ObjectiveNeuroinflammation plays a crucial role in both the onset and progression of ischemic stroke, exerting a significant impact on the recovery of the central nervous system. Excessive neuroinflammation can lead to secondary neuronal damage, further exacerbating brain injury and impairing functional recovery. As a result, effectively modulating and reducing neuroinflammation in the brain has become a key therapeutic strategy for improving outcomes in ischemic stroke patients. Among various approaches, targeting immune regulation to control inflammation has gained increasing attention. This study aims to investigate the role of in vitro induced regulatory T cells (Treg cells) in suppressing neuroinflammation after ischemic stroke, as well as their potential therapeutic effects. By exploring the mechanisms through which Tregs exert their immunomodulatory functions, this research is expected to provide new insights into stroke treatment strategies. MethodsNaive CD4⁺ T cells were isolated from mouse spleens using a negative selection method to ensure high purity, and then they were induced in vitro to differentiate into Treg cells by adding specific cytokines. The anti-inflammatory effects and therapeutic potential of Treg cells transplantation in a mouse model of ischemic stroke was evaluated. In the middle cerebral artery occlusion (MCAO) model, after Treg cells transplantation, their ability to successfully migrate to the infarcted brain region and their impact on neuroinflammation levels were examined. To further investigate the role of Treg cells in stroke recovery, the changes in cytokine expression and their effects on immune cell interactions was analyzed. Additionally, infarct size and behavioral scores were measured to assess the neuroprotective effects of Treg cells. By integrating multiple indicators, the comprehensive evaluation of potential benefits of Treg cells in the treatment of ischemic stroke was performed. ResultsTreg cells significantly regulated the expression levels of both pro-inflammatory and anti-inflammatory cytokines in vitro and in vivo, effectively balancing the immune response and suppressing excessive inflammation. Additionally, Treg cells inhibited the activation and activity of inflammatory cells, thereby reducing neuroinflammation. In the MCAO mouse model, Treg cells were observed to accumulate in the infarcted brain region, where they significantly reduced the infarct size, demonstrating their neuroprotective effects. Furthermore, Treg cell therapy notably improved behavioral scores, suggesting its role in promoting functional recovery, and increased the survival rate of ischemic stroke mice, highlighting its potential as a promising therapeutic strategy for stroke treatment. ConclusionIn vitro induced Treg cells can effectively suppress neuroinflammation caused by ischemic stroke, demonstrating promising clinical application potential. By regulating the balance between pro-inflammatory and anti-inflammatory cytokines, Treg cells can inhibit immune responses in the nervous system, thereby reducing neuronal damage. Additionally, they can modulate the immune microenvironment, suppress the activation of inflammatory cells, and promote tissue repair. The therapeutic effects of Treg cells also include enhancing post-stroke recovery, improving behavioral outcomes, and increasing the survival rate of ischemic stroke mice. With their ability to suppress neuroinflammation, Treg cell therapy provides a novel and effective strategy for the treatment of ischemic stroke, offering broad application prospects in clinical immunotherapy and regenerative medicine.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

In 2016, the World Health Organization set an ambitious goal of reducing viral hepatitis-related deaths by 65% by 2030. The key to this goal is to reduce viral hepatitis-related HCC deaths. Liver cancer is the fourth most common malignant tumor and the second leading cause of cancer death in China. The onset of HCC is insidious, and most patients are already in the middle and late stage when diagnosed. Despite the great progress on management of HCC, the therapeutic effect and prognosis of HCC are still unsatisfactory. Therefore, multi-dimensional and comprehensive analysis of the mechanism of liver cancer, improving the early screening, diagnosis and treatment rate of liver cancer are the key points of reducing the harm of liver cancer in China. In recent years, multi-omics studies have been widely applied in the field of liver cancer, providing a basis for the pathogenesis of liver cancer, early detection and diagnosis, development of individual treatment strategies and prognosis assessment. This issue will focus on the application of genomics, proteomics, metabolomics and imaging omics in early screening, diagnosis and treatment of liver cancer.
Carcinoma, Hepatocellular/therapy* ; Early Detection of Cancer/methods* ; Hepatitis, Viral, Human ; Humans ; Liver Neoplasms/therapy* ; Prognosis

[摘 要] 目的：探讨胶质母细胞瘤（GBM）患者肿瘤组织来源的GBM类器官（GBO）模型的制备方法。方法：选取2021年广东三九脑科医院新诊断经病理确诊的8例GBM患者的新鲜肿瘤组织标本，将其剪成0.5~1 mm大小的组织碎片并用特制的培养基进行培养，待其成球且直径达到1 mm时剪小传代，同时选取培养2周以上的GBO进行石蜡包埋、切片，后进行H-E染色和免疫组化染色检测，并与亲本GBM组织进行组织学与细胞学的比较。结果：成功培养2例可传代冻存的GBO，并建立GBO生物库。H-E染色结果显示，GBO保留了与亲本GBM组织相似的组织结构和细胞形态；免疫组化实验结果显示，GBO与GBM组织中GFAP、OLIG2、Ki67和ATRX分子的表达情况一致。结论：将患者来源的GBM组织在体外剪小并用特制培养基培养，可构建与GBM患者肿瘤组织在组织和细胞层面一致的GBO。

ObjectiveProteoglycan TPG-1 isolated from Trametes robiniophila（Huaier） has proved to have anti-hepatoma activity， and this paper aims to explore the molecular mechanism. MethodHuman hepatoma SK-HEP-1 cells were treated with TPG-1 （0， 0.05， 0.1， 0.25， 0.5， 1 g·L^-1）. Then cell survival was detected by methyl thiazolyl tetrazolium （MTT） and apoptosis by flow cytometry. In addition， expression of genes in SK-HEP-1 cells treated with or without TPG-1 was examined by DNA microarray to preliminarily explore the anti-hepatoma molecular mechanism of TPG-1. ResultTPG-1 inhibited the proliferation of SK-HEP-1 cells as compared with the blank group （P<0.01）. After treatment with 1 g·L^-1 TPG-1 for 48 h， the apoptosis rate of SK-HEP-1 cells increased （P<0.01）， and TPG-1 promoted the cleavage of cysteinyl aspartate specific proteinase （Caspase）-3 and Caspase-7， the key mediators of apoptosis （P<0.01）. Additionally， TPG-1 （1 g·L^-1） suppressed the migration of SK-HEP-1 cells （P<0.05）. A total of 971 differentially expressed genes （DEGs） were identified in SK-HEP-1 cells after treatment with TPG-1， with 486 up-regulated and 485 down-regulated. These DEGs were mainly involved in the Gene Ontology （GO） terms of interleukin-6 （IL-6） biosynthesis， antigen processing and presentation， superoxide dismutase activity， positive regulation of mitogen-activated protein kinase kinase kinase （MAPKKK） cascade， nature killer （NK） cell chemotaxis， and chemokine biosynthesis， and the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways of nucleotide-binding oligomerization domain （NOD）-like receptor signaling pathway， apoptosis， Toll-like receptor signaling pathway， retinoic acid-inducible gene-Ⅰ （RIG-Ⅰ）-like receptor signaling pathway， T-cell receptor signaling pathway， and chemokine signaling pathway. Western blot results showed that TPG-1 （1 g·L^-1） activated mitogen-activated protein kinase （MAPK） signaling pathway in SK-HEP-1 cells （P<0.01）. ConclusionProteoglycan TPG-1 inhibited the proliferation and migration， and induced apoptosis of human hepatoma SK-HEP-1 cells. Up-regulation of MAPK signaling pathway may be responsible for the growth inhibition of human hepatoma SK-HEP-1 cells by TPG-1.

Objective To investigate the value of ¹⁸F-FDG PET/CT metabolic parameters and metabolic heterogeneity for predicting the expression of human epidermal growth factor receptor 2 (HER2) in patients with gastric cancer. Methods A total of 45 patients with gastric cancer confirmed by surgical pathology between September 2016 and May 2021 were enrolled in this study.All the patients underwent ¹⁸F-FDG PET/CT examination before surgery.The maximum standardized uptake value (SUVmax),metabolic tumor volume (MTV),and total lesion glycolysis (TLG) of primary gastric cancer were measured,and the linear regression slope of MTV corresponding to different SUVmax thresholds (40% SUVmax and 80% SUVmax) was calculated.The absolute value of the slope was deemed to represent the metabolic heterogeneity of primary gastric cancer,termed the heterogeneity index (HI).Univariate and multivariate Logistic regression analyses were conducted to evaluate the correlations of ¹⁸F-FDG PET/CT metabolic parameters and HI with HER2 expression. Results The 45 patients included 10 with positive HER2 expression and 35 with negative result.The MTV (P=0.043) and HI (P=0.048) were lower in the patients with positive HER2 expression than in the patients with negative HER2 expression.The MTV and HI had the optimal thresholds of 12.10 cm³ and 3.71,respectively,which respectively showed the accuracy of 62.2% and 57.8% for predicting HER2 expression.The univariate Logistic regression showed that the tumor differentiation degree,MTV,and HI were correlated with HER2 expression,while the multivariate Logistic regression showed that only the tumor differentiation degree (OR=20.130,95%CI=1.843-219.860,P=0.014) was an independent predictor for HER2 expression.A further stratified analysis of the tumor differentiation degree showed that HER2 expression only varied among different MTV threshold groups in patients with moderately/well differentiated gastric cancer (P=0.031). Conclusions MTV and HI were associated with HER2 expression in gastric cancer,whereas neither played an independent predictive role.Therefore,these factors should be combined with clinicopathological characteristics of patients to jointly guide treatment decisions.
Fluorodeoxyglucose F18 ; Humans ; Positron Emission Tomography Computed Tomography/methods* ; Receptor, ErbB-2 ; Retrospective Studies ; Stomach Neoplasms/diagnostic imaging*

OBJECTIVE: To investigate the molecular epidemiological characteristics of common δβ-thalassemia/hereditary persistence of fetal hemoglobin(HPFH) in the prepregnant population in Huadu, and to provide a laboratory basis for prevention and control of thalassemia. METHODS: Blood samples of childbearing age people in Huadu District of Guangzhou who participated in free thalassemia testing from January 2016 to July 2021 were collected for hematological parameters analysis and hemoglobin electrophoresis. Chinese ^Gγ⁺(^Aγδβ)⁰-thalassemia, ^SEA-HPFH and Taiwanese deletion β-thalassemia were detected by Gap-PCR in the samples with higher HbF(≥5%). Primers were designed for the proximal HBG1 and HBG2 promoter, and the point mutations in the proximal promoter region were detected by Sanger sequencing. Hematology parameters data were statistically analyzed. RESULTS: Among 27 088 samples, Thirteen cases of Chinese ^Gγ⁺(^Aγδβ)⁰-thalassemia and thirty-three cases of ^SEA-HPFH were detected, which including 3 cases of Chinese ^Gγ⁺(^Aγδβ)⁰/β^N compounded with --^SEA/αα and three cases of ^SEA-HPFH/β^N compounded with --^SEA/αα. 6 carriers with ^Aγ-196 C>T were also detected; No Taiwanese thalassemia genetype was detected. The total detection rate of common δβ-thalassemia/HPFH was 0.19% (52/27 088). There were significant differences in the levels of MCV, MCH, HbA₂, and HbF among Chinese ^Gγ⁺(^Aγδβ)⁰-thalassemia, ^SEA-HPFH, ^Aγ-196 C>T (P<0.001). The hematological parameters of ^Aγ-196C>T combined with α⁰-thalassemia were similar to those of Chinese ^Gγ⁺(^Aγδβ)⁰-thalassemia carriers, and only HbA₂ was significantly lower than that of the latter, which was helpful for clinical identification. CONCLUSION δβ-thalassemia/HPFH should be included in the scope of thalassemia prevention program in the prepregnant population in Huadu District, and hematological parameters can provide some basis for identifying different types of δβ-thalassemia/HPFH.
Diagnosis, Differential ; Fetal Hemoglobin/genetics* ; Heterozygote ; Humans ; Thalassemia/genetics* ; beta-Thalassemia/genetics*

Astragali Radix is one of traditional Chinese medicines with effects in invigorating Qi for consolidating superficies, inducing diuresis to alleviate edema, promoting pus discharge and tissue regeneration. In recent years, the traditional Chinese medicine fermentation technology has received extensive attentions due to its high efficiency and safety. The pharmacological functions of traditional Chinese medicines could be further enhanced after microbial fermentation, which has a broad development prospects. In this paper, we summarized relevant literatures of Astragali Radix fermentation in such aspects as fermentation strains, fermentation forms, process optimization, active ingredients and pharmacological effects, in the expectation of providing a reference for development and utilization of Astragali Radix.
Astragalus Plant ; Drugs, Chinese Herbal ; Fermentation ; Medicine, Chinese Traditional ; Plant Roots

The First Affiliated Hospital of Xi'an Jiaotong University has established pediatric MOOCs courses, including the formation of excellent MOOC teachers, the curriculum planning and design of MOOCs, making MOOCs videos, and using MOOCs for teaching activities. The MOOCs for teaching is intuitive, the courses are interesting, and the learning time is flexible. Besides, it is open and resources-sharing, and it also can increase the educational equity. At the same time, it can reduce teachers' burden, improve teaching ability, and improve learning ability of students. Most students and teachers agree that MOOCs are worthy of promotion and application.