Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

To investigate the clinical features and peripheral blood immune cell subsets ofelderly (≥60 years old) onset rheumatoid arthritis (EORA) patients.

Objective To investigate the inhibitory effect of erianin on T cell proliferation and its underlying mechanism.Methods Peripheral blood mononuclear cells(PBMCs)were isolated using density gradient centrifugation,and T cells were purified by magnetic-activated cell sorting(MACS)with immunomagnetic beads,followed by being activated with anti-human CD3 antibodies and anti-human CD28 antibodies.The activated T cells were labeled with carboxyfluorescein succinimidyl ester(CFSE),and the effects of erianin(0.05～0.20 μmol/L)on the proliferation,apoptosis,expression of activation marker cluster of differentiation 25(CD25),cell cycle distribution of activated T cells,as well as the survival rate of resting T cells were assessed using flow cytometry.Enzyme-linked immunosorbent assay(ELISA)was applied to determine the secretion levels of IL-2 and IL-17 in the culture supernatant of erianin-treated activated T cells.Western blotting was employed to examine the impact of erianin on the protein expression of cell division cycle protein 2(CDC2),phosphorylated CDC2(p-CDC2),and Cyclin B1.The differences were observed between the erianin-treated group and the positive control group(activation with CD3/CD28 antibodies).Results CFSE proliferation assay demonstrated that the proliferative rate of activated T cells was in a concentration-dependent decline after 0.05～0.20 μmol/L erianin treatment(P<0.0001),with a half-maximal inhibitory concentration(IC50)of 0.09±0.10 μmol/L.No significant differences were observed in apoptotic rates or survival rates among the erianin-treated groups(activated and resting T cells)and the positive control cells.Analysis of T cell activation markers revealed that erianin had no impact on CD25 expression or IL-2 secretion.However,ELISA results indicated erianin exerted a significant suppression on the secretion of pro-inflammatory cytokine IL-17(P<0.0001).Cell cycle analysis showed that erianin arrested activated T cells at the G2/M phase(P<0.05).Further mechanistic investigations demonstrated that while erianin did not alter CDC2 phosphorylation or total CDC2 expression,but it markedly down-regulated CyclinB1 expression(P<0.01).Conclusion Erianin exhibits potent immunomodulatory activity by suppressing activated T cell proliferation through down-regulating Cyclin B1.

Objective To develop and validate a risk prediction model for infiltration/extravasation in peripheral intravenous catheter therapy.Methods This retrospective study analyzed 942 patients who completed the Infiltration/Extravasation Risk Assessment Form between January and June 2023 at the First Affiliated Hospital of Army Medical University(including Departments of Neurology,Endocrinology,Gastroenterology and Hepatobiliary Surgery).Patients were allocated to a derivation cohort(n=628)and validation cohort(n=314)in a 2∶1 ratio based on catheterization chronology.The derivation cohort served for model development and internal validation,while the validation cohort underwent external validation.Logistic scoring method constructed the risk model,with Hosmer-Lemeshow(HL)test assessing goodness-of-fit and ROC curve evaluating predictive performance.Twenty-one potential risk factors were assessed,including age,gender,chronic diseases,clinician experience,treatment compliance,and total infusion volume.Results Infiltration/extravasation occurred in 48 cases(5.10%incidence:31 derivation/17 validation).Among 21 factors,15 showed significant association(P<0.05),with 6 independent predictors:junior high school education or below(OR=5.2),chronic disease history(OR=3.1),poor compliance(OR=2.8),lower extremity venipuncture(OR=4.1),total infusion≥1 000 mL(OR=3.5),and hyperosmotic/corrosive medications(OR=6.7).The final prediction model was:Y=2×(low education)+1×(chronic disease)+1×(poor compliance)+1×(lower extremity puncture)+1×(volume≥1 000 mL)+2×(corrosive agents).For the derivation cohort,AUC was 0.967(95%CI:0.936～0.998),specificity 0.911,sensitivity 0.935,with good calibration(χ2=4.135,P=0.845).Validation cohort showed AUC 0.939(0.853～1.000),specificity 0.919,sensitivity 0.941,and acceptable calibration(χ2=8.998,P=0.085).Conclusion This model demonstrates excellent discriminative ability and calibration,providing an effective tool for identifying high-risk patients and guiding targeted preventive strategies.

Objective To explore the relationship between pathogenic microorganism types,age and season in 2 188 children with respiratory tract infections.Methods A total of 2 188 children with respiratory tract in-fections admitted to the Department of Pediatrics,962 Hospital,Joint Logistic Support Force of PLA from June 2023 to May 2024 were selected as the study subjects.Targeted next generation sequencing(tNGS)tech-nology was used to detect 107 common pathogenic microorganism in children with respiratory tract infections,including Haemophilus influenzae,rhinovirus,Moraxella catarrhalis,Mycoplasma pneumoniae,Staphylococcus aureus,Streptococcus pneumoniae,human parainfluenza virus,human respiratory syncytial virus,etc.The re-spiratory tract infection situation and epidemiological characteristics of children in Harbin were analyzed.Re-sults Among 2 188 pediatric patients,98.5%(2 156/2 188)tested positive for pathogenic microorganism,with Haemophilus influenzae accounting for the highest proportion of 33.5%(732/2 188),followed by rhino-virus of 25.0%(547/2 188)and Moraxella catarrhalis of 24.8%(543/2 188).The positive rates of Hae-mophilus influenzae and human adenovirus in male children were higher than those in female children(P<0.05),while there were no statistically significant differences in the positive positive rates of other pathogenic microorganism between male and female children(P>0.05).Except for human adenovirus and influenza A virus,which showed no statistically significant differences in positive rates among different age groups(P>0.05),there were statistically significant differences in the positive rates of other pathogenic microorganism a-mong different age groups(P<0.05).The positive rates of pathogenic microorganism in preschool children were relatively high.There were no statistically significant differences in the positive rates of Streptococcus and Staphylococcus aureus in different seasons(P>0.05),while there were statistically significant differences in the positive rates of other pathogenic microorganism in different seasons(P<0.05).The positive rates of Haemophilus influenzae,Streptococcus pneumoniae,human metapneumovirus,human parainfluenza virus and SARS-Cov-2 were the highest in summer(P<0.05).Conclusion 2 188 children with respiratory tract infec-tions were mainly caused by pathogenic microorganism such as Haemophilus influenzae,rhinovirus,and Moraxella catarrhalis,etc.Preschool children is a susceptible group,and the prevalence of pathogenic microor-ganism varies seasonally.In clinical practice,relevant prevention and control measures should be developed based on this characteristic to reduce the incidence of diseases.

Objective Through organizing a proficiency evaluation activity for animal illuminance testing laboratories,to assess the accuracy of testing data from participating laboratories,and to propose suggestions for testing methods.Methods In September 2024,China National Institute for Food and Drug Control(NIFDC)organised reference laboratories to conduct on-site testing through open registration.A total of 35 laboratories participated,completed on-site testing,and submitted their reports.The samples to be tested were two adjacent guinea pig breeding rooms in the NIFDC laboratory animal facility.In order to reduce the impact of room voltage fluctuations on animal illumination,chip on board(COB)light sources powered by regulated power supply were used,and brightness was adjusted by regulating voltage output.Split-level test sample pairs were used to set animal illuminance in both rooms,and the reference laboratories conducted testing according to Laboratory animals——Environment and housing facilities(GB 14925-2023).Each reference laboratory was assigned a 3-digit random code,conducted 2 tests for each breeding room,and submitted an on-site test report,original records,and illuminance meter verification or calibration certificate.WPS Spreadsheet 12.1 was used to summarize data,Grubbs' test(α=0.01)was used to check the data and remove outliers,and SPSS 26.0 software was used for data processing and graph drawing.The median value from each reference laboratory was used as the specified value,the robust standard deviation was used as the uncertainty,the robust z-score method(both intra-laboratory and inter-laboratory z-scores)was used to evaluate the test results from each laboratory,and the factors affecting results were analyzed from aspects of personnel,equipment,and operational environment.Results Under the detection level of α=0.01,no outliers were identified.The specified values for Room 1 and Room 2 were 17.80 lx and 19.00 Ix,respectively.The results obtained from 34 laboratories were evaluated as"satisfactory",while the results from one laboratory were"unsatisfactory".Through analysis of illuminance meter calibration certificates from various laboratories,it was found that some reference laboratories had insufficient calibration points and coverage,which caused test results to fail to accurately reflect the actual illuminance of the facility.Conclusion The present study reveals that factors such as personnel,equipment,and operation environment have different impacts on animal illuminance measurements.The present study concentrates exclusively on animal illuminance in guinea pig breeding rooms,where the testing environment is relatively dim.Future research should focus on the development of more efficient methods for selecting measurement sites,with the combination of illuminance meters equipped with wireless probes and storage functions to enhance testing efficiency.

Objective To analyze the influencing factors of the success of clinical pregnancy in secondary infertility patients undergoing in vitro fertilization-embryo transfer(IVF-ET)and construct a nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 235 patients with secondary infertility who underwent IVF-ET at Urumqi Maternal and Child Health Hospital from January 2020 to December 2023.They were divided into successful pregnancy group(n=109)and failed pregnancy group(n=1 26)based on whether clinical pregnancy was successful.The general information,ovulation induction data and embryo data of two groups of patients were compared.Multivariate Logistic regression analysis was used to screen out statistically significant indicators,and based on this,a nomogram prediction model was constructed.The receiver operating characteristic curve,calibration curve and decision analysis curve were drawn to verify the discrimination,accuracy and clinical practicability of the model.Results The results of multivariate Logistic regression analysis showed that the female's age,overweight and obesity were all risk factors for clinical pregnancy failure,while anti-Müllerian hormone(AMH)and the total amount of gonadotropins(Gn)were protective factor for clinical pregnancy outcomes.On this basis,a nomogram prediction model was successfully constructed,which has a medium degree of discrimination,good accuracy and clinical practicability.Conclusion For secondary infertility patients undergoing IVF-ET,the female's age,overweight and obesity,AMH,and the total amount of Gn have certain influences on clinical pregnancy.The clinical pregnancy outcome can be predicted through the constructed nomogram prediction model.

Insomnia is often comorbid with anxiety and/or depression.Identifying biomarkers for this comorbidity is crucial for precise diagnosis,elucidating the underlying pathological mechanisms,and developing personalized treatment strategies.Current research has preliminarily revealed a series of potential biomarkers for insomnia comorbid with anxiety and/or depression.Elevated peripheral pro-inflammatory factors(e.g.,interleukin-6),and decreased peripheral brain-derived neurotrophic factor,and monoamine neurotransmitters(e.g.,5-hydroxytryptamine)may indicate the presence of a comorbid state.However,studies focusing on this comorbidity remain relatively limited.In the future,it will be necessary to systematically explore and verify the clinical application value of potential biomarkers through measures such as expanding sample size,strengthening longitudinal design,and expanding the categories of biomarkers.This will provide a more solid theoretical foundation for the early diagnosis and personalized treatment of insomnia comorbid with anxiety and/or depression.

Objective To analyze the focus and shortcomings of provincial-level digitalization policies for Traditional Chinese Medicine(TCM),and to provide references for improving relevant policies.Methods A three-dimensional analytical framework—comprising"digitalization policy coverage-economic level-TCM development level"was constructed to quantitatively analyze provincial TCM digitalization policy documents issued over the past five years.Results A total of 750 policy items were extracted.Among them,digital applications accounted for the largest proportion(58.13%),while digital governance(26.53%)and digital infrastructure(15.33%)were relatively less emphasized.Two-dimensional analysis revealed that 48.4%of provinces had both low economic levels and low digital policy coverage,while 45.2%had both low TCM development levels and low policy coverage.Multiple linear regression result showed a positive association between digitalization policies coverage and TCM development level,with no significant correlation to economic level.Conclusion Most provincial TCM digitalization policies prioritize application while neglecting governance and infrastructure.There is a need to strengthen talent development and standard system construction,The extent of policy coverage is closely related to the level of TCM development,indicating the need to enhance top-level policy design,Provincial policies vary in focus and can be categorized into three types:industry-driven,technology-driven,and demand-driven.

The underlying cause of low response rates to existing immunotherapies is that tumor cells dominate tumor immune escape through surface antigen deficiency and inducing tumor immunosuppressive microenvironment (TIME). Here, we proposed an in situ tumor cell engineering strategy to disrupt tumor immune escape at the root by restoring tumor cell MHC-I/tumor-specific antigen complex (MHC-I/TSA) expression to promote T-cell recognition and by silencing tumor cell CD55 to increase the ICOSL⁺ B-cell proportion and reverse the TIME. A doxorubicin (DOX) and dual-gene plasmid (MAC pDNA, encoding both MHC-I/ASMTNMELM and CD55-shRNA) coloaded drug delivery system (LCPN@ACD) with tumor targeting and charge/size dual-conversion properties was prepared. LCPN@ACD-induced ICD promoted DC maturation and enhanced T-cell activation and infiltration. LCPN@ACD enabled effective expression of MHC-I/TSA on tumor cells, increasing the ability of tumor cell recognition and killing. LCPN@ACD downregulated tumor cell CD55 expression, increased the proportion of ICOSL⁺ B cells and CTLs, and reversed the TIME, thus greatly improving the efficacy of αPD-1 and CAR-T therapies. The application of this in situ tumor cell engineering strategy eliminated the source of tumor immune escape, providing new ideas for solving the challenges of clinical immunotherapy.