ObjectiveThis study aims to investigate the dynamic changes in general body parameters, blood glucose, and blood lipid profiles in obese cynomolgus monkeys, exploring the correlations among these parameters and providing a reference for research on the obese cynomolgus monkey model. Methods30 normal male cynomolgus monkeys aged 5 - 17 years old (with body mass index < 35 kg/m² and glycated hemoglobin content < 4.50%) and 99 spontaneously obese male cynomolgus monkeys (with body mass index ≥35 kg/m² and glycated hemoglobin content < 4.50%) were selected. Over a period of three years, their abdominal circumference, skinfold thickness, body weight, body mass index, fasting blood glucose, glycated hemoglobin, and four blood lipid indicators were monitored. The correlations between each indicator were analyzed using repeated measurement ANOVA, simple linear regression, and multiple linear regression correlation analysis method. Results Compared to the control group, the obese group exhibited significantly higher levels of abdominal circumference, skinfold thickness, body weight, body mass index, and triglyceride (P＜0.05). In the control group, skinfold thickness increased annually, while other indicators remained stable. Compared with the first year, the obese group showed significantly increased abdominal circumference, skinfold thickness, body weight, body mass index, triglyceride, and fasting blood glucose in the second year(P＜0.05), with this increasing trend persisting in the third year (P＜0.05). In the control group, the obesity incidence rates in the second and third years were 16.67% and 23.33%, respectively, while the prevalence of diabetes remained at 16.67%. In the obese group, the diabetes incidence rates were 29.29% and 44.44% in years 2 and 3, respectively. Among the 11-13 year age group, the incidence rates were 36.36% and 44.68%, while for the group older than 13 years, the rates were 28.13% and 51.35%. Correlation analysis revealed significant associations (P＜0.05) between fasting blood glucose and age, abdominal circumference, skinfold thickness, body weight, and triglyceride in the diabetic monkeys. Conclusion Long-term obesity can lead to the increases in general physical indicators and fasting blood glucose levels in cynomolgus monkeys, and an increase in the incidence of diabetes. In diabetic cynomolgus monkeys caused by obesity, there is a high correlation between their fasting blood glucose and age, weight, abdominal circumference, skinfold thickness, and triglyceride levels, which is of some significance for predicting the occurrence of spontaneous diabetes.

Objective:To explore the effects of an intervention strategy based on dyadic illness management theory on dyadic coping level, supportive care needs, and patients' disease symptoms with chemotherapy-stage ovarian cancer patients and their spouses, and to provide reference for improving their disease coping ability and quality of life.Methods:This study used the method of randomized controlled trial. Seventy pairs of ovarian cancer patients and their spouses who received regular chemotherapy and their spouses from Obstetrics and Gynecology Hospital, Fudan University from July 2022 to June 2023 were selected using convenience sampling method. They were assigned to the control group (36 pairs) and the observation group (36 pairs) by the random number table method. Participants in the control group received routine nursing care and the observation group received the intervention strategy of dyadic illness management theory. Data were collected and compared the differences in dyadic coping levels, care needs, and disease symptoms between two groups of patients and their spouses before intervention (before chemotherapy) and after intervention (after the end of the chemotherapy cycle). SPSS 20.0 software was used for analysis, and t-tests, χ2 tests, and Wilcoxon rank sum tests were used to compare the two groups. Results:Finally, 36 pairs were included in the control group and 34 pairs in the observation group. The age of the control group patients was (52.03 ± 9.44) years old, while that of the observation group patients was (53.41 ± 10.14) years old. After the intervention, the total score of dyadic coping level in the patients and their spouses of the observation group were (113.50 ± 8.03), (114.62 ± 10.59) points, respectively, which were higher than (106.64 ± 10.06), (108.78 ± 10.89) points of the control group with significant differences ( t=-3.14, -2.27, both P<0.05); the total score of care needs in the patients and their spouses of the observation group were (89.65 ± 8.29), (95.12 ± 7.25) points, respectively, which were lower than (100.25 ± 10.82), (110.11 ± 7.58) points of the control group with significant differences ( t=4.58, 8.45, both P<0.001); the total score of disease symptoms in the patients of the observation group was (20.09 ± 4.70) points, which was lower than (31.53 ± 6.08) points of the control group with significant differences ( t=8.77, P<0.001). Conclusions:The model of dyadic illness management can improve dyadic coping level and supportive care needs of chemotherapy-stage ovarian cancer patients and their spouses, and alleviate patients′ disease symptoms.

Objective:To explore the different reaction patterns among family caregivers of patients with advanced gynecological malignancies, and to analyze the influencing factors of different profiles.Methods:A cross-sectional study was conducted with 210 family caregivers of patients with advanced gynecological malignancies from Obstetrics and Gynecology Hospital in Shanghai from January 2022 to December 2022. Data were collected by Caregiver Reaction Assessment, Mishel's Uncertainty in Illness Scale-Family Member Form and Perceived Social Support Scale. Latent profile analysis was used to explore the different reaction patterns among family caregivers of patients with advanced gynecological malignancies. The influencing factors of caregiver reaction were identified by multivariate Logistic regression.Results:Totally 208 questionnaires were effectively collected. The family caregivers among patients with advanced gynecological malignancies included 163 males and 45 females, aged (53.89 ± 12.61) years old. The reaction characteristics of 208 family caregivers among patients with advanced gynecological malignancies were divided into three categories: low burden and high benefit group (24.5%, 51/208), moderate burden and benefit group (30.8%, 64/208), and high burden and low benefit group (44.7%, 93/208). Compared to the low burden and high benefit group, caregivers with lower levels of social support were more likely to be classified as moderate burden and benefit group, high burden and low benefit group ( OR = 0.563, 0.407, both P<0.01). Caregivers with moderate burden and benefit group, high burden and low benefit group had higher levels of disease uncertainty ( OR = 1.328, 2.064, both P<0.01). The caregiver′s age, monthly family income, education level, and co-caregivers were also influencing factors regarding to care reaction among family caregivers of patients with advanced gynecological malignancies ( OR values were 0.207-6.422, all P<0.05). Conclusions:The care reaction of family caregivers among patients with advanced gynecological malignancies has obvious categorical features. Healthcare professionals should implement targeted nursing interventions according to their reaction characteristics, so as to reduce the care burden of family caregivers and improve the quality of care for patients with advanced gynecological malignancies.

OBJECTIVE To explore the renal protective mechanism of Shenbining granules on IgA nephropathy （IgAN） rats based on mitochondrial quality control system. METHODS IgAN rat model was established by the method of “bovine serum albumin+carbon tetrachloride+lipopolysaccharide”. The model rats were randomly divided into model group， prednisone acetate group （6.25 mg/kg）， Shenbining equal-dose group （4.1 g/kg） and Shenbining high-dose group （20.5 g/kg）. The normal rats were taken as the normal control group， with 12 rats in each group. Rats were given corresponding drugs or distilled water intragastrically in each group， once a day， for 4 consecutive weeks. After the last medication， the 24 h total urinary protein （24 h- UTP） and erythrocyte count in urine were determined， and the levels of serum creatinine （Scr）， blood urea nitrogen （BUN）， albumin （ALB） and alanine transaminase （ALT） were also detected. The histopathological changes in the kidneys and changes in IgA deposition in the mesangial area of the kidney were observed. mRNA and protein expression levels of PTEN-induced putative kinase 1 （PINK1）， E3 ubiquitin ligase（Parkin）， microtubule-associated protein 1 light chain-3 （LC3）， dynamin-related protein 1 （Drp1） and mitofusin 2 （Mfn2） were detected in the kidney tissues of rats. RESULTS Compared with model group， 24 h-UTP， urinary erythrocyte count， ALT， BUN and Scr levels， LC3-Ⅱ/LC3-Ⅰ mRNA ratio， mRNA and protein expressions of Drp1 were reduced significantly in prednisone acetate group， Shenbining equal-dose group and Shenbining high-dose group （P＜0.05）； ALB level， LC3-Ⅱ/LC3-Ⅰ protein ratio， mRNA and protein expressions of PINK1， Parkin and Mfn2 were increased significantly （P＜0.05）； the pathological morphology of kidney tissue in rats was significantly improved， and IgA deposition was significantly reduced. CONCLUSIONS Shenbining granule may reduce renal pathological injury in IgAN rats and protect renal function by activating the PINK1/Parkin pathway， enhancing mitochondrial autophagy， and correcting mitochondrial kinetic disorders.

Objective:Postdoctoral researchers in Chinese universities commonly face a high risk of mental health issues,such as depression,yet the underlying causes and mechanisms remain unclear.This study aims to explore the influence of childhood socioeconomic status(SES)on depression among postdoctoral researchers and the mediating roles of current subjective SES and perceived stress in this process. Methods:An online survey was conducted among postdoctoral researchers at a university.The survey included a general information questionnaire,the Childhood Socioeconomic Status Scale,the Subjective Socioeconomic Status Scale,the Perceived Stress Scale,and the Patient Health Questionnaire.A total of 505 valid responses were collected.Pearson correlation analysis was used to analyze the data,and the PROCESS macro was employed for chain mediation analysis. Results:Childhood SES was significantly positively correlated with current subjective SES(P<0.05)and significantly negatively correlated with postdoctoral tenure,perceived stress,and depression(all P<0.05).Current subjective SES was significantly negatively correlated with perceived stress and depression(both P<0.05),while perceived stress was significantly positively correlated with depression(P<0.05).The chain mediation effect of childhood SES → current subjective SES → perceived stress → depression was significant(P<0.05). Conclusion:Childhood socioeconomic status can influence depression among postdoctoral researchers through the mediating roles of current subjective socioeconomic status and perceived stress.These findings provide a target for the prevention and intervention of depression in postdoctoral populations and offer a reference for the development of mental health promotion strategies for young university faculty.

Primary hepatocellular carcinoma(HCC)is a common malignant tumor in the world,and in China it is the fourth most common malignant tumor and the second cause of cancer mortality.In China,most HCC patients are already in the advanced stage when the clinical diagnosis of HCC is confirmed,and it is impossible to adopt a radical treatment for the patient.At present,transarterial chemoembolization(TACE)has become the mainstream therapeutic option for unresectable HCC,and hepatic arterial perfusion chemotherapy(HAIC),as a new therapeutic option,has attracted extensive attention.This article reviews the research progress in TACE combined with HAIC for the treatment of HCC,and obtains the following conclusions:TACE combined with HAIC has better efficacy than TACE along in patients with unresectable HCC of BCLC stage C,massive HCC,and portal venous invasion,but there is no significant difference in the therapeutic efficacy between TACE combined with HAIC and TACE alone for patients with HCC of BCLC stage A/B.It is expected that this review will provide effective recommendations for treating HCC patients in clinical practice,further standardize TACE treatment and later-stage HAIC treatment,and provide the basis for the design of relevant clinical studies.

Objective:To explore therapeutic efficacy and mechanism of puerarin(PUE)in treating of ulcerative colitis(UC).Methods:Network pharmacology and molecular docking technique were used to screen and analyze targets of PUE in regulating UC.C57BL/6 mice were given free access to 2.5%DSS aqueous solution for 7 days,and influence of PUE on changes in body weight and disease activity index(DAI)score were subsequently observed.Histopathological alterations of colon tissue were observed by HE staining,changes of goblet cell population in colon tissue were evaluated through Alcian blue staining;expressions of inflammatory factors in colon tissue were detected by qRT-PCR and ELISA.Effect of PUE on MODE-K cell viability and apoptosis were assessed by CCK-8 and flow cytometry.Results:A total of 38 common targets of PUE in modulating UC,such as AKT1,TNF,STAT3,CASP3,HIF1A and etc,mainly involving TNF,IL-17 and PI3K-Akt signaling pathway.In vivo experiments confirmed that PUE ameliorated degree of colon shortening,body weight and DAI scores and reduced inflammatory cell infiltration in mice.Besides,expressions of inflammatory factors in colon,such as TNF-α and IL-1β,were inhibited by PUE.Furthermore,in vitro experiments validated that PUE relieved DSS-induced apoptosis of epithelial cells.Conclusion:PUE alleviates occurrence and development of DSS-induced UC in mice.

Objective:To explore the value of contrast enhancement T1 fluid-attenuated inversion recovery sequence (CE-T1FLAIR) based on modulated flip angle technique in refocused imaging with extended echo train (MATRIX) in detecting metastases.Methods:One hundred and seventy-six patients with pathologically diagnosed malignant tumors and brain metastases accepted enhanced 3.0T MRI scan in Department of Medical Imaging, He'nan Provincial Cancer Hospital from October 2023 to February 2024 were enrolled. Lianying's intelligent brain metastasis AI-assisted detection system and sequences of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR were used to detect the brain metastasis lesions, respectively. Length of the lesions was measured according to Lianying's intelligent brain metastasis AI-assisted detection system, and all lesions were divided into 3 categories: <3 mm, 3-10 mm, and >10 mm. Differences in detection rate in brain metastases of different lengths and locations among the 3 sequences were compared.Results:Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR, and FSE CE-T1FLAIR in brain metastases were 99.67%, 90.52%, and 71.02%, which were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR in brain metastases with length<3 mm (99.24%, 79.95% and 46.45%) or length of 3-10 mm (100%, 98.19% and 87.53%) were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR (100%, 80.56% and 64.24%), 3D GRE_fsp CE-T1FLAIR (100%, 97.25% and 76.11%), and FSE CE-T1FLAIR (100%, 91.18% and 70.59%) in metastases at the superficial area of the brain convexity, gray-white matter junction area, and cerebellum were decreased successively, with significant differences ( P<0.05). Detection rates of FSE CE-T1FLAIR in brain metastases in the basal ganglia and brainstem (69.33% and 50%) were significantly lower than those of MATRIX CE-T1FLAIR and 3D GRE_fsp CE-T1FLAIR (97.33% and 92.86%; 88% and 78.57%, P<0.05). Conclusion:MATRIX CE-T1FLAIR sequence is better than 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR sequences in detecting brain metastases, especially for metastases with length<10 mm and metastases located at the superficial area of the brain convexity, gray-white matter junction area and cerebellum.

CD226 is an activated receptor on the surface of natural killer (NK) cells. It competes with TIGIT and CD96 to bind to ligands such as CD155 on the surface of tumor cells and mediates the killing function of NK cells. Although TIGIT and CD96 have other binding ligands in the tumor microenvironment, they compete to bind CD115 ligands with higher affinity and inhibit the activity of NK cells, which allows tumor cells to evade killing. Therefore, studying the expression patterns of these three NK cell surface receptors in different tumors and monitoring their binding ability with ligands will help us to explore new tumor treatment strategies. This article reviews the role and mechanism of CD226, TIGIT, CD96 and other NK cell receptor molecules in regulating NK cell function in anti-tumor immune response.
Ligands ; Receptors, Immunologic ; Receptors, Natural Killer Cell ; Killer Cells, Natural ; Antigens, CD

OBJECTIVE: To establish a machine learning model based on extreme gradient boosting (XGBoost) algorithm for early prediction of severe acute pancreatitis (SAP), and explore its predictive efficiency. METHODS: A retrospective cohort study was conducted. The patients with acute pancreatitis (AP) who admitted to the First Affiliated Hospital of Soochow University, the Second Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University from January 1, 2020 to December 31, 2021 were enrolled. Demography information, etiology, past history, and clinical indicators and imaging data within 48 hours of admission were collected according to the medical record system and image system, and the modified CT severity index (MCTSI), Ranson score, bedside index for severity in acute pancreatitis (BISAP) and acute pancreatitis risk score (SABP) were calculated. The data sets of the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University were randomly divided into training set and validation set according to 8 : 2. Based on XGBoost algorithm, the SAP prediction model was constructed on the basis of hyperparameter adjustment by 5-fold cross validation and loss function. The data set of the Second Affiliated Hospital of Soochow University was served as independent test set. The predictive efficacy of the XGBoost model was evaluated by drawing the receiver operator characteristic curve (ROC curve), and compared it with the traditional AP related severity score; variable importance ranking diagram and Shapley additive explanation (SHAP) diagram were drawn to visually explain the model. RESULTS: A total of 1 183 AP patients were enrolled finally, of which 129 (10.9%) developed SAP. Among the patients from the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University, there were 786 patients in the training set and 197 in the validation set; 200 patients from the Second Affiliated Hospital of Soochow University were used as the test set. Analysis of all three datasets showed that patients who advanced to SAP exhibited pathological manifestation such as abnormal respiratory function, coagulation function, liver and kidney function, and lipid metabolism. Based on the XGBoost algorithm, an SAP prediction model was constructed, and ROC curve analysis showed that the accuracy for prediction of SAP reached 0.830, the area under the ROC curve (AUC) was 0.927, which was significantly improved compared with the traditional scoring systems including MCTSI, Ranson, BISAP and SABP, the accuracy was 0.610, 0.690, 0.763, 0.625, and the AUC was 0.689, 0.631, 0.875, and 0.770, respectively. The feature importance analysis based on the XGBoost model showed that the top ten items ranked by the importance of model features were admission pleural effusion (0.119), albumin (Alb, 0.049), triglycerides (TG, 0.036), Ca²⁺ (0.034), prothrombin time (PT, 0.031), systemic inflammatory response syndrome (SIRS, 0.031), C-reactive protein (CRP, 0.031), platelet count (PLT, 0.030), lactate dehydrogenase (LDH, 0.029), and alkaline phosphatase (ALP, 0.028). The above indicators were of great significance for the XGBoost model to predict SAP. The SHAP contribution analysis based on the XGBoost model showed that the risk of SAP increased significantly when patients had pleural effusion and decreased Alb. CONCLUSIONS A SAP prediction scoring system was established based on the machine automatic learning XGBoost algorithm, which can predict the SAP risk of patients within 48 hours of admission with good accuracy.
Humans ; Pancreatitis ; Acute Disease ; Retrospective Studies ; Hospitalization ; Algorithms