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.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

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.

Purpose To investigate the relationship between SERPINA4 expression and clinicopathological fea-tures and prognosis in metastatic colorectal cancer(CRC).Methods EnVision two-step immunohistochemical method was used to detect the expression of SERPINA4 protein in 104 cases of primary and metastatic tumor paraffin tissues of metastatic colorectal cancer and adjacent intestinal normal mucosa,and its relationship with clinicopathological features of patients was analyzed.qRT-PCR was used to detect the expression of SERPINA4 mRNA in 11 pairs of metastatic CRC metastases and paired primary tumor paraffin-embedded tissue samples.The survival of patients was followed up,and the relationship between SERPINA4 expression and patient prognosis was analyzed by Kaplan-Meier method.Re-sults Immunohistochemical results showed that the strong positive expression rate of SERPINA4 was 97.10％in nor-mal mucosa,71.20％in primary lesions,and 39.40％in metastatic lesions.The difference between the three groups was statistically significant(P＜0.001).qRT-PCR results showed that SERPINA4 mRNA was lowly expressed in me-tastatic lesions of metastatic CRC(P＜0.05).The expression of SERPINA4 in metastatic lesions was significantly cor-related with histological grade,N stage and M stage of the tumor(P＜0.05),but not significantly correlated with age,gender,tumor location and T stage of patients(P＞0.05).The survival time of patients with metastatic colorectal cancer with high expression of SERPINA4 was longer than that of patients with low expression.Conclusion The ex-pression of SERPINA4 is of great significance in the survival and prognosis of patients with metastatic CRC.

Objective:With the help of the advanced ACD Labs/AutoChrom method development software,param-eter simulation design was carried out.Based on the results of software simulation and actual investigation,an HPLC method for the determination of related impurities in safinamide mesylate raw material drug was established.Methods:A Waters Atlantis T3 column(4.6 mm ×250 mm,5 μm)was used.The phosphate buffer with a pH of 7.0 was used as mobile phase A,and acetonitrile was used as mobile phase B.Gradient elution was performed at a flow rate of 1.3 mL·min-1,the detection wavelength was 228 nm,the column temperature was 35 ℃,and the injection volume was 10 μL.Results:Impurities 1-12 in safinamide mesylate could be effectively separated from the main component.The linear ranges were 0.102 1-5.329,0.102 9-5.379 7,0.106 8-4.972 9,0.102 1-5.135,0.103 8-5.314 7,0.097 7-4.869 8,0.095 2-4.760 5,0.095 3-5.109 5,0.050 5-5.287 5,0.098 7-4.885 6,0.102 4-4.997 5,0.050 8-5.134 7 μg·mL-1,respectively.The limits of detection(LOD)were 0.051,0.051 4,0.053 4,0.051 1,0.051 9,0.048 8,0.047 6,0.047 7,0.025 3,0.049 3,0.051 2,0.025 4 μg·mL-1,and the limits of quantification(LOQ)were 0.102 1,0.102 9,0.106 8,0.102 1,0.103 8,0.097 7,0.095 2,0.095 3,0.050 5,0.098 7,0.102 4,0.050 8 μg·mL-1.The accuracy,preci-sion and durability all met the requirements.Conclusion:This method is suitable for the determination and quality control of the related substances of 12 impurities in safinamide mesylate raw materials.

Objective:To investigate the impact of the number of examined lymph nodes (ELN) on survival outcomes in gastric cancer patients with postoperative pathological stage pN3b.Methods:This retrospective cohort study included 279 pN3b gastric cancer patients who underwent D2 gastrectomy at Nanfang Hospital, Southern Medical University (September 2008 to April 2023), with 35 patients receiving combination chemotherapy and anti-PD-1 therapy (immunotherapy group) and 244 receiving adjuvant chemotherapy alone (nonimmunotherapy group). Additionally, 422 patients with pN3b from the SEER database (2005 to 2020) were collected as an external validation cohort to determine the optimal cutoff value for the number of lymph nodes examined in the nonimmunotherapy group. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) in the nonimmunotherapy group of the Nanfang Hospital cohort, stratified by whether the number of examined lymph nodes was above or below the ELN optimal cutoff value. These findings were subsequently validated in the SEER cohort.Results:The optimal ELN cutoff value (34 nodes) was determined using X-tile software and by constructing an ELN-HR fitting model with inflection point identification. In the nonimmunotherapy group, patients with ELN >34 exhibited significantly prolonged survival compared to ELN ≤34 (median OS: 25.0 (95%CI:20.5-29.5) to 17.0 (95%CI:12.7-21.3) months, P=0.004; median RFS: 19.0 (95%CI:15.6-22.4) to 13.0 (95%CI:9.5-16.5) months, P=0.048). Multivariate Cox analysis also showed ELN >34 to be an independent protective factor for both OS (HR=0.576, 95%CI: 0.397-0.836) and RFS (HR=0.701, 95%CI: 0.492-0.998). In the SEER cohort, ELN >34 was associated with a 5-month OS extension (19 to 14 months, P=0.065), with multivariate analysis supporting its independent prognostic significance (HR=0.729, 95%CI: 0.580-0.915, P=0.006). Notably, in the immunotherapy group, patients with ELN >34 ( n=30) achieved a median OS of 41 months, but the median OS had not been reached in the ELN ≤34 group ( n=5) (1 death at 48 months). Conclusion:Higher ELN (>34) correlates with improved survival in nonimmunotherapy-treated pN3b gastric cancer patients. However, in pN3b gastric cancer patients treated with immunotherapy, the optimal ELN threshold requires further exploration to determine.

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.