ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

ObjectiveTo explore the key genes influencing diacylglycerol metabolism in neuroblastoma （NB）， clarify the expression and clinical significance of diacylglycerol acyltransferase 2 （DGAT2） in NB， and provide a theoretical basis for the diagnosis and targeted therapy of NB. MethodsNB transcriptome data were obtained from GEO （GSE49710） and TCGA （TARGET-NBL） databases. Differentially expressed genes （DEGs） commonly upregulated in MYCN-amplified groups were screened， and the key gene DGAT2 was identified by intersecting the screened DEGs with the diacylglycerol metabolism-related gene set followed by prognostic analysis and comparison. The expression of DGAT2 was analyzed via the R2 database. The potential impact of DGAT2 on the immune microenvironment was explored by combining the single-cell dataset GSE137804. Immunohistochemistry （IHC） was used to detect the expression level of DGAT2 and its correlation with MYCN expression in 55 clinical NB tissues and mouse xenograft tumor tissues. ResultsA total of 907 DEGs commonly upregulated in the MYCN-amplified groups were screened， among which three DEGs were highly expressed in the diacylglycerol metabolism-related gene set （P＜0.05）. After comparison， DGAT2 was found to have the most significant impact on prognosis （HR=1.4， 95% CI：1.2，1.7； P=5.41×10^-7）. Survival analysis showed that patients with high DGAT2 expression had a significantly shorter overall survival. Single-cell analysis revealed that high expression of DGAT2 led to an immunosuppressive microenvironment in NB. IHC results showed that the expression of DGAT2 in NB tissues was significantly positively correlated with MYCN expression in the tumor tissue microarrays of clinical NB patients and the tissues of mouse ectopic xenograft tumors （r_s=0.369 4，P＜0.01）. ConclusionsDGAT2 is highly expressed in MYCN-amplified NB， and may independently predict poor prognosis in NB patients. It is expected to become a diagnostic marker for NB and a potential therapeutic target for MYCN-amplified NB.

BACKGROUND:Ferroptosis is closely associated with the pathogenesis of ischemic stroke,and targeting ferroptosis is a promising regimen for the treatment of ischemic stroke,but the specific regulatory targets are unclear. OBJECTIVE:To screen ferroptosis-related characterized genes in ischemic stroke by bioinformatics and machine learning methods and validate them by cellular experiments to investigate the role of ferroptosis in ischemic stroke. METHODS:Eligible ischemic stroke-related datasets and ferroptosis expression datasets were selected based on GEO database and FerrDb database,and ferroptosis-related differential genes were screened by t-test.GO functional enrichment analysis with KEGG signaling pathway enrichment analysis was performed for ferroptosis-related differential genes.Characterized genes for ferroptosis in ischemic stroke were screened by PPI network analysis and machine learning.The reliability and biological functions of the characterized genes were explored using ROC analysis and GSEA analysis,followed by cell experiment.HT22 cells were divided into control and ischemic stroke groups.No intervention was made in the control group,and 0.1 mM H2O2 was added to the ischemic stroke group for 24 hours to simulate cellular oxidative stress injury and ferroptosis.The ferroptosis and the expression of characterized genes were verified by real-time fluorescence quantitative polymerase chain reaction(RT-PCR)and western blot assay. RESULTS AND CONCLUSION:(1)Forty-five ferroptosis-associated differential genes were obtained,and GO and KEGG enrichment analyses revealed that the differential genes were closely associated with oxidative stress,autophagy,ferroptosis,adipocytokine signaling pathway,and mitochondrial metabolism.(2)A total of one ferroptosis characterized gene,nuclear factor erythroid 2-related factor 2(NFE2L2),was identified by the MCODE plugin and cytoHubba plugin in the PPI network with the LASSO algorithm and SVM-RFE algorithm in machine learning.(3)Receiver operating characteristic curve analysis of NFE2L2 revealed that the diagnostic prediction models constructed in the training and validation sets had good accuracy and specificity.GSEA analysis of NFE2L2 revealed that the characterized gene was involved in the regulation of ischemic stroke pathogenesis through immunity,inflammatory response,amino acid metabolism,and neurofactor regulation.(4)RT-PCR and western blot analyses showed that the acyl coenzyme A synthetase long chain family,member 4(ACSL4)mRNA and protein expression levels were significantly higher in the ischemic stroke group compared with the control group(P<0.05),and the glutathione peroxidase 4(GPX4)mRNA and protein expression levels were significantly lower in the ischemic stroke group(P<0.05).Compared with the control group,the mRNA and protein expression levels of the characterized gene NFE2L2 were significantly higher in the ischemic stroke group(P<0.05).(5)It suggests that ischemic stroke is closely related to ferroptosis,and targeting the characterized gene NFE2L2 may provide certain ideas and directions for the study and treatment of ischemic stroke.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.

Objective To compare the difference,agreement,and axial length measurement success rate between biometers ZW-30 and IOLMaser 700 based on swept-source optical coherence tomography for the measurement of ocular bi-ological parameters in patients with cataracts.Methods A total of 126 cataract patients(233 eyes)who were advised to undergo cataract surgery at the Department of Ophthalmology at Beijing Tongren Hospital,Capital Medical University from January to February 2024 were included in this study.Two biometers were used to measure the axial length(AL),mean keratometry(Km),anterior chamber depth(ACD),lens thickness(LT),central corneal thickness(CCT),and horizontal corneal diameter[namely,the white-to-white(WTW)distance].The axial measurement success rate of the two biometers and the difference and agreement between the parameters were calculated.Results The mean difference between ZW-30 and IOLMaster 700 was(-0.006±0.042)mm for AL,(-0.074±0.204)D for Km,(0.031±0.051)mm for ACD,(0.001±0.005)mm for CCT,and(-0.286±0.337)mm for WTW,and the differences were statistically significant(all P＜0.05).The mean difference between ZW-30 and IOLMaster 700 was(0.008±0.215)mm for LT,and the difference was not statis-tically significant(t=0.579,P=0.563).The 95％limits of agreement range was between-0.011 mm and 0.000 mm for AL,between-0.474 D and 0.326 D for Km,between-0.010 mm and 0.012 mm for CCT,between-0.068 mm and 0.131 mm for ACD,between-0.116 mm and 0.159 mm for LT,and between-0.947 mm and 0.376 mm for WTW.The intra-class correlation coefficient of all measurements ranged from 0.790 to 1.000.The AL measurement success rate of IOLMaster 700 and ZW-30 was 95.3％and 95.7％,respectively.The latter had an AL measurement success rate of 98.7％after manually marking the position of the retinal identification line.Conclusion There were statistically significant differences between ZW-30 and IOLMaster 700 in the measurement of the AL,Km,ACD,and CCT,which,however,were not clinically significant.The agreement between both was good.ZW-30 had a higher AL measurement success rate,espe-cially for the manual identification function of eyes with opacified refractive media,which can further improve the AL meas-urement success rate and provide reference for clinical work.

Aim To investigate the role of triggering receptor expressed on myeloidcells 2(TREM2)in syn-aptic plasticity induced by cocaine addiction.Methods C57BL/6J mice and Trem2 knockout mice were uti-lized in this study to evaluate the alterations in postsyn-aptic density protein 95(PSD-95)and synapsin 1(SYN1)within the cortex and hippocampus of co-caine-addicted mice by using immunological tech-niques.Results HE staining and Nissl staining showed increased neuronal damage in the hippocampus and cortex of mice after cocaine addiction.The results of immunohistochemistry and fluorescence of PSD-95 and SYN1 were consistent with the expression trend of Western blot.In the wild type mouse model,the ex-pression level of PSD-95 in the hippocampus and cortex was lower than that in the saline group,and the ex-pression of SYN1 was higher than that in the saline group.In the knockout mouse model,the expression levels of PSD-95 and SYN1 in the hippocampus and cortex were significantly higher than those in the saline group after cocaine addiction.The expression levels of PSD-95 and SYN1 in the hippocampus and cortex of cocaine knockout mice were higher than those of co-caine wild type mice.Conclusion Cocaine addiction can change the synaptic plasticity,and TREM2 plays a regulatory role in the synaptic plasticity of hippocampus and cortex in mice with cocaine injury.TREM2 is ex-pected to be a new target for studying the mechanism of cocaine addiction.

Aging is the result of the accumulation of various molecular and cellular damages over time,encompassing 12 characteristic hallmarks divided into three categories.These include primary hallmarks such as genomic instability,telomere attrition,epigenetic alterations,loss of proteostasis,and disabled macroautophagy;antagonistic hallmarks like deregulated nutrient sensing,mitochondrial dysfunction,and cellular senescence;and integrative hallmarks including stem cell exhaustion,altered intercellular com-munication,chronic inflammation and dysbiosis.Therefore,investigating cellular signaling factors within a single pathway is insufficient to comprehensively understand the complex mechanisms underlying aging.Casein kinase Ⅱ(CK2),one of the earliest identified protein kinases,is capable of phosphorylating ser-ine/threonine/tyrosine residues on hundreds of substrates.It exhibits highly constitutive expression and activity,and is extensively involved in the regulation of cellular processes such as proliferation,differenti-ation,apoptosis,stress response,metabolism,and immune function.CK2 plays a unique role in coordi-nating the cross-talk and integration of various signaling pathways,which is crucial for maintaining cell survival and homeostasis.Recent studies have revealed that CK2 exhibits perturbations in both expression levels and enzymatic activity during aging process,with notable heterogeneity observed across different animals,tissues and cellular models.Overall,the downregulation of CK2 expression not only promotes the development of primary hallmarks but also alleviates antagonistic hallmarks and ameliorates integrative hallmarks of aging,demonstrating dual effect and interconnected mechanisms.Notably,aberrant activa-tion in CK2 expression and activity are associated with various aging-related diseases,including cancer,cardiovascular diseases,chronic metabolic disorders,neurodegenerative diseases and skeletal degenera-tive conditions.Therefore,maintaining CK2 homeostasis may represent an effective strategy for delaying aging.This review summarizes the latest advances in CK2 and aging research,providing not only deeper insights into the common mechanisms underlying aging and aging-related diseases,but also a theoretical foundation for identifying potential targets for the early prevention of aging-related diseases.