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.

ObjectiveTo identify the active constituents of Kaixuan Jiedu core prescription （KXJD） and investigate its effective components and therapeutic targets in the treatment of common psoriasis. MethodsUltra-performance liquid chromatography-high resolution mass spectrometry （UPLC-Q-TOF MS） was used to identify and analyze the chemical components of KXJD and its blood-entering chemical components. The chemical components of the single decoction were further identified to clarify the source of the chemical components in KXJD. Then， all identified blood-entering compounds were screened for effective active ingredients through the Swiss ADME database. The active ingredient targets of KXJD were searched on the Swiss Target Prediction platform. The targets of common psoriasis were searched in OMIM， GEO， GeneCards， and DISGNET databases to obtain drug-disease intersection targets. The protein-protein interaction network of intersection targets was constructed using STRING， and then the core blood-entering component-intersection target network of KXJD was constructed. The core target proteins in the network were selected for molecular docking with the core components of KXJD. Small molecules and proteins were pretreated， and appropriate docking sites were selected. AutoDock Vina software was used for continuous local search and repeated iterations to find molecular docking conformations. PyMOL software and LigPlot+ software were used for analysis and visualization. Subsequently， the verification was carried out through animal experiments. SPF-grade male C57 mice were randomly divided into a blank group， a model group， a positive drug methotrexate group， and a KXJD group. In the model group， the methotrexate group， and the KXJD group， imiquimod was applied to the backs of the mice for modeling. The blank group and the model group were administered normal saline by gavage， while the methotrexate group and the KXJD group were respectively administered 1 mg·kg^-1 suspension and 30.42 g·kg^-1 decoction of traditional Chinese medicine by gavage. Five days after administration， the mice were sacrificed， and samples were collected. Hematoxylin-eosin （HE） staining was used to observe the skin tissue samples of mice， and the effect of KXJD on the pathological manifestations of psoriasis mice was analyzed. The expression areas of tumor necrosis factor-α （TNF-α）， cyclooxygenase 2 （PTGS2）， interleukin （IL）-1β， and IL-6 in the skin tissue of mice were detected by immunohistochemistry （IHC）. The mRNA expressions of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of mice were detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）. ResultsIn this study， 208 compounds in KXJD were identified by UPLC-Q-TOF MS， and 44 compounds were detected in serum， including 28 prototype components and 16 metabolites. 12 blood-entering active components were screened， and 1 153 active component targets and 1 076 psoriasis-related targets were identified. Eighty-five targets in the intersection set were drug-disease common targets. PPI network analysis showed that TNF-α， IL-1β， IL-6， PTGS2， and ALB were the key target proteins. The results of molecular docking showed that the binding ability of （+）-hexylphenylglycolic acid to key target proteins such as PTGS2 was stable， and PTGS2 showed high stability with a variety of core compounds. Compared with those in the blank group， the stratum corneum and epidermis in the model group mice were significantly thickened， and the pathological Baker score of the mice's skin in the model group was significantly higher than that of the blank group （P<0.01）. The expression areas of PTGS2， TNF-α， IL-1β， and IL-6 proteins in the skin tissue of the model group mice were significantly increased （P<0.01）， and the expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the model group mice were significantly elevated （P<0.01）. Compared with the model group， the pathological Baker scores of the methotrexate group and the KXJD group were both decreased （P<0.01）， and the expression areas in the skin tissue of the methotrexate group and the KXJD group were significantly reduced （P<0.05， P<0.01）. The expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the methotrexate group and the KXJD group were significantly decreased （P<0.01）. ConclusionKXJD can effectively improve the skin lesions of psoriasis model mice and reduce the expression of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of psoriasis model mice. PTGS2 has a stable binding ability with a variety of compounds in the decoction， which may be a key target for the treatment of psoriasis. The compound （+）-hexylphenylglycolic acid may play a key role.

ObjectiveTo identify the active constituents of Kaixuan Jiedu core prescription （KXJD） and investigate its effective components and therapeutic targets in the treatment of common psoriasis. MethodsUltra-performance liquid chromatography-high resolution mass spectrometry （UPLC-Q-TOF MS） was used to identify and analyze the chemical components of KXJD and its blood-entering chemical components. The chemical components of the single decoction were further identified to clarify the source of the chemical components in KXJD. Then， all identified blood-entering compounds were screened for effective active ingredients through the Swiss ADME database. The active ingredient targets of KXJD were searched on the Swiss Target Prediction platform. The targets of common psoriasis were searched in OMIM， GEO， GeneCards， and DISGNET databases to obtain drug-disease intersection targets. The protein-protein interaction network of intersection targets was constructed using STRING， and then the core blood-entering component-intersection target network of KXJD was constructed. The core target proteins in the network were selected for molecular docking with the core components of KXJD. Small molecules and proteins were pretreated， and appropriate docking sites were selected. AutoDock Vina software was used for continuous local search and repeated iterations to find molecular docking conformations. PyMOL software and LigPlot+ software were used for analysis and visualization. Subsequently， the verification was carried out through animal experiments. SPF-grade male C57 mice were randomly divided into a blank group， a model group， a positive drug methotrexate group， and a KXJD group. In the model group， the methotrexate group， and the KXJD group， imiquimod was applied to the backs of the mice for modeling. The blank group and the model group were administered normal saline by gavage， while the methotrexate group and the KXJD group were respectively administered 1 mg·kg^-1 suspension and 30.42 g·kg^-1 decoction of traditional Chinese medicine by gavage. Five days after administration， the mice were sacrificed， and samples were collected. Hematoxylin-eosin （HE） staining was used to observe the skin tissue samples of mice， and the effect of KXJD on the pathological manifestations of psoriasis mice was analyzed. The expression areas of tumor necrosis factor-α （TNF-α）， cyclooxygenase 2 （PTGS2）， interleukin （IL）-1β， and IL-6 in the skin tissue of mice were detected by immunohistochemistry （IHC）. The mRNA expressions of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of mice were detected by real-time fluorescent quantitative polymerase chain reaction （Real-time PCR）. ResultsIn this study， 208 compounds in KXJD were identified by UPLC-Q-TOF MS， and 44 compounds were detected in serum， including 28 prototype components and 16 metabolites. 12 blood-entering active components were screened， and 1 153 active component targets and 1 076 psoriasis-related targets were identified. Eighty-five targets in the intersection set were drug-disease common targets. PPI network analysis showed that TNF-α， IL-1β， IL-6， PTGS2， and ALB were the key target proteins. The results of molecular docking showed that the binding ability of （+）-hexylphenylglycolic acid to key target proteins such as PTGS2 was stable， and PTGS2 showed high stability with a variety of core compounds. Compared with those in the blank group， the stratum corneum and epidermis in the model group mice were significantly thickened， and the pathological Baker score of the mice's skin in the model group was significantly higher than that of the blank group （P<0.01）. The expression areas of PTGS2， TNF-α， IL-1β， and IL-6 proteins in the skin tissue of the model group mice were significantly increased （P<0.01）， and the expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the model group mice were significantly elevated （P<0.01）. Compared with the model group， the pathological Baker scores of the methotrexate group and the KXJD group were both decreased （P<0.01）， and the expression areas in the skin tissue of the methotrexate group and the KXJD group were significantly reduced （P<0.05， P<0.01）. The expression levels of PTGS2， TNF-α， IL-1β， and IL-6 mRNA in the skin tissue of the methotrexate group and the KXJD group were significantly decreased （P<0.01）. ConclusionKXJD can effectively improve the skin lesions of psoriasis model mice and reduce the expression of TNF-α， IL-1β， IL-6， and PTGS2 in the skin tissue of psoriasis model mice. PTGS2 has a stable binding ability with a variety of compounds in the decoction， which may be a key target for the treatment of psoriasis. The compound （+）-hexylphenylglycolic acid may play a key role.

Objective To investigate the effectiveness of the curriculum design and teaching mode reform in Health Statistics through the assessment by postgraduate students so as to enhance the teaching performance of the course.Methods A questionnaire survey was conducted among the postgraduate students of grade 2023 at a certain medical university.The survey covered such aspects as students'mastery and application of the course learning content,their evaluation and satisfaction with the course,etc.Descriptive approaches were employed to analyze and summarize the data.Results Students achieved a good command of theoretical knowledge and its application.They highly evaluated the teacher,the course content and its practicality,demonstrated a strong interest in learning,expressed a high level of satisfaction with the course,and manifested a strong willingness to continue studying the course.The learning of the course met the expectations of the students.The final exam scores in the later stage of curriculum reform(78.60±10.58)was higher than that before the reform(75.78±7.97,P<0.05);the excellent rate after the reform was 53.6%,which was higher than the 33.5%before the reform(P<0.05).Conclusion The construction of a course system that integrates knowledge,skills the mixed teaching mode of case-based teaching and the combination of theory and statistical software package operation are beneficial for enhancing postgraduate students'learning and application of the course in health statistics.It also strengthens the design and training of course application aspects for students in clinical medicine and dental medicine disciplines.

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.

Acute respiratory distress syndrome (ARDS) is a common respiratory emergency, but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures. Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS, but the application of hydrogen has flammable and explosive safety concerns. Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance, thus improving ARDS in patients and animal models. Coral calcium hydrogenation (CCH) is a new solid molecular hydrogen carrier prepared from coral calcium (CC). Whether and how CCH affects acute lung injury in ARDS remains unstudied. In this study, we observed the therapeutic effect of CCH on lipopolysaccharide (LPS) induced acute lung injury in ARDS mice. The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable, demonstrating a significant improvement compared to the untreated ARDS model group. CCH treatment significantly reduced pulmonary hemorrhage and edema, and improved pulmonary function and local microcirculation in ARDS mice. CCH promoted mitochondrial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2 (Trx2), improved lung mitochondrial dysfunction induced by LPS, and reduced oxidative stress damage. The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

We have isolated an intestinal probiotic strain, Pediococcus acidilactici HRQ-1. To improve its gastrointestinal fluid tolerance, transportation and storage stability, and slow-release properties, we employed the extrusion method to prepare the microcapsules with P. acidilactici HRQ-1 as the core material and sodium alginate and chitosan as the wall material. The optimal conditions for preparing the microcapsules were determined by single factor and orthogonal tests, and the optimal ratio was determined by taking the embedding rate, survival rate, storage stability, gastrointestinal fluid tolerance, and release rate as the evaluation indexes. The results showed that under the optimal embedding conditions, the embedding rate reached (89.60±0.02)%. Under the optimal formula of freeze-drying protective agent, the freeze-drying survival rate reached (76.42±0.13)%, and the average size of the microcapsules produced was (1.16±0.03) mm. The continuous gastrointestinal fluid simulation experiments confirmed that the microcapsules ensured the viable bacterial count and can slowly release bacteria in the intestinal fluid. The curve of the viable bacterial count during storage at 4 ℃ and room temperature indicated that the prepared microcapsules achieved strains' live number protection. The formula and preparation process of P. acidilactici microcapsules may provide a technological reserve for the preparation of more live bacterial drugs in the future.
Pediococcus acidilactici/chemistry* ; Probiotics/chemistry* ; Capsules/chemistry* ; Alginates/chemistry* ; Chitosan/chemistry* ; Drug Compounding/methods* ; Glucuronic Acid/chemistry* ; Hexuronic Acids/chemistry* ; Freeze Drying

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.