BACKGROUND:Dental pulp stem cells,which derived from the dental pulp tissue,are one type of dental-derived mesenchymal stem cells,possess significant properties of self-renewal and multi-lineage differentiation.In recent years,series of researches focus on dental pulp stem cells and their derivatives such as extracellular vesicles,conditioned medium,and decellularized extracellular matrix,those have positive effects on the repair and regeneration of pulp tissue injury,showing an attractive clinical application.OBJECTIVE:To systematically review the researches and applications of dental pulp stem cells and their derivatives in dental pulp tissue engineering.METHODS:Literature searches were conducted in PubMed,China Biology Medicine(CBM),and China National Knowledge Infrastructure(CNKI)databases for articles published from January 2005 to June 2023.The search terms included"dental pulp stem cells,extracellular vesicles,exosomes,apoptotic bodies,conditioned medium,decellularized matrix,regeneration"in Chinese and English.After screening the titles and abstracts,duplicate and irrelevant studies were excluded.Finally,103 studies closely related to dental pulp regeneration were included for review and analysis.RESULTS AND CONCLUSION:Dental pulp stem cells and their derivatives are rich in lots of bioactive factors that can effectively promote odontogenic,angiogenic,and neurogenic differentiation,exhibiting significant potential in the formation of the pulp-dentin complex.However,the clinical translation of dental pulp stem cells and their derivatives still faces several challenges.Future researches should focus on optimizing preparation protocols,elucidating the underlying mechanisms of action,and refining safety assessments to provide novel therapeutic strategies for the repair of dental pulp injury.

Based on spleen deficiency-phlegm dampness as the core pathogenesis of obesity， and integrating recent advances in modern medicine regarding the key role of immune inflammation in obesity， this paper proposes a multidimensional pathogenic network of "obesity-spleen deficiency-phlegm dampness-immune imbalance". Various traditional Chinese medicine （TCM） herbs that strengthen the spleen， regulate qi， and resolve phlegm and dampness can treat obesity by improving spleen-stomach transport and transformation， promoting water-damp metabolism， and regulating immune homeostasis. This highlights immune inflammation as an important entry point to elucidate the TCM concepts of "spleen deficiency-phlegm dampness" and the therapeutic principle of "strengthening the spleen and eliminating dampness to treat obesity". By systematically analyzing the intrinsic connection between "spleen deficiency generating dampness， internal accumulation of phlegm dampness" and immune dysregulation in obesity， this paper aims to provide theoretical support for TCM treatment of obesity based on dampness.

BACKGROUND:Dental pulp stem cells,which derived from the dental pulp tissue,are one type of dental-derived mesenchymal stem cells,possess significant properties of self-renewal and multi-lineage differentiation.In recent years,series of researches focus on dental pulp stem cells and their derivatives such as extracellular vesicles,conditioned medium,and decellularized extracellular matrix,those have positive effects on the repair and regeneration of pulp tissue injury,showing an attractive clinical application.OBJECTIVE:To systematically review the researches and applications of dental pulp stem cells and their derivatives in dental pulp tissue engineering.METHODS:Literature searches were conducted in PubMed,China Biology Medicine(CBM),and China National Knowledge Infrastructure(CNKI)databases for articles published from January 2005 to June 2023.The search terms included"dental pulp stem cells,extracellular vesicles,exosomes,apoptotic bodies,conditioned medium,decellularized matrix,regeneration"in Chinese and English.After screening the titles and abstracts,duplicate and irrelevant studies were excluded.Finally,103 studies closely related to dental pulp regeneration were included for review and analysis.RESULTS AND CONCLUSION:Dental pulp stem cells and their derivatives are rich in lots of bioactive factors that can effectively promote odontogenic,angiogenic,and neurogenic differentiation,exhibiting significant potential in the formation of the pulp-dentin complex.However,the clinical translation of dental pulp stem cells and their derivatives still faces several challenges.Future researches should focus on optimizing preparation protocols,elucidating the underlying mechanisms of action,and refining safety assessments to provide novel therapeutic strategies for the repair of dental pulp injury.

Glaesserella parasuis is the causative agent of Gl?sser's disease in pigs.However,the pathogenic mechanisms underlying its virulence is not yet fully understood.The RuvB protein,a member of the AAA+superfamily,is implicated in various cellular processes,yet its specific role in the virulence of Glaesserella parasuis has not been fully characterized.In this study,we con-structed a RuvB gene deletion mutant,designated ΔRuvB,using the serotype 13 Glaesserella pa-rasuis strain ZJ1208 and a suicide plasmid-mediated natural transformation approach.To elucidate the functional role of the RuvB gene,we comprehensively evaluated the biological characteristics of the ΔRuvB strain through a series of assays,including growth kinetics,colony morphology,bac-terial staining,transmission electron microscopy(TEM),osmotic stress tolerance,high-tempera-ture tolerance,heat shock resistance,UV resistance,capsular polysaccharide quantification,serum bactericidal assays,and murine virulence experiments.Our findings revealed that the growth rate of ΔRuvB showed no significant difference compared to the parental strain.TEM revealed a notable increase in bacterial cell length;however,the number of outer membrane vesicles(OMVs)on the surface of ΔRuvB did not significantly increase.Notably,the ΔRuvB strain displayed a significant reduction in capsular polysaccharide production and serum resistance,as well as diminished toler-ance to UV radiation and high temperatures.Significant alterations were observed in its resistance to osmotic stress or oxidative stress.In the mouse toxicity challenge experiment,in com-parison with the parental strain ZJ1208,the mortality rate dropped by 20 percentage points,suggesting that the virulence of ΔRuvB has been weakened to some extent.Collectively,these results underscore the critical role of the RuvB gene in enhancing the environmental adaptability of Glaesserella parasuis.

Objective To summarize and analyze the CT or MRI imaging signs of ovarian torsion in children.Methods The CT or MRI data of 24 children surgically confirmed ovarian torsion were analyzed retrospectively,focusing on imaging signs such as ovarian position,size,the relationship with surrounding appendages and uterus.Results In this group of cases,8 cases underwent CT examination and 16 cases underwent MRI examination.Among the age of children,12 cases were in newborns,and 6 cases were in school-age and adolescent children respectively.It was more common in newborns and children aged 10-12 years old.Among the 24 patients,3 cases(12.5％)had primary ovarian torsion,all of which were adolescent children;21 cases(87.5％)had secondary ovarian torsion,with all torsions in the neonatal period were secondary ovarian torsion.Among secondary ovarian torsion,there were 7 cases(33.3％)of ovarian teratoma with torsion,12 cases(57.1％)of simple ovarian cysts,1 case(4.7％)of ovarian serous cystadenoma,and 1 case(4.7％)of ovarian mucinous cyst.Torsion occurred in 9 cases(37.5％)of the left ovary and 15 cases(62.5％)of the right ovary,with right ovarian torsion being more common.Imaging signs included varying degrees of enlargement of the ovaries on the ipsilateral side of the torsion,with 14 cases(58.3％)of ovarian masses had a maximum diameter≥5 cm,and 3-5 cm being more common in the neonatal period.There were 11 cases(45.8％)with the pedicle sign/vortex sign on the ipsilateral side of the torsion,9 cases(37.5％)with mass and hemorrhage,4 cases(16.7％)with mass displacement to the midline or uterine displacement to the ipsilateral side,and 3 cases(12.5％)of the ovarian follicle outward migration showed fruit bowl sign.Conclusion Secondary ovarian torsion is relatively common in children,with distinctive imaging manifestations.Especially when neonatal ovarian cysts show hemorrhagic signals should be alert to the risk of ovarian torsion.CT and MRI examinations can provide a powerful reference for the clinical diagnosis of ovarian torsion in children.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Objective:To investigate the relationship between the serum levels of vascular endothelial growth factor (VEGF), matrix metalloproteinase-9 (MMP-9), S100 calcium binding protein B (S100B) with glycolipid metabolism, pregnancy outcome in pregnant women with gestational diabetes.Methods:The clinical data of 153 pregnant women with gestational diabetes (research group) and 153 healthy pregnant women (control group) in the Second Affiliated Hospital of Xi ′an Medical University from January 2020 to October 2023 were retrospectively analyzed. The serum levels of VEGF, MMP-9 and S100B were measured by enzyme linked immunosorbent assay, and the fasting blood glucose, triglyceride, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting insulin and glycated hemoglobin were measured, and the homeostasis model assessment insulin resistance index (HOMA-IR) was calculated. The adverse outcomes of pregnant women with gestational diabetes were recorded. Pearson method was used to analyze the correlation between glycolipid metabolism indexes and VEGF, MMP-9, S100B in pregnant women with gestational diabetes. Multivariate Logistic regression was used to analyze the independent risk factors of adverse pregnancy outcome in pregnant women with gestational diabetes. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of VEGF, MMP-9 and S100B on adverse pregnancy outcome in pregnant women with gestational diabetes. Results:The fasting blood glucose, fasting insulin, glycated hemoglobin, HOMA-IR, triglyceride, total cholesterol, LDL-C, VEGF, MMP-9 and S100B in research group were significantly higher than those in control group: (9.42 ± 0.65) mmol/L vs. (4.13 ± 0.46) mmol/L, (16.58 ± 2.37) mU/L vs. (13.41 ± 2.05) mU/L, (7.28 ± 0.46)% vs. (4.35 ± 0.39)%, 4.83 ± 0.42 vs. 2.71 ± 0.37, (3.41 ± 0.67) mmol/L vs. (2.85 ± 0.63) mmol/L, (5.54 ± 1.56) mmol/L vs. (5.12 ± 1.50) mmol/L, (3.14 ± 0.97) mmol/L vs. (2.86 ± 0.93) mmol/L, (184.02 ± 30.25) ng/L vs. (156.33 ± 26.41) ng/L, (45.78 ± 7.56) μg/L vs. (29.36 ± 5.03) μg/L and (117.51 ± 25.12) ng/L vs. (89.74 ± 22.46) ng/L, the HDL-C was significantly lower than that in control group: (1.34 ± 0.27) mmol/L vs. (1.42 ± 0.30) mmol/L, and there were statistical differences ( P<0.01 or <0.05). Pearson correlation analysis result showed that VEGF, MMP-9, S100B in pregnant women with gestational diabetes were positively correlated with fasting blood glucose, fasting insulin, glycated hemoglobin, HOMA-IR, triglyceride, total cholesterol and LDL-C ( P<0.01), negatively correlated with HDL-C ( P<0.01). Among 153 pregnant women with gestational diabetes, 49 had adverse pregnancy outcome, and 104 had good pregnancy outcome. The VEGF, MMP-9 and S100B in pregnant women with adverse pregnancy outcome were significantly higher than those in pregnant women with good pregnancy outcome: (212.75 ± 28.63) ng/L vs. (170.49 ± 26.58) ng/L, (52.37 ± 7.14) μg/L vs. (42.68 ± 6.35) μg/L and (136.83 ± 23.62) ng/L vs. (108.41 ± 21.35) ng/L, and there were statistical differences ( P<0.01). Multivariate Logistic regression analysis result showed that VEGF, MMP-9 and S100B were independent risk factors for adverse pregnancy outcome in pregnant women with gestational diabetes ( OR = 7.013, 5.382 and 6.129; 95% CI 5.206 to 9.447, 3.449 to 8.398 and 3.520 to 10.673; P<0.01). ROC curve analysis result showed that the area under the curve of VEGF, MMP-9 combined S100B in predicting adverse pregnancy outcome in pregnant women with gestational diabetes was significantly larger than that of VEGF, MMP-9 and S100B alone (0.945 vs. 0.863, 0.847 and 0.801; P<0.05 or <0.01), with sensitivity of 89.80% and specificity of 91.30%. Conclusions:The high serum levels of VEGF, MMP-9 and S100B are associated with abnormal glycolipid metabolism and adverse pregnancy outcome in pregnant women with gestational diabetes, and the combination of the three indexes has a high predictive value for adverse pregnancy outcome.

Objective:To analyze the prediction of pathological classification of ground glass nodules based on artificial intelligence computed tomography (CT) quantitative parameters combined with histogram parameters.Methods:The clinical data of 268 suspected patients with ground glass nodules admitted to Foshan Fosun Chancheng Hospital from June 2021 to June 2023 were retrospectively selected as the research subjects. They were divided into pre invasive lesions group (100 cases) and invasive lesions group(168 cases) according to pathological classification. Basic data of patients with different pathological classifications and the CT characteristics were compared, the prediction of pathological classification of ground glass nodules based on CT quantitative parameters combined and histogram parameters were analyzed by receiver operating characteristic (ROC) curve.Results:The edge and boundary of the tumor, shape of the lesion, the peripheral signs of the lesion and the boundary between the two groups had statistical differences ( P<0.05). The CT quantitative parameters of maximum diameter, lesion volume, average CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (15.29 ± 3.20) cm vs. (9.75 ± 2.14) cm, (1.54 ± 0.31) cm 3 vs. (0.51 ± 0.10) cm 3, (- 328.16 ± 46.35) HU vs. (-541.25 ± 100.30) HU, P<0.05. The CT histogram parameters of inproportion of solid components, entropy and maximum CT value in the invasive lesions group and pre invasive lesions group had statistical differences: (66.39 ± 13.25)% vs. (42.65 ± 11.20)%, 4.31 ± 0.52 vs. 3.32 ± 0.39, (-75.34 ± 21.27) HU vs. (-141.72 ± 32.43)HU, P<0.05. Compared with the single prediction of CT quantitative parameters and CT histogram parameters, the combined prediction of the two parameters had higher value in predicting different pathological subtypes of ground glass nodules (the area under the curve was 0.877, P = 0.001). Conclusions:The combined detection of CT quantitative parameters and histogram parameters based on artificial intelligence can effectively evaluate the invasion status of ground glass nodules, which is beneficial for improving the detection of different pathological types of ground glass nodules.