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.

AIM:To investigate the effects of adipose-derived stem cells(ADSCs)with overexpression or si-lencing of long noncoding RNA(lncRNA)SNHG8 on the viability,migration,angiogenesis,and the expression of vasoac-tive factors in human umbilical vein endothelial cells(HUVECs).METHODS:Identification of ADSCs derived from morbidly obese patients(O-ADSCs)was conducted using flow cytometry and induction of lipogenesis and osteogenesis.The expression of lncRNA SNHG8 in healthy human ADSCs(H-ADSCs)and O-ADSCs was detected by RT-qPCR.Tran-swell method was used to establish the indirect co-culture system of ADSCs and HUVECs for 48 h,and the cells were di-vided into O-ADSCs+HUVECs group,H-ADSCs+HUVECs group,and HUVECs alone group.The mRNA and protein ex-pression levels of angiotensin Ⅱ(Ang Ⅱ),endothelin-1(ET-1)and endothelial nitric oxide synthase(eNOS)in HUVECs were detected by RT-qPCR and Western blot.The lncRNA SNHG8 overexpression and silencing lentiviruses were con-structed and used to infect O-ADSCs.The indirect co-cultured ADSCs and HUVECs were divided into O-ADSCs-OE-SNHG8+ HUVECs group,O-ADSCs-OE-NC+HUVECs group,O-ADSCs-sh-SNHG8+HUVECs group,and O-ADSCs-sh-NC+HUVECs group.After co-culture for 48 h,the viability,migration and tubule formation of HUVECs were detected by CCK-8,scratch and angiogenesis assays,respectively.The mRNA and protein expression levels of Ang Ⅱ,ET-1 and eNOS in HU-VECs were detected by RT-qPCR and Western blot,respectively.The nitrate reductase method was used to detect the con-tent of NO in HUVECs.RESULTS:(1)The cultured cells were identified as ADSCs.(2)Compared with H-ADSCs,ln-cRNA SNHG8 expression was significantly up-regulated in O-ADSCs(P<0.01).(3)Compared with H-ADSCs+HUVECs group and HUVECs group,the mRNA and protein expression levels of Ang Ⅱ and ET-1 in HUVECs in O-ADSCs+HU-VECs group were up-regulated(P<0.01).(4)Overexpression of lncRNA SNHG8 in O-ADSCs enhanced the viability,mi-gration and tube formation ability of HUVECs,up-regulated the mRNA and protein expression levels of Ang Ⅱ and ET-1,down-regulated the mRNA and protein expression levels of eNOS,and decreased the content of NO in HUVECs(P<0.05).However,silencing of lncRNA SNHG8 in O-ADSCs exerted opposite results(P<0.05).CONCLUSION:(1)The O-ADSCs can promote endothelial cell viability,migration and tubule formation through paracrine effects.(2)The O-ADSCs with overexpression of lncRNA SNHG8 promote the imbalance of diastolic and contractile factors secreted by endo-thelial cells,and induce the dysfunction of vascular endothelial cells.

Objective:To explore the correlation between serum levels of interleukin-9 (IL-9), platelet activating factor (PAF), total immunoglobulin E (IgE), interferon γ (IFN-γ), and interleukin-4 (IL-4) in patients with chronic spontaneous urticaria (CSU).Methods:Sixty CSU active phase patients admitted to the First Affiliated Hospital of Hebei North University from March 2018 to March 2019 were selected and included in the CSU active phase group. Based on the 7-day Urticaria Activity Score (UAS7), they were divided into three groups: 15 mild group, 25 moderate group, and 20 severe group; And 19 patients who entered the quiescent phase of the disease after 28 days of standardized antihistamine treatment were included in the CSU quiescent phase group. Another 30 healthy subjects who participated in the physical examination at the same time at our hospital′s physical examination center were selected to be included in the healthy control group. 5 ml of fasting elbow vein blood was collected from CSU active and stationary patients, as well as healthy subjects. The serum levels of IL-9, PAF, total IgE, IFN-γ, and IL-4 were detected using enzyme-linked immunosorbent assay. Pearson correlation test was used to analyze the correlation between serum IL-9, PAF levels and total IgE, IFN-γ, and IL-4 levels in CSU active patients.Results:The serum levels of IL-9, PAF, total IgE, and IL-4 in the CSU active phase group were higher than those in the CSU stationary phase group and healthy control group (all P<0.05), and the serum IFN-γ levels were lower than those in the CSU stationary phase group and healthy control group (all P<0.05). There was no statistically significant difference in the levels of the above indicators between the healthy control group and the CSU stationary group (all P>0.05). The serum levels of IL-9, PAF, total IgE, and IL-4 in the severe group were significantly higher than those in the mild and moderate groups (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild and moderate groups (all P<0.05); The serum levels of IL-9, PAF, total IgE, and IL-4 in the moderate group were significantly higher than those in the mild group (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild group ( P<0.05). Pearson correlation analysis showed that serum IL-9 and PAF levels were positively correlated with serum total IgE and IL-4 levels in CSU active phase patients (IL-9: r=0.726, 0.870, PAF: r=0.788, 0.795, all P<0.01), and negatively correlated with serum IFN-γ levels (IL-9: r=-0.831, PAF: r=-0.816, all P<0.01). Conclusions:The serum levels of IL-9 and PAF in patients with active CSU are elevated and correlated with total IgE, IFN-γ, and IL-4 levels, suggesting that IL-9 and PAF may be related to the occurrence and development of CSU.

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 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.

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 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.