Objective: To explore the relationship between dietary behavior, dietary frequency and central precocious puberty (CPP) among children in Wuhan, so as to provide a scientific basis for elucidating the possible and related dietary factors leading to precocious puberty. Methods: From February to December 2023, 100 children with CPP and 100 healthy children were collected in Wuhan Children s Hospital for a case control study. Questionnaires and interviews were used to collect demographic information, child lifestyle, as well as dietary behavior and dietary frequency in the past six months. Conditional Logistic regression model was used to analyze the relationship of children s dietary behavior and dietary frequency with CPP. Results: No associations were found between three dietary behavior, including emotional eating, restrictive eating, and external eating, with CPP at baseline ( P >0.05). In the association analysis of dietary frequency and CPP, the risk of CPP was higher in those who consumed red meat >5 times/week ( OR =1.93, 95% CI =1.01-3.68), carbonated beverages ≥4 times/month ( OR =2.70, 95% CI =1.03-7.08), fruit juices ≥4 times/month ( OR =2.31, 95% CI =1.02-5.25), and nutritional supplementation ( OR =2.77, 95% CI =1.47- 5.22 ), whereas the risk of CPP was lower in those who consumed nuts ≥4 times/month ( OR =0.21, 95% CI =0.08-0.57) ( P < 0.05 ). Conclusion Consumption of higher amounts of red meat, high frequency of carbonated and juice based sugary drinks, and nutrient supplementation may be contributing factors to the development of CPP, whereas regular consumption of nuts is less likely to be associated with the development of CPP.

Objective:To investigate the association between gestational blood pressure and neurodevelopment in 2-year-old children.Methods:Based on the"Wuhan Healthy Baby Birth Cohort", 3 754 mother-infant pairs were enrolled in this study. Based on multiple blood pressure measurements during pregnancy, the mean, cumulative, and variability of blood pressure throughout the entire pregnancy and each trimester were calculated. Blood pressure variability was evaluated using standard deviation (SD), coefficient of variability (CV), and variability independent of mean (VIM). Follow-up testing of neurodevelopment in infants and young children at the age of two was conducted to obtain the Mental Development Index (MDI) and the Psychomotor Development Index (PDI). The multivariate linear regression and generalized estimation equation were used to analyze the association between gestational blood pressure data and neurodevelopmental index.Results:The age of 3 754 pregnant women was (29.1±3.6) years, with a pre-pregnancy BMI of (20.9±2.7) kg/m2 and a gestational age of (39.3±1.2) weeks. The birth weight of 3 754 children was (3 330.9±397.7) grams, and the birth length was (50.3±1.6) centimeters. The results of the multivariate linear regression analysis showed that after adjusting for relevant confounding factors, the mean blood pressure, cumulative blood pressure, standard deviation of blood pressure, coefficient of variation of blood pressure, independent blood pressure variability of systolic blood pressure, diastolic blood pressure, and pulse pressure throughout pregnancy were negatively associated with the MDI and PDI scores of 2-year-old children. The analysis results of the generalized estimation equation showed that after adjusting for relevant confounding factors, the average systolic blood pressure in the first, second, and third trimesters was negatively associated with MDI/PDI. The negative association between cumulative blood pressure and MDI/PDI was only found in the first trimester. The negative association between blood pressure variation during pregnancy and MDI/PDI was mainly concentrated in the second and third trimesters.Conclusion:There is a negative association between gestational blood pressure and the neurodevelopmental index of 2-year-old children.

Objective To propose a low-dose CT reconstruction algorithm across different scanners based on federated feature learning(FedCT)to improve the generalization of deep learning models for multiple CT scanners and protect data privacy.Methods In the proposed FedCT framework,each client is assigned an inverse Radon transform-based reconstruction model to serve as a local network model that participates in federated learning.A projection-domain specific learning strategy is adopted to preserve the geometry specificity in the local projection domain.Federated feature learning is introduced in the model,which utilizes conditional parameters to mark the local data and feed the conditional parameters into the network for encoding to enhance the generalization of the model in the image domain.Results In the cross-client,multi-scanner,and multi-protocol low-dose CT reconstruction experiments,FedCT achieved the highest PSNR(+2.8048,+2.7301,and +2.7263 compared to the second best federated learning method),the highest SSIM(+0.0009,+0.0165,and +0.0131 in the same comparison),and the lowest RMSE(-0.6687,-1.5956,and-0.9962).In the ablation experiment,compared with the general federated learning strategy,the model with projection-specific learning strategy showed an average improvement by 1.18 on Q1 of the PSNR and an average decrease by 1.36 on Q3 of the RMSE on the test set.The introduction of federated feature learning in FedCT further improved the Q1 of the PSNR on the test set by 3.56 and reduced the Q3 of the RMSE by 1.80.Conclusion FedCT provides an effective solution for collaborative construction of CT reconstruction models,which can enhance model generalization and further improve the reconstruction performance on global data while protecting data privacy.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Objective To propose a low-dose CT reconstruction algorithm across different scanners based on federated feature learning(FedCT)to improve the generalization of deep learning models for multiple CT scanners and protect data privacy.Methods In the proposed FedCT framework,each client is assigned an inverse Radon transform-based reconstruction model to serve as a local network model that participates in federated learning.A projection-domain specific learning strategy is adopted to preserve the geometry specificity in the local projection domain.Federated feature learning is introduced in the model,which utilizes conditional parameters to mark the local data and feed the conditional parameters into the network for encoding to enhance the generalization of the model in the image domain.Results In the cross-client,multi-scanner,and multi-protocol low-dose CT reconstruction experiments,FedCT achieved the highest PSNR(+2.8048,+2.7301,and +2.7263 compared to the second best federated learning method),the highest SSIM(+0.0009,+0.0165,and +0.0131 in the same comparison),and the lowest RMSE(-0.6687,-1.5956,and-0.9962).In the ablation experiment,compared with the general federated learning strategy,the model with projection-specific learning strategy showed an average improvement by 1.18 on Q1 of the PSNR and an average decrease by 1.36 on Q3 of the RMSE on the test set.The introduction of federated feature learning in FedCT further improved the Q1 of the PSNR on the test set by 3.56 and reduced the Q3 of the RMSE by 1.80.Conclusion FedCT provides an effective solution for collaborative construction of CT reconstruction models,which can enhance model generalization and further improve the reconstruction performance on global data while protecting data privacy.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Objective:To investigate the association between gestational blood pressure and neurodevelopment in 2-year-old children.Methods:Based on the"Wuhan Healthy Baby Birth Cohort", 3 754 mother-infant pairs were enrolled in this study. Based on multiple blood pressure measurements during pregnancy, the mean, cumulative, and variability of blood pressure throughout the entire pregnancy and each trimester were calculated. Blood pressure variability was evaluated using standard deviation (SD), coefficient of variability (CV), and variability independent of mean (VIM). Follow-up testing of neurodevelopment in infants and young children at the age of two was conducted to obtain the Mental Development Index (MDI) and the Psychomotor Development Index (PDI). The multivariate linear regression and generalized estimation equation were used to analyze the association between gestational blood pressure data and neurodevelopmental index.Results:The age of 3 754 pregnant women was (29.1±3.6) years, with a pre-pregnancy BMI of (20.9±2.7) kg/m2 and a gestational age of (39.3±1.2) weeks. The birth weight of 3 754 children was (3 330.9±397.7) grams, and the birth length was (50.3±1.6) centimeters. The results of the multivariate linear regression analysis showed that after adjusting for relevant confounding factors, the mean blood pressure, cumulative blood pressure, standard deviation of blood pressure, coefficient of variation of blood pressure, independent blood pressure variability of systolic blood pressure, diastolic blood pressure, and pulse pressure throughout pregnancy were negatively associated with the MDI and PDI scores of 2-year-old children. The analysis results of the generalized estimation equation showed that after adjusting for relevant confounding factors, the average systolic blood pressure in the first, second, and third trimesters was negatively associated with MDI/PDI. The negative association between cumulative blood pressure and MDI/PDI was only found in the first trimester. The negative association between blood pressure variation during pregnancy and MDI/PDI was mainly concentrated in the second and third trimesters.Conclusion:There is a negative association between gestational blood pressure and the neurodevelopmental index of 2-year-old children.

Polygala tenuifolia,commonly known as Yuanzhi(YZ)in Chinese,has been shown to possess anti-insomnia properties.However,the material basis and the mechanism underlying its sedative-hypnotic effects remain unclear.Herein,we investigated the active components and neurochemical mechanism of YZ extracts using liquid chromatography tandem mass spectrometry(LC-MS/MS)-based pharmaco-metabolomics and mass spectrometry imaging(MSI)-based spatial resolved metabolomics.According to the results,17 prototypes out of 101 ingredients in the YZ extract were detected in both the plasma and brain,which might be the major components contributing to the sedative-hypnotic effects.Network pharmacology analysis revealed that these prototypes may exert their effects through neuroactive ligand-receptor interaction,serotonergic synapse,dopaminergic synapse,and dopaminergic synapse,among other pathways.LC-MS/MS-based targeted metabolomics and Western blot(WB)revealed that tryptophan-serotonin-melatonin(Trp-5-HT-Mel)and tyrosine-norepinephrine-adrenaline(Tyr-Ne-Ad)are the key regulated pathways.Dopa decarboxylase(DDC)upregulation and phenylethanolamine N-methyltransferase(PNMT)downregulation further confirmed these pathways.Furthermore,MSI-based spatially resolved metabolomics revealed notable alterations in 5-HT in the pineal gland(PG),and Ad in the brainstem,including the middle brain(MB),pons(PN),and hypothalamus(HY).In summary,this study illustrates the efficacy of an integrated multidimensional metabolomics approach in unraveling the sedative-hypnotic effects and neurochemical mechanisms of a Chinese herbal medicine,YZ.

Objective To investigate correlation between the expression level of multiple cytokine levels in neonatal umbilical cord plasma and early-onset sepsis for screening out the cytokines with good diagnostic value for early-onset neonatal sepsis(EONS).Methods Full-term neonates and preterm neonates(Gestational age ≥ 32 weeks)of 310 cases between September 2021 and June 2023 were selected as study subjects.According to clinical signs,laboratory results and blood culture,these subjects were divided into 3 groups:control group without sepsis,EONS blood culture positive group and EONS blood culture negative group.Umbilical cord blood plasma of all subjects was collected within 72 hours after birth.The expression levels of cytokines IL-2,IL-4,IL-6,IL-9,IL-10,IL-21,IFN-γ and TNF-α were determined,and cytokines with high expression levels(high correlation)were screened out.Receiver operating characteristic(ROC)curve was used to analyze the specificity and sensitivity of the selected cytokines in the diagnosis of neonatal early-onset sepsis.Results Among the 8 cytokines mentioned above,the concentrations of IL-6,IL-9 and IL-21 in cord blood plasma of neonatal early-onset sepsis positive blood culture patients(392.6±258.7pg/ml,11.9±7.5pg/ml,29.1±16.8 pg/ml)and negative blood culture patients(353.8±244.5pg/ml,10.4±6.3pg/ml,27.7±19.2pg/ml)were higher than those of the control group(34.9±25.1pg/ml,5.9±4.5pg/ml,10.8±10.1 pg/ml),with significant differences(t=23.961,20.732;15.174,17.824;22.466,21.193,all P＜0.01),and the increase of IL-6 concentration was the most obvious.ROC curve analysis(the cut-off values of IL-6,IL-9 and IL-21:123.0 pg/ml,3.60 pg/ml,6.00 pg/ml,respectively)showed that the areas under the ROC curve for IL-6,IL-9 and IL-21 alone detection were 0.876(95％CI:0.786～0.955),0.782(95％CI:0.667～0.875)and 0.825(95％CI:0.737～0.913),respectively.The area under the ROC curve for the combined detection of IL-6,IL-9 and IL-21 was 0.930(95％CI:0.875～0.997).The combined detection of IL-6,IL-9 and IL-21 improved the specificity and sensitivity of the test than IL-6,IL-9 and IL-21 alone detection,and the differences were statistically significant(Z=2.137,2.391,2.257,all P＜0.05).There was no significant difference in cytokine expression between positive blood culture and negative blood culture neonates with early-onset sepsis(t=0.276～3.377,all P＞0.05).Conclusion The cytokines expression of IL-6,IL-9 and IL-21 in neonatal umbilical cord plasma of neonatal early-onset sepsis were increased.Combined detection of IL-6,IL-9 and IL-21 has good diagnostic value for early-onset neonatal sepsis.

OBJECTIVE:With the popularity of simulated barefoot running,minimalist shoes have become a new way of foot exercise.As an important muscle group of the foot,the maintenance of foot muscle morphology is important for the execution of foot functions.In this paper,by combing the literature about the effect of minimalist shoes on foot muscle morphology in recent years,we systematically evaluate the effect of minimalist shoes on foot muscle morphology compared with traditional running shoes. METHODS:The relevant articles published from 2012 to 2022 were searched in Chinese and English databases(PubMed,Web of Science,ProQuest,CNKI and WanFang databases)with"minimal shoes,minimal footwear,minimalist shoes,minimalist footwear,foot muscle,feet muscle"as Chinese and English keywords,respectively.Meta-analysis,sensitivity tests were performed on the included literature using Review Manager 5.4.1 and Stata 14 software,the Egger method was used to test for publication bias in the literature,and Meta-regression was used to identify the subgroups with heterogeneity. RESULTS:Compared with traditional running shoes,minimalist shoes increased muscle circumference of the abductor hallucis[standardized mean difference=2.034,95%confidence interval(1.192,2.877),Z=4.73,P＜0.001].And the results were not reversed after clipping and patching,with a more robust combined effect size(P＜0.05).For the toe short flexors,the total combined effect size did not show a difference between traditional running shoes and minimalist shoes[standardized mean difference=0.470,95%confidence interval(-0.45,1.39),Z=1.00,P=0.318]. CONCLUSION:Compared with traditional running shoes,minimalist shoes intervention can effectively improve muscle circumference of the abductor hallucis,but the promoting effect on the flexor digitorum brevis muscle is not obvious.Running in minimalist shoes has positive implications for the maintenance of the medial longitudinal arch,but it is necessary to enrich the research content of minimalist shoes on different foot muscles and different populations in order to further explore the mechanisms by which minimalist shoe interventions promote foot function.