ObjectiveThe exacerbating trend of global population aging poses profound socioeconomic and public health challenges, making the comprehensive elucidation of biological aging mechanisms and the discovery of effective anti-aging interventions an urgent priority in the life sciences. Based on our previous serum metabolomics findings that dimethylglycine, an intermediate metabolite of amino acid metabolism naturally present in the human body, was significantly enriched in the serum of longevity families, this study aimed to systematically investigate the anti-aging effects of dimethylglycine both in living organisms and in controlled laboratory environments, and to preliminarily elucidate its underlying molecular mechanisms. While existing literature indicates that dimethylglycine possesses antioxidant and immunomodulatory properties, its direct anti-aging efficacy and the specific molecular pathways through which it operates remain largely unexplored. MethodsTo comprehensively evaluate the anti-aging properties of dimethylglycine, we utilized replicative senescent human embryonic lung fibroblasts, specifically the WI-38 cell line, as an experimental model in a controlled laboratory environment. Cell viability and safety were thoroughly assessed using Cell Counting Kit-8 and lactate dehydrogenase release assays across various concentrations of dimethylglycine. The impact of dimethylglycine on cellular senescence phenotypes, oxidative stress, and proliferative capacity was evaluated via senescence-associated beta-galactosidase staining, reactive oxygen species fluorescence detection, and 5-ethynyl-2'-deoxyuridine incorporation assays. Furthermore, the molecular alterations of senescence-associated secretory phenotype factors and core senescence signaling pathways were quantified using quantitative reverse transcription polymerase chain reaction for the messenger RNA levels of interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1, and enzyme-linked immunosorbent assay for the measurement of p16 and p21 protein expression levels. For the living organism model, the wild-type nematode Caenorhabditis elegans was used to evaluate systemic physiological effects. We conducted a comprehensive lifespan analysis at 20°C, heat stress resistance survival assays at 35℃, senescence-associated beta-galactosidase staining, lipofuscin accumulation tracking, intracellular reactive oxygen species measurement, and Oil Red O staining to ascertain systemic lipid accumulation. Additionally, network pharmacology bioinformatics tools, including PharmMapper and STRING databases, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were utilized to predict target pathways, alongside highly detailed molecular docking simulations utilizing SwissDock and Protein-Ligand Interaction Profiler to examine interactions with the cytochrome P450 family 2 subfamily C member 9 protein. ResultsThe experimental outcomes robustly demonstrate the potent anti-aging capabilities of dimethylglycine. At the cellular level, toxicity analyses firmly confirmed that dimethylglycine is highly safe; continuous treatment with 50 mol/L and 70 mol/L of dimethylglycine for 5 d did not induce any cellular membrane damage or cytotoxicity, but rather actively promoted cellular proliferation. Utilizing the optimal standardized concentration of 50 mol/L, dimethylglycine treatment significantly ameliorated senescent phenotypic markers in human embryonic lung fibroblasts, which was evidenced by a drastic and highly significant reduction in the senescence-associated beta-galactosidase positive cell percentage (P<0.000 1) and intracellular reactive oxygen species levels (P<0.000 1), alongside a marked increase in the 5-ethynyl-2'-deoxyuridine-positive proliferation rate (P=0.003 5). On a molecular expression scale, dimethylglycine significantly downregulated the messenger RNA expression of multiple core senescence-associated secretory phenotype inflammatory factors, including interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1. Concurrently, it effectively suppressed the protein expression of critical cell cycle arrest markers, diminishing p16 protein levels by 57.3% (P=0.000 4) and p21 protein levels by 27.2% (P=0.000 7). In the nematode Caenorhabditis elegans animal model, dimethylglycine significantly extended the mean lifespan from 20.402 d to an impressive 23.066 d (P<0.000 1) and notably enhanced overall survival rates under severe heat stress environmental conditions (P=0.017). Furthermore, systemic dimethylglycine intervention significantly mitigated age-related physiological decline by decreasing bodily lipofuscin accumulation (P<0.000 1), significantly reducing senescence-associated beta-galactosidase activity, lowering systemic reactive oxygen species fluorescence (P=0.008), and effectively alleviating overall fat accumulation (P<0.000 1). Mechanistically, extensive network pharmacology and Kyoto Encyclopedia of Genes and Genomes analyses strongly revealed that the potential targets of dimethylglycine are significantly enriched in fundamental drug metabolism and oxidative stress response pathways. Precision molecular docking simulations conclusively demonstrated that dimethylglycine forms highly stable structural interactions with the cytochrome P450 family 2 subfamily C member 9 protein, specifically highlighting the definitive formation of 5 stable hydrogen bonds involving serine 365, leucine 366, and serine 429 residues, as well as two critical salt bridge formations with arginine 97 and histidine 368 residues. It is additionally predicted to interact favorably with glutathione S-transferase family proteins. ConclusionDimethylglycine exhibits a profoundly significant and multifaceted anti-aging activity at both the cellular and entire living animal levels. By powerfully alleviating oxidative stress, heavily suppressing the core p16 and p21-dependent cellular senescence signaling pathways, and substantially mitigating the detrimental senescence-associated secretory phenotype, dimethylglycine effectively delays fundamental cellular senescence processes and drastically extends whole-organism lifespan. The biological mechanisms driving these robust protective effects are highly likely closely associated with its direct stable interactions with crucial metabolic and detoxifying enzyme systems, such as cytochrome P450 family 2 subfamily C member 9 and glutathione S-transferase family proteins, thereby systemically improving metabolic dysregulation and restoring critical redox homeostasis. This comprehensive study provides highly solid experimental evidence supporting dimethylglycine as a highly potent and safe potential anti-aging intervention agent, while simultaneously offering a clear molecular mechanistic explanation for the previously documented high abundance of dimethylglycine observed within exceptionally long-lived human populations.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

OBJECTIVE To develop and validate interpretable machine learning models for predicting the risk of medication-related osteonecrosis of the jaw （MRONJ） and surgical outcomes， thereby providing quantitative support for MRONJ risk assessment and treatment decision-making.METHODS Two study cohorts were established. Cohort A adopted a nested case-control study design to develop a predictive model for the risk of MRONJ onset. Cohort B comprised patients with MRONJ from Cohort A who underwent surgical treatment and met the follow-up eligibility criteria， and employed a prospective follow-up cohort study design to develop a predictive model for the efficacy of MRONJ surgery. After missing-data processing， variable standardization， and encoding， predictive features were selected using the least absolute shrinkage and selection operator （LASSO） regression， and collinearity was assessed using the variance inflation factor （VIF）. Random Forest （RF）， eXtreme Gradient Boosting （XGB）， Multi-layer Perceptron （MLP）， Support Vector Machine （SVM）， and Gaussian Naive Bayes （NB） models were subsequently developed using the selected features. Hyperparameter optimization and internal performance evaluation were performed using two-level nested cross-validation repeated 20 times. In Cohort B， the synthetic minority over-sampling technique （SMOTE） was applied within the inner training folds to address class imbalance. Model performance was comprehensively evaluated using the receiver operating characteristic （ROC） curve， the precision-recall （PR） curve， calibration curve， and decision curve analysis （DCA）. Shapley additive explanations （SHAP） were used to quantify the relative contributions of individual clinical features to model predictions.RESULTS Seven clinical features， including alkaline phosphatase and tooth extraction， were retained for Cohort A； whereas eight clinical features， including age and duration of medication use， were retained for Cohort B. In Cohort A， the area under the ROC curve， the area under the PR curve， Brier score， sensitivity， and specificity of the RF model were 0.94， 0.92， 0.09， 0.92， and 0.85， respectively； the corresponding values in Cohort B were 0.93， 0.93， 0.12， 0.83， and 0.93， respectively. The results of calibration curves and DCA indicated that the RF models achieved favorable calibration and clinical net benefit， with VIF values for all variables below 5. SHAP visualization results showed that alkaline phosphatase， tooth extraction， and cumulative drug dose made substantial contributions to MRONJ risk prediction in Cohort A， whereas age， duration of medication use， and MRONJ stage contributed substantially to surgical outcome prediction in Cohort B.CONCLUSIONS The RF-based models for predicting MRONJ risk and surgical outcomes demonstrated good discrimination， accuracy of probabilistic predictions， and potential clinical utility during internal validation. These models may provide decision support for comprehensive MRONJ risk management and individualized clinical decision-making. However， external validation in independent， multicenter， and geographically diverse cohorts is still required.

This paper systematically analyzes schistosomiasis transmission risks during the elimination stage and reviews the evolution of the schistosomiasis surveillance system in China from a One Health perspective, with a special emphasis on schistosomiasis surveillance and response practices during the elimination stage from a One Health perspective. These practices include precise screening of human schistosomiasis under low-endemicity conditions, systematic monitoring of schistosomiasis in domestic and wild animals, ecological management of Oncomelania snails, and information-coordinated responses. Nevertheless, the current surveillance and response system for schistosomiasis suffers from challenges of insufficient cross-sectoral coordination and complex external environments, which constrain precise schistosomiasis surveillance and response in China. Therefore, it is urgently necessary to integrate coordination mechanisms, empower the surveillance system with technological innovation, improve capacity building, and actively promote diverse social participation in the One Health framework, so as to consolidate current schistosomiasis control achievements and achieve the target for schistosomiasis elimination across China, which may provide a replicable technical model for global zoonoses control.

Objective To observe the effects of wheat grain moxibustion on the hippocampal ERK/CREB-BDNF/TrkB signaling pathway and neurotransmitters in rats with perimenopausal depressive disorder(PDD);To explore its mechanism in treating PDD.Methods Totally 24 female SD rats were randomly divided into sham-operation group,model group,Western medicine group and wheat grain moxibustion group,with 6 rats in each group.The PDD rat model was established by bilateral ovariectomy and chronic unpredictable mild stress.The wheat grain moxibustion group received moxibustion at the"Zhongwan","Xiawan","Qihai","Guanyuan"acupoints,with a conical moxa cone for intervention,6 cones per acupoint;the Western medicine group was given fluoxetine hydrochloride solution 1.8 mg/kg by gavage,once a day,for consecutive 21 d.Before and after modeling and after intervention,the body mass,sucrose water preference rate and immobility time in the forced swimming test of the rats were recorded;Transmission electron microscopy was used to observe the synaptic structure in hippocampal tissue;ELISA was used to detect the expressions of 5-HT,GABA and Glu in hippocampal tissue;Western blot was used to detect the expressions of ERK,p-ERK,CREB,p-CREB,BDNF and TrkB proteins in hippocampal tissue.Results Compared with the sham-operation group,the body mass and sucrose water preference rate of the model group decreased,and the immobility time in the forced swimming test was prolonged(P<0.01);the number of synaptic vesicles in hippocampus decreased,the thickness of the postsynaptic density decreased,the aggregation of transduction-related proteins decreased,the synaptic cleft increased;the contents of 5-HT and GABA in hippocampal tissue decreased,the content of Glu increased,and the expressions of p-ERK,p-CREB,BDNF and TrkB proteins decreased(P<0.01).Compared with the model group,the body mass and sucrose water preference rate of the rats in Western medicine group and wheat grain moxibustion group increased,and the immobility time in the forced swimming test was shortened(P<0.01);the area of the postsynaptic density in the hippocampus increased,the synaptic cleft reduced,the contents of 5-HT and GABA in hippocampal tissue increased,the content of Glu decreased,and the expressions of p-ERK,p-CREB,BDNF and TrkB proteins increased(P<0.01).Conclusion Wheat grain moxibustion can effectively alleviate depressive-like behavior in PDD rats,and its mechanism may be related to regulating neurotransmitter expressions and mediating the ERK/CREB-BDNF/TrkB signaling pathway,thereby regulating hippocampal neuroplasticity.

AIM To investigate the effects of Wuzi Yanzong Pills on subacute aging-induced testicular trauma and AMPK/mTOR pathway in rats.METHODS Rat models of subacute aging were induced by 8-week subcutaneous injection of D-gal(200 mg/kg)into the rat neck,followed by their random assignment into the model group,the metformin group(0.3 g/kg)and the low-dose and high-dose Wuzi Yanzong Pills groups(0.54,2.16 g/kg),with 9 rats in each group,in contrast to the 8 intact rats of the normal group.And the corresponding drug was given by gavage for 4 weeks after modeling,after which the rats had their levels of serum T,FSH,SOD,LH,8-OHdG and MDA detected by ELISA;their pathological changes of testes observed by HE and β-galactosidase staining;and their expressions of aging-related proteins(p16,p21,p53),testicle secretory function-related proteins(CYP11A1,HSD17B3,STAR),autophagy-related proteins(p62,ATG5,Beclin-1,LC3B)and AMPK/mTOR pathway-related protein detected by Western blot and immunohistochemistry.RESULTS Compared with the normal group,the model group displayed morphologically smaller testes and body surface;dry hair;overall atrophic testicular tissue structure;increased testicular protein expressions of γ-H2AX,p16,p21 andβ-galactosidase(P＜0.05,P＜0.01);and decreased p53 protein expression(P＜0.05);suggesting the modeling success.Compared with the model group,the high-dose Wuzi Yanzong Pills group shared decreased levels of serum 8-OHdG,MDA,FSH and LH(P＜0.01);increased levels of SOD and T(P＜0.01);improved sperm damage and almost morphologically normal testicular tissue;decreased testicular protein expressions of p16,p21,p53,p62 and p-mTOR(P＜0.01);and increased protein expressions of CYP11A1,HSD17B3,STAR,ATG5,Beclin-1,LC3B and p-AMPK(P＜0.01).CONCLUSION Wuzi Yanzong Pills can improve the subacute aging-induced testicular injury and testicular function in rats by reducing their oxidative stress through improving their autophagy level and testicle antioxidant capacity.

Objective:To verify the performance of the immunoturbidimetric assay(ITMA)kit of detecting oxidized low-density lipoprotein(ox-LDL).Methods:In accordance with the requirements of China National Accreditation Service for Conformity Assessment[(CNAS)-GL037:2019]and the National Health Industry Standards,the precision,trueness,linear range and reportable range of ITMA test kit for ox-LDL were verified on AU5800 fully automatic biochemical analyzer,which were compared with enzyme linked immunosorbent assay(ELISA)of Mercodia comparison reagents for ox-LDL through experiment of methodological comparison.Results:The coefficients of variation(CV)values of within-run and between-run precisions of the two concentration levels of quality control materials in the ITMA reagent kit for ox-LDL were respectively(3.74%,3.36%)and(4.75%,5.49%).The trueness bias of the two concentration levels of standards were respectively 0.46%and 1.78%,and the linear range was(15-120 U/L),which verification regression coefficient was R2=0.999 5 with a slope of 0.989.The maximum dilution multiple was 4 times,and the upper limitation of the clinically reportable range was 240.00 U/L.The manufacturer-provided biological reference interval was 0-64.49 U/L,and the coincidence rate was 100%.The results of hemoglobin,bilirubin,triglycerides,high density lipoprotein(HDL),low density lipoprotein(LDL)and rheumatoid factor were respectively 10 mg/ml,342 μmol/L,10.0 mg/ml,100 mg/dl,200 mg/dl,<200 IU/ml.The stationary duration was there was not influence within 30 h after opened the kit.The correlation between ITMA and ELISA detection methods was excellent(R2=0.9766).The positive and negative coincidence rates of clinical identification were respectively 92.3%and 96.5%.Conclusion:The performances of ox-LDL ITMA test kit based on fully automatic biochemical analyzer can all meet the requirement of clinical application,which shows excellent consistency with the results of ELISA method.

Objective:To investigate the longitudinal association between the Chinese Visceral Adiposity Index(CVAI) and cardiovascular disease(CVD) risk in middle-aged and elderly individuals with abnormal glucose metabolism.Methods:A total of 3 662 individuals with abnormal glucose metabolism from the China Health and Retirement Longitudinal Study(CHARLS) database were included. The cumulative incidence of CVD events was estimated using Kaplan-Meier curves. Cox proportional hazards models were used to assess the association between CVAI and CVD events, and a multivariate-adjusted restricted cubic spline(RCS) curve was fitted to test the dose-response relationship between CVAI and incident CVD events. Subgroup analyses were also conducted to explore potential effect modifiers. Results:During the follow-up, 844 participants experienced CVD events. In the fully adjusted model, every interquartile range( IQR) increment in CVAI was significantly associated with an increased risk of CVD events, with a hazard ratio( HR)[95% confidence interval( CI)] of 1.22(1.11-1.35). Compared to the first quartile( Q1) of CVAI, the HRs(95% CI) for CVD event incidence in Q2- Q4 were 1.22(0.98-1.52), 1.29(1.05-1.61), and 1.51(1.22-1.88), respectively. Subgroup analysis indicated a significant interaction effect between CVAI and age on the risk of CVD events in individuals with abnormal glucose metabolism( P for interaction <0.05). No significant interactions were found for gender, body mass index(BMI), waist circumference(WC), smoking, alcohol consumption, and hypertension(all P for interaction >0.05). Furthermore, the multivariate-adjusted RCS regression revealed a significant dose-response relationship between CVAI and CVD events( P<0.001, P for nonlinearity=0.568). Conclusions:In middle-aged and elderly individuals with abnormal glucose metabolism, CVAI is independently associated with an increased risk of incident CVD events and may serve as a reliable surrogate marker for assessing visceral adiposity in this population. Regular monitoring of CVAI should be considered for integration into routine clinical practice to improve CVD prevention in individuals with abnormal glucose metabolism.

Objective:To analyze the registration status of clinical trials of TCM treatment for functional dyspepsia (FD); To provide references for relevant clinical trial registration and implementation.Methods:The clinical registration trials of TCM for the treatment of FD were retrieved from ChiCTR and clinicaltrials.gov until January 1st, 2025. Excel 2019 was used to extract and analyze study characteristics, including basic information (registration time, country/region, institution, funding source), study features and quality (study type, trial design, phase, number of centers, sample size, interventions, outcome measures, methodological quality, reporting quality), as well as recruitment status and ethical review.Results:A total of 89 registered studies were included. Registration began in 2008 with 3 studies, peaking in 2021 with 14 studies. The studies involved 6 countries, with domestic trials covering 18 provincial-level regions in China and 52 clinical trial institutions. Primary funding sources were national funding and pharmaceutical company support. Most studies were interventional with randomized parallel-controlled designs, commonly using simple randomization. Post-marketing drug trials were the most frequent phase, and single-center trials predominated, involving a total sample size of 19 776 cases. Common interventions included acupuncture/massage and Chinese patent medicines. Frequently used outcome measures were effectiveness rate, symptom evaluation, and quality of life assessment, though issues existed with non-standardized reporting and lack of TCM-specific indicators. Methodological quality needed further improvement.Conclusions:Although the number of registered clinical trials of TCM treatment for FD has increased, the overall quantity remains insufficient. Researchers should emphasize optimization of registration details and study protocols to further enhance registration quality.

Objective To study the mandibular characteristics of the modern population in Beijing region.Methods In this study,we examined 22 measurements and their sexual dimorphism index(SDI)of 193 adult mandibles(126 males,67 females)collected from the Beijing region.In addition,eight mandibular indexes were calculated.These mandibular dimensions of the Beijing population were compared with those of other modern and contemporary populations in Asia,as well as Neolithic-historical populations in Northern China.Results The predominant mandibular index in the contemporary Beijing population was dolichostenomandibular.The SDI of mandibular size exhibited a wide range of variation.It was noteworthy the minimum height of mandibular ramus,height of mandibular ramus,height of coronoid process and minimum breadth of mandibular ramus demonstrate significant sexual dimorphism(SDI≥10％).The mandibular size aligned with the variation range of modern and contemporary Asian populations,with the cluster analysis indicating an affiliation with Northern Mongoloids.But the Beijing population was far away from other Northern populations in China.The mandibular size was more gracile compared to ancient populations in Northern China,whereas the height of mandibular ramus was greater than those of the latter.Conclusion This study provides valuable insights into the physical characteristics of modern populations in Beijing region.