BackgroundAnxiety disorder is a common mental disorder， with its prevalence showing a continuous upward trend， significantly affecting the quality of life and social function of patients. Due to the lack of objective and reliable biomarkers in clinical practice， the early identification and treatment of anxiety disorder have been somewhat limited. Plasma proteins have the potential to serve as biomarkers for mental diseases， however， the causal relationship between them and anxiety disorder remains unclear. ObjectiveTo identify the plasma proteins that have a causal relationship with anxiety disorders， and to elucidate the associated biological pathways， in order to provide references for the search for biomarkers of anxiety disorders and the exploration of potential therapeutic targets. MethodsBased on the protein quantitative trait locus （pQTL） data of 4 907 plasma proteins covering 35 559 Icelandic individuals from the deCODE database， and the genome-wide association studies （GWAS） data of 50 486 patients with anxiety disorders and 330 460 healthy controls， the inverse-variance weighted （IVW） method was used as the main analysis method， supplemented by MR-Egger method， weighted median method， simple model method， and weighted model method for bidirectional Mendelian randomization analysis. Enrichment analysis of gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways was conducted for the related proteins. Sensitivity analysis was performed using Cochran's Q test， MR-Egger intercept test， MR-PRESSO test， and leave-one-out analysis to evaluate the robustness of the results. ResultsA total of 10 plasma proteins were identified as significantly associated with anxiety disorders. Among these， SPATA9 （OR=0.856， 95% CI： 0.784–0.934， P<0.01） and PDE5A （OR=0.911， 95% CI： 0.864–0.961， P<0.01） were identified as protective factors， while CRYGD （OR=1.209， 95% CI： 1.095–1.334， P<0.01）， BTN3A3 （OR=1.045， 95% CI： 1.018–1.073， P<0.01）， SERPINB13 （OR=1.102， 95% CI： 1.040–1.168， P<0.01）， ERBB4 （OR=1.283， 95% CI： 1.109–1.484， P<0.01）， LSAMP （OR=1.096， 95% CI： 1.037–1.158， P<0.01）， ICOSLG （OR=1.283， 95% CI： 1.104–1.490， P<0.01）， DNAJB11 （OR=1.172， 95% CI： 1.076–1.277， P<0.01）， and TREML1 （OR=1.115， 95% CI： 1.054–1.179， P<0.01） were identified as risk factors. The sensitivity analysis showed that the results were robust， with no heterogeneity （Cochran's Q test P>0.05） or pleiotropy （MR-Egger intercept test P>0.05）. Enrichment analysis indicated that these plasma proteins were enriched in biological processes such as T-cell signal transduction， lymphocyte proliferation， cell membrane structure and synaptic function， as well as the intestinal immune network that produces IgA and the ErbB signaling pathway. ConclusionThis study identified 10 plasma proteins associated with anxiety disorders. The functions of these plasma proteins involve multiple biological processes such as neural development and immune regulation.

Hepatobiliary and pancreatic tumors are common types of digestive system disorders， and their complex pathogeneses have led to difficulties in early diagnosis and a high metastasis rate， with persistently high incidence and mortality rates in China， which greatly affects the quality of life and prognosis of patients. Studies have shown that heparanase （HPSE）， as a key effector molecule in matrix remodeling， plays a crucial regulatory role in tumor invasion and metastasis and microenvironment remodeling， and it is significantly associated with clinical prognosis. This article reviews the molecular mechanism of HPSE in hepatobiliary and pancreatic tumors， in order to provide a strong scientific basis for developing diagnostic markers and targeted interventions for hepatobiliary and pancreatic tumors.

Objective:To analyze the epidemiological, etiological and genetic characteristics of influenza virus in Shandong Province during 2023-2024.Methods:The surveillance data of influenza-like illness (ILI) in sentinel hospitals in Shandong from 2023 to 2024 were collected and analyzed. The isolated influenza strains with hemagglutination titers ≥8 were selected for antigenicity analysis, drug susceptibility test, gene sequencing and evolutionary analysis.Results:From 2023 to 2024, the positive rate of influenza virus in Shandong was 8.51% (23 663/277 995), the highest positive rate was in the age group of 5-14 years (15.78%, 6 073/38 478), and the highest positive rate was in the 49 th week (35.86%, 2 264/6 313). Both antigenicity analysis and evolutionary analysis showed that the A(H1N1)pdm09 subtype and B(Victoria) strain had good matching effect and close evolutionary distance with the 2023-2024 surveillance year vaccine strain. The A(H3N2) subtype strain did not have a high matching effect with the 2023-2024 vaccine strain and had a long evolutionary distance, but had a close evolutionary distance with the 2024-2025 vaccine strain. Drug susceptibility test showed that oseltamivir sensitivity of influenza A(H1N1)pdm09 strain decreased greatly, and the amino acid site mutation of neuraminidase was H275Y. Conclusions:In the 2023-2024 surveillance year, the peak of influenza virus epidemic in Shandong was mainly occurred in winter and spring, and the age group of 5-14 years was the focus of prevention and control. The dominant strain was subtype A(H3N2), which had poor matching effect with the vaccine strain in the 2023-2024 surveillance year. One A(H1N1)pdm09 resistant strain was found in the drug resistance monitoring work. Follow-up prevention and control work should be strengthen the surveillance for the epidemiological characteristics, genetic variation and drug resistance of influenza viruses, timely understand the epidemic trend and mutation of influenza viruses, timely discover drug-resistant strains of influenza viruses, promote influenza vaccination, and improve of influenza prevention and control.

Abnormal amino acid metabolism promotes tumor progression by inducing malignant behaviors in tumor cells and altering the immune landscape within the tumor microenvironment. However, the underlying mechanisms remain unclear. In this study, we constructed colorectal cancer (CRC) organoids and patient-derived tumor xenograft (PDX) models, performing multifaceted validation to confirm that T-complex protein 1 subunit epsilon (CCT5), mediates the biosynthesis of aspartate and enhances sensitivity to anti-PD-L1 immunotherapy. Mechanistically, CCT5 directly binds to asparagine synthetase (ASNS) and promotes the synthesis of aspartate (Asn). The Asn-mTORC1 axis facilitates tumor cell proliferation while upregulating PD-L1 expression, which leads to a reduction in the number of effector CD8⁺ T cells. Treatment with l-asparaginase (ASNase) combined with anti-PD-L1 therapy effectively reverses the growth of CRC characterized by high CCT5 expression. In summary, we identify CCT5 as a potential biomarker to guide the combined use of ASNase and anti-PD-L1 antibodies in CRC treatment.

Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety. While various models have shown promising results in predicting ADRs, their accuracy still needs improvement. Additionally, many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints, which can introduce bias. To address these challenges, we propose ToxBERT, an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system (SMILES) representations. Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve (AUROC) scores of 0.839, 0.759, and 0.664 for predicting drug-induced QT prolongation (DIQT), rhabdomyolysis, and liver injury, respectively, outperforming previous studies. Furthermore, ToxBERT can identify drug substructures that are closely associated with specific ADRs. These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.

[Objective]To evaluate the application of prostate-specific membrane antigen(PSMA)PET/CT in prostate biopsy screening,and propose effective strategies for prostate biopsy decision making based on PSMA PET/CT detection.[Methods]A retrospective analysis was conducted on PSMA PET/CT imaging and clinical pathological data from 155 patients with suspected prostate cancer between January 2020 and December 2023.PRIMARY score was used as the standardized evaluation method for PSMA PET/CT in the diagnosis of prostate cancer.And compared the positive prostate biopsy rates,missed diagnosis rates and biopsy reduction rates were compared regarding different PRIMARY scores.Receiver operating characteristic(ROC)curves were used to analyze prostate-specific antigen(PSA)and its derived parameters and identify the most suitable supplementary screening indicators for combined use with the PRIMARY score.[Results]Among patients with PRIMARY scores of 1 to 5,the proportions of patients diagnosed with prostate cancer were 15.8%(3/19),17.1%(7/41),50%(12/24),95.2%(20/21)and 98%(49/50),respectively.Using PRIMARY score of 3-5 as the biopsy screening strategy resulted in a positive prostate biopsy rate of 85.3%and biopsy reduction rate of 38.7%,but a missed diagnosis rate of 11%.PSA density>0.15 ng/(mL·cm3)was selected as a supplementary screening criterion to detect prostate cancer from patients with PRIMARY scores of 1-2.The combined application of the above two screening criteria reduced the missed diagnosis rate to 2.2%.[Conclusion]This study proposes a novel biopsy screening strategy for suspected prostate cancer patients using PSMA PET/CT,that is,a PRIMARY score of 3-5 or a PRIMARY score of 1-2 but PSA density>0.15 ng/(mL·cm3),which can effectively avoid unnecessary biopsies and significantly reduce the missed diagnosis rate.

This study investigated the epidemic status of H3N2 influenza virus and the genetic evolution characteristics of hemagglutinin(HA)and neuraminidase(NA)of H3N2 subtype influenza viruses isolated in Shandong Province during 2023-2024,to understand their compatibility with vaccine strains and drug resistance status.A total of 25 H3N2 subtype influenza virus strains were randomly selected from the strains isolated by the influenza surveillance network laboratory.The HA and NA genes were sequenced with the vaccine strains recommended by the WHO as a reference.Monitoring of sensitivity to oseltamivir and zanamivir was conducted through neuraminidase inhibition experiments.The H3N2 influenza viruses in Shandong Province belonged to the 3C.2a1b.2a.2a.3a.1 clade.Nucleotide sequence analysis revealed that the HA1 and NA genes were closely related to the WHO-recommended vaccine strain A/Darwin/9/2021 for the current season,with homology rates of 97.8%-98.2%and 98.9%-99.3%,respectively.Amino acid sequence analysis indicated 22 amino acid sequence variations in the HA1 protein,and antigenic drift was detected in 8 strains.A glycosylation site was added at position 94 of the HA protein in all 25 strains.Variations occurred in the NA antigenic determinants of some strains.Neuraminidase inhibition experiments indicated that all tested influenza viruses were sensitive to oseltamivir and zanamivir.Some differences in HA and NA proteins were observed between the monitored strains and vaccine strains.Continued monitoring of the molecular evolution characteristics of influenza viruses is necessary to understand the risk of influenza outbreaks,and their effects on the effectiveness of influenza vaccines and therapeutic drugs.

Cyclic neutropenia (CN) is relatively rare in clinical practice, and cases complicate with intestinal fistula have not been reported yet. This article reports a 45 year old female patient with CN and intestinal fistula, hoping to improve clinical experience in the diagnosis and treatment of such diseases.

According the Good Clinical Practice(GCP)and programmatic requirements,we analyze the management characteristics and the costs of drugs for clinical trials in different specialties from the drug management;The characteristics of the management of drugs for different specialties was summarize and the differential factors that may affect the management cost was explored,so as to provide theoretical support for the research institutions to utilize the resources in a rational and efficient way.This article provides a guarantee for the drug management with the aim of enhancing the quality and efficiency of clinical trials.

Objective:To investigate the relationship between empathy and meaning in life among medical students,and explore the mediating role of altruistic behavior.Methods:A total of 581 medical students were recrui-ted.They were assessed with the Interpersonal Reactivity Index-C(IRI-C),Altruistic Behavior Questionnaire of College Students(ABQ-CS),and Quadripartite Existential Meaning Scale(QEMS).The bootstrap method was used to test the hypothesized mediating effect.Results:The scores of IRI-C were positively correlated with the scores of ABQ-CS and QEMS(r=0.45,0.21,Ps＜0.001).The scores of ABQ-CS were positively correlated with the QEMS scores(r=0.46,P＜0.001).Altruism was a complete mediator between empathy and meaning in life,the indirect effect was 0.20(95％CI:0.15-0.26).Conclusion:This study reveals the underlying connections a-mong altruistic behavior,empathy,and meaning in life among medical students,suggesting that interventions targe-ting empathy and altruistic behavior may enhance their meaning in life.