Objective: To understand 24 h physical activity levels of children aged 8-9 years in Pudong New Area and to explore its association with metabolic syndrome, so as to provide scientific basis for children s participation in physical activities and reducing the risk of metabolic syndrome. Methods: A stratified cluster random sampling method was adopted to select 13 schools in Pudong New Area, Shanghai. A total of 2 013 primary school students aged 8-9 years old were included as the research subjects. During September 2021 to December 2022, Actigraph GT3X accelerometer, height measuring gauge, electronic sphygmomanometer and waist circumference tape was used to measure physical activity, height, blood pressure and waist circumference, respectively. A total of 5 mL of venous blood was collected from students, and the levels of triglycerides (TG), highdensity lipoprotein cholesterol (HDL-C) and fasting plasma glucose (FPG) were detected, and online questionnaires were conducted. The ttest and oneway ANOVA were employed to compare the differences in 24 h physical activity levels among children with different characteristics. Multivariate Logistic regression was used to analyze the association between the 24 h physical activity levels and metabolic syndrome as well as its components. Results: Among primary school students, the average daily time of moderate to vigorous physical activity (MVPA) was (34.25±13.49)min, the attainment rate was 1.59%. The average daily sleep (SLP) time was (538.27±28.53) min, attainment rate was 1.89%. The detection rates of metabolic syndrome, abdominal obesity (AO), elevated blood pressure (BP), elevated TG, low HDL-C, and elevated FPG were 2.48%, 34.53%, 10.38%, 10.73%, 1.24% and 0.70%, respectively. Multivariate Logistic regression analysis showed that, for every 10minute increase in sedentary behavior (SB) time, the risks of AO, elevated BP, and elevated TG increased by 2% ( OR=1.02, 95%CI =1.01-1.04), 5% ( OR=1.05, 95%CI =1.01-1.08), and 6% ( OR= 1.06, 95%CI =1.02-1.11), respectively ( P <0.05). For every 10minute increase in MVPA time, the risk of metabolic syndrome decreased by 27% ( OR=0.73, 95%CI=0.57-0.93, P <0.05). For every 10 minute increase in SLP time, the risks of AO, elevated BP, and metabolic syndrome decreased by 16% ( OR=0.84, 95%CI =0.80-0.88), 9% ( OR=0.91, 95%CI =0.82- 0.99 ), and 15% ( OR=0.85, 95%CI =0.77-0.94), respectively （P <0.05). Conclusions The time of MVPA and SLP are seriously insufficient among children aged 8-9 years in Pudong New Area. There is an association between physical activity levels and metabolic syndrome as well as its components. Increasing the time of MVPA and SLP is of great significance for maintaining a relatively low risk of metabolic syndrome in children.

ObjectiveA multiplex amplification system was constructed based on the capillary electrophoresis platform for simultaneous detection of saliva, semen, and vaginal secretions using tissue-specific RNA markers. The aim of this study is to identify the tissue origin of suspicious body fluid stains found at crime scenes and determine whether the body fluid stains at the crime scene are one or several types among saliva, semen, and vaginal secretions. MethodsThirty saliva samples, forty semen samples, and forty vaginal secretion samples (half from 2015 and half from 2024) were collected from healthy adult volunteers. Through primer designing, system formulation, and PCR condition optimization, a multiplex fluorescent amplification system was constructed. The specificity, sensitivity, and detection ability for mixed samples of this system were investigated, and it was tested using real crime scene materials. In the primer design stage, to reduce the requirements for RNA template quality, the amplification products were set within 80-300 bp. In the system formulation stage, dominant and subordinate primers were mainly considered. By reducing the concentration of dominant primers and increasing that of subordinate primers, a capillary electrophoresis spectrum with an appropriate peak height ratio was finally obtained. Additionally, gradient experiments were designed to adjust the concentrations of PCR reagents and PCR amplification conditions, and multiple versions of DNA amplification enzymes were optimized to achieve the best experimental results. ResultsThrough statistical analysis, there was no significant difference in the capillary electrophoresis of the 3 types of body fluid samples from the two years (2015 and 2024), demonstrating that the sample preservation method in this study can preserve samples for a relatively long time. The composite amplification system constructed in this study exhibited high specificity for all 3 types of body fluid, with no cross-reactions between the markers of each type of body fluid. The minimum detection thresholds for the 3 types of body fluid reached 0.002 9, 0.001 5, and 0.42 mg/L, respectively. This system also had a high degree of discrimination for mixed samples, especially for semen-saliva mixtures, where each body fluid marker could still be successfully detected when the concentration ratio of semen to saliva was 100:1. Meanwhile, in the two actual cases presented in this article, the application of this composite amplification system performed outstandingly. ConclusionThe composite amplification detection system constructed in this study can achieve the correct screening of saliva, semen, and vaginal secretions, overcoming the problems such as low specificity and sensitivity of marker tests and unbalanced RFU values of each marker in previous studies. The specificity and sensitivity meet the practical work requirements, and the operation is simple. It provides an analytical and identification method for body fluid stains in actual case and is applicable to the identification of the tissue origin of biological evidence at crime scenes involving sexual assault, indecent assault, and other criminal acts. In the future, more types of body fluid markers will be screened to expand the types of body fluids detected by the system, and body fluid-specific cSNP and cInDel genetic markers will be introduced to infer the sources (individuals and types) of mixed and complex stains more accurately.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

Diabetic osteoporosis （DOP） is a kind of bone complication caused by diabetes， which is characterized by the decrease of bone mineral density， the change of bone microstructure and the increase of bone fragility. The process of DOP is closely related to high glucose， insulin resistance， oxidative stress and other mechanisms. The Wnt/β-catenin signaling pathway plays an important role in mediating insulin resistance and bone metabolic balance in diabetes. Regulation of Wnt signal transduction promotes the expression of glycogen synthase kinase-3β（GSK-3β）phosphorylation and improves glucose and lipid metabolism. The Wnt/β-catenin signaling pathway is also an important way regulating osteocyte-driven bone remodeling， which not only plays an important regulatory role in the balance between osteoblasts and osteoclasts and improve bone metabolic homeostasis， but also promotes the expression of osteopontin， osteocalcin and type Ⅰ collagen， and improves bone proliferation and osteogenic differentiation by regulating the Wnt pathway. In recent years， the research of traditional Chinese medicine （TCM） in the prevention and treatment of DOP has gradually increased， and the exploration of TCM to interfere with the Wnt pathway to improve DOP has made some progress. This paper collects and summarizes the studies on the Wnt signaling pathway in glucose metabolism， bone metabolism and DOP worldwide in the past decade， as well as the related literature on the intervention of DOP by TCM compounds （classical and other compounds）， single Chinese medicine and TCM monomers based on the Wnt pathway， in order to provide a reference and direction for the development of new drugs for clinical prevention and treatment of DOP.

ObjectiveTo investigate the effect of Tangbikang granules on oxidative stress of sciatic nerve in diabetic rats by regulating adenylate activated protein kinase/peroxisome proliferator-activated receptor γ coactivator-1α/mitochondrial Sirtuins 3 （AMPK/PGC-1α/SIRT3） signaling pathway. MethodThe spontaneous obesity type 2 diabetes model was established using ZDF rats. After modeling， they were randomly divided into high， medium， and low dose Tangbikang granule groups （2.5， 1.25， 0.625 g·kg^-1·d^-1） and lipoic acid group （0.026 8 g·kg^-1·d^-1）， and the normal group was set up. The rats were administered continuously for 12 weeks after modeling. The blood glucose of rats was detected before intervention and at 4， 8， 12 weeks after intervention. At the 12^th week， motor nerve conduction velocity （MNCV）， sensory nerve conduction velocity （SNCV）， nerve blood flow velocity， mechanical pain threshold， and thermal pain threshold were detected. The sciatic nerve was taken for hematoxylin-eosin （HE） staining to observe the tissue morphology. The ultrastructure of the sciatic nerve was observed by transmission electron microscope. The expression levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in sciatic nerve were determined by enzyme-related immunosorbent assay （ELISA）. The mRNA expressions of AMPKα， AMPKβ， PGC-1α， and SIRT3 in sciatic nerve were determined by real-time polymerase chain reaction （Real-time PCR）. ResultCompared with the normal group， fasting blood glucose in the model group was increased at each time point （P<0.01）. The mechanical pain threshold was decreased （P<0.05）， and the incubation time of the hot plate was extended （P<0.01）. MNCV， SNCV， and nerve blood flow velocity decreased （P<0.05）. The expression level of SOD was decreased （P<0.01）. The expression levels of MDA， IL-1β， and TNF-α were increased （P<0.01）. The mRNA expression levels of AMPKα， AMPKβ， PGC-1α， and SIRT3 were decreased （P<0.01）. The structure of sciatic nerve fibers in the model group was loose， and the arrangement was disordered. The demyelination change was obvious. Compared with the model group， the fasting blood glucose of rats in the high dose Tangbikang granule group was decreased after the intervention of eight weeks and 12 weeks （P<0.01）. The mechanical pain threshold increased （P<0.05）. The incubation time of the hot plate was shortened （P<0.01）. MNCV， SNCV， and Flux increased （P<0.05）. The expression level of SOD was increased （P<0.01）. The expression levels of MDA， IL-1β， and TNF-α were decreased （P<0.01）. The mRNA expression levels of AMPKα， AMPKβ， PGC-1α， and SIRT3 were increased （P<0.01）. The sciatic nerve fibers in the high-dose Tangbikang granule group were tighter and more neatly arranged， with only a few demyelinating changes. The high， medium， and low dose Tangbikang granule groups showed a significant dose-effect trend. ConclusionTangbikang granules may improve sciatic nerve function in diabetic rats by regulating AMPK/PGC-1α/SIRT3 signaling pathway partly to inhibit oxidative stress.

ObjectiveTo investigate the effect of Dendrobium officinale polysaccharide （DOP）on CCl₄-induced hepatic fibrosis（HF）and its mechanism. MethodsA total of 56 male SD rats were randomly divided into seven groups： normal group（NG），model group（MG），colchicine group（CG， 0.1 mg/kg）， Fuzheng Huayu group（FG， 0.45 g/kg），low-dose DOP group（LDG， 0.05 g/kg），middle-dose DOP group（MDG， 0.1 g/kg）and high-dose DOP group（HDG，0.2 g/kg），with 8 rats in each group. HF rat model was established by subcutaneous injection with 40% CCl₄ olive oil mixture， every 3-day for 10 weeks. At the end of the sixth week， the drug groups were treated with colchicine， Fuzheng Huayu and DOP solution by gavage respectively， once a day for 4 weeks. NG and MG groups were similarly handled with an equal amount of 0.9 % normal saline. Liver histopathology was detected using hematoxylin-eosin （HE）， Masson and Sirius red staining； blood biochemistry was tested for liver function and four indicators of HF； RT-qPCR and Western Blot were used to measure the expression of α-SMA， Col-I， E-cadherin， and ZEB1 genes and proteins in the liver tissues of rats， respectively. ResultsHE， Masson， and Sirius red staining showed that the liver tissue of MG rats had typical pathologic features of HF， and the degree of HF was alleviated in LDG， MDG， and HDG rats， respectively. Liver function test results showed that the serum AST， TBIL， and AKP levels were significantly lower in LDG， MDG， and HDG， compared with those of the MG （P < 0.05 or < 0.01）. Meanwhile， ALT levels in serum deceased remarkably except in LDG （P < 0.05 or < 0.01）. The four results of HF showed that the serum HA， LN， PC-Ⅲ， and COL-Ⅳ levels in LDG， MDG， and HDG rats were significantly decreased compared with those of the MG （P < 0.05 or < 0.01）. The relative expressions of α-SMA， COL-I， and ZEB1 genes and proteins were significantly decreased in the liver tissues of LDG， MDG， and HDG （P < 0.05 or < 0.01）， and the relative expression of E-cadherin gene and protein increased （P < 0.05 or < 0.01）. In addition， the expressions of HA， α-SMA， COL-I， ZEB1 and E-cadherin were dependent on the dose of DOP. ConclusionDOP alleviated the degree of CCl₄ induced HF in rats by inhibiting the epithelial-mesenchymal transition in liver tissue.

Objective To investigate the rate of germline variants in patients with pancreatic cancer and clinical characteristics related with germline variants.Methods A total of 271 patients diagnosed with pancreatic cancer were enrolled in this study.Germline variants of 21 tumor susceptibility genes were detected by next-generation sequencing,and the relationship between germline variants and clinical factors such as age of onset,family history and personal history was analyzed.Results The rate of germline P/LP variants was 6.3%in unselected pancreatic cancer patients,but was high as 17.1%in genetic high-risk group patients(those with a family or personal history of cancer,or early-onset).Genes with higher frequency of germline variants in pancreatic cancer patients were PALB2,BRCA2,and ATM.Conclusion The rate of germline variants in overall pancreatic cancer patients is not high,but it increases significantly in genetic high-risk group,proving the importance of clinical factors in the screening of hereditary pancreatic cancer.

Objective:To explore the diagnostic value of serum cystatin C (CysC) and C1q tumor necrosis factor-related protein 9 (CTRP9) levels for diabetic retinopathy (DR) and diabetic macular edema (DME) in patients with type 2 diabetes.Methods:A cross-sectional study was conducted.A total of 135 patients with type 2 diabetes, aged 45-75 years, who were treated in Gansu Provincial Hospital from April 2021 to April 2022 were included.According to DR grading standard, patients were divided into non-DR (NDR) group, non-proliferative DR (NPDR) group and proliferative DR (PDR) group, with 45 patients in each group.The DR patients were subdivided into DME group (51 cases) and non-DME group (39 cases).A total of 45 healthy subjects were selected as the normal control group.Fasting peripheral venous blood was collected to detect serum glycosylated hemoglobin, fasting blood glucose, triacylglycerol, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, CysC and CTRP9 levels.The expression of CysC and CTRP9 levels among different groups were compared.The independent influencing factors of DR and DME were evaluated by multivariate logistic regression analysis model.The diagnostic value of serum CysC and CTRP9 in DR and DME were evaluated by receiver operating characteristic (ROC) curve.This study adhered to the Declaration of Helsinki and the study protocol was approved by the Ethics Committee of Gansu Provincial Hospital (No.2021-301).All patients were informed about the purpose and methods of the study and signed an informed consent form.Results:Serum CysC levels in normal control group, NDR group, NPDR group and PDR group were 0.74(0.67, 0.83), 1.03(0.85, 1.22), 1.40(0.98, 1.63) and 1.66(1.31, 1.85)mg/L, respectively, showing a gradually increasing trend, and the serum CTRP9 levels were (136.90±14.95), (120.23±16.31), (109.50±14.71) and (90.99±13.88)pg/ml, respectively, showing a gradually decreasing trend, with statistically significant overall comparison differences among groups ( Z=89.430, P<0.001; F=74.242, P<0.001), the comparison within groups was statistically significant (all at P<0.05).Compared with non-DME group, the serum CysC level was significantly increased and serum CTRP9 level was significantly decreased in DME group (both P<0.05).Multivariate logistic regression analysis showed that serum CysC (odds ratio [ OR]=19.742, 95% confidence interval [ CI]: 4.515-86.316, P<0.001) was the independent risk influencing factors for the occurrence of DR, and CTRP9 ( OR=0.937, 95% CI: 0.908-0.966, P<0.001) was a protective factor for the occurrence of DR.Serum CTRP9 level ( OR=0.838, 95% CI: 0.778-0.903, P<0.001) was a protective factor for DME.The ROC curve showed that the area under ROC curve (AUC) for serum CysC and CTRP9 levels alone and in combination for the diagnosis of DR in patients with type 2 diabetes mellitus complicated by DR were 0.798, 0.802 and 0.870, respectively.The cutoff values of serum CysC and CTRP9 levels to obtain the best diagnostic efficacy were 1.34 mg/L and 110.12 pg/ml, respectively.The AUC for serum CysC and CTRP9 level alone and in combination for the diagnosis of DME in DR patients were 0.682, 0.923 and 0.923, respectively.The cutoff value of serum CTRP9 level to obtain optimal diagnostic efficacy was 104.68 pg/ml. Conclusions:The enhanced expression of serum CysC level and reduced expression of serum CTRP9 level are the risk factors for the development of DR in type 2 diabetes patients.The decrease of serum CTRP9 level is one of the risk factors for the development of DME in DR patients.

Objective:To evaluate the diagnostic performance of radiomics model based on contrast-enhanced ultrasound(CEUS) in predicting pathological complete response(pCR) after neoadjuvant chemoradiotherapy(nCRT) in patients with locally advanced rectal cancer(LARC).Methods:One hundred and six patients with LARC who underwent total mesorectal excision after nCRT between April 2018 and April 2023 in the First Affiliated Hospital of Guangxi Medical University were retrospectively included, the patients were randomly divided into a training set of 63(14 pCR patients) and a validation set of 43(12 pCR patients) in a 6∶4 ratios. Radiomics features were extracted from the tumors′ region of interest of CEUS images based on PyRadiomics. Intra-class correlation coefficient(ICC), Mann-Whitney U test, and least absolute shrinkage and selection operator(LASSO) algorithms were used to reduce features dimension. Finally, 7 radiomics features relevanted to pCR were selected to construct an ultrasomics model using elastic network regression, based on the R language. A combined model was constructed by jointing clinical feature. The performance of the models was assessed with the area under the ROC curve(AUC). Results:The AUC of the ultrasomics model and the combined model was 0.695(95% CI=0.532-0.859) and 0.726(95% CI=0.584-0.868) respectively in the training set. The AUC of the ultrasomics model and the combined model was 0.763(95% CI=0.625-0.902) and 0.790(95% CI=0.653-0.928) respectively in the validation set. Both univariate and multivariate Logistic regression analyses showed that CA199( P<0.05) and ultrasomics score( P<0.001) could be an independent predictor of pCR after nCRT in patients with LARC. Conclusions:The CEUS-based radiomics scores has certain predictive value for whether LARC patients achieve pCR after nCRT, and may provide a non-invasive imaging biomarker for predicting LARC patients achieve pCR after nCRT.

Objective To investigate the correlations of serum Aβ1-42,P-Tau181,and Hcy levels with sleep disorders in patients with Parkinson's disease(PD).Methods A total of 80 PD patients were divided into a normal sleep group(＜7 points)and a sleep disorder group(≥7 points)based on the evaluations with Pittsburgh Sleep Quality Index(PSQI).Univariate and multivariate logistic regression analyses were performed to investigate the correlations between the levels of serum A β1-42,P-Tau181,and Hcy levels and sleep disorders.Receiver operating characteristic(ROC)curves were used to analyze the efficacy parameters of different indicators in pre-dicting sleep disorders in those patients.Results Univariate and multivariate logistic regression analyses showed that serum Aβ1-42 and Hcy were protective and independent risk factors for sleep disorders in the PD patients,respectively(P＜0.05).The predictive AUCs of serum Aβ1-42 and Hcy levels for sleep disorders in the PD patients were 0.757(95%CI:0.652～0.861)and 0.796(95%CI:0.688～0.905),respectively.Conclusion The levels of serum Aβ1-42 and Hcy in PD patients are closely related to sleep disorders.Therefore,they can be used as predic-tive factors for clinical diagnosis of PD with sleep disorders.