ObjectiveTo investigate the heterogeneity and transcriptomic characteristics of T-cell subsets in the liver of mice with nonalcoholic steatohepatitis （NASH） at the single-cell level using single-cell RNA sequencing （scRNA-seq）， and to provide a reference for studying the mechanism of action of T cells in NASH. MethodsSix male C57BL/6 mice were randomly divided into control group fed with regular diet and NASH group fed with methionine-choline-deficient （MCD） diet， with three mice in each group， and liver tissue was collected for scRNA-seq after 6 weeks of modeling. Specific differentially expressed genes were analyzed between T-cell subsets， and related analyses were performed， including dimension clustering， cell type annotation， t-distributed stochastic neighbor embedding （t-SNE）， violin plot， gene ontology （GO） functional enrichment analysis， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis. Immunofluorescent staining was used to observe the expression of the T cell marker Tcrα and the specific marker genes Tcf7 and Cxcr6 in the liver of mice in the two groups. The independent-samples t test was used for comparison of continuous data between two groups. ResultsTwo T cell subsets were identified in the liver of mice， and the percentage of cluster 6 decreased from 58.5% in the control group to 48.7% in the NASH group. The top four specific genes were Nsg2， Cd8b1， Cd8a， and Tcf7. Tcf7， a characteristic marker gene for cluster 6， was expressed in 65% of cells in cluster 6， and therefore， cluster 6 was defined as Tcf7⁺ T cells. The GO and KEGG enrichment analyses showed that the differentially expressed genes of cluster 6 were involved in T cell activation， leukocyte adhesion， binding ubiquitin-like protein ligase， and the signaling pathways for Th17， Th1， and Th2 cell differentiation. The percentage of cluster 7 increased from 41.5% in the control group to 51.3% in the NASH group. The top four specific genes of cluster 7 were Cd40lg， Tcrg-C1， Il2rα， and Cxcr6. Cxcr6 was expressed in 90% of cells in cluster 7， and therefore， cluster 7 was defined as Cxcr6⁺ T cells. The GO and KEGG enrichment analyses showed that cluster 7 was involved in T cell activation， cytokine production， the T cell receptor signaling pathway， and the Th17 cell differentiation and MAPK signaling pathway. Immunofluorescence assay showed that compared with the control group， the NASH group showed a significant reduction in the area with positive co-expression of Tcf7 protein and Tcrα protein （1.80%±0.67% vs 0.33%±0.13%， P<0.05） and a significant increase in the area with positive co-expression of Cxcr6 protein and Tcrα protein （0.50%±0.09% vs 2.66%± 0.33%， P<0.001）. ConclusionThere is a reduction in the percentage of Tcf7⁺ T cells and an increase in the percentage of Cxcr6⁺ T cells in NASH mice， revealing the characteristics and differences of T cells in the liver of NASH mice.

Acute myeloid leukemia (AML) is a highly heterogeneous hematological malignancy characterized by an abnormal proliferation of primitive and naive myeloid cells in the bone marrow and peripheral blood. Patients vary enormously in molecular biological features, clinical manifestations and prognosis, leading to therapeutic difficulties. Increasing evidence indicates that the tumor microenvironment plays an important role in the development and progression of AML. Immunometabolism reveals the metabolic network of immune cells, which has important implications in tumor research. This work reviews the research progress on the metabolic alterations of immune cells in the AML microenvironment and the therapeutic strategies targeting immune metabolism in AML to present a part of the blueprint of immune metabolism regulation in the bone marrow microenvironment of AML.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

Objective In clinical follow-up studies,it is the most common method to quantify treatment differences between groups using a hazard ratio(HR).Moreover,restricted mean survival time(RMST)has attracted more and more attention.However,the current statistical inference method based on RMST is mainly used for the comparison between two groups.Methods In this paper,three RMST tests between multiple groups are proposed,including naive,logarithmic transformation and complementary logarithmic transformation.Monte Carlo simulations were performed to evaluate the type I error and power,and a case study was performed.Results Based on the type I errors obtained by Monte Carlo simulation and the test performance results,it is shown that the proposed RMST test can deal with the problem of multiple sets of comparisons,especially the complementary logarithmic transformation method is the most robust.Conclusions For the multi-group comparison of survival data,if the time scale index is considered,the RMST multi-group test by the complementary logarithmic transformation method is recommended.

Objectives:To analyze the clinical prognosis stratification of fetal heart disease(FHD)and the mid-term follow-up results following integrated prenatal and postnatal management. Methods:Present retrospective analysis was performed on 817 fetuses diagnosed with FHD by fetal echocardiography in Fuwai Hospital,Chinese Academy of Medical Sciences(Fuwai Hospital)from the 8th February 2018 to 30th April 2022.According to the Chinese expert consensus on fetal prognosis score of congenital heart disease(CHD)and Fuwai Hospital Pediatric Center score,FHD was divided into grade Ⅰ(0 point),grade Ⅱ(1-3 points),grade Ⅲ(4-6 points)and grade Ⅳ(7-9 points).For FHD fetuses that need to be treated in the neonatal period,the whole closed-loop management and treatment were completed,including pregnancy,birth,neonatal monitoring,surgery,and follow-up.The clinical data and mid-term follow-up results of FHD fetuses were analyzed. Results:A total of 752 fetuses completed the mid-term follow-up.The mean follow-up time was(18.5±2.3)months.There were 111 cases(14.8%)of FHD grade Ⅰ,251 cases(33.4%)of FHD grade Ⅱ,275 cases(33.6%)of FHD grade Ⅲ and 115 cases(15.3%)of FHD grade Ⅳ.There were 393 cases(52.2%)of fetal preservation,1 case(0.2%)of intrauterine death,and 358 cases(47.6%)of induced abortion.Compared with the induced fetus,the pregnant women in the reserved fetus group were older,the gestational age was longer,the rate of receiving noninvasive DNA and amniocentesis was lower,the proportion of chromosomal abnormalities or genetic abnormalities was smaller,and the FHD prognostic score was lower(all P<0.05).One case(0.9%)of FHD grade Ⅰ fetus experienced intrauterine fetal death,and 110 cases(99.1%)were born and recovered.164 cases(65.3%)of grade Ⅱ fetuses were born,and all of them were cured by surgery or spontaneously.118 cases(42.9%)of grade Ⅲ fetuses were born,117 cases completed biventricular radical operation,and 1 case completed two-stage operation waiting for the second stage biventricular radical operation.One case(0.9%)of grade Ⅳ was born and completed the two-stage bidirectional Glenn procedure.Among the induced FHD grade Ⅱ fetuses,8(9.2%)had abnormal chromosomal or genetic testing results,and 8(9.2%)had other organ abnormalities.Among the induced FHD grade Ⅲ fetuses,5 cases(3.2%)had chromosomal abnormalities,5 cases(3.2%)had genetic abnormalities,and 9 cases(5.7%)had other organ abnormalities.There was only one case(0.9%)of FHD Ⅳ with hypoplastic left heart syndrome,which was retained as one of the twins and was born successfully.Norwood one-stage procedure was performed in the neonatal period,and two-stage bidirectional Greene procedure was performed at 6 months after birth.Other fetuses were induced following the choice of maternity and their family members. Conclusions:Hierarchical management based on clinical prognosis is helpful to scientifically guide the integrated treatment of FHD fetuses and improve the success rate of treatment of FHD fetuses with good prognosis.

Objectives:To summarize the experience of echocardiographic diagnosis and the short-term post-operative outcome of children with cardiac tumors. Methods:A total of 27 infants and children,who underwent echocardiography examination and were preliminarily diagnosed with cardiac tumors in Fuwai Hospital from January 2018 to June 2023,were retrospectively included in this study.Clinical symptoms,echocardiographic results,surgical and perioperative results and early outcomes were analyzed. Results:Among the 27 patients,16 were males.The age ranged from 1 month to 11 years(mean age:[3.2±2.5]years)and the body weight ranged from 5.7 to 40.0 kg(mean body weight:[17.2±11.2]kg).Cardiac tumors were pathologically confirmed in 25 cases,including 14 cases of fibroma,5 cases of rhabdomyoma,3 cases of myxoma,2 cases of lipoma,1 case of hemangioma.Preoperative echocardiographic diagnosis was consistent with postoperative pathologic diagnosis in 14 cases.Nontumor lesions were misdiagnosed as tumors by echocardiography in 2 cases.All the patients underwent surgery,complications occurred in 2 cases early post surgery and underwent reoperations and recovered well.There were no deaths during a median follow-up of 29.8(6.5,72.0)months,recurrence occurred in one child with myxoma. Conclusions:Pediatric patients with cardiac tumors have specific echocardiographic manifestations.It is necessary to sum up related experience constantly to improve the diagnostic accuracy.Short-term outcome post-surgery is satisfactory for the treatment of benign pediatric cardiac tumors.

Objective:To evaluate the effect of buccal acupuncture on analgesia after tonsilloadenoidectomy in pediatric patients.Methods:This was a randomized controlled study. One hundred and twenty-six American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ pediatric patients, aged 3-12 yr, weighing 12-34 kg, with body mass index <30 kg/m 2, undergoing elective tonsilloadenoidectomy with general anesthesia, were divided into 2 groups ( n=63 each) by the random number table method: buccal acupuncture group (group B) and control group (group C). All pediatric patients received the same anesthesia induction and intraoperative anesthesia maintenance. The concentration of sevoflurane was adjusted to keep the fluctuation amplitude of vital sign parameters within 20% of the baseline value. After surgery, the drug was immediately stopped and the children were transferred to the postanesthesia care unit for resuscitation under general anesthesia. In group B, the bilateral neck points, upper neck points, hologram points on the head and Zhongjiao points were selected before removal of the tracheal catheter, and disposable acupuncture needles were inserted directly into the acupoints and remained for 20-30 min. Group C received no buccal acupuncture. The pain Assessment Scale (FLACC) was used to assess the severity of postoperative pain. The postoperative agitation score was evaluated by Aono four-point rating method to evaluate the occurrence of agitation. The effective pressing times of patient-controlled analgesia, rescue analgesia and occurrence of nausea and vomiting within 48 h after operation were recorded. The occurrence of bleeding, infection and broken needle at acupuncture sites was recorded. Results:Compared with group C, the effective pressing times of patient-controlled analgesia and incidence of nausea and vomiting were significantly decreased in group B ( P<0.05). There was no significant difference in the rate of rescue analgesia and incidence of postoperative agitation between the two groups ( P>0.05). No infection or broken needle was found at acupuncture sites after buccal acupuncture, only 2 cases had slight bleeding at the puncture site, and there was no abnormality after pressing in group B. Conclusions:Buccal acupuncture can enhance the analgesic effect after tonsilloadenoidectomy in pediatric patients.

Objective:To construct preeclampsia (PE) prediction models using information from the hospital electronic medical information and clinical laboratory data through logistic regression (LR) and machine learning algorithms, and to compare their predictive performance.Methods:The study was conducted based on the information from Rouji Pregnancy Test Database and the perinatal data of women who visited the Third Affiliated Hospital of Guangzhou Medical University from January 1, 2012, to December 31, 2019. Drawing upon clinical treatment guidelines and related literature, 28 clinical indicators from 2 736 pregnant women at 24 to 28 weeks of gestation were selected after a thorough integration and used for the construction of the PE prediction model dataset. Patients diagnosed with PE comprised the PE group ( n=245), while another 255 cases from the rest who did not have PE were selected, with undersampling method, as the control group. The Random Forest algorithm (RF), eXtreme Gradient Boosting (XGB) algorithm, and LR model were each employed to develop predictive models for PE. Following the construction of the models, external validation of PE prediction accuracy was carried out using data acquired from an independent prospective cohort study on PE that was conducted from June 2019 to December 2022, in which 38 PE cases and 80 controls were chosen. The performance of predictive models were evaluated using metrics such as accuracy, sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic. Results:Indicators included in the construction of the three predictive models suggested that uric acid, creatinine, maternal age, early pregnancy body mass index, urea, triglycerides, red blood cell count, eosinophil count, total cholesterol, neutrophil count, urine protein, alanine aminotransferase, and urine occult blood were influential in PE prediction models. The AUCs for RF, XGB, and LR models in the training and test sets were 0.851 (95% CI:0.730-0.891), 0.955 (95% CI:0.865-0.987), 0.884 (95% CI:0.767-0.923) vs. 0.845 (95% CI:0.723-0.868), 0.907 (95% CI:0.791-0.919), 0.851 (95% CI:0.755-0.893), respectively. In the test set, the accuracy, sensitivity, and specificity for RF, XGB, and LR models were 0.803, 0.607, 0.958, 0.864, 0.790, 0.927, and 0.832, 0.661, 0.971, respectively. In the external validation of the RF, XGB and LR predictive models, the accuracy were 0.822, 0.814, and 0.763; the sensitivity were 0.737, 0.789, and 0.605, and the specificity were 0.863, 0.825, and 0.838, respectively. Among them, XGB model showed the highest Youden's index (0.614). Conclusion:Compared to traditional methods of model construction, machine learning algorithms can establish more effective PE prediction models using real clinical data.

Objective:To investigate the application value of antegrade splenic superior region dissection first in laparoscopic total gastrectomy of obesity gastric cancer.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 21 obesity patients with gastric cancer who underwent laparoscopic total gastrectomy in Renji Hospital of Shanghai Jiaotong University School of Medicine from July 2018 to October 2023 were collected. There were 16 males and 5 females, aged (58±13)years. All 21 patients underwent laparoscopic total gastrec-tomy with antegrade splenic superior region dissection first. Observation indicators: operation time, volume of intraoperative blood loss, laparotomy conversion, intraoperative splenic hemorrhage or gastric hemorrhage, lymph node dissection, time to postoperative first flatus, time to postoperative initial liquid food intake, duration of postoperative hospital stay, postoperative complication. Measure-ment data with normal distribution were represented as Mean± SD, and count data were expressed as absolute numbers. Results:All 21 patients underwent laparoscopic total gastrectomy success-fully, with the operation time of (283±47)minutes, time for splenogastric ligament and vascular manage-ment of (34±12)minutes, volume of intraoperative blood loss of (143±86)mL, and no laparotomy conversion. There was no intraoperative splenic hemorrhage or gastric haemorrhage. The total number of lymph node dissected in 21 patients was 375, with the number of lymph node dissected as (21±9)per case. Time to postoperative first flatus, time to postoperative initial liquid food intake and duration of postoperative hospital stay in 21 patients were (3.1±0.7)days, (4.0±0.8)days and (10.1±3.0)days, respectively. There were 2 patients with postoperative complications, including 1 case of incision infection and 1 case of lung infection. The 2 patients with postoperative com-plications were recovered and discharged after conservative treatment. There was no death during the postoperative 30 days.Conclusion:The application of antegrade splenic superior region dissec-tion first in laparoscopic total gastrectomy is safe and feasible, which can reduce surgical difficulty.

Objective To analyze the safety and efficacy of neuroendoscopic minimally invasive surgery and traditional extraventricular drainage in the treatment of severe hypertensive intraventricular hemorrhage.Methods The clinical data of 50 cases with neuroendoscopic ventricular hematoma evacuation(endoscopy group)and 44 cases with traditional ventricles external puncture drainage(drainage group)from July 2020 to July 2023 were retrospectively analyzed,and the hematoma clearance rates,classification of activities of daily living(ADL)scale,incidence of hydrocephalus,secondary bleeding,intracranial infection,and pulmonary infection were observed between the two groups of patients.Results After surgery,the proportion of patients with hematoma clearance rate>60％and ADL grades Ⅰ,Ⅱ,and Ⅲ in the endoscopy group were significantly higher than those in the drainage group[the proportion of patients with hematoma clearance rate>60％:88.0％(44/50)vs.47.7％(21/44),χ2=17.794,P<0.001;the proportion of individuals with ADL grades Ⅰ,Ⅱ,and Ⅲ:94.0％(47/50)vs.77.3％(33/44),respectively,χ2=5.459,P=0.019],the incidence of complications in endoscopy group was significantly lower in the drainage group[8.0％(4/50)vs.34.1％(15/44),χ2=9.879,P=0.002].Conclusion Compared with traditional ventricular puncture drainage surgery,neuroendoscopic minimally invasive surgery for the treatment of severe hypertensive intracerebral hemorrhage with ventricular casting can achieve better treatment outcomes,a higher hematoma clearance rate,and fewer postoperative complications.