Objective:To summarize the clinical symptoms of cyclic vomiting syndrome（CVS）in children and investigate its association with small intestinal bacterial overgrowth（SIBO）.Methods:A total of 89 children who were diagnosed as CVS and improved lactulose hydrogen breath test (LHBT) in the Pediatric Department of Beijing Tsinghua Changgung Hospital from June 2020 to June 2023 were selected as CVS group.Simultaneously，50 healthy children with physical examination in our hospital were selected as the control group. According to the results of LHBT,the children with CVS were divided into SIBO group (LHBT positive) and non-SIBO group (LHBT negative). The clinical data of children in each group were compared.Results:Among the 89 CVS patients，there were 42 males and 47 females，with a mean age of（7.50±3.54）years.Common accompanying symptoms included excessive sleepiness（76 cases，85.39%），anorexia(62 cases，69.66%），constipation（55 cases，61.80%），abdominal pain（34 cases,38.20%）and so on. There were no significant differences in age and gender between children in CVS group and control group ( P>0.05). The body mass index of CVS group was lower than that of control group.The positive rate of LHBT was higher than that of the control group (56.18% vs. 8.00%),the difference was statistically significant ( P<0.05),and the concentrations of hydrogen and methane in CVS group were higher than those of the control group at different time points( P<0.05).Among 89 children with CVS,there were 50 cases in SIBO group and 39 cases in non-SIBO group. There were no significant differences in gender,age and body mass index between the two groups ( P>0.05). The constipation rate and moderate/severe disease rate in SIBO group were higher than those in non-SIBO group (88.00% vs. 28.21%,94.00% vs. 43.59%),and the differences were statistically significant ( P<0.05). Conclusion:The incidence of SIBO in children with CVS is higher,and SIBO may play a key role in CVS. CVS children with SIBO have higher disease severity.

Objective:To assess the nutritional status and risk of children with cyclic vomiting syndrome（CVS）and to provide a clinical evidence for nutritional support.Methods:A total of 160 children diagnosed with CVS and 160 healthy controls were prospectively enrolled in the study，who were admitted to Beijing Tsinghua Changgung Hospital from April 2021 to February 2024.Nutritional status was assessed by anthropometric indices（height，weight，and body mass index），and it was expressed in standard deviation score（Z score）.Nutritional risk screening tool STRONGkids was applied to nutritional risk screening，and the laboratory assessment（albumin，pre-albumin，hemoglobin，urea nitrogen and creatinine）were measured.Results:Among the 160 cases，there were 73 males and 87 females，including 18 cases of mild seizures and 142 cases of moderate and severe seizures，with the average onset age of（47.54±2.96）months and an average diagnosis age of（74.89±3.68）months.The average duration from the first attack to diagnosis was（27.35±2.36）months，and the average course of the disease was（41.35±2.63）months.The malnutrition rate of children in CVS was 36.9%（59/160），of which 18.1%（29/160）was severely malnourished.There was a statistically significant difference in the weight-for-age Z-score（WAZ），height-for-age Z-score（HAZ），and body mass index-for-age Z-score（BAZ）between the CVS group and the control group（ P<0.001）.We found a statistically significant difference in laboratory indicators（albumin，pre-albumin，hemoglobin，urea nitrogen and creatinine）between the two groups（all P<0.001）and hemoglobin was positively correlated with WAZ，HAZ and BAZ（ r=0.346,0.250,0.277，all P<0.01）.Using the STRONGkids nutritional risk screening tool，there were 43 cases with moderate nutritional risk and 117 cases with high nutritional risk，and children with high nutritional risk were likely to have lower WAZ，HAZ and BAZ than the children with moderate nutritional risk，and there was a significant difference in WAZ，HAZ，BAZ，hemoglobin，and creatinine between the two groups（ P<0.05）.And there was a correlation between the degree of CVS attack and nutritional risk grouping（ r=0.543， P<0.001）. Conclusion:Children with CVS have a high incidence of malnutrition，and the serum albumin，prealbumin，hemoglobin，urea nitrogen and creatinine levels are of great value for nutritional assessment.The STRONGkids score method helps to evaluate nutritional risk in children with CVS.

Objective To observe the value of intratumoral and peritumoral CT radiomics for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.Methods Totally 284 cases of pathologically confirmed lung adenocarcinoma with mixed ground glass nodules were retrospectively enrolled,among them 197 cases were taken as training set(54 cases with high and 143 cases with low Ki-67 expression)and 87 cases as validation set(27 cases with high and 60 cases with low Ki-67 expression).Intratumoral and peritumoral radiomic features were obtained from non-contrast chest CT,and radiomic models for predicting Ki-67 expression in lung adenocarcinoma with mixed ground glass nodules were established using adaptive boosting,light gradient boosting machine(LightGBM)and multilayer perceptron algorithms based on intratumoral features,peritumoral features,as well as intratumoral+peritumoral features,respectively,and the optimal radiomics signature was selected according to the area under the receiver operating characteristic curve(AUC).Univariate and multivariate logistic regression analysis were performed to identify independent impact factors of Ki-67 expression level,and a clinical model was constructed,and the efficacy of the models were evaluated.Results Among radiomics models,LightGBMintratumoral+peritumoral model had the highest AUC(0.934 in training set and 0.845 in validation set),which were superior to that of clinical model(0.616 in training set and 0.684 in validation set)(both P＜0.05)Conclusion Intratumoral and peritumoral CT radiomics had good efficacy for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.

Aim To investigate the role of miR-130b-3p in regulating the USP47/NLRP3 inflammasome in airway remodeling associated with asthma and to explore its potential therapeutic value in asthma treat-ment.Methods An OVA-induced asthma mouse mod-el was established,and intervention with miR-130b-3p agomir was performed.Histological staining,quantita-tive real-time PCR,Western blot,immunofluorescence and flow cytometry were used to analyze the effects of miR-130b-3p on the expression of USP47,NLRP3,and related inflammatory factors,as well as the inflamma-some activity.Results miR-130b-3p was significantly downregulated in asthmatic mice,and its intervention significantly inhibited airway epithelial damage,inflam-matory cell infiltration,and collagen deposition.Addi-tionally,miR-130b-3p targeted USP47 and indirectly suppressed NLRP3 expression,leading to reduced in-flammasome activity and alleviated asthma-related in-flammatory responses.Conclusion miR-130b-3p re-duces asthma-related inflammatory responses by down-regulating USP47 expression and indirectly inhibiting NLRP3 inflammasome activity.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Aim To investigate the role of miR-130b-3p in regulating the USP47/NLRP3 inflammasome in airway remodeling associated with asthma and to explore its potential therapeutic value in asthma treat-ment.Methods An OVA-induced asthma mouse mod-el was established,and intervention with miR-130b-3p agomir was performed.Histological staining,quantita-tive real-time PCR,Western blot,immunofluorescence and flow cytometry were used to analyze the effects of miR-130b-3p on the expression of USP47,NLRP3,and related inflammatory factors,as well as the inflamma-some activity.Results miR-130b-3p was significantly downregulated in asthmatic mice,and its intervention significantly inhibited airway epithelial damage,inflam-matory cell infiltration,and collagen deposition.Addi-tionally,miR-130b-3p targeted USP47 and indirectly suppressed NLRP3 expression,leading to reduced in-flammasome activity and alleviated asthma-related in-flammatory responses.Conclusion miR-130b-3p re-duces asthma-related inflammatory responses by down-regulating USP47 expression and indirectly inhibiting NLRP3 inflammasome activity.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Objective To study the characteristics of intestinal flora between diarrhea-predominant irritable bowel syndrome(IBS-D)and healthy population,and to provide a clinical basis for the basic research of IBS-D.Methods A total of 32 IBS-D patients admitted to Wenzhou People's Hospital,the Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University from January 2023 to June 2024 were selected as IBS-D group,and 33 healthy during the same period as control group.Cluster diversity was determined by 16S rDNA of clusters in feces and quantification of DNA.Results The diversity of IBS-D group decreased significantly than control group,and the relative abundance of proteobacteria increased in the IBS-D group,and the relative abundance of E.coli-Shigella and Klebsiella increased in the IBS-D group.Conclusion Intestinal microbiota diversity in IBS-D patients reduced and proteobacteria is the potential pathogen of IBS-D.

Objective To observe the value of intratumoral and peritumoral CT radiomics for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.Methods Totally 284 cases of pathologically confirmed lung adenocarcinoma with mixed ground glass nodules were retrospectively enrolled,among them 197 cases were taken as training set(54 cases with high and 143 cases with low Ki-67 expression)and 87 cases as validation set(27 cases with high and 60 cases with low Ki-67 expression).Intratumoral and peritumoral radiomic features were obtained from non-contrast chest CT,and radiomic models for predicting Ki-67 expression in lung adenocarcinoma with mixed ground glass nodules were established using adaptive boosting,light gradient boosting machine(LightGBM)and multilayer perceptron algorithms based on intratumoral features,peritumoral features,as well as intratumoral+peritumoral features,respectively,and the optimal radiomics signature was selected according to the area under the receiver operating characteristic curve(AUC).Univariate and multivariate logistic regression analysis were performed to identify independent impact factors of Ki-67 expression level,and a clinical model was constructed,and the efficacy of the models were evaluated.Results Among radiomics models,LightGBMintratumoral+peritumoral model had the highest AUC(0.934 in training set and 0.845 in validation set),which were superior to that of clinical model(0.616 in training set and 0.684 in validation set)(both P＜0.05)Conclusion Intratumoral and peritumoral CT radiomics had good efficacy for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.

Objective:To summarize the clinical symptoms of cyclic vomiting syndrome（CVS）in children and investigate its association with small intestinal bacterial overgrowth（SIBO）.Methods:A total of 89 children who were diagnosed as CVS and improved lactulose hydrogen breath test (LHBT) in the Pediatric Department of Beijing Tsinghua Changgung Hospital from June 2020 to June 2023 were selected as CVS group.Simultaneously，50 healthy children with physical examination in our hospital were selected as the control group. According to the results of LHBT,the children with CVS were divided into SIBO group (LHBT positive) and non-SIBO group (LHBT negative). The clinical data of children in each group were compared.Results:Among the 89 CVS patients，there were 42 males and 47 females，with a mean age of（7.50±3.54）years.Common accompanying symptoms included excessive sleepiness（76 cases，85.39%），anorexia(62 cases，69.66%），constipation（55 cases，61.80%），abdominal pain（34 cases,38.20%）and so on. There were no significant differences in age and gender between children in CVS group and control group ( P>0.05). The body mass index of CVS group was lower than that of control group.The positive rate of LHBT was higher than that of the control group (56.18% vs. 8.00%),the difference was statistically significant ( P<0.05),and the concentrations of hydrogen and methane in CVS group were higher than those of the control group at different time points( P<0.05).Among 89 children with CVS,there were 50 cases in SIBO group and 39 cases in non-SIBO group. There were no significant differences in gender,age and body mass index between the two groups ( P>0.05). The constipation rate and moderate/severe disease rate in SIBO group were higher than those in non-SIBO group (88.00% vs. 28.21%,94.00% vs. 43.59%),and the differences were statistically significant ( P<0.05). Conclusion:The incidence of SIBO in children with CVS is higher,and SIBO may play a key role in CVS. CVS children with SIBO have higher disease severity.