The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

Objective:To investigate the expression, prognosis, and role of G protein-coupled receptor kinase-interacting protein 1 (GIT1) in patients with hepatocellular carcinoma (HCC) tumor micro environments.Methods:Clinical data of 140 cases who underwent complete HCC surgical resection from January 2015 to December 2021 in Subei People's Hospital affiliated to Yangzhou University, Jiangsu Province, were included. Tumor tissue and adjacent tissue samples were collected for immunohistochemical analysis. The patients were divided into a high expression group and a low expression group according to the expression of GIT1. Cox regression was used to analyze the risk factors for prognosis in patients with HCC. Fifteen pairs of cancer tissues and adjacent tissues were randomly matched for quantitative polymerase chain reaction (RT-PCR), western blot (WB), and immunohistochemical analysis. GITI knockout or overexpression cell lines of human hepatoma cell lines HepG2, HuH7 and MHCC97-H, and mouse hepatoma cell line Hepa 1-6 were constructed. The effects on M2 macrophage polarization were analyzed by flow cytometry. A mice tumor model was constructed. The growth curve of tumor tissue overexpressing GIT1 was plotted. Bioinformatics analysis of the Cancer Genome Atlas (TCGA) data was performed using OncoLnc, Kaplan-Meier Plotter, UALCAN, and GEPIA databases to explore the differential expression of GIT1 in HCC patients and its effect on prognosis.Results:Bioinformatics analysis showed that the expression level of GIT1 was significantly higher in HCC tissues than in normal liver tissues ( P<0.05). RT-PCR and WB experiments showed that GIT1 was highly expressed in HCC. The follow-up results showed that high expression of GIT1 was associated with poor prognosis in patients with HCC. The high expression of GIT1 was an independent risk factor for the prognosis in patients with HCC ( HR=2.562, 95% CI: 0.231-0.704, P<0.05). Functional enrichment analysis combined with TIMER database analysis found that GIT1 expression level was associated with multiple immune cell infiltrations in HCC, but the correlation coefficient with macrophage infiltration was the highest ( r=0.545, P<0.001). Mice tumorigenesis experiments showed that the tumor volume of GIT1-overexpressing mice was significantly increased ( P<0.05). Additionally, flow cytometry indicated that after GIT1 overexpression, there was a low degree of M1 infiltration/polarization (wild type: 5.06%±0.11%, overexpression type: 4.09%±0.04%; P<0.05) and a high degree of M2 infiltration/polarization (wild type: 10.20%±0.33%, overexpression type: 14.7%±0.12%; P<0.05). Conclusion:GIT1 serves as a prognostic biomarker in HCC, promoting tumor progression through its high expression and enhances M2 macrophage infiltration.

The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

Objective:To investigate the expression, prognosis, and role of G protein-coupled receptor kinase-interacting protein 1 (GIT1) in patients with hepatocellular carcinoma (HCC) tumor micro environments.Methods:Clinical data of 140 cases who underwent complete HCC surgical resection from January 2015 to December 2021 in Subei People's Hospital affiliated to Yangzhou University, Jiangsu Province, were included. Tumor tissue and adjacent tissue samples were collected for immunohistochemical analysis. The patients were divided into a high expression group and a low expression group according to the expression of GIT1. Cox regression was used to analyze the risk factors for prognosis in patients with HCC. Fifteen pairs of cancer tissues and adjacent tissues were randomly matched for quantitative polymerase chain reaction (RT-PCR), western blot (WB), and immunohistochemical analysis. GITI knockout or overexpression cell lines of human hepatoma cell lines HepG2, HuH7 and MHCC97-H, and mouse hepatoma cell line Hepa 1-6 were constructed. The effects on M2 macrophage polarization were analyzed by flow cytometry. A mice tumor model was constructed. The growth curve of tumor tissue overexpressing GIT1 was plotted. Bioinformatics analysis of the Cancer Genome Atlas (TCGA) data was performed using OncoLnc, Kaplan-Meier Plotter, UALCAN, and GEPIA databases to explore the differential expression of GIT1 in HCC patients and its effect on prognosis.Results:Bioinformatics analysis showed that the expression level of GIT1 was significantly higher in HCC tissues than in normal liver tissues ( P<0.05). RT-PCR and WB experiments showed that GIT1 was highly expressed in HCC. The follow-up results showed that high expression of GIT1 was associated with poor prognosis in patients with HCC. The high expression of GIT1 was an independent risk factor for the prognosis in patients with HCC ( HR=2.562, 95% CI: 0.231-0.704, P<0.05). Functional enrichment analysis combined with TIMER database analysis found that GIT1 expression level was associated with multiple immune cell infiltrations in HCC, but the correlation coefficient with macrophage infiltration was the highest ( r=0.545, P<0.001). Mice tumorigenesis experiments showed that the tumor volume of GIT1-overexpressing mice was significantly increased ( P<0.05). Additionally, flow cytometry indicated that after GIT1 overexpression, there was a low degree of M1 infiltration/polarization (wild type: 5.06%±0.11%, overexpression type: 4.09%±0.04%; P<0.05) and a high degree of M2 infiltration/polarization (wild type: 10.20%±0.33%, overexpression type: 14.7%±0.12%; P<0.05). Conclusion:GIT1 serves as a prognostic biomarker in HCC, promoting tumor progression through its high expression and enhances M2 macrophage infiltration.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To explore the mediating role of sleep quality on the impact of occupational stress on depressive symptom among secondary industry occupational population. Methods A total of 895 secondary industry workers in Wuxi City were selected as the study subjects using the stratified random sampling method. The Core Occupational Stress Scale (COSS), Patient Health Questionnaire-9 items (PHQ-9) and Self-Filled Sleep Questionnaire (SSQ) were used to investigate their occupational stress, depressive symptom and sleep quality. Depressive symptom, occupational stress and sleep quality were respectively regarded as dependent variable, independent variable and mediating variable. Process program was used to construct a mediation model, and Bootstrap method was used to test its mediating effect. Results The median score and 25th, 75th percentile for occupational stress, depressive symptom and sleep quality was 43.0 (43.0, 48.0), 6.0 (3.0, 8.0) and 3.0 (1.0, 3.0) points. The detection rates of occupational stress, depressive symptom, sleep disorder were 28.7%, 63.0% and 38.8%, respectively. Spearman correlation analysis result showed that occupational stress was positively correlated with both depressive symptom and sleep quality (Spearman correlation coefficients of 0.46 and 0.49, all P<0.01). Bootstrap test result showed that occupational stress had positive effect on both depressive symptom and sleep quality (partial regression coefficients of 0.25 and 0.09, all P<0.01). Sleep quality partially mediated the impact of occupational stress on depressive symptom with the mediation effect value of 0.05 (95% confidence interval of 0.03-0.06), accounting for 20.0% of the total effect. Conclusion Both depression symptom and sleep quality are positively correlated with occupational stress in secondary industry occupational population. Sleep quality of this population partially mediate the impact of occupational stress on depressive symptom.

Background::Bladder cancer, characterized by a high potential of tumor recurrence, has high lifelong monitoring and treatment costs. To date, tumor cells with intrinsic softness have been identified to function as cancer stem cells in several cancer types. Nonetheless, the existence of soft tumor cells in bladder tumors remains elusive. Thus, our study aimed to develop a microbarrier microfluidic chip to efficiently isolate deformable tumor cells from distinct types of bladder cancer cells.Methods::The stiffness of bladder cancer cells was determined by atomic force microscopy (AFM). The modified microfluidic chip was utilized to separate soft cells, and the 3D Matrigel culture system was to maintain the softness of tumor cells. Expression patterns of integrin β8 (ITGB8), protein kinase B (AKT), and mammalian target of rapamycin (mTOR) were determined by Western blotting. Double immunostaining was conducted to examine the interaction between F-actin and tripartite motif containing 59 (TRIM59). The stem-cell-like characteristics of soft cells were explored by colony formation assay and in vivo studies upon xenografted tumor models. Results::Using our newly designed microfluidic approach, we identified a small fraction of soft tumor cells in bladder cancer cells. More importantly, the existence of soft tumor cells was confirmed in clinical human bladder cancer specimens, in which the number of soft tumor cells was associated with tumor relapse. Furthermore, we demonstrated that the biomechanical stimuli arising from 3D Matrigel activated the F-actin/ITGB8/TRIM59/AKT/mTOR/glycolysis pathways to enhance the softness and tumorigenic capacity of tumor cells. Simultaneously, we detected a remarkable up-regulation in ITGB8, TRIM59, and phospho-AKT in clinical bladder recurrent tumors compared with their non-recurrent counterparts.Conclusions::The ITGB8/TRIM59/AKT/mTOR/glycolysis axis plays a crucial role in modulating tumor softness and stemness. Meanwhile, the soft tumor cells become more sensitive to chemotherapy after stiffening, that offers new insights for hampering tumor progression and recurrence.

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

This study aimed to assess the role of prostate-specific antigen density (PSAD) and negative multiparametric magnetic resonance imaging (mpMRI) in predicting prostate cancer for biopsy-naïve men based on a large cohort of the Chinese population. From a prostate biopsy database between March 2017 and July 2021, we retrospectively identified 240 biopsy-naïve patients with negative prebiopsy mpMRI (Prostate Imaging Reporting and Data System version 2 [PI-RADS v2] score <3). Logistic regression analysis was performed to select the potential predictors for clinically significant prostate cancer (csPCa). Receiver operating characteristic (ROC) curve analysis and area under the ROC curve (AUC) were performed to assess the diagnostic accuracy. The negative predictive values of mpMRI in excluding any cancer and csPCa were 83.8% (201/240) and 90.8% (218/240), respectively. ROC curve analysis indicated that PSAD was the most promising predictor, with an AUC value of 0.786 (95% confidence interval [CI]: 0.699-0.874), and multiparametric logistic regression analysis confirmed that higher PSAD remained a significant marker for predicting csPCa (odds ratio [OR]: 10.99, 95% CI: 2.75-44.02, P < 0.001). Combining negative mpMRI and PSAD below 0.20 ng ml^-2 obviously increased the predictive value in excluding PCa (91.0%, 101/111) or csPCa (100.0%, 111/111). If a PSAD below 0.20 ng ml^-2 was set as the criterion to omit biopsy, nearly 46.3% of patients (463 per 1000) with negative mpMRI could safely avoid unnecessary biopsy, with approximately 4.2% of patients (42 per 1000) at risk of missed diagnosis of PCa and no patients with csPCa missed. A PI-RADS v2 score <3 and a PSAD <0.20 ng ml^-2 could be potential criteria for the Chinese population to omit prompt biopsy safely.
Male ; Humans ; Prostatic Neoplasms/pathology* ; Prostate-Specific Antigen ; Multiparametric Magnetic Resonance Imaging ; Magnetic Resonance Imaging/methods* ; Retrospective Studies ; Biopsy ; Image-Guided Biopsy/methods*

This study aims to study the effective substance and mechanism of Ziziphi Spinosae Semen extract in the treatment of insomnia based on serum metabolomics and network pharmacology. The rat insomnia model induced by p-chlorophenylalanine(PCPA) was established. After oral administration of Ziziphi Spinosae Semen extract, the general morphological observation, pentobarbital sodium-induced sleep test, and histopathological evaluation were carried out. The potential biomarkers of the extract in the treatment of insomnia were screened by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS) combined with multivariate analysis, and the related metabolic pathways were further analyzed. The "component-target-pathway" network was constructed by ultra-high performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry(UHPLC-Q-Exactive-MS/MS) combined with network pharmacology to explore the effective substances and mechanism of Ziziphi Spinosae Semen in the treatment of insomnia. The results of pentobarbital sodium-induced sleep test and histopathological evaluation(hematoxylin and eosin staining) showed that Ziziphi Spinosae Semen extract had good theraputic effect on insomnia. A total of 21 endogenous biomarkers of Ziziphi Spinosae Semen extract in the treatment of insomnia were screened out by serum metabolomics, and the metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and nicotinate and nicotinamide metabolism were obtained. A total of 34 chemical constituents were identified by UHPLC-Q-Exactive-MS/MS, including 24 flavonoids, 2 triterpenoid saponins, 4 alkaloids, 2 triterpenoid acids, and 2 fatty acids. The network pharmacological analysis showed that Ziziphi Spinosae Semen mainly acted on target proteins such as dopamine D2 receptor(DRD2), 5-hydroxytryptamine receptor 1 A(HTR1 A), and alpha-2 A adrenergic receptor(ADRA2 A) in the treatment of insomnia. It was closely related to neuroactive ligand-receptor interaction, serotonergic synapse, and calcium signaling pathway. Magnoflorine, N-nornuciferine, caaverine, oleic acid, palmitic acid, coclaurine, betulinic acid, and ceanothic acid in Ziziphi Spinosae Semen may be potential effective compounds in the treatment of insomnia. This study revealed that Ziziphi Spinosae Semen extract treated insomnia through multiple metabolic pathways and the overall correction of metabolic disorder profile in a multi-component, multi-target, and multi-channel manner. Briefly, this study lays a foundation for further research on the mechanism of Ziziphi Spinosae Semen in treating insomnia and provides support for the development of innovative Chinese drugs for the treatment of insomnia.
Animals ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Metabolomics ; Network Pharmacology ; Rats ; Seeds/chemistry* ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Tandem Mass Spectrometry ; Ziziphus/chemistry*