Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

To identify clinical viral diseases characterized by reproductive disorders and abortion,a quadruple qPCR method was established for simultaneous detection of PRV,PPV,PCV2 and AS-FV.Four pairs of specific primers and probes were designed according to the conserved genes of four viruses in the NCBI gene bank.The annealing temperature,primer concentration and probe concentration of the reaction were optimized,and the specificity,sensitivity and repeatability of the method were tested.The results showed that the method could not detect other pathogens except the target ones.The minimum detection limit of PRV,PPV,PCV2 and ASFV was 10 copies.Intra-group and inter-group repeatability tests showed that the coefficient of variation of C,values be-tween different batches was less than 3％,indicating that the method was highly specific,sensitive and stable.Establishment of an efficient and sensitive quadruple qPCR method provides technical reference for the clinical prevention and control of porcine pseudorabies virus disease,porcine circo-virus disease,porcine parvovirus disease and African swine fever.

This study investigates the effects of pseudorabies virus(PRV)infection on the antiviral immune signaling pathways and type Ⅰ interferon factors in mouse trigeminal ganglion(TG)cells.In this experiment,primary TG cells were infected with PRV at a multiplicity of infection(MOI)of 1,while mice were infected via a drop-nose method using 106,29 TCID50 of PRV.Real-time fluorescence quantitative PCR(qPCR),Western blot and ELISA were used to assess gene tran-scription,protein expression,and the secretion of IFN-α and IFN-β.The results indicated that PRV infection of mouse TG primary cells led to alterations in the gene and protein expression of RIG-Ⅰ,MAVS,and IRF3,as well as the phosphorylation of IRF3 and IKBα both in vivo and ex vivo.ELISA results showed that PRV infection could regulate the secretion of IFN-α and IFN-β in mouse primary TG cells and mouse TGs.The results of RIG-Ⅰ signaling pathway-related proteins and the secretion of IFN-a and IFN-β were analyzed using Western blot after using siRNA to interfere with RIG-Ⅰ expression in TG cells.The results showed that siRIG-Ⅰ successfully inter-fered with RIG-Ⅰ protein expression in TG cells and caused changes in the expression of down-stream proteins such as MAVS and IRF3,and also regulated the secretion of IFN-α and IFN-β in TG cells.Furthermore,the results indicated that PRV infection induced the expression of RIG-Ⅰ in mouse TG progenitor cells,regulating the antiviral immune response of type Ⅰ interferon factors in TG cells through the RIG-Ⅰ-MAVS-IRF3 signaling axis.Notably,PRV inhibited the expression of IRF3 in TG cells while significantly upregulating the expression of IFN-β during the later stages of infection,which may be an important factor in the important reason for the rapid mortality ob-served in mice during the late stages of PRV infection.This experiment elucidates part of the anti-viral immune mechanism mediated by the RIG-Ⅰ-MAVS-IRF3 signaling pathway in regulating type Ⅰ interferon factor after PRV infection of mouse TG cells,as well as the discovery of differ-ent trends of IRF3 protein changes in vivo and ex vivo,laying the groundwork for future in-depth studies.

Japanese encephalitis virus(JEV)belongs to the genus Flavivirus and the family Flavi-viridae,and is classified as a single-stranded,positive-sense RNA virus.The disease known as Japa-nese encephalitis(JE),which results from JEV infection,is a viral zoonosis that is prevalent worldwide and poses a significant public health concern.JEV infection activates a variety of signa-ling pathways,leading to a series of changes that are crucial to the virus's pathogenesis.Among these pathways,Toll-like receptors(TLRs)are particularly significant,and their diverse range and complex signal transduction mechanisms present substantial challenges for the prevention and con-trol of JEV.Currently,there is no specific treatment for JEV.Although some vaccines have been developed to prevent JE,eradicating JEV remains difficult due to its zoonotic transmission cycle and the limited efficacy of the available vaccines.This article reviews the alterations in various TLR signaling pathways induced by JEV infection in the host,aiming to provide insights into the patho-genic mechanisms of JEV and to identify potential new antiviral targets.

Porcine reproductive and respiratory syndrome virus(PRRSV)is the pathogen of porcine reproductive and respiratory syndrome(PRRS),and its infection mainly causes abortion,stillbirth in sows and piglet respiratory infections,which are widely prevalent in the world and seriously jeopardize the development of the world's animal husbandry industry.PRRSV infection of the host is capable of inducing significant immunosuppression,and in recent years,the study of the mecha-nism of PRRSV immunosuppression has become a hot topic,with studies showing that numerous PRRSV proteins are involved in the regulation of host innate immunity and elucidating the mecha-nism by which PRRSV proteins modulate host innate immunity.In this paper,we reviewed the progress of research on the interaction mechanism between PRRSV proteins and host innate im-munity to provide a theoretical basis for a comprehensive understanding of the pathogenesis of PRRSV and the prevention and control of PRRS.

Objective:To investigate the relationship between serum insulin-like growth factor-1 (IGF-1) levels and intracranial or extracranial atherosclerosis in patients with cerebral small vessel disease (CSVD).Methods:A total of 407 patients with CSVD admitted to Xiangya Hospital of Central South University between July 2021 and September 2023 were enrolled in the study. Carotid duplex ultrasound was used to measure the internal diameter, intima-media thickness (IMT), vascular wall thickness, plaque property score, stenosis index, and stenosis ratio of the bilateral common carotid arteries, internal carotid arteries, external carotid arteries, and vertebral arteries. Magnetic resonance angiography was used to assess the degree of stenosis in intracranial arteries. Patients were divided into 4 groups based on the serum IGF-1 levels (low level group:≤5.21 ng/ml, medium level group:>5.21 ng/ml and ≤10.73 ng/ml, high level group:>10.73 ng/ml and ≤24.26 ng/ml, extremely high level group:>24.26 ng/ml). The IMT of the common carotid artery, carotid plaques, diameters of various cervical vascular lumens, carotid artery diameter stenosis, and intracranial artery stenosis in 4 groups of the patients were compared. The relationship between IGF-1 and intracranial and extracranial atherosclerosis was analyzed by univariate Logistic regression analysis and multivariate Logistic regression analysis.Results:There were inter group differences among the 4 groups in internal carotid artery diameter [low level group 5.45 (0.50) mm vs medium level group 5.32 (0.55) mm vs high level group 5.30 (0.55) mm vs extremely high level group 5.30 (0.50) mm; H=8.210, P=0.042]. The carotid IMT [low level group 0.80 (0.05) mm vs medium level group 0.80 (0.05) mm vs high level group 0.83 (0.03) mm vs extremely high level group 0.83 (0.09) mm; H=8.107, P=0.044], the proportion of carotid artery vascular wall thickening [low level group 52.9%(54/102) vs medium level group 48.0%(49/102) vs high level group 68.3%(69/101) vs extremely high level group 60.8%(62/102); χ2=9.889, P=0.020], the carotid artery plaque property score [low level group 1 (2) vs medium level group 2 (2) vs high level group 2 (2) vs extremely high level group 2 (2); H=8.913, P=0.030] and the proportion of anterior cerebral artery stenosis [low level group 2.9%(3/102) vs medium level group 2.0%(2/102) vs high level group 4.0%(4/101) vs extremely high level group 10.8%(11/102); χ2=10.473, P=0.014] had inter group differences among the 4 groups, and the differences were statistically significant. Univariate Logistic regression analysis indicated that carotid artery vascular wall thickening ( OR=1.197, 95% CI 1.003-1.429, P=0.046), anterior cerebral artery stenosis ( OR=1.814, 95% CI 1.148-2.867, P=0.011), and basilar artery stenosis ( OR=1.530, 95% CI 1.084-2.159, P=0.015) were correlated with IGF-1 levels. Multivariate Logistic regression analysis revealed that after adjusting for age, gender, low-density lipoprotein cholesterol (LDL-C), and C-reactive protein, IGF-1 was positively correlated with the carotid artery vascular wall thickening ( OR=1.311, 95% CI 1.014-1.696, P=0.039); after adjusting for age, IGF-1 was positively correlated with the anterior cerebral artery stenosis ( OR=2.130, 95% CI 1.201-3.776, P=0.010); after adjusting for gender, low-density lipoprotein cholesterol, and cholesterol levels, IGF-1 was positively correlated with basilar artery stenosis ( OR=1.688, 95% CI 1.063-2.681, P=0.027). Conclusions:There is an association between IGF-1 levels and intracranial and extracranial atherosclerosis in patients with CSVD. IGF-1 may play a role in the development and progression of atherosclerosis in CSVD.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness