Objective: To characterize longitudinal trajectories of testicular development in boys and breast development in girls, so as to provide reference data for understanding patterns of pubertal sexual maturation. Methods: Based on the Shanghai Pudong New Area Cohort Study on Growth, Development and Health in Children and Adolescents, a baseline survey was conducted in 2020 using a mult stage cluster random sampling method. A total of 2 184 children who completed all follow ups during the primary school period from 13 elementary schools in Pudong New Area,Shanghai,with annual follow ups during 2021-2025. Testicular volume and Tanner stage of breast development were assessed by professional physicians using standardized visual inspection and palpation. The age distribution of testicular volume and breast development was fitted by using cumulative link mixed models and Turnbull s nonparametric maximum likelihood estimation method. Results: Median ages for testicular volumes of 2, 3, 4 and 5 mL in boys were 7.07, 9.24, 10.29, and 11.57 years old, respectively. Median ages for Tanner breast stages Ⅱ, Ⅲ, Ⅳ, and Ⅴ in girls were 8.55 , 10.17, 11.18, and 13.78 years old, respectively. Based on overweight and obesity, stratified analysis showed that earlier pubertal onset among overweight/obesity children, and the key milestones for pubertal initiation were testicular volume reaching 4 mL in boys and breast Tanner II in girls for 10.29, 10.83; 8.18, 9.00 years. Conclusion Overweight and obesity are associated with earlier pubertal initiation,but there are certain gender and developmental stage specific patterns.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

ObjectiveTo investigate the mechanism underlying the effects of three formulas of the method of warming Yang and relieving depression on anxiety- and depression-like behaviors in the mice subjected to a two-hit paradigm of maternal separation （MS） combined with restraint stress （RS）. MethodsNeonatal mice were randomly assigned into the following groups： Blank control， MS alone， model （MS+RS）， warming Yang （WY，5.85 g·kg^-1）， relieving depression （RD，12.03 g·kg^-1）， warming Yang and relieving depression （WYRD，16.71 g·kg^-1）， and fluoxetine groups （2.6 mg·kg^-1）. MS was conducted on postnatal day 5 （PD5）. Weaning and preventive drug administration were carried out on PD21， and restraint stress was applied on PD90. Anxiety- and depression-like behaviors were assessed using the open field test （OFT）， the elevated zero maze test and tail suspension test （TST）. High-performance liquid chromatography with electrochemical detection （HPLC-ECD） was employed to measure the levels of neurotransmitters， including 5-hydroxytryptamine （5-HT） and dopamine （DA）， in the hippocampus. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of 5-HT_1A receptor （5-HT_1AR）， serotonin transporter （SERT）， monoamine oxidase A （MAOA）， glucocorticoid receptor （GR）， adrenocorticotropic hormone （ACTH）， corticotropin-releasing hormone （CRH）， brain-derived neurotrophic factor （BDNF）， and tyrosine kinase receptor B （TrkB）. Immunohistochemistry （IHC） was applied to assess the protein expression levels of 5-HT_1AR， 5-HT_2A receptor （5-HT_2AR）， 5-HT_2C receptor （5-HT_2CR）， GR， and CRH receptor 1 （CRHR1）. The protein expression levels of BDNF and TrkB in the hippocampus were measured using the fully automated protein expression analysis system （Simple Wes）. ResultsIn the behavioral tests， compared with the blank control group， the model group exhibited significant increases in locomotor distance and central area crossings （P<0.05， P<0.01）in OFT， as well as a significant increase in immobility time in the TST （P<0.05）. Compared with the model group， the RD， WYRD， and fluoxetine groups all showed significantly reduced central area crossings （P<0.05， P<0.01）. Regarding neurotransmitter levels， compared with the blank control group， the model group had significantly decreased hippocampal epinephrine （E） and dopamine （DA） content （P<0.05， P<0.01）. Compared with the MS group， the model group showed significant decreases in hippocampal norepinephrine （NE）， E， and 5-HT content （P<0.05， P<0.01）. Compared with the model group， the WY group decreased hippocampal NE， DA， and 5-HT content （P<0.01）， while the RD， WYRD， and fluoxetine groups exhibited significantly increased hippocampal E content （P<0.01）. At the molecular level， compared with the blank control and MS groups， the model group showed significant increases in mRNA levels of 5-HT_1AR， SERT， MAOA， ACTH， and CRH （P<0.01）， and significant decreases in mRNA levels of tryptophan hydroxylase （TPH）， GR， BDNF， and TrkB （P<0.01）. Protein expression of 5-HT_1AR， 5-HT_2AR， and 5-HT_2CR was also significantly elevated （P<0.05， P<0.01） in the model group. Compared with the model group， the RD group showed significant decreases in SERT， MAOA， and CRH mRNA （P<0.05， P<0.01）， significant increases in TPH， BDNF， and TrkB mRNA （P<0.01）， significantly reduced protein expression of 5-HT_1AR， 5-HT_2AR， and 5-HT_2CR （P<0.05）， and significantly increased GR protein expression. The WY group showed a significant increase in ACTH mRNA expression （P<0.01）. The fluoxetine group exhibited significant decreases in MAOA and CRH mRNA （P<0.05， P<0.01）， significant increases in TPH， BDNF， and TrkB mRNA （P<0.01）， significantly reduced 5-HT_2AR protein expression （P<0.01）， and significantly increased GR protein expression（P<0.05）. ConclusionThe method of warming Yang and relieving depression can ameliorate anxiety- and depression-like behaviors in two-hit mice. Its mechanism may be associated with the BDNF/TrkB signaling pathway， as well as the HPA axis and serotonergic system.

Objective: To determine the potential genetic causal relationship between sleep related phenotypes and female pubertal onset using the two sample Mendelian randomization approach. Methods: Genetic instrumental variables for sleep and age at menarche were sourced from FinnGen, IEU Open GWAS and GWAS Catalog three publicly available Genome Wide Association Study databases. Causal effects were estimated using the inverse variance weighted method, supplemented by sensitivity analyses and tests for heterogeneity, pleiotropy, and direction. Results: Genetically predicted sleep duration was positively associated with age at menarche ( β =0.61, 95% CI =0.30-0.91, P <0.01). Conversely, overall sleep problems ( β =-0.13, 95% CI =-0.20 to -0.07 ), two specific types of sleep disorders (sleep apnea: β =-0.10, 95% CI =-0.16 to -0.03; insomnia: β =-0.40, 95% CI = -0.69 to -0.11) were causally associated with earlier age at menarche (all P <0.01). Sensitivity analyses confirmed the robustness of these findings with consistent effect directions and no evidence of significant directional pleiotropy. Conclusions The study reveales a genetic causal relationship between sleep and pubertal onset. Adequate sleep duration appears to have a protective effect. These findings suggest that sleep may have a critical regulatory role in the initiation of pubertal development.

Acute lung injury （ALI） is one of the most common and critical diseases in clinical practice， with extremely high morbidity and mortality， seriously threatening human life and health. The pathogenesis of ALI is complex， in which the inflammatory response is a key factor. Studies have shown that NOD-like receptor protein 3 （NLRP3） inflammasomes are involved in ALI through mechanisms such as inflammation induction， increased microvascular permeability， recruitment of neutrophils， oxidative stress， and pyroptosis， playing a key role in the occurrence and progression of ALI. Therefore， regulating NLRP3 inflammasomes and inhibiting the release of inflammatory factors can alleviate the damage in ALI. At present， ALI is mainly treated by mechanical ventilation and oxygen therapy， which have problems such as high costs and poor prognosis. In recent years， studies have shown that traditional Chinese medicine （TCM） can reduce the inflammatory response and the occurrence of oxidative stress and pyroptosis by regulating the NLRP3 inflammasome， thus alleviating the damage and decreasing the mortality of ALI. Based on the relevant literature in recent years， this article reviews the research progress in TCM treatment of ALI by regulating NLRP3 inflammasomes， discusses how NLRP3 inflammasomes participate in ALI， and summarizes the active ingredients， extracts， and compound prescriptions of TCM that regulate NLRP3 inflammasomes， aiming to provide new ideas for the clinical treatment of ALI and the development of relevant drugs.

Objective:To explore the predictive value of neutrophil-to-lymphocyte ratio (NLR) and tumor necrosis factor -α (TNF-α) level on the therapeutic effect of transcatheter arterial chemoembolization (TACE) combined with microwave ablation in patients with massive liver cancer.Methods:The medical records of 106 patients with massive liver cancer who underwent TACE combined with microwave ablation treatment in the Affiliated Hospital of Weifang Medical University from February 2020 to February 2023 were retrospectively analyzed. The efficacy was evaluated 6 weeks after surgery, and the patients were divided into remission group and non-remission group according to the therapeutic effect. The levels of NLR and TNF-α in the two groups were detected before surgery, 3 days after surgery and 7 days after surgery. Point two column correlation was used to analyze the relationship between the levels of NLR and TNF-α in different time periods and the therapeutic effect of TACE combined with microwave ablation in patients with massive liver cancer. The receiver operator characteristic (ROC) curve was drawn to analyze the predictive value of NLR and TNF-α levels in different time periods for the therapeutic effect of TACE combined with microwave ablation in patients with massive liver cancer.Results:Six weeks after surgery, out of 106 patients with massive liver cancer, 13 achieved complete remission, 48 achieved partial remission, 20 experienced disease progression, and 25 remained stable. The overall remission rate was 57.55% (61/106). Before surgery, the levels of NLR [ (2.26±0.13) vs. (2.43±0.12), t=6.87, P<0.001] and TNF-α [ (36.20±4.38) pg/ml vs. (42.74±5.74) pg/ml, t=6.66, P<0.001] in the remission group ( n=61) were lower than those in the non-remission group ( n=45), with statistically significant differences. At 3 days after surgery, there were no statistically significant difference in the levels of NLR [ (6.16±3.22) vs. (6.22±3.30), t=0.09, P=0.925] or TNF-α [ (48.84±7.22) pg/ml vs. (49.13±7.34) pg/ml, t=0.20, P=0.840] between the remission group and the non-remission group. At 7 days after surgery, the levels of NLR [ (2.60±0.18) vs. (2.82±0.26), t=5.15, P<0.001] and TNF-α [ (38.20±6.30) pg/ml vs. (45.57±5.79) pg/ml, t=6.16, P<0.001] in the remission group were lower than those in the non-remission group, with statistically significant differences. There were statistically significant differences in NLR and TNF-α levels before surgery, 3 days and 7 days after surgery between the remission group and the non-remission group ( F=82.43, P<0.001; F=54.45, P<0.001; F=76.23, P<0.001; F=15.61, P<0.001). Further pair-to-pair comparison showed that the levels of NLR and TNF-α were higher in both groups 3 and 7 days after surgery than before surgery, but the levels of NLR and TNF-α were lower in both groups 7 days after surgery than 3 days after surgery, with statistically significant differences (all P<0.005). Point two column correlation analysis showed that NLR level, TNF-α level and the efficacy of TACE combined with microwave ablation in patients with massive liver cancer were significantly positively correlated before and 7 days after surgery ( r=0.42, P<0.001; r=0.49, P<0.001; r=0.43, P<0.001; r=0.46, P<0.001). ROC curve showed that the area under the curve (AUC) of NLR and TNF-α alone in predicting the efficacy of TACE combined with microwave ablation in patients with massive liver cancer before and 7 days after surgery was 0.750 (95% CI: 0.656-0.844), 0.788 (95% CI: 0.699-0.877), 0.751 (95% CI: 0.652-0.850), 0.788 (95% CI: 0.700-0.876), respectively. The AUC of combined prediction of NLR and TNF-α before and 7 days after surgery were 0.818 (95% CI: 0.736-0.900) and 0.813 (95% CI: 0.730-0.897), respectively. There were no statistically significant differences in the AUC values of NLR and TNF-α alone or in combination for predicting the therapeutic effect of TACE combined with microwave ablation in patients with massive liver cancer before and 7 days after surgery (all P>0.05) . Conclusions:The levels of NLR and TNF-α before and 7 days after surgery are related to the effect of TACE combined with microwave ablation in patients with massive liver cancer, and the combination of NLR and TNF-α levels before and 7 days after surgery has certain value in predicting the effect of TACE combined with microwave ablation in patients with massive liver cancer.

Objective To investigate the expression of the histone deacetylase SIRT7 in glioma cells and its impact on epithelial-mesenchymal transformation(EMT),as well as its effects on proliferative,migratory and invasive capabilities of glioma cells.Methods Bioinformatics analysis was conducted on data from glioma patients in the Cancer Genome Atlas(TCGA)and the Chinese glioma Genome Atlas(CGGA)databases to explore the expression of SIRT7 gene in gliomas and its correlation with tumor grading,molecular characteristics and patient clinical prognosis.Glioma cells were randomly divided into control,SIRT7 knockdown,SIRT7 overexpression,drug treatment(10 μmol/L hydrochlorothiazide)and drug(10 μmol/L hydrochlorothiazide)+SIRT7 overexpression groups.The CCK-8 assay,cell scratch assay and Transwell assay were used to observe the effects of upregulating and downregulating SIRT7 expression on glioma cell proliferation,migration and invasion.RT-qPCR and Western blotting were employed to detect the effects of SIRT7 on the expression of neural cadherin(N-cadherin),Vimentin,E-cadherin,transforming growth factor-β(TGF-β),Ki-67,and Smad3 protein in glioma cells.Nude mouse tumor-bearing experiments were conducted to observe the effect of SIRT7 knockdown on glioma growth.Results Higher expression levels of SIRT7 gene were associated with poorer clinical prognosis(P＜0.0001).SIRT7 expression levels were significantly correlated with tumor grading and 1p19q coding status(P＜0.01).Compared with normal HA cells,glioma cells showed significantly increased SIRT7 expression levels(P＜0.01).CCK-8 assay results indicated that,compared with control group,the proliferation activity of glioma cells in SIRT7 knockout group was significantly decreased(P＜0.01),while SIRT7 overexpression group showed significantly increased proliferation activity(P＜0.01).EdU assay results showed that,compared with control group,the proportion of glioma cells in the proliferative stage was significantly decreased in SIRT7 knockdown group(P＜0.01),and significantly increased in SIRT7 overexpression group(P＜0.01).Western blotting results revealed that,compared with control group,the protein expression levels of TGF-β,Smad3,N-cadherin and Vimentin were significantly decreased in SIRT7 knockdown group(P＜0.01),while the expression level of E-cadherin protein was significantly increased(P＜0.05).SIRT7 overexpression group showed significantly increased protein expression levels of TGF-β,Smad3,N-cadherin and Vimentin(P＜0.05),and a significantly decrease in E-cadherin protein expression level(P＜0.05).Scratch assay results indicated that,compared with control group,the migration ability of cells in SIRT7 knockdown group and drug group was significantly decreased(P＜0.01),and SIRT7 overexpression group showed significantly increased cell migration ability(P＜0.05).Compared with drug group,drug+SIRT7 overexpression group exhibited significantly increased cell migration ability(P＜0.01).Transwell assay results showed that,compared with control group,the migration and invasion abilities of cells in SIRT7 knockdown group and drug group were significantly decreased(P＜0.01),and SIRT7 overexpression group exhibited significantly increased migration and invasion abilities(P＜0.01).Compared with drug group,drug+SIRT7 overexpression group showed significantly increased migration and invasion abilities(P＜0.01).Nude mouse tumor-bearing assay results indicated that the volume and weight of glioma in SIRT7 knockdown group were significantly reduced compared with control group(P＜0.01).Conclusions Glioma patients with high SIRT7 expression have poorer clinical prognosis.SIRT7 can regulate the TGF-β/Smad3 pathway to mediate EMT,promoting the proliferation and migration of glioma cells.SIRT7 knockdown can inhibit the growth of transplanted gliomas in nude mice.