ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

The pathogenesis of chronic wound healing is complex. It is often difficult to heal due to a long course of disease， difficulty in treatment， and it seriously affects the quality of life in patients. The active ingredients， couplet medicinals， and compound formulas of traditional Chinese medicine （TCM） possess unique advantages in the treatment of chronic wound healing. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway is extremely critical in the treatment of chronic wound healing by regulating a series of biological processes， including cell apoptosis， angiogenesis， and inflammatory responses. This article reviews the relevant research on the regulation of the PI3K/Akt signaling pathway by TCM to promote chronic wound healing. It has been found that the active ingredients of TCM （such as geniposide， astragaloside， and ginsenosides， etc.）， and compound formulas （such as Chonghe ointment， Huanglian ointment， Shirun shaoshang ointment， etc.） mainly reduce inflammatory responses， promote angiogenesis， regulate cell autophagy， and accelerate wound healing by activating the PI3K/Akt signaling pathway； at the same time， there are also a few couplet medicinals（ such as Huangqi-Honghua） and compound formulas （such as Xiangpi Shengji ointment） that exert anti-inflammatory effects by inhibiting this signaling pathway， to promote wound healing.

Kounis syndrome is an acute coronary syndrome triggered by an allergic reaction, which is clinically rare and frequently subject to misdiagnosis or missed diagnosis. This article presents a case report of a 70-year-old male patient who developed a rash, pruritus, and chest pain following colon polyp resection. Coronary angiography revealed occlusion of the left anterior descending artery, and blood flow was restored after stent implantation. However, the patient experienced recurrent symptoms accompanied by loss of consciousness. Drug skin tests confirmed positive reactions to chlorhexidine and fondaparinux sodium, leading to a diagnosis of type Ⅱ Kounis syndrome. By avoiding allergenic drugs and combining antihistamines with symptomatic treatment to correct myocardial ischemia, the patient′s clinical symptoms significantly improved, and he eventually recovered and was discharged from the hospital. This case underscores the importance of maintaining vigilance for this syndrome in patients with allergies accompanied by chest pain and promptly identifying and avoiding allergens.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective We aimed to compare the efficacy and prognosis of percutaneous coronary intervention(PCI)in complex and high-risk patients with coronary heart disease(CHD)treated with extracorporeal membrane oxygenation(ECMO)combined with intra-aortic balloon pump(IABP)assistance,and explore the application value of combined use of mechanical circulatory support(MCS)devices in complex PCI.Methods A total of patients who met the inclusion criteria and underwent selective PCI supported by MCS at the Department of Cardiology,the First Affiliated Hospital of the Air Force Medical University from January 2018 to December 2022 were continuously enrolled.According to the mechanical circulatory support method,the patients were divided into ECMO+IABP group and IABP group.Clinical characteristics,angiographic features,in-hospital outcomes,and complications were collected.The intra-hospital outcomes and major adverse cardiovascular events(MACE)at one month and one year after the procedure were observed.The differences and independent risk factors between the two groups in the above indicators were analyzed.Results A total of 218 patients undergoing elective PCI were included,of which 66 patients were in the ECMO+IABP group and 152 patients were in the IABP group.The baseline characteristics of the two groups of patients were generally comparable,but the ECMO+IABP group had more complex lesion characteristics.The proportion of patients with atrial fibrillation(6.1％vs.0.7％,P=0.030),left main disease(43.9％vs.27.0％,P=0.018),triple vessel disease(90.9％vs.75.5％,P=0.009),and RCA chronic total occlusion disease(60.6％vs.35.5％,P＜0.001)was higher in the ECMO+IABP group compared to the IABP group.The proportion of patients with previous PCI history was higher in the IABP group(32.9％vs.16.7％,P=0.014).There was no statistically significant difference in the incidence of in-hospital complications between the two groups(P=0.176),but the incidence of hypotension after PCI was higher in the ECMO+IABP group(19.7％vs.9.2％,P=0.031).The rates of 1-month MACE(4.5％vs.2.6％,P=0.435)and 1-year MACE(7.6％vs.7.9％,P=0.936)were comparable between the two groups.Multivariate analysis showed that in-hospital cardiac arrest(OR 7.17,95％CI 1.27-40.38,P=0.025)and after procedure hypotension(OR 3.60,95％CI 1.10-11.83,P=0.035)were independent risk factors for the occurrence of 1-year MACE.Conclusions Combination use of ECMO+IABP support can provide complex and high-risk coronary heart disease patients with an opportunity to achieve coronary artery revascularization through PCI,and achieve satisfactory long-term prognosis.

This study was aimed at understanding the serotypes,virulence,drug resistance,and genetics of the pathogenic genes from 29 strains of foodborne Listeria monocytogenes in Guizhou Province in 2022.The minimum inhibitory concentration(MIC)values against eight antibiotics were determined with the microbroth dilution method,and whole genome sequencing was performed on 29 L.monocytogenes strains isolated from food microbiology and foodborne disease surveillance efforts in the province in 2022.The genome sequences were assembled,and bioinformatics analyses were conducted to examine genealogy,serogroups,sequence analysis(ST type),clonal groups(CC type),resistance genes,and virulence genes.A total of 29 strains of L.monocytogenes had resistance to zero to eight antibiotics,and carried six resistance genes.All strains of L.monocytogenes carried fosX,mprF,Lin,and norB.The 29 strains of L.monocytogenes belonged to 2 lineages(Ⅰ and Ⅱ):17 strains belonged to lineage Ⅱ,which was the dominant strain,and 12 strains belonged to lineage Ⅰ.The strains were classified into 13 ST types,among which ST8 was dominant,accounting for 31.03％(9/29 strains),and was followed by ST619 and ST121,accounting for three strains each.The strains were di-vided into four serogroups,with 15 strains in serogroups 1/2a and 3a;11 strains in serogroups 1/2b,3b,and 7;2 strains in serogroups 1/2c and 3c;and 1 strain in serogroups 4b,4d,and 4e.The strains were divided into 12 CC types,and one unsub-divided CC type,ST2348,among which CC8 was dominant,accounting for 27.59％(nine strains).A total of 25 virulence genes were found,which belonged to three virulence islands(LIPI-1,LIPI-2,and LIPI-3)and 23 CL types,including one or two strains each,and three CL types including two strains each.Foodborne L.monocytogenes in Guizhou Province has a low level of drug resistance,carries a high number of virulence genes,and shows genetic diversity in serogroups and molecular phe-notypes.These findings should strengthen the continuous surveillance efforts for Listeria monocytogenes.

Objective:To investigate the clinical characteristics and treatment of patients with CD4+CD8-T-cell large granular lymphocytic leukemia(T-LGLL).Methods:The clinical manifestations,diagnosis and treatment of 1 case of CD4+CD8-T-LGLL patient were reported,and relevant literatures were reviewed.Results:The patient was a 70-year-old woman with slow clinical progress,mainly manifested by thrombocytopenia and myelodysplasia.The blood smear was mainly composed of large granular lymphocytes.Immunotyping and T-cell receptor gene rearrangement analysis showed that it was in line with T-LGLL.Partial remission(PR)was achieved through the treatment of cyclophosphamide(50 mg/d)combined with prednisone(gradually reduced and stopped later).Conclusion:CD4+CD8-T-LGLL is very rare in clinical practice,and its clinical manifestations are different from those of CD4-CD8+T-LGLL.

Objective:To observe the effect of auricular pressure beans(APN)combined with Compound Tung-Leaf Burn Oil(CTBO)on perioperative anxiety and pain in patients undergoing circumcision.Methods:This study included 100 patients undergo-ing circumcision with the disposable circumcision anastomosis stapler in our hospital from August 2023 to November 2023,of whom 50 received routine circumcision nursing care(the control group)and other 50 APN combined with compound CTBO in addition(the ob-servation group).We compared between the two groups the anxiety scores before any intervention,30 minutes before and 24 hours and 10 days after operation,the pain scores 24 hours postoperatively and at the first change of wound dressing,the frequency of 3-day post-operative sleep awakenings,the incidence of complications,and the satisfaction of the patients.Results:Totally,94 patients com-pleted the study,46 in the observation and 48 in the control group.The anxiety scores exhibited no statistically significant difference between the two groups of patients before any intervention(P>0.05),but were markedly lower in the observation than in the control group at 30 minutes before and 24 hours and 10 days after surgery(P<0.05),and so were the pain scores24 hours after surgery and at the first change of wound dressing(P<0.05),and the frequency of 3-day postoperative sleep awakenings(P<0.05).The satis-faction rate of the patients was remarkably higher(P<0.05)while the incidence of complications significantly lower in the observation group than in the control(P<0.05).Conclusion:Auricular pressure beans combined with Compound Tung-Leaf Burn Oil can ef-fectively alleviate perioperative anxiety,reduce postoperative pain and improve satisfaction of the patients undergoing circumcision.

Objective To assess the effectiveness and safety of prone positioning in the treatment of neonatal respiratory distress syndrome(NRDS)using invasive respiratory support.Methods A prospective study was conducted from June 2020 to September 2023 at Suining County People's Hospital,involving 77 preterm infants with gestational ages less than 35 weeks requiring invasive respiratory support for NRDS.The infants were randomly divided into a supine group(37 infants)and a prone group(40 infants).Infants in the prone group were ventilated in the prone position for 6 hours followed by 2 hours in the supine position,continuing in this cycle until weaning from the ventilator.The effectiveness and safety of the two approaches were compared.Results At 6 hours after enrollment,the prone group showed lower arterial blood carbon dioxide levels,inspired oxygen concentration,oxygenation index,rates of tracheal intubation bacterial colonization,and Neonatal Pain,Agitation and Sedation Scale scores compared to the supine group(P<0.05).There were no significant differences between the groups in terms of pH,arterial oxygen pressure,positive end-expiratory pressure,duration of mechanical ventilation,accidental extubation,ventilator-associated pneumonia,air leak syndrome,skin pressure sores,feeding intolerance,and grades II-IV intraventricular hemorrhage(P>0.05).Conclusions Compared to supine positioning,prone ventilation effectively improves oxygenation,increases comfort,and reduces tracheal intubation bacterial colonization in neonates requiring mechanical ventilation for NRDS,without significantly increasing adverse reactions.

Objective:To establish a predictive model for myocardial contusion (MC) in patients with rib fractures and evaluate its clinical application value.Methods:A retrospective case-control study was conducted to analyze the clinical data of 370 patients with rib fractures admitted to the Affiliated Jiangsu Shengze Hospital of Nanjing Medical University from January 2017 to December 2019, including 257 males and 113 females, aged 18-95 years [(56.5±14.0)years]. All the patients underwent electrocardiogram examination and myocardial biomarker test within 24 hours on admission, of whom 159 were diagnosed with MC, and 211 with non-MC (NMC). The 370 patients were divided into a training set of 264 patients (106 with MC, 158 with NMC) and a validation set of 106 patients (53 with MC, 53 with NMC) at a ratio of 7∶3 through the completely randomized method. In the training set, the MC group and NMC group were compared in terms of their demographic characteristics, vital signs on admission, types of rib fractures, number of rib fractures, locations of rib fractures, associated thoracic injuries, trauma scores, and laboratory indices. Variables of positive correlation with MC in patients with rib fractures were screened by Spearman correlation analysis, followed by univariate binary Logistic regression analysis for these variables to determine the risk factors for MC in patients with rib fractures. LASSO regression analysis and multivariate Logistic regression analysis were applied to identify the independent risk factors for MC in patients with rib fractures, and the regression equation was constructed. A nomogram prediction model was plotted based on the regression equation with R software. The receiver operating characteristic (ROC) curve was plotted to evaluate the model′s discriminability. Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curves of 1000 repeated samplings by the Bootstrap method were used to evaluate the calibration of the model. The decision curve analysis (DCA) and clinical impact curve analysis (CIC) were plotted to evaluate its clinical efficacy. A risk scoring was performed according to the assigned β coefficient of independent risk factors. Accordingly, the 370 selected patients with rib fractures were divided into low-risk subgroup of 202 patients, moderate-risk subgroup of 108 patients, high-risk subgroup of 50 patients, and extremely high-risk subgroup of 10 patients. The incidence of MC and in-hospital mortality were compared among different subgroups so as to further verify the clinical application value of the predictive model.Results:In the training set, there were significant differences between the MC group and NMC group in bilateral rib fractures, flail chest, number of rib fractures, upper chest proximal sternum segment, upper chest anterolateral segment, upper chest proximal spinal segment, middle chest anterolateral segment, middle chest proximal spinal segment, lower chest anterolateral segment, pneumothorax, mediastinal emphysema, hemothorax, sternal fractures, chest abbreviated injury scale (c-AIS), injury severity score (ISS), new injury severity score (NISS), white blood cell counts, hemoglobin, hematocrit, total cholesterol, low density lipoprotein, albumin, aspartate aminotransferase, alanine aminotransferase, and blood urea nitrogen ( P<0.05 or 0.01). Spearman correlation analysis showed that the bilateral rib fractures, flail chest, number of rib fractures, upper chest proximal sternum segment, upper chest anterolateral segment, upper chest proximal spinal segment, middle chest anterolateral segment, middle chest proximal spinal segment, lower chest anterolateral segment, pneumothorax, hemothorax, sternal fractures, c-AIS, ISS, NISS, white blood cell count, aspartate aminotransferase and blood urea nitrogen were positively correlated with MC ( P<0.05 or 0.01). Univariate binary Logistic regression analysis verified that the above variables with positive correlation were significantly correlated with MC in patients with rib fractures ( P<0.05 or 0.01). The 4 predictor variables screened by LASSO regression analysis were the upper chest anterolateral segment, middle chest proximal spinal segment, pneumothorax, and sternal fractures. Multivariate Logistic regression analysis confirmed that the aforementioned 4 predictor variables were independent risk factors for MC in patients with rib fractures ( P<0.05 or 0.01). The regression equation of the training set was established based on the above independent risk factors: P=e x/(1+e x), with the x=1.57×"upper chest anterolateral segment"+0.73×"middle chest proximal spinal segment"+1.36×"pneumothorax"+2.16×"sternal fractures"-1.10. In the predictive model for MC in patients with rib fractures established based on the equation, the area under the ROC curve (AUC) was 0.77 (95% CI 0.72, 0.83) and 0.77 (95% CI 0.71, 0.82) in the training set and validation set. The H-L goodness-of-fit test showed χ2=2.77, P=0.429 in the training set, and χ2=1.33, P=0.515 in the validation set, indicating that there was no significant difference between the predicted probability and the actual probability of the model ( P>0.05). The calibration curves showed that the bias-corrected curves of the training set and validation set were in good consistency with the actual curves and were both close to the ideal curves. The DCA of the training set and the validation set showed that within the threshold probability range of 0.2-0.8, the predictive model could obtain good net clinical benefits. The CIC of the training set and the validation set indicated that when the threshold probability was >0.4, the population identified as high-risk MC patients by the predictive model highly matched the actual MC patients. Risk scoring of subgroups found that the incidence of MC and in-hospital mortality among the patients with rib fractures were 80.0% and 6.0% in the high-risk subgroup and 90.0% and 20.0% in the extremely high-risk subgroup, significantly higher than those in the low-risk subgroup (24.8%, 1.0%) and the moderate-risk subgroup (55.6%, 1.9%) ( P<0.05). Conclusions:The predictive model for MC in patients with rib fractures constructed based on the upper chest anterolateral segment, middle chest proximal spinal segment, pneumothorax, and sternal fractures has good predictive efficacy and clinical application value.