Objective: To explore the longitudinal associations between dietary macronutrients and lung function in schoolaged children, so as to provide the nutritional research evidence for promoting children s lung health. Methods: In November 2021, two primary schools located in Chengdu, Sichuan Province were selected from the Southwest China Childhood Nutrition and Growth (SCCNG) cohort by a stratified cluster random sampling method, enrolling a total of 1 112 school aged children aged 8 to 13 years. At baseline, the dietary and sociodemographic characteristics of the children were assessed. One year later, the forced vital capacity (FVC) of the children was measured and converted into Z scores (FVC- Z ), while the vital capacity index (VCI) was also calculated. Generalized linear regression analysis was employed to examine the associations between dietary macronutrients and lung function, considering interactions with gender and age, followed by stratified analysis. Results: After adjusting for confounding factors, the analysis results of the generalized linear regression model showed that the carbohydrate energy ratio was negatively correlated with FVC- Z ( β =-0.02) and VCI ( β =-0.16), while the fat energy ratio showed a positive correlation with FVC- Z ( β =0.03) and VCI ( β =0.23) ( P <0.05). The protein energy ratio was positively correlated with FVC- Z ( β =0.09) and VCI ( β =0.60) specifically in girls ( P <0.05). Additionally, there was an interaction effect of age on the associations between macronutrients and lung function ( P <0.01); in children aged 8-9 and 10-11, the carbohydrate energy supply ratio was negatively correlated with FVC- Z ( β =-0.04, -0.03) and VCI ( β =-0.29, -0.21), and fat energy supply ratio was positively correlated with FVC- Z ( β =0.07, 0.05) and VCI ( β =0.46, 0.32) ( P <0.05). Conclusions There are age and sex differences in the association of dietary macronutrients with lung function, with a low carbohydrate, high fat diet promoting lung function in children. Additionally, protein intake appears to have a positive influence on the lung function of girls. The early school age period may represent a critical window for dietary interventions aimed at promoting lung health.

Background/Aims: Obesity is associated with several gastrointestinal (GI) disorders and has been identified as a potential risk factor for various GI symptoms. Bowel frequency is an important indicator of bowel function. However, the causal link between obesity and gastrointestinal motility remains uncertain. This study aims to determine the causal effect of overall and central obesity on stool frequency. Methods: Four obesity-related anthropometric indicators–body mass index, body fat percentage, waist circumference (WC), and waist-tohip ratio (WHR)–were investigated. Individual-level baseline information from the UK Biobank was used to explore observational associations between obesity and stool frequency. Additionally, summary-level data from published genome-wide association studies were subjected to two-sample Mendelian randomization (MR) analyses to examine causal associations. Results: For all 4 indicators of obesity, higher levels of obesity were associated with more frequent bowel movements after adjusting for demographic characteristics, lifestyle, and dietary factors. After rigorous screening, 482 body mass index single nucleotide polymorphisms (SNPs), 7 body fat percentage SNPs, 48 WC SNPs, and 287 WHR SNPs were identified as instrument variables for MR analysis. The MR results were generally consistent with observational findings, proving that the associations observed in the overall obesity indicators were causal. For central obesity, the association between WHR and stool frequency remained consistent in both analysis phases, whereas WC showed a multidirectional association. Conclusions Obesity-related anthropometric indicators were causally associated with increased stool frequency in the overall and central obesity groups. Weight loss could be a potential approach to improve gastrointestinal regularity in individuals with obesity.

Background/Aims: Obesity is associated with several gastrointestinal (GI) disorders and has been identified as a potential risk factor for various GI symptoms. Bowel frequency is an important indicator of bowel function. However, the causal link between obesity and gastrointestinal motility remains uncertain. This study aims to determine the causal effect of overall and central obesity on stool frequency. Methods: Four obesity-related anthropometric indicators–body mass index, body fat percentage, waist circumference (WC), and waist-tohip ratio (WHR)–were investigated. Individual-level baseline information from the UK Biobank was used to explore observational associations between obesity and stool frequency. Additionally, summary-level data from published genome-wide association studies were subjected to two-sample Mendelian randomization (MR) analyses to examine causal associations. Results: For all 4 indicators of obesity, higher levels of obesity were associated with more frequent bowel movements after adjusting for demographic characteristics, lifestyle, and dietary factors. After rigorous screening, 482 body mass index single nucleotide polymorphisms (SNPs), 7 body fat percentage SNPs, 48 WC SNPs, and 287 WHR SNPs were identified as instrument variables for MR analysis. The MR results were generally consistent with observational findings, proving that the associations observed in the overall obesity indicators were causal. For central obesity, the association between WHR and stool frequency remained consistent in both analysis phases, whereas WC showed a multidirectional association. Conclusions Obesity-related anthropometric indicators were causally associated with increased stool frequency in the overall and central obesity groups. Weight loss could be a potential approach to improve gastrointestinal regularity in individuals with obesity.

OBJECTIVE To optimize the forming process of Yindan huoxue tongyu granules， and evaluate the quality of the granules. METHODS Taking forming rate， angle of repose， moisture， moisture absorption rate and dissolution rate as indexes， single factor experiment combined with Plackett-Burman design was adopted to screen key process parameters； analytic hierarchy process combined with entropy weight method and Box-Behnken response surface method were used to optimize the molding process of Yindan huoxue tongyu granules， and the forming process was verified. The relative homogeneity index， bulk density， vibration density， Hausner ratio， angle of repose， moisture and hygroscopicity were used as secondary physical indexes to establish the physical fingerprints of 10 batches of Yindan huoxue tongyu granules to evaluate particle quality consistency. RESULTS The optimal molding process of Yindan huoxue tongyu granules was as follows： mannitol as the fixed excipient， the drug-assisted ratio was 1∶1（m/m） and the drying time was 1 h； 90% ethanol was used as wetting agent and the amount of it was 32%， the drying temperature was 70 ℃. The results of validation tests showed that the average comprehensive score was 97.45， which was close to the predicted value of 97.18. The similarities between the physical fingerprints of 10 batches of Yindan huoxue tongyu granules prepared by the optimal molding process and the reference physical fingerprint were all higher than 0.99. CONCLUSIONS The molding process is stable and feasible， and the quality of Yindan huoxue tongyu granules produced is stable and controllable.

Background/Aims: Obesity is associated with several gastrointestinal (GI) disorders and has been identified as a potential risk factor for various GI symptoms. Bowel frequency is an important indicator of bowel function. However, the causal link between obesity and gastrointestinal motility remains uncertain. This study aims to determine the causal effect of overall and central obesity on stool frequency. Methods: Four obesity-related anthropometric indicators–body mass index, body fat percentage, waist circumference (WC), and waist-tohip ratio (WHR)–were investigated. Individual-level baseline information from the UK Biobank was used to explore observational associations between obesity and stool frequency. Additionally, summary-level data from published genome-wide association studies were subjected to two-sample Mendelian randomization (MR) analyses to examine causal associations. Results: For all 4 indicators of obesity, higher levels of obesity were associated with more frequent bowel movements after adjusting for demographic characteristics, lifestyle, and dietary factors. After rigorous screening, 482 body mass index single nucleotide polymorphisms (SNPs), 7 body fat percentage SNPs, 48 WC SNPs, and 287 WHR SNPs were identified as instrument variables for MR analysis. The MR results were generally consistent with observational findings, proving that the associations observed in the overall obesity indicators were causal. For central obesity, the association between WHR and stool frequency remained consistent in both analysis phases, whereas WC showed a multidirectional association. Conclusions Obesity-related anthropometric indicators were causally associated with increased stool frequency in the overall and central obesity groups. Weight loss could be a potential approach to improve gastrointestinal regularity in individuals with obesity.

This case report presents a 16-year-old male patient with deficiency of adenosine deaminase 2(DADA2). The patient had a history of Raynaud′s phenomenon with digital ulcers since childhood. As the disease progressed, the patient developed retinal vasculitis, intracranial hemorrhage, skin necrosis, severe malnutrition, refractory hypertension, and gastrointestinal bleeding. Genetic testing revealed compound heterozygous mutations in the ADA2 gene (paternal c.1072G > A pathogenic mutation + maternal c.1065C > A variant of unknown clinical significance). ADA2 enzyme activity was significantly reduced (0.1 U/L). A multidisciplinary treatment team developed an individualized plan to address key issues, including nutritional support, blood pressure control, rehabilitation, pain management, and balancing anticoagulation/bleeding risks. After systematic intervention, the patient′s condition showed partial improvement. This case reveals clinical challenges such as anticoagulation decisions and nutritional support of DADA2. It also emphasizes the importance of early molecular diagnosis, tumor necrosis factor-α inhibitor targeted therapy, and multidisciplinary collaboration in management, underlining the core value of precision medicine in rare disease management.

Using the liquid chromatography-tandem mass spectrometry (LC-MS/MS) to determine the plasma level of Lyso-GL3 in patients with Fabry disease and to analyze the clinical application of the method.

Objective:To explore the application value of laparoscopic contrast enhanced ultrasound in laparoscopic surgery for patients with hepatocellular carcinoma combined with cirrhosis.Methods:The clinical data of 71 patients with hepatocellular carcinoma combined cirrhosis from February 2018 to February 2020 in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively analyzed. The patients underwent preoperative enhanced CT and multi-parameter MRI examination, followed by laparoscopic partial hepatectomy, and intraoperative laparoscopic contrast enhanced ultrasound examination. Based on histological examination and follow-up results, the diagnostic efficacy of preoperative imaging and preoperative imaging combined with intraoperative laparoscopic contrast enhanced ultrasound in patients with hepatocellular carcinoma combined with cirrhosis was compared.Results:Among the 71 patients, 69 completed laparoscopic surgery and 2 converted to open surgery. One hundred and ten HCC lesions were diagnosed by preoperative imaging examination, 105 lesions were detected by intraoperative ultrasound among them, of which 98 lesions were diagnosed as HCC by intraoperative laparoscopic contrast enhanced ultrasound. There were no statistically significant difference in sensitivity, specificity, accuracy, positive predictive value and negative predictive value between preoperative imaging and preoperative imaging combined with intraoperative laparoscopic contrast enhanced ultrasound in the diagnosis of malignant liver lesions: 94.4% (102/108) vs. 99.1% (107/108), 81.0% (34/42) vs. 66.7% (28/42), 90.6% (136/150) vs. 90.0% (135/150), 92.7% (102/110) vs. 88.4% (107/121) and 85.0% (34/40) vs. 96.6% (28/29), P>0.05. Laparoscopic contrast enhanced ultrasound revealed an additional 11 suspected malignant lesions, of which 5 lesions were histologically confirmed as HCC. Seven patients underwent surgical strategy changes. Conclusions:Laparoscopic contrast enhanced ultrasound in patients with HCC combined with cirrhosis during laparoscopic surgery can be used to detect, identify, accurately locate of the lesions and modify the surgical plan.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Biological hydroxyapatite(BHA)is widely used in the treatment of clinical bone defects due to its good biocompatibility and osteoconductivity.The clinical application of mateiral size is based on the principle of bone defect area adaptation,which contributes to diversity of BHA sizes.However,different sizes correspond to different hierarchi-cal levels of bone biomimicry.As the size changes,the bone biomimicry hierarchy evolves accordingly and influences the process of bone repair and regeneration through osteo-coagulo-immunomodulation,leading to unstable bone graft outcomes.Therefore,this paper reviews the size effect of clinical BHA,analyzes the multilevel structure of natural bone,proposes the evolution of bone biomimetic hierarchy triggered by the size of BHA,and further analyzes the size-media-ted osteo-coagulo-immunomodulation.Based on the hierarchical levels of bone and its osteo-coagulo-immunomodula-tion effect,we provide a new understanding of the biolog-ical principle of the size effect of biomaterials and a theo-retical basis for the basic research and clinical application of different size BHA materials.