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）］

Objective: To investigate the damaging effects of red blood cell supernatant (RBC-S) stored for different durations (7 d, 14 d, and 28 d) on vascular endothelial cells, and to explore the underlying mechanisms using bioinformatics analysis, so as to provide references for optimizing red blood cell transfusion strategies. Methods: Human umbilical vein endothelial cells (HUVECs) were co-cultured with RBC-S stored for 7, 14 and 28 days, designated as the 7 d group, 14 d group and 28 d group respectively, which were collectively defined as the experimental groups. Cell damage was evaluated by cell proliferation assay (Cell Counting Kit8, CCK8), lactate dehydrogenase (LDH) release assay, 4′, 6diamidino2phenylindole (DAPI) staining, and flow cytometry for apoptosis and reactive oxygen species (ROS) levels. The damage degree of RBC-S on vascular endothelial cells was assessed by statistical analysis of damage data among different groups. Since the damage effect reached a plateau at all time points, the 28 d storage group was selected as the representative for further mechanistic studies. Transcriptomic analysis was performed to explore the role of frizzled class receptor 1 (FZD1) and Wnt signaling pathway in red blood cell storagerelated endothelial dysfunction. Results: Compared with the control group, the storage groups treated with 7 d, 14 d, and 28 d RBC-S showed significantly decreased cell proliferation rates [control group 100%, 7 d group (69.51±2.30)%, 14 d group (74.54±2.89)%, 28 d group (73.59±2.36)%, P<0.05], significantly reduced numbers of DAPI-stained cell nuclei [control group (213±12.5) per field, 7 d group (140.33±17.04) per field, 14 d group (152.00±23.72) per field, 28 d group (144.33±19.09) per field, P<0.05] and significantly increased LDH release [control group (1), 7 d group (8.33±1.41), 14 d group (9.23±0.83), 28 d group (9.16±0.60), P<0.05]. There was no significant difference in the degree of damage caused by RBC-S among different storage groups (P>0.05). With the prolongation of storage time, free hemoglobin (FHb) gradually increased [control group (not detected), 7 d (16.57±6.38) mg/L, 14 d (76.80±22.83) mg/L, 28 d (286.97±29.02) mg/L, P<0.05]. The apoptotic rate (20.53±2.94)% and ROS relative intensity (5.13±0.91) in the 28 d storage group were significantly higher than those in the control group (P<0.05). Transcriptomic analysis showed that FZD1 played a key role in vascular endothelial dysfunction induced by red blood cell storage and was closely related to the Wnt signaling regulatory network. Conclusion: RBC-S stored for 7 d, 14 d, or 28 d can all significantly damage vascular endothelial cells, and the damaging effect reaches a plateau at 7 d of storage. Mechanistic investigation of the 28 d group indicated that the downregulation of the FZD1/Wnt signaling pathway may play a critical role in vascular endothelial dysfunction induced by red blood cell storage, providing a theoretical basis for further optimizing red blood cell storage and transfusion strategies.

Postoperative cognitive dysfunction (POCD) is a clinically significant complication in elderly patients, largely driven by surgery-induced neuroinflammation. The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway, a crucial regulator of innate immunity, has been implicated in neuroinflammatory activation. This study investigated whether electroacupuncture (EA) improves POCD by modulating this pathway in aged rats. Aged male Sprague-Dawley rats were subjected to sevoflurane anesthesia and splenectomy to establish a POCD model. Animals were divided into sham, POCD, POCD+EA, and POCD+EA+cGAS inhibitor groups. The EA groups received stimulation at Baihui (Governor Vessel 20 (GV20)), Neiguan (Pericardium 6 (PC6)), and Zusanli (Stomach 36 (ST36)) acupoints. Cognitive function was evaluated using the Morris water maze, while hippocampal expression of cGAS-STING pathway components and downstream effectors—interferon regulatory factor 3 (IRF3), nuclear factor kappa B (NF-κB), and interleukin-1 beta (IL-1β)—was assessed by Western blot. Cellular localization was determined by immunofluorescence staining. Compared with the Sham group, rats in the POCD group showed significant impairments in spatial memory, accompanied by upregulated protein expression of cGAS, STING, NF-κB, IRF3, and IL-1β in the hippocampus. Upon pathway activation, cGAS and STING proteins were predominantly co-localized with neurons, and their fluorescence intensity in the hippocampus was markedly increased. These behavioral deficits and molecular alterations were partially reversed in both the POCD+EA and POCD+EA+inhibitor groups. Electroacupuncture alleviates POCD in aged rats by inhibiting hippocampal cGAS-STING pathway activation and reducing neuroinflammation, suggesting a promising non-pharmacological strategy for POCD management.

Blood transfusion is an important life-support measure in modern medicine. As clinical demand for transfusion continues to rise, blood supply remains under persistent strain, making the efficient utilization of this precious medical resource a critical component of blood management. Accurate prediction of transfusion needs is of great significance for optimizing blood resource allocation and conserving blood products. Traditional transfusion decision-making relies on clinical experience and simplified scoring systems, which are insufficient to meet the demands of precision medicine. Machine learning (ML) technology can integrate multidimensional data—including demographic characteristics, laboratory indicators, surgical information, and dynamic physiological waveforms—to construct high-performance predictive models, offering a new approach to transfusion prediction. This article systematically reviews the application progress of ML in transfusion prediction across clinical scenarios such as trauma, the perioperative period, and obstetrics. In trauma, ML has been applied to early massive transfusion prediction, prehospital transfusion decision-making, and precise prediction in pediatric trauma. In the perioperative field, applications span specialties including traumatic brain injury, orthopedic surgery, cardiovascular and major vascular surgery, and hepatic surgery. In obstetrics, models can effectively predict postpartum hemorrhage and transfusion requirements associated with cesarean section. Studies have shown that algorithms such as random forest, gradient boosting machines, and deep neural networks achieve area under the receiver operating characteristic curve (AUC) values of 0.83-0.98 in massive transfusion prediction, 0.75-0.97 in perioperative scenarios, and 0.80-0.89 in obstetric transfusion prediction—significantly outperforming traditional scoring tools. However, current studies are generally limited by single-center retrospective designs, insufficient external validation, and inadequate reporting standards; limited model interpretability and challenges in clinical integration further constrain practical translation. Future research should focus on constructing multicenter data cohorts, integrating multimodal data, conducting prospective implementation studies, and deeply embedding models within electronic health record systems, thereby advancing the application of ML to optimize clinical transfusion decision-making.

As a major challenge in the global field of critical care medicine, sepsis is associated with high morbidity and mortality, driving intensive research into the development of precise risk prediction models. Among these, machine learning and deep learning-based predictive models have garnered particular attention. This article systematically reviews the evolution of sepsis risk prediction models and the challenges associated with their clinical translation, with a focus on their clinical applicability in common septic complications, including acute kidney injury, encephalopathy, and coagulation disorders. Current evidence indicates that machine learning models, by integrating multidimensional dynamic data from electronic health records, significantly enhance early warning capabilities and individualized predictive performance. However, major bottlenecks limiting clinical translation include insufficient data standardization, lack of model interpretability, and inadequate external validation. Future research should prioritize multicenter collaboration, time-series modeling strategies, and explainable artificial intelligence frameworks to optimize clinical translation pathways and facilitate the paradigm shift from traditional empirical approaches to data-driven precision strategies in sepsis risk stratification.

To address the challenges of fragmented data, inconsistent standards, and delayed feedback in the full-cycle competency development process at teaching hospitals, this paper proposes the LEADS data governance system for Precision Medical Education (LEADS-PME), drawing on the practical experience of building the integrated medical education management platform at Zhongshan Hospital, Fudan University. The LEADS-PME framework comprises five interconnected core components: Longitudinal foundation, Evidence-chain generation, Analytics and profiling, Decision-support and prediction, and Simulation and digital-twin governance. Currently, Zhongshan Hospital has established a full-cycle educational data infrastructure and achieved multi-system data integration and competency-based profiling and evaluation, while the prediction and simulation modules are still in the prototype exploration phase. A mixed-methods evaluation will be subsequently conducted from the perspectives of data quality, management effectiveness, and predictive intervention. As a locally adapted framework, LEADS-PME can transform operational data derived from clinical practice, teaching, assessment, and management processes into traceable, interpretable, and reusable evidence of competency development. It is expected to facilitate the transformation of medical education management from a outcome-oriented approach to process monitoring, evidence-driven decision-making, and precision governance, thereby providing both a theoretical framework and practical reference for precision medical education in Chinese teaching hospitals.

ObjectiveTo investigate the influence of entecavir （ETV） versus tenofovir alafenamide fumarate （TAF） on renal function in previously untreated patients with chronic hepatitis B （CHB）. MethodsA retrospective analysis was performed for the clinical data of 167 previously untreated CHB patients who received ETV or TAF treatment for at least 48 weeks at the outpatient service of Department of Infectious Diseases in The First Affiliated Hospital of Nanchang University from September 2019 to November 2023， and according to the antiviral drug used， they were divided into ETV group with 117 patients and TAF group with 50 patients. In order to balance baseline clinical data， propensity score matching （PSM） was used for matching and analysis at a ratio of 2∶1， and the two groups were compared in terms of estimated glomerular filtration rate （eGFR） and the incidence rate of abnormal renal function at week 48. According to eGFR at week 48， the patients were divided into normal renal function group and abnormal renal function group. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The multivariate Logistic regression analysis was used to investigate the influencing factors for abnormal renal function， and the receiver operating characteristic （ROC） curve was used to assess the performance of each indicator in predicting abnormal renal function. The Kaplan-Meier method was used to analyze the cumulative incidence rate of abnormal renal function， and the log-rank test was used for comparison. The analysis of variance with repeated measures was used to compare the dynamic changes of eGFR during antiviral therapy in CHB patients. ResultsAfter PSM matching， there were 100 patients in the ETV group and 50 patients in the TAF group. There were no significant differences in baseline clinical data between the ETV group and the TAF group （all P>0.05）， with an eGFR level of 112.29±9.92 mL/min/1.73 m² in the ETV group and 114.72±12.15 mL/min/1.73 m² in the TAF group. There was a reduction in eGFR from baseline to week 48 in both groups， and compared with the TAF group at week 48， the ETV group had a significantly lower eGFR （106.42±14.12 mL/min/1.73 m² vs 112.25±13.44 mL/min/1.73 m²， t=-2.422， P=0.017） and a significantly higher incidence rate of abnormal renal function （17.00% vs 4.00%， χ²=5.092， P=0.024）. After the patients were divided into normal renal function group with 131 patients and abnormal renal function group with 19 patients， the univariate analysis showed that there were significant differences between the two groups in age （Z=-2.039， P=0.041）， treatment drug （ETV/TAF） （χ²=5.092， P=0.024）， and baseline eGFR level （t=4.023， P<0.001）， and the multivariate Logistic regression analysis showed that baseline eGFR （odds ratio ［OR］=0.896， 95% confidence interval ［CI］： 0.841 — 0.955， P<0.001） and treatment drug （OR=5.589， 95%CI： 1.136 — 27.492， P=0.034） were independent influencing factors for abnormal renal function. Baseline eGFR had an area under the ROC curve of 0.781 in predicting abnormal renal function in CHB patients， with a cut-off value of 105.24 mL/min/1.73 m²， a sensitivity of 73.68%， and a specificity of 82.44%. The Kaplan-Meier curve analysis showed that the patients with baseline eGFR≤105.24 mL/min/1.73 m² had a significantly higher cumulative incidence rate of abnormal renal function than those with baseline eGFR>105.24 mL/min/1.73 m² （χ²=22.330， P<0.001）， and the ETV group had a significantly higher cumulative incidence rate of abnormal renal function than the TAF group （χ²=4.961， P=0.026）. With the initiation of antiviral therapy， both the ETV group and the TAF group had a significant reduction in eGFR （F=5.259， P<0.001）， but the ETV group only had a significant lower level of eGFR than the TAF group at week 48 （t=-2.422， P=0.017）； both the baseline eGFR≤105.24 mL/min/1.73 m² group and the baseline eGFR>105.24 mL/min/1.73 m² group had a significant reduction in eGFR （F=5.712， P<0.001）， and there was a significant difference in eGFR between the two groups at baseline and weeks 12， 24， 36， and 48 （t=-13.927， -9.780， -8.835， -9.489， and -8.953， all P<0.001）. ConclusionFor CHB patients initially treated with ETV or TAF， ETV antiviral therapy has a higher risk of renal injury than TAF therapy at week 48.

Diabetic retinopathy（DR）， as one of the most common and serious microvascular complications of diabetes mellitus， seriously threatens human health， and belongs to "Xiaoke eye diseases" in traditional Chinese medicine（TCM）， which has been richly experienced by medical practitioners through the ages， but is mostly recorded in a piecemeal manner and has not been systematically researched. This disease is featured by long course and repeated attack， and is refractory， which belongs to the research category of "persistent illness entering collaterals". Systematic establishment of TCM collateral disease theory for guiding prevention and treatment of DR has important clinical value. On the basis of close correlation between tertiary collaterals at the terminal of collaterals and capillaries and microcirculation， the concept of "tertiary collaterals-microvascular" is proposed. It is pointed out that DR falls within the scope of "tertiary collaterals-microvascular" diseases， and presents four types of micro-pathological characteristics， including stasis， insufficiency， growth and bleeding of tertiary collaterals. It is concluded that "deficiency of both Qi and Yin" is the basic pathogenesis of DR， and "blood stasis and collateral obstruction" is the important pathogenesis and key factor. Thus， the treatment method of "dispersing blood stasis， dredging collateral， tonifying Qi and Yin， stopping hemorrhage and improving eyesight" is determined， and the formula of Tongluo Mingmu capsules is developed. The article tightly focuses on the pathological changes such as stasis， growth， insufficiency and bleeding of collaterals， addresses both symptoms and root causes， and plays a synergistic role of both dispersing stasis and stopping bleeding. In this way， it can realize the purpose of tonifying Qi and Yin to replenish the essence， dispersing stasis and dredging collaterals to meet the requirement， as well as stopping hemorrhage and improving eyesight to deal with changes. Fundamental researches demonstrate that Tongluo Mingmu capsules has synergy effects of protecting both retinal capillaries and retinal cells. Phase-Ⅲ clinical trial of new drug has proven definite clinical efficacy and good safety， which provides a new drug choice for enhancing clinical effect of DR， and further supports the scientific value of Luobing theory in preventing and treating DR and other clinically significant diseases.

Objective: To analyze the frequency and investigate the causes of unexpected antibodies in D-negative blood donors. Methods: From January 2022 to December 2024, 3 768 D-negative blood donors sent to our laboratory were selected as research subjects. D-negative confirmation test and RhCE phenotype detection were applied by saline tube method and microcolumn gel indirect antiglobulin test (IAT), respectively. Antibody screening and identification were performed using the polybrene method and IAT column agglutination methods. Anti-D, anti-C and anti-G specificities were identified by a two-step adsorption-elution method, and the genotypes of D-negative samples were determined by RHD gene amplification, Sanger sequencing, and PacBio Single Molecule Real-Time (SMRT) sequencing. Results: Among D-negative donors, ccee and Ccee phenotypes accounted for the highest proportion, 55.68% (2 098/3 768) and 29.56% (1 114/3 768), respectively, while CcEE and CCEe phenotypes were the least, with one case detected in each, accounting for 0.03% (1/3 768). A total of 165 cases with D variant phenotype were detected, and the proportion of D variant was 4.38% (165/3 768) in the donors detected by D-negative confirmation test. Antibody screening positive blood donors were identified in 93 cases with a proportion of 2.47% (93/3 768). Antibody specificity was determined in 84 blood donors, and 9 samples showed no clear specificity. Anti-D was detected most frequently (n=68), in which 6 of them were detected having multiple antibodies, anti-D + anti-C (n=2), anti-D + anti-G(n=1), and anti-D + anti-E(n=3). The other antibodies detected were anti-E (n=1), anti-M(n=9), anti-P1 (n=3), anti-Le (n=1), and anti-HI(n=2). Fourteen cases were detected with anti-D in serological D-negative donors with C+ or E+ phenotype, in which three of them were DVI type 3 individuals and 11 cases were D negative individuals. Conclusion: The incidence of unexpected antibodies was higher in D-negative blood donors than in the total donors, with anti-D being the most common. The data provide insights for prevention and monitoring hemolytic disease of the fetus and newborn (HDFN) caused by anti-D. To ensure the safety of blood transfusion, routine unexpected antibody screening for RhD-negative blood donors is recommended to prevent the use of unexpected antibodies positive plasma in the clinic.

Objective:To investigate the expression of protein kinase D2(PRKD2)in bladder cancer(BLCA)tissue using bioinformatics analysis method and its effect on the prognosis of BLCA patients,and to clarify the role of PRKD2 in the occurrence and development of BLCA.Methods:The data from 9 normal bladder samples,19 BLCA paracancerous samples,and 407 BLCA tumor samples were downloaded from the UCSC Cancer Genome Database.The Mann-Whitney U test was applied to analyze the difference in expression of PRKD2 mRNA in BLCA tumor and normal bladder tissues,and the Human Protein Atlas(HPA)database was used for proteomic validation.DESeq2 package in R software was applied to screen the differentially expressed genes(DEGs)in BLCA tissue in PRKD2 low-and high-expression groups.The co-expression heatmaps of PRKD2 were plotted using the ggplot2 package,Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used for functional annotation analysis and pathway enrichment analysis of DEGs,and Gene Set Enrichment Analysis(GSEA)was used to obtain the gene sets that were significantly enriched for DEGs.The BLCA samples were divided into low-and high-expression groups according to the expression level of PRKD2,and the correlations between PRKD2 expression and immune cell infiltration in the BLCA patients were analyzed with GSVA package.The relationship between PRKD2 and prognosis of BLCA patients was further analyzed using the survival package and the survminer package.The PRKD2 gene mutations in BLCA tissue were analyzed using the cBioPortal database.The cystitis,bladder polyp and BLCA tissues were collected,and the expression levels of interleukin-17F(IL-17F)protein in BLCA and control tissues were detected using immunohistochemical staining technique.Results:PRKD2 was highly expressed in a variety of malignant tumors,and the expression levels of PRKD2 mRNA and protein in BLCA tissue were significantly increased compared with those in normal bladder tissue(P＜0.05).Single gene differential analysis of PRKD2 yielded a total of 1 058 DEGs,of which a total of 29 genes were up-regulated and 1 029 were down-regulated.The results of GO functional enrichment analysis showed that DEGs were mainly enriched in the biological process(BP),such as chemical stimuli involved in sensory perception,Cajal body,and endopeptidase inhibitor activity.The results of KEGG pathway analysis showed that DEGs were mainly enriched in the pathway of Staphylococcus aureus infection and the pathway of maturity onset diabetes of the young.GSEA analysis showed that DEGs were mainly enriched in the Notch signaling pathway,the retinoic acid-inducible gene-Ⅰ(RIG-Ⅰ)-like receptor signaling pathway,the cytoplasmic DNA screening pathway,the base excision repair signaling pathway,natural killer(NK)cell-mediated cytotoxicity signaling pathway and T cell receptor signaling pathway.The results of immune infiltration analysis indicated that the expression of PRKD2 was positively correlated with five types of cells,such as activated dendritic cells(aDC),NK CD56dim cells and central memory T cells(Tcm)(P＜0.05),and negatively correlated with three types of immune cells,including macrophages,effector memory T cells(Tem)and plasmacytoid dendritic cells(pDC)(P＜0.05).The clinical characteristic subgroup analysis results showed that the expression levels of PRKD2 mRNA in BLCA patients who were over 70 years old and developed lymphovascular invasion were decreased(P＜0.05);the overall survival(OS),disease-specific survival(DSS)and progression-free interval(PFI)in the BLCA patients with PRKD2 high expression were significantly longer than those with PRKD2 low expression(P＜0.05).The univariate and multivariate Cox analyses indicated that distant metastasis,primary therapy outcome and clinicopathologic stage were the important factors affecting BLCA prognosis.About 9％patients had PRKD2 gene mutations,including missense mutation,gene amplification,mRNA low or high expression,and multi-motif mutation.The immunohistochemistry results showed that the expression level of IL-17F protein in BLCA tissue was significantly higher than that in cystitis tissue(P＜0.05).Conclusion:The expression level of PRKD2 in BLCA tissue is obviously increased,which could up-regulate the expression of IL-17F protein,and the decrease of PRKD2 protein expression may be a potential factor for the poor prognosis of BLCA patients.