Immune checkpoint inhibitors (ICIs) have demonstrated substantial therapeutic efficacy in the treatment of non-small cell lung cancer (NSCLC); however, their clinical application is associated with unique immune-related adverse effects (irAEs). Among these adverse events, immune checkpoint inhibitor-related pneumonitis (CIP) is rare yet serious, which may potentially result in severe respiratory failure, thereby requiring close clinical monitoring. Research specifically focusing on CIP in NSCLC patients treated with PD-1 inhibitors remain limited. This study targets this distinct cohort to comprehensively investigate the clinical and radiological determinants associated with overall survival, applying time-dependent covariate Cox regression to capture the dynamic impact of prognostic factors over time. A total of 102 NSCLC participants who received immunotherapy with programmed cell death protein-1 (PD-1) inhibitors and then developed CIP were retrospectively enrolled in this study. Univariate and multivariate time-dependent covariate Cox regression models were constructed to determine associations between CIP features and survival benefits of CIP patients. The incidence of CIP was 15

BackgroundDespite the establishment of multiple nutrition-inflammation indices, their performances in guiding clinical decision-making have not been systematically compared in patients with non-small cell lung cancer (NSCLC). This study aimed to identify the best nutrition-inflammation index for facilitating perioperative management and prognosis analysis in NSCLC patients.MethodsThis study included NSCLC patients who underwent video-assisted thoracoscopic lobectomy as their primary treatment. Nutrition-inflammation indices were calculated based on blood tests and anthropometric measurements conducted within one week prior to surgery. A total of 11 nutrition-inflammation indices were compared for their performance in predicting perioperative and survival outcomes.ResultsThe cohort consisted of 805 patients, with a mean age of 60.3 years, including 388 females (48.2%) and 417 males (51.8%). Postoperative complications occurred in 152 patients (18.9%). The median follow-up time after surgery was 64.5 months. Most nutrition-inflammation indices demonstrated predictive values for perioperative complications, delayed hospital discharge, and survival outcomes, but with relatively low predictive accuracy. After adjusting for clinicopathological characteristics, most indices were no longer associated with these therapeutic outcomes. Among these indexes, the lymphocyte-to-monocyte ratio showed the best performance in predicting perioperative complications and delayed hospital discharge, while the geriatric nutritional risk index showed the best performance in predicting overall survival and disease-free survival.ConclusionThe current nutrition-inflammation indices demonstrated predictive values for therapeutic outcomes in NSCLC patients, but their utility in clinical practice may be limited due to generally weak independent associations. Future studies should focus on exploring more comprehensive nutrition-inflammation biomarkers for assisting clinical decision-making.

DNA methylation is a promising biomarker for early cancer detection; however, traditional detection methods require bisulfite treatment and nucleic acid amplification, which are costly and impractical for point-of-care use. We propose a facile method that leverages immunoassays and surface-enhanced Raman scattering (SERS) readouts for the multiplex, sensitive, and portable detection of lung cancer-related DNA methylation biomarkers. This approach employs 5-methylcytosine antibody-modified magnetic probes to enrich methylated DNA sequences and uses core-shell nanoparticles with Probe DNA as SERS nanotags for multiplex detection, eliminating the need for bisulfite treatment and nucleic acid amplification. The multiplex SERS immunoassay detects synthetic methylated SHOX2 and RASSF1A with detection limits of 0.52 pM and 0.66 pM, respectively. It shows a strong correlation with quantitative PCR results in analyzing methylated SHOX2 and RASSF1A from cell lines and formalin-fixed paraffin-embedded tissue samples (n = 35). Additionally, the random forest analysis based on methylated SHOX2 and RASSF1A expression distinguishes lung cancer from benign lung diseases with a clinical sensitivity of 96 %, specificity of 90 %, and an AUC value of 0.972. This method offers a significant advancement for DNA methylation research and clinical applications.

BACKGROUND:Circadian rhythms regulate immune cell activity, influencing responses to vaccines, and immune checkpoint inhibitors (ICIs). Early time-of-day administration (ToDA) of singe-agent ICIs has been associated with improved overall survival (OS) in patients with metastatic "immunotherapy sensitive" cancers. However, the impact of ToDA on OS in patients receiving combination therapy with ICIs and chemotherapy for advanced non-small cell lung cancer (NSCLC) remains unclear. METHODS:This retrospective study included patients from oncology units in Paris, France (Cohort 1) and Hunan, China (Cohort 2) who received first-line immuno-chemotherapy for stage IIIC or IV NSCLC between January 2018 and October 2023. The primary outcome was OS. The median ToDA of the initial four ICI infusions was computed for each patient. Hazard ratio (HR) for death or progression were determined using cut-off times ranging from 10:30 to 13:00. Kaplan Meier and Cox models were used to estimate OS and progression-free survival (PFS) adjusting for main patient characteristics. FINDINGS:The study included 713 patients (Cohort 1, n = 165; Cohort 2, n = 548). Pembrolizumab was the most common ICI (51%), which was used with either pemetrexed-carboplatin/cisplatin (49%) or paclitaxel-carboplatin (51%). The optimal ToDA cut-off was 11:30, with patients receiving immuno-chemotherapy before 11:30 showing significantly improved OS (33.0 months [95% CI, 27.5-41.0] vs 19.5 months [18.0-22.5]; p < 0.0001). Multivariable analysis confirmed that earlier ToDA was associated with better OS (adjusted HR = 0.47 [95% CI, 0.37-0.60]). ToDA significantly impacted OS in each cohort and for PFS and response rates in each cohort and the pooled data. INTERPRETATION:This sizeable bi-continental study provided real-world evidence that morning administration of standard first-line immuno-chemotherapy was associated with improved clinical outcomes compared to afternoon dosing in patients with NSCLC. Randomised trials are required to validate this finding and inform recommendations for clinical practice. FUNDING:National Natural Science Foundation of China (82222048, 82003206, 82173338, and 82102747).

BACKGROUND:Asthma is a chronic respiratory disease characterized by reversible airway obstruction and persistent airway inflammation, presenting as a highly heterogeneous disorder in children. Further understanding of its complexity is essential to identify applicable biomarkers and targeted therapies. Interleukin-25 (IL-25) has been shown to play a critical role in the pathogenesis of asthma. METHODS:To investigate the association between IL and 25 expression and clinical characteristics, we enrolled46 children with asthma (age 6-17 years)and15 age-matched healthy controls. Asthma patients were stratified intoGroup A (untreated, n = 24)andGroup B (treatment-controlled, n = 22). IL-25 protein levels in serum and IL-25 mRNA in induced sputum were quantified usingELISA and PCR, respectively. RESULTS:No significant intergroup differences existed in age (P = 0.32), sex (P = 0.67), or BMI (P = 0.144).IL-25 mRNA in sputumwas significantly elevated in both groups versus controls (P < 0.001 in Group A and P < 0.05 in Group B).Sputum IL-25 protein levelswerehigher in Group A versus controls (P < 0.001) and Group B (P < 0.05). IL-25 mRNA expression in sputumwas significantly higher in Group A (without anti-asthma drugs) compared to Group B (with controlled asthma treated with anti-asthma drugs) (P < 0.05 in both induced sputum and blood). Furthermore, IL-25 mRNA expression correlated with CRP (P = 0.007), FeNO (P = 0.04), FEV1/FVC (%) (P = 0.01), induced sputum eosinophil count (%) (P = 0.03), disease severity (P = 0.042), and anti-asthma treatment (P < 0.05). Notably, IL-25 levels in induced sputum decreased significantly at both molecular and gene levels following anti-asthma treatment, suggesting its potential as a biomarker for evaluating treatment efficacy and asthma control. CONCLUSION:IL-25 expression in induced sputum may serve as a reliable biomarker in children with bronchial asthma, though further large-scale studies are needed to confirm these findings.

Purpose:Chronic obstructive pulmonary disease (COPD) patients are at increased risk of sepsis, a condition associated with high mortality. The anion gap (AG) is commonly used to assess acid-base disturbances, but its reliability declines in hypoalbuminemia. The albumin-corrected anion gap (ACAG) may provide greater accuracy, yet its prognostic value in COPD patients with sepsis, defined according to Sepsis-3 criteria, remains unclear. Patients and Methods:This retrospective cohort study analyzed 2072 ICU patients with COPD and sepsis from the Medical Information Mart for Intensive Care IV (MIMIC-IV). Cox regression models evaluated the association between ACAG and mortality, Kaplan-Meier curves illustrated survival differences, restricted cubic splines examined nonlinear relationships, and subgroup analyses assessed consistency across strata. Receiver operating characteristic (ROC) curves compared the predictive performance of ACAG, AG, and serum albumin. Results:Elevated ACAG was independently associated with both short- and long-term mortality. In fully adjusted models, each 1 mmol/L increase in ACAG was linked to higher risk of 28-day mortality (HR 1.064, 95% CI 1.042-1.086, P < 0.001) and 365-day mortality (HR 1.065, 95% CI 1.043-1.087, P < 0.001). A threshold effect was observed at ≥19.25 mmol/L, above which mortality risk increased markedly (28-day HR 1.336, 95% CI 1.126-1.586, P = 0.001; 365-day HR 1.429, 95% CI 1.208-1.691, P < 0.001). Kaplan-Meier survival analysis confirmed significant differences (log-rank P < 0.0001), and ROC analysis demonstrated that ACAG provided superior discrimination compared with AG and albumin for both 28-day (AUC = 0.734) and 365-day mortality (AUC = 0.696). Associations were consistent across clinical subgroups without significant interactions. Conclusion:Elevated ACAG was an independent predictor of 28-day and 365-day all-cause mortality in critically ill patients with COPD and sepsis. An inflection point of approximately 19.25 mmol/L identified a clinically meaningful threshold for risk stratification. As a simple and widely accessible parameter, ACAG may facilitate threshold-based triage and individualized management in this high-risk population, though external validation in multicenter prospective cohorts is warranted.

Background This study aimed to analyze the trends of Parkinson's disease (PD) mortality rates among Chinese residents from 2004 to 2021, provide evidence for the formulation of PD prevention and control strategies to improve the quality of life among PD residents. Methods Demographic and sociological data such as gender, urban or rural residency and age were obtained from the National Cause of Death Surveillance Dataset from 2004 to 2021. We then analyzed the trends of PD mortality rates by Joinpoint regression. Results The PD mortality and standardized mortality rates in China showed an overall increasing trend during 2004-2021 (average annual percentage change [AAPC] = 7.14%, AAPCASMR=3.21%, P < 0.001). The mortality and standardized mortality rate in male (AAPC = 7.65%, AAPCASMR=3.18%, P < 0.001) were higher than that of female (AAPC = 7.03%, AAPCASMR=3.09%, P < 0.001). The PD standardized mortality rates of urban (AAPC = 5.13%, AAPCASMR=1.76%, P < 0.001) and rural (AAPC = 8.40%, AAPCASMR=4.29%, P < 0.001) residents both increased gradually. In the age analysis, the mortality rate increased with age. And the mortality rates of those aged > 85 years was the highest. Considering gender, female aged > 85 years had the fastest mortality trend (annual percentage change [APC] = 5.69%, P < 0.001). Considering urban/rural, rural aged 80-84 years had the fastest mortality trend (APC = 6.68%, P < 0.001). Conclusions The mortality rate of PD among Chinese residents increased from 2004 to 2021. Male sex, urban residence and age > 85 years were risk factors for PD-related death and should be the primary focus for PD prevention.

Background Aberrant DNA methylation patterns play a critical role in the development of hepatocellular carcinoma (HCC). However, the molecular mechanisms associated with these aberrantly methylated genes remain unclear. This study aimed to comprehensively investigate the methylation-driven gene expression alterations in HCC using a multi-omics dataset. Methods Whole genome bisulfite sequencing (WGBS) and RNA sequencing (RNA-seq) techniques were used to assess the methylation and gene expression profiles of HCC tissues (HCCs) and normal adjacent tissues (NATs). The candidate genes’ potential function was further investigated using single-cell RNA sequencing (scRNA seq) data. Results We observed widespread hypomethylation in HCCs compared to NATs. Methylation levels in distinct genomic regions exhibited significant differences between HCCs and NATs. We identified 247,632 differentially methylated regions (DMRs) and 4,926 differentially expressed genes (DEGs) between HCCs and NATs. Integrated analysis of DNA methylation and RNA-seq data identified 987 methylation-driven candidate genes, with 970 showing upregulation and 17 showing downregulation. Four genes involved in the retinol metabolic pathway, namely ADH1A, CYP2A6, CYP2C8, and CYP2C19, were identified as hyper-downregulated genes. Their expression levels could stratify HCCs into three subgroups with distinct survival outcomes, immune cell infiltration, and tumor microenvironments. Validation of these findings in an independent dataset yielded similar outcomes, confirming the high concordance and potential prognostic value of these genes. ScRNA seq data revealed the low expression of these genes in immune cells, emphasizing their role in promoting malignant cell proliferation and migration. In conclusion, this study provides insights into the molecular characteristics of HCC, revealing the involvement of retinol metabolism-related genes in the development and progression of HCC. These findings have implications for HCC diagnosis, prognosis prediction, and the development of therapeutic targets.

Abstract Purpose Abnormal DNA methylation patterns play a critical role in the development of hepatocellular carcinoma (HCC). However, the molecular mechanisms associated with these aberrantly methylated genes remain unclear. In this study, we aimed to comprehensively investigate the methylation-driven deregulated gene expressions in HCC using a large cohort of patients with diverse clinical characteristics. Methods Whole-genome bisulfite sequencing (WGBS) and RNA sequencing techniques were used to assess the methylation and gene expression profiles of HCC tissue and normal adjacent tissues (NATs). The potential function of candidate genes was then investigated using single cell RNA-seq (sc-RNA seq) data. Results We identified 132,773 differentially methylated regions (DMRs) and 4,322 differentially expressed genes (DEGs) between HCC and NATs. Integrated DNA methylation and RNA-seq data obtained 987 methylation-driven candidates, including 970 upregulated and 17 downregulated genes. Four retinol metabolic pathway genes, ADH1A, CYP2A6, CYP2C8, and CYP2C19, were found as hyper-downregulated genes, whose expressions could stratify HCC into three subgroups with distinct survival outcomes, immune cell infiltration, and tumor microenvironments. Validation of these findings in an independent dataset confirmed the high concordance and potential prognostic value of these genes. Sc-RNA seq data revealed the low expression of these genes in immune cells and highlighted their role in promoting malignant cell proliferation and migration. Conclusion This study provides an insight into the molecular characteristics of HCC, unraveling the involvement of retinol metabolism-related genes in HCC development and progression. These findings have implications for HCC diagnosis, prognosis prediction, and the development of therapeutic targets.

Aim: To explore the influencing factors of Type 2 diabetes mellitus (T2DM) in the rural population of Henan Province and evaluate the predictive ability of non-invasive factors to T2DM.Methods: A total of 30,020 participants from the Henan Rural Cohort Study in China were included in this study. The dataset was randomly divided into a training set and a testing set with a 50:50 split for validation purposes. We used logistic regression analysis to investigate the association between 56 factors and T2DM in the training set (false discovery rate < 5 %) and significant factors were further validated in the testing set (P < 0.05). Gradient Boosting Machine (GBM) model was used to determine the ability of the non-invasive variables to classify T2DM individuals accurately and the importance ranking of these variables.Results: The overall population prevalence of T2DM was 9.10 %. After adjusting for age, sex, educational level, marital status, and body measure index (BMI), we identified 13 non-invasive variables and 6 blood biochemical indexes associated with T2DM in the training and testing dataset. The top three factors according to the GBM importance ranking were pulse pressure (PP), urine glucose (UGLU), and waist-to-hip ratio (WHR). The GBM model achieved a receiver operating characteristic (AUC) curve of 0.837 with non-invasive variables and 0.847 for the full model.Conclusions: Our findings demonstrate that non-invasive variables that can be easily measured and quickly obtained may be used to predict T2DM risk in rural populations in Henan Province.

Background: We report a case of broncholithiasis with recurrent pulmonary infection accompanied by blood in the sputum, which was initially misdiagnosed as lung cancer after laboratory examination indicating elevated carcinoembryonic antigen. Methods: Laboratory examination, enhanced chest CT scan, electronic bronchoscopy, and ultra-thin bronchoscopy were performed to diagnose broncholithiasis. Results: Carcinoembryonic antigen levels were elevated. Chest CT scan showed dense nodules and calcification in the middle lobe of the right lung. Ultrathin bronchoscopy demonstrates calcification of the distal bronchus of the lateral middle lobe of the right lung. The symptoms were relieved after the removal of the calculi by electronic bronchoscopy. Conclusions: It is necessary to pay attention to the calcification of the trachea and the differential diagnosis of lung cancer, especially when the level of carcinoembryonic antigen is increased.

Sympathetic nerves play essential roles in the regulation of lung inflammation, and we investigated the effect of sympathetic denervation (SD) on sepsis-induced acute lung injury (ALI) in mice. Mice were randomized to the control, SD, ALI and SD + ALI, groups. SD and ALI were established through intratracheal 6-hydroxydopamine and intraperitoneal lipopolysaccharide, respectively. Models and gene expressions levels were evaluated by HE staining, ELISA, Western blotting and RT-qPCR. RNA extraction, whole transcriptome sequencing and subsequent biostatistical analysis were performed. Sympathetic denervation in the lungs significantly attenuated lung TNF-ɑ and norepinephrine expression, alleviated sepsis-induced acute lung injury and inhibited NF-κB signaling. Compared with the ALI group, the SD + ALI group exhibited 629 DE circRNAs, 269 DE lncRNAs,7 DE miRNAs and 186 DE mRNAs, respectively. Some DE RNAs were validated by RT-qPCR. CircRNA–miRNA–mRNA regulatory networks in the SD + ALI group revealed enrichment of the B-cell receptor signaling pathway, IL-17 signaling pathway, neuroactive ligand–receptor interaction, CAM, primary immunodeficiency, and cytokine–cytokine receptor interaction terms. The lncRNA-miRNA-mRNA network also revealed inflammation–related signaling pathways. Taken together, based on the successfully established models of SD and ALI, we show here that sympathetic nerves may regulate sepsis-induced ALI supposedly by affecting the expression of circRNAs, lncRNAs, miRNAs, and mRNAs in the lungs. These results may allow for further exploration of the roles of pulmonary sympathetic nerves in sepsis-induced ALI.

Stroke continues to be the most common cause of death in China. It has great significance for mortality prediction for stroke patients, especially in terms of analyzing the complex interactions between non-negligible factors. In this paper, we present a gated spatio-temporal correlation network (GSTCNet) to predict the one-year post-stroke mortality. Based on the four categories of risk factors: vascular event, chronic disease, medical usage and surgery, we designed a gated correlation graph convolution kernel to capture spatial features and enhance the spatial correlation between feature categories. Bi-LSTM represents the temporal features of five timestamps. The novel gated correlation attention mechanism is then connected to the Bi-LSTM to realize the comprehensive mining of spatio-temporal correlations. Using the data on 2275 patients obtained from the neurology department of a local hospital, we constructed a series of sequential experiments. The experimental results show that the proposed model achieves competitive results on each evaluation metric, reaching an AUC of 89.17%, a precision of 97.75%, a recall of 95.33% and an F1-score of 95.19%. The interpretability analysis of the feature categories and timestamps also verified the potential application value of the model for stroke.

目的:探究microRNA-143-3p(miR-143-3p)对人牙髓干细胞(human dental pulp stem cells,hDPSCs)凋亡及分化能力的影响及其作用机制.方法:分离hDPSCs,并转染miR-143-3p抑制物(inhibitor)或核因子 κB受体活化因子(receptor activator of nuclear factor-κB,RANK)小干扰RNA(small interfering RNA,siRNA),通过流式细胞术检测细胞凋亡情况,对细胞进行成骨分化诱导后通过茜素红染色评估分化情况,分别用实时定量聚合酶链反应(real-time quantitative polymerase chain reaction,RT-qPCR)和蛋白质印迹法(Western blotting)检测细胞骨保护素(osteoprotegerin,OPG)、RANK、核因子κB受体活化因子配体(receptor activator of nuclear factor-κB ligand,RANKL)、Runt相关转录因子2(Runt-related transcription factor 2,Runx2)、骨钙素(osteocalcin,OCN)、碱性磷酸酶(alkaline phosphatase,ALP)、骨形态发生蛋白2(bone morphogenetic protein 2,BMP2)mRNA及蛋白表达,双荧光素酶实验分析miR-143-3p与RANK的靶向关系.结果:miR-143-3p在hDPSCs中的表达与RANK呈反向调控关系,抑制miR-143-3p的表达增加了细胞凋亡率,促进了细胞成骨分化,提高了RANK、RANKL、Runx2、OCN、ALP、BMP2的mRNA和蛋白表达水平,降低了OPG的mRNA和蛋白表达水平(P<0.05),而沉默RANK则抑制了miR-143-3p inhibitor的作用(P<0.05).双荧光素酶实验提示,RANK是miR-143-3p的靶基因.结论:miR-143-3p通过靶向RANK激活OPG/RANKL轴调节hDPSCs的凋亡及成骨分化.

Clinical multivariate time series can be used to predict clinical outcomes and in turn support clinical decision. Due to various reasons such as irregular sampling, clinical time series typically contain many missing values, and some missing values contain a large amount of information for clinical prediction. It is important to impute missing values as accurately as possible prior to clinical prediction. However, the missing rate of different variables in clinical time series varies greatly. In addition, clinical time data also has strong burst, which increases the difficulty of missing value imputation. In this paper, we propose a new method for missing value imputation in multivariate time series data, using a trainable weighted decay mechanism to improve the traditional Bi-LSTM model to capture temporal correlations, impute missing values based on bidirectional recurrent neural network and perform clinical outcomes predict. We take the missing rate, cumulative missing rate and burstiness of each variable as input to learn the features of different variables separately and improve the imputation effect of missing values. Experiments on two real-world clinical datasets show that our model achieves optimal performance in both imputation effect and prediction accuracy.

目的 探讨血清肺泡表面活性物质蛋白D(surfactant protein D,SP-D)、白细胞介素-17(inteleukin-17,IL-17)、白细胞介素-33(inteleukin-33,IL-33)水平与重症肺炎患儿肺损伤程度及预后的关系.方法 选取笔者医院2018年4月 ～2021年2月收治的148例重症肺炎患儿作为病例组,70例健康儿童作为对照组进行临床研究.比较两组儿童血清SP-D、IL-17、IL-33水平,并分析3项指标与病例组患儿急性肺损伤评分、急性生理与慢性健康评分(APACHEⅡ)的相关性,以及在重症肺炎患儿治疗结局中的预测价值.结果 病例组血清SP-D、IL-17、IL-33水平显著高于对照组(P<0.05).病例组儿童治愈出院121例,死亡27例.治愈组患儿的血清SP-D、IL-17、IL-33水平,APACHEⅡ、LPS评分均低于死亡组患儿(P<0.05).重症肺炎患儿血清SP-D、IL-17、IL-33水平与APACHEⅡ、LPS评分均呈正相关(P<0.05).血清SP-D、IL-17、IL-33预测患儿的治疗结局的AUC值分别为0.712、0.803、0.877.结论 血清SP-D、IL-17、IL-33水平能在一定程度上反映重症肺炎患儿肺损伤及病情的严重程度,对于患儿治疗结局有一定的预测价值.

BACKGROUND:In recent years, immunotherapy has gradually become the first or second-line drug for non-small cell lung cancer. However, the side effects associated with immunotherapy should not be underestimated. Toxic reactions are commonly seen in the skin, endocrine, and liver, and rarely in the heart and nerves. These effects are often life-threatening when they occur. In this paper, we present a case of ICIs-associated myocarditis in advanced lung adenocarcinoma with unappreciated initial cardiac enzyme elevation in a driver gene negative.METHODS:After electronic bronchoscopy and pathological examination, the patient was diagnosed with driver gene-negative advanced lung adenocarcinoma and treated with ICIs.RESULTS:Driver gene-negative advanced lung adenocarcinoma, effectively treated with ICIs, initially had elevated cardiac enzymes and unilateral ptosis, but was not taken seriously and the patient eventually died after discharge from the hospital.CONCLUSIONS:For patients with driver gene-negative advanced lung adenocarcinoma treated with ICIs, regular and periodic monitoring of myocardial damage markers is a top priority, followed by timely initiation of hormonal therapy as a means to improve prognosis.

目的:探讨分泌型卷曲相关蛋白1(SFRP1)在人牙髓干细胞(hDPSCs)增殖、迁移及分化中的作用.方法:构建含敲低和过表达SFRP1的慢病毒,并将其转染至hDPSCs中,分别利用CCK-8法及细胞划痕实验检测hDPSCs增殖和迁移情况,茜素红染色检测矿化结节的形成,Western blot检测成牙/成骨蛋白和Wnt信号通路相关蛋白表达.结果:敲低SFRP1后hDP-SCs的增殖、迁移能力增强,且DSPP、DMP1、ALP、OCN、Wnt3a、β-catenin和TCF1/LEF1表达水平上调,矿化结节数增加;过表达SFRP1后结果与之相反.结论:SFRP1抑制hDPSCs增殖、迁移及分化,其作用机制可能与Wnt/β-catenin信号通路相关.