BACKGROUND:Socket-shield technique can effectively maintain labial soft and hard tissues,but the incidence of postoperative complications such as exposure and displacement of root shield is relatively high.It is speculated that the root shield may be exposed and displaced due to excessive load after long-term function of dental implants. OBJECTIVE:Through three-dimensional finite element analysis,we aim to study the influence of varying root shield thicknesses on the stress distribution,equivalent stress peaks,and displacement in the root shield,periodontal ligaments,implant,and surrounding alveolar bone under normal occlusal loading.We also attempt to analyze the correlation between the thickness of the root shield and occurrence of mechanical events such as root shield exposure,displacement,and fracture. METHODS:Cone-beam CT data of a patient who met the indication standard of socket-shield technique for maxillary central incisor were retrieved from database.Reverse engineering techniques were used to build models of the maxillary bone and root shield,while forward engineering was used to create models for the implant components based on their parameters.Models depicting various root shield thicknesses(0.5,1.0,1.5,and 2.0 mm)were created using Solidworks 2022 software.ANSYS Workbench 2021 software was then used to simulate and analyze the effects of varying root shield thicknesses on stress distribution,equivalent stress peaks,and displacement of the root shields,periodontal ligaments,implants,and surrounding alveolar bone under normal occlusion. RESULTS AND CONCLUSION:(1)In all root shield models,the stress was concentrated on the palatal cervical side,both sides of the edges and the lower edge of the labial side.As the thickness of the root shield increased,the equivalent stress peak and displacement showed a decreasing trend.The 0.5 mm thickness model produced a stress concentration of 176.20 MPa,which exceeded the yield strength(150 MPa)of tooth tissue.(2)The periodontal ligament stress in each group was concentrated in the neck margin and upper region.With the increase of root shield thickness,the equivalent stress peak and displacement of periodontal ligament showed a decreasing trend.(3)Implant stress in all models was concentrated in the neck of the implant and the joint of the implant-repair abutment,and the labial side was more concentrated than the palatal side.With the increase of root shield thickness,the equivalent stress peak of the implant in the model showed an increasing trend.(4)In each group of models,stress of cortical bone concentrated around the neck of the implant and the periphery of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the equivalent stress peak around the root shield decreased;the peak value of the equivalent stress of the bone around the neck of the implant showed an increasing trend.In the model,the stress of cancellous bone was mainly concentrated around the neck of the lip of the implant,the top of the thread,the root tip and the lower margin of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the peak value of the equivalent stress of the bone around the root shield in the model showed a decreasing trend.The minimum principal stress of cortical bone in each group of models was concentrated around the neck of the implant,exhibiting a fan-shaped distribution.As the thickness of the root shield increased,the minimum principal stress of cortical bone showed an increasing trend.(5)These results indicate that different thicknesses of the root shield have different biomechanical effects.The root shield with a thickness of 0.5 mm is easy to fracture.For patients with sufficient bone width,the root shield with a thickness of 2.0 mm is an option to reduce the risk of complications such as root shield exposure,fracture,and displacement.Meanwhile,it should be taken into account to protect the periodontal ligament in the preparation process,and rounding treatments ought to be carried out on both sides and the lower edge of the root shield.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Diabetic retinopathy(DR)is a kind of microvascular disease caused by the long-term influence of diabetes mellitus(DM),and it is one of the main cause of global visual impairment and blindness.Its typical characteristics include microaneurysms,hard exudates,macular edema(DME)and neovascularization.Its pathogenesis is diverse,and the root cause is oxidative stress and advanced glycosylation end products.The nuclear red blood cell related factor 2(Nrf2)signa-ling pathway plays an important role in preventing various diseases.As one of the characteristics of DM,hyperglycemia will activate the generation of reactive oxygen species(ROS)in mitochondria.These oxidative stress factors activate the nucle-ar transcription factor κB pathway,becoming the main inducement of various complications of DM.This pathway will in-duce increased transcription of proinflammatory cytokines,including tumor necrosis factor-alpha,transforming growth fac-tor-beta and interleukin-1.The active ingredients of traditional Chinese medicine have significant antioxidant,anti-inflam-matory,anti-apoptotic and angiogenesis-promoting effects,and can block the progression of DR through various mecha-nisms.In this article,the research status of traditional Chinese medicine targeting the Nrf2 signaling pathway in the preven-tion and treatment of DR is reviewed to guide clinical and scientific research.

Objective:To develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.

Background and Aims:Oncoplastic breast-conserving surgery(OBCS)integrates oncologic and plastic surgical techniques and includes two primary approaches:volume displacement and volume replacement.The pedicled lateral thoracic artery perforator(LTAP)flap is a commonly used technique for volume replacement.Although recent studies in China have confirmed its safety in OBCS,its patient-reported outcomes have not been systematically evaluated,and comparative data with volume displacement techniques remain lacking.Therefore,this study was performed to compare the clinical outcomes and patient satisfaction of LTAP flap versus mammoplasty(volume displacement)in OBCS,to inform surgical decision-making.Methods:A retrospective case-control study was conducted,including 106 patients with unilateral stage 0-Ⅲ breast cancer who underwent OBCS at the Affiliated Hospital of Southwest Medical University from January 2023 to June 2024.Patients were divided into the LTAP flap group(27 cases)and the mammoplasty group(79 cases)based on the surgical technique.Intraoperative variables,cosmetic outcomes,postoperative complications,and Breast-Q scores before and after surgery were compared between the two groups.Results:There were no significant differences between the two groups in clinicopathological characteristics or preoperative Breast-Q scores(all P>0.05).The LTAP group had longer operative times,larger excised tissue volumes,and greater postoperative drainage volumes(all P<0.001).Postoperative cosmetic outcomes were significantly better in the LTAP group,with a higher rate of excellent-to-good cosmetic results(88.9%vs.57.3%)and higher Breast-Q scores in breast satisfaction,psychosocial well-being,and physical well-being(all P<0.05).There were no significant differences in complication rates or local recurrence between the two groups(all P>0.05).Conclusion:In OBCS,the LTAP flap demonstrates comparable safety to mammoplasty while achieving superior cosmetic outcomes and patient satisfaction.It is particularly suitable for patients with small breast volumes requiring large tissue excision and holds promise for broader clinical application.

ObjectiveTo investigate the mechanism of Huangqin Tang （HQT） in regulating metabolic reprogramming during the inflammation-cancer transformation in colitis-associated colorectal cancer （CAC）. MethodsCAC mouse model was established using the carcinogen azoxymethane （AOM） combined with the inflammatory agent dextran sulfate sodium （DSS）. HQT treatment was adopted. Serum metabolomics analysis was performed at three stages （inflammation， proliferation， and tumor formation） using liquid chromatography-tandem mass spectrometry （LC-MS/MS） untargeted metabolomics coupled with multivariate statistical analysis to explore the mechanism of HQT intervention in metabolism in CAC. ResultsThe results revealed that HQT significantly reversed the disturbance of key metabolites in CAC mice. A total of 52， 67， and 45 differential metabolites were identified in the model group， compared to the normal group， during inflammation， proliferation， and tumor stages， respectively. Lactate， linoleic acid， oleic acid， elaidic acid， and betaine were characteristic metabolites persistently enriched throughout colitis-cancer transformation. Pathway enrichment analysis of differential metabolites showed that linoleic acid metabolism and arachidonic acid metabolism were the most significantly disturbed in CAC pathogenesis. The proliferation stage featured expanded amino acid metabolic networks， while the tumor stage uniquely exhibited two new pathways of nicotinate and nicotinamide metabolism and phosphoinositide metabolism. HQT exerted stage-specific regulatory effects： targeting arachidonic acid metabolism in the inflammation stage， correcting the dysregulation of choline-carnitine metabolism in the proliferation stage， and rescuing nicotinamide and tryptophan metabolic collapse in the tumor stage. ConclusionHQT exerts regulatory effects on metabolic disorders at various stages of the colitis-cancer transformation process， thereby effectively slowing the progression from colitis to cancer. The study also reveals the dynamic metabolic characteristics of colorectal "inflammation-cancer transformation，"providing new insights for research on the targeted mechanisms of traditional Chinese medicine in anti-tumor therapy based on metabolic reprogramming.

Objective:To investigate the changes in hepatic phase II detoxification enzymes and their mechanism in metabolic associated steatohepatitis (MASH) induced by a methionine-choline-deficient (MCD) diet in mice.Methods:Ten C57BL/6J mice were randomly divided into two groups, with five mice in each group, and fed with a control diet (NCD group) and a methionine-choline-deficient diet (MCD group) for four consecutive weeks to establish the MASH model in mice. Mice body weight was recorded weekly. Mice peripheral blood and liver tissue samples were collected after four weeks. The liver histopathological changes were observed by hematoxylin-eosin staining and Sirius red staining in liver tissue. The levels of plasma alanine aminotransferase (ALT), aspartate aminotransferase (AST) and triglycerides were measured by an automatic biochemical analyzer. Triglyceride and total cholesterol were used to evaluate the lipid accumulation condition in the liver of mice with Oil red O staining. Real-time fluorescence quantitative PCR was used to detect the expression of liver inflammatory factors interleukin (IL)-1β and monocyte chemoattractant protein-1 (MCP-1) condition. Transcriptome sequencing and bioinformatics were used to analyze the changes in gene expression profiles in the liver of mice and screen differentially expressed genes. The expression conditions of phase Ⅱ detoxification enzymes glutathione S-transferase mu 4 (GSTM4), dihydronicotinamide riboside:quinone oxidoreductases (NQO-2), sulfotransferase 1β1 (SULT1β1), and uridine diphosphate glucuronosyltransferase 2 family, polypeptide A3(UGT2A3) were verified by real-time fluorescent quantitative PCR. Plasma malondialdehyde content, total antioxidant capacity (T-AOC), plasma and liver glutathione content were determined using commercial kits. The expression of nuclear factor E2-related factor 2 (Nrf2), GSTM4, and UGT1A6 was examined by Western blotting. The independent sample t-test was used for comparison between the groups. Results:The body weight of mice in the MCD group showed a gradual downward trend, while the body weight of mice in the NCD group did not change significantly following four weeks of different dietary feeding. The MCD group mice liver had yellow-white appearance with round edges. The liver/body mass index was significantly lower in the NCD group ( t=3.216, P<0.01). Hematoxylin-eosin staining showed that hepatocytes in the MCD group had an occurrence of fatty degeneration accompanied by inflammatory cell infiltration, with a higher NAFLD activity score (NAS) compared to the NCD group ( t=7.155, P<0.001). Sirius red staining showed that the the liver of the MCD group had mildly increased periportal fibers. Plasma biochemical tests indicated that plasma ALT, AST, and triglyceride levels were significantly higher in the MCD group than those in the NCD group ( t=8.920, P<0.001; t=6.696, P<0.001; t=3.904, P<0.01). Oil red O staining showed that a large number of lipid droplets accumulated in the liver tissue of the MCD group and were more severe than those in the NCD group ( t=7.405, P<0.001). The triglyceride content was significantly higher in the liver of the mice in the MCD group than that in the NCD group ( t=3.559, P<0.01), and the expression of inflammatory factors IL-1β and MCP-1 was significantly increased ( t=2.562 and 2.391, respectively, P<0.05). Transcriptome sequencing analysis showed that the expression profile of genes related to lipid metabolism was changed in the liver tissue of the mice in the MCD group. The expression of multiple phase Ⅱ detoxification enzymes was significantly downregulated. Real-time fluorescence quantitative PCR verification demonstrated that the expression of four phase Ⅱ detoxification enzymes GSTM4, NQO2, SUIL1β1, and UGT2A3 were significantly lower in the liver of the mice in the MCD group than those in the NCD group ( t=2.498, 3.570, 3.768, and 4.166, respectively, P<0.05). The detection kit showed that compared with the NCD group, the malondialdehyde content in the liver of mice in the MCD group increased ( t=3.601, P<0.01), while the plasma total glutathione ( t=11.93, P<0.001) and reduced glutathione levels were significantly reduced ( t=3.635, P<0.01). The total antioxidant capacity of the liver decreased ( t=2.872, P<0.05), and the total glutathione and reduced glutathione levels in the liver were significantly increased ( t=3.175 and 3.064, P<0.05). Western blotting showed that the expression of Nrf2, GSTM4, and UGT1A6 proteins was significantly lower in the MCD group than that in the NCD group ( t=3.385, 2.990, 2.168, P<0.05). Conclusions:The expressions of multiple phase Ⅱ detoxification enzymes and antioxidant capacity are reduced in the liver of MASH mice induced by the MCD diet, and its mechanism is related to the down-regulation of the expression of the upstream regulatory factor Nrf2 protein.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.