Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

OBJECTIVE To explore the antidepressant mechanism of Wenyang jieyu granules （WYJYG） via the NOD-like receptor thermal protein domain associated protein 3 （NLRP3）/apoptosis-associated speck-like protein containing a CARD （ASC）/Caspase-1 pathway. METHODS A rat model of depression was established by chronic unpredictable mild stress combined with single-housing for 42 consecutive days.The experiment set up blank group， model group， MCC950 （NLRP3 inflammasome inhibitor） group （10 mg/kg）， fluoxetine group （positive control，2.08 mg/kg），low-dose WYJYG（3.78 g/kg） and high-dose WYJYG group （7.56 g/kg），with 10 rats in each group. From the 22nd day of the experiment， rats in the fluoxetine group， low-dose and high-dose WYJYG groups were intragastrically administered with the corresponding drugs and intraperitoneally injected with an equal volume of normal saline. Rats in the MCC950 group were intraperitoneally injected with MCC950 at the corresponding concentration and intragastrically administered with an equal volume of distilled water. Rats in the blank group and model group were given an equal volume of distilled water by gavage and an equal volume of normal saline by intraperitoneal injection. All interventions were performed once a day for 21 consecutive days. Behavioral tests were conducted once a week. After the last administration， the contents of ASC， ionized calcium binding adaptor molecule 1 （Iba1）， interleukin-1β （IL-1β）， and IL-18 in hippocampal tissues were detected. The protein expressions of NLRP3， cluster of differentiation 68 （CD68）， Caspase-1， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein were determined， and neuronal apoptosis was observed. RESULTS After the last administration， compared with the model group， the open-field activity time was significantly prolonged （ P ＜0.05）， and the latency to feed in a novel environment was significantly shortened （ P ＜0.05） in rats of the high-dose WYJYG group. In hippocampal tissue， the contents of ASC， Iba1， IL-1β， and IL-18， as well as the protein expression levels of NLRP3， Caspase-1， and CD68， and the positive rate of neuronal apoptosis were all significantly decreased/downregulated （ P ＜0.05）. Bcl-2 protein expression was significantly upregulated （ P ＜0.05）， and the density of neuronal apoptosis-positive cells was significantly reduced （ P ＜0.05）. CONCLUSIONS WYJYG play on antidepressant role by inhibiting the NLRP3/ASC/Caspase-1 pathway， reducing microglia-mediated neuroinflammation， and inhibiting hippocampal neurons apoptosis.

Objective To analyze the proportion and clinicopathological characteristics of HER2-positive breast cancer patients with BRCA1/2 pathogenic variants, and their response to neoadjuvant anti-HER2 targeted therapy. Methods The clinicopathological data of 531 breast cancer patients with germline BRCA1/2 pathogenic variants (201 with BRCA1 variants and 330 with BRCA2 variants) were analyzed. Results Among the 201 BRCA1 and 330 BRCA2 variants, 17 (8.5%) and 42 (12.7%) HER2-positive breast cancer cases were identified, respectively, accounting for 11.1% of all BRCA1/2-mutated breast cancers. Compared with BRCA1/2-mutated HR-positive/HER2-negative patients, HER2-positive patients did not present any significant differences in clinicopathological features; however, compared with triple-negative breast cancer patients, HER2-positive patients had a later onset age and lower tumor grade. Among the 17 patients who received neoadjuvant anti-HER2 targeted therapy, 10 cases achieved pCR (58.8%), whereas 7 cases did not (41.2%). Conclusion HER2-positive breast cancer accounts for more than 10% of BRCA1/2-mutated patients. Approximately 40% of these patients fail to achieve pCR after neoadjuvant targeted therapy. This phenomenon highlights the possibility of combining anti-HER2 targeted agents with poly (adenosine diphosphate-ribose) polymerase inhibitors.

Objective:To describe the current status and changes of multisymptom burden during the post-transplant hematopoietic reconstruction period in children with hematopoietic stem cell transplantation, and to provide reference for the precise management of symptoms in post-transplantation children.Methods:Children aged 7-18 years who underwent hematopoietic stem cell transplantation in Shanghai Children′s Medical Centre, Shanghai Jiao Tong University School of Medicine from September 2022 to October 2023 were selected by convenience sampling method. The Pediatric Patient Reported Outcomes version of Common Terminology Criteria for Adverse Events was used to assess multiple symptoms and burden during the reconstruction period on days 0, 7, 14, and 21 after transplantation.Results:Finally, 90 children who underwent hematopoietic stem cell transplantation were investigated, including 61 males and 29 females, aged (9.98 ± 2.96) years old. On days 0, 7, 14, and 21 after transplantation, the number of symptoms, severity of symptoms, degree of symptom interference were 20.00 (14.00), 18.00 (14.50), and 10.00 (9.75), with scores of 0.18 (0.30), 0.14 (0.29), 0.08 (0.13), 0.00 (0.08), and 0.27 (0.42), 0.19 (0.30), 0.09 (0.16), 0.03 (0.11), respectively. The overall differences were statistically significant ( Z=101.69, 93.70, 96.65, all P<0.01). The symptom burden in children showed four different trajectories including higher symptom burden in the early stages and lower in the later stages, consistently high burden, high symptom burden followed by low symptom burden, and consistently low burden. Conclusions:Children after hematopoietic stem cell transplantation are plagued by multiple symptoms during hematopoietic reconstruction, and with the treatment and time, different symptoms show different trajectories of change. Healthcare professionals should accurately assess the symptomatic changes of children after transplantation and provide targeted interventions to reduce the symptomatic burden and promote the recovery of children.

Objective:To analyze the current status, hotspots, and trends of community integration (CI) at home and abroad, providing directions for subsequent research.Methods:The China National Knowledge Infrastructure and the Web of Science Core Collection data were used, and CiteSpace software was employed to analyze the publication, countries, disciplines, and keywords of CI.Results:A total of 932 Chinese and 2 319 English hits were included. The publication of CI had shown an increasing trend both domestically and internationally. Sociology and rehabilitation were the main disciplines in CI domestically and internationally, respectively. Domestically, CI research primarily focused on the community integration of migrant workers, floating populations, and accompanying family members. Internationally, the emphasis was on the integration of individuals with disabilities and other special groups. Future research directions in China were likely to focus on group work, the elderly, and relocated populations. Internationally, CI research would continue to concentrate on CI experiences and intervention methods for individuals with disabilities and special populations.Conclusion:CI is increasingly gaining attention both domestically and internationally. However, domestic research remains insufficient and needs to be expanded through more empirical studies in various vertical subfields. Future domestic scholars should continue to focus on CI of the elderly and engage in interdisciplinary research.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

Objective:To establish a high-performance liquid chromatography(HPLC)method for the determina-tion of related substances in buprenorphine active pharmaceutical ingredient(API)using advanced ACD/Auto-Chrom method development software for comprehensive parameter simulation and design.Methods:An Agilent ZORBAX Eclipse Plus C18 column(4.6 mm × 150 mm,3.5 μm)was used with a mobile phase consisting of 40 mmol·L-1 potassium dihydrogen phosphate solution and acetonitrile in a gradient elution mode.The flow rate was set at 1.3 mL·min-1,the column temperature was maintained at 35 ℃,the detection wavelength was 240 nm,and the injection volume was 5 μL.Results:The impurities A,B,D,E,F,G,H,I,and J in buprenorphine were effectively separated from the main component.The linear ranges were 0.33-83.73,0.20-78.74,0.20-40.28,0.22-43.31,0.32-78.98,0.13-63.74,0.51-101.54,0.22-43.72,and 0.40-80.37 μg·mL-1,respectively.The limits of detection(LOD)were 0.10,0.06,0.06,0.06,0.09,0.04,0.15,0.07,and 0.12 μg·mL-1,respectively,while the limits of quantification(LOQ)were 0.33,0.20,0.20,0.22,0.32,0.13,0.51,0.22,and 0.40 μg·mL-1,respectively.The accuracy,precision,and robustness of the method met the required standards.Conclusion:This method is suitable for the determi-nation and quality control of related substances such as impurities A,B,D,E,F,G,H,I,and J in buprenorphine API.

Objective To identify clinicopathological parameters that differentiate between very high-risk and ordinary high-risk gas-trointestinal stromal tumors(GISTs)to provide guidance for clinical treatment and follow-up monitoring.Methods A retrospective cohort study was conducted,collecting 174 cases of high-risk GISTs initially diagnosed and surgically resected at Tianjin Medical University Cancer Institute and Hospital between January 1st,2011,and December 31st,2019.Based on long-term follow-up data,the X-tile software was used to identify key parameters for screening very high-risk GISTs from ordinary high-risk GISTs,and the results were validated by using high-risk GIST cases from the cBioPortal database.Results Among the 174 high-risk GIST cases,the X-tile software indicat-ed that the maximum tumor diameter of 14 cm,the mitotic count of 14/5 mm2,and the Ki-67 proliferation index of 10%were the optimal cutoff values for distinguishing very high-risk GISTs from ordinary high-risk GISTs.Univariate survival analysis confirmed that these cutoff values were associated with progression free survival(PFS,all P<0.05).Multivariate survival analysis confirmed that the maximum tumor diameter≥14 cm(HR=5.727,P<0.01),mitotic count≥14/5 mm2(HR=2.454,P=0.047),and Ki-67 proliferation index≥10%(HR=2.275,P=0.047)were independent risk factors for tumor progression in high-risk GIST patients.High-risk GISTs with any one of the three parameters more than or equal to its optimal cutoff value were defined as very high-risk GISTs,and the other GISTs were defined as ordinary high-risk GISTs.Compared to very high-risk GIST patients,the ordinary high-risk GIST patients had superior PFS(P<0.01),and a trend toward better overall survival(OS,P=0.082).Stratified analysis showed that,in subgroups of patients with gastric or non-gas-tric primary tumors,those receiving or not receiving adjuvant therapy,and those with KIT proto-oncogene,receptor tyrosine kinase(KIT)gene mutations,ordinary high-risk GIST patients all exhibited superior PFS compared to very high-risk GIST patients(all P<0.05).Both PFS and OS of ordinary high-risk GIST patients in the cBioPortal database were better than those of very high-risk GIST patients(both P=0.001).Stratified analysis of the cBioPortal database data showed that,in subgroups of patients with gastric or non-gastric primary tu-mors,those who received adjuvant therapy,and those with KIT gene mutations,ordinary high-risk GIST patients all exhibited superior PFS compared to very high-risk GIST patients(all P<0.05);conversely,among patients who did not receive adjuvant therapy,very high-risk GIST patients showed a trend toward poorer PFS(P=0.366).Conclusions This study has established a method utilizing commonly used clinical parameters to distinguish very high-risk GISTs in clinical practice.However,further validation through multicenter studies with larger sample sizes is still required.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.