The chemical constituents in dried roots of Atractylodes macrocephala were investigated in this study. Through utilizing normal-phase silica gel and ODS column chromatography, TLC, and semi-preparative HPLC, 4 new sesquiterpenoids were purified from the ethyl acetate extract of A. macrocephala. By various spectroscopic techniques, such as 1D and 2D NMR, HR-ESI-MS, IR, UV, and CD, their structures were identified as atractylmacron A (1), 9β-hydroxyasterolide (2), atractylenolide H (3), atractylenolide J (4). Compound 1 possesses a rare 6/7 bicyclic skeleton.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective: To investigate the potential protective effect of Shexiang Tongxin dropping pills (STDP) on ischemia-reperfusion injury and its underlying mechanisms in improving endothelial cell function in coronary microvascular disease (CMVD). Methods: A rat model of myocardial ischemia-reperfusion injury with CMVD was established using ligation and reperfusion of the left anterior descending artery. The effect of STDP (21.6 mg/kg) on cardiac function was evaluated using echocardiography, hematoxylin-eosin staining, and Evans blue staining. The effects of STDP on the microvascular endothelial barrier were assessed based on nitric oxide production, endothelial nitric oxide synthase expression, structural variety of tight junctions (TJs), and the expression of zonula occludens-1 (ZO-1), claudin-5, occludin, and vascular endothelial (VE)-cadherin proteins. The mechanisms of STDP (50 and 100 ng/mL) were evaluated by examining the expression of sphingosine 1-phosphate receptor 2 (S1PR2), Ras Homolog family member A (RhoA), and Rho-associated coiled-coil-containing protein kinase (ROCK) proteins and the distribution of ZO-1, VE-cadherin, and F-actin proteins in an oxygen and glucose deprivation/reoxygenation model. Results: The administration of STDP on CMVD rat model significantly improved cardiac and microvascular endothelial cell barrier functions (all P < .05). STDP enhanced the structural integrity of coronary microvascular positioning and distribution by clarifying and completing TJs and increasing the expression of ZO-1, occludin, claudin-5, and VE-cadherin in vivo (all P < .05). The S1PR2/RhoA/ROCK pathway was inhibited by STDP in vitro, leading to the regulation of endothelial cell TJs, adhesion junctions, and cytoskeletal morphology. Conclusion STDP showed protective effects on cardiac impairment and microvascular endothelial barrier injury in CMVD model rats induced by myocardial ischemia-reperfusion injury through the modulation of the S1PR2/RhoA/ROCK pathway.

OBJECTIVE: To screen anti-tumor drugs that improve antigen processing and presentation in acute myeloid leukemia (AML) cells. METHODS: A TCR-like or TCR mimic antibody that can specifically recognize HLA-A*0201:WT1_126-134 ( RMFPNAPYL) complex (hereafter referred to as HLA-A2:WT1) was synthesized to evaluate the function of antigen processing and presentation machinery (APM) in AML cells. AML cell line THP1 was incubated with increasing concentrations of IFN-γ, hypomethylating agents (HMA), immunomodulatory drugs (IMiD), proteasome inhibitors (PI) and γ-secretase inhibitors (GSI), followed by measuring of HLA-ABC, HLA-A2 and HLA-A2:WT1 levels by flow cytometry at consecutive time points. RESULTS: The TCR-like antibody we generated only binds to HLA-A*0201⁺WT1⁺ cells, indicating the specificity of the antibody. HLA-A2:WT1 level of THP-1 cells detected with the TCR-like antibody was increased significantly after co-incubation with IFN-γ, showing that the HLA-A2:WT1 TCR like antibody could evaluate the function of APM. Among the anti-tumor agents screened in this study, GSI (LY-411575) and HMA (decitabine and azacitidine) could significantly increase the HLA-A2:WT1 level. The IMiD lenalidomide and pomalidomide could aslo upregulate the expression of HLA-A2:WT1 complex under certain concentrations of the drugs and incubation time. As proteasome inhibitors, carfilzomib could significantly decreased the expression of HLA-A2:WT1, while bortezomib had no significant effect on HLA-A2:WT1 expression. CONCLUSION HLA-A2:WT1 TCR-like antibody can effectively reflect the APM function. Some of the anti-tumor drugs can affect the APM function and immunogenicity of tumor cells.
Humans ; Leukemia, Myeloid, Acute/immunology* ; Antineoplastic Agents/pharmacology* ; Antigen Presentation/drug effects* ; HLA-A2 Antigen/immunology* ; Receptors, Antigen, T-Cell/immunology* ; Cell Line, Tumor ; Interferon-gamma

OBJECTIVE: To elucidate how spinal manipulative therapy (SMT) exerts its analgesic effects through regulating brain function in lumbar disc herniation (LDH) patients by utilizing resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: From September 2021 to September 2023, we enrolled LDH patients (LDH group, n=31) and age- and sex-matched healthy controls (HCs, n=28). LDH group underwent rs-fMRI at 2 distinct time points (TPs): prior to the initiation of SMT (TP1) and subsequent to the completion of the SMT sessions (TP2). SMT was administered once every other day for 30 min per session, totally 14 treatment sessions over a span of 4 weeks. HCs did not receive SMT treatment and underwent only one fMRI scan. Additionally, participants in LDH group completed clinical questionnaires on pain using the Visual Analog Scale (VAS) and the Japanese Orthopedic Association (JOA) score, whereas HCs did not undergo clinical scale assessments. The effects on the brain were jointly characterized using the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo). Correlation analyses were conducted between specific brain regions and clinical scales. RESULTS: Following SMT treatment, pain symptoms in LDH patients were notably alleviated and accompanied by evident activation of effects in the brain. In comparison to TP1, TP2 exhibited the most significant increase in ALFF values for Temporal_Sup_R and the most notable decrease in ALFF values for Paracentral_Lobule_L (voxelwise P<0.005; clusters >30; FDR correction). Additionally, the most substantial enhancement in ReHo values was observed for the Cuneus_R, while the most prominent reduction was noted for the Olfactory_R (voxelwise P<0.005; clusters >30; FDR correction). Moreover, a comparative analysis revealed that, in contrast to HCs, LDH patients at TP1 exhibited the most significant increase in ALFF values for Temporal_Pole_Sup_L and the most notable decrease in ALFF values for Frontal_Mid_L (voxelwise P<0.005; clusters >30; FDR correction). Furthermore, the most significant enhancement in ReHo values was observed for Postcentral_L, while the most prominent reduction was identified for ParaHippocampal_L (voxelwise P<0.005; clusters >30; FDR correction). Notably, correlation analysis with clinical scales revealed a robust positive correlation between the Cuneus_R score and the rate of change in the VAS score (r=0.9333, P<0.0001). CONCLUSIONS Long-term chronic lower back pain in patients with LDH manifests significant activation of the "AUN-DMN-S1-SAN" neural circuitry. The visual network, represented by the Cuneus_R, is highly likely to be a key brain network in which the analgesic efficacy of SMT becomes effective in treating LDH patients. (Trial registration No. NCT06277739).
Humans ; Magnetic Resonance Imaging ; Intervertebral Disc Displacement/diagnostic imaging* ; Male ; Female ; Brain/diagnostic imaging* ; Adult ; Manipulation, Spinal/methods* ; Middle Aged ; Lumbar Vertebrae/physiopathology* ; Pain Management ; Rest ; Case-Control Studies

The density and composition of lymphocytes infiltrating colon tumors serve as predictive factors for the clinical outcome of colon cancer.Our previous studies highlighted the potent anti-cancer properties of the principal compounds found in Garcinia yunnanensis(YTE-17),attributing these effects to the regu-lation of multiple signaling pathways.However,knowledge regarding the mechanism and effect of YTE-17 in the prevention of colorectal cancer is limited.In this study,we conducted isobaric tags for relative and absolute quantification(iTRAQ)analysis on intestinal epithelial cells(IECs)exposed YTE-17,both in vitro and in vivo,revealing a significant inhibition of the Wnt family member 5a(Wnt5a)/c-Jun N-terminal kinase(JNK)signaling pathway.Subsequently,we elucidated the influence and mechanism of YTE-17 on the tumor microenvironment(TME),specifically focusing on macrophage-mediated T helper 17(Th17)cell induction in a colitis-associated cancer(CAC)model with Wnt5a deletion.Additionally,we performed the single-cell RNA sequencing(scRNA-seq)on the colonic tissue from the Wnt5a-deleted CAC model to characterize the composition,lineage,and functional status of immune mesenchymal cells during different stages of colorectal cancer(CRC)progression.Remarkably,our findings demon-strate a significant reduction in M2 macrophage polarization and Th17 cell phenotype upon treatment with YTE-17,leading to the restoration of regulatory T(Treg)/Th17 cell balance in azoxymethane(AOM)/dextran sodium sulfate(DSS)model.Furthermore,we also confirmed that YTE-17 effectively inhibited the glycolysis of Th17 cells in both direct and indirect co-culture systems with M2 macrophages.Notably,our study shed light on potential mechanisms linking the non-canonical Wnt5a/JNK signaling pathway and well-established canonical β-catenin oncogenic pathway in vivo.Specifically,we proposed that Wnt5a/JNK signaling activity in IECs promotes the development of cancer stem cells with β-catenin activity within the TME,involving macrophages and T cells.In summary,our study undergoes the po-tential of YTE-17 as a preventive strategy against CRC development by addressing the imbalance with the immune microenvironment,thereby mitigating the risk of malignancies.

Objective:To explore the clinical characteristics and risk factors of cytomegalovirus(CMV)and Epstein-Barr virus(EBV)co-reactivation after allogeneic hematopoietic stem cell transplantation(allo-HSCT)and its influence on prognosis.Methods:The clinical data of 222 patients who received allo-HSCT from January 2015 to December 2020 were collected,and the patients were divided into groups according to the occurrence of CMV and EBV infection.Kaplan-Meier method was used for survival analysis,and Cox proportional hazard regression model was used to analyze the risk factors of co-reactivation of CMV and EBV.Results:After allo-HSCT,there were 30 patients with co-reactivation of CMV and EBV(CMV++EBV+group),101 patients with CMV viremia(CMV+group),149 patients with EBV viremia(EBV+group),and 28 patients with CMV and EBV inactivation(CMV-+EBV-group).Compared with the other groups,the incidence of acute graft-versus-host disease(aGVHD)and hemorrhagic cystitis(HC)was higher in CMV++EBV+groups(53.3％vs 42.6％,36.9％,17.9％,P＜0.001;36.7％vs 32.7％,22.8％,10.7％,P=0.042).The incidence of post-transplant lymphoproliferative disease(PTLD)in CMV++EBV+group was similar to CMV+group and EBV+group(3.3％vs 3.0％,3.4％,P=0.811).Univariate and multivariate analysis showed that the persistent time of CMV and EBV after transplantation were independent risk factors for co-reactivation of CMV and EBV.Compared with the other groups,the 2-year overall survival(OS)rate and 2-year disease-free survival(DFS)rate of patients inCMV++EBV+group were lower(46.7％vs 74.9％,83.4％,71.4％,P＜0.001;46.7％vs 70.9％,79.5％,69.9％,P=0.002),and 2-year non-recurrence mortality(NRM)was higher(48.2％vs 22％,13.6％,18.7％,P＜0.001).Conclusion:The persistent time of CMV and EBV after transplantation are independent risk factors for patients with co-reactivation of CMV and EBV.Patients with co-reactivation of CMV and EBV had lower OS and DFS rate and higher NRM,suggesting that the clinical prognosis of the patients are worse.

Objective:To investigate the role of levofloxacin combined with recombinant human granulocyte colony-stimulating factor(G-CSF)or only G-CSF supportive therapy in preventing infection in autologous hematopoietic stem cell transplantation(ASCT),and to analyze the length of hospital stay,hospitalization cost and post-transplant survival of the patients.Methods:A retrospective analysis was performed in the patients with hematological malignancies who accepted ASCT at our hospital from January 2012 to July 2022,the febrile neutropenia,the incidence of bacterial infection and the use rate of intravenous antibiotics in the levofloxacin+G-CSF group and only G-CSF support group during ASCT were observed.The length of hospital stay,total cost during hospitalization and survival after 90 days of transplantation between the two groups were compared.Results:A total of 102 cases were included in this study,including 57 cases of multiple myeloma,36 cases of acute leukaemia,7 cases of lymphoma,3 cases of myelodysplastic syndrome,1 case of light chain amyloidosis,and 1 case of POEMS syndrome.47 patients received levofloxacin+G-CSF antibacterial prophylaxis,and 55 patients received G-CSF supportive therapy.In the levofloxacin+G-CSF group,40 cases(85.11％)developed febrile neutropenia,and 13 cases(27.66％)were confirmed as bacterial infection.In the G-CSF group,44 cases(80.00％)developed febrile neutropenia,and 16 cases(29.09％)were bacterial infection.There was no statistically significant difference in the incidence of febrile neutropenia and bacterial infection between the two groups(x2=0.46,P=0.50;x2=0.03,P=0.87).The use rate of intravenous antibiotics in the levofloxacin+G-CSF group was 85.11％(40/47),which was not statistically different from 85.45％(47/55)in the G-CSF group(X2=0.04,P=0.84).The detection rates of levofloxacin-resistant bacteria in the levofloxacin+G-CSF group and G-CSF group were 8.57％(3/35)and 21.43％(6/28),respectively,with no statistical difference(x2=0.65,P＞0.05).The median length and median cost of hospitalization in the levofloxacin+G-CSF group and G-CSF group were 25 d vs 22 d and 78 216.24 yuan vs 80 724.38 yuan,with no statistically significant differences(t=3.00,P=0.09;t=0.94,P=0.09).Within 90 days after transplantation,two cases(4.26％)died in the levofloxacin+G-CSF group and one case(1.82％)died in the G-CSF group,with no statistically significant difference between the two groups(x2=0.53,P=0.47).Conclusion:Application of levofloxacin+G-CSF showed no significant benefit compared to G-CSF support for the prevention of bacterial infections during ASCT.

Objective:To evaluate the clinical characteristics and risk factors of infections occurring during hospitalization in patients with multiple myeloma (MM) treated with new generation therapies (including immuno-modulatory drugs,proteasome inhibitors and monoclonal antibodies).Methods:The clinical data were collected from 155 patients with multiple myeloma who were treated in Shanxi Bethune Hospital from March,2017 to March,2022 and were retrospectively analyzed.For this study,the following therapies were considered to be new generation therapies:lenalidomide,pomadomide,bortezomib,ixazomib,daratumumab. The clinical characteristics and risk factors of infection were analyzed.Results:A total of 155 patients were included in this study.The median follow-up time was 20 months.Of 155 patients with MM,242 infection episodes were identified.Among the 242 infections,the incidence of clinically defined infection (CDI)was the highest (186,76.86％),followed by microbiologically defined infection (MDI)in 50 cases (20.66％),and fever at unknown focus (FUF)in 6 cases (2.48％).35 cases (14.46％)of bacteria,10 cases (4.13％)of viruses,and 5 cases (2. 07％)of fungi were clearly infected.The most common site of infection was the lower respiratory tract in 90 cases (37.19％),the upper respiratory tract in 83 cases (34.30％),and the digestive tract in 27 cases (11.16％).All-cause mortality was 8.39％(13/155).In univariate analysis,there was a higher correlation between ISS stage Ⅲ,the number of treatment lines ≥2,frail and infected patients with multiple myeloma.In multivariate analysis,ISS stage Ⅲ(OR=2.96,95％CI:1.19-7.40,P=0.02),the number of treatment lines ≥2 (OR=2.91,95％CI:1.13-7.51,P=0.03)and frail (OR=3.58,95％CI:1.44-8.89,P=0. 01)were risk factors for infection in patients with multiple myeloma in the era of new drugs.Conclusion:Patients with multiple myeloma treated with new agents are prone to bacterial infection during hospitalization.ISS stage Ⅲ,lines of therapy(≥2)and frail were associated with high risk for infection.