Objective To investigate the radon activity concentrations in subways of Nanning City and assess the average annual effective doses for subway staff and passengers due to radon exposure. Methods Sixty-three stations across the subway lines 2, 3, and 5 were selected as study sites. Radon activity concentrations were measured using the scintillation counting method with scintillation vials. Results The radon activity concentrations in subway lines 2, 3, and 5 were 7.9-24.4, 12.0-26.2, and 12.6-18.2 Bq/m³, respectively. The average radon activity concentrations for these three lines were (17.4 ± 4.6), (19.1 ± 4.1), and (14.6 ± 1.7) Bq/m³, respectively. Statistical analysis using SPSS 26.0 software revealed a significant difference in radon activity concentrations among these stations (P<0.01). Considering the data in previous research, the average radon activity concentration across all stations in the subway lines of Nanning City was determined to be 17.4 Bq/m³. The estimated average annual effective dose due to radon exposure was 0.131 mSv for subway staff and 0.033 mSv for passengers. Conclusion The radon activity concentrations in the subway lines of Nanning City were significantly lower than the national standard limit (400 Bq/m³). The annual effective doses from radon exposure for both subway staff and passengers were below the limits specified in the Basic Standards for Protection Against Ionizing Radiation and for the Safety of Radiation Sources (GB18871—2002). The health impact of radon and its progeny on subway staff and passengers in the subway lines of Nanning City was extremely low and can be considered negligible.

ObjectiveTo investigate the suppressive effect of 23-hydroxybetulinic acid （23-HBA）， a key constituent of Pulsatillae Radix， on the pulmonary inflammation-related carcinogenesis induced by the combined exposure of 4-（methylnitrosamino）-1-（3-pyridyl）-1-butanone （NNK） and lipopolysaccharide （LPS） in mice， alongside exploring its influence on immune cells and delving into the underlying mechanisms. MethodsA murine model of pulmonary inflammation-related carcinogenesis induced by NNK combined with LPS was established. Mice were randomly assigned into blank control， model， aspirin （10 mg·kg^-1）， and low-， medium-， and high-dose （3.75， 7.5， 15 mg·kg^-1， respectively） 23-HBA groups. The treatment lasted for 26 weeks， after which the spleen， lung， and peripheral blood samples were collected. Lung and spleen indices were calculated. Histopathological changes in the lung tissue were observed by hematoxylin-eosin staining. Immunohistochemistry was employed to assess the expression levels of thyroid transcription factor-1 （TTF-1）， neuron-specific enolase （NSE）， and proliferating cell nuclear antigen （Ki-67） in the lung tissue. High-throughput protein microarray was employed to measure the levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in the mouse serum. Flow cytometry was employed to evaluate the expression of macrophages， myeloid-derived suppressor cells （MDSCs）， and exhausted T lymphocytes in the lung and spleen tissue. Molecular docking was performed to predict the binding affinity of 23-HBA to Janus kinase 2 （JAK2）， Src homology 2 domain-containing phosphatase 2 （SHP2）， and suppressor of cytokine signaling 3 （SOCS3）. Western blot was performed to assess the protein levels of phosphorylated-signal transducer and activator of transcription 3 （p-STAT3）， p53， and SHP2 in the M1-activated macrophages and A549 lung adenocarcinoma cells treated with 23-HBA. ResultsCompared with the normal group， the lung and spleen indexes of the model group were increased to varying degrees （P<0.05， P<0.01）， the expression of TTF-1， NSE and Ki-67 protein was significantly increased （P<0.05， P<0.01）， and the serum levels of TNF-α， IL-1β and IL-6 were significantly increased （P<0.01）. The number of macrophages in the model group was significantly decreased （P<0.01）， and the number of exhausted T cells and MDSCs was significantly increased （P<0.05， P<0.01）. Compared with the model group， the spleen and thymus index of mice in each dose group of 23-HBA decreased significantly （P<0.05）， and the lung index of mice in the middle dose group of 23-HBA decreased significantly （P<0.05）. The high and middle dose groups of 23-HBA could improve the occurrence of inflammatory infiltration and malignant lesions in the lungs of mice induced by NNK combined with LPS in the model group. The expression of TTF-1 in the middle and high dose groups of 23-HBA was significantly lower than that in the model group （P<0.05， P<0.01）. The expression of NSE and Ki-67 protein in each dose group of 23-HBA was significantly lower than that in the model group （P<0.05， P<0.01）. The contents of IL-1β in the low and high dose groups of 23-HBA were significantly decreased （P<0.05）， and the contents of IL-6 and TNF-α in each dose of 23-HBA were significantly decreased （P<0.05， P<0.01）. The number of macrophages in the lung of the middle dose group of 23-HBA was significantly increased （P<0.05）， and the number of exhausted T cells and MDSCs expressing PD-1 in the lung was significantly decreased （P<0.05， P<0.01）. In addition， 23-HBA had strong molecular docking ability to SHP2， SOCS3 and JAK2 （≥7 kcal·mol^-1）， and significantly down-regulated the protein levels of p-STAT3， SHP2 and p53 in M1 macrophages and A549 lung adenocarcinoma （P<0.01）. Conclusion23-HBA holds promise as a potential therapeutic agent for mitigating pulmonary inflammation and inhibiting malignant transformation induced by the combination of LPS and NNK. It may exert effects by regulating immune cell responses， improving the tumor immune microenvironment， and regulating key signaling pathways.

Lung cancer is a serious pulmonary tumor,with exacerbation of chronic lung inflammation being a precursor to the development of lung cancer.Relevant animal models are widely used in experimental research,to gain a deeper understanding of the pathogenesis of lung cancer and to develop preventive treatment strategies.Induced lung cancer animal models are of particular importance for understanding the transition from chronic lung inflammation to lung cancer.Early intervention is crucial for the prevention and treatment of lung cancer.Here we review the recent literature regarding the inducing factors for lung cancer,including carcinogens(e.g.nicotine-derived nitrosamine ketone,benzopyrene,diethylnirtosamine atmospheric fine particulate matter(PM2.5),coal smoke,heavy metal ions,radiation,and biological infections).We also summarize animal models of lung inflammation and cancer transformation induced by these factors,discuss the mechanisms by which relevant carcinogens induce lung cancer,analyze the advantages and limitations of the animal models,and consider future development directions.This review aims is to provide a valuable reference for the future establishment of relevant models.

Lung cancer is a serious pulmonary tumor,with exacerbation of chronic lung inflammation being a precursor to the development of lung cancer.Relevant animal models are widely used in experimental research,to gain a deeper understanding of the pathogenesis of lung cancer and to develop preventive treatment strategies.Induced lung cancer animal models are of particular importance for understanding the transition from chronic lung inflammation to lung cancer.Early intervention is crucial for the prevention and treatment of lung cancer.Here we review the recent literature regarding the inducing factors for lung cancer,including carcinogens(e.g.nicotine-derived nitrosamine ketone,benzopyrene,diethylnirtosamine atmospheric fine particulate matter(PM2.5),coal smoke,heavy metal ions,radiation,and biological infections).We also summarize animal models of lung inflammation and cancer transformation induced by these factors,discuss the mechanisms by which relevant carcinogens induce lung cancer,analyze the advantages and limitations of the animal models,and consider future development directions.This review aims is to provide a valuable reference for the future establishment of relevant models.

Objective:To explore applications of adjusting timing of nebulization and analgesic usage in patients after lung cancer surgery, to provide reference for postoperative rehabilitation of lung cancer.Methods:Adopting a prospective randomized controlled study design, a total of 84 patients with lung cancer who underwent surgery in affiliated hospital of Jining Medical University from September 2020 to June 2023 were enrolled by a convenience sampling method, they were randomly divided into experimental group and control group according to random number table method. Two groups was given routine perioperative care, on this basis, the control group received lip and abdomen contraction breathing training according to the conventional process, and the experimental group adjusted timing of nebulization and analgesic usage and received respiratory function training when nebulization and analgesics were at the peak of blood drug concentration. Pain level and exercise self-efficacy of two groups were compared.Results:There were 27 males and 15 females in the control group, aged (54.52 ± 14.06) years; and 24 males and 18 females in the experimental group, aged (53.33 ± 12.02) years. At one day, two days and three days after operation, the scores of Numerical Rating Scale (NRS) were (5.07 ± 0.84), (3.40 ± 0.49), (2.93 ± 0.87) in the experimental group, lower than (5.86 ± 1.05), (4.09 ± 0.88), (3.33 ± 0.65) in the control group, the differences were statistically significant ( t=3.79, 4.44.2.42, all P<0.05), and for both groups, the differences in the time effect, between-group effect, and the interaction effect were all statistically significant ( F=582.92, 44.65, 3.82, all P<0.05). Three days after operation, the dimensions of efficacy expectation, outcome expectation and total self-efficacy scores were (28.62 ± 6.75), (33.71 ± 7.04) and (62.33 ± 9.07) in the experimental group, and (25.52 ± 6.66), (30.43 ± 6.80) and (55.95 ± 9.34) in the control group, the differences were statically significant ( t=2.12, 2.18, 3.18, all P<0.05). Conclusions:Adjusting timing of nebulization and analgesic usage and giving respiratory function training for lung cancer surgery when nebulization and analgesics at the peak of blood drug concentration can effectively alleviate the pain caused by respiratory exercise and improve training self-efficacy of patients after lung cancer surgery.

Objective:To explore applications of adjusting timing of nebulization and analgesic usage in patients after lung cancer surgery, to provide reference for postoperative rehabilitation of lung cancer.Methods:Adopting a prospective randomized controlled study design, a total of 84 patients with lung cancer who underwent surgery in affiliated hospital of Jining Medical University from September 2020 to June 2023 were enrolled by a convenience sampling method, they were randomly divided into experimental group and control group according to random number table method. Two groups was given routine perioperative care, on this basis, the control group received lip and abdomen contraction breathing training according to the conventional process, and the experimental group adjusted timing of nebulization and analgesic usage and received respiratory function training when nebulization and analgesics were at the peak of blood drug concentration. Pain level and exercise self-efficacy of two groups were compared.Results:There were 27 males and 15 females in the control group, aged (54.52 ± 14.06) years; and 24 males and 18 females in the experimental group, aged (53.33 ± 12.02) years. At one day, two days and three days after operation, the scores of Numerical Rating Scale (NRS) were (5.07 ± 0.84), (3.40 ± 0.49), (2.93 ± 0.87) in the experimental group, lower than (5.86 ± 1.05), (4.09 ± 0.88), (3.33 ± 0.65) in the control group, the differences were statistically significant ( t=3.79, 4.44.2.42, all P<0.05), and for both groups, the differences in the time effect, between-group effect, and the interaction effect were all statistically significant ( F=582.92, 44.65, 3.82, all P<0.05). Three days after operation, the dimensions of efficacy expectation, outcome expectation and total self-efficacy scores were (28.62 ± 6.75), (33.71 ± 7.04) and (62.33 ± 9.07) in the experimental group, and (25.52 ± 6.66), (30.43 ± 6.80) and (55.95 ± 9.34) in the control group, the differences were statically significant ( t=2.12, 2.18, 3.18, all P<0.05). Conclusions:Adjusting timing of nebulization and analgesic usage and giving respiratory function training for lung cancer surgery when nebulization and analgesics at the peak of blood drug concentration can effectively alleviate the pain caused by respiratory exercise and improve training self-efficacy of patients after lung cancer surgery.

Purpose: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can infect the human placenta and has been shown to have an adverse effect on Doppler ultrasound parameters and placental features. However, the specific effects of the SAS-CoV-2 infection on the fetal-placental unit in pregnant women remain unclear. The aim of this systematic review and meta-analysis was to evaluate the impact of SARS-CoV-2 infection on Doppler ultrasound and placental findings in pregnant women. Methods: A systematic search was conducted using four electronic databases (PubMed, Embase, Scopus, and Cochrane Library) to select publications published in peer-reviewed journals written in English. Odds ratios (ORs) were calculated, along with their 95% confidence intervals (CIs). Heterogeneity was assessed using Cochrane Q and I² statistics and the appropriate P-value. The analysis used RevMan 5.3. Results: This meta-analysis included 1,210 pregnant women from 10 case-control studies. SARS-CoV-2–infected pregnant women exhibited higher likelihoods of placental abnormalities (OR, 2.62; 95% CI, 1.66 to 4.13), aberrant Doppler values (OR, 1.95; 95% CI, 1.16 to 3.27), an abnormal cerebroplacental ratio (OR, 2.68; 95% CI, 1.52 to 4.75), altered fetoplacental circulation (OR, 1.56; 95% CI, 1.07 to 2.28), and increased placental thickness and placental venous lakes (OR, 1.85; 95% CI, 1.25 to 2.72). Conclusion According to this meta-analysis, pregnant women infected with SARS-CoV-2 are more likely to experience altered Doppler ultrasonography parameters and placental abnormalities, including increased placental thickness, placental venous lakes, altered fetoplacental circulation, and cerebroplacental ratio. However, the limited number of case-control studies requires larger sample sizes to validate and enhance the evidence.

ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min^-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.

BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.

Objective:To investigate the value and clinical significance of fasting plasma glucose (FPG) in early pregnancy (8-12 gestational weeks) as a predictor of gestational diabetes mellitus (GDM) among women with different pre-pregnancy body mass index (pre-BMI) categories.Methods:A retrospective study was conducted including 9 710 singleton pregnant women (FPG levels in early pregnancy ≤5.6 mmol/L) who underwent prenatal screening and delivery in Yuyao People's Hospital from January 2020 to December 2022. Participants were stratified based on their pre-BMI as follows: <18.5 ( n=1 406), ≥18.5 to <25.0 ( n=7 162), ≥25.0 to <30.0 ( n=978), and ≥30.0 kg/m 2 ( n=164). Within each pre-BMI category, women were further divided into four groups based on FPG levels in early pregnancy (<4.5, ≥4.5 to <4.8, ≥4.8 to <5.1, and ≥5.1 mmol/L). Univariate and multivariate logistic regression analysis were used to identify risk factors for GDM, and receiver operating characteristic (ROC) curve was applied to evaluate the efficacy of FPG in early pregnancy based on different pre-BMI in predicting GDM. Results:The overall incidence of GDM in the singleton pregnancy women with FPG levels in early pregnancy ≤5.6 mmol/L was 12.3% (1 197/9 710). For a pre-BMI of <18.5 kg/m 2, the ORs with 95% CIs for GDM within the different FPG categories (<4.5, ≥4.5 to <4.8, ≥4.8 to <5.1, and ≥5.1 mmol/L) were 0.041 (95% CI: 0.015-0.409), 1.834 (95% CI: 1.089-3.088), 6.779 (95% CI: 4.041-11.371), and 13.723 (95% CI: 5.560-33.871), respectively. For pre-BMI of ≥18.5 to <25.0 kg/m 2, the respective the ORs with 95% CIs were 0.048 (95% CI: 0.012-0.203), 2.573 (95% CI: 2.091-3.168), 9.023 (95% CI: 7.240-11.245), and 9.158 (95% CI: 6.484-12.937). For pre-BMI of ≥25.0 to <30.0 kg/m 2, the ORs with 95% CIs were 0.108 (95% CI: 0.053-0.446), 1.698 (95% CI: 1.064-2.654), 7.537 (95% CI: 5.285-13.080), and 9.994 (95% CI: 5.613-18.218). For pre-BMI of ≥30.0 kg/m 2, the ORs with 95% CIs were 0.098 (95% CI: 0.072-1.015), 2.888 (95% CI: 0.911-9.157), 13.674 (95% CI: 3.480-53.736), and 20.509 (95% CI: 6.674-63.019). The optimal cutoff value of FPG in early pregnancy for GDM prediction was 4.7 mmol/L with an area under the curve of 0.752, the risk of GDM significantly increased with FPG levels ≥4.7 mmol/L in early pregnancy across all pregnant women ( OR=17.356, 95% CI: 13.757-21.896, P<0.001). Conclusions:In the singleton pregnancy women with FPG levels in early pregnancy ≤5.6 mmol/L, FPG in early pregnancy is an independent risk factor for the occurrence of GDM; for pregnant women stratified by the same pre-BMI, the risk of developing GDM increases progressively with the rise of FPG in early pregnancy. FPG in early pregnancy has a certain value in predicting the occurrence of GDM.