1.Study on The Anti-aging Effects of Longevity-enriched Metabolite Dimethylglycine
Jie HU ; Gong-Yu PU ; Jun-Lin LI ; Ju CAO ; Zhi-Xin LIN ; Wei-Wei AN ; Xue-Meng LI ; Jing AN
Progress in Biochemistry and Biophysics 2026;53(4):1048-1061
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.
2.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
Background:
s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model.
Methods:
Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort.
Results:
In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM).
Conclusions
Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
3.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
4.Imaging guided percutaneous microwave ablation for unresectable pancreatic cancer:A multicenter retrospective study
Shuilian TAN ; Jie ZHOU ; Ping LIANG ; Xiaoling YU ; Xin YE ; Gang DONG ; Xiang JING ; Guanghui HUANG ; Zhen WANG ; Mengfan PENG ; Yan ZHOU ; Jie YU ; Zhiyu HAN ; Fangyi LIU ; Hongjian GAO ; Yubo ZHANG ; Zhigang CHENG
Chinese Journal of Medical Imaging Technology 2025;41(7):1109-1112
Objective To explore the feasibility and safety of ultrasound-guided percutaneous microwave ablation for unresectable pancreatic cancer.Methods Totally 84 patients who underwent ultrasound-guided percutaneous microwave ablation for unresectable pancreatic cancer were enrolled,and the technical success rate,complete ablation rate,complication rate,pain relief rate and survival time,etc.were observed.Results The median age of 84 cases was 61.5 years.Totally 86 tumors,including 44.19%(38/86)at the head/neck and 55.81%(48/86)at the body/tail of pancreas were detected,and a total of 85 ablation sessions were performed with the median ablation energy applied per tumor of 9.90(1.08,21.60)kJ and the complete ablation rate of 42.86%(36/84).The technical success rate was 100%(85/85).Thirty-nine complication events occurred in 25 cases,no ablation-related death.Among 34 patients underwent ablation mainly for pain symptoms,the pain score decreased from(6.22±1.12)points before treatment to(1.94±1.64)points after treatment(P<0.001).During 6.8(3.3,12.9)months' follow-up,the mean survival time was(8.5±6.7)months,and all 47 patients died due to tumor progression.Conclusion Ultrasound-guided percutaneous microwave ablation was safe and feasible for unresectable pancreatic cancer.
5.Genetic variation analyses of human papillomavirus 39 and prediction of T and B Cell epitopes
Yuxiao ZHANG ; Yijuan YANG ; Li WANG ; Sihan LAN ; Jing YU ; Jie HE ; Hongping ZHANG ; Min FENG
Chinese Journal of Experimental and Clinical Virology 2025;39(1):9-17
Objective:This study aimed to analyze the genetic variation of the human papillomavirus (HPV) type 39 genomes and to predict and screen the dominant T-cell and B-cell epitopes of the viral early proteins (E1, E2, E6, E7) and late proteins (L1, L2).Methods:A total of 70 full-length sequences of HPV39 variants were retrieved from the clinical samples and the National Center for Biotechnology Information (NCBI) to construct a phylogenetic tree, analyze genetic polymorphisms, and predict the physicochemical properties of the viral proteins. Next, T-cell and B-cell epitopes were predicted using IEDB and ABCpred, and potential dominant epitopes were further selected based on parameters such as the secondary structure of the epitope region, peptide flexibility, hydrophilicity, surface accessibility and antigenicity. Finally, a homology analysis of the potential dominant epitopes was performed with 12 high-risk HPV types.Results:HPV39 variants from different sources can be clustered into two lineages (A and B), each exhibiting distinct mutation patterns. The mutation rate was the highest in E7 and the lowest in E1 among the different viral genes. However, these nucleotide/amino acid mutations did not significantly impact the physicochemical properties of the viral proteins. After prediction and screening, 5 and 6 potential dominant B-cell epitopes were identified in both L1 and L2, respectively. E1, E2, E6, and E7 yielded 18, 10, 4, and 1 potential dominant HLA-I restricted T-cell epitopes, respectively. Additionally, E1, E2, and E6 yielded 7, 3, and 2 potential dominant HLA-II restricted T-cell epitopes, respectively. Homology analysis indicated that T-cell dominant epitopes in E1, E2, and E6, as well as B-cell epitopes in L2, showed high homology (93%-100%) with HPV68, HPV33, HPV45, and HPV59.Conclusions:Bioinformatics analysis and prediction revealed that HPV39 variants can be clustered into two main evolutionary branches, A and B, each exhibiting a specific mutation pattern. The viral proteins contain potential dominant T-cell and B-cell epitopes that can be further investigated, providing valuable theoretical support for the development of HPV39-related peptide-based vaccines and therapeutics.
6.Assessment of the risk of retinal arteriosclerosis by the triglyceride glucose-WHR index
Fan WANG ; Dongning CHEN ; Jie ZHUO ; Jing CUI ; Yu LI ; Shenghua WANG
Chinese Journal of Preventive Medicine 2025;59(8):1246-1253
Objective:To investigate the relationship between Triglyceride Glucose-WHR index and retinal arteriosclerosis.Methods:Retrospective longitudinal cohort research method. Using data from the Tongren Health Care Study of Beijing Tongren Hospital from March 2014 to June 2020. The TyG-WHR index was calculated, the restricted cubic spine regression model was used to explore the dose-response relationship between TyG-WHR index and the risk of retinal arteriosclerosis. Cox proportional regression model was implemented to estimate the impact on the risk of retinal arteriosclerosis associated with the different TyG-WHR groups. Receiver operating characteristic were used to explore the value of triglyceride glucose-WHR index for the risk of retinal arteriosclerosis.Results:A total of 8 215 subjects were included, including 3 334 (40.58%) males, 4 881 (59.42%) females;7 689 cases had normal fundus, 296 cases had newly developed retinal arteriosclerosis, and 230 cases had retinal arteriosclerosis. The median age is 45 years old, and the average age is (47.63±13.89) years old. The cumulative incidence rate of new retinal arteriosclerosis was 3.71%(296/7 985), and the cumulative incidence rate of women (3.31%,158/4 767) was lower than that of men (4.29%, 138/3 218) ( χ2=5.105, P<0.001); The cumulative incidence rate of new retinal arteriosclerosis increased with age ( χ2=365.133, P<0.001); The TyG-WHR index was divided into four groups according to the interquartile range, and the Q2- Q4 group had an increased risk of developing new retinal arteriosclerosis compared to Q1 ( χ2=132.887, P<0.001).In the restricted cubic spine regression model, the results showed a non-linear dose-response relationship ( χ2=54.27, P<0.001) between baseline TyG-WHR index and the new-onset of retinal arteriosclerosis. By the multivariate Cox Regression models, three models were constructed in this study. TyG-WHR index was positively correlated with the risk of retinal arteriosclerosis: the HR (95% CI) of model 1-3 was 1.534,1.517 and 1.502.The AUC curve analysis verified that the prediction AUC of the TyG-WHR index for new-onset retinal arteriosclerosis was 0.755, the best prediction value was 7.343, the sensitivity was 90.2%, and the specificity was 75.60%. Conclusion:TyG-WHR index may be an independent risk factor for new-onset retinal arteriosclerosis.
7.Building a child-friendly hospital of multi-campuses based on lean six sigma method
Jing GAO ; Shurui MA ; Yingying YU ; Xiaomin ZHANG ; Fanlong BU ; Chenning YAO ; Senqi YANG ; Hao WU ; Zhe CAO ; Qi ZHOU ; Weilin LI ; Jie ZHANG
Chinese Journal of Hospital Administration 2025;41(8):580-586
Lean six sigma (LSS) emphasizes patient demand-oriented, and continuously optimizing prolesses to achieve efficiency and standardization in medical services. Starting in 2021, a specialized children′s hospital (comprising one main campus and three branch campuses) introduced the LSS management method. Through define, measure, analyze, improve, and control, the hospital utilized tools such as questionnaire surveys, SIPOC models, and fishbone diagrams to identify pain points in the building of multi-campus child-friendly hospital and develop improvement measures.To address the main issues of insufficient cross-campus collaboration, significant disparities in service quality among different campuses, unclear functional positioning of each campus, and inadequate integration with social security mechanisms, the hospital implemented a " homogeneity-differentiation-coordination" management mode. The hospital implemented unified diagnosis and treatment standards and clinical pathways, carried out remote consultations and expert rotations, completed mutual recognition of examination and testing results, optimized child friendly labeling and child friendly environment, and built a " hospital-to-hospitals, hospital to medical schools, and hospital to community health centers" linkage platform, etc., to promote the standardization of diagnosis and treatment processes, clear functional positioning of the hospital area, and efficient resource allocation. Through practice, the outpatient appointment rate and patient satisfaction rate in the main hospital had increased from 86.72% and 98.64% in January December 2021 to 91.87% and 99.72% in January December 2024, respectively; The patient waiting time had been shortened from 26.54 minutes to 21.94 minutes, and the efficiency of medical treatment and service experience had been significantly improved. As of 2024, mutual recognition of 214 inspection and testing items had been achieved cross hospital campuses, forming a collaborative pattern of " main hospital leading, campuses support, and resource complementarity", and significantly improving the level of collaboration and child friendly connotation among multi-campus. This practice explored the integration path of multi-campus collaborative governance and child-friendly services, which could provide reference and inspiration for the similar hospitals.
8.Effects of different nerve blocks under ultrasound guidance on inflammatory factors and cognitive function after total hip replacement in the elderly
Hai-lu XIA ; Jie LIU ; Xin LIU ; Jing-jing CUI ; Jian-hua WANG ; Yu-mo JING
Journal of Regional Anatomy and Operative Surgery 2025;34(3):223-227
Objective To explore the effects of different nerve blocks under ultrasound guidance on the expression of inflammatory factors after total hip replacement in the elderly,and its correlation with postoperative cognitive dysfunction(POCD).Methods A total of 100 elderly patients who underwent total hip replacement in our hospital from February to November 2023 were selected as the research objects,and they were divided into the femoral nerve block(FNB)group and the pericapsule nerve group block(PNGB)group according to different nerve block methods during the operation.The expression of inflammatory factors such as serum interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-10(IL-10),tumor necrosis factor-α(TNF-α)and tumor necrosis factor-β(TNF-β)1 day before surgery,6 hours after anesthesia,1 day after surgery,and 3 days after surgery of patients in the two groups were compared.The cognitive function of patients was evaluated by the mini-mental state examination(MMSE)score,and the pain of patients was evaluated by visual analogue scale(VAS)score.GEE model was used to evaluate the effects of two kinds of nerve block on the expression of inflammatory factors.Logistic regression was used to analyzed the correlation between postoperative inflammatory factors and POCD in patients.Results The levels of IL-1β,IL-6,IL-10,TNF-α and TNF-β 1 day after operation in the PNGB group were higher than those in the FNB group,and the differences were statistically significant(P<0.05).The MMSE score 1 day after surgery in the PNGB group was significantly higher than that in the FNB group(P<0.05),and the VAS score 3 days after surgery was significantly lower than that in the FNB group(P<0.05).GEE model showed that PNGB has a greater impact on IL-1β,IL-6,IL-10,TNF-α,and TNF-β.IL-1β,IL-6,IL-10,TNF-α,and TNF-β were all independently related to POCD induced by two different nerve blocks(P<0.05).Conclusion PNGB can effectively inhibit pro-inflammatory factors,reduce inflammatory stress responses,and maintain the balance of inflammatory factors.Inflammatory factors are independently related to POCD induced by different nerve blocks.With the occurrence of inflammatory stress response,the risk of POCD in patients increases.
9.Changing antimicrobial resistance profiles of Streptococcus pneumoniae isolated from pediatric patients in Chongqing area from 2011 to 2022
Jie ZHAO ; Xiaoyan YU ; Chunmei JING
Chinese Journal of Infection and Chemotherapy 2025;25(1):24-29
Objective To investigate the changing antimicrobial resistance profiles of Streptococcus pneumoniae isolates from children in Chongqing area from 2011 to 2022,and to provide evidence for rational use of antibiotics and prevention of nosocomial infections.Methods The clinical data of S.pneumoniae strains isolated from pediatric patients during 2011-2022 were retrospectively analyzed.Antimicrobial susceptibility testing was performed with commercial automated systems and E-test.The results were interpreted according to the breakpoints in CLSI document(2022 edition).Results A total of 26 668 strains of S.pneumoniae were isolated during the 12-year period.The proportion of S.pneumoniae was 16.0%in the total pathogenic bacterial isolates and 46.4%in all the gram-positive bacterial pathogens.S.pneumoniae strains were mainly isolated from respiratory specimens(97.1%),followed by blood samples(1.5%).The highest proportion of S.pneumoniae isolates was in infants(38.2%),followed by toddlers(32.4%),preschool age(22.9%),school age(5.6%),adolescents(0.6%)and neonates(0.4%).All of the 38 strains of nonmeningitis SS.pneumoniae(0.1%)isolated from cerebrospinal fluid were resistant to penicillin.Overall,35.7%and 32.4%of these strains were resistant to cefotaxime and meropenem,respectively.The majority of S.pneumoniae(99.9%,26 630/26 668)were nonmeningitis isolates.The prevalence of penicillin-susceptible(PSSP),-intermediate(PISP),and-resistant(PRSP)strains was 71.9%(16 083),25.1%(5 610),and 3.0%(674),respectively.The prevalence of PRSP in infants and preschool children was higher than that in other age groups.The nonmeningitis S.pneumoniae isolates showed higher than 95%resistance rate to erythromycin,clindamycin and tetracycline,but 0.2%,0.2%and 0.1%resistance rate to levofloxacin,moxifloxacin and rifampicin,respectively.No S.pneumoniae strains were found resistant to vancomycin or linezolid.Conclusions The proportion and antimicrobial resistance profiles of S.pneumoniae strains isolated from pediatric patients varied with age group and specimen type.The decreasing prevalence of PRSP may inform empirical treatment of S.pneumoniae infections in children in Chongqing area.
10.Development of a clinical prediction model for cervical instability in young and middle-aged adults based on machine learning
Jing LI ; Guangqi LU ; Minghui ZHUANG ; Ying CUI ; Zhangjingze YU ; Xinyue SUN ; Mingming MA ; Liguo ZHU ; Jie YU
Chinese Journal of Tissue Engineering Research 2025;29(33):7203-7210
BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P<0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

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