ObjectiveTo study the correlations between traditional Chinese medicine （TCM） syndromes and lipid metabolism in children with Wilson disease （WD）. MethodsClinical data and lipid metabolism indicators ［total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， apolipoprotein A1 （ApoA1）， apolipoprotein B （ApoB）， and lipoprotein a （Lpa）］ were retrospectively collected from 341 children with WD. The clinical data were compared among WD children with different syndromes， and the correlations between TCM syndromes and lipid metabolism in children with WD were analyzed. Least absolute shrinkage and selection operator （LASSO） regression was used for variable screening， and unordered multinomial Logistic regression was employed to analyze the effects of lipid metabolism indicators on TCM syndromes. ResultsThe 341 children with WD included 121 （35.5%） children with the dampness-heat accumulation syndrome， 103 （30.2%） children with the liver-kidney Yin deficiency syndrome， 68 children with the combined phlegm and stasis syndrome， 29 children with the spleen-kidney Yang deficiency syndrome， and 20 children with the liver qi stagnation syndrome. The liver-kidney Yin deficiency syndrome， combined phlegm and stasis syndrome， and spleen-kidney Yang deficiency syndrome had correlations with the levels of lipid metabolism indicators （P<0.05）. Lipid metabolism abnormalities occurred in 232 （68.0%） children， including hypertriglyceridemia （108）， hypercholesterolemia （23）， mixed hyperlipidemia （67）， lipoprotein a-hyperlipoproteinemia （12）， and hypo-HDL-cholesterolemia （22）. The percentages of hypertriglyceridemia and hypo-HDL-cholesterolemia varied among children with different TCM syndromes （P<0.05）. Correlations existed for the liver-kidney Yin deficiency syndrome with TG， TC， and HDL-C， the combined phlegm and stasis syndrome with TG， the spleen-kidney Yang deficiency syndrome with TG， TC， and LDL-C， and the liver Qi stagnation syndrome with TC and LDL-C （P<0.05， P<0.01）. ConclusionThe TCM syndromes of children with WD are dominated by the dampness-heat accumulation syndrome and the liver-kidney Yin deficiency syndrome， and dyslipidemia in the children with WD is dominated by hypertriglyceridemia and mixed hyperlipidemia. There are different correlations between TCM syndromes and lipid metabolism indicators， among which TG， TC， LDL-C， and HDL-C could assist in identifying TCM syndromes in children with WD.

Objective: The study aimed to analyze the association between different types of obesity and dyslipidemia among rural primary and middle school students in Zhejiang Province, so as to inform strategies for prevention and control of childhood obesity and hyperlipidemia. Methods: As part of Nutrition Improvement Programme for Rural Compulsory Education Students, 1 244 participants were selected by stratified cluster random sampling in 5 counties of Zhejiang Province during September to December 2021. Physical examination, detection of blood lipid and questionnaire survey were conducted. The Chi -square test and Logistic regression analyses were used to assess the association between different types of obesity and dyslipidemia. Results: The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia were 15.11%, 12.46%, 17.60%, and 21.78%. Obesity and abdominal obesity were correlated to high risk of high triglycerides ( OR =3.97, 95% CI =2.54-6.20; OR =4.45, 95% CI =2.95- 6.72 )( P <0.05). Compared with the non overweight and obese group with normal waist circumference,the overweight and obesity group were correlated to high risk of high cholesterol ( OR=2.53, 95%CI =1.45-4.42, P <0.05). Abdominal overweight or obese group had the highest risk for dyslipidemia and triglycerides ( OR =1.82, 95% CI =1.33-2.48; OR =3.64, 95% CI =2.45-5.43) ( P < 0.05). Conclusions The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia are relatively high in rural primary and middle school students of Nutrition Improvement Programme for Rural Compulsory Education Students in Zhejiang Province. Abdominal obesity is a more important risk factor for hyperlipidemia. Waist circumference should be the focus of considerable attention.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Objective:To compare the awakening effects of enriched environmental quantitative stimulation and conventional rehabilitation on patients with consciousness disorder after traumatic brain injury (TBI).Methods:A retrospective cohort study was conducted to analyze the clinical data of 60 patients with consciousness disorder after TBI admitted to Hospital of Zhejiang Provincial Armed Police Corps from October 2021 to October 2022, including 38 males and 22 females, aged 26-72 years [(41.6±13.2)years]. The injury was located at the frontal and temporal lobe in 37 patients, at the brain stem in 9, and at the thalamus in 14. The types of injury included cerebral contusion and laceration in 36 patients and intracerebral hematomas in 24 patients. The Glasgow Coma Scale (GCS) score on admission was 5-8 points in 11 patients, 9-12 in 34, and 13-15 in 15. Disease course was (19.2±5.4)days. A total of 30 patients received conventional rehabilitation treatment (conventional rehabilitation group) and 30 patients received enriched environmental quantitative stimulation on the basis of conventional rehabilitation treatment, which lasted 4 cycles in 28 days (quantitative stimulation group). The Coma Recovery Scale-Revised (CRS-R) score, Activities of Daily Living (ADL) score, and brainwave α/δ ratio (ADR) before treatment and at the second and fourth treatment cycles were compared between the two groups. The incidence of complications at the end of the fourth treatment cycle and the rate of favorable outcome of Glasgow Outcome Scale (GOS) at the last follow-up were compared between the two groups.Results:All the patients were followed up for 6-12 months [(8.3±2.5)months]. There were no significant differences in CRS-R score, ADL score, or brainwave ADR between the two groups before treatment ( P>0.05). At the second treatment cycle, they were (13.03±0.73)points, (14.83±0.95)points and 0.35±0.11 respectively in the quantitative stimulation group, which were all higher than those in the conventional rehabilitation group [(11.18±0.14)points, (8.74±0.43)points and 0.29±0.09 respectively] ( P<0.05). At the fourth treatment cycle, they were (17.83±0.23)points, (52.93±10.75)points and 0.44±0.11 respectively in the quantitative stimulation group, which were all higher than those in the conventional rehabilitation group [(13.67±0.35)points, (40.56±7.15)points and 0.37±0.07 respectively] ( P<0.05). The CRS-R score, ADL score, and brainwave ADR at the second treatment cycle were significantly higher than those before treatment, and they were even higher at the fourth treatment cycle than those at the second treatment cycle ( P<0.05). At the end of the fourth treatment cycle, the incidence of complications in the quantitative stimulation group was 13.3% (4/30), which was lower than that of the conventional rehabilitation group [36.7% (11/30)] ( P<0.05). At the last follow-up, the favorable outcome rate of GOS was 80.0% (24/30) in the quantitative stimulation group, which was superior to 66.7% (20/30) in the conventional rehabilitation group ( P<0.05). Conclusion:Compared with the conventional rehabilitation treatment, enriched environmental quantitative stimulation for patients with consciousness disorder after TBI achieves enhanced consciousness level, activity of daily life and electroencephal reactivity, together with decreased incidence of complications and improved prognosis.

Objective To analyze the composition of the aqueous extract of Polygonatum Cyrtonema Hua(PCHE)and evaluate its antitumor activity in vitro and in vivo.Our aim is to provide a theoretical basis for the further development and utilization of Polygonatum Cyrtonema Hua.Methods(1)PCHE was prepared by aqueous extraction,and the chemical composition of PCHE was analyzed by UPLC-Q-TOF/MS and phenol-sulfuric acid method.The inhibitory activity on tumor cells proliferation of PCHE was detected by CCK-8 assay.Cell cycle and apoptosis were detected by flow cytometry,and the expression of apoptosis-related proteins Bcl-2 and Bax was detected by Western Blot.The inhibitory activity of PCHE-containing serum on cell proliferation was detected.(2)A B16 tumor-bearing mice model was constructed and model mice were randomly divided into the model group(saline),the positive drug group(CTX:50 mg·kg-1),and PCHE low-,medium-,and high-dose groups(55.9,111.8,223.6 mg·kg-1),and treated by gavage for 7 days.Changes in body weight and tumor volume of mice were observed during the treatment period.The mice were executed after the treatment,and the histopathological changes of heart,liver,spleen,lung,kidney and tumor were observed by hematoxylin-eosin(HE)staining.The protein expression of Bcl-2 and Bax in tumor tissues was detected by immunohistochemistry(IHC).Results The polysaccharide content of PCHE reached(10.07±1.3)%,and the flavonoid content was(0.044±0.004)%,and thirty-nine components were detected by UPLC-Q-TOF/MS,which contained antitumor components such as flavonoids(baicalein,quercetin,luteolin and rutin),organic acids(ferulic acid)and polyphenols(gallic acid),etc.PCHE exhibited the inhibitory effects on Hela,A549,4T1,B16,MFC and HepG2 cells,among which the inhibitory effect on B16 cells was the most significant(P＜0.001),and PCHE induced cell cycle arrest at G0/G1 phase in B16 cells(P＜0.001).The results of double-staining flow cytometry and Western Blot showed that PCHE significantly promoted apoptosis of B16 cells,decreased the expression of Bcl-2,and promoted the expression of Bax(P＜0.01,P＜0.001).and PCHE constituents absorbed into blood also had an inhibitory effect on B16 cells(P＜0.001).In addition,the results of in vivo activity assay showed that different doses of PCHE could inhibit tumor growth,induce tumor cell necrosis,reduce Bcl-2 expression,and increase Bax expression compared with the model group.Conclusion The ingredients in PCHE are abundant.It contains a variety of antitumor active ingredients,which can inhibit tumor growth,induce tumor cell apoptosis,show strong anti-tumor effects and be worthy of in-depth study.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective: To understand current status and related factors of breakfast among primary and secondary school students in Zhejiang Province, so as to provide a scientific basis for improving breakfast habits of primary and secondary school students. Methods: During May to November of 2023, 33 326 students from grade four to six of primary schools and grade one to two of secondary schools were selected from 90 counties and cities in Zhejiang Province by using the stratified cluster random sampling method. General information and breakfast consumption were collected by questionnaire. Multivariate Logistic regression was used to analyze the related factors of breakfast. Results: About 81.29% of the primary and secondary school students reported regular breakfast consumption. The rate of regular breakfast consumption was higher on the school days (92.23%) than on the weekends (85.17%), and higher in primary school students (85.83%) compared to secondary school students (74.71%), with statistically significant differences ( χ 2=827.42, 655.03, P <0.01). About 49.19% of primary and secondary school students had their breakfast within 10 minutes or less, and 83.30% of primary and secondary school students had 3-5 food groups for breakfast. The proportions of students who consumed cereals and potatoes, milk, and eggs were respectively 18.76%, 28.85%, 14.63%. About 22.84%, 28.00 %, 32.60% and 32.23% of the students had no meat, soybeans, vegetables and fruits in their breakfast. The results of multivariate Logistic regression analysis showed that girls, rural area, secondary school, place of living (dormitory, others), migrant parent (one or both outside the hometown), late bedtime (22:00-22:59, 23:00 and later) and late wake up time (9:00 and later) on the weekends were positively correlated with no having breakfast every day ( OR=1.22, 1.40, 1.46, 1.20, 1.20, 1.34, 1.36, 1.41 , 3.51, 2.32, P <0.05). The time of physical activity per day (30-<60, 60-<90, 90-120, >120 min), bedtime (21:00-21:59, 22:00-22:59) and wake up time (6:00-6:59, 7:00-7:59) on school days were negatively correlated with no having breakfast every day ( OR=0.75, 0.64, 0.67, 0.64, 0.77, 0.82, 0.75, 0.67, P <0.05). Conclusions There is a considerable number of primary and secondary school students with irregular breakfast consumption, which are related to multiple factors. Therefore, it is necessary to strengthen nutrition education and improve the behavior of breakfast for primary and secondary school students.

Naturally derived metabolites are valuable resources for drug research and development, and play an important role in the treatment of diseases. As the "second genome" of the body, gut microbiota is rich in metabolic enzymes, which interacts with external substances such as drugs, thus affecting the progression of diseases. This article summarizes the interaction between gut microbiota-producing enzymes and natural medicines, and focuses on the impact of this interaction on disease progression, hoping to provide new ideas for the development and pharmacological mechanism of natural medicines.

Aim To observe the effects of Wenfei Jiangzhuo formula(WFJZF)on rats with vascular de-mentia and investigate its possible mechanism of ac-tion.Methods Thirty-six healthy male SD rats were randomly divided into the sham group,model group,donepezil group,and low-dose,medium-dose and high-dose groups of Wenfei Jiangzhuo formula,with six rats per group.Except for the sham group,the other groups were prepared as VaD models,and each group was gavaged with the corresponding drugs after suc-cessful modeling,and tests were performed after three weeks of treatment.Behavioral,hippocampal CA1 area morphology,neural dendrites and mitochondrial chan-ges were observed in all groups of rats,and phospho-glycerate mutase 5(PGAM5),dynamics-related pro-teins1(Drp1),opticatrophyprotein-1(OPA1),and other proteins were detected in each group.Results Compared with the sham group,rats in the model group and each intervention group had prolonged es-cape latency(P＜0.05),a shorter number of travers-als across the platforms(P＜0.05),a sparse morphol-ogy of hippocampal neurons,a reduction in the number of secondary dendritic spines,and a rupture of the out-er membrane of the mitochondria;the expression of the PGAM5 and Drp1 proteins in hippocampal tissues was elevated(P＜0.05),and the expression of the OPA1 and Mfn1/2 protein expression decreased(P＜0.05);compared with the model group,donepezil group and Wenfei Jiangzhuo formula high-dose group of rats had shorter evasion latency(P＜0.05),increased number of times to traverse the platform(P＜0.05),increased number of hippocampal neurons,tightly packed,more secondary dendritic structures,and reduced mitochon-drial damage;the expression of PGAM5 and Drp1 pro-teins was reduced(P＜0.05),and the expression of OPA1 and Mfn1/2 proteins was elevated(P＜0.05).Conclusions Wenfei Jiangzhuo formula can regulate the PGAM5-Drp1 signaling axis to improve the balance of mitochondrial homeostasis,thus improving the cog-nitive condition of the brain and exerting cerebroprotec-tive effects.

Objective To observe the impact of ultrasonic image quality on the consistency of artificial intelligence(Al)assisted diagnosis system and manual measurements of biological indicators of developmental dysplasia of hip(DDH).Methods Hip ultrasonic data of 75 DDH and 345 non-DDH children were retrospectively analyzed,and the quality of ultrasonic images were subjectively scored.An evaluation model of ultrasonic image quality was constructed based on 140 ultrasonic images acquired from 140 cases(group A,containing 25 DDH and 115 non-DDH)using entropy weighting method,the weight of anatomic structures and impact factors related to DDH were obtained.The comprehensive image quality scores of other ultrasonic images acquired from 280 cases(group B,including 50 DDH and 230 non-DDH)were calculated,and the images in group B were classified into grade A,B and C in descending order.The consistency of AI and manual measurements of DDH biological indicators in group B was assessed.Results The weight of each anatomic structure and impact factors of DDH obtained with the model were as follows:The lower edge of iliac branch＞ilium＞glenoid labrum＞bony margin＞femoral head＞motion artifacts.In group B,grade A was observed in 67(9 DDH and 58 non-DDH),grade B was found in 160(26 DDH and 134 non-DDH),while grade C was noticed in 53(15 DDH and 38 non DDH)images.Except for β,femoral head coverage(FHC)and femoral head length diameter,the consistencies between AI and manual measurements of other indicators of DDH were grade A＞B＞C.In group B,AI and manual measurements were more consistent in DDH than in non-DDH cases.Conclusion Ultrasonic image quality affected the consistency between AI and manual measurements of biological indicators of DDH.When image quality was not good enough,further attention should be paid to measurement of FHC and sizes of femoral head.