Objective:To analyze the nutritional development status and trends of preschool children aged 3-6 in Changping District,Beijing.Methods:The physical examination informations of preschool children aged 3-6 from over 180 kindergartens who participated in physical examinations in Maternal and Child Health Care Hospital of Changping District from 2021 to 2023 were collected retrospectively.The malnutrition,vision examination and dental caries of children with different ages across these years were compared.Results:A total of 135 215 children underwent physical examinations from 2021 to 2023,with 43 098 cases in 2021,45 985 cases in 2022,and 46 132 cases in 2023.Among them,there were 601 cases (0.44%) of malnutrition (including underweight,stunted growth,and wasting),and 13 512 cases (9.99%) of excessive nutrition (including overweight and obesity).The prevalence rates of overweight were 7.19%,5.56%,and 5.28% for the years 2021,2022,and 2023,respectively,with the highest rate in 2021; the obesity rates were 4.41%,3.79%,and 3.85% for the same years,also with the highest rate in 2021.The differences were statistically significant ( P<0.05).The analysis of overweight and obese children of different ages in 2021 showed that the highest rate of overweight was in 3-year-olds (8.33%, P<0.05),and the highest rate of obesity was in 6-year-olds (6.19%, P<0.05).The detection rates of dental caries were 51.97%,39.14%,and 49.68%; the total caries treatment rates were 39.39%,43.09%,and 47.34%,showing an increasing trend,with statistically significant differences ( P<0.05).From 2021 to 2023,the detection rates of vision abnormalities among children aged 4 to 6 were 4.93%,3.74%,and 3.71%,respectively; the vision correction rates were 68.71%,76.51%,and 86.27%,showing an increasing trend over the years,with statistically significant differences ( P<0.05). Conclusion:The issues of overweight/obesity,dental caries,and vision abnormalities remain significant among children aged 3-6 in Changping District,Beijing.There is a need for continued attention to the physical examinations of preschool children and to further strengthen the prevention and control of common diseases in preschoolers to ensure their healthy growth.

Objective To establish and validate the reference interval for serum anti-Müllerian hormone(AMH)in healthy women of childbearing age in Shenzhen using an indirect method based on mathematical statistics.Methods Collected the AMH data for women aged 21～50 in outpatient and physical examination populations in Shenzhen Maternity and Child Health Care Hospital from 2017 to 2023.Grouping by age range of five,first performed normality tested on each group of data,and used the interquartile range method to remove outliers for non-normal data.Then established reference intervals for AMH in different age groups through indirect method(Hoffmann method)and verified them.Compared with the reference interval of the reagent instructions and analyzed the correlation be-tween serum AMH levels and age.Results The correlation coefficient between serum AMH and age in women of childbearing age was-0.642,and the difference was statistically significant(P<0.001).The distribution of AMH levels among women in six age groups was compared,and the difference was statistically significant(H=28 392.655,P<0.05),and AMH levels showed a decreasing trend with age.The reference range of serum AMH at ages 21～25,26～30,31～35,36～40,41～45 and 46～50 yesrs were 0.92～11.30,0.68～9.43,0.38～7.51,0.12～6.93,<4.42 and<1.83ng/ml,respectively,and all reference intervals in each group had been validated.Compared to the age groups provided by the manufacturer,the age groups in this study are more refined,the reference range was narrower,and the interpretation of clinical and laboratory data was more accurate.Conclusion This study used Hoffmann's indirect method for the first time to establish a reference range for AMH in women aged 21～50 years in Shenzhen.The reference interval established is more in line with the actual situation and is a simple and reliable acquisition mode,suitable for promotion and wide application in clinical labo-ratories.

Objective:To investigate the relationship between nerve growth factor (NGF) concentration in follicular fluid and abnormal menstrual cycle in infertile patients with polycystic ovary syndrome (PCOS).Methods:A retrospective cohort study was conducted on 100 infertile patients with PCOS who underwent in vitro fertilization and embryo transfer (IVF-ET) at Department of Obstetrics and Gynecology, Peking University Third Hospital from March 2017 to June 2019. For comparison, the 100 patients with PCOS were divided into low NGF group ( n=50) and high NGF group ( n=50) based on the median NGF concentration (1 644.03 ng/L) in follicular fluid. Baseline characteristics, menstrual status and clinical outcomes of assisted reproductive technology were compared. We performed multiple linear regression analysis to examine the effect of NGF in follicular fluid on menstrual cycle length for multivariate analysis. Results:1) PCOS patients in the low NGF group had significantly higher body mass index [(27.24±5.17) kg/m 2] and white blood cell count [7.31(5.99, 8.43)×10 9/L ] than those in the high NGF group [(25.03±4.46) kg/m 2, P=0.024; 5.95(5.08,7.01)×10 9/L, P=0.001], while high-density lipoprotein cholesterol [1.15 (0.98, 1.36) mmol/L] and basic follicle-stimulating hormone level [6.51 (5.10,7.95) U/L] in the low NGF group were significantly lower than those in the high NGF group [1.36 (1.09,1.52) mmol/L, P=0.039;6.51 (5.10,7.95)U/L, P=0.040]. 2) PCOS patients in the low NGF group had significantly higher menstrual cycle length [60.00 (35.00, 180.00) d] than the high NGF group [32.50 (27.00,67.50) d, P=0.001]. 3) Multiple linear regression analysis revealed that after adjustment for body mass index, age, infertility duration, infertility type, and glucose and lipid metabolic parameters, the NGF concentration in the follicular fluid independently and negatively correlated with menstrual cycle length ( P<0.05). 4) The NGF concentration in follicular fluid was not correlated with assisted reproductive outcomes. Conclusion:NGF concentration in follicular fluid is closely related to the degree of menstrual cycle abnormalities in patients with PCOS.

Immune dysregulation is a critical factor in the pathogenesis of inflammatory bowel disease (IBD), and numerous studies have focused on the impact of immune cell metabolic pathways. Immune system cells dynamically adapt to the microenvironment, regulating the body's response to external stimuli through intricate metabolic pathways. This review summarizes the mechanisms by which glycolysis, fatty acid and amino acid metabolisms influence immune metabolism and thereby modulate IBD progression, offering new perspectives for the diagnosis and treatment of IBD.

Objective:To evaluate the characteristics of neutrophil extracellular traps (NET) in children with inflammatory bowel disease (IBD) and its role in diagnosis and disease activity monitoring.Methods:A total of 66 IBD children admitted to Beijing Children′s Hospital from December 2017 to August 2024 were enrolled in this cross-sectional study, another 20 age-matched children who underwent gastrointestinal endoscopy during the same period in the same hospital and showed no abnormalities were selected as the controls. Clinical data of IBD and control group were collected. Children with IBD were divided into active group and remission group according to clinical score and endoscopic score. The peripheral blood of IBD and control group were collected, and the levels of NET markers, including neutrophil elastase (NE) and myeloperoxidase (MPO)-DNA were detected by enzyme-linked immunosorbent assay. The levels of NET markers in control group and different IBD groups were compared. Independent sample t-test or Mann-Whitney U test was used for group comparisons. Kruskal-Wallis H test was used for multiple group comparisons. Spearman correlation analysis was used to analyze the correlation between NET markers and IBD activity. The efficacy of laboratory indicators in diagnosing IBD and control group was evaluated using receiver operating characteristic (ROC) curve. Results:There were 66 children with IBD, including 36 in Crohn′s disease group with the age of (11.0±3.7) years, and 30 in ulcerative colitis (UC) group with the age of (8.3±5.0) years. The control group consisted of 20 children with the age of (10.1±3.5) years. Compared with control group, the levels of NE (958 (771, 1 328) vs. 303 (196, 501) μg/L) and MPO-DNA (0.11 (0.09, 0.18) vs. 0.09 (0.06, 0.12)) in peripheral blood of IBD group were significantly higher (both P<0.05). However, there was no significant difference in the levels of NE (1 008 (863, 1 301) vs. 807 (567, 1 535) μg/L) and MPO-DNA (0.11 (0.09, 0.21) vs. 0.12 (0.09, 0.14)) between Crohn′s disease and UC groups (both P>0.05). The NE levels in the endoscopic active group and remission group of Crohn's disease were higher than those in the control group (both P<0.05). The MPO-DNA level in the endoscopic active group of Crohn's disease was higher than that in the control group ( P<0.05), while the MPO-DNA level in the endoscopic remission group of Crohn's disease was lower than that in the control group ( P>0.05). The NE levels in the endoscopic activity group and remission group of UC were higher than those in control group (both P<0.05). NET markers were not correlated with the clinical activity and endoscopic activity of IBD (all P>0.05). ROC curve analysis showed that the area under the curve of NE combined with MPO-DNA for distinguishing IBD from controls was 0.95, with a sensitivity was 90.0% and a specificity was 89.4%. Conclusion:The combination of NE and MPO-DNA demonstrated high sensitivity and specificity for distinguishing pediatric IBD patients from healthy children, suggesting its potential as a diagnostic biomarker panel of IBD.

This study summarizes the nursing experience of an elderly patient who developed Takotsubo syndrome following mitral valve replacement surgery.Key nursing points include:close monitoring of electrocardiogram and myocardial enzyme spectrum changes for early identification of Takotsubo syndrome;implementation of a multi-dimensional collaborative circulatory support strategy;establishment of a triadic psychological intervention model comprising"environment-communication-family support"to prevent the exacerbation of Takotsubo syndrome based on stressor management;application of multimodal early rehabilitation interventions to shorten mechanical ventilation duration.After meticulous treatment and care,the left ventricular ejection fraction(LVEF)of the patient improved to 46％on postoperative day 12.There were no occurrences of malignant arrhythmias or multiple organ dysfunction.On postoperative day 16,the patient was transferred to a general ward for continued specialized treatment,and on postoperative day 22,the patient was successfully discharged after rehabilitation.

Immune dysregulation is a critical factor in the pathogenesis of inflammatory bowel disease (IBD), and numerous studies have focused on the impact of immune cell metabolic pathways. Immune system cells dynamically adapt to the microenvironment, regulating the body's response to external stimuli through intricate metabolic pathways. This review summarizes the mechanisms by which glycolysis, fatty acid and amino acid metabolisms influence immune metabolism and thereby modulate IBD progression, offering new perspectives for the diagnosis and treatment of IBD.

Objective To establish and validate the reference interval for serum anti-Müllerian hormone(AMH)in healthy women of childbearing age in Shenzhen using an indirect method based on mathematical statistics.Methods Collected the AMH data for women aged 21～50 in outpatient and physical examination populations in Shenzhen Maternity and Child Health Care Hospital from 2017 to 2023.Grouping by age range of five,first performed normality tested on each group of data,and used the interquartile range method to remove outliers for non-normal data.Then established reference intervals for AMH in different age groups through indirect method(Hoffmann method)and verified them.Compared with the reference interval of the reagent instructions and analyzed the correlation be-tween serum AMH levels and age.Results The correlation coefficient between serum AMH and age in women of childbearing age was-0.642,and the difference was statistically significant(P<0.001).The distribution of AMH levels among women in six age groups was compared,and the difference was statistically significant(H=28 392.655,P<0.05),and AMH levels showed a decreasing trend with age.The reference range of serum AMH at ages 21～25,26～30,31～35,36～40,41～45 and 46～50 yesrs were 0.92～11.30,0.68～9.43,0.38～7.51,0.12～6.93,<4.42 and<1.83ng/ml,respectively,and all reference intervals in each group had been validated.Compared to the age groups provided by the manufacturer,the age groups in this study are more refined,the reference range was narrower,and the interpretation of clinical and laboratory data was more accurate.Conclusion This study used Hoffmann's indirect method for the first time to establish a reference range for AMH in women aged 21～50 years in Shenzhen.The reference interval established is more in line with the actual situation and is a simple and reliable acquisition mode,suitable for promotion and wide application in clinical labo-ratories.

Objective:To investigate the relationship between nerve growth factor (NGF) concentration in follicular fluid and abnormal menstrual cycle in infertile patients with polycystic ovary syndrome (PCOS).Methods:A retrospective cohort study was conducted on 100 infertile patients with PCOS who underwent in vitro fertilization and embryo transfer (IVF-ET) at Department of Obstetrics and Gynecology, Peking University Third Hospital from March 2017 to June 2019. For comparison, the 100 patients with PCOS were divided into low NGF group ( n=50) and high NGF group ( n=50) based on the median NGF concentration (1 644.03 ng/L) in follicular fluid. Baseline characteristics, menstrual status and clinical outcomes of assisted reproductive technology were compared. We performed multiple linear regression analysis to examine the effect of NGF in follicular fluid on menstrual cycle length for multivariate analysis. Results:1) PCOS patients in the low NGF group had significantly higher body mass index [(27.24±5.17) kg/m 2] and white blood cell count [7.31(5.99, 8.43)×10 9/L ] than those in the high NGF group [(25.03±4.46) kg/m 2, P=0.024; 5.95(5.08,7.01)×10 9/L, P=0.001], while high-density lipoprotein cholesterol [1.15 (0.98, 1.36) mmol/L] and basic follicle-stimulating hormone level [6.51 (5.10,7.95) U/L] in the low NGF group were significantly lower than those in the high NGF group [1.36 (1.09,1.52) mmol/L, P=0.039;6.51 (5.10,7.95)U/L, P=0.040]. 2) PCOS patients in the low NGF group had significantly higher menstrual cycle length [60.00 (35.00, 180.00) d] than the high NGF group [32.50 (27.00,67.50) d, P=0.001]. 3) Multiple linear regression analysis revealed that after adjustment for body mass index, age, infertility duration, infertility type, and glucose and lipid metabolic parameters, the NGF concentration in the follicular fluid independently and negatively correlated with menstrual cycle length ( P<0.05). 4) The NGF concentration in follicular fluid was not correlated with assisted reproductive outcomes. Conclusion:NGF concentration in follicular fluid is closely related to the degree of menstrual cycle abnormalities in patients with PCOS.

Accurate prediction of drug responses in cancer cell lines(CCLs)and transferable prediction of clinical drug responses using CCLs are two major tasks in personalized medicine.Despite the rapid advancements in existing computational methods for preclinical and clinical cancer drug response(CDR)prediction,chal-lenges remain regarding the generalization of new drugs that are unseen in the training set.Herein,we propose a multimodal fusion deep learning(DL)model called drug-target and single-cell language based CDR(DTLCDR)to predict preclinical and clinical CDRs.The model integrates chemical descriptors,mo-lecular graph representations,predicted protein target profiles of drugs,and cell line expression profiles with general knowledge from single cells.Among these features,a well-trained drug-target interaction(DTI)prediction model is used to generate target profiles of drugs,and a pretrained single-cell language model is integrated to provide general genomic knowledge.Comparison experiments on the cell line drug sensitivity dataset demonstrated that DTLCDR exhibited improved generalizability and robustness in predicting unseen drugs compared with previous state-of-the-art baseline methods.Further ablation studies verified the effectiveness of each component of our model,highlighting the significant contribution of target information to generalizability.Subsequently,the ability of DTLCDR to predict novel molecules was validated through in vitro cell experiments,demonstrating its potential for real-world applications.Moreover,DTLCDR was transferred to the clinical datasets,demonstrating satisfactory performance in the clinical data,regardless of whether the drugs were included in the cell line dataset.Overall,our results suggest that the DTLCDR is a promising tool for personalized drug discovery.