The common complication of ischemic brain injury was ischemic brain edema,which was closely related to the function of the blood-brain barrier (BBB).In vitro studies,which have shown that vascular endothelial growth factor (VEGF) could bind to the receptor to activate a variety of cell signaling pathways,by inhibiting cell apoptosis,reduce oxidative stress and play a protective role in the brain.Fulong Antithrombotic Pill,Shenfu Injection,Naotaitong Granule and others traditional Chinese medicine can regulate the treatment of BBB injury by VEGF regulation.This article reviewde the study progress of VEGF and its related pathways in ischemic brain injury,and the treatment of BBB injury by Chinese medicine by interventional VEGF and its related pathways,which provide a theoretical basis for the clinical treatment of cerebral ischemic abnormalities and the development of new drugs.

Objective: To optimize the method of simultaneous determination of four aflatoxins (B1, B2, G1 and G2) of ginger by the ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method and high-throughput method. Methods: The aflatoxins were extracted from ginger by methanol-water (80:20, V/V) solution, concentrated and dried with nitrogen. The aflatoxins were detected by UPLC-MS/MS by using Waters Acquity UPLC BEH C18 chromatographic column. The mobile phase was 0.1% formic acid water (A phase) -0.1% formic acid methanol (B phase), gradient elution, flow rate 0.35 ml/min, mass spectrometry was electrospray ion source, positive ion scanning mode, multi reaction ion monitoring were using. Results: Quantification of four aflatoxins by matrix matching standard curve. The linear was good in the range of 0.125-20.000 ng/ml, and the correlation coefficients were all greater than 0.999 0. The ginger sample detection was 0.125-0.300 μg/kg and 0.125-1.000 μg/kg, respectively. The average recoveries were 81.7%-96.0%, and the relative standard deviation (RSD) was lower than 7.53%. Conclusions This method is simple, rapid, sensitive and low limit of detection, which can meet the requirements for the detection of trace aflatoxins residues in ginger.

Objective To study the epidemiological characteristics of norovirus (NV) and rotavirus (RV) in children with diarrhea. Methods In this study, fecal specimens of 2 135 children with diarrhea admitted to our hospital from January 2019 to December 2019 were collected. The infection of NV and RV virus was detected by immunochromatography and ELISA, respectively. The epidemiological characteristics of RV virus. Results The total positive detection rate of 1 388 children was 65.01% (1 388/2 135), and the positive detection rate of RV virus was 34.52% (651/2 135), which was higher than 30.49% (737/2 135) of NV virus (χ²=7.895, P<0.05); there is no difference in the positive detection rate of NV virus among children of different genders (P>0.05), the positive detection rate of RV in males is 61.74%, higher than that of females 38.26% (χ²=25.318 , P<0.001); the age of children infected with NV and RV viruses are within 2 years old, and the cumulative positive detection rates are 64.21% (418/651) and 60.92% (449/737), which is higher than other ages (χ²=35.791, P<0.001); the high incidence season of NV virus is mainly winter, and the cumulative positive detection rate from October to December is 81.26% (529/651), higher than other seasons (χ²=173.426 , P<0.001), the high incidence season of RV virus is mainly spring and winter, the cumulative positive detection rate from November to March of the next year is 87.11% (642/737), higher than other seasons (χ²=252.628, P<0.001). Conclusion Spring and winter are the seasons of high incidence of viral diarrhea in children. Close monitoring of children under 2 years of age should be strengthened to prevent viral diarrhea early.

Objective To analyze the preventive and therapeutic effects of a traditional Chinese medicine Taohe Chengqi decoction on a rat models of hepatic encephalopathy ( HE) induced by thioacetamide ( TAA) .Methods The rat model of HE was established by intraperitoneal injection of TAA,and the effects of Taohe Chengqi decoction were observed by neurobehavioral changes,neurological test,blood ammonia,serum biochemical indexes,and liver and brain pathological examination.Results The rat model of hepatic encephalopathy was successfully established.Low, medium and high dose Taohe Chengqi decoction markedly improved neuro-reflexes and liver and brain pathological damages, and significantly decreased the HE staging and serum biochemical indexes, and the results of high dose group was the best, similar to that of positive drug-treatment group.Conclusions Taohe Chengqi decoction exhibits promising preventive and therapeutic effects on the rat model of TAA-induced hepatic encephalopathy, and these results provide substantial experimetal evidence for its clinical application.

Objective To investigate the effects of menaquinone-4(MK4)on the activation and function of CD8+T cells.Methods An in vitro culture system for primary mouse CD8+T cells was established by isolating these cells from the spleen using CD8a T cell isolation kit.The isolated CD8+T cells were then incubated and activated in a 96-well plate coated with anti-CD3/CD28 antibodies.The impact of MK4 on the activation and cytokine secretion of CD8+T cells was explored by quantifying the expression levels of CD8+T cell activation receptors and cytokines using flow cytometry.Additionally,the concentrations of these cytokines in the culture supernatant were measured by enzyme-linked immunosorbent assay(ELISA).The influence of MK4 on the anti-tumor function of CD8+T cells was evaluated by co-culturing colorectal cancer MC38 cells of mice with CD8+T cells at different ratios,and the effect of MK4 was assessed by detecting tumor cell apoptosis.Results High-purity primary CD8+T cells of mice(97.5％)were isolated using the magnetic bead,which could be activated by pre-coated CD3/CD28 antibodies and showed proliferation.Compared with the control group,the MK4-treated group exhibited increased expressions of CD25,CD69 and CD44 on CD8+T cells,as well as higher production and secretion levels of interleukin-2(IL-2),interferon-γ(IFN-γ),tumor necrosis factor-α(TNF-α)and granzyme B.In addition,CD8+T cells in the MK4-treated group induced a higher percentage of tumor cell apoptosis(36.7％)compared with the control group(29.1％).Conclusion MK4 can enhance the activation of CD8+T cells and promote anti-tumor functions.

The pathogenesis of diabetic peripheral neuropathy(DPN)is driven by environmental factors,which can induce epigenetic changes and make it a bridge between environment and gene expression.Hyperglycemia causes changes in DNA methylation,abnormal regulation of enzyme activity involved in his tone modification,and is associated with chromatin structural modification,leading to alterations in DPN gene expression.This article reviews the research progress of epigenetic effects on DPN.

Objective To investigate the value of CT calcification type of hepatic alveolar echinococcosis(HAE)for predicting its lymph node metastasis.Methods Totally 100 patients with HAE confirmed by surgical pathology were retrospectively collected,among them 50 with lymph node metastases were divided into metastasis group,while the other 50 with lymph node reactive hyperplasia into non-metastasis group.Patients'general data,as well as preoperative CT findings,including the number,location,the maximum diameter and calcification type of lesions were compared between groups.Multivariate logistic regression analysis was performed for clinical and CT features being significant different between groups to screen the independent predictors of HAE lymph node metastasis.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of CT calcification type alone and combining with other independent predictors for predicting node metastasis of HAE.Results A total of 62 groups of lymph node metastases were detected in 50 patients in metastasis group,including 39 cases with single group lymph node metastasis,10 cases with 2 groups lymph node metastasis and 1 case with 3 groups lymph node metastasis.There were significant differences of location,the maximum diameter and CT calcification type of HAE lesions within liver between groups(all P＜0.05),which were all independent predictors of HAE lymph node metastasis(all P＜0.05).The AUC of CT calcification type alone and combining with other independent predictors for predicting node metastasis of HAE was 0.757 and 0.859,respectively,which were significant different(P=0.002).Conclusion CT calcification type of HAE could effectively predict lymph node metastasis,and the predictive efficacy might be improved by combining location and maximum diameter of HAE lesions.

Objective:Through the analysis of the evaluation index system of the major rankings of universities and hospitals, this paper aims to provide a reference for the discipline construction of affiliated hospitals in universities.Methods:This paper comprehensively analyzes and compares the evaluation objectives and indicators of the five major rankings of universities and the three major rankings of hospitals in China and abroad.Results:Each main rankings have its own characteristics that both positive and with possible limitations.Conclusions:Hospital management departments can refer certain indicators in order to identify possible gaps of the hospital discipline development. Also, tailored corresponding measurements for discipline development can be developed in combination with real-needs.

To investigate the relationship between thrombospondin 1 （TSP1） and angiogenesis factors in acute cerebral infarction. Methods 107 cases of acute cerebral infarction in the Department of Neurology，the Second Affiliated Hospital of Zhengzhou University were selected as the case group，and 90 healthy people admitted to hospital for physical examination were selected as the control group. Enzyme-linked immunosorbent assay （ELISA） was used to detect TSP1，transforming growth factor （TGFα） and fibroblast growth factor 2（FGF2），and the expressions of the three were compared between the case group and the control group，as well as under different NIHSS scores；Spearman method was used to analyze the correlation between TSP1 and TGFα，FGF2；multivariate regression method was used to analyze the occurrence of cerebral infarction The risk factors of cerebral infarction；ROC curve analysis of TSP1，TGFα and FGF2 on the prognosis of cerebral infarction. Results TSP1，TGFα，FGF2 in the case group were higher than those in the control group，and the difference was statistically significant （P< 0.05）. NIHSS score grouping only had significant difference in TSP1 （P< 0.05），and mild group

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.