Objective: To investigate the predictive value of EZH2 expression for malignant transformation in oral leukoplakia (OLK) and to provide a reference for clinical practice. Methods: This study was approved by the institutional ethics committee, and informed consent was obtained from all participants. A total of 114 patients diagnosed with OLK by pathological examination and treated at our hospital between November 2020 and July 2022 were initially enrolled. After excluding those with incomplete data or follow-up, 105 participants were included in the final analysis, comprising 14 in the high EZH2 expression group and 91 in the low EZH2 expression group. Histopathological examination of oral mucosa and immunohistochemical detection of EZH2 protein expression were performed. The follow-up period was 30 months; participants were followed until malignant transformation occurred or until the end of follow-up, at which point they were withdrawn from the study. The exposure factor was the level of EZH2 protein expression, and the outcome was the malignant transformation rate of OLK. Differences in EZH2 expression levels and transformation outcomes were analyzed. Results: There were no statistically significant differences between the high and low EZH2 expression groups in terms of age, sex, history of systemic disease, lifestyle habits, psychological status, diet, and sleep conditions (P > 0.05). Lesions in the high EZH2 expression group were mainly located on the ventral tongue, while in the low EZH2 expression group, they were more commonly found on the dorsal tongue and buccal mucosa. The malignant transformation rate was 28.6% (4/14) in the high expression group and 8.8% (8/91) in the low expression group; these differences were not statistically significant (P=0.053). In univariate Cox regression analysis, the risk of malignant transformation in the high EZH2 expression group was 3.647 times that of the low EZH2 expression group (HR = 3.647, 95% CI: 1.097-12.120, P<0.05). Kaplan-Meier survival analysis showed that over the 30-month follow-up period, the cancer-free survival rate in the high EZH2 expression group was 19.8% lower than in the low expression group, and the difference was statistically significant (P<0.05). In multivariate Cox regression analysis, only moderate and severe epithelial dysplasia were identified as independent risk factors for malignant transformation. The risk of malignant transformation in the moderate and severe dysplasia groups was 10.695 and 13.623 times higher, respectively, than in the mild dysplasia group (HR = 10.695, 95% CI: 2.270-50.396, P<0.05; HR=13.623, 95% CI: 1.918-96.774, P<0.05). EZH2 high expression was not an independent risk factor in the multivariate model (HR= 2.528, 95% CI: 0.752-8.500, P = 0.134). Conclusion High EZH2 protein expression is a risk factor for the malignant transformation of OLK but does not have independent predictive value.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Studies have suggested that the nucleus accumbens (NAc) is implicated in the pathophysiology of major depression; however, the regulatory strategy that targets the NAc to achieve an exclusive and outstanding anti-depression benefit has not been elucidated. Here, we identified a specific reduction of cyclic adenosine monophosphate (cAMP) in the subset of dopamine D1 receptor medium spiny neurons (D1-MSNs) in the NAc that promoted stress susceptibility, while the stimulation of cAMP production in NAc D1-MSNs efficiently rescued depression-like behaviors. Ketamine treatment enhanced cAMP both in D1-MSNs and dopamine D2 receptor medium spiny neurons (D2-MSNs) of depressed mice, however, the rapid antidepressant effect of ketamine solely depended on elevating cAMP in NAc D1-MSNs. We discovered that a higher dose of crocin markedly increased cAMP in the NAc and consistently relieved depression 24 h after oral administration, but not a lower dose. The fast onset property of crocin was verified through multicenter studies. Moreover, crocin specifically targeted at D1-MSN cAMP signaling in the NAc to relieve depression and had no effect on D2-MSN. These findings characterize a new strategy to achieve an exclusive and outstanding anti-depression benefit by elevating cAMP in D1-MSNs in the NAc, and provide a potential rapid antidepressant drug candidate, crocin.

Objective To evaluate the application value of simultaneous amplification and testing for Myco-bacterium tuberculosis(SAT-TB)in evaluating the curative effect of initial treatment of smear-positive pul-monary tuberculosis patients.Methods A total of 62 newly treated smear positive pulmonary tuberculosis pa-tients from June 2022 to June 2023 in Guangzhou Panyu District Chronic Disease Control Station were selected as the study objects,and the curative effect was evaluated by liquid-based sandwich cup method,Roche culture method and SAT-TB detection method.All patients received the standard anti-tuberculosis treatment regimen of 2HRZE/4HR standard regimen,and sputum samples were detected by liquid-based sandwich cup method,Roche culture method,and SAT-TB detection method at the 2nd,4th,and 8th week of treatment,respectively.Results Among 62 patients,54 cases were positive and 8 cases were negative using Roche culture method,47 cases were positive and 15 cases were negative using SAT-TB detection method.60 cases were positive and 2 cases were negative by Mycobacterium tuberculosis(MTB)-DNA test.The positive rates of the three methods were 87.10％(54/62),75.81％(47/62)and 96.77％(60/62),respectively.Taking Roche culture method re-sults as the standard,the sensitivity of SAT-TB detection method and MTB-DNA was 97.87％(46/47)and 90.00％(54/60),and the specificity was 46.67％(7/15)and 100.00％(2/2),respectively.There were signifi-cant differences between Roche culture method and SAT-TB detection method and MTB-DNA test(x2=20.070,P＜0.05,x2=13.985,P＜0.05),the difference between the results of SAT-TB detection method and MTB-DNA test was also statistically significant(x2=8.365,P＜0.05).The negative conversion rates of MTB in sputum samples were 69.35％(43/62),29.03％(18/62)and 41.94％(26/62)at the 2nd,4 th,and 8 th weeks,respectively.77.42％(48/62),59.68％(37/62),58.06％(36/62),82.26％(51/62),79.03％(49/62),75.81％(47/62).There were significant differences in the negative conversion rates of MTB in sputum sam-ples between SAT-TB and liquid-based sandwich cup method at the 2nd and 4th weeks(x2=8.365,P＜0.05,x2=4.465,P＜0.05),while there was no significant difference between the results of Roche culture method at the 2nd,4th and 8th weeks(x2=1.726,P＞0.05,x2=0.000,P＞0.05,x2=0.046,P＞0.05).Conclusion The use of SAT-TB detection method in clinical practice to evaluate the efficacy of smear positive pulmonary tuberculo-sis patients could accurately and quickly assess the negative conversion rate and treatment effect of patients,and provide a reliable basis for guiding clinical treatment.It could be considered as an effective auxiliary diag-nosis and evaluation method of curative effect,worthy of promotion and practical application.

Objective To explore the regulatory effect of miR-6838-5p on DDR1 gene expression and proliferation of breast cancer cells.Methods The expression levels of miR-6838-5p in normal breast epithelial cells and breast cancer cells were detected using qRT-PCR,and the potential target genes of miR-6838-5p was predicted using TargetscanV 8.0.Double luciferase reporter gene experiment was performed to verify the binding between miR-6838-5p and DDR1.Breast cancer MCF-7 cells were transfected via liposome,miR-6838-5p mimic,miR-6838-5p inhibitor,DDR1 siRNA,DDR1-overexpresisng vector,or both miR-6838-5p mimic and DDR1-overexpressing vector,and the changes in cell proliferation were examined with CCK-8 and EdU assays;Western blotting was used to detect the expression of DDR1.The mediating role of DDR1 in miR-6838-5p overexpression-induced inhibition of MCF-7 cell proliferation was verified in a nude mouse model bearing MCF-7 cell xenografts.Results The expression of miR-6838-5p was significantly lower in breast cancer cells than in normal breast epithelial cells.In MCF-7 cells,miR-6838-5p overexpression induced significant inhibition of cell proliferation.Dual luciferase reporter gene experiment demonstrated a binding relationship between miR-6838-5p and DDR1(P<0.01).Western blotting showed that miR-6838-5p overexpression significantly lowered DDR1 expression in MCF-7 cells,and DDR1 overexpression promoted proliferation of the cells;co-transfection of the cells with DDR1-overexpressing vector significantly attenuated the inhibitory effect of miR-6838-5p mimic on cell proliferation.In the tumor-bearing nude mice,the xenografts overexpressing miR-6838-5p showed a significantly smaller volum with obviously the expression of DDR1.Conclusion Overexpression of miR-6838-5p inhibits breast cancer cell proliferation by regulating DDR1 expression.

Background and purpose:Tumor-associated macrophages(TAM)as the main stromal cells in the tumor microenvironment play an important role in tumor progression.This study aimed to explore the clinical significance of M1 type TAM infiltration in hepatocellular carcinoma(HCC).Methods:We collected tissue paraffin samples from 320 HCC patients who underwent surgery at the Affiliated Nantong Hospital Three of Nantong University from January 2012 to December 2020.Immunohistochemical methods were used to detect the distribution of CD86 labeled M1 type TAM in HCC tissues,and positive cell density was calculated.Groups were established according to cell density,high-density group had cells with greater than average density(29 cells/mm2),and low-density group had cells with less than or equal to average density.The correlation and prognostic significance of M1 TAM density with clinicopathologic features and tumor infiltrating CD8+T lymphocytes of HCC were analyzed.Using immunohistochemistry to detect the expression of programmed death ligand-1(PD-L1),the cases were divided into four groups based on the cell density of CD86 and PD-L1.In the CD86+high-density group,PD-L1 high-density(CD86highPD-L1high)and PD-L1 low-density(CD86highPD-L1low)groups were included.In the CD86+low-density group,the PD-L1 high-density(CD86lowPD-L1high)and PD-L1 low-density(CD86lowPD-L1low)groups were included.We analyzed the prognostic significance of CD86+M1 type TAM density combined with PD-L1 expression.This study was approved by the Ethics Committee of Affiliated Nantong Hospital Three of Nantong University(ethics number:EK2022005).Results:CD86+M1 type TAM was mainly distributed in the tumor stroma.Its high-density rate was 44.7%(143/320).The density of CD86+M1 type TAM was positively correlated with tumor infiltrating CD8+T lymphocyte density(P＜0.001)and negatively correlated with hepatitis B virus surface antigen(HBsAg)positivity(P=0.003),and had no significant correlation with clinical and pathological features such as patient age,gender,cirrhosis,tumor size,histological grading and microvascular invasion.The CD86+M1 type TAM high-density group had better overall survival(OS)and disease-free survival(DFS)than the low-density group,and the differences were statistically significant(all P＜0.001).Multivariate Cox proportional hazards regression model analysis showed that low-density CD86+M1 type TAM was an independent risk factor for evaluating OS and DFS(OS:HR=1.468,P=0.022;DFS:HR=2.233,P＜0.001).The CD86highPD-L1high group had poor OS and DFS than the CD86highPD-L1low group,and the differences were statistically significant(both P＜0.05).The CD86lowPD-L1high group had poor OS and DFS than the CD86lowPD-L1low group.The difference in OS between the two groups was statistically significant(P＜0.05),while the difference in DFS was not statistically significant.Conclusion:The presence of high-density CD86+M1 type TAM in HCC tissue suggests a good prognosis and is an independent prognostic factor.Expression of PD-L1 in HCC tissue suggests increased invasiveness and poorer prognosis.

Objective To construct and validate a clinical prediction model for delayed extubation undergoing non-emergency major surgery based on the random forest algorithm.Methods Clinical data of 7 528 patients undergoing non-emergency major surgery under general anesthesia from January 2018 to De-cember 2022 were retrospectively collected.The patients were divided into two groups according to whether extubation was performed within 2 hours after surgery:non-delayed extubation group(≤2 hours)and de-layed extubation group(＞2 hours).All the patients were randomly divided into a training set and a valida-tion set in a ratio of 7 ∶ 3.The predictive factors for delayed extubation after surgery were screened through LASSO regression and Logistic regression.The random forest model was established and verified by random forest algorithm.Results There were 123 patients(1.6%)experienced delayed extubation after surgery.ASA physical status,department,intraoperative use of flurbiprofen ester,dexmedetomidine,glucocorticoid,hypocalcemia,severe anemia,intraoperative blood transfusion,and airway spasm were identified as inde-pendent predictive factors for delayed extubation.The area under curve(AUC)value of the random forest prediction model in the validation set was0.751(95%CI0.742-0.778),and the sensitivity was98.1%,and the specificity was 41.9%.Conclusion The predictive model of delayed extubation undergoing non-e-mergency major surgery based on random forest algorithm has a good predictive value,which may be helpful to prevent delayed extubation undergoing non-emergency major surgery.

BackgroundPostoperative cognitive dysfunction （POCD） is a common complication in elderly patients after surgery， and has a great impact on postoperative rehabilitation of patients. ObjectiveTo explore the effect of mindfulness-based therapy on cognitive function and sleep quality in elderly patients after surgery under local anesthesia， so as to provide references for reducing their incidence risk of POCD and improving sleep quality. MethodsThe simple random sampling method was utilized to select 78 elderly patients who underwent surgery under local anesthesia in The Third Hospital of Mianyang from March 2022 to March 2023. Participants were assigned into study group and control group， each with 39 cases. All patients were subjected to conventional treatment and nursing interventions， and study group added mindfulness-based therapy on this basis. Mini-Mental State Examination （MMSE） was administered to patients on 1 day before surgery， and on the 1^st， 3^rd and 5^th day after surgery. Pittsburgh Sleep Quality Index （PSQI） was employed on 1 day before surgery and on the 3^rd day after surgery. ResultsMMSE scores revealed a significant time effect， group effect and time×group interaction effect （F=78.251， 197.071， 371.915， P<0.05）. Analysis of simple effect denoted that study group scored higher on MMSE on the 1^st， 3^rd and 5^th day after surgery compared with control group， with statistical significance （t=-3.579， -1.764， -0.253， P<0.05）. Study group reported lower incidence rates of POCD on the 1^st， 3^rd and 5^th day after surgery compared with control group， with statistical significance （χ²=2.631， 3.471， 5.135， P<0.05）. On the 3^rd day after surgery，study group scored lower on PSQI than control group（P<0.05）， and PSQI total score， sleep latency， subjective sleep quality， daytime dysfunction and hypnotic drug use factor scores of study group were lower than baseline， with statistical significance（F=43.175， 12.594， 11.092， 4.579， 3.514， P<0.01）. ConclusionMindfulness-based therapy may have certain value in reducing incidence of POCD and improving sleep quality in elderly patients who underwent surgery under local anesthesia.

Purpose To investigate the effect of shortening the acquisition time of 18F-D6-AV133 PET/CT on image quality and diagnostic efficacy in Parkinson's disease.Materials and Methods A total of 51 participants(27 of Parkinson's disease,24 of healthy-controls)from the First Affiliated Hospital of Guangzhou Medical University from October 2021 to June 2022 were retrospectively selected.Images were obtained after the injection of the tracer 18F-D6-AV133(371.04±16.30)MBq for 60 min,with collection times of 10 min.Four sets of images were reconstructed using CT attenuation correction with acquisition times of 3,5,7 and 10 min.Semi-quantitative analysis was performed on the PET images,calculating the striatum-to-occipital lobe standardized uptake value ratio(SUVR).Two physicians independently conducted qualitative evaluations for each image group.The differences of SUVR and visual score results among four sets of images were performed.The optimal critical value of SUVR was obtained by analyzing the receiver operating characteristic curve of the subjects.Results The visual analysis of image quality had a strong consistency between the two doctors(ICC=0.853,P<0.001).The images with acquisition time of 5 min could reach the common quality level in clinical work,accounting for 78.4%(40/51).The semi-quantitative results of image quality showed that there was no significant difference between SUVR and diagnostic efficiency obtained by acquisition time 5 min and 10 min(Z=1.821,P=0.069),and the best critical value of the two groups was equal to 3.Therefore,properly shortening the acquisition time had no effect on the diagnosis of Parkinson's disease.Conclusion With the development and advancement of technical equipment,PET image quality is gradually improving and the scanning time is also gradually shortening.The acquisition time for 18F-D6-AV133 can be shortened from the conventional 10 min to 5 min.

Objective:To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs.Methods:Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing.Results:An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the "yellow module" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes ( CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC +cells in CRS. Conclusion:This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.