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.

Objective:To explored the application value of dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI)combined with amide proton transfer(APT)imaging in brian glioma grading.Methods:Retrospective analysis of clinical data of 100 patients with brian glioma admitted to The Second Affiliated Hospital of Xinjiang Medical University from January 2022 to September 2024.They were divided into a low-grade group(WHO grades Ⅰ-Ⅱ,n=62)and high-grade group(WHO grades Ⅲ-Ⅳ,n=38)according to the World Health Organization(WHO)grading system for tumors.All patients underwent DSC-PWI and APT imaging preoperative examinations.Apparent diffusion coefficien(ADC),cerebral blood volume(CBV),cerebral blood flow(CBF),mean transit time(MTT),time to peak(TTP),maximum APT value(APTmax),minimum APT value(APTmin),the average APT value of the whole lesion(APTwhole)were recorded.The general datas and ADC,CBV,CBF,MTT,TTP,APTmax,APTmin,APTwhole of two group were compared.The influencing factors of high-grade brian glioma were analysed by Multivariate logistic regression.The diagnostic value of high-grade brian glioma was analysed of DSC-PWI combined with APT imaging by receiver operating characteristic(ROC)curve.Results:There was no statistically significant difference in age,gender,lesion location,basilar artery occlusion,necrosis and growth pattern between the two groups(P＞0.05),there was a statistically significant difference in the maximum diameter of lesions ≥2 cm and cystic lesions(P＜0.05).The ADC of the high-gradel group was lower than that of the low-grade group,while APTmax,APTmin,APTwhole,CBF,CBV,MTT and TTP were all higher than those of the low-grade group(P＜0.05).Elevated APTmax,APTmin,CBV,MTT,and TTP were risk factors for high-grade brian glioma(P＜0.05),while elevated ADC was a protective factor(P＜0.05).The results of ROC analysis showed that,the area under the curve(AUC)values of APTmax,APTmin,ADC,CBV,MTT,and TTP for diagnostic high-grade brian glioma were 0.830,0.868,0.852,0.843,0.803 and 0.827(all P＜0.05).The results of ROC analysis showed that,the AUC values of the logistic model for diagnostic high-grade brian glioma was 0.993.Conclusion:Single detection of DSC-PWI and APT imaging parameters has high diagnostic value in brian glioma grading,and combined detection of APTmax,APTmin,ADC,CBV,MTT and TTP imaging parameters can further improve diagnostic accuracy.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.

Objective:To investigate the efficacy and safety of transurethral water vapor thermal therapy(WVTT)using the Rezūm system for benign prostatic hyperplasia(BPH)in the real world.Methods:A total of 181 patients with BPH were recruited from the Second Affiliated Hospital of Nanjing Medical University from August 2022 to December 2023,of whom 173 patients were treated with WVTT using the Rezūm system,while 8 patients were treated with WVTT combined with TURP.They were followed up at 1,3,and 6 months postoperatively to assess changes in the IPSS,QoL,Qmax,IIEF-5,and the occurrence of any complications.Results:All 181 surgeries in this group were successfully completed.The operation time of the Rezūm system was(4.6±1.4)mi-nutes.The postoperative indwelling catheterization time was(8.0±2.1)days.With a follow-up of at least 6 months,there was a significant decrease in PV,IPSS and QoL,and a remarkable increase had been found in Qmax as well(P＜0.05).There was no sig-nificant difference in IIEF-5 before and after the operation(P＞0.05).In this groups of patients,postoperative complications mainly included 95 cases(52.5％)of gross hematuria,6 cases(3.3％)of retrograde ejaculation,5 cases(2.8％)of urethral stricture,4 cases(2.2％)of prostatitis,and 10 cases(5.5％)of urinary tract infection.Four cases(2.2％)underwent surgical retreatment for BPH after surgery.Conclusion:In the real world,the use of Rezūm thermal steam ablation system for the treatment of BPH has sat-isfactory short-term effect,short surgical time,and significant improvement in IPSS,QoL,Qmax,which does not adversely affect sexu-al function.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective:To explore the formulation patterns and potential targets of traditional Chinese medicine (TCM) in the treatment of pneumoconiosis using data mining, network pharmacology, and Mendelian randomization (MR) .Methods:In November 2023, prescription data for TCM compound treatments of pneumoconiosis from the past five years were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang, and VIP databases. The formulation patterns of TCM for pneumoconiosis were analyzed based on drug frequency, association rules, and cluster analysis, followed by the identification of core drugs. Network pharmacology and MR analysis were then applied to determine the potential targets for pneumoconiosis treatment.Results:A total of 100 TCM prescriptions were included, involving 182 herbs, with 15 high-frequency herbs. A total of 24 strong association rules were identified, including 16 herbs. Cluster analysis identified three groups of drug combinations. The core drug combination, "Astragalus Root-Codonopsis Root-Tangkuei-Chinese Magnolia Vine Fruit-Danshen Root-Prepared Rehmannia Root" was determined, which interacted with 47 common targets associated with pneumoconiosis. Further protein-protein interaction (PPI) analysis identified 18 core targets, and MR analysis confirmed that Caspase-3 (CASP3) and Cathepsin B (CTSB) were risk factors for pneumoconiosis ( OR=1.35, 1.44; P=0.038, 0.038) . Conclusion:The core drug combination for the treatment of pneumoconiosis with TCM is "Astragalus Root-Codonopsis Root-Tangkuei-Chinese Magnolia Vine Fruit-Danshen Root-Prepared Rehmannia Root". The medication mainly focuses on tonifying lung qi, moistening dryness and stopping coughing, circulating blood and transforming stasis, which are supplemented with herbs for nourishing yin and moistening dryness, warming yang and dissipating cold. Finally, the key targets for treating pneumoconiosis are screened out, providing an important basis for the development of therapeutic drugs for it.

Objective:To investigate the value of carotid，radial and podalic artery intima thickness（CIT，RIT，PIT）combined with monocyte to high-density lipoprotein ratio（MHR）in predicting the severity of coronary artery stenosis in patients with premature coronary artery disease（PCAD）.Methods:A total of 80 patients with PCAD who received treatment in Henan Provincial People's Hospital from October 2023 to May 2024 were prospectively recruited，and they were divided into high group（≥41 score，40 cases）and low group（＜41 score，40 cases）according to the median dichotomy of Gensini score. Thirty-four gender，age and body mass index（BMI）-matched healthy volunteers were selected as the control group. The CIT，RIT，PIT，media and intima media thickness of carotid，radial artery and podalic artery（CMT，RMT，PMT，CIMT，RIMT，PIMT）were measured using 24 MHz ultra-high frequency ultrasound probe，and the ratio of intima to media thickness（CIT/CMT，RIT/RMT，PIT/PMT）was calculated. The differences of general clinical data，laboratory indexes and ultrasonic parameters among the three groups were compared. Risk factors affecting the severity of coronary stenosis in PCAD patients were explored by binary logistic regression. Subject working characteristic curves were plotted，area under the curve（AUC）was calculated，and the values of each ultrasound parameter and MHR in the independent and combined diagnosis of the severity of coronary artery stenosis in PCAD patients were evaluated.Results:①There were no statistically significant differences in age，gender，BMI，total cholesterol，CMT，RMT and PMT among the three groups（all P＞0.05）. There were no statistically significant differences in the comparison of smoking，hypertension，diabetes mellitus，systolic blood pressure，diastolic blood pressure，low-density lipoprotein cholesterol，total cholesterol，and triglycerides between the two subgroups of the PCAD（all P>0.05）. ②CIT，CIMT，CIT/CMT，RIT，RIMT，RIT/RMT，PIT，PIMT，PIT/PMT were thickened in the high group compared with the low group，and MHR was higher than in the low group（all P<0.05），the differences in the above parameters remained statistically significant when comparing the PCAD group with the control group（all P<0.05）. ③The AUC values for MHR，CIT，RIT and PIT alone to predict the severity of coronary stenosis in patients with PCAD were 0.781，0.767，0.780 and 0.722，respectively. The combined diagnostic efficiency of the four parameters was better than the independent diagnostic efficiency（AUC = 0.885）. Conclusions:CIT，RIT and PIT are thicker in PCAD patients with high Gensini score and the combination of artery intima thickness and MHR has good efficacy in predicting the severity of coronary artery stenosis in PCAD patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the application value of dual-layer detector spectral CT in the precise outlining of gross tumor volume (GTV) in lung cancer patients.Methods:Imaging data of 39 patients with pathologically confirmed lung cancer on dual-energy enhanced CT scans in Hebei Medical University Third Hospital were retrospectively analyzed. Among them, 13 patients were not complicated with lung atelectasis and 26 cases were complicated with lung atelectasis and 9 of them received positron emission computed tomography (PET-CT) scan. The virtual single-energy images of arterial and venous dual-phase 40 keV images were reconstructed with the spectral base images of Iqon dual-energy CT, and the GTV of the primary foci was outlined using the reconstructed images and conventional enhanced CT images. The GTV outlined by conventional enhanced CT image, 40 keV virtual monoenergetic (VM) CT image, 40 keV VM-iodine density (VM-ID) fusion image in the arterial phase, conventional enhanced CT image, 40 keV VM image and 40 keV VM-ID image in the venous phase and PET-CT image was defined as GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT, respectively. The consistency of target area outlining was assessed by calculating the GTV volume, the Dice similarity coefficient (DSC), and the 95 th percentile of the Hausdorff distance (HD95). Pairwise comparison among groups was conducted by Friedman test and corrected by Bonferroni correction. Results:In GTV comparisons, the differences in GTV ACT, GTV VCT, GTV A40VM and GTV V40VM in patients without pulmonary atelectasis were not statistically significant ( χ2=1.89, P=0.595). The DSC and HD95 of GTV ACTvs. GTV A40VM were 0.96 and 3.00, and the DSC and HD95 of GTV VCTvs. GTV V40VM were 0.94 and 2.93, respectively. The differences in GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT in patients complicated with pulmonary atelectasis were statistically significant (all P<0.001). Pairwise comparison of Bonferroni correction showed that there was no statistically significant difference in GTV A40VM, GTV A40VMID, GTV V40VM, GTV V40VMID and GTV PET-CT (all P=1.000), all of which were significantly smaller than those of GTV ACT and GTV VCT (both P=0.001), and there was no statistically significant difference between GTV ACT and GTV VCT (both P=1.000). Based on the tumor extent shown by PET-CT (standardized uptake value =2.5), DSC were slightly higher and HD95 were slightly lower than conventional enhanced CT of GTV A40VM, GTV V40VM, GTV A40VMID, GTV V40VMIDvs. GTV PET-CT, respectively. When the arterial phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction showed that the DSC and HD95 of GTV A40VMvs. GTV PET-CT and GTV ACTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). When intravenous phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction revealed that the DSC and HD95 of GTV V40VMIDvs. GTV PET-CT and GTV VCTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). Conclusions:The use of 40 keV VMI-ID fusion images to outline the target area of the primary tumor lesions is closer to that of PET-CT, which provides a novel option for the precise outlining of the target area of clinical radiotherapy.