This study primarily investigates the effect of Liuwei Dihuang Pills on the activation and proliferation of female germline stem cells(FGSCs) in the ovaries and cortex of mice with premature ovarian failure(POF), and how it improves ovarian function. ICR mice were randomly divided into the control group, model group, Liuwei Dihuang Pills group, Liuwei Dihuang Pills double-dose group, and estradiol valerate group. A mouse model of POF was established by intraperitoneal injection of cyclophosphamide. After successful modeling, the mice were treated with Liuwei Dihuang Pills or estradiol valerate for 28 days. Vaginal smears were prepared to observe the estrous cycle and body weight. After the last administration, mice were sacrificed and sampled. Serum levels of estradiol(E_2), follicle-stimulating hormone(FSH), luteinizing hormone(LH), and anti-Müllerian hormone(AMH) were measured by enzyme-linked immunosorbent assay(ELISA). Hematoxylin-eosin(HE) staining was used to observe ovarian morphology and to count follicles at all stages to evaluate ovarian function. Immunohistochemistry was used to detect the expression of mouse vasa homolog(MVH), a marker of ovarian FGSCs. Immunofluorescence staining, using co-labeling of MVH and proliferating cell nuclear antigen(PCNA), was used to detect the expression and localization of specific markers of FGSCs. Western blot was employed to assess the protein expression of MVH, octamer-binding transcription factor 4(Oct4), and PCNA in the ovaries. The results showed that compared with the control group, the model group exhibited disordered estrous cycles, decreased ovarian index, increased atretic follicles, and a reduced number of follicles at all stages. FSH and LH levels were significantly elevated, while AMH and E_2 levels were significantly reduced, indicating the success of the model. After treatment with Liuwei Dihuang Pills or estradiol valerate, hormone levels improved, the number of atretic follicles decreased, and the number of follicles at all stages increased. MVH marker protein and PCNA proliferative protein expression in ovarian tissue also increased. These results suggest that Liuwei Dihuang Pills regulate estrous cycles and hormone disorders in POF mice, promote the proliferation of FGSCs, improve follicular development in POF mice, and enhance ovarian function.
Animals ; Female ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Cell Proliferation/drug effects* ; Mice, Inbred ICR ; Ovary/cytology* ; Primary Ovarian Insufficiency/genetics* ; Follicle Stimulating Hormone/metabolism* ; Humans ; Anti-Mullerian Hormone/blood* ; Antineoplastic Agents/adverse effects* ; Luteinizing Hormone/metabolism* ; Cyclophosphamide/adverse effects*

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To investigate the anti-atherosclerotic mechanism of herbal cake-separated moxibustion.Methods Twenty-four New Zealand purebred male rabbits were randomly divided into normal group,model group,herbal cake-separated moxibustion group and Atorvastatin group,with 6 rabbits in each group.Except for the normal group,the rabbits in the other groups were fed with high-fat diet mixed with Propylthiouracil(PTU)method to construct an atherosclerosis model.At the same period of modeling,corresponding intervention was given.After 12 weeks,the levels of serum total cholesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDL-C)were detected.The pathological changes of rabbit aortic tissue were observed by hematoxylin-eosin(HE)staining.The levels of serum tumor necrosis factor α(TNF-α),interleukin 6(IL-6)and interleukin 10(IL-10)were detected by enzyme-linked immunosorbent assay(ELISA).The contents of phosphatidylinositol 3-kinase(PI3K),phosphorylated protein kinase B(p-AKT)and phosphorylated mammalian target of rapamycin(p-mTOR)in myocardial tissue were detected by Western Blot.Results Compared with the normal group,the serum levels of TC,TG and LDL-C in the model group were significantly increased(P＜0.001),the aortic vascular endothelial structure was significantly damaged,the serum levels of TNF-α and IL-6 were increased(P＜0.001),the serum level of IL-10 was decreased(P＜0.01),and the protein expression levels of PI3K,p-AKT and p-mTOR in myocardial tissue were significantly decreased(P＜0.05 or P＜0.01).Compared with the model group,the above indexes in the herbal cake-separated moxibustion group and the Atorvastatin group were significantly improved(P＜0.05 or P＜0.01 or P＜0.001).Compared with the Atorvastatin group,the contents of TG and LDL-C in the herbal cake-separated moxibustion group were increased(P＜0.01),and other indicators did not change significantly(P＞0.05).Conclusion The mechanism of anti-atherosclerosis of herbal cake-separated moxibustion may be related to the activation of PI3K/AKT/mTOR signaling pathway and the regulation of the expressions of inflammatory mediators TNF-α,IL-6 and IL-10.

Objective:To analyze thalassemia genotypes and distribution of children in Wuzhou Guangxi,and evaluate the diagnostic value of HbA2 in children's thalassemia screening,so as to provide scientific evidence for the prevention and control strategies of thalassemia.Methods:Four hundred and fifty-eight children suspected with thalassemia in Wuzhou were enrolled from March 2017 to June 2022.The level of HbA2 was detected using Bio-Rad VARIANT Ⅱ Hb analysis system.The deletion of α-thalassemia was measured with gap-PCR assay,and the point mutation of α-and β-thalassemia was tested with DNA reverse dot blot hybridization assay.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of HbA2 for children's thalassemia.Results:A total of 304 thalassemia carriers were detected in 458 children,accounting for 66.38％.One hundred and seventy-five cases were defined to be α-thalassemia,with the main type of--SEA/αα(54.86％).Thirty-six cases were defined to be intermediate α-thalassemia,with the main type of-α3.7/--SEA(9.72％).In 108 cases with β-thalassemia,βCD41-42/βN was the main type,accounting for 49.07％,followed by βIVS-Ⅱ-654/βN(14.81％).Seven cases were moderate/severe β-thalassemia(predominantly β-28/β-28 and βCD41-42/βCD17)Twenty-one genotypes of α-and β-thalassemia were found in the children.There was significant difference of HbA2 level between the children with different types of thalassemia and healthy controls(all P＜0.001).ROC curve analysis showed that the sensitivities of HbA2 for α-thalassemia,β-thalassemia and αβ-thalassemia were 74.3％,82.4％and 85.7％,with the optimal cut-off values of 2.60％,3.60％and 3.70％,respectively,the specificities were 64.3％,96.1％and 96.8％,and the area under the curve were 0.690,0.887 and 0.916,respectively.Conclusion:The thalassemia genotypes of children in Wuzhou are diverse.It is necessary to further strengthen the prevention and control measure of thalassemia to reduce birth defects and improve birth quality.

NLRP3 can recruit proteins such as ASC and pro-caspase1 to form NLRP3 inflammasomes after being stimulated by pathogen and danger signals in vivo,and then induce pyropto-sis and promote the inflammatory reactions to maintain the home-ostasis.However,the overactivation of NLRP3 inflammasomes is closely related to many inflammatory and autoimmune diseases in humans.Targeted inhibition of NLRP3 inflammasomes can sig-nificantly inhibit inflammation and alleviate the relative symp-toms.Therefore,it is an important research direction for treating diseases of NLRP3 inflammasome that searching for effective in-hibitors targeting NLRP3 inflammasome activation and achieving clinical transformation.This review summarizes the latest re-search progress based on the sources of NLRP3 inflammasome inhibitors.

OBJECTIVE: To develop a few-shot learning (FSL) approach for classifying optical coherence tomography (OCT) images in patients with inherited retinal disorders (IRDs). METHODS: In this study, an FSL model based on a student-teacher learning framework was designed to classify images. 2,317 images from 189 participants were included. Of these, 1,126 images revealed IRDs, 533 were normal samples, and 658 were control samples. RESULTS: The FSL model achieved a total accuracy of 0.974-0.983, total sensitivity of 0.934-0.957, total specificity of 0.984-0.990, and total F1 score of 0.935-0.957, which were superior to the total accuracy of the baseline model of 0.943-0.954, total sensitivity of 0.866-0.886, total specificity of 0.962-0.971, and total F1 score of 0.859-0.885. The performance of most subclassifications also exhibited advantages. Moreover, the FSL model had a higher area under curves (AUC) of the receiver operating characteristic (ROC) curves in most subclassifications. CONCLUSION This study demonstrates the effective use of the FSL model for the classification of OCT images from patients with IRDs, normal, and control participants with a smaller volume of data. The general principle and similar network architectures can also be applied to other retinal diseases with a low prevalence.
Humans ; Tomography, Optical Coherence ; Deep Learning ; Retinal Diseases/diagnostic imaging* ; Retina/diagnostic imaging* ; ROC Curve

Humans ; Incidence ; Longitudinal Studies ; China/epidemiology* ; Thymus Neoplasms

Pyroptosis is a novel process of programmed inflammatory necrosis, which is closely related to microbial infections and autoimmune diseases. In recent years it has been proved that Gasdermin D is an executive protein of pyroptosis. Cleaved Gasdermin D leads to the formation of pores in cell membrane to induce pyroptosis, and the release of inflammatory factors such as IL-1β and IL-18 aggravates the occurrence of inflammatory responses. With the deepening of Gasdermin D research, it is gradually clear its protein structure and activation sites, which has other activation pathways apart from inducing inflammasome activation. Activation of Gasdermin D does not necessarily mean cell death, even if it could induce the formation of pores in cell membrane and regulation of inflammatory cytokine secretion. These findings offer insight into Gasdermin D function and change our understanding of pyroptosis and programmed necrosis. The recent progress of Gasdermin D is highlighted in this review.