BackgroundFamily functioning is one of the factors influencing non-suicidal self-injury （NSSI） behaviors in adolescents with depressive disorders. Previous studies have treated family functioning as a unitary construct， which may obscure the differential impacts of specific dimensions on NSSI behaviors. ObjectiveTo explore the relationships between various dimensions of family functioning and NSSI behaviors in adolescents with depressive disorders， aiming to provide precise targets for family-based interventions for adolescents with depressive disorders who exhibit NSSI behaviors. MethodsIn this cross-sectional study， 217 adolescent patients who were treated at the outpatient or inpatient department of The First Psychiatric Hospital of Harbin from January to July 2025 and met the diagnostic criteria for depressive disorders as stipulated in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were included as the research subjects. Assessments included a self-designed questionnaire， the Hamilton Depression Scale-17 item （HAMD-17）， and the Family Assessment Device （FAD）. Univariate Logistic regression analysis was employed to investigate the association between each dimension of family functioning and the NSSI behaviors， and multivariate Logistic regression was used to test the independent effect of each dimension of family functioning on the NSSI behaviors. ResultsA total of 204 cases （94.01%） of adolescent patients with depressive disorders completed the valid questionnaire survey. Among them， 134 cases （65.69%） exhibited NSSI behaviors （NSSI group）， and 70 cases （34.31%） did not exhibit NSSI behaviors （non-NSSI group）. Compared with the non-NSSI group， the NSSI group had a higher HAMD-17 score ［（20.97±7.50） vs. （17.79±6.95）， t=8.705， P=0.004］， a higher FAD total score ［（155.68±21.84） vs. （148.87±22.72）， t=4.348， P=0.038］， and a higher problem-solving dimension score ［（2.54±0.49） vs. （2.34±0.51）， t=7.399， P=0.007］. All the differences were statistically significant. The results of the Logistic regression analysis showed that the FAD total score （OR=1.014， 95% CI： 1.001–1.028， P=0.041） and the problem-solving dimension score （OR=2.241， 95% CI： 1.228–4.090， P=0.009） were both risk factors for NSSI behaviors. After adjusting for gender， age， residence， educational level， monthly family income， and whether being an only child， the correlation between the FAD total score and NSSI behaviors was not statistically significant （OR=1.010， 95% CI： 0.995–1.025， P=0.185）， while the correlation between the FAD problem-solving dimension score and NSSI behaviors remained statistically significant （OR=2.000， 95% CI： 1.028–3.889， P=0.041）. ConclusionImpaired problem-solving capacity within family functioning may constitute a risk factor for NSSI behaviors in adolescents with depressive disorders. ［Funded by Research Project of Heilongjiang Provincial Health Commission （number， 20240303090148， 20230303090154）］

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To explore the expression of serine/threonine protein kinase 1(AKT1)and Isocho-rismatase Domain-Containing 1(ISOC1)in gastric cancer tissues and evaluate their diagnostic utility.Methods A total of 90 patients with gastric cancer who were diagnosed and treated in our hospital between March 2023 and September 2024 were recruited as the study subjects.The positive expression rates and positive scores of AKT1 and ISOC1 in cancer tissues and adjacent tissues were compared.The AKT1 and ISOC1 positive scores of gastric cancer patients with diverse characteristics were also compared.The Spearman correlation analysis was employed to exam-ine the relationship between the expression of AKT1 and ISOC1 in cancer tissues and the clinical features of gastric cancer patients.A diagnostic model for gastric cancer,integrating AKT1 and ISOC1,was established using the Logistic regression model.Receiver operating characteristic(ROC)curves were plotted to analyze the area under the curve(AUC)value,sensitivity,and specificity of AKT1,ISOC1,and their combined diagnosis for gastric cancer.Results The positive expression rates and positive scores of AKT1 and ISOC1 in cancer tissues were significantly higher than those in paracancerous tissues(P<0.05).In gastric cancer patients,the expressions of AKT1 and ISOC1 were notably higher in patients with low differentiation,clinical stage Ⅰ～Ⅱ,invasion depth T1-2,absence of lymph node metastasis,and no distant metastasis compared to those with moderate differentiation,clinical stage Ⅲ～Ⅳ,invasion depth T3-4,and presence of lymph node metastasis and distant metastasis(P<0.05).Spearman's correlation analysis indicated that AKT1 and ISOC1 were positively correlated with the degree of differ-entiation,clinical stage,lymph node metastasis,invasion degree,and distant metastasis(P<0.05).The area under the curve(AUC)values of AKT1,ISOC1,and their combined diagnosis for gastric cancer were 0.735,0.726,and 0.875 respectively(P<0.05).The sensitivities were 60.00%,56.70%,and 75.60%,while the speci-ficities were 85.60%,83.30%,and 87.80%.The AUC value of the combined detection of AKT1 and ISOC1 in the diagnosis of gastric cancer was higher than that of AKT1 or ISOC1 alone(Z=-3.003,-3.196,P<0.05).Conclusions AKT1 and ISOC1 are highly expressed in gastric cancer tissues,and their expressions are upregu-lated with the progression of the disease.The combined detection of their expression levels holds great significance for the diagnosis and prognosis assessment of gastric cancer.

Objective To analyze the clinical manifestations and diagnostic characteristics of maternal cardiac arrest(MCA)patients,summarize warning symptoms,and provide a basis for the prevention,early identification,and intervention of this event.Methods A retrospective study was conducted.Clinical data of 15 pregnant or postpartum women who experienced cardiac arrest or were transferred to Peking University Third Hospital due to cardiac arrest from January 2012 to December 2023 were collected,including age,comorbidities,causes of MCA,warning symptoms,parameters related to cardiopulmonary resuscitation(CPR,such as time and location of cardiac arrest,initial heart rhythm,electrical defibrillation,medication use,duration of CPR,restoration of spontaneous circulation,and etc.),parameters related to perimortem cesarean delivery(time interval between fetal delivery and cardiac arrest,delivery of infants),clinical outcomes(such as cerebral performance category,length of hospital stay),and multidisciplinary treatment.The main clinical endpoint was patient survival at discharge.The clinical and diagnostic characteristics of MCA were descriptively analyzed,and compare the differences in age,duration of CPR,shockable rhythm,proportion of patients with cardiac arrest occurring prenatally,and length of hospital stay among patients with different prognoses of MCA.Results The median age of 15 MCA patients was 31(30,33)years.A total of 10 cases(66.7%)of patients had concurrent obstetric diseases.Six cases(40.0%)of patients had MCA due to postpartum hemorrhage,which was the most common cause,followed by acute heart failure[2 cases(13.3%)]and pulmonary embolism[2 cases(13.3%)].A total of 12 cases(80.0%)of MCA patients showed obvious warning symptoms before cardiac arrest,with the most common warning symptoms including dyspnea(3 cases,20.0%),consciousness disorders(3 cases,20.0%),and vaginal bleeding(3 cases,20.0%).A total of 12 cases(80.0%)of MCA occurred in late pregnancy.All 15 MCA events occurred within the hospital,with an average of 5(4-6)departments involved in the CPR process.Four patients(26.7%)had an initial heart rhythm of ventricular fibrillation and all received defibrillation therapy,9 patients(75.0%)were treated with adrenaline.Two patients who were over 20 weeks pregnant underwent manual left uterine thrusting intervention during CPR,and both patients were successfully discharged.A total of 12 patients(80.0%)received CPR,of which 7 patients(58.3%)were discharged with good neurological function.A total of 11 patients underwent cesarean section surgery,and the survival rate of fetuses delivered by cesarean section was 83.3%.The duration of CPR in survivors was significantly shorter than that in deceased patients[minutes:7.0(2.0,23.3)vs.144.0(90.0,190.5),P<0.05].Conclusion Postpartum hemorrhage is the most common cause of MCA,and after active treatment,over 50%of patients can achieve good neurological function and be discharged.Comprehensive and effective CPR,strengthened coordination among multidisciplinary teams,and early identification and warning of symptoms are key strategies for improving the prognosis of MCA patients.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Diabetic retinopathy(DR)is a kind of microvascular disease caused by the long-term influence of diabetes mellitus(DM),and it is one of the main cause of global visual impairment and blindness.Its typical characteristics include microaneurysms,hard exudates,macular edema(DME)and neovascularization.Its pathogenesis is diverse,and the root cause is oxidative stress and advanced glycosylation end products.The nuclear red blood cell related factor 2(Nrf2)signa-ling pathway plays an important role in preventing various diseases.As one of the characteristics of DM,hyperglycemia will activate the generation of reactive oxygen species(ROS)in mitochondria.These oxidative stress factors activate the nucle-ar transcription factor κB pathway,becoming the main inducement of various complications of DM.This pathway will in-duce increased transcription of proinflammatory cytokines,including tumor necrosis factor-alpha,transforming growth fac-tor-beta and interleukin-1.The active ingredients of traditional Chinese medicine have significant antioxidant,anti-inflam-matory,anti-apoptotic and angiogenesis-promoting effects,and can block the progression of DR through various mecha-nisms.In this article,the research status of traditional Chinese medicine targeting the Nrf2 signaling pathway in the preven-tion and treatment of DR is reviewed to guide clinical and scientific research.

Objective To discuss the value of the multi-parameter imaging of dual-energy computed tomography(DECT)combined with apparent diffusion coefficient(ADC)value of brain metastases in predicting lung adenocarcinoma with epidermal growth factor receptor(EGFR)gene mutation.Methods The DECT and MRI parameters of 90 patients with lung adenocarcinoma and brain metastases were collected.DECT parameters included normalized iodine concentrations in the arterial and venous phases(N1CA,NICV)and slope of the energy spectrum curves in the arterial and venous phases(kA,kv).The MRI parameters of brain metastases included ADC and relative ADC(rADC)of solid area,necrotic area,and peritumoral edema.Predictive model were constructed for EGFR gene mutation according to the parameters above.Results NICV,kv,ADC and rADC of solid area and peritumoral edema in the EGFR positive group were higher than those in the EGFR negative group,which had statistical significances(P＜0.05).Model1 and model2 were established by combining DECT or MRI parameters,while model3 was established by combining DECT and MRI parameters,which had the best predictive efficiency for EGFR gene mutation,with an area under the curve(AUC)of 0.846.Conclusion The predictive model combining DECT parameters with ADC value of brain metastases can improve the prediction efficiency of EGFR gene mutation in advanced lung adenocarcinoma.

Objective:To assess common errors in head and neck CT angiography (CTA) image reports using four types of large language models (LLM), namely GPT-4, DeepSeek, ERNIE Bot and SparkDesk, and to assess the feasibility of using existing LLMs to support quality control of radiology reports in Chinese.Methods:The study was a cross-sectional study. Totally 1 000 head and neck CTA image reports were randomly selected using the simple random sampling method from Xuanwu Hospital, Capital Medical University in 2023, including 500 primary reports and 500 finalized reports. Two radiologists collaboratively identified six types of errors in the reports: description errors, writing errors, left-right confusion errors, diagnostic omissions, logical sequence errors, and other errors. The overall quality of the reports was assessed using a 5-point Likert scale. Subsequently, GPT-4, DeepSeek, ERNIE Bot and SparkDesk models were employed to detect the same six types of errors in the imaging reports and to provide overall scoring. The results from manual review were considered the gold standard for calculating F1 score to evaluate model performance. Intra-class correlation coefficients ( ICC) were used to assess the consistency between manual scores and the overall scores from the four LLMs. Results:In the primary imaging reports, the proportions of manually detected errors were as follows: descriptive errors 2.6% (13/500), writing errors 0.6% (3/500), left-right confusion errors 0, diagnostic omissions 6.4% (32/500), logical sequence errors 5.2% (26/500), and other errors 0. In the finalized imaging reports, the proportions of errors across the six categories were 0.2% (1/500), 0, 0, 0, 0, and 0.2% (1/500), respectively. For error detection in the primary imaging reports, the F1 scores of GPT-4 for the six error types were 0.992, 0.997, 0.997, 0.967, 0.980, and 0.992, respectively. DeepSeek achieved F1 scores of 0.980, 0.955, 0.981, 0.920, 0.995, and 0.960; ERNIE Bot scored 0.982, 0.990, 1.000, 0.956, 0.976, and 0.999; and SparkDesk achieved 0.985, 0.995, 1.000, 0.961, 0.982, and 1.000. In the detection of errors in finalized imaging reports, GPT-4′s F1 scores were 0.994, 0.995, 0.998, 0.973, 0.989, and 0.993; DeepSeek scored 0.968, 0.965, 0.985, 0.971, 0.991, and 0.983; ERNIE Bot achieved 0.996, 0.992, 1.000, 0.983, 0.999, and 0.997; and SparkDesk achieved 0.999, 0.999, 1.000, 1.000, 1.000, and 0.999. The consistency between GPT-4, DeepSeek, and SparkDesk models and human ratings was moderate, with ICC values of 0.514, 0.560, and 0.515 respectively (all P0.001); in contrast, the overall score of ERNIE Bot showed poor consistency with human ratings, with an ICC of 0.221 ( P0.001). Conclusion:LLMs demonstrate high accuracy in detecting errors in head and neck CTA imaging reports. The overall scoring of report quality shows moderate consistency with manual assessments, indicating a certain feasibility for automated quality control in reporting.

Objective:To investigate the efficacy,safety,and prognostic factors associated with immune checkpoint inhibitors(ICIs)in pa-tients with non-small cell lung cancer(NSCLC)comorbid with chronic obstructive pulmonary disease(COPD).Methods:Clinical and patholo-gical data were collected from 100 patients with stage Ⅲ-Ⅳ NSCLC who received one or more cycles of ICI treatment at Peking University Shougang Hospital between January 2018 and October 2024 were collected.Based on COPD diagnosis,patients were assigned into the NSCLC with COPD(LC-COPD,n=52)and NSCLC without COPD(non-COPD,n=48)groups.The efficacy,safety,and prognostic factors of ICIs treatment were retrospectively analyzed in both groups.Survival analysis was performed using the Kaplan-Meier method,and survival rates were compared using the Log-rank test.Results:Among the patients who received ICIs treatment,median progression-free survival(PFS)in the LC-COPD group was longer than that in the non-COPD group(11.97 vs.7.83 months,P=0.022),but no significant difference was detec-ted in overall survival(OS)(22.37 vs.16.80 months,P=0.110).Compared with the LC-COPD group and patients with normal lung function,the preserved ratio impaired spirometry(PRISm)subgroup showed worse median PFS and OS following immunotherapy(all P<0.05).Multivari-ate analysis revealed that COPD comorbidity,programmed cell death-ligand 1(PD-L1)expression,treatment line,and neutrophil to lympho-cyte ratio(NLR)were independently associated with PFS(P<0.05).Additionally,PD-L1 expression,immunotherapy efficacy,NLR,and inhaled corticosteroids(ICS)use were significantly associated with OS(P<0.05).The incidence of immune-related adverse events was comparable between the two groups.Conclusions:ICI treatment demonstrated a greater positive impact on PFS in patients with NSCLC and COPD than in patients with NSCLC alone in a real-world study,with a good safety profile in both groups.NSCLC patients with PRISm showed poorer out-comes following ICI treatment.PD-L1 expression,FeNO,NLR,and ICS may serve as potential predictive biomarkers for immunotherapy effic-acy in NSCLC patients with COPD.