To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

In recent years, the concept of membrane anatomy has gain continuous extension and breakthrough in multiple specialized fields such as gastrointestinal surgery. Compared with traditional surgery, radical resection of gastrointestinal tumors based on the concept of membrane anatomy has shown significant advantages in therapeutic effects. However, in practical application, this concept still faces many problems and challenges, among which how to accurately identify membrane structures and achieve effective membrane navigation during surgery has become a key concern. To address the above issues, our team developed and established the Deepguide membrane navigation system, aiming to overcome the difficulties in membrane identification and navigation, and solve the critical problem of insufficient membrane integrity rate after gastrointestinal tumor surgery. This paper systematically reviews the creation process and clinical application scenarios of the Deepguide membrane navigation system, and prospects its future application prospects and development directions, to provide a useful reference for the development of membrane anatomy surgery and the research and development of navigation technologies.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To explore inhibitory effect of Tianzhi granule on neuroinflammation in vascular dementia(VD)rats.Methods:Sixty rats were randomly divided into Sham group,VD group,TZG-L group and TZG-H group,with 15 rats in each group.Bilateral common carotid artery occlusion was used to construct VD rats model,Sham group was not ligated.Rats in TZG-L group and TZG-H group were gavaged with Tianzhi granule 5 g/kg,20 g/kg every day,while rats in Sham group and VD group were gavaged with same amount of normal saline for 8 weeks.Y-maze test was used to detect cognitive ability of rats;Nissl staining and FJC staining were used to assess neuronal damage;TUNEL staining was used to detect neuronal apoptosis;immunofluorescence staining and Western blot were used to detect Bcl-2,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO,Nrf2,HO-1 protein levels in temporal cortex tissue.PC12 cells was divided into Control group,Glutamate group,TZG-L group and TZG-H group.Glutamate(20 μmol/L)was used to construct neuron injury model.TZG-L group and TZG-H group were added with Tianzhi granule 1 mg/ml,4 mg/ml.Neurons in each group were incubated for 48 h.CCK8 method and TUNEL staining were used to detect activity and apoptosis of neurons;immunofluorescence staining and Western blot were used to detect Bcl-2,Bax,Caspase-3,Nrf2,HO-1 protein levels in cells.Results:Compared with Sham group,cognitive ability of rats in VD group were decreased,TUNEL positive neurons ratio was increased,Bcl-2 level was decreased,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO,Nrf2,HO-1 levels were increased(all P<0.05).Compared with VD group,cognitive ability of rats in TZG-L group and TZG-H group were increased,TUNEL positive neurons ratio was decreased,Bcl-2,Nrf2,HO-1 levels were increased,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO levels were decreased(all P<0.05).Morphology of neurons in control group were normal;compared with control group,neurons in Glutamate group were swollen,activity of neurons was decreased,apoptosis rate was increased,Bcl-2 level was decreased,Bax,Caspase-3,Nrf2,HO-1 levels were increased(all P<0.05);compared with Glutamate group,cell damage in TZG-L group and TZG-H group were reduced,activity of neurons was increased and apoptosis rate was decreased,Bcl-2,Nrf2,HO-1 levels were increased,Bax,Caspase-3 levels were decreased(all P<0.05).Conclusion:Tianzhi granule can inhibit neuronal apoptosis and expression of NLRP3 inflammasome in VD rats,inhibit activa-tion of microglia/astrocytes and neutrophil infiltration,improve neuroinflammation of VD,which may play a role by activating Nrf2/HO-1 signaling pathway in neurons.

To perform the phylogenetic characterization of an isolated porcine rotavirus(PoRV)and investigate its pathogenicity in suckling mice and piglets.A G4P[23]genotype PoRV strain JSJR2023 was successfully isolated from the diarrheic piglet feces through propagation in MA104 cells.The viral proliferation kinetics were analyzed using TCID50 assays,followed by complete genome sequencing through Sanger sequencing platforms.Comprehensive genotyping and phylogenetic reconstruction were conducted using MEGA7.0 with maximum likelihood algorithms.Pathogenicity was assessed in the following animal models:5-day-old C57BL/6 mice and 3-day-old piglets.Multidimensional evaluation included clinical monitoring(diarrhea scoring,growth parameters),virological detection,and histopathological analysis of intestinal tissues.The virus strain JSJR2023 could replicate efficiently in MA104 cells,achieving peak titers of 107.5 TCID50/mL.Whole genome genotype analysis showed that the strain belonged to G4-P[23]-I5-R1-C1-M1-A8-N1-T1-E1-H1.Phylogenetic analysis indicated that the VP3 and NSP4 genes of JSJR2023 strain were most closedrelated to human species rotaviruses,suggesting genetic reassortment between human and porcine RV strains.The animal experiments in suckling mice showed that the JSJR2023 strain infection caused diarrhea symptoms,intestinal edema and congestion,and shedding of intestinal villus epithelial cells.The pathogenicity experiments in piglets showed that compared with the control group,the challenged group of pig-lets had severe diarrhea symptoms,accompanied by reduced appetite and listlessness.Post-mortem examination revealed that the intes-tines were significantly thinner,congested,and filled with yellow watery contents.The challenged piglets showed typical pathological changes such as thinning of the intestinal wall and shortening and shedding of intestinal villi.In conclusion,this study successfully iso-lated a human-porcine recombinant G4P[23]PoRV strain and established the infection models in suckling mice and piglets,providing important tools for investigating the pathogenic mechanism of PoRV,evaluating vaccines and developing antiviral drug.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.

Objective:To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.Methods:PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.Results:A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.Conclusions:This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Toxoplasmosis is a zoonotic disease caused by infection with Toxoplasma gondii. Congenital toxoplasmosis is a common form of intrauterine infection and is associated with severe neurological sequelae such as cerebral palsy and cognitive impairment. This report presented the magnetic resonance imaging (MRI) features of a fetal intracranial toxoplasmosis case, including bilateral ventriculomegaly, multiple intracranial cystic lesions, and parenchymal calcifications, without concurrent retinal abnormalities or hepatosplenomegaly. Post-termination analyses confirmed the presence of T.gondii DNA in amniotic fluid and umbilical venous blood, with histopathology revealing necrosis and eosinophilic infiltration. MRI demonstrates superior soft-tissue resolution in evaluating the extent of cerebral lesions and parenchymal damage, underscoring its diagnostic value in fetal toxoplasmic encephalopathy.