the nurses.Core themes were extracted with Colaizzi's seven-step analysis.Results Three themes and 12 sub-themes were summarised in this study.The 3 core themes that were identified among the nurses included:acceptance of evidence-based nursing practice reform(with 3 domains regarding knowledge,decision-making and action),perception of the benefits of the reform in evidence-based nursing practice(with 5 domains regarding the professionalism and scientific nature of clinical nursing,improvement of patient experience and nursing outcomes,enhancement of nursing quality and safety,promotion of innovation in on-the-job training and education,and facilitation of collaboration within the nursing team),and perception in the challenges of reform in evidence-based nursing practice(with 4 domains regarding the stress and challenges,doubts and resistance,poor cooperation between doctors and nurses,and risks in clinical decision-making).Conclusion The acceptance regarding reform in evidence-based nursing practice varies among the nurses.It is necessary to promote the acceptance,provide the targeted guidance and intervene in the factors of benefits and challenges among the nurses,hence to facilitate a smooth implementation of the reform in evidence-based nursing practice.

Objective:To perform RHD gene detection on a blood sample with serological weak D phenotype.Methods:A specimen received by the People's Hospital of Zhijin County was serologically identified by the microcolumn gel method and saline method.RHD gene detection was conducted by the PCR-SSP method,and the full sequence determination of the 10 exons amplified was performed.The sequencing results were compared with the ISBT database to determine the genotype.Bioinformatics tool was used to predict the functional damage of mutant proteins,and Alphafold-3 was used for tertiary structural modeling of wild-type and mutant RhD proteins,and the structures of the two proteins were compared and analyzed to explore the reasons why mutations lead to weak serological manifestations.Results:The patient's genotype was identified as RHD*DV.5/RHD*01N.01 heterozygote,with the complete deletion of RHD genes on one chromosome,unable to express the D antigen.On the other chromosome,a G＞A mutation occurred at the 697th base of the 5th exon,resulting in a partial D phenotype.This mutation causes internal hydrogen bond changes at the 233 position of RhD protein,resulting in a change in the conformation of the protein,affecting binding to the corresponding antibody.Conclusion:The patient is a heterozygous mutant individual with RHD*DV.5/RHD*01N.01,exhibiting a partial D phenotype serologically.This variation is extremely rare and has been scarcely reported globally.

Objective:To introduce the clinical application of "page-turning" superior pancreatic lymph node dissection in laparoscopic D2 radical gastrectomy for gastric cancer.Methods:Patients who were confirmed to have adenocarcinoma by preoperative gastroscopy and pathological biopsy, with tumor staging evaluated by imaging as cT1~4aN0~3M0, without neoadjuvant therapy, and without absolute surgical contraindications, underwent laparoscopic radical gastrectomy for gastric cancer with "page-turning" superior pancreatic lymph node dissection. The "page-turning" superior pancreatic lymph node dissection was performed in four steps: (1) Expose the posterior gastric mesentery and dissect No.11p lymph nodes; (2) Expose the left gastric mesentery and dissect No.7, No.8a and No.9 lymph nodes; (3) Expose the right gastric mesentery and dissect No.5 lymph nodes; (4) Expose the left edge of the portal vein and dissect No.12a lymph nodes.Results:From April 2018 to October 2024, 112 patients with gastric cancer underwent laparoscopic D2 radical gastrectomy with "page-turning" superior pancreatic lymph node dissection, including 21 cases in the First Affiliated Hospital of Guangzhou University of Chinese Medicine, 78 cases in the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, and 13 cases in the Department of Gastrointestinal Surgery, Jilin Provincial People's Hospital. The TNM staging of all patients was as follows: 31 cases in stage Ⅰ, 24 cases in stage Ⅱ, and 57 cases in stage Ⅲ; 62 cases of differentiated adenocarcinoma and 50 cases of undifferentiated adenocarcinoma; the median length of tumors was 3.8 cm. All patients successfully completed the operation without conversion to open surgery, no intraoperative massive hemorrhage or postoperative death. The median total number of lymph nodes dissected in all patients was 32, and the median number of positive lymph nodes was 4.5. The overall postoperative complication rate was 5.4% (6/112), all of which were Clavien-Dindo grade Ⅱ, including pulmonary infection, pleural effusion, and incisional infection, all cured by symptomatic treatment. The median follow-up was 41.8 (2-78) months, with 7 cases lost to follow-up. During the follow-up period, 27 cases (25.7%) had tumor recurrence and 16 cases (15.2%) died.Conclusions:The "page-turning" superior pancreatic lymph node dissection technique is safe and feasible in laparoscopic radical gastrectomy for gastric cancer.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM To study the chemical constituents from the leaves of Drynaria fortunei(Kunze)J.Sm.and their antioxidant activity.METHODS ODS-AG-HG,Sephadex LH-20 and semi-preparative HPLC were used for separation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH mothod.RESULTS Fifteen compounds were isolated and identified as kaempferol-3-O-neohesperidoside(1),dihydrodehydrodiconiferyl alcohol(2),kaempferol-3,7-di-O-α-L-rahmnoside(3),astragalin(4),loliolid(5),trichothecene analogue(6),2,2-[bis-4-(2,3-dihydroxypropoxy)phenyl]propane(7),maculatin(8),trichothecin(9),4-[(Z)-but-2-enoyloxy]-8-chloro-12-hydroxy-7,13-epoxytrichothec-9-ene(10),8-deoxy-trichotecin(11),β-sitosterol(12),daucosterol(13),afzelin(14),samwinol(15).The IC50 values of the leaf and rhizome extracts against DPPH free radicals were(0.072±0.005),(0.287±0.012)mg/mL,respectively.CONCLUSION Compounds 1,2,5-11,15 are isolated from this plant for the first time.The leaves of D.fortunei exhibit strong antioxidant activity.

Objective:To investigate the factors influencing left atrial fibrosis in patients with atrial fibrillation(AF)and the association of Periostin protein,serum transforming growth factor-β2(TGF-β2)with left atrial fibrosis.Methods:We enrolled 100 AF patients admitted to Gansu Provincial People's Hospital between March 2021 and March 2023.They were divided into control group(＜10％,n=53)and fibrosis group(≥10％,n=47)according to their left atrial low voltage region.Univariate and multivariate Logistic regression were used to analyze the influ-encing factors of left atrial fibrosis in AF patients and construct a nomogram model.The diagnostic value of related factors and their combined detection for left atrial fibrosis in AF patients were analyzed by receiver operating char-acteristic curve(ROC).Spearman correlation analysis was used to analyze the association of Periostin protein,TGF-β2 with left atrial fibrosis in AF patients.Results:Compared to patients in the control group,those in the fibrosis group had significant higher left atrial diameter(LAD)[(37.08±3.19)mm vs.(33.45±2.45)mm],levels of ser-um uric acid(SUA)[(313.75±49.06)μmol/L vs.(279.88±38.15)μmol/L],Periostin protein[(83.27±3.98)ng/L vs.(75.21±3.04)ng/L],TGF-β2[(4346.84±321.34)ng/L vs.(4186.02±306.91)ng/L],and signifi-cant lower left atrial ejection fraction(LVEF)[(62.28±5.00)％vs.(67.24±3.07)％](P＜0.05 or＜0.01).Multivariate Logistic regression analysis showed that LAD(OR=1.663,95％CI 1.238～3.887,P=0.001),SUA(OR=1.586,95％CI 1.164～2.892,P＜0.001),Periostin protein(OR=1.997,95％CI 1.513～4.585,P=0.001),TGF-β2(OR=2.013,95％CI 1.543～5.864,P＜0.001)were independent risk factors for left atrial fi-brosis in AF patients,while LVEF was an independent protective factor(OR=0.524,95％CI 0.141～0.920,P=0.002).The nomogram model for left atrial fibrosis in AF patients:logit(P)=4.631+0.445 × LVEF+0.546 × LAD+0.575 × SUA+0.530 × Periostin protein+0.347 × TGF-β2.ROC curve showed that the area under the curve(AUC)of combined detection(0.893,95％CI 0.842～0.932)was significantly higher than SUA(AUC=0.637,95％CI 0.566～0.704),LVEF(AUC=0.701,95％CI 0.632～0.763),LAD(AUC=0.649,95％CI 0.579～0.715),Periostin protein(AUC=0.676,95％CI 0.606～0.740),TGF-β2(AUC=0.641,95％CI 0.570～0.707)alone(Z=5.265,6.399,6.379,6.040,6.483,P＜0.001 all).Spearman correlation analysis showed that Perios-tin protein and TGF-β2 were significantly positive correlated with left atrial fibrosis in AF patients(r=0.536,0.578,P＜0.001 all).Conclusion:Periostin protein and TGF-β2 were independent risk factors for left atrial fi-brosis in AF patients and were significantly positive correlated with it,a combination of above-mentioned indexes,cardiac function indexes and uric acid had good diagnostic value for left atrial fibrosis.

Objective:To analyze the incidence, clinical characteristics, and prognosis of basilar artery occlusion (BAO) patients presenting with paroxysmal sympathetic hyperactivity (PSH) as an initial symptom.Methods:A retrospective analysis was conducted on BAO patients with PSH manifestations who received endovascular treatment at Xingtai Central Hospital between January 2018 and August 2024. Demographic characteristics, clinical data, imaging findings, and follow-up information were collected.Results:A total of 136 BAO patients were included, of whom 22 cases (16.2%) were diagnosed with PSH. The age of the patients was (56.81±9.92) years, with males accounting for 86.4%(19/22). On admission, the Glasgow Coma Scale score was 4(3, 5), and the National Institutes of Health Stroke Scale score was 30(25, 35). The successful reperfusion (modified Thrombolysis In Cerebral Infarction 2b-3) rate was 90.9%(20/22). In-hospital mortality was 50.0%(11/22), symptomatic hemorrhagic transformation occurred in 4.5% (1/22), and any type of intracranial hemorrhage occurred in 9.1%(2/22). Clinical features of PSH included tachycardia, tachypnea, hypertension, fever, diaphoresis, and increased muscle tone. Imaging analysis showed a high proportion of cerebellar (100.0%, 22/22) and midbrain (72.7%, 16/22) involvement. The 90-day follow-up showed that 72.7%(16/22) of the patients had poor functional outcomes (modified Rankin Scale score of 4-6), and the 90-day mortality rate was 59.1%(13/22).Conclusions:Among patients with BAO undergoing endovascular therapy, the incidence of PSH as the initial manifestation was 16.2%(22/136). These patients were predominantly middle-aged men and commonly presented with tachycardia, tachypnea, hypertension, fever, diaphoresis, and increased muscle tone. Imaging findings mainly involved the cerebellum and midbrain. Despite a relatively high rate of recanalization, patients with PSH exhibited a higher risk of mortality and poor functional outcomes.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks