ObjectiveTo explore the value of a multimodal MRI-based radiomics nomogram for differentiating human epidermal growth factor receptor-2 （HER-2） negative breast cancer molecular subtypes.MethodsA retrospective analysis was conducted on 190 patients with HER-2 negative breast cancer who underwent multimodal MRI examination， and the patients were divided into two molecular subtype groups： a HER-2 low expression group （n=108） and a HER-2 zero expression group （n=82）. The cases were randomly stratified and sampled at a ratio of 7∶3 and divided into a training set of 133 cases and a testing set of 57 cases. The clinical and radiological features of the patients were collected， the radiomics features based on T2-weighted imaging （T2WI）， diffusion-weighted imaging （DWI）， and dynamic contrast-enhanced （DCE）-MRI were extracted， and the clinical-radiological model， unimodal radiomics model， multimodal radiomics model， and combined model were constructed respectively. Then the nomogram combined multimodal radiomics signature （radsocre） with clinical-radiological features was used to construct a visualized predictive model， and the area under the curve （AUC） was used to compare the effectiveness of different models in distinguishing HER-2 low expression and zero expression subtypes.ResultsA significant difference in radscore was demonstrated between the HER-2 low and HER-2 zero expression groups in both the training （P<0.000 1） and testing sets （P<0.01）. The AUC of the multimodal radiomics model in the training set and the testing set were 0.914 and 0.836， respectively， which was superior to any unimodal radiomics model. The nomogram demonstrated great diagnostic efficacy （AUC=0.930 in training set； AUC=0.865 in testing set）.ConclusionA multimodal MRI-based nomogram incorporating radsocre and clinical-radiological features can accurately distinguish the subtypes of HER-2 negative breast cancer.

OBJECTIVE To compare the efficacy and safety of evolocumab and probucol in patients with ultra-high-risk atherosclerotic cardiovascular disease （ASCVD） following percutaneous coronary intervention （PCI）. METHODS A retrospective analysis was conducted on 156 ultra-high-risk ASCVD patients who underwent PCI in our institution between January 1， 2023 and December 31， 2024. According to the lipid-lowering regimen， the patients were categorized into evolocumab group （ n ＝86） and probucol group （ n ＝70）. Changes in lipid parameters [total cholesterol （TC）， low-density lipoprot ein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， triglycerides， lipoprotein （a）， and lipid goal achievement rate ] ， inflammatory markers [interleukin-6 （IL-6） and C-reactive protein （CRP） ] ， and cardiac function indices （left ventricular ejection fraction， left ventricular end-systolic diameter， left ventricular end-diastolic diameter， and N-terminal pro-B-type natriuretic peptide） were compared between two groups at baseline and after 6 months of treatment. The incidence of adverse clinical events during treatment， including acute myocardial infarction， in-stent restenosis， acute heart failure， cerebral hemorrhage， and stroke， was also evaluated. RESULTS No statistically significant differences were observed between the two groups at baseline （ P ＞0.05）. After 6 months of treatment， both groups demonstrated significant improvements in lipid profiles （except HDL-C） and inflammatory markers compared to those at baseline （ P ＜0.05）. The evolocumab group exhibited greater reductions in TC， LDL-C， IL-6， and CRP， along with a higher lipid target achievement rate， compared with the probucol group （ P ＜0.05）. There were no statistically significant differences in the cardiac function-related indicators before and after treatment between the two groups， nor in the incidence of adverse events during the treatment （ P ＞0.05）. CONCLUSIONS For ultra-high-risk ASCVD patients after PCI， both of the above treatment options are associated with improvements in blood lipid and inflammatory response， with good safety during short-term follow-up. Evolocumab shows superior efficacy in TC， LDL-C and inflammatory markers reduction and lipid target achievement， compared to probucol.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

OBJECTIVE To establish a quality control method for Jinbei oral liquid based on multi-wavelength switching high performance liquid chromatography （HPLC） fingerprint， chemical pattern recognition and multi-index content determination. METHODS A total of 15 batches of Jinbei oral liquid were used as test samples. The Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （ Version 2012 ） was adopted to establish multi-wavelength switching HPLC fingerprints， followed by chromatographic peak identification and similarity evaluation. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were applied to conduct chemical pattern recognition on the 15 batches of samples. The multi-wavelength switching HPLC method was used to simultaneously determine the contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianoli c acid B and wogonoside in samples. RESULTS A total of 25 common peaks were calibrated in the fingerprints of 15 batches of Jinbei oral liquid， among which 7 common peaks were unambiguously identified. The similarity of all samples was higher than 0.960. Chemical pattern recognition results showed that samples S1-S8 were clustered into group 1， and samples S9-S15 were clustered into group 2. Baicalin， wogonoside， neochlorogenic acid， chlorogenic acid and salvianolic acid B were identified as the differential quality markers. The average contents of neochlorogenic acid， chlorogenic acid， cryptochlorogenic acid， forsythoside A， baicalin， salvianolic acid B and wogonoside in 15 batches of Jinbei oral liquid were 0.213 7， 0.085 3， 0.104 9， 0.287 3， 0.420 1， 0.062 1， 0.176 0 mg/mL， respectively. CONCLUSIONS The established quality control method for Jinbei oral liquid combining multi-wavelength switching HPLC fingerprint， chemical pattern recognition and multi-index content determination is stable and reliable， which can provide a reference for the formulation of quality standards of this preparation.

ObjectiveTo investigate the relationship between periodontitis severity and brain functional indices-amplitude of low-frequency fluctuations （ALFF） and fractional ALFF （fALFF） in cognitively normal middle-aged and older adults， and to examine their associations with cognitive performance. Methods42 cognitively normal middle-aged and older participants were enrolled. Periodontal data—including the number of remaining teeth （NTP）， bleeding on probing positivity rate （BOP%）， probing depth （PD）， and clinical attachment loss （CAL） as well as resting-state functional magnetic resonance imaging data were collected. Participants were divided into a mild periodontitis group and a moderate-to-severe periodontitis group according to periodontitis severity. Group differences in ALFF and fALFF were compared， and correlation analyses were performed. ResultsCompared with the mild periodontitis group， the moderate-to-severe group showed decreased ALFF values in the right lingual gyrus， superior occipital gyrus， paracentral lobule， and in the left calcarine cortex as well as the precentral and postcentral gyri. Decreased fALFF values were observed in the right lingual gyrus， cuneus， and left calcarine cortex. Indicators related to periodontitis progression ［BOP%， PD=4-5 mm （%）， PD≥6 mm （%）， CAL=3-4 mm （%） and CAL≥5 mm （%）］ were negatively correlated with ALFF， fALFF and cognitive performance， whereas indicators reflecting better periodontal function ［PD=1-3 mm （%） and CAL=0-2 mm （%）］ were positively correlated with these measures. ConclusionIn cognitively normal middle-aged and older adults， periodontitis severity is associated with alterations in brain functional activity and cognitive performance.

Chronic prostatitis/chronic pelvic pain syndrome （CP/CPPS） is a prevalent and complex condition in urology and one of the leading causes of chronic pelvic pain. Due to its prolonged duration and recurrent episodes，CP/CPPS significantly impacts patients' quality of life. Abnormal activation of the nuclear transcription factor-κB （NF-κB） pathway influences pathological processes such as the inflammatory response，oxidative stress，apoptosis，and tissue fibrosis in the body，thereby promoting the progression of CP/CPPS. Currently，Western medical therapies include antibiotics，pain relievers，α-blockers，and physiotherapy，yet they still fail to halt the pathological process of CP/CPPS. Research indicates that traditional Chinese medicine （TCM） can modulate the NF-κB pathway through a multi-target and multi-pathway approach，effectively reducing prostate tissue damage and prostate index and alleviating pain and lower urinary tract symptoms. On the basis of existing studies，this paper systematically examines the intrinsic connection between CP/CPPS and the NF-κB pathway and summarizes the effects of TCM active ingredients （e.g.，emodin，quercetin，and gentiopicroside），extracts （e.g.，Oldenlandia diffusa extract），classical medidcinal pairs （e.g.，Phellodendri Chinensis Cortex-Smilacis Glabrae Rhizoma），and compound prescriptions and Chinese patent medicines （e.g.，Qianliexiao decoction，Jiedu Huoxue decoction，Qianlie Shutong capsules） in treating CP/CPPS by regulating the NF-κB signaling pathway. The review of the research findings on treating CP/CPPS through this pathway aims to offer insights for clinical practice of TCM in the prevention and treatment of CP/CPPS，as well as to provide references for basic research and new drug development in this domain.

Metabolic dysfunction-associated fatty liver disease （MAFLD） has become the most common chronic liver disease worldwide. Its pathological process is centered on the “two-hit” theory， with gut-liver axis dysregulation running through the entire disease course from steatosis to liver cirrhosis and even hepatocellular carcinoma， and it forms an extensive cross-system regulatory mechanism with the metabolic， cardiovascular， renal， and psychological and nervous systems through multi-dimensional pathways such as the “gut-liver-brain axis”， the “liver-kidney axis”， and the “liver-heart axis”. Disease progression is not limited to the liver itself， and it also involves functional imbalance of multiple organ systems throughout the body. This article systematically elaborates on the association mechanism of “liver pathological progression-multi-axis regulation-comorbidity occurrence” in MAFLD， proposes synergistic management strategies integrating early screening based on risk stratification， targeted intervention， and multidisciplinary diagnosis and treatment， and analyzes the limitations of current research and future development directions， in order to provide a theoretical basis and practical guidance for precise diagnosis and treatment and individualized management of MAFLD.

ObjectiveTo investigate the mechanism by which Shengjiang Pingchuan Zhike pills （SPZP） alleviate airway injury in the rat model of cough variant asthma （CVA） via regulating autophagy through activating the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/Unc-51-like autophagy activating kinase 1 （ULK1） signaling pathway based on transcriptomics， thus providing experimental evidence for the clinical application of SPZP. MethodsForty SPF-grade SD rats were enrolled in the present study and randomly via the random number table method assigned into four groups： a blank group， a model group， a SPZP （2 160 mg·kg^-1·d^-1） group， and a positive drug （montelukast sodium， MTL， 0.9 mg·kg^-1·d^-1）group， with 10 rats in each group. After one week of adaptive feeding， the rat model of cough variant asthma （CVA） was established by two-week sensitization with ovalbumin （OVA） and aluminium hydroxide， followed by capsaicin atomization challenge. Rats in the blank group received an equal volume of normal saline during modeling. Upon successful modeling， rats in the SPZP group and positive drug group were administrated with SPZP suspension and MTL solution， respectively， while those in the blank and model groups received the same dose of normal saline by gavage. The whole intervention lasted for 21 consecutive days. After the intervention， general behaviors of rats in each group were observed. Pulmonary function indicators were subsequently detected. Hematoxylin-eosin （HE） staining was performed to visualize the pathological morphology of the lung tissue， and periodic acid-Schiff （PAS） staining was adopted to evaluate airway mucus secretion. Transcriptomic sequencing was conducted to screen differentially expressed genes in the lung tissue across groups. The levels of inflammatory cytokines including interleukin （IL）-4， IL-5， immunoglobulin E （IgE）， and interferon-γ （IFN-γ） in the bronchoalveolar lavage fluid （BALF） were quantified by enzyme-linked immunosorbent assay （ELISA）. Immunofluorescence staining was used for detecting the co-localization of autophagy-related protein Beclin-1 and phosphorylated mammalian target of rapamycin （p-mTOR）. Transmission electron microscopy was employed to count autophagosomes and observe mitochondrial morphological changes in the lung tissue. Western blot assay was utilized to measure the expression levels of AMPK/mTOR/ULK1 axis-related proteins， including AMPK， phosphorylated adenosine monophosphate-activated protein kinase （p-AMPK）， mTOR， phosphorylated mammalian target of rapamycin （p-mTOR）， ULK1， and phosphorylated Unc-51-like autophagy activating kinase 1 （p-ULK1） as well as the autophagy biomarkers Beclin-1 and selective autophagy adaptor protein p62 in lung specimens. ResultsCompared with the blank group， the model group exhibited markedly elevated cough frequency accompanied by wheezing and stridor， dull fur， poor mental activity， diminished motor activity， accelerated respiratory rate， and weakened sensory response and mobility to external stimuli， accompanied by a declining tendency of body mass. Meanwhile， the model group exhibited decreased dynamic lung compliance， increased airway resistance （P<0.01）， severe pathological damage and excessive mucus secretion in the lung tissue （P<0.01）， and elevated levels of IL-4， IL-5， and IgE and declined level of IFN-γ in the BALF （P<0.01）. Ultrastructural observation revealed damaged mitochondrial morphology and a sharp reduction in the number of autophagosomes in the lung tissue. In addition， the expression of p-AMPK， p-ULK1， and Beclin-1 were downregulated， whereas p-mTOR and p62 were highly expressed （P<0.05， P<0.01） in the model group. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses demonstrated significant enrichment of AMPK， mTOR， and autophagy-related pathways. Compared with the model group， both the positive drug group and SPZP group obtained visible improvements in general behavioral manifestations and obvious recovery of pulmonary function indicators （P<0.05）， alleviated pulmonary pathological lesions and suppressed excessive airway mucus secretion （P<0.05）， recovered levels of inflammatory cytokines in the BALF （P<0.05）， restored mitochondrial morphology， increased autophagosomes， upregulated expression levels of p-AMPK， p-ULK1， and Beclin-1， and downregulated expression levels of p-mTOR and p62 （P<0.05）. ConclusionSPZP can effectively ameliorate airway inflammation and improve the pulmonary function in the rat model of CVA by activating the AMPK/mTOR/ULK1 signaling pathway， enhancing autophagy in the lung tissue， and inhibiting excessive airway mucus secretion and immune inflammatory imbalance.

Objective To explore the predictive value of radiomics nomogram based on multiparameter MRI for the status of human epidermal growth factor receptor 2(HER-2)in endometrial cancer(EC).Methods A total of 154 patients with pathologically proved EC were retrospectively selected and randomly divided into training set(108 cases)and validation set(46 cases)according to the ratio of 7∶3.Radiomics features were extracted from the preoperative multiparameter MRI images of the patients.The predictive performance of different machine learning algorithms was evaluated by receiver operating characteristic(ROC)curves,and the nomogram was constructed in combination with clinical risk factors.Results The degree of differentiation and depth of myometrial invasion were clinical risk factors for predicting HER-2 positivity in EC patients.The support vector machine(SVM)was selected as the best radiomics model.The nomogram showed the highest predictive performance in the training and validation sets,with area under the curve(AUC)of 0.926 and 0.897,respectively.Conclusion The radiomics nomogram based on multiparameter MRI can accurately predict the HER-2 status of EC patients before surgery and can be used to guide clinical treatment decisions.

Objective To explore the mechanism underlying the role of disulfidptosis-related genes(DRGs)in the disease progression of metabolically associated fatty liver disease(MAFLD)based on bioinformatics.Methods In this study,the GEO database was utilized to screen for eligible MAFLD expression data,conduct differential gene analysis,and identify DRGs through consistent clustering to subtype MAFLD patients.The immune infiltration status among subtypes was further evaluated,and the infiltration of immune cells was analyzed using the CIBERSORT algorithm.The gene modules related to the disease were selected through weighted gene co-expression network analysis(WGCNA).Subsequently,a diagnostic model was constructed based on DRGs using machine learning models,and the performance of the model was verified.Finally,the stability of DRGs among different subtypes was evaluated using an external dataset,and the significance of the results was analyzed using statistical tests.Results Through the analysis of the dataset GSE31803,six disulfide death genes,namely,SLC3A2,NCKAP1,CYFIP1,FLNA,MYL6 and MYH10,which were closely related to the clinical characteristics of MAFLD,were screened out.MAFLD patients were classified into two subtypes,with subtype 1 having a higher level of immune cell infiltration.Key gene modules were identified through WGCNA.Through machine learning screening,the support vector machine(SVM)model was determined as the optimal classification model.External validation confirmed the stability and effectiveness of the key genes in different subtypes of MAFLD.Conclusion Based on DRGs,two highly heterogeneous subtypes of MAFLD were identified,which exhibited significant differences in clinical characteristics,biological processes and immune status,indicating that DRGs play a crucial role in the occurrence and development of MAFLD.