Objective: To analyze the association between poor sleep characteristics and the coexistence of negative emotions and overweight/obesity among college students, so as to provide a scientific basis for improving their physical and mental health. Methods: From November to December 2023, a convenience sampling method was used to survey 6 600 college students from nine universities in Jiangxi, Hunan, and Hubei provinces. The Depression Anxiety and Stress Scale-21 (DASS-21), Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and physical examinations were employed to assess negative emotions, poor sleep characteristics, and overweight/obesity. Chi square test and Logistic regression were used to analyze the impact of poor sleep characteristics on the coexistence of negative emotions and overweight/obesity. Results: The coexistence rates of different categories of negative emotions (depression, anxiety, stress) and overweight/obesity were 6.1% ( n= 405), 8.0% ( n =529), and 3.3% ( n =217), respectively. Gender, grade level, major, maternal education level, annual family income, physical activity level, only child status, and carbonated beverage consumption were statistically associated with the coexistence rates of different categories of negative emotions and overweight/obesity ( χ 2=4.01-35.18, all P <0.05). Logistic regression analysis showed that after adjusting for gender, grade level, major, only child status, maternal education level, annual family income, physical activity level, and carbonated beverage consumption, poor sleep characteristics were significantly associated with an increased risk of the coexistence of negative emotions and overweight/obesity ( OR =1.41-6.65); moderate and poor sleep quality levels were significantly associated with an increased risk of the coexistence of different categories of negative emotions and overweight/obesity among female students ( OR =1.99-4.71) (all P <0.05). Conclusions Poor sleep characteristics are associated with the coexistence of negative emotions and overweight/obesity among college students. Greater attention should be paid to sleep issues in this population, and sleep education should be actively promoted to reduce the risk of comorbid negative emotions and overweight/obesity.

Objective To explore the mechanism by which She-Ti-Zhi-Qiu decoction alleviates allergic rhinitis (AR) through gut microbiota-mediated regulation of T helper cell 17(Th17)/regulatory T cells(Treg) balance and related cytokines. Methods Twenty-eight female SD rats were randomly divided into four groups: the Control group, Model group, STZQ group, and Probiotics group. Except for the Control group, all other groups were sensitized with ovalbumin (OVA) to establish AR models. The Control and Model groups received intragastric administration of normal saline, while the STZQ group was administered She-Ti-Zhi-Qiu Decoction, and Probiotics group received probiotics. After two weeks of continuous intragastric administration, nasal mucosa, serum, peripheral blood, and colon contents were collected. The inflammation of nasal mucosal tissue was assessed via HE staining. 16S rDNA sequencing was used to detect and analyze the structure and content of bacteria in colon contents. Flow cytometry was used to detect the relative proportions of Treg and Th17 cells in peripheral blood. ELISA was used to measure the levels of Th17- and Treg-related cytokines in serum. Results Compared with the Control group, the Model group showed an inflammatory response in nasal mucosal tissue, along with increased IL-17A and IL-17E levels and decreased IL-10 levels. The percentage of Th17 cells in peripheral blood increased, while the percentage of Treg cells decreased. Beneficial bacteria in the intestine were decreased, while pathogenic bacteria were increased. Compared with the Model group, the STZQ group showed lower serum IL-17A and IL-17E levels and higher IL-10 levels. The percentage of Th17 in peripheral blood decreased, while the percentage of Treg increased. There was an increase in beneficial bacteria in the intestine and a decrease in pathogenic bacteria. The changes in the microbiota were correlated with IL-17A, IL-17E, and IL-10 levels. Conclusion She-Ti-Zhi-Qiu decoction can ameliorate the inflammation of AR by regulating gut microbiota and Th17/Treg immune balance.
Animals ; T-Lymphocytes, Regulatory/drug effects* ; Th17 Cells/drug effects* ; Gastrointestinal Microbiome/drug effects* ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Rhinitis, Allergic/microbiology* ; Rats ; Cytokines

Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

Cystic echinococcosis, a zoonotic disease that poses a significant threat to human health and animal husbandry development, is prevalent across the world and predominantly occurs in agricultural and pastoral regions. However, cystic echinococcosis cases are rare in non-endemic areas, which is likely to cause misdiagnosis or missing diagnosis, resulting in delay in treatment. This report presents an overseas imported cystic echinococcosis case misdiagnosed as pulmonary and hepatic cysts, so as to provide insights into diagnosis and treatment of cystic echinococcosis in non-endemic areas.

Purpose To assess the right atrial and right ventricular strain and right ventricular-pulmonary artery(RV-PA)coupling in rheumatoid arthritis(RA)via two-dimensional speckle tracking.Materials and Methods Sixty patients with RA in the General Hospital of Ningxia Medical University from June 2020 to June 2022 were prospectively selected,and all RA patients were divided into three groups according to pulmonary artery systolic pressure(PASP),including group A(n=20 cases)with PASP<33 mmHg,group B(n=20 cases)with PASP 33-39 mmHg as mild ePH,and group C(n=20 cases)PASP≥40 mmHg,twenty healthy individuals were selected as the control group.All subjects underwent transthoracic echocardiography,and right atrial and right ventricular systolic function was assessed by two-dimensional speckle tracking technique,and RV-PA coupling was assessed noninvasively by right ventricular free wall strain/pulmonary artery systolic pressure(RV FWS/PASP),pulmonary function was analyzed by pulmonary function instruments.Spearman's analysis was used to analyze the correlation between right heart function and RV-PA coupling to pulmonary diffusion function.Results There were statistical differences in right ventricular base diameter,right atrium diameter,tricuspid annular plane systolic excursion,inferior vena cava diameter,PASP,right ventricular global strain,RV FWS,right atrium strain-reservoi,right atrium strain-conduit(S-CD),RV FWS/PASP among the four groups(F/H=2.369-74.880,all P<0.05).Right atrium strain-reservoi[(36.0±7.9)%vs.(30.9±7.8)%],right atrium S-CD[(19.9±6.9)%vs.(15.3±4.7)%]and RV FWS/PASP(0.96±0.19 vs.0.56±0.13)in group B were significantly lower than those of group A(t=2.040,2.262,7.704,all P<0.05).There was a good correlation between diffusing capacity of the lung for carbon monoxide single-breathmethod and right ventricular global strain,RV FWS,right atrium S-CD and RV FWS/PASP in RA patients(r=0.392,0.472,0.431,0.572,all P<0.05).Conclusion The more increases of pulmonary artery pressures,the more decreases of right heart function in RA patients,and the more uncoupling in RV-PA.Right heart dysfunction and right ventricle-pulmonary artery uncoupling have developed in RA patients with PASP 33-39 mmHg,with association of pulmonary diffusion dysfunction.

To investigate the genomic features and perform cluster analysis of Carbapenem-resistant Klebsiella pneumoniae (CRKP) to provide an experimental basis for guiding the prevention and treatment of CRKP infections.A retrospective case-cohort study was conducted on 19 non-redundant CRKP strains isolated from the Tenth Affiliated Hospital of Southern Medical University between January and June 2023. Whole genome sequencing (WGS) and multilocus sequence typing (MLST) were performed to compare genomic features and analyze the resistance genes and homology of the strains.The results showed that the 19 CRKP strains were isolated from 8 different clinical departments, mainly from respiratory specimens. The whole genome sequencing revealed that the genomic lengths of CRKP ranged from 4.90 to 5.85 Mbp, with contigs N50 values>20 kb for each genome. The median overall GC content was 57.0% (50.4%-57.1%). Comparative genomic analysis identified three regions with high genomic variability. WGS detected 32 resistance genes across 11 categories. All 19 strains carried carbapenem resistance genes ( blaKPC-2 and blaOXA-48), blaTEM-1B extended-spectrum β-lactamase resistance genes, qnrS1 quinolone resistance gene, and fosA fosfomycin resistance gene, with each strain carrying only one carbapenemase gene. The detection rate of blaKPC-2 was 94.7% (18/19). MLST identified three sequence types: ST11, ST437 and ST147, with ST11 being predominant (89.5%, 17/19). Clustering analysis based on acquired resistance genes revealed three clonal transmission patterns among strains 72 and 90, and strains 88, 84, 66 and 79.In conclusion, CRKP strains carry multiple resistance genes, and clustering analysis indicating that nosocomial clonal transmission is closely related to acquired resistance genes. The ST11- blaKPC-2 type strain is the predominant clone. Strengthened surveillance and effective control strategies are necessary to reduce nosocomial transmission of CRKP.

Objective:To explore the association between insulin resistance (IR) and new-onset hyperuricemia (HUA) in nurses.Methods:A retrospective cohort study was conducted on 3 792 nurses from Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, who were surveyed from January to July in 2021. A total of 2 995 nurses who were successfully followed up in 2023 and met the inclusion criteria were selected for the study. The nurses were divided into four groups based on their quantiles (Q1 to Q4)for each indicator of insulin resistance (IR), including the triglyceride glucose (TyG), the triglyceride glucose-body mass index (TyG-BMI), the triglyceride/high-density lipoprotein-cholesterol index (TG/HDL-C), and the metabolic score for insulin resistance (METS-IR): groups. The impact of each IR indicator on the risk of HUA was assessed by using Cox regression analysis, while the receiver operating characteristic (ROC) curve was employed to evaluate and compare the predictive power of each indicator.Results:Of the 2 995 nurses, there were 65 males and 2 930 females, with a mean age of (33.19±6.67) years. During the follow-up period of 1.95 (1.87, 2.03) years, 152 new-onset HUA cases were identified, resulting in an incidence density of 26.02 per 1 000 person-years. After adjusting for various confounding factors, the Cox risk regression model analysis indicated that the hazard ratios (95% CI) for the risk of HUA in the highest quartile (Q4) compared to the lowest quartile (Q1) were as follows: 2.20(1.34, 3.63) for TyG, 4.95 (2.76, 8.90) for TyG-BMI, 3.24 (1.92, 5.45) for TG/HDL-C, and 6.15 (3.34, 11.33) for METS-IR. The areas under the ROC curves for TyG, TyG-BMI, TG/HDL-C, and METS-IR levels in predicting the risk of HUA in nurses was 0.71, 0.73, 0.72, and 0.74, respectively. Conclusion:The IR is positively correlated with new-onset HUA in nurses, and each IR index demonstrates a certain predictive efficacy for risk of HUA.

Objective To observe the value of left atrial strain combined with electrocardiogram(ECG)P-wave parameters for predicting recurrence of paroxysmal atrial fibrillation(PAF)after pulmonary vein isolation(PVI)using radiofrequency catheter.Methods Totally 88 PAF patients who planned to receive the first PVI were prospectively enrolled and divided into recurrence group(n=30)and non-recurrence group(n=58)according to results of ECG within 6 months after PVI.The patients'basic data,the transthoracic echocardiography(TTE)parameters,including left atrial reservoir strain(LASr),left atrial conduct strain(LAScd)and left atrial contraction strain(LASct),as well as ECG parameters including P-wave duration,PR interval and P/PR(the ratio of P-wave duration to PR interval)were compared between groups.Multivariate logistic regression analysis was performed of parameters being statistically different between groups to screen independent predictors for recurrence of PAF after PVI.The receiver operating characteristic curve and the area under the curve(AUC)were used to evaluate the predicting efficacy of individual independent predictors alone and their combination,and DeLong test was used for comparison.Results No significant difference of patients'basic data was found between groups(all P＞0.05).Compared with those in non-recurrence group,LASr and LAScd decreased while P/PR increased in recurrent group(all P＜0.05).LASr(OR=0.805),LAScd(OR=0.850)and P/PR(OR=1.119)were all independent predictors for recurrence of PAF after PVI(all P＜0.05),with AUC of 0.755,0.643 and 0.771,respectively,all lower than their combination(AUC=0.869)(all P＜0.05).Conclusion TTE and ECG parameters could be used to predict recurrence of PAF after PVI.The predicting efficacy of the combination of LASr,LAScd and P/PR was better than that of each alone.

To investigate the genomic features and perform cluster analysis of Carbapenem-resistant Klebsiella pneumoniae (CRKP) to provide an experimental basis for guiding the prevention and treatment of CRKP infections.A retrospective case-cohort study was conducted on 19 non-redundant CRKP strains isolated from the Tenth Affiliated Hospital of Southern Medical University between January and June 2023. Whole genome sequencing (WGS) and multilocus sequence typing (MLST) were performed to compare genomic features and analyze the resistance genes and homology of the strains.The results showed that the 19 CRKP strains were isolated from 8 different clinical departments, mainly from respiratory specimens. The whole genome sequencing revealed that the genomic lengths of CRKP ranged from 4.90 to 5.85 Mbp, with contigs N50 values>20 kb for each genome. The median overall GC content was 57.0% (50.4%-57.1%). Comparative genomic analysis identified three regions with high genomic variability. WGS detected 32 resistance genes across 11 categories. All 19 strains carried carbapenem resistance genes ( blaKPC-2 and blaOXA-48), blaTEM-1B extended-spectrum β-lactamase resistance genes, qnrS1 quinolone resistance gene, and fosA fosfomycin resistance gene, with each strain carrying only one carbapenemase gene. The detection rate of blaKPC-2 was 94.7% (18/19). MLST identified three sequence types: ST11, ST437 and ST147, with ST11 being predominant (89.5%, 17/19). Clustering analysis based on acquired resistance genes revealed three clonal transmission patterns among strains 72 and 90, and strains 88, 84, 66 and 79.In conclusion, CRKP strains carry multiple resistance genes, and clustering analysis indicating that nosocomial clonal transmission is closely related to acquired resistance genes. The ST11- blaKPC-2 type strain is the predominant clone. Strengthened surveillance and effective control strategies are necessary to reduce nosocomial transmission of CRKP.

Objective:To identify risk variables for prolonged postoperative length of stay (PPOLOS) in hip fracture patients by machine learning algorithms and construct Nomogram models.Methods:A retrospective case-control study was conducted to select 248 patients with hip fracture diagnosed and treated in Yingtan 184th Hospital from June 2019 to June 2023 by convenient sampling method. Two machine learning algorithms were used (least absolute shrinkage and selection operator, LASSO and support vector machine-Recursive Feature Elimination, SVM-RFE) to screen PPOLOS risk variables. Construct a Nomogram model to predict the risk of PPOLOS in patients with hip fracture based on intersection risk variables. The model was validated using internal data sets.Results:Among the 248 patients with hip fracture, there were 79 males and 169 females, aged (64.49 ± 8.02). The mean postoperative length of hospital stay of 248 patients was (7.98 ± 5.68) d, and the median was 7 d. LASSO algorithm identifies 7 risk variables, the SVM-RFE algorithm identified 8 risk variables. Intersectional risk variables were age, body mass index (BMI), Charlson comorbidity index (CCI), type of surgery, and central granulocytocyte ratio (NLR). Multivariate Logistic regression analysis(intersection risk variables) showed that age [ OR=1.649(1.235-2.202)], BMI [1.603(1.204-2.134)], CCI [ OR=1.670(1.236-2.258)], type of surgery [ OR=1.620(1.209-2.170), 1.699(1.243-2.321)], and NLR [ OR=3.258(2.299-4.617)] were independently associated with the risk of PPOLOS (all P<0.05). The results showed that the conformity index of the Nomogram model was 0.865 (95% CI=0.768-0.945). The area under the curve was 0.852 (95% CI=0.748-0.962). When the risk threshold was >0.08, it could provide significant clinical net benefit. The clinical impact curve showed effective identification of PPOLOS patients in high-risk groups. Conclusions:This Nomogram model can guide medical staff to make clinical diagnosis and treatment decisions as soon as possible to avoid risks, allocate medical resources rationally, and improve nursing quality.