Objective To explore the prognostic value of glycolysis-related genes in colorectal cancer (CRC) patients and formulate a novel glycolysis-related prognostic risk model. Methods Single-cell and bulk transcriptomic data of CRC patients, along with clinical information, were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Glycolysis scores for each sample were calculated using single-sample Gene Set Enrichment Analysis (ssGSEA). Kaplan-Meier survival curves were generated to analyze the relationship between glycolysis scores and overall survival. Novel glycolysis-related subgroups were defined among the cell type with the highest glycolysis scores. Gene enrichment analysis, metabolic activity assessment, and univariate Cox regression were performed to explore the biological functions and prognostic impact of these subgroups. A prognostic risk model was built and validated based on genes significantly affecting the prognosis. Gene Set Enrichment Analysis (GSEA) was conducted to explore differences in biological processes between high- and low-risk groups. Differences in immune microenvironment and drug sensitivity between these groups were assessed using R packages. Potential targeted agents for prognostic risk genes were predicted using the Enrichr database. Results Tumor tissues showed significantly higher glycolysis scores than normal tissues, which was associated with a poor prognosis in CRC patients. The highest glycolysis score was observed in epithelial cells, within which we defined eight novel glycolysis-related cell subpopulations. Specifically, the P4HA1⁺ epithelial cell subpopulation was associated with a poor prognosis. Based on signature genes of this subpopulation, a six-gene prognostic risk model was formulated. GSEA revealed significant biological differences between high- and low-risk groups. Immune microenvironment analysis demonstrated that the high-risk group had increased infiltration of macrophages and tumor-associated fibroblasts, along with evident immune exclusion and suppression, while the low-risk group exhibited higher levels of B cell and T cell infiltration. Drug sensitivity analysis indicated that high-risk patients were more sensitive to Abiraterone, while low-risk patients responded to Cisplatin. Additionally, Valproic acid was predicted as a potential targeted agent. Conclusion High glycolytic activity is associated with a poor prognosis in CRC patients. The novel glycolysis-related prognostic risk model formulated in this study offers significant potential for enhancing the diagnosis and treatment of CRC.
Humans ; Colorectal Neoplasms/pathology* ; Glycolysis/genetics* ; Prognosis ; Transcriptome ; Tumor Microenvironment/genetics* ; Gene Expression Profiling ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Kaplan-Meier Estimate

2 patients with lateral orbital malignant tumors were treated by tumor resection and autologous pedicled coronoid-temporalis muscle flap repair of the orbital wall defect.The flaps survived well without obvious facial collapse deformity and with good orbital wall func-tion and aesthetic effect,the mouth open pattern,the intra-oral occlusion and the masticatory function were satisfactory.

ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model， and to demonstrate the effect of applying the model in linking birth and death data. MethodsThrough the Shanghai birth and death registration system， data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data， the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix. ResultsUsing the Bayesian probabilistic linkage model， the birth and death data of infants were effectively linked， revealing that 36.71% of infants who died in Shanghai were born outside the city， and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86， precision of 0.76， and an F-score of 0.81. ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance， enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.

Background::Atopic dermatitis (AD) affects approximately 10% of adults worldwide. CM310 is a humanized monoclonal antibody targeting interleukin-4 receptor alpha that blocks interleukin-4 and interleukin-13 signaling. This trial aimed to evaluate the efficacy and safety of CM310 in Chinese adults with moderate-to-severe AD.Methods::This multicenter, randomized, double-blind, placebo-controlled, phase 2b trial was conducted in 21 medical institutions in China from February to November 2021. Totally 120 eligible patients were enrolled and randomized (1:1:1) to receive subcutaneous injections of 300 mg CM310, 150 mg CM310, or placebo every 2 weeks for 16 weeks, followed by an 8-week follow-up period. The primary endpoint was the proportion of patients achieving ≥75% improvement in the Eczema Area and Severity Index (EASI-75) score from baseline at week 16. Safety and pharmacodynamics were also studied.Results::At week 16, the proportion of EASI-75 responders from baseline was significantly higher in the CM310 groups (70% [28/40] for high-dose and 65% [26/40] for low-dose) than that in the placebo group (20%[8/40]). The differences in EASI-75 response rate were 50% (high vs. placebo, 95% CI 31%–69%) and 45% (low vs. placebo, 95% CI 26%–64%), with both P values <0.0001. CM310 at both doses also significantly improved the EASI score, Investigator’s Global Assessment score, daily peak pruritus Numerical Rating Scale, AD-affected body surface area, and Dermatology Life Quality Index compared with placebo. CM310 treatment reduced levels of thymus and activation-regulated chemokine, total immunoglobulin E, lactate dehydrogenase, and blood eosinophils. The incidence of treatment-emergent adverse events (TEAEs) was similar among all three groups, with the most common TEAEs reported being upper respiratory tract infection, atopic dermatitis, hyperlipidemia, and hyperuricemia. No severe adverse events were deemed to be attributed to CM310. Conclusion::CM310 at 150 mg and 300 mg every 2 weeks demonstrated significant efficacy and was well-tolerated in adults with moderate-to-severe AD.Trial Registration::ClinicalTrials.gov, NCT04805411.

Acute myocarditis(AM)may rapidly progress to fulminant myocarditis(FM),but lacks special clinical presentation.Multimodal echocardiography combined conventional transthoracic echocardiography,two-dimensional and three-dimensional speckle tracking imaging,myocardial contrast echocardiography and so on is helpful to detecting AM in early stage and assessing the severity,being of great value for clinical decision-making and prognostic evaluation.The research progresses of multimodal echocardiography in AM were reviewed in this article.

Objective To explore the current status and potential subtypes of frailty among family caregivers of patients with dementia,and to analyze the related influencing factors of different subtypes.Methods Dementia patients and their family caregivers in 8 community health service centers in Shanghai from June to October 2023 were recruited by convenience sampling.General information questionnaire,Tilburg Frailty Indicator(TFI),Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),Zarit Caregiver Burden Interview(ZBI),and Connor-Davidson Resilience Scale(CD-RISC)were conducted for investigation.Latent profile analysis was used to explore the potential subtypes of frailty among family caregivers of patients with dementia.The influencing factors associated with the potential subtypes were identified by univariate analysis and multivariate Logistic regression analysis.Results A total of 470 family caregivers of patients with dementia were surveyed,and 46.17％of them suffered from frailty.Frailty among family caregivers of patients with dementia can be classified into 3 potential subtypes:comprehensive-low frailty subtype(70.64％),psychosocial-medium frailty subtype(19.57％),and physical-high frailty subtype(9.79％).Family caregivers of patients with dementia who had poor sleep quality and suffered from 2 or more chronic diseases were more likely to be classified into the physical-high frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of depression,lower mastery levels of caregiving knowledge and skills and spousal caregivers were more likely to be classified into the psychosocial-medium frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of resilience were more likely to be classified into the comprehensive-low frailty subtype(P＜0.05).Conclusion The incidence of frailty among family caregivers of patients with dementia is at a high level with significant heterogeneity.It is suggested that medical staff should pay attention to the frailty of family caregivers,with a focus on family caregivers in the psychosocial-medium frailty subtype or physical-high frailty subtype,and take timely and targeted interventions according to the characteristics and influencing factors of different subtypes,so as to prevent or delay the occurrence and development of frailty.

Objective: To analyze the epidemiological characteristics and genetic characteristics of sapovirus (SaV) in a cluster of schools in Changzhou, so as to provide a reference for the treatment of clustered vomiting and diarrhea events in schools. Methods: The epidemiological data and laboratory test data of sapovirus clusters in Changzhou from 2019 to 2022 were collected and analyzed. Partial VP1 genes of SaV positive samples were amplified and sequenced for phylogenetic analysis. Results: A total of 8 cases of clusters of SaV epidemics were reported in Changzhou City from 2019 to 2022, with 118 reported cases. The total attack rate was 1.47%, and the median of the attack number was 15. There were 6 outbreaks in kindergartens and 2 outbreaks in primary schools, which were reported in the epidemic period from September to December. The main clinical manifestations were vomiting (113 cases, 95.76 %), abdominal pain (39 cases, 33.05%), and diarrhea (16 cases, 13.56%). Among the 8 outbreaks, 17 sample strains were successfully sequenced. 5 outbreaks were GII.3 , and the other 3 outbreaks were GI.1, GI .3 and GII.2. GI and GII were the main genotypes in this area, and GII .3 was the predominant strain. Conclusion SaV is an important pathogen in the clusters of vomiting and diarrhea in schools after the transmission of norovirus. Continuous surveillance of SaV should be carried out to further understand its epidemiological characteristics and genotype distribution, so as to provide scientific basis for the prevention and control of the epidemic in schools.

Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.
Humans ; Glucose ; Blood Glucose ; Insulin Resistance/physiology* ; Diabetes Mellitus, Type 2/diagnosis* ; Blood Glucose Self-Monitoring ; Time Factors ; Insulin