Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Objective To isolate pathogenic bacteria from the skin of a nude mouse exhibiting squamous skin scurfs, and perform bacterial identification, traceability analysis, and pathogenicity studies to provide a new approach for the diagnosis of pathogens in nude mice with squamous skin scurfs. MethodsSkin swab samples were collected from a nude mouse exhibiting squamous skin scurfs for nucleic acid testing, bacterial isolation and culture, biochemical identification, 16S rDNA gene amplification and sequencing, and whole genome sequencing to construct a phylogenetic tree. Fifteen BALB/c nude mice were randomized into a saline-treated control group, a high-concentration group treated with 1.8×10⁸ CFU/mL of the isolated bacterial suspension, and a low-concentration group treated with 1.8×10⁷ CFU/mL of the isolated bacterial suspension. Pathogenicity was assessed by animal infection experiments and observation of histopathological changes in skin tissue using HE staining. Results The nucleic acid test for Corynebacterium bovis was negative, excluding infection by this organism. The pathogen isolated on mannitol salt agar and blood agar, combined with Gram staining, suggested a Gram-positive Staphylococcus species. The isolated strain was identified by 16S rDNA sequencing and a fully automated microbial identification system as Staphylococcus xylosus. Phylogenetic tree analysis based on whole genome sequencing showed that the strain was most closely related to an isolate from leafy vegetables in South Korea (GenBank GCA_00207825.1). In the high-concentration group, squamous skin scurfs appeared on the head, neck, and back of nude mice on the 17th day post-infection, while in the low concentration group, similar symptoms appeared on the 20th day post-infection and gradually spread to other areas. The scaling symptoms were transient, lasting for 7 days in the high-concentration group and 3 days in the low-concentration group, after which the skin returned to normal. The infection rate was 33.33% in both the high- and low-concentration groups. No significant pathological changes were observed in the skin tissues of infected mice compared to the control group, indicating marked individual differences in the pathogenicity of the strain in nude mice. Conclusion A strain of Staphylococcus xylosus was isolated from the skin of a nude mouse exhibiting squamous skin scurfs. The strain is an opportunistic pathogen that causes transient squamous skin scurfs without significant histopathological changes, and there are individual differences in the sensitivity of nude mice to this strain. These findings can provide valuable data for pathogen identification in immunodeficient or gene knockout mice.

Objective To isolate pathogenic bacteria from the skin of a nude mouse exhibiting squamous skin scurfs, and perform bacterial identification, traceability analysis, and pathogenicity studies to provide a new approach for the diagnosis of pathogens in nude mice with squamous skin scurfs. MethodsSkin swab samples were collected from a nude mouse exhibiting squamous skin scurfs for nucleic acid testing, bacterial isolation and culture, biochemical identification, 16S rDNA gene amplification and sequencing, and whole genome sequencing to construct a phylogenetic tree. Fifteen BALB/c nude mice were randomized into a saline-treated control group, a high-concentration group treated with 1.8×10⁸ CFU/mL of the isolated bacterial suspension, and a low-concentration group treated with 1.8×10⁷ CFU/mL of the isolated bacterial suspension. Pathogenicity was assessed by animal infection experiments and observation of histopathological changes in skin tissue using HE staining. Results The nucleic acid test for Corynebacterium bovis was negative, excluding infection by this organism. The pathogen isolated on mannitol salt agar and blood agar, combined with Gram staining, suggested a Gram-positive Staphylococcus species. The isolated strain was identified by 16S rDNA sequencing and a fully automated microbial identification system as Staphylococcus xylosus. Phylogenetic tree analysis based on whole genome sequencing showed that the strain was most closely related to an isolate from leafy vegetables in South Korea (GenBank GCA_00207825.1). In the high-concentration group, squamous skin scurfs appeared on the head, neck, and back of nude mice on the 17th day post-infection, while in the low concentration group, similar symptoms appeared on the 20th day post-infection and gradually spread to other areas. The scaling symptoms were transient, lasting for 7 days in the high-concentration group and 3 days in the low-concentration group, after which the skin returned to normal. The infection rate was 33.33% in both the high- and low-concentration groups. No significant pathological changes were observed in the skin tissues of infected mice compared to the control group, indicating marked individual differences in the pathogenicity of the strain in nude mice. Conclusion A strain of Staphylococcus xylosus was isolated from the skin of a nude mouse exhibiting squamous skin scurfs. The strain is an opportunistic pathogen that causes transient squamous skin scurfs without significant histopathological changes, and there are individual differences in the sensitivity of nude mice to this strain. These findings can provide valuable data for pathogen identification in immunodeficient or gene knockout mice.

BACKGROUND: Neuroticism has been associated with numerous health outcomes. However, most research has focused on a single specific disorder and has produced controversial results, particularly regarding mortality risk. Here, we aimed to examine the association of neuroticism with morbidity and mortality and to elucidate how neuroticism affects trajectories from a healthy state, to one or more neuroticism-related disorders, and subsequent mortality risk. METHODS: We included 483,916 participants from the UK Biobank at baseline (2006-2010). Neuroticism was measured using the Eysenck Personality Questionnaire. Three clusters were constructed, including worry, depressed affect, and sensitivity to environmental stress and adversity (SESA). Cox proportional hazards regression and multistate models were used. Linear regression was used to examine the association between neuroticism and immune parameters and neuroimaging measures. RESULTS: High neuroticism was associated with 37 non-overlapping diseases, including increased risk of infectious, cardiometabolic, neuropsychiatric, digestive, and respiratory diseases, and decreased risk of cancer. After adjustment for sociodemographic variables, physical measures, healthy behaviors, and baseline diagnoses, moderate-to-high neuroticism was associated with a decreased risk of all-cause mortality. In multistate models, high neuroticism was associated with an increased risk of transitions from a healthy state to a first neuroticism-related disease (hazard ratio [HR] [95% confidence interval (CI)] = 1.09 [1.05-1.13], P  <0.001) and subsequent transitions to multimorbidity (1.08 [1.02-1.14], P  = 0.005), but was associated with a decreased risk of transitions from multimorbidity to death (0.90 [0.84-0.97], P for trend = 0.006). The leading neuroticism cluster showing a detrimental role in the health-illness transition was depressed affect, which correlated with higher amygdala volume and lower insula volume. The protective effect of neuroticism against mortality was mainly contributed by the SESA cluster, which, unlike the other two clusters, did not affect the balance between innate and adaptive immunity. CONCLUSION This study provides new insights into the differential role of neuroticism in health outcomes and into new perspectives for establishing mortality prevention programs for patients with multimorbidity.
Humans ; Neuroticism/physiology* ; Male ; Female ; Middle Aged ; Aged ; Proportional Hazards Models ; Surveys and Questionnaires ; Adult ; Risk Factors

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

The survey on the hesitant status of rubella-containing vaccine (RCV) vaccination was conducted among 2 141 women of childbearing age in four provinces, Liaoning, Jiangsu, Zhejiang, and Anhui, from May 2017 to March 2018. Among the 2 141 study participants, a total of 38.21% (818) of women of childbearing age were aware of rubella and 21.25% (455) of women of childbearing age knew about RCV. Among the 455 women of childbearing age who were aware of RCV, 262 (57.58%) were willing to be vaccinated with RCV; 304 women of childbearing age (66.81%) tended to be vaccinated with RCV free of charge. Among the 193 women of childbearing age who did not want to be vaccinated or did not decide whether they preferred to be vaccinated with RCV, no one around them was vaccinated (89, 46.11%) and fear of vaccine safety (70, 36.27%) were the main reasons for hesitation to receive RCV.

The survey on the hesitant status of rubella-containing vaccine (RCV) vaccination was conducted among 2 141 women of childbearing age in four provinces, Liaoning, Jiangsu, Zhejiang, and Anhui, from May 2017 to March 2018. Among the 2 141 study participants, a total of 38.21% (818) of women of childbearing age were aware of rubella and 21.25% (455) of women of childbearing age knew about RCV. Among the 455 women of childbearing age who were aware of RCV, 262 (57.58%) were willing to be vaccinated with RCV; 304 women of childbearing age (66.81%) tended to be vaccinated with RCV free of charge. Among the 193 women of childbearing age who did not want to be vaccinated or did not decide whether they preferred to be vaccinated with RCV, no one around them was vaccinated (89, 46.11%) and fear of vaccine safety (70, 36.27%) were the main reasons for hesitation to receive RCV.

Objective To investigate the impact of social psychological factors on adherence among subjects with chronic diseases during the early phase of new drug clinical trials and propose strategies to optimize trial outcomes.Methods Between December 2020 to December 2023,observational datas were collected from subjects participating in new drug clinical trials in the Frist Hospital of Jiaxing,including customized sociodemographic informations,Eysenck personality questionnaire(EPQ)survey results,symptom checklist 90(SCL-90)scores,Beck anxiety inventory(BAI)scores,Beck depression inventory(BDI)scores.The SCL-90 was further categorized into ten factor scores,and the EPQ was evaluated based on four dimensional standard T-scores.Univariate and multivariate Logistic regression analyses were conducted to identify the related factors.Results Univariate analyses showed that gender,willingness to go out,EPQ_T neuroticism,SCL-90,SCL somatic,SCL obsessive compulsive,SCL interpersonal,SCL depression,SCL anxiety,SCL psychoticism,SCL other,BAI scores,and BDI scores were associated with adherence in subjects with chronic diseases.Multivariate analysis confirmed that a higher willingness to go out,elevated BAI and BDI scores were positively associated with non-adherence risk,whereas an increase in the SCL-90 somatization factor scores were inversely related to adherence risk in subjects with chronic diseases.Conclusion Identifying and managing anxiety and depression among subjects with chronic diseases,as well as understanding their outdoor plans,are crucial for enhancing adherence during the early stages of new drug clinical trials.In certain instances,subjects with chronic diseases heightened awareness of bodily discomfort may paradoxically promote adherence.

Objective:To investigate the safety of tocilizumab (TCZ) in the treatment of children with systemic juvenile idiopathic arthritis (sJIA).Methods:Data of children aged 2 to 18 years with the diagnosis of sJIA and treated with TCZ from June 1, 2017 to June 30, 2022 at our hospital were retrospectively collected. The clinical medication characteristics, incidence, severity and outcome of adverse drug reactions (ADR) were statistically analyzed. Univariate and multivariate analysis were used to analyze the risk factors of TCZ-induced ADR. Univariate comparison between groups were compared to the measured data followed by t test for normal distribution, and the counting data were paired with Chi-square test. Binary logistic regression analysis was used for multivariate analysis. Results:A total of 83 eligible children were enrolled. The age at TCZ initiation was (8.5±3.7) years old. Most of the children received oral glucocorticoid (86.8%) and/or methotrexate (72.3%) prior to TCZ treatment. The mean time of TCZ duration was (1.2±0.9) years, the total TCZ exposure was 92.70 patient years. Fifty-five (66.3%) children reported 123 ADR, with a rate of 132.69/100 patient years. Forty-two (50.6%) children reported 103 general ADR, with a rate of 111.11/100 patient years. Eighteen (21.7%) children reported 20 serious ADR, with a rate of 21.57/100 patient years. The results of univariate analysis showed that the dosage of glucocorticoid in ADR group was higher than that in non-ADR group [(0.76±0.50) mg·kg -1·d -1vs. (0.52±0.41) mg·kg -1·d -1, t=2.27, P=0.026], and the difference was statistically significant. However, there were no significant differences in gender [(male 23, female 32) cases vs. (male 9, female 19) cases, χ2=0.73, P=0.392], age at TCZ initiation [(8.5±3.8) years old vs. (9.0±3.1) years old, t=-0.65, P=0.516], duration of TCZ treatment [(1.24±1.00) years vs. (1.05±0.90) years, t=0.87, P=0.385], methotrexate doses weekly [(8.0±5.2) mg/m 2vs. (7.6±5.1) mg/m 2, t=0.39, P=0.696], and history of drug or food allergy (11 cases vs. 5 cases, χ2=0.06, P=0.815) between the two groups. The results of binary logistic regression analysis showed that the combined use of oral glucocorticoids was an independent risk factor for TCZ-induced ADR [ OR (95% CI) =3.05 (1.11, 8.36), P=0.030]. The risk of ADR was 3.05 times higher in the combined daily dose of glucocorticoids ≥0.76 mg/kg prednisone equivalent than that of < 0.76 mg/kg. Common general ADR to TCZ include infections (38.83/100 patient years) and abnormalities in laboratory parameters (37.76/100 patient years) such as elevated glutamic-pyrupiane transaminase (18.34/100 patient years), dyslipidemia (12.94/100 patient years), and hemocytopenia (5.39/100 patient years). The serious ADR included serious infection (9.71/100 patient years) and serious infusion reaction(7.55/100 patient years). All ADR were improved after drug withdrawal or symptomatic treatment, and no deaths occurred. Conclusion:TCZ has a good safety profile in the treatment of sJIA. Serious infections and severe infusion reactions often lead to discontinuation of the drug. The combination of glucocorticoids≥0.76 mg/kg prednisone equivalent is an independent risk factor for TCZ-induced ADR. Monitoring should be strengthened during the application of TCZ, and ADR should be detected and treated as early as possible to reduce the risk of medication related adverse reactions.

Objective To establish and evaluate a method for rapid and sensitive S.xylosus detection using qPCR(real-time quantitative PCR).Methods A gehM gene fragment was selected as the target for S.xylosus.A set of specific primers was synthesized and a qPCR method was established to detect S.xylosus.A S.xylosus standard strain and other non-target strains were chosen for analysis.DNA of S.xylosus was diluted 10-fold to determine its sensitivity.Clinical samples were tested,and positive products were sequenced.The result were compared with those of bacterial culture.Results S.xylosus had a specific amplification curve,whereas other non-S.xylosus species did not,indicating that the primers were specific for S.xylosus.Sensitivity was 100 fg/μL DNA.Repeatability within and between groups was less than 3％.A total of 60 clinical samples were analyzed,of which five samples had a typical S curve.qPCR products were sequenced and BLAST searched.The similarity of the gene sequences was 99.63％,indicating that the sample was positive for the S.xylosus gehM gene with a positivity rate of 8.3％.However,the positivity rate of bacterial culture was 6.7％.The positivity rate of qPCR was slightly higher than that of the culture.Conclusions The established qPCR method is rapid with high sensitivity and specificity,and can be used to detect S.xylosus.