ObjectiveTo investigate the associations of multiple glycolipid metabolic indicators and their cumulative abnormality burden with incident colorectal cancer risk in a general population-based prospective cohort, and to examine the mediating role of glycolipid metabolic abnormalities in the relationships between smoking, alcohol consumption, physical activity, and colorectal cancer incidence. MethodsA total of 17 897 eligible participants recruited from the Taizhou Cohort between 2011 and 2014 were included. Cox proportional hazards regression models were used to assess the associations of conventional and derived glycolipid indicators, as well as a glycolipid abnormality index constructed from total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting plasma glucose, and insulin, with incident colorectal cancer risk. Restricted cubic spline models were applied to evaluate dose-response relationships for major indicators. Receiver operating characteristic curves were generated to compare predictive performance across indicators. Mediation analyses were conducted to assess the mediating effects of the glycolipid abnormality index on the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence. ResultsDuring a median follow-up of 11.2 years, 102 incident colorectal cancer cases were identified, with an incidence density of 51.2 per 100 000 person-years. After adjustment for potential confounders, Cox proportional hazards regression analyses showed that decreased high-density lipoprotein cholesterol was associated with a 1.74-fold higher risk of colorectal cancer (HR=1.74, 95%CI: 1.03‒2.95), elevated low-density lipoprotein cholesterol was associated with a 1.78-fold higher risk (HR=1.78, 95%CI: 1.05‒3.02), and abnormal fasting plasma glucose was associated with a 1.86-fold higher risk (HR=1.86, 95%CI: 1.15‒3.02). Triglycerides and fasting plasma glucose showed an approximately linear increasing association with colorectal cancer risk in multivariable restricted cubic spline models. The glycolipid abnormality index showed a clear gradient association with colorectal cancer risk; participants with three or more abnormal indicators had a 3.08-fold higher risk than those without abnormalities (HR=3.08, 95%CI: 1.60‒5.92). The area under the curve was 0.795, higher than that of individual glycolipid indicators and other combined indices, and gender-stratified analyses showed generally consistent patterns. Glycolipid metabolic abnormalities partially mediated the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence, with mediation proportions of 8.33%, 9.45%, and 9.04%, respectively. ConclusionGlycolipid metabolic abnormalities are associated with an increased risk of incident colorectal cancer. The glycolipid abnormality index shows an increasing relationship with colorectal cancer risk and demonstrates better discrimination, and it partially mediates the associations of smoking, alcohol consumption, and physical activity with colorectal cancer incidence in the overall population.

Objective: To analyze resting state electroencephalography (EEG) theta/beta power ratio (TBR) and motor development characteristics in children aged 4-8 years with attention deficit hyperactivity disorder (ADHD) and typically developing children, so as to examine the association between TBR in brain regions showing ADHD related differences and motor coordination ability. Methods: From July to September 2025, a total of 80 children aged 4-8 years were enrolled (40 in the ADHD group were recruited at Beijing Children s Hospital and 40 in the typically developing control group were recruited at a kindergarten and a primary school in Weifang). Three minute eyes open resting state EEG was collected to calculate TBR in the frontal, central, parietal, temporal, and occipital regions. The Movement Assessment Battery for Children-2 (MABC-2) and the Test of Gross Motor Development-3 (TGMD-3) were used to assess motor development. Between group comparisons were performed using t-test and analysis of covariance. Pearson correlation and partial correlation analyses were used to explore the relationships between regional TBR and motor development indicators; multiple linear regression analysis was used to examine the predictive effect of regional TBR on motor development. Results: After adjustment, TBR in the frontal, central, parietal, and temporal regions was higher in the ADHD group than in the control group (all P <0.05). After adjustment, TGMD-3 object control skill scores (32.50±1.22 ，38.65±1.06) and total scores (71.05±1.98, 80.25±1.72), as well as MABC-2 fine motor (7.02±0.22, 8.96± 0.19), coordination (7.52±0.23, 8.40±0.20), balance (7.25±0.24, 8.98±0.21), and total scores (21.79±0.51, 26.34± 0.44 ), were lower in the ADHD group than in the control group ( F =6.85, 6.48, 22.50, 5.16, 13.75, 28.60, all P <0.05). Pearson correlation analysis showed that within the ADHD group, central and parietal TBR were negatively correlated with MABC-2 total score ( r = -0.32 , -0.34, both P <0.05). Multiple linear regression analysis showed that after controlling for sex, age, height, weight, and body mass index in children with ADHD, parietal TBR remained negatively associated with MABC-2 total score ( β =-0.21, P <0.05). Conclusion ADHD related cortical arousal characteristics in children aged 4-8 years may be associated with their motor deficits.

Abstract Children with attention deficit hyperactivity disorder (ADHD) exhibit abnormal brain structural development, neurotransmitter imbalance, and dysregulation of brain functional networks. Exercise can promote brain plasticity through multiple pathways, including promoting neurogenesis, enhancing synaptic plasticity, regulating neurotrophic factor expression, and improving cerebral blood flow and cerebral metabolism. It can also improve attention, executive function, and behavioral performance by enhancing prefrontal functional activity, optimizing brain network connectivity, and regulating neurotransmitter systems. To elucidate the role of exercise intervention in improving brain plasticity in children with ADHD, the review summarizes the abnormal characteristics of brain plasticity in children with ADHD, the main mechanisms by which exercise promotes brain plasticity, and related empirical advances. Future research should strengthen standardized intervention studies and incorporate multimodal indicators to further verify the mechanisms underlying the effects of exercise intervention.

Abstract To investigate the effects of exercise on gut microbiota(GM) among children with autism spectrum disorder(ASD)，the review provides an in depth summary of the three core biological pathways through which exercise modulates the GM: repairing the integrity of the intestinal barrier to inhibit lipopolysaccharide mediated neuroinflammation; optimizing key metabolites, such as short chain fatty acids, to reshape gut-brain communication; synergistically regulating the tryptophan-kynurenine metabolic pathway and vagus nerve signaling to balance neurotransmitters. These interconnected pathways not only alleviate gastrointestinal discomfort but also provide a solid biological foundation for improving the core behavioral symptoms of ASD, such as social deficits and repetitive behaviors. Future research should focus on establishing standardized exercise intervention protocols, validating the efficacy of these key biological pathways using multi omics approaches, and exploring combined intervention strategies. The results of corollary studies will provide a more robust scientific basis for precision rehabilitation of children with ASD.

Traditional Chinese medicine(TCM)is an ancient medical system distinctive and effective in treating cancer,depression,coronavirus disease 2019(COVID-19),and other diseases.However,the relatively abstract diagnostic methods of TCM lack objective measurement,and the complex mechanisms of action are difficult to comprehend,which hinders the application and internationalization of TCM.Recently,while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research,the rise of machine learning(ML)has significantly enhanced their inte-gration with TCM.This article introduces representative methodological cases in quality control,mechanism research,diagnosis,and treatment processes of TCM,revealing the potential applications of ML technology in TCM.Furthermore,the challenges faced by ML in TCM applications are summarized,and future directions are discussed.

Objective To explore the mechanism by which Tougu Xiaotong Capsule(TXC)promotes chondrogenic differentiation and cartilage repair in mice with osteoarthritis(OA).Methods Fifty 8-week-old male C57BL mice were randomly divided into normal control group,cartilage damage(induced by subchondral ring-shaped drilling)model group and TXC treatment groups at low,moderate and high doses(184,368 and 736 mg/kg,respectively).Saline(in normal control and model groups)and TXC were administered after modeling by daily gavage for 6 consecutive weeks.The changes of cartilage damage in the mice were assessed by measuring thermal withdrawal latency(TWL)and mechanical withdrawal threshold(MWT)and using micro-CT,modified safranine O and fast green staining,HE staining,and qPCR.Primary cultures of mouse synovial mesenchymal stem cells(SMSCs)with lentivirus vector transfection for interfering CXCL12,TXC treatment,or both for 24 h were examined for chondrogenic differentiation using immunofluorescence staining,scratch assay,immunocytochemistry,and Western blotting.Results In mouse models with cartilage damage,TXC treatment at the moderate dose significantly alleviated joint pain,promoted cartilage repair,and upregulated the mRNA expression levels of CXCL12,GDF5,collagen II,aggrecan,Comp and Sox9 in the cartilage tissue.In primary mouse SMSCs,CXCL12 knockdown resulted in significant reduction of GDF5 protein expression,migration ability and Sox9 protein expression,and these changes were obviously reversed by TXC treatment.Conclusion TXC promotes chondrogenic differentiation of mouse SMSCs to promote repair of cartilage damage in mice by activating the CXCL12/GDF5 pathway.

OBJECTIVE: To assess the clinical value of digital PCR (dPCR) for the prenatal diagnosis of common fetal aneuploidies. METHODS: A dPCR-based assay was developed for detecting trisomies 21, 18, and 13. A retrospective analysis was carried out on 173 amniotic fluid samples collected by the Prenatal Diagnosis Center of Taizhou Hospital between January 2017 and December 2023. By using chromosomal karyotyping as the gold standard, the diagnostic performance of the multiplex dPCR system was evaluated in a double-blind manner. This study has been approved by the Ethics Committee of Taizhou Hospital (Ethics No. K20250339). RESULTS: Chromosomal karyotyping has identified 59 cases of trisomy 21, 5 cases of trisomy 18, 2 cases of trisomy 13, 6 cases with chromosomal structural abnormalities or mosaicisms, and 101 cases with a normal karyotype. The dPCR results (Z-score cutoff = 4.0, CI = 99.997%) showed full concordance with karyotyping (sensitivity = 100%, specificity = 100%, Kappa = 1). Among the 6 structurally abnormal or mosaicism samples, dPCR has accurately detected 4 cases, but mis-classified 2 cases of trisomy 21 with very low-level mosaicisms (3.3%, 6.9%, respectively) as normal. CONCLUSION The established multiplex dPCR system demonstrated high diagnostic accuracy for common chromosomal aneuploidies, with results available within 24 hours. It can serve as an efficient supplementary tool to conventional chromosomal karyotyping, providing reliable support for time-sensitive clinical decision-making in prenatal diagnosis.
Humans ; Female ; Pregnancy ; Aneuploidy ; Prenatal Diagnosis/methods* ; Karyotyping ; Retrospective Studies ; Polymerase Chain Reaction/methods* ; Chromosome Disorders/genetics* ; Adult ; Trisomy 13 Syndrome/diagnosis* ; Trisomy 18 Syndrome/genetics* ; Down Syndrome/genetics*

Polygonatum sibiricum， as a traditional Chinese medicine with both medicinal and edible properties， has attracted considerable attention due to its functions of nourishing Yin and moistening the lungs， tonifying the spleen and benefiting Qi， and nourishing the kidneys and filling essence. Recent studies have demonstrated that Polygonatum sibiricum plays a significant role in regulating the immune system， effectively enhancing and improving the morphology and function of immune organs， stimulating the proliferation and activation of immune cells， and regulating the secretion and release of immune factors， thereby enhancing the immune function of the body and improving various immune-related diseases. Although a large number of studies have explored the pharmacological effects and mechanisms of P. sibiricum， there has been no systematic review and summary of its immune regulatory activity and mechanisms. Therefore， this article comprehensively reviews the research achievements of P. sibiricum polysaccharides and saponins in the field of immune regulation in recent years， and further sorts out the immune regulatory mechanisms of P. sibiricum in multiple aspects： including increasing the organ index of the spleen and thymus， increasing the number and activity of tumor-suppressive bone marrow hematopoietic stem cells， improving intestinal flora imbalance， regulating the quantity and proportion of T lymphocyte subsets， increasing the level of immunoglobulin， promoting the proliferation of macrophages， enhancing the activity of natural killer cells， increasing the number of white blood cells， and promoting the maturation of dendritic cells， providing a solid theoretical basis and scientific evidence for the research and application of P. sibiricum， and promoting its development and application in traditional Chinese medicine immune enhancers and various functional products.

Objective To aim at using machine learning algorithms to predict the risk of neonatal intensive care unit(ICU)mortality,providing clinicians with an early diagnosis and risk assessment tool to assist in decision-making.Methods Clinical data of preterm infants from the paediatric intensive care database retrospectively were collected.By using least absolute shrinkage and selection operator(LASSO)regression analysis and multivariate Logistic regression analysis,key clinical characteristics affecting preterm infant prognosis were screened.The study was balanced the data by using the synthetic minority oversampling technique,combined seven machine learning models to build a predictive model and evaluate its performance.The Shapley additive explanations(SHAP)was used for model interpretation.Results A total of 923 preterm infants were finally included,survival group comprised 886 infants,and death group comprised 37 infants.A total of 38 clinical characteristics were collected.LASSO screening identified 8 variables significantly associated with neonatal ICU mortality,including lactate,respiratory rate,chloride concentration,neutrophils,and red blood cell distribution width etc.Multivariate Logistic regression analysis revealed that lactate and respiratory rate were independent predictors of neonatal ICU outcomes.Internal testing and external validation showed that light gradient boosting machine model outperformed other models in terms of accuracy and precision etc.indicators.SHAP analysis indicated that respiratory rate and lactate levels had the largest predictive contribution to the risk of preterm infants mortality.Conclusion This study provides reliable tools for early identification and intervention in the prognosis of preterm infants,emphasizing the importance of key indicators.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.