By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

ObjectiveTo explore the possible mechanism of Jianpi Huazhuo Tiaozhi Granule （健脾化浊调脂颗粒， JHTG） in treating atherosclerosis （AS） based on the regulation of perivascular adipose tissue （PVAT） browning via the phosphoinositide 3-kinase/protein kinase B （PI3K/AKT） signaling pathway. MethodsFifteen SPF male C57BL/6J mice served as control group， while 76 ApoE^-/- mice were first fed a high-fat diet for 16 weeks to establish AS model. After successful modeling， they were randomly divided into model group （n=16）， as well as the browning group， the low-， medium- and high-dose JHTG group， with 15 mice in each group. The browning group was intraperitoneally injected with β3-adrenergic receptor agonist CL 316243 at 1 mg/（kg·d） once daily. The low-， medium- and high-dose JHTG groups were treated with 4.3 g/（kg·d）， 8.6 g/（kg·d）， and 17.2 g/（kg·d） of JHTG by gavage， respectively， while the control group and the model group were given normal saline at 10 ml/（kg·d） by intragastric administration， once daily. All groups received continuous intervention for 4 weeks. The aorta was collected to assess the plaque ratio by gross oil red O staining. HE staining was used to measure the plaque area in cross-sections. Masson staining was employed to detect the proportion of collagen fibers in plaque. Transmission electron microscopy was used to observe the quantity and morphological changes of mitochondria and lipid droplets in adipocytes. The levels of serum triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） were detected， as well as tumor necrosis factor α （TNF-α） and interleukin 6 （IL-6） levels in the PVAT and aorta. The protein levels of adiponectin and leptin in PVAT， and protein expression levels of phosphoinositide 3-kinase （PI3K）， phosphorylated phosphoinositide 3-kinase （p-PI3K）， protein kinase B （AKT）， phosphorylated protein kinase B （p-AKT）， uncoupling protein 1 （UCP1）， peroxisome proliferator-activated receptor γ coactivator 1α （PGC-1α）， and PR domain containing 16 （PRDM16） were measured. The mRNA expression levels of UCP1， PGC-1α and PRDM16 in PVAT were detected. ResultsCompared to the control group， the model group showed increased serum TG， TC， and LDL-C levels and decreased HDL-C level， elevated TNF-α and IL-6 levels in PVAT and aorta， decreased average fluorescence intensity of adiponectin， increased average fluorescence intensity of leptin， reduced p-PI3K/PI3K and p-AKT/AKT values as well as protein levels and mRNA expression levels of UCP1， PGC-1α and PRDM16 （P＜0.01）. The pathological results showed that no significant plaque formation was observed in the aortas of mice in the control group. In the model group， multiple plaques were observed in the aortas， with large numbers of foam cells， cholesterol crystals， and inflammatory cell aggregation in the plaques. Compared to the model group， the browning group and the high-dose JHTG group significantly improved the above indicators and aortic pathological changes （P＜0.05 or P＜0.01）. Three JHTG groups showed a dose-dependent effect in reducing LDL-C level and plaque ratio by gross oil red O staining， elevating the average fluorescence intensity of adiponectin， the p-AKT/AKT value， the protein level of PGC-1α， and the mRNA expression levels of UCP1 and PRDM16 （P＜0.05）. The high-dose JHTG group and the browning group showed similar efficacy in improving the pathology of the aorta. ConclusionJHTG may promote PVAT browning in AS model mice through the PI3K/AKT pathway， improve the endocrine function of PVAT， inhibit aortic inflammation， and thereby ameliorate the formation of AS plaques.

Diffuse pediatric-type high-grade glioma (pHGG), H3- and isocitrate dehydrogenase (IDH)-wild-type, is a World Health Organization (WHO) grade 4 diffuse glioma with malignant histological features, which typically affects in children and adolescents. This multidisciplinary treatment case involves a 24-year-old young female patient initially diagnosed via biopsy. After concurrent chemoradiotherapy reduced the tumor size, complete resection was achieved, followed by adjuvant therapy with temozolomide and regorafenib. After recurrence, the tumor was resected again, and a second course of radiotherapy was administered, but the disease ultimately progressed rapidly, with an overall survival exceeding 32 months. pHGGs are highly malignant, aggressive, and associated with poor prognosis. Accurate diagnosis and targeted intervention require close collaboration among a multidisciplinary team, which highlights the critical value of multidisciplinary manage-ment in clinical practice.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

Objective:To investigate the value of MULTI-parametric MR imaging with flexible design (MTP) combined with microview diffusion weighted imaging (DWI) in predicting pituitary tumor invasion of cavernous sinus.Methods:This was a cross-sectional study. The clinicopathological and imaging data of 59 patients with suspected pituitary tumor who were admitted to the First Affiliated Hospital of Dalian Medical University from December 2021 to August 2024 were prospectively analyzed. According to Knosp classification, patients with pituitary tumor were divided into non-invasive group (28 cases) and invasive group (31 cases). All patients underwent MTP and microview DWI sequence scanning, and the corresponding parameter values [T 1, R 2*, T 2* and apparent diffusion coefficient (ADC)] were measured on the MTP quantitative map and ADC map at the maximum diameter level of the pituitary tumor. Independent sample t test and Mann-Whitney U test were used to compare the clinical data, quantitative parameter values and proliferation index (Ki-67) between the non-invasive group and the invasive group. Quantitative parameter values with statistically significant differences were jointly included in logistic regression to construct the model. Receiver characteristic curve and area under the curve (AUC) were used to analyze single variables and logistic model in predicting the value invasion of pituitary tumor cavernous sinus invasion. Spearman correlation was used to analyze the correlation between the quantitative values and Ki-67 level. Results:There was no significant difference in age and gender between the non-invasive group and the invasive group ( P>0.05). T 1 and T 2* values in invasion group were higher than those in non-invasion group ( Z=4.42, P<0.001; Z=3.43, P<0.001), R 2* values and ADC values in the invasion group were lower than those in the non-invasion group, and the difference was statistically significant (t=4.07, P<0.001; Z=-3.07, P=0.002). The AUC values of T 1, R 2*, T 2*, ADC, logistic model 1(T 1+R 2*+ADC) and logistic model 2(T 1+T 2*+ADC) for predicting pituitary tumor cavernous sinus invasion were 0.835, 0.767, 0.760, 0.733, 0.926 and 0.925, respectively. Correlation analysis showed that the value of pituitary tumor T 1 was positively correlated with Ki-67 ( r=0.431, P=0.002). Conclusion:Quantitative parameters of MTP sequence and microview DWI sequence can quantitatively evaluate pituitary tumor invasion of cavernous sinus, and the combination of the two sequences can significantly improve the prediction efficiency.

Objectives:This study aimed to explore the association between perceived mental stress (MS), lymphocyte subset variations, and coronary lesion severity in patients with coronary artery disease (CAD).Methods:Patients with CAD were enrolled in this study from September 2023 to May 2024. Perceived Stress Scale-14 (PSS-14) was used to evaluate MS during the last 1 month. Lymphocyte subsets were analyzed, including the percentage and absolute counts of CD3 +, CD3 +CD4 +, CD3 +CD8 +, CD3 -CD19 +, CD3 -CD56 +16 +, and the Th/Ts ratio. Statistical analysis was conducted using SPSS 24.0. Results:This study recruited patients with 323 CAD, with an average age of 61 (56, 68) years, including 203 males and 120 females. According to the PSS-14, a score of 14-42 and 43-70 were categorized as normal and increased MS, respectively. Patients with CAD with increased MS had significantly higher Gensini scores than those with normal MS [37(19,64) vs. 28(12,50), Z=-2.19, P=0.029]. Male CAD patients with increased MS exhibited significantly higher Gensini scores [39(20, 58) vs. 26(12, 45), Z=-2.37, P=0.018], levels of CD3 +CD8 +%[28.3%(23.6%,36.6%) vs. 25.9%(21.0%,32.4%), Z=-2.05, P=0.041], and CD3 +CD8 +absolute value [485 (346, 675) vs. 396 (309, 510) cells/μl, Z=-2.55, P=0.011] than those with normal MS. In male patients with CAD, a positive correlation was observed between Gensini scores (correlation coefficient: 0.181, P=0.011), PSS-14 scores, and CD3 +CD8 +absolute value (correlation coefficient: 0.162, P=0.038). Conclusion:This study reveals a positive correlation between MS and coronary stenosis severity, with notable sex differences. In male patients with CAD, higher levels of MS are associated with more severe coronary stenosis. The potential underlying mechanism may involve the regulation of lymphocyte subsets .

Objective:To explore the cut-off value of metastatic lymph node ratio (LNR) for stage N3 gastric cancer and construct a new TNM staging system to predict prognosis.Methods:Clinical data of 4 291 patients from Jan 2004 to Dec 2020 in the SEER database and 567 patients from Jan 2016 to Dec 2020 in the First Affiliated Hospital of Zhengzhou University with stage N3 gastric cancer were collected. A new TNrM staging system and a nomogram model were constructed based on the optimal LNR cut-off value and compared with the 8th TNM staging model in terms of prognostic discrimination, prognostic prediction accuracy, and clinical usefulness.Results:The optimal cut-off value of LNR was 0.5. A TNrM staging system was constructed by combining the Nr stage with the T stage. Univariate and multivariate COX regression analyses showed that the TNrM staging system was a significant prognostic factor (all P<0.05). Based on the 8th TNM and TNrM staging system, two nomograms were constructed in the training set and externally validated in the validation set. Compared with the TNM staging model, the TNrM staging model had a larger C-index and area of time-dependent ROC curve(AUC) (training set: 3-year AUC: 66.5 vs. 74.4, 5-year AUC: 68.9 vs. 75.3; validation set: 3-year AUC: 62.3 vs. 73.1, 5-year AUC: 62.6 vs. 75.8), its overall survival prediction curves were closer to the ideal curve in the calibration curve, and its clinical net benefit was greater in the decision curves. Conclusions:Stage N3 gastric cancer patients with a metastatic lymph node ratio >0.5 have a poor prognosis. The TNrM staging nomogram model constructed based on the lymph node ratio has better prognostic discrimination ability and prediction accuracy and more clinical net benefits compared to the 8th edition of TNM staging nomogram model.

Objective To determine the effect of Tai Chi practice on balance control ability of the individuals with functional ankle instability(FAI)in single-leg stance(SLS),and further observe the augmented effect from attention focus on ankle.Methods A total of 46 individuals with FAI were randomly divided into ankle focus group,free focus group and control group.The ankle focus group and free focus group performed Tai Chi practice for 10 weeks;the ankle focus group focused their attention on the ankle joint,while the free focus group didn't require attention focus;the control group maintained the origin lifestyle and didn't engage in special physical activities.The three-dimensional force plate and Y balance test(YBT)were used to evaluate the static(with eyes open and closed)and dynamic(instant and continuous)balance ability of individuals with FAI.Results For ankle focus group and free focus group,the anterior-posterior(AP)and medial-lateral(ML)sway distances of center of pressure(COP)in SLS with eyes open and closed were significantly reduced,and the reach distance in YBT in three directions were increased.For the ankle focus group,the ML stability index and the dynamic postural stability index were significantly reduced during single-leg drop landing.The ankle focus group and free focus group had a significantly smaller ML COP sway distance than control group in SLS with eyes open;the ankle focus group had a significantly smaller ML COP sway distance than free focus group and control group in SLS with eyes closed;and the reach distance of ankle focus group in posterior-medial&posterior-lateral direction in YBT was longer than that of free focus group and control group.Conclusions Tai Chi practice can comprehensively improve static and dynamic balance control ability of the individuals with FAI in SLS,and ankle attention-focused Tai Chi practice is more effective,especially for the enhancement of their ML control ability in static state with eyes closed and in continuous dynamic SLS.

Objective:To explore the clinical efficacy of three different surgical timings of modified cervical cerclage in twin pregnant women with cervical insufficiency.Methods:The clinical data of 73 twin pregnant women who underwent modified cervical cerclage and had pregnancy outcomes in Qilu Hospital of Shandong University (Qingdao) from April 2014 to July 2023 were retrospectively analyzed. According to the different timings of surgery, they were divided into prophylactic cerclage group, ultrasound-indicated cerclage group (further divided into cervical length (CL)≤15 mm and 15 mm10 mg/L was a risk factor for preterm birth before 34 weeks of gestation ( OR=5.230, 95% CI: 1.616-16.929; P=0.006). Conclusions:In twin pregnant women with cervical insufficiency, prophylactic cerclage has the same surgical effect as ultrasound-indicated cerclage, while both prophylactic cerclage and ultrasound-indicated cerclage could significantly improve maternal and fetal outcomes compared with emergency cerclage. Twin pregnancies with CL≤15 mm might benefit from cervical cerclage. Postoperative CRP>10 mg/L is an independent risk factor for preterm birth before 34 weeks of gestation.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.