Objective To analyze the trend of global cellulitis disease burden from 1990 to 2019, and to provide a theoretical basis for the prevention and control of cellulitis disease. Methods The Global Burden of Disease 2021 (GBD2021) data were collected, and data on the incidence, mortality, and disability-adjusted life year (DALY) of cellulitis were analyzed for each country worldwide. The estimated annual percentage change (EAPC) and age-standardized rate (ASR) were used to estimate the trend change of cellulitis from 1990 to 2021. Results The global burden of cellulitis increased significantly in 2021, with 55.96 million cases, 28.9 million deaths and 876.1 million DALYs, respectively. Incidence and mortality rates were generally higher in males than in females. The incidence and DALYs were higher in high SDI regions, with the highest burden observed in South Asia. In contrast, East Asia exhibited the lowest burden and demonstrated a declining trend. There were significant differences between countries, with India having the highest prevalence, the United States having the highest incidence, and Bahrain having the fastest growing rate.In 2021, China had the lowest age-standardised incidence of cellulitis in the world and the fastest declining age-standardised incidence and age-standardised DALYs. Conclusion The global disease burden of cellulitis is increasing from 1990-2021, and cellulitis remains an an important global public health problem. Targeted preventive meausres should be taken in areas with different economical levels. Men, middle-aged and elderly people, and newborns are the key groups in need of attention and health education.

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

OBJECTIVES: To investigate the protective mechanism of quercetin, the core component of Zuo Gui Wan, against Alzheimer's disease through the PI3K/AKT signaling pathway, based on network pharmacology, molecular docking, and cell experi-ments. METHODS: The active components of Zuo Gui Wan were identified by searching TCMSP, PubChem, Swiss Target Prediction, and BATMAN-TCM databases, and their potential targets were predicted. The target information was standardized using Uniprot, and Alzheimer's disease-related target genes were obtained from Drugbank, GeneCards, and OMIM. The intersection of these datasets was used to identify the potential targets of Zuo Gui Wan for treating Alzheimer's disease. Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. The protein-protein interaction (PPI) network of potential targets was visualized using Cytoscape 3.10.1 software and the STRING database. The key active compounds and core potential targets for treating Alzheimer's disease with Zuo Gui Wan were identified through calculation. Based on the enrichment analysis results and literature, quercetin and the PI3K/AKT pathway were selected for verification. Molecular docking and binding ability prediction between quercetin and the core target AKT were performed using CB-Dock2, and visualization was conducted with AutoDock and PyMOL software. Finally, Aβ_1-42-induced HT-22 mouse hippocampal neuronal cells were used to construct an Alzheimer's disease cell model. Quercetin, the PI3K inhibitor LY294002, and the activator EGF were used as interventions. The groups were divided as follows: Control, Aβ_1-42, Aβ_1-42+Quercetin 2.5 μM, Aβ_1-42+Quercetin 5 μM, Aβ_1-42+Quercetin 10 μM, Aβ_1-42+EGF, and the PI3K/AKT modulation group: Control, LY294002, LY294002+Quercetin 10 μM, LY294002+EGF. CCK-8 assays were performed to detect cell viability, while JC-1, Calcein AM-PI, and Hoechst staining were used to assess cell apoptosis. Western blotting was employed to detect the expression of relevant target proteins. RESULTS: Network pharmacology and cell experiments collectively demonstrate that the key active ingredient of Zuo Gui Wan, quercetin, targets core proteins such as AKT1 and GSK3β through a network-based approach, significantly enriching the PI3K/AKT pathway. Molecular docking results indicate that quercetin has a strong binding affinity with AKT. Experimental validation in the Aβ_1-42 oligomer-induced HT-22 model reveals that quercetin significantly activates the PI3K/AKT signaling pathway, which is inhibited by Aβ_1-42 oligomers, as well as Bcl-2 protein expression. It also suppresses the expression of Cleaved Caspase 3/Caspase 3, BAX, and Cytochrome C proteins. JC-1, Hoechst 33342, and Calcein AM-PI staining results further show that quercetin can significantly alleviate apoptosis induced by Aβ_1-42 oligomers in HT-22 cells. Treatment with the PI3K inhibitor LY294002 in HT-22 cells leads to reduced cell viability and decreased expression of p-AKT/AKT and Bcl-2 proteins, while increasing the expression of Cleaved Caspase 3/Caspase 3, BAX, and Cytochrome C proteins. Additionally, apoptosis levels increase as observed in JC-1, Hoechst 33342, and Calcein AM-PI staining, all of which can be reversed by quercetin and the PI3K agonist EGF. CONCLUSIONS Quercetin, the key active ingredient of Zuo Gui Wan, exerts its protective effects against Alzheimer's disease by regulating the PI3K/AKT signaling pathway, inhibiting neuronal cell damage and apoptosis.

Colorectal cancer (CRC) poses a severe global health challenge with high incidence and mortality rates. USP37 has been identified as the bona fide deubiquitinase of SND1, playing a critical role in stabilizing SND1, thereby augmenting its oncogenic potential. The interaction between USP37 and SND1 was confirmed through extensive proteomics, ubiquitinomics, and interactomics, underscoring their synergistic effects on CRC proliferation and metastasis. Additionally, CDK1 has emerged as a pivotal regulator of USP37, phosphorylating it at threonine 631 rather than serine 628, enhancing its deubiquitinase activity, and consequently stabilizing SND1 to drive CRC malignancy further. Histological analyses of human CRC samples linked the upregulation of CDK1 and USP37 with increased SND1 levels and poor patient prognosis. High-throughput virtual screening and subsequent experimental validation identified Dacarbazine as a pharmacological inhibitor of USP37, and its inhibition disrupted SND1 stability, hindering CRC cell proliferation and metastasis. This study reveals a novel and promising molecular mechanism driving CRC progression through the CDK1-USP37-SND1 axis, highlighting the clinical importance of targeting this pathway to improve patient outcomes.

Objective:To establish contact dermatitis pruritus model and detect itch,anxiety and depression-like behaviors.To observe the activation of the medial prefrontal cortex(mPFC)neurons and provide morphological evi-dence for its involvement in the regulation of itch perception information.Methods:A model of contact dermatitis pruri-tus was constructed with diphenylcyclopyrenone(DCP)applied on the neck and back of the mouse,and the itch per-ception video tracking system was used to detect the scratching behavior.Open field and suspended tail behavioral ex-periments were conducted to explore the anxiety and depression-like behaviors of mice under contact dermatitis.The dis-tribution of c-Fos and p-ERK1/2 positive cells in the mPFC of contact dermatitis model mice was investigated by immu-nofluorescence staining.Results:The contact dermatitis pruritus model was successfully established,and the bouts of scratching in the contact dermatitis model group was significantly higher than that in the control group(P＜0.05).The results of open field test showed that the time and distances were significantly reduced in the central area of the contact dermatitis model group.The results of the tail suspension experiment suggested that the time of immobility increased sig-nificantly in the contact dermatitis model group(P＜0.05).There were more c-Fos positive and p-ERK1/2 positive cells in the mPFC compared with the control group(P＜0.05).Conclusion:Bouts of scratching were increased in the contact dermatitis group and the mice had anxiety and depression-like behaviors.In the contact dermatitis state,mPFC neurons were activated,providing morphological evidence for the involvement of mPFC neurons in contact dermatitis pruritus and accompanying affective disorders such as anxiety and depression.

The microbiome plays a role in the development of lower urinary tract diseases, but the impact of viruses on these conditions remains unclear. In recent years, research has emerged demonstrating a potential link between viruses and lower urinary tract diseases, including bladder cancer, prostate cancer, and overactive bladder. In this paper, the research of the correlation between viruses and lower urinary tract diseases and the related mechanisms were reviewed.

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 mouse BaF3-FIP1L1-PDGFRA(F/P),BaF3-F/P-T674I and BAF3-F/P-D842V pre-B cell strains which stably express F/P fusion protein and its T674I and D842V mutants in order to e-valuate their activity by checking their responses to tyrosine kinase inhibitors(TKIs).Methods Lentivirus infected technique was used to transfect the target gene into BaF3 cells.RT-qPCR was used to detect mRNA expression,and CCK-8 method was used to detect the inhibitory effect of TKIs on the proliferation of stable cell strains.Results The constructed BaF3-F/P,BaF3-F/P-T674I and BAF3-F/P-D842V cell strains all transcripted FIP1L1 and PDGFRA mRNA.They exhibited malignant phenotypic characteristics of proliferation independent of IL-3 and sen-sitivity to corresponding TKIs.Conclusions The pre-B-cell strains stably expressing F/P and its T674I and D842V mutants are successfully constructed,which provide a good cell model for the development of compounds targeting at those molecules.

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.

ObjectiveTo explore the relationships between internet gaming disorder (IGD), interpersonal needs, loneliness, and depression in adolescents through the construction of a chain mediation model, to clarify the underlying mechanisms of these associations, and to provid a theoretical basis for depression prevention and intervention. MethodsBased on the data of the 7th Population Census, using convenient sampling method 1 106 adolescents aged between 10‒19 years in South China (176), North China (147), Central China (332), and East China (451) were selected to conduct a cross-sectional survey, with a ratio of 1∶1∶1.5∶2.5. The survey was conducted with a questionnaire consisting of general information (sex, age, grade, parents’ education level), the Chinese version of the IGDS9-SF, the INQ-15, the short-form of the ULS-8 and the PHQ-9 were used to evaluate the depression status of adolescents. Spearman correlation analysis was used to explore the correlation between the variables. A multiple-mediator model was constructed using IBM SPSS Statistics 22.0 PROCESS to examine the mediating effects of interpersonal needs and loneliness on the relationship between IGD and depression. The significance of the chain mediating effect was tested using the Bootstrap method. ResultsOverall, 39.06% (432/1 106) adolescents experienced depression. The incidence of depression among adolescents with smoking and without smoking was 62.50% and 38.36%, respectively. Similarly, the incidence of depression among adolescents with alcohol consuming and without alcohol consuming was 61.94% and 35.94%, respectively. There were statistically significant differences between IGD, interpersonal needs, loneliness, and depression (P<0.01). The chain mediation model demonstrated a good fit, and the bootstrap test showed that the 95%CI of each mediation path did not include 0, indicating significant mediation effects. The overall effect was 0.337. The direct effect of IGD on depression was significant (effect value=0.138, 95%CI:0.102-0.173, P<0.001). The mediation effects included three paths: ① IGD →interpersonal needs → depression (effect value=0.073, P<0.05), accounting for 21.47% of the total effect;② IGD→ loneliness → depression (effect value=0.093, P<0.05), accounting for 27.35%; and ③ IGD → interpersonal needs → loneliness → depression (effect value=0.036, P<0.05), accounting for 10.59%. ConclusionInterpersonal needs and loneliness independently and jointly mediate the relationship between IGD and depression among adolescents. To reduce depression and improve mental health in this population, measures should be taken to prevent and intervene in IGD, address adolescents’ social and emotional needs, enhance satisfaction of interpersonal needs, and reduce loneliness.