Objective: To investigate the incidence and risk factors of open gingival embrasures (OGEs) in the incisor region after treatment with clear aligners in adult non-extraction patients and provide a reference for preventing the occurrence of an open gingival wedge gap in the incisal area after orthodontic treatment. Methods: This study has been reviewed and approved by the institutional medical ethics committee, and informed consent was obtained from the patients. A total of 125 adult patients with malocclusion who completed clear aligner treatment at Hefei Stomatological Hospital from September 2022 to December 2024 were selected as the study subjects. Based on the presence or absence of OGEs in the incisor region observed in frontal intraoral photographs taken immediately after treatment completion, the patients were divided into a normal group and an OGE group. Clinical data, including intraoral photographs, digital models, and cone-beam computed tomography before and after treatment, were analyzed. Measurements such as incisor overlap and rotation, crown morphology, number of attachments, and interproximal enamel reduction (IPR) were recorded and analyzed. Results: The incidence of OGEs between the maxillary and mandibular central incisors after clear aligner treatment in adult patients was 28.8% and 39.2%, respectively. No statistically significant differences were observed between the normal and OGE groups in terms of sex, Angle's classification, gingival biotype, overbite, overjet, IPR amount, age, treatment duration, tooth axis angulation, or horizontal movement distance of mandibular central incisors before and after treatment (P 0.05). However, significant differences were found in the number of attachments, anteroposterior distance between mesial incisal angles, distance from the interproximal contact point (ICP) to the alveolar bone crest (ABC) (ICP-ABC), horizontal distance between mesial cementoenamel junction (CEJ) of two adjacent central incisors (CEJ-CEJ) and labial alveolar bone thickness (P 0.05). IPR amount and mandibular incisor intrusion were significantly associated with the severity of OGEs (P 0.05). Regression analysis revealed that the number of attachments, anteroposterior distance between mesial incisal angles, ICP-ABC distance, and CEJ-CEJ horizontal distance were significantly correlated with the occurrence of OGEs. Conclusion The incidence of open gingival embrasures in the mandibular central incisor region is relatively high among adult patients treated with clear aligners. The number of attachments (n = 2), the anteroposterior distance between the mesio-incisal angles, the distance from the tooth contact point to the alveolar bone crest, and the horizontal distance between adjacent cementoenamel junctions have been identified as risk factors for the development of open gingival embrasures upon completion of orthodontic treatment.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

OBJECTIVE To explore the effect and potential mechanism of the compatibility of Astragali Radix-Puerariae Lobatae Radix on ferroptosis of liver cells in type 2 diabetes mellitus （T2DM） insulin resistance （IR） rats. METHODS Sixty male SD rats were randomly divided into control group （12 rats） and modeling group （48 rats）. The modeling group was fed with a high- fat diet for 4 consecutive weeks and then given a one-time tail vein injection of 1% streptozotocin to establish T2DM IR model. The model rats were randomly divided into model group， the compatibility of Astragali Radix-Puerariae Lobatae Radix group [QG group， 4.05 g/（kg·d）， intragastric administration]， ferroptosis inhibitor ferrostatin-1 group [Fer-1 group， 5 mg/kg by intraperitoneal injection， once every other day]， the compatibility of Astragali Radix-Puerariae Lobatae Radix+ferroptosis inducer erastin group [QG+erastin group， 4.05 g/（kg·d） by intragastric administration+erastin 10 mg/（kg·d）， intraperitoneal injection]. After 4 weeks of intervention， serum fasting blood glucose （FBG） and fasting insulin （FINS） were measured in each group of rats， and homeostasis model assessment of insulin resistance （HOMA-IR） and the natural logarithm of insulin action index（IAI） were calculated； the serum levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate transaminase （AST） and alanine transaminase （ALT）， Fe2+ and Fe content， glutathione （GSH）， malondialdehyde （MDA） and superoxide dismutase （SOD） levels， NADP+/NADPH ratio and reactive oxygen species （ROS） were determined. The pathological morphology of its liver tissue was observed； the protein expressions of glutathione peroxidase 4 （GPX4）， ferritin heavy chain 1 （FTH1）， long-chain acyl-CoA synthetase 3 （ACSL3）， ACSL4， ferritin mitochondrial （FTMT）， and cystine/glutamate anti-porter （xCT） in the liver tissue of rats were detected. RESULTS Compared with control group， the liver cells in the model group of rats showed disordered arrangement， swelling， deepened nuclear staining， and more infiltration of inflammatory cells， as well as a large number of hepatocyte vacuoles and steatosis； FBG （after medication）， the levels of TC， TG， LDL-C， AST， ALT， FINS， MDA and ROS， HOMA-IR， Fe2+ and Fe content， NADP+/NADPH ratio and protein expression of ACSL4 were significantly increased or up-regulated， while the levels of HDL-C， GSH and SOD， IAI， protein expressions of GPX4， FTH1， ACSL3， FTMT and xCT were significantly reduced or down-regulated （P＜0.01）. Compared with the model group， both QG group and Fer-1 group showed varying degrees of improvement in pathological damage of liver tissue and the levels of the above indicators， the differences in the changes of most indicators were statistically significant （P＜0.01 or P＜0.05）. Compared with QG group， the improvement of the above indexes of QG+erastin group had been reversed significantly （P＜0.01）. CONCLUSIONS The compatibility decoction of Astragali Radix-Puerariae Lobatae Radix can reduce the level of FBG in T2DM IR rats， and alleviate IR degree， ion overload and pathological damage of liver tissue. The above effects are related to the inhibition of ferroptosis.

Objective : To explore the changes of periodontal soft and hard tissue parameters of the maxillary central incisors after the distant migration of the maxillary total dentition in adult patients with different periodontal phenotypes, so as to provide a reference for orthodontic treatment. Methods: The study was approved by the hospital ethics committee, and the patients signed the informed consent form. Fifty-two adult patients in the orthodontic department of Hefei Stomatological Hospital were selected and divided into thick gingival and thin gingival groups, with 26 cases in each group. The labial and palatal alveolar bone parameters and various periodontal indexes of the maxillary central incisor teeth of the two groups were collected and recorded before and after treatment. SPSS 26.0 statistical software was used to statistically analyze the intra-group and inter-group differences. Results: After orthodontic treatment, the differences in sella-nasion-subspinale angle (SNA), sella-nasion-supramental angle (SNB), and subspinale-nasion-supramental angle (ANB) were not statistically significant (P > 0.05). However, the inclination of the upper middle incisor teeth (U1-NA) decreased significantly (P < 0.05), and there was no significant difference in SNA, SNB, ANB, and U1-NA between the two groups after treatment (P > 0.05). The thickness of the labial alveolar bone of the maxillary central incisors in both groups increased at the labial neck 1/3 and labial middle 1/3 (P < 0.05), and decreased at the apical 1/3 (P < 0.05). The thickness of the palatal alveolar bone decreased at the labial neck 1/3 and labial middle 1/3 (P < 0.01), and increased at the apical 1/3 (P < 0.01). In both groups, the height of the lip and palate of the upper jaw decreased to different degrees, and the height of the palatal alveolar bone was lower in the thin gingival group (P < 0.05). There were no significant differences in maxillary central incisor probing depth (PD), lip keratinized tissue width (KTW), or lip gingival recession (GR) between the two groups after treatment (P > 0.05). Conclusion In the process of maxillary central incisor adduction, the labial-palatine alveolar bone remodeling is not uniform, and the alveolar bone of palatine side is mainly absorbed, which should be paid attention to clinically. Palatal alveolar bone height decreased more significantly in patients with thin gingiva after orthodontic treatment, and the risk of bone fenestration and bone dehiscence was greater.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Antibiotics are widely used in clinical treatment of bacterial infection diseases and in the breeding of livestock,poultry and aquatic products.However,the irrational and excessive use of antibiotics not only leads to the emergence of drug-resistant superbugs,but also the antibiotics discharged into the environment pose a significant threat to the environment and human health.Antibiotics have been included in the list of key new pollutants to be controlled.Therefore,the detection of residual antibiotics in environmental media and food is of vital importance for protecting the environment and public health.Among various antibiotic detection methods,electrochemical sensors have attracted extensive attention due to their high sensitivity,low cost,simplicity and rapidity.Appropriate modification of the electrode surface can enhance the sensitivity of electrochemical sensors,reduce interference and expand the detection range.Metal-organic frameworks(MOFs)materials have the advantages of rich types,adjustable structure and activity,high specific surface area and high porosity,and show great application potential in the field of electrochemical sensing.This paper first introduces the synthesis methods of MOFs,reviews the research progress of MOFs-modified electrodes for detection of common antibiotics by electrochemical sensors,and finally looks forward to their future development trends in the field of rapid antibiotic detection.

Current ambient mass spectrometry ionization often requires external auxiliary equipment such as high-voltage power supply,gas cylinder,and syringe pump.Moreover,the process of sample preparation is cumbersome,and the experimental operations are complex,which makes it difficult to adapt to real-time on-site detection.In this work,a novel method was proposed,in which direct sampling of raw samples,online extraction of interest analytes,and ionization of target molecules were integrated into a single unit.With the developed method,the in-situ extraction and nano-electrospray ionization for both liquid and solid raw samples were achieved.Also,a handheld ion source and its pose adjustment device were developed,and the position and angle parameters were subsequently optimized.The performance of the ionization device was tested using standard solutions of caffeine and reserpine.The limits of detection(LODs)were 0.08 μg/L and 0.14 μg/L,with relative standard deviations(RSDs)≤3.7% and≤5.6%,respectively,indicating that the device possessed high sensitivity and stability.Using this device,three different concentrations of reserpine standard solutions were continuously tested for five days.The intra-day RSDs were consistently≤4.7% and the inter-day RSDs were all≤10.3%,showing the good working stability of the device.Without any pretreatment,a rapid qualitative detection of medicinal components including astragaloside II and cycloastragenol in five traditional Chinese medicines was carried out,with RSDs≤8.0% and≤7.1%,respectively.Additionally,rapid qualitative detection of gallic acid,a medicinal component,in white peony roots,and hypaphorine as well as quercetin in cowherb seeds were carried out,with RSDs≤7.0%,≤6.4% and≤6.1%,respectively.These results demonstrated that the ionization technology and device exhibited good stability during qualitative detection of raw samples.

A rapid and accurate method for textile fiber identification was developed for quality control and consumer protection.This method utilized electric soldering iron burning-mesh collision enhanced microtube plasma ionization mass spectrometry(ESIB-MC-μTP-MS)to acquire textile fiber MS data and used a random forest(RF)prediction model to identify fiber composition based on these MS data.The MC-μTP device involved in the method was a homemade low-temperature plasma ionization device constructed using cost-effective and readily available components.The system was applicable for direct analysis of small amount of textile samples without any complex sample pretreatment processes.Characteristic thermal decomposition products of different fibers were generated via soldering iron burning(350℃)in ambient atmosphere,and were subsequently analyzed by a mass spectrometer,with each analysis completed within 5 s.Raw MS data underwent noise reduction,normalization,and global binning steps to form a dataset,and its intrinsic class separability was evaluated using principal component analysis(PCA)combined with k-means clustering.Then,the RF model was trained based on the dimensionality-reduced textile fiber dataset.After grid search optimization,this model demonstrated robust performance with a 0.9762 out-of-bag score,a 0.9683 cross-validation accuracy(5-fold),and a 0.9636 test accuracy,supported by precision,recall,and F1-scores exceeding 0.889 for all fiber classes.The method was applied to analysis of 30 luxury apparel samples from eight brands,among which 20 samples achieved 100%prediction confidence,aligning with labeled compositions.The identification result of two low-confidence samples was further confirmed using attenuated total reflection Fourier transform infrared spectroscopy(ATR-FT-IR).The method has been proven to be simple,portable and with minimal sample requirements for on-site customs inspections,providing a viable tool in the fight against counterfeit products,therefore supporting regulatory enforcement and consumer trust in the textile goods market.

Objective:To explore the CT features and predictive value of radiomics nomogram of visceral pleural invasion (VPI) in stage Ⅰ lung adenocarcinoma with peripheral solid nodules.Methods:One hundred and fifty patients with stage Ⅰ lung adenocarcinoma with peripheral solid nodules treated at the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine from August 2022 to November 2023 were selected as the study objects. Patients from August 2022 to March 2023 were defined as the training set ( n=112), and patients from April 2023 to November 2023 were defined as the validation set ( n=38). The training set was used to build the model, and the training set and validation set were used to evaluate the model performance respectively. In the training set, patients were divided into VPI positive group ( n=35) and VPI negative group ( n=77) based on the occurrence of VPI. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to reduce the dimensionality of features. Multivariate logistic regression analysis was used to predict the influencing factors of VPI, and a radiomics nomogram prediction model was constructed based on the results of the multivariate analysis. Receiver operator characteristic (ROC) curves and calibration curves were used to evaluate the predictive efficacy of the prediction model. Results:There were statistically significant differences in pathological types ( χ2=11.49, P=0.003), focal maximum diameter ( t=5.83, P<0.001), lobulation sign ( χ2=9.29, P=0.002), density ( χ2=8.32, P=0.004), intratumoral necrosis ( χ2=5.86, P=0.015), pleural traction ( χ2=12.88, P<0.001), pleural contact ( χ2=4.82, P=0.028), and adjacent pleural thickening ( χ2=4.87, P=0.027) between the VPI positive group and negative group in the training set. LASSO regression analysis showed that 8 features were ultimately selected, and radiomics scores were constructed based on the corresponding coefficients of the features. Univariate analysis showed that, focal maximum diameter ( OR=1.48, 95% CI: 1.09-2.01, P=0.010), lobulation sign ( OR=5.09, 95% CI: 2.31-6.00, P=0.001), density ( OR=4.25, 95% CI: 1.47-7.18, P=0.004), intratumoral necrosis ( OR=2.27, 95% CI: 1.01-5.17, P=0.049), pleural traction ( OR=6.75, 95% CI: 1.92-13.68, P<0.001), pleural contact ( OR=3.58, 95% CI: 1.18-5.65, P=0.018), adjacent pleural thickening ( OR=3.60, 95% CI: 1.18-5.72, P=0.018), and radiomics score ( OR=19 418.06, 95% CI: 394.18-957 161.04, P<0.001) were all influencing factors in the prediction of VPI in peripheral solid nodule stage Ⅰ lung adenocarcinoma patients. Multivariate analysis showed that, lobulation sign ( OR=6.42, 95% CI: 1.42-18.58, P=0.018), intratumoral necrosis ( OR=3.63, 95% CI: 1.01-10.01, P=0.046), pleural traction ( OR=4.19, 95% CI: 1.17-10.92, P=0.028), and radiomics score ( OR=179 711.20, 95% CI: 525.13-61 552 573.59, P<0.001) were independent influencing factors in the prediction of VPI in patients with stage Ⅰ peripheral solid nodules of lung adenocarcinoma. A radiomics nomogram prediction model was established for indicators with statistical significance in multivariate analysis. ROC curve analysis showed that in the training set and validation set, the area under the curve (AUC) of the radiomics nomogram model predicting VPI of patients with peripheral solid nodules in stage Ⅰ lung adenocarcinoma was 0.88 (95% CI: 0.82-0.94) and 0.87 (95% CI: 0.78-0.97), respectively, and the sensitivity was 93% and 82%, respectively. The specificity was 72% and 80%, respectively. C-indices of the training and validation set were 0.89 (95% CI: 0.84-0.96) and 0.88 (95% CI: 0.78-0.99), respectively, and the calibration curves of both sets fitted well with the ideal curve. Conclusions:The CT features of VPI in stage Ⅰ lung adenocarcinoma with peripheral solid nodules are lobular sign, intratumoral necrosis, and pleural traction. The radiomics nomogram model based on CT features of lobular sign, intratumoral necrosis, pleural traction, and radiomics score can predict VPI in patients with peripheral solid nodules in stage Ⅰ lung adenocarcinoma has high predictive efficacy.

The reform of payment based on disease diagnosis related grouping (DRG) is an important measure to deepen the medical security system. Its implementation will have a profound impact on the operation and management of public TCM hospitals from four aspects: medical service efficiency, cost, quality, and medical resource allocation. At the same time, there are also difficulties in reform, such as the contradiction between personalized diagnosis and treatment in TCM and standardized payment in DRG 2.0, compatibility issues between TCM medical record data and DRG 2.0 grouping system, limitations of special case negotiation mechanism, and difficulty in cost control and accounting. In response, this study formulated targeted strategies and recommendations intended to facilitate the effective implementation of the DRG 2.0 payment system, and bolster the operational and administrative efficacy of public TCM hospitals, culminating in a favorable scenario of tripartite synergy among "healthcare providers, insurers, and patients".