The Role of CCTA-derived Cardiac Structure and Function Analysis in the Prediction of Readmission in Nonischemic Heart Failure.

Cardiac function and structure significantly impact nonischemic heart failure (HF) patient outcomes. This study investigated 236 patients (107 nonischemic heart failure, 129 healthy) to assess the relationship between coronary computed tomography angiography (CCTA)-derived parameters and clinical outcomes. Among the nonischemic heart failure patients, 37.3% experienced readmissions. In this group, specific CCTA measurements were identified as significant predictors of readmission: epicardial adipose tissue (CTEAT) at 54.49 cm3 (HR: 1.05; 95% CI: 1.03-1.07; P < 0.001), cardiac muscle mass to lumen volume (CTV/M) at 20% (HR: 0.59; 95% CI: 0.48-0.72; P < 0.001), peri-coronary adipose (CTPCAT) at -64.68 HU (HR: 1.1; 95% CI: 1.03-1.16; P = 0.002) for the right coronary artery, -81.07 HU (HR: 1.3; 95% CI: 1.1-1.53; P = 0.002) for the left anterior descending artery, and -73.42 HU (HR: 1.33; 95% CI: 1.18-1.51; P < 0.001) for the circumflex branch of the left coronary artery. In patients with nonischemic heart failure, increased CTEAT, CTPCAT, and CTV/M independently predicted rehospitalization.

Prediction of sarcopenia among peritoneal dialysis patients using a combination of irisin and phase angle

Background: Sarcopenia is associated with significant morbidity and mortality in patients undergoing peritoneal dialysis (PD). Three different tools must be applied to measure the three indices for diagnosing sarcopenia. Considering the cumbersome diagnostic steps and multi-layered mechanisms underlying sarcopenia, we combined new biomarker with bioelectrical impedance analysis (BIA) data to predict PD sarcopenia. Methods: Patients underwent regular PD were asked to complete sarcopenia screening, including appendicular skeletal muscle mass, handgrip strength, and the 5-time chair stand time test according to the newly revised diagnosis consensus of Asian Working Group for Sarcopenia (AWGS2019). Serum was collected for centralized detection of the irisin levels. BIA data, especially the phase angle (PhA), as well as patient's general clinical information, dialysis related indices, laboratory data and body composition data were recorded. Results: Among 105 enrolled PD patients (41.0% men, mean age 54.2 ± 8.89 years), the sarcopenia prevalence was 31.4% and the sarcopenic obesity was 8.6%. Binary regression analysis showed that serum irisin concentrations (OR = 0.98; 95% CI,0.97-0.99; p = 0.002), PhA (OR = 0.43; 95% CI, 0.21-0.90; p = 0.025) and body mass index (BMI) (OR = 0.64; 95% CI, 0.49-0.83; p = 0.001) were independently associated with PD sarcopenia. The AUC of the combination use of serum irisin concentrations and PhA for predicting PD sarcopenia was 0.925 with a sensitivity of 100% and specificity of 84.0% in male and was 0.880 with a sensitivity of 92.0% and specificity of 81.5% in female. PD sarcopenia score=1533.48+-0.75*Handgrip strength+4.63*BMI+-18.07*Total body water +-11.87*Extra-cellular water / total body water +9.26*Fat free mass index+-83.41*PhA+22.42*Albumin/Globulin+-26.38*blood phosphorus+-17.04*Total cholesterol+-29.02*Triglyceride+-0.29*Prealbumin+-0.17*Irisin. Conclusions: Sarcopenia is relatively common among PD patients. The combination of serum irisin concentrations and PhA facilitated the rapid prediction of PD sarcopenia and could serve as an optimal screening tool for PD sarcopenia in clinical settings.

Introduction: La sarcopénie est associée à une morbidité et une mortalité importantes chez les patients sous dialyse péritonéale (DP). Trois outils différents doivent être appliqués pour mesurer les trois indices de diagnostic de la sarcopénie. Compte tenu des étapes de diagnostic fastidieuses et des mécanismes multicouches sous-jacents à la sarcopénie, nous avons combiné un nouveau biomarqueur avec des données d'analyse d'impédance bioélectrique (BIA) pour prédire la sarcopénie. Méthodes: Les patients ayant subi une DP régulière ont été invités à compléter le dépistage de la sarcopénie, y compris la qualité du muscle squelettique des membres, la force de préhension et le test de temps debout sur chaise à cinq reprises, conformément au consensus de diagnostic nouvellement révisé du Groupe de travail asiatique sur la sarcopénie (AWGS2019). Le sérum a été recueilli pour la détection centralisée des niveaux d'irisine. Les données BIA, en particulier l'angle de phase (PhA), ainsi que les informations cliniques générales du patient, les indices liés à la dialyse, les données de laboratoire et les données de composition corporelle ont été enregistrés. Résultats. Parmi les 105 patients sous DP inscrits (41,0 % d'hommes, âge moyen de 54,2 ± 8,89 ans), la prévalence de la sarcopénie était de 31,4 % et l'obésité sarcopénique de 8,6 %. L'analyse de régression binaire a montré que les concentrations sériques d'irisine (OR = 0,98 ; IC à 95 % : 0,97-0,99 ; p = 0,002), PhA (OR = 0,43 ; IC à 95 % : 0,21-0,90 ; p = 0,025) et l'indice de masse corporelle (IMC) (OR = 0,64 ; IC à 95 % : 0,49-0,83 ; p = 0,001) étaient indépendamment associées à la sarcopénie DP. L'ASC de l'utilisation combinée des concentrations sériques d'irisine et du PhA pour prédire la sarcopénie était de 0,925 avec une sensibilité de 100 % et une spécificité de 84,0 % chez les hommes et était de 0,880 avec une sensibilité de 92,0 % et une spécificité de 81,5 % chez les femmes. Le score de sarcopénie DP était = 1 533,48 + -0,75 * Force de préhension + 4,63 * IMC + -18,07 * Eau corporelle totale + -11,87 * Eau extracellulaire / eau corporelle totale + 9,26 * Indice de masse sans graisse + -83,41 * PhA + 22,42 * Albumine / Globuline + -26,38 * Phosphore sanguin + -17,04 * Cholestérol total + -29,02 * Triglycérides + -0,29 * Préalbumine + -0,17 * Irisine. Conclusion: La sarcopénie est relativement fréquente chez les patients sous DP. La combinaison des concentrations sériques d'irisine et de PhA a facilité la prédiction rapide de la sarcopénie DP et pourrait servir d'outil de dépistage optimal de la sarcopénie DP en milieu clinique.

Prediction of the sarcopenia in peritoneal dialysis using simple clinical information: A machine learning-based model.

INTRODUCTION: Sarcopenia is associated with significant cardiovascular risk, and death in patients undergoing peritoneal dialysis (PD). Three tools are used for diagnosing sarcopenia. The evaluation of muscle mass requires dual energy X-ray absorptiometry (DXA) or computed tomography (CT), which is labor-intensive and relatively expensive. This study aimed to use simple clinical information to develop a machine learning (ML)-based prediction model of PD sarcopenia. METHODS: According to the newly revised Asian Working Group for Sarcopenia (AWGS2019), patients were subjected to complete sarcopenia screening, including appendicular skeletal muscle mass, grip strength, and five-time chair stand time test. Simple clinical information such as general information, dialysis-related indices, irisin and other laboratory indices, and bioelectrical impedance analysis (BIA) data were collected. All data were randomly split into training (70%) and testing (30%) sets. Difference, correlation, univariate, and multivariate analyses were used to identify core features significantly associated with PD sarcopenia. RESULT: 12 core features (C), namely, grip strength, body mass index (BMI), total body water value, irisin, extracellular water/total body water, fat-free mass index, phase angle, albumin/globulin, blood phosphorus, total cholesterol, triglyceride, and prealbumin were excavated for model construction. Two ML models, the neural network (NN), and support vector machine (SVM) were selected with tenfold cross-validation to determine the optimal parameter. The C-SVM model showed a higher area under the curve (AUC) of 0.82 (95% confidence interval [CI]: 0.67-1.00), with a highest specificity of 0.96, sensitivity of 0.91, positive predictive value (PPV) of 0.96, and negative predictive value (NPV) of 0.91. CONCLUSION: The ML model effectively predicted PD sarcopenia and has clinical potential to be used as a convenient sarcopenia screening tool.

Correlation research of susceptibility single nucleotide polymorphisms and the severity of clinical symptoms in attention deficit hyperactivity disorder.

Objective: To analyze the correlation between susceptibility single nucleotide polymorphisms (SNPs) and the severity of clinical symptoms in children with attention deficit hyperactivity disorder (ADHD), so as to supplement the clinical significance of gene polymorphism and increase our understanding of the association between genetic mutations and ADHD phenotypes. Methods: 193 children with ADHD were included in our study from February 2017 to February 2020 in the Children's ADHD Clinic of the author's medical institution. 23 ADHD susceptibility SNPs were selected based on the literature, and multiple polymerase chain reaction (PCR) targeted capture sequencing technology was used for gene analysis. A series of ADHD-related questionnaires were used to reflect the severity of the disease, and the correlation between the SNPs of specific sites and the severity of clinical symptoms was evaluated. R software was used to search for independent risk factors by multivariate logistic regression and the "corplot" package was used for correlation analysis. Results: Among the 23 SNP loci of ADHD children, no mutation was detected in 6 loci, and 2 loci did not conform to Hardy-Weinberg equilibrium. Of the remaining 15 loci, there were 9 SNPs, rs2652511 (SLC6A3 locus), rs1410739 (OBI1-AS1 locus), rs3768046 (TIE1 locus), rs223508 (MANBA locus), rs2906457 (ST3GAL3 locus), rs4916723 (LINC00461 locus), rs9677504 (SPAG16 locus), rs1427829 (intron) and rs11210892 (intron), correlated with the severity of clinical symptoms of ADHD. Specifically, rs1410739 (OBI1-AS1 locus) was found to simultaneously affect conduct problems, control ability and abstract thinking ability of children with ADHD. Conclusion: There were 9 SNPs significantly correlated with the severity of clinical symptoms in children with ADHD, and the rs1410739 (OBI1-AS1 locus) may provide a new direction for ADHD research. Our study builds on previous susceptibility research and further investigates the impact of a single SNP on the severity of clinical symptoms of ADHD. This can help improve the diagnosis, prognosis and treatment of ADHD.

Dynamic Changes in Lung Function and Imaging in Patients with COVID-19.

Purpose: To investigate the recovery of lung function and chest imaging in patients with COVID-19 three months after clinical cure and discharge and the correlation between them. Methods: This study collected 80 patients diagnosed with 2019-nCoV infection who were discharged from the Taizhou Public Health Medical Center in Zhejiang Province between January 31, 2020, and March 10, 2020. Lung function examinations and lung CT scans were performed at discharge and three months after discharge. The dynamic changes examined at discharge and three months after discharge were observed, and their correlation was analyzed. All data collection ended on June 25, 2020. Results: Among the 80 COVID-19 patients discharged from the hospital, the rate of abnormality indicated by lung CT images was 97.5%, mainly presenting as patchy shadows (95%), ground-glass shadows (75%), grid-like lesions, interlobular septal thickening or fiber strip shadows (30%), consolidation shadows, and nodules (10 cases each). At discharge, 72 patients (90%) had pulmonary dysfunction, 64 (80%) had restrictive ventilatory dysfunction, and 48 (60%) had small airway dysfunction. Three months after discharge, the rate of abnormality indicated by lung CT images was 12.5%. Eight cases (10%) showed residual patchy shadows, but the density was weak, and the scope was reduced. Two cases (2.5%) showed nodular shadows. Three months after discharge, 18 patients (22.5%) had residual restrictive ventilatory dysfunction, 28 patients (35%) had small airway dysfunction, and 32 patients (40%) had diffuse dysfunction. Moreover, patients with more severe chest imaging manifestations (bilateral lesions and ground-glass shadows combined with interstitial lesions) also had more obvious lung function impairment. Conclusion: Three months after being clinically cured, patients with COVID-19 had good chest imaging absorption and no residual fibrosis. Some patients had mild to moderate pulmonary dysfunction, mainly restricted ventilation dysfunction, small airway dysfunction, and diffuse dysfunction.

The Investigation of Pulmonary Function Changes of COVID-19 Patients in Three Months.

Background: Novel coronavirus disease 2019 (COVID-19) was discovered in December 2019 and has infected more than 80 million people worldwide, and more than 50 million people have achieved a clinical cure. In this study, the pulmonary function results of patients after clinical medicine for three months were reported. Objective: To investigate the effect of COVID-19 on lung function in patients. Methods: A retrospective analysis was performed on 56 COVID-19-infected patients who were cured after the clinical treatment at Taizhou Public Health Medical Center in Zhejiang Province from January 31, 2020, to March 10, 2020. At discharge and three months after discharge, lung function was measured, including inspiratory vital capacity (IVC), forced vital capacity (FVC), forced expiratory volume in first second (FEV1), forced expiratory volume in first second to inspiratory vital capacity (FEV1/IVC), maximum mid-expiratory flow rate (MEF), peak expiratory flow rate (PEF), and carbon monoxide dispersion (DLCO). Results: At discharge, there were 37 patients (66.1%) with pulmonary dysfunction, 22 patients (39.3%) with ventilation dysfunction, 31 cases (55.4%) with small airway dysfunction, and 16 cases (28.6%) with restricted ventilation dysfunction combined with small airway dysfunction. At 3 months after discharge, 24 of the 56 patients still had pulmonary dysfunction and all of them had small airway dysfunction, of which 10 patients (17.9%) were restricted ventilation dysfunction combined with small airway dysfunction. DLCO was measured three months after discharge. Twenty-nine patients (51.8%) had mild to moderate diffuse dysfunction. All pulmonary function indexes of 56 patients recovered gradually after 3 months after release, except FEV1/IVC, and the difference was statistically significant (P < 0.05). There were 41 patients of normal type (73.2%) and 15 patients of severe type (26.8%). Among the 15 severe patients, 8 patients (53.3%) had ventilation dysfunction at discharge, 9 patients (60%) had small airway dysfunction, 4 patients (26.7%) still had ventilation dysfunction 3 months after discharge, 7 patients (46.7%) had small airway dysfunction, and 10 patients (66.7%) had diffuse dysfunction. Among the 41 common type patients, 14 patients (34.1%) had ventilation dysfunction at discharge, 22 patients (53.7%) had small airway dysfunction, 6 patients (14.6%) still had ventilation dysfunction 3 months after discharge, 17 patients (41.5%) had small airway dysfunction, and 19 patients (46.3%) had diffuse dysfunction. Patients with severe COVID-19 had more pulmonary impairment and improved pulmonary function than normal patients. Conclusion: COVID-19 infection can cause lung function impairment, manifested as restricted ventilation dysfunction, small airway dysfunction, and diffuse dysfunction. The pulmonary function of most patients was improved 3 months after clinical cure and discharge, and some patients remained with mild to moderate diffuse dysfunction and small airway dysfunction.

Enhanced CT-Based Radiomics to Predict Micropapillary Pattern Within Lung Invasive Adenocarcinoma.

OBJECTIVE: We aimed to investigate whether enhanced CT-based radiomics can predict micropapillary pattern (MPP) of lung invasive adenocarcinoma (IAC) in the pre-op phase and to develop an individual diagnostic predictive model for MPP in IAC. METHODS: 170 patients who underwent complete resection for pathologically confirmed lung IAC were included in our study. Of these 121 were used as a training cohort and the other 49 as a test cohort. Clinical features and enhanced CT images were collected and assessed. Quantitative CT analysis was performed based on feature types including first order, shape, gray-level co-occurrence matrix-based, gray-level size zone matrix-based, gray-level run length matrix-based, gray-level dependence matrix-based, neighboring gray tone difference matrix-based features and transform types including Log, wavelet and local binary pattern. Receiver operating characteristic (ROC) and area under the curve (AUC) were used to value the ability to identify the lung IAC with MPP using these characteristics. RESULTS: Using quantitative CT analysis, one thousand three hundred and seventeen radiomics features were deciphered from R (https://www.r-project.org/). Then these radiomic features were decreased to 14 features after dimension reduction using the least absolute shrinkage and selection operator (LASSO) method in R. After correlation analysis, 5 key features were obtained and used as signatures for predicting MPP within IAC. The individualized prediction model which included age, smoking, family tumor history and radiomics signature had better identification (AUC=0.739) in comparison with the model consisting only of radiomics features (AUC=0.722). DeLong test showed that the difference in AUC between the two models was statistically significant (P<0.01). Compared with the simple radiomics model, the more comprehensive individual prediction model has better prediction performance. CONCLUSION: The use of radiomics approach is of great value in the diagnosis of tumors by non-invasive means. The individualized prediction model in the study, when incorporated with age, smoking and radiomics signature, had effective predictive performance of lung IAC with MPP lesions. The combination of imaging features and clinical features can provide additional diagnostic value to identify the micropapillary pattern in IAC and can affect clinical diagnosis and treatment.

Clinical Characteristics and Early Interventional Responses in Patients with Severe COVID-19 Pneumonia.

Progressive acute respiratory distress syndrome (ARDS) is the most lethal cause in patients with severe COVID-19 pneumonia due to uncontrolled inflammatory reaction, for which we found that early intervention of combined treatment with methylprednisolone and human immunoglobulin is a highly effective therapy to improve the prognosis of COVID-19-induced pneumonia patients. Objective. Herein, we have demonstrated the clinical manifestations, laboratory, and radiological characteristics of patients with severe Coronavirus Disease-2019 (COVID-19) pneumonia, as well as measures to ensure early diagnosis and intervention for improving clinical outcomes of COVID-19 patients. Summary Background Data. The COVID-19 is a new infection caused by a severe acute respiratory syndrome- (SARS-) like coronavirus that emerged in China in December 2019 and has claimed millions of lives. Methods. We included 37 severe COVID-19 pneumonia patients who were hospitalized at Taizhou Public Health Medical Center in Zhejiang province from January 17, 2020, to February 18, 2020. Demographic, clinical, and laboratory features; imaging characteristics; treatment history; and clinical outcomes of all patients were collected from electronic medical records. Results. The patients' mean age was 54 years (interquartile range, 43-64), with a slightly higher male preponderance (57%). The most common clinical features of COVID-19 pneumonia were fever (29 (78%)), dry cough (28 (76%)), dyspnea (9 (24%)), and fatigue (9 (24%)). Serum interleukin (IL)-6 and IL-10 were elevated in 35 (95%) and 19 (51%) patients, respectively. Chest computerized tomography scan revealed bilateral pneumonia in 35 (95%) patients. Early intervention with a combination of methylprednisolone and human immunoglobulin was highly effective in improving the prognosis of these patients. Conclusions. Progressive acute respiratory distress syndrome is the most common cause of death in patients with severe COVID-19 pneumonia owing to an uncontrolled inflammatory response. Early intervention with methylprednisolone and human immunoglobulin was highly effective in improving their prognosis.

MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm.

PURPOSE: To construct MRI radiomics nomograms that can predict short-term response after TACE in HCC patients with diameter less than 5 cm. METHODS: MRI images and clinical data of 153 cases with tumor diameter less than 5 cm before TACE from 3 hospitals were collected retrospectively and divided into 1 internal training set and 1 external validation set. The T2-weighted imaging (T2WI) and dynamic contrast-enhanced MRI arterial phase (DCE-MR AP) images were studied. Multivariable logistic regression was used to construct Radiomics models, Clinics models, and Nomograms based on T2WI and DCE-MR AP, respectively. The receiver characteristic curve (ROC) was used to evaluate the predictive performance of each model. RESULTS: In this study, 113 eligible cases in Hospital 1 were collected as the training set, and 40 eligible cases in other hospitals were used as the verification set. 11 T2WI features and 11 DCE-MRI AP features with the most predictive value were finally screened. 3 models based on T2WI and 3 models based on DCE-MRI AP were established, respectively. The area under curve (AUC) value of Nomogram based on T2WI of training set and validation set was 0.83 and 0.81, respectively. The AUC value of the models based on T2WI and models based on AP was almost equal, and Nomograms were the most effective models among all three types of models. CONCLUSION: MRI-based Nomogram has greater predictive efficacy to predict the response after TACE than Radiomics and Clinics models alone, and the efficacy of T2WI-based models and DCE-MRI AP-based models was almost equal.

Transcriptionomic Study on Apoptosis of SKOV-3 Cells Induced by Phycoerythrin from Gracilaria lemaneiformis.

OBJECTIVE: To investigate the effects of Phycoerythrin (PE) on the human ovarian cancer cell line SKOV-3 and its antitumor mechanisms from a transcriptional point of view. METHODS: SKOV-3 cells were exposed to different concentrations of phycoerythrin. The efficiency of this treatment was evaluated through cell growth inhibition, changes in cell morphology, apoptosis and intracellular ROS levels. High throughput sequencing (RNA-seq) was performed to screen Differentially Expressed Genes (DEGs), which was verified using RT-PCR and Western blotting. RESULTS: PE showed a significant inhibitory effect on the growth of SKOV-3 cells in a time- and dose-dependent manner. H&E staining, electron microscopy and flow cytometry revealed that PE induced apoptosis in SKOV-3 cells. Transcriptome analysis showed that 2963 genes were differentially expressed between untreated or PEtreated cells. GO and KEGG pathway analyses identified 16 classical pathways that were enriched. We verified 8 DEGs including, JNK, GADD45A, EDEM2, RAD23, UBQLN, CAPN1, XBP1, and OS9. These results were consistent with the results from transcriptional sequences. CONCLUSION: The inhibitory effect of PE on SKOV-3 cells was a result of interaction with multiple pathways and signaling molecules. Among these, the ROS/JNK/Bcl-2 signaling pathway, upregulation of JNK, GADD45A and RAD23 as well as downregulation of XBP1 and OS9 played a critical role in the PE -induced apoptosis in human ovarian cancer cells.

Study on PD-L1 Expression in NSCLC Patients and Related Influencing Factors in the Real World.

PD-L1 is one of the current biomarkers for immune checkpoint inhibitor (ICI) therapy in patients with non-small-cell lung cancer. However, the expression of PD-L1 in the real world and its related influencing factors remain unclear. We want to observe the expression of PD-L1 in the real world and study the related influencing factors through the collection and analysis of clinical data. R software (version 4.0) was used to perform data analysis and the "corplot" package for correlation analysis. A total of 296 individuals (mean [SD] age, 67 [9] years; 23%female) were assessed. According to the expression amount of PD-L1, the cohort was divided into low nonexpression group (PD-L1 < 1%, 26.7%), low-expression group (1% ≤ PD-L1 < 50%, 49.3%), and high-expression group (PD-L1 ≥ 50%, 23.5%). Age, gender, underlying diseases, smoking status, and PD-L1 expression level were not statistically significant. We found that the expression of PD-L1 was correlated with serum albumin (P < 0.05) and pathological type (P < 0.05) and had a negative correlation with EGFR mutation but did not correlate with gender, age, smoking status, combined with underlying diseases, tumor stage, whether it was initially treated or not, sampling site, specimen type, specimen storage time, R-IFN, CD4, CD8, NLR, CRP, and LDH. The present findings indicated that serum albumin, pathological type, and EGFR mutations are associated with PD-L1 expression in patients with NSCLC, which may provide a new basis for individualized immunotherapy and need further study to confirm. The results of this study help to further reveal the actual expression of PD-L1 in non-small-cell lung cancer patients with real events.

The Effect of Sodium Fluoride on Cell Apoptosis and the Mechanism of Human Lung BEAS-2B Cells In Vitro.

Sodium fluoride (NaF) is a source of fluoride ions used in many applications. Previous studies found that NaF suppressed the proliferation of osteoblast MC3T3 E1 cells and induced the apoptosis of chondrocytes. However, little is known about the effects of NaF on human lung BEAS-2B cells. Therefore, we investigated the mode of cell death induced by NaF and its underlying molecular mechanisms. BEAS-2B cells were treated with NaF at concentrations of 0, 0.25, 0.5, 1.0, 2.0, and 4.0 mmol/L. Cell viability decreased and apoptotic cells significantly increased as concentrations of NaF increased over specific periods of time. The IC50 of NaF was 1.9 and 0.9 mM after 24 and 48 h, respectively. The rates of apoptosis increased from 4.8 to 37.7% after NaF exposure. HE staining, electron microscopy, and single cell gel electrophoresis revealed that morphological changes of apoptosis increased with exposure concentrations. RT-PCR and Western blotting were used to detect the apoptotic pathways. The expressions of bax, caspase-3, caspase-9, p53, and the cytoplasmic CytC of the NaF groups increased, while bcl-2 and mitochondrial CytC decreased compared with that of the control group (P < 0.05). Further, the fluorescence intensities of ROS in the NaF groups were higher than those in the control group, and the membrane potential of mitochondria in the NaF group was significantly lower than that of the control group (P < 0.05). These findings suggested that NaF induced apoptosis in the BEAS-2B cells through mitochondria-mediated signal pathways. Our study provides the theoretical foundation and experimental basis for exploring the mechanisms of human lung epithelial cell damage and cytotoxicity induced by fluorine.