Dialectical behavior therapy （DBT） is one of the empirically supported therapeutic approaches for borderline personality disorder （BPD）. By integrating behaviorism， dialectical philosophy， biosocial theory and Zen principles， DBT aims to enhance patients' emotional regulation， interpersonal effectiveness and distress tolerance， thereby alleviating BPD symptoms. This article systematically reviews the theoretical foundations of DBT and its research progress in BPD treatment， to Delve into the intervention effects of DBT， as well as the adjuvant role of pharmacotherapy and physiotherapy in enhancing DBT for BPD， and analyzes the challenges faced in DBT research and clinical application. The findings are expected to provide new insights for the localization and theoretical research of DBT in China.

Objective: To explore the associations between caregivers nutrition literacy and pediatric nonalcoholic fatty liver disease (NAFLD), so as to provide scientific evidence for the key contents of family intervention measures. Methods: In September 2022, a study involving 1 609 thirdgrade students and their caregivers from six schools in Yinzhou, Haishu, and Zhenhai Districts of Ningbo City, Zhejiang Province, was conducted. Venous blood samples were collected to measure lipid profiles and investigate the prevalence of nonalcoholic fatty liver disease (NAFLD) among the children. Family Food Environment Questionnaire was used to assess the nutrition literacy levels of the caregivers. Generalized linear regression analysis was employed to explore the correlation between caregivers nutrition literacy levels and the prevalence of NAFLD in children. Results: Among the surveyed students, 191 were in the NAFLD group, whereas 1 418 were in the nonNAFLD group. The median nutrition literacy score of caregivers in the NAFLD group and nonNAFLD group all were 11.00 (9.00,12.00), which was not significantly different (Z=-0.40, P=0.71). The generalized linear regression results revealed that the level of nutrition literacy of caregivers had no significant effect on childrens Triglyceride-glucose (TyG) index and Triglyceride-glucose-Waisttoheight ratio (TyG-WHtR) [β(95%CI) were 0.001(-0.005-0.006) and 0.000(-0.014-0.014), P>0.05]. Conclusions The nutrition literacy level of caregivers has no significant correlation with the direct incidence of NAFLD in children. As for family intervention measures, it is necessary not only to improve the nutrition literacy level of caregivers but also to effectively apply nutritional knowledge in practice to optimize health management.

BACKGROUND: T-cell lymphoblastic lymphoma/acute lymphoblastic leukemia (T-LBL/ALL) is an aggressive form of hematological malignancy associated with poor prognosis in adult patients. Histone deacetylases (HDACs) are aberrantly expressed in T-LBL/ALL and are considered potential therapeutic targets. Here, we investigated the antitumor effect of a novel HDAC inhibitor, chidamide, on T-LBL/ALL. METHODS: HDAC1, HDAC2 and HDAC3 levels in T-LBL/ALL cell lines and patient samples were compared with those in normal controls. Flow cytometry, transmission electron microscopy, and lactate dehydrogenase release assays were conducted in Jurkat and MOLT-4 cells to assess apoptosis and pyroptosis. A specific forkhead box O1 (FOXO1) inhibitor was used to rescue pyroptosis and upregulated gasdermin E (GSDME) expression caused by chidamide treatment. The role of the FOXO1 transcription factor was evaluated by dual-luciferase reporter and chromatin immunoprecipitation assays. The efficacy of chidamide in vivo was evaluated in a xenograft mouse. RESULTS: The expression of HDAC1, HDAC2 and HDAC3 was significantly upregulated in T-LBL/ALL. Cell viability was obviously inhibited after chidamide treatment. Pyroptosis, characterized by cell swelling, pore formation on the plasma membrane and lactate dehydrogenase leakage, was identified as a new mechanism of chidamide treatment. Chidamide triggered pyroptosis through caspase 3 activation and GSDME transcriptional upregulation. Chromatin immunoprecipitation assays confirmed that chidamide led to the increased transcription of GSDME through a more relaxed chromatin structure at the promoter and the upregulation of FOXO1 expression. Moreover, we identified the therapeutic effect of chidamide in vivo . CONCLUSIONS This study suggested that chidamide exerts an antitumor effect on T-LBL/ALL and promotes a more inflammatory form of cell death via the FOXO1/GSDME axis, which provides a novel choice of targeted therapy for patients with T-LBL/ALL.
Humans ; Pyroptosis/drug effects* ; Forkhead Box Protein O1/genetics* ; Aminopyridines/pharmacology* ; Animals ; Mice ; Benzamides/pharmacology* ; Cell Line, Tumor ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Phosphate-Binding Proteins/metabolism* ; Histone Deacetylase Inhibitors/pharmacology* ; Jurkat Cells ; Histone Deacetylases/metabolism* ; Apoptosis/drug effects* ; Gasdermins

ObjectiveTo explore the main mechanism of self-precipitation formed during the decoction of Sinitang（SNT）， and to provide a research basis for exploring the differences in the toxic and effective components of this compound. MethodsThe average precipitation yields of SNT， Glycyrrhizae Radix et Rhizoma（GRR）-Aconiti Lateralis Radix Praeparata（ALRP） decoction（GF）， ALRP-Zingiberis Rhizoma（ZR） decoction（FJ）， GRR-ZR decoction（GJD）， ALRP decoction（FZ）， ZR decoction（GJ） and GRR decoction（GC） were determined. The four main self-precipitation samples of SNT， GF， FZ and GC were physically characterized by particle size， scanning electron microscopy（SEM）， pH， total dissolved solids（TDS）， conductivity， and Fourier transform infrared spectroscopy（FT-IR） analysis. The chemical compositions of SNT decoction and its different phases was identified by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） for SNT， SNT self-precipitation and SNT supernatant， and the contents of its main toxic and effective components were determined by high performance liquid chromatography（HPLC）. ResultsPrecipitation yield results of the 7 samples of SNT decoction and single decoction showed that SNT had the highest self-precipitation yield. The formation of SNT self-precipitation was mainly related to the reaction between ALRP and GRR components to form complexes， and FT-IR showed that GRR had the greatest influence on the formation of self-precipitation. A total of 110 components were identified in the SNT decoction， including 100 components in the SNT self-precipitation and 106 components in the SNT supernatant. And quantitative results of the main toxic and effective components revealed that the reaction between ALRP and GRR components formed complexes， resulting in the following content hierarchy for free components：SNT decoctionsupernatantself-precipitation， these components included free liquiritin， benzoylmesaconine， benzoylaconitine， benzoylhypacoitine， liquiritigenin， aconitine， hypoaconitine， isoliquiritigenin and ammonium glycyrrhizinate. ConclusionSNT exhibits spontaneous precipitation during compound decoction， with GRR exerting the greatest influence on its formation. This suggests GRR plays a significant role in the detoxification of SNT. The differences in the self-precipitated toxic-effective components of SNT compound decoction primarily manifest as changes in component content， reflecting the characteristics of SNT "deposition in vitro and sustained release in vivo" and the importance of "administered at draught" in the clinical application of SNT.

To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective To investigate the molecular mechanism through which calenduloside E inhibits hepatocellular carcinoma(HCC)cell proliferation and migration.Methods HCC cell lines HepG2 and Huh7 treated with calenduloside E were examined for changes in cell viability using CCK-8 assay and expressions of GPX4,SLC7A11,LC3,P62 and phosphorylation of Akt/mTOR using Western blotting.The effects LY294002 and Rapamycin(the inhibitor and activator of autophagy,respectively)on proliferation and migration of calenduloside E-treated HCC cells were evaluated using EdU and Transwell assays.The TCGA database was used to explore the expression levels of GPX4 and SLC7A11 in HCC and normal liver tissues and their correlation with the patients'survival outcomes.GPX4 and SLC7A11 expressions were also detected in HCC cells and normal hepatocytes using RT-qPCR and Western blotting.Results Calenduloside E obviously inhibited the viability of HCC cells.GPX4 and SLC7A11 were highly expressed in HCC tissues and cell lines,and their expression levels were negatively correlated with the patients'survival.In HCC cell lines,calenduloside E significantly inhibited the expressions of GPX4 and SLC7A11 proteins,activated the Akt-mTOR pathway,and enhanced the expression of LC3 II.The inhibitory effect of calenduloside E on GPX4 and SLC7A11 expressions was significantly enhanced by rapamycin but attenuated by LY294002.Inhibiting the autophagy pathway obviously diminished the inhibitory effect of calenduloside E on proliferation and migration of HCC cells,while activating this pathway produced the opposite effect.Conclusion Calenduside E inhibits the proliferation and migration of HCC cells by down-regulating GPX4 and SLC7A11 expression via the autophagy pathway.

Objective To investigate the molecular mechanism through which calenduloside E inhibits hepatocellular carcinoma(HCC)cell proliferation and migration.Methods HCC cell lines HepG2 and Huh7 treated with calenduloside E were examined for changes in cell viability using CCK-8 assay and expressions of GPX4,SLC7A11,LC3,P62 and phosphorylation of Akt/mTOR using Western blotting.The effects LY294002 and Rapamycin(the inhibitor and activator of autophagy,respectively)on proliferation and migration of calenduloside E-treated HCC cells were evaluated using EdU and Transwell assays.The TCGA database was used to explore the expression levels of GPX4 and SLC7A11 in HCC and normal liver tissues and their correlation with the patients'survival outcomes.GPX4 and SLC7A11 expressions were also detected in HCC cells and normal hepatocytes using RT-qPCR and Western blotting.Results Calenduloside E obviously inhibited the viability of HCC cells.GPX4 and SLC7A11 were highly expressed in HCC tissues and cell lines,and their expression levels were negatively correlated with the patients'survival.In HCC cell lines,calenduloside E significantly inhibited the expressions of GPX4 and SLC7A11 proteins,activated the Akt-mTOR pathway,and enhanced the expression of LC3 II.The inhibitory effect of calenduloside E on GPX4 and SLC7A11 expressions was significantly enhanced by rapamycin but attenuated by LY294002.Inhibiting the autophagy pathway obviously diminished the inhibitory effect of calenduloside E on proliferation and migration of HCC cells,while activating this pathway produced the opposite effect.Conclusion Calenduside E inhibits the proliferation and migration of HCC cells by down-regulating GPX4 and SLC7A11 expression via the autophagy pathway.

Objective:To obsere the clinical efficacy of Hall technology in the treatment of primary molar caries in children with au-tism.Methods:80 children aged 4-8 years with primary molar caries,40 normal children and 40 children with autism,with a total of 153 primary molars.The normal and the autism children were respectively divided into 2 groups(n=20)randomly.The normal children were grouped into resin filling(CR)of 38 teeth and Hall technology group(CH)of 39 teeth,the autistic children were grouped into resin filling(AR)of 37 teeth and Hall technology group(AH)of 38 teeth.Corresponding treatment was given to the pa-tients in the groups.The duration of oral treatment time,Frankl scores,Houpt scores and parental satisfaction scoves were compaired among groups.The patients were followed up for 6,12,18 and 24 months and the treatment outcomes were compared among groups.Results:There was no statistically difference between CH group and AH group in terms of operating time,compliance,Houpt score and follow-up effects(P＞0.05).The satisfaction of parents in the AR group was the lowest(P＜0.05).Hall technology treatment re-mained effective rate was higher than resin filling at the 24 month follow-up(P＜0.05).Conclusion:Hall technology is more effective than traditional resin filling in the treatment of primary molars caries in children with autism.

Objective:To analyze the role of dandelion and mulberry leaf in the progression of acute myeloid leukemia(AML)by network pharmacology,and to clarify the active components and their mechanisms in treating AML.Methods:The active components of dandelion and mulberry leaf were screened by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).The targets were predicted by SwissTargetPrediction Database.The AML-related genes and protein targets were retrieved from the SymMap Database,the GeneCards Human Gene Database,the DisGeNET Database,and the Online Mendelian Inheritance in Man(OMIM)Database.The AML-related genes and target genes of dandelion and mulberry leaf were compared by comparative analysis and were identify by the enrichment genes,followed by Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis.The drug-active component-target network and protein-protein interaction(PPI)network were constructed by Cytoscape 3.8.0 software,and the core genes were selected by CytoNCA plugin;the molecular docking was conducted by AutoDock software.Results:After filtering by databases,39 active components were identified,and 148 common targets between dandelion-mulberry leaf and AML were collected.The GO functional enrichment analysis mainly involved cytokine-mediated signaling pathways,positive regulation of kinase activity,and oxidative stress responses.The KEGG signaling pathway enrichment analysis focused on the phosphatidylinositol 3 kinase/protein kinase B(PI3K-AKT)signaling pathway,the tumor necrosis factor(TNF)signaling pathway,and the Janus kinase/signal transducer and activator of transcription(JAK-STAT)signaling pathway.The key targets were identified by topological analysis including signal transducer and activator of transcription 3(STAT3),epidermal growth factor receptor(EGFR),protein kinase B1(AKT1),recombinant human epidermal growth factor(EGF),vascular endothelial growth factor A(VEGFA),oncogene MYC,tumor protein P53(TP53),mitogen-activated protein kinase 3(MAPK3),cysteiny asparate specific protease-3(CASP3),oncogene SRC,heat shock protein 90 alpha family class A member 1(HSP90AA1),tenascin XB1(CTNNB1),phosphoinositide kinase-3 catalytic subunit alpha(PIK3CA),interleukin 6(IL-6),TNF,mitogen-activated protein kinase 1(MAPK1),and phosphatidylinositide kinase-3 regulatory subunit 1(PIK3R1).The molecular docking results showed the highest affinity pairing to be taraxerol with MYC(-8.74 kcal·mol-1),and quercetin,kaempferol,luteolin,and artemetin demonstrated good binding affinities with various targets.Conclusion:The main active components of dandelion-mulberry leaf,such as quercetin,taraxerol,kaempferol,luteolin,and artemetin,may exert the anti-AML effect by regulating AKT1,STAT3,HSP90AA1,IL-6,and MAPK1;regulation the PI3K-AKT signaling pathway may be the critical mechanism of anti-AML effect by dandelion-mulberry leaf.