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.

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 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.

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.

Brain computer interface(BCI)is a rapidly developing rehabilitation technology in recent years, which has been gradually used for cognitive rehabilitation of stroke patients.BCI can activate brain regions related to cognition to a greater extent through motor imagery and neural feedback technology, promote functional connectivity between brain regions, and ameliorate cognitive impairment after stroke.This paper summarized the mechanisms involved in BCI promoting cognitive rehabilitation and current applications of BCI in post-stroke cognitive impairment, and identifies the shortcomings of BCI in the treatment of post-stroke cognitive impairment, in order to provide insight for the research and clinical practice of BCI in post-stroke cognitive rehabilitation.

OBJECTIVE: To propose a semi-supervised material quantitative intelligent imaging algorithm based on prior information perception learning (SLMD-Net) to improve the quality and precision of spectral CT imaging. METHODS: The algorithm includes a supervised and a self- supervised submodule. In the supervised submodule, the mapping relationship between low and high signal-to-noise ratio (SNR) data was constructed through mean square error loss function learning based on a small labeled dataset. In the self- supervised sub-module, an image recovery model was utilized to construct the loss function incorporating the prior information from a large unlabeled low SNR basic material image dataset, and the total variation (TV) model was used to to characterize the prior information of the images. The two submodules were combined to form the SLMD-Net method, and pre-clinical simulation data were used to validate the feasibility and effectiveness of the algorithm. RESULTS: Compared with the traditional model-driven quantitative imaging methods (FBP-DI, PWLS-PCG, and E3DTV), data-driven supervised-learning-based quantitative imaging methods (SUMD-Net and BFCNN), a material quantitative imaging method based on unsupervised learning (UNTV-Net) and semi-supervised learning-based cycle consistent generative adversarial network (Semi-CycleGAN), the proposed SLMD-Net method had better performance in both visual and quantitative assessments. For quantitative imaging of water and bone materials, the SLMD-Net method had the highest PSNR index (31.82 and 29.06), the highest FSIM index (0.95 and 0.90), and the lowest RMSE index (0.03 and 0.02), respectively) and achieved significantly higher image quality scores than the other 7 material decomposition methods (P < 0.05). The material quantitative imaging performance of SLMD-Net was close to that of the supervised network SUMD-Net trained with labeled data with a doubled size. CONCLUSIONS A small labeled dataset and a large unlabeled low SNR material image dataset can be fully used to suppress noise amplification and artifacts in basic material decomposition in spectral CT and reduce the dependence on labeled data-driven network, which considers more realistic scenario in clinics.
Tomography, X-Ray Computed/methods* ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Signal-To-Noise Ratio ; Perception

Auditory neuropathy spectrum disorder (ANSD) represents a variety of sensorineural deafness conditions characterized by abnormal inner hair cells and/or auditory nerve function, but with the preservation of outer hair cell function. ANSD represents up to 15% of individuals with hearing impairments. Through mutation screening, bioinformatic analysis and expression studies, we have previously identified several apoptosis-inducing factor (AIF) mitochondria-associated 1 (AIFM1) variants in ANSD families and in some other sporadic cases. Here, to elucidate the pathogenic mechanisms underlying each AIFM1 variant, we generated AIF-null cells using the clustered regularly interspersed short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system and constructed AIF-wild type (WT) and AIF-mutant (mut) (p.‍T260A, p.‍R422W, and p.‍R451Q) stable transfection cell lines. We then analyzed AIF structure, coenzyme-binding affinity, apoptosis, and other aspects. Results revealed that these variants resulted in impaired dimerization, compromising AIF function. The reduction reaction of AIF variants had proceeded slower than that of AIF-WT. The average levels of AIF dimerization in AIF variant cells were only 34.5%‍‒‍49.7% of that of AIF-WT cells, resulting in caspase-independent apoptosis. The average percentage of apoptotic cells in the variants was 12.3%‍‒‍17.9%, which was significantly higher than that (6.9%‍‒‍7.4%) in controls. However, nicotinamide adenine dinucleotide (NADH) treatment promoted the reduction of apoptosis by rescuing AIF dimerization in AIF variant cells. Our findings show that the impairment of AIF dimerization by AIFM1 variants causes apoptosis contributing to ANSD, and introduce NADH as a potential drug for ANSD treatment. Our results help elucidate the mechanisms of ANSD and may lead to the provision of novel therapies.
Humans ; Apoptosis Inducing Factor/metabolism* ; NAD/metabolism* ; Dimerization ; Apoptosis