Objective:To investigate the predictive value of interventricular septal thickness(IVST),the ratio of mitral ear-ly diastolic peak flow velocity to late diastolic peak flow velocity(E/A)combined with aortic valve flow velocity(AV)for hypertensive heart disease(HHD)and its association with blood pressure grade.Methods:A total of 202 patients with hy-pertension suspected of HHD admitted to Qinhuangdao Hospital of Dongfang Hospital,Beijing University of Chinese Medi-cine between May 2020 and May 2023 were enrolled and divided into HHD group(n=102)and non-HHD group(n=100)according to color Doppler energy imaging and blood pressure diagnosis.Blood pressure,IVST,E/A and AV were measured in two groups.The predictive value of IVST,E/A and AV for HHD were evaluated by receiver operating charac-teristic(ROC)curve.According to hypertension grading,patients in HHD group was divided into grade 1～2 group(n=59)and grade 3 group(n=41).The association of IVST,E/A,AV with blood pressure grade in HHD patients were ana-lyzed by Spearman correlation analysis.Results:Compared with patients in non-HHD group,those in HHD group had significant higher IVST,and significant lower E/A and AV(P＜0.001 all);Compared with patients in grade 1～2 group,those in grade 3 group had significant higher IVST,and significant lower E/A and AV(P＜0.001 all).ROC curve showed that the AUC of IVST,E/A and AV alone and their combination in HHD diagnosis was 0.798(95％CI 0.736～0.851),0.682(95％CI 0.613～0.746),0.810(95％CI 0.748～0.862)and 0.927(95％CI 0.881～0.959)respectively,and the diagnostic value of combined detection was significantly higher than those of single detections(Z=4.431,5.669,3.948,P=0.001 all).Spearman correlation analysis showed that E/A and AV were significant negatively correlated with blood pressure grade(r=-0.725,-0.781),while I VST was significant positively correlated with blood pressure grade(r=0.714),and combined detection possessed a stronger correlation with it in HHD patients(r=0.875,P＜0.001 all).Con-clusion:The combined detection of I VST,E/A and AV demonstrates a good predictive value for HHD and exhibits a sig-nificant correlation with blood pressure grade in HHD patients.

Objective To explore the application value of serum cystatin C(CysC)and cluster of differentiation 147(CD147)in predicting restenosis after intracranial artery stenosis stenting(ICASS)in patients with acute ischemic stroke(AIS).Methods A total of 151 AIS patients who received ICASS were selected as the study group,and 112 healthy individuals who underwent physical examinations during the same period were chosen as the control group.The study group was further divided into the restenosis group(30 cases)and the non-stenosis group(121 cases)based on the restenosis status within 6 months after ICASS.The serum CysC levels of the subjects were detected by immunoturbidimetry,and the serum CD147 levels were measured by enzyme-linked immunosorbent assay.Multivariate Logistic regression analysis was conducted to identify factors influencing restenosis after ICASS in AIS patients.The receiver operating characteristic(ROC)curve was used to evaluate the application efficacy of serum CysC and CD147 levels in predicting restenosis after ICASS in AIS patients.Results Serum levels of CysC and CD147 were higher in the study group than those in the control group(P＜0.01).The proportion of patients with stenosis degree>75%and serum levels of CysC and CD147 were higher in the restenosis group than those in the non-stenosis group(P＜0.01).The degree of stenosis>75%and the increased serum levels of CysC and CD147 were risk factors for restenosis after ICASS in AIS patients(P＜0.01).ROC curve analysis showed that serum CysC and CD147 levels independently predicted the AUC of AIS patients with restenosis after ICASS were 0.845 and 0.850,respectively,and the combined predicted AUC was 0.942.The combined prediction efficiency was significantly better than that of single indicator prediction(P＜0.05).Conclusion The increased levels of serum CysC and CD147 in AIS patients are risk factors for restenosis after ICASS,and the combination of the two is more effective in predicting intracranial artery restenosis after ICASS in AIS patients.

This study investigated the infection status,drug resistance,and molecular characteristics of Shiga toxin-producing Escherichia coli(STEC)in domestic goats in Chengkou county,Chongqing.In August 2023,283 fecal samples were collected from households in Chengkou county.After enrichment with EC broth and inoculation onto selective media,samples that tested positive for stx1/stx2 were selected for further isolation.The positive strains were investigated with antimicrobial susceptibility testing and whole genome sequencing.According to the whole genomic sequences,the stx subtypes,serotypes,multi-locus sequence types,virulence genes,drug resistance genes,and phylogenetic relationships of the STEC strains were analyzed.Forty-six strains of STEC were isolated from 283 goat fecal samples,thus resulting in a detection rate of 16.25%.The 46 STEC strains were categorized into 12 O∶H serotypes,among which O76∶H19 and O8∶H7 predominated,each represented by 9 strains.Five STEC strains were identified as serotype O157∶H7.The 46 STEC strains were categorized into 11 sequence types(STs),among which ST675 and ST196 predominated,each represented by nine strains,accounting for a 19.57%proportion.The strains were categorized into 7 stx subtypes,among which stx1c(26/46,56.52%),followed by stx2k(9/46,19.57%)predominated.All nine Stx2k-STEC strains were identified as serotype O8∶H7 and sequence type ST196.In antimicrobial susceptibility testing,2 STEC strains were resistant to ampicillin,one strain was resistant to ampicillin/sulbactam,one strain was resistant to cefazolin,and one strain was resistant to cefoxitin.Nine Stx2k-STEC strains were found to carry the beta-lactam resistance gene blaEC-18.Antimicrobial sensitivity tests revealed that the nine Stx2k-STEC strains were sensitive to all 15 tested antibiotics.Moreover,phylogenetic analysis indicated that the 9 Stx2k-STEC strains were remarkably similar but showed high genetic diversity with respect to that of the Stx2k-STEC strains isolated from other regions in China.Goatsare an important animal reservoir for STEC in theChengkou district of Chongqing,and novel sequence type Stx2k-STEC strains distinct from those found in other regions of China were identified in this region.

Aim To investigate the pharmacological mechanism of Ebselenin(Ebselen,EbSe)in the treat-ment of Escherichia coli(E.coli)infection,which had no significant inhibitory effect on Gram-negative bacte-ria,based on previous studies.Methods After EbSe intervention in E.coli infected Raw264.7 cells,the via-bility of Raw264.7 cells was determined by CCK-8 method,the morphology and structure of Raw264.7 cells were observed by electron microscope,and the in-tracellular bacterial load of Raw264.7 cells was calcu-lated by coated plate method.Polarization status of peritoneal macrophages,Raw264.7 intracellular NO and ROS content and intracellular HO-1 expression in Raw264.7 and E.coli acutely infected mice after E.co-li infection by flow cytometry.qPCR was used to detect the expression of related mRNAs in Raw264.7 cells.qPCR was used to detect the intracellular GSH content in Raw264.7 cells by spectrophotometric assay,and the state of cytoskeletal proteins was observed by immuno-fluorescence.Western blot assay was performed to de-tect the intracellular Txnrd1 expression level.Results Microtiter method,CCK-8,and electron microscopy observations showed that EbSe had no effect on the growth of E.coli and Raw264.7 cells in vitro.The re-sults of smear plate counting showed that EbSe reduced the intracellular bacterial load of Raw264.7 in the in-fected group.Flow cytometry results showed that EbSe upregulated the number of M2-type macrophages.The EbSe-treated infected group had reduced intracellular NO and ROS levels and increased GSH levels.The qPCR results showed that the expression of IL-6,IL-1β,and iNOS was decreased,and the expression of HO-1,Txnrd1,and Glut1 was increased in DHB4-in-fected Raw264.7 cells after EbSe treatment.Cytoskel-etal staining showed that the morphology of the EbSe-treated infected cells was similar to that of oxPAPC-in-duced cells.Western blot results showed the expres-sion of Txnrd1 protein in EbSe-treated infected cells in-creased.Conclusion EbSe exerts anti-E.coli acute infection effect by regulating macrophage polarization and inhibiting macrophage excessive inflammatory state.

Liquiritigenin(LG)is a flavone of pharmacological importance,however,its application potential is severely limited due to its poor water solubility.LG could be disassociated slightly in water to form phenolate anion,therefore,better solubilization effect is expected by inclusion with cationic cyclodextrins(CCDs).In this work,four kinds of CCDs modified with amino groups at the primary face were synthesized,and their solid inclusion complexes with LG were successfully prepared by preparing their saturated solutions.The formation of the solid inclusion complexes was confirmed by scanning electron microscopy(SEM)and powder X-ray diffraction(PXRD),and their supramolecular binding behavior in solution was studied using multiple techniques.A 1∶1 inclusion stoichiometry of inclusion complexation was defined using Job plot by ultraviolet-visible(UV-vis)spectroscopy,and their binding stability constants(Ks)were determined as 2862.77,3494.70,6521.85 and 9599.48 L/mol using UV-vis spectroscopic titration,far more superior to that of nativeβ-CD(Ks=236.79 L/mol).This indicated that the amino side chains on CCDs could actively participate in the inclusion complexation through anion-cation interactions,significantly strengthening the host-guest binding between CCDs and LG.The inclusion modes were further elucidated based on proton and two-dimensional rotating-frame overhauser enhancement spectroscopy(2D-ROESY)nuclear magnetic resonance(NMR)experiments and molecular docking.Water solubility of LG was dramatically promoted up to 4.9 mg/mL,which was 70-fold higher than that of native LG.This study could draw inspiration for the binding and solubilization of phenols such as flavones by design of cationic macrocyclic molecules.

A 62-year-old male, was admitted to the hospital, with a chief complaint of fever lasting over 10 days and leukopenia and thrombocytopenia for 2 days. Ten days prior to admission, the patient experienced intermittent fever without obvious incentive factors. The breath sounds in both lungs were coarse, without accompanying dry or moist rales. Color Doppler Ultrasound indicated mild splenomegaly and multiple lymphadenectasis in the bilateral cervical, axillary, and inguinal regions. Morphological examination of bone marrow cells demonstrated abnormally large blasts, with some of the nuclei being rather irregular and cytoplasmic vacuoles. Immunophenotyping results identified this group of blast cells as immature monocytes. Karyotype analysis of chromosomes showed clonal abnormalities, with 19 out of 20 cells exhibiting near-tetraploid karyotypes, including complex karyotypic abnormalities involving chromosome17.Targeted next-generation sequencing (NGS) detected gene mutations associated with hematological malignancies that have definite or potential clinical significance,including TP53, SRSF2, STAG2, and ARID2, with variant allele frequencies (VAF) of 63.10%, 30.30%, 0.80%, and 0.60%, respectively. Integrating laboratory findings, the diagnosis was diagnosed as AML-M5 at high-risk. After receiving chemotherapy with the regimen of azacitidine combined with venetoclax, the patient passed away more than 20 days later.

Objective:To explore the clinical value of multi-parameter combined monitoring in guiding low-molecular-weight heparin (LMWH) therapy for intensive care unit (ICU) patients.Methods:A retrospective case-control study was conducted. A total of 381 patients who received LMWH therapy with anti-Ⅹa activity monitoring in the ICU of West China Hospital, Sichuan University between January 31st, 2022, and November 30th, 2023, were enrolled in this study. The cohort comprised 264 males and 117 females, with the age of 58 (48, 71) years old. Clinical data and relevant laboratory parameters were collected, including anti-Ⅹa activity, antithrombin activity (AT), thrombin-antithrombin complex (TAT), plasmin-antiplasmin complex (PIC), conventional coagulation parameters such as activated partial thromboplastin time (APTT), and indicators of hepatic/renal impairment such as alanine aminotransferase (ALT) and creatinine( CREA). Patients were stratified into three groups based on thrombotic event: thrombosis-controlled, progressive thrombosis, and bleeding group. Single-factor and adjusted multifactorial Logistic regression analysis were used to identify independent predictors of anti-xa activity levels.Results:Among 381 patients, thrombosis was controlled in 213 (55.9%) patients, progressed in 81 (21.3%) patients , and bleeding events occurred in 87 (22.8%) patients. The patients whose anti-Ⅹa activity levels lay entirely within the target range(0.2-0.4 IU/ml): Only 35 (16.4%) cases in the thrombosis-controlled group, 16 (19.7%) cases in the progressive thrombosis group, and 16 (18.4%) in the bleeding group. No significant differences in anti-Ⅹ a levels activity among the three groups ( H=1.678, P=0.432). Both single-factor and adjusted multifactorial Logistic regression identified low AT activity as an independent risk factor for failure to achieve target anti-Ⅹ a activity levels (AT nadir, OR=1.031,95% CI 1.016-1.046, P<0.05). Compared with the progressive thrombosis and bleedinggroup, the thrombosis-controlled group exhibited significantly higher proportion of TAT values below the cut-off value ( H=8.519, P=0.014), and a higher proportion of TAT/PIC ratios below the cut-off ( H=15.56, P<0.001). Patients with bleeding demonstrated significantly lower AT activity ( H=14.968, P=0.001), prolonged APTT ( H=6.815, P=0.033), higher ALT ( H=13.774, P=0.001), and higher CREA ( H=14.068, P=0.001) compared with the thrombosis-controlled or progressive thrombosis group. Conclusion:Laboratory monitoring is required for low-molecular-weight heparin (LMWH) therapy in ICU patients. While anti-Ⅹa activity reflects the anticoagulant effect of LMWH, the utility of anti-Ⅹ a activity for predicting thrombotic or hemorrhagic risks in LMWH treated ICU patients is limited. Reductions in TAT levels and TAT/PIC ratios are associated with a lower risk of thrombotic progression. Furthermore, abnormalities in conventional coagulation tests and standard hepatic/renal function parameters occur more frequently in patients experiencing hemorrhagic events.

Objective:To investigate the feasibility of the bortezomib, lenalidomide, and dexamethasone (VRD) regimen combined with autologous hematopoietic stem cell transplantation (auto-HSCT) in patients with multiple myeloma (MM) and renal impairment, analyze treatment efficacy and renal responses stratified based on renal dysfunction severity, and explore the prognostic significance of early renal response and its affecting factors.Methods:This retrospective study, conducted at the First Affiliated Hospital of Soochow University, categorized 316 patients with newly diagnosed MM (NDMM) from August 2018 to October 2022 based on renal function for analysis of clinical characteristics, treatment response, and prognosis. Continuous variables were compared using t-tests or Mann-Whitney U tests, categorical variables utilizing Chi-square tests, survival outcomes employing Kaplan-Meier and Log-rank tests, and renal response predictors with logistic regression.Results:Patients were stratified based on baseline estimated glomerular filtration rate (eGFR) : normal [≥90 ml·min -1· (1.73 m 2) -1, n=160], mild [≥60 ml·min -1· (1.73 m 2) -1 to <90 ml·min -1· (1.73 m 2) -1, n=55], moderate [≥30 ml·min -1· (1.73 m 2) -1 to <60 ml·min -1· (1.73 m 2) -1, n=39], and severe impairment [<30 ml·min -1· (1.73 m 2) -1, n=62]. Moderate and severe renal impairment correlated with advanced International Staging System/Revised International Staging System classification, lower hemoglobin levels, frailty, and higher light-chain/IgD subtype prevalence ( P<0.05). Despite younger age ( P=0.001) and higher transplant rates ( P=0.041) in severe cases, overall response rates ( ORR: 93.7% ; ≥VGPR: 82.9% ) were comparable across groups ( P>0.05). Among 24 dialysis-dependent patients at diagnosis, 11 (45.8% ) achieved dialysis independence after induction [median: 3.0 (0.5–4.0) months], including 10 undergoing auto-HSCT. In 89 evaluable patients [baseline eGFR <50 ml·min -1· (1.73 m 2) -1], renal ORR (RORR) was 70.8% [rapid complete response: 31.5% ; rapid partial response: 11.2% ; rapid minimal response (RMR) : 28.1% ]. Renal response predicted better survival (overall survival: HR=0.36, 95% CI: 0.13–0.99, P=0.049). Moderate-to-severe renal impairment was associated with increased transplant-related adverse events and delayed engraftment ( P<0.05) ; however, auto-HSCT significantly improved outcomes after 33.5-month median follow-up (range: 2–65 months). Multivariate analysis identified 1q21+ ( OR=3.58, 95% CI: 1.17–11.02, P=0.026) and light-chain subtype ( OR=2.86, 95% CI: 1.08–7.69, P=0.036) as independent predictors of poor renal response. Conclusion:VRD regimen plus auto-HSCT demonstrates robust efficacy in NDMM, including patients with renal impairment, with a 70.8% RORR and manageable toxicity. Achieving ≥RMR correlates with superior prognosis, whereas 1q21+ and light-chain subtype independently predict inferior renal response.

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.