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1.
China Journal of Chinese Materia Medica ; (24): 5032-5040, 2023.
Artigo em Chinês | WPRIM | ID: wpr-1008673

RESUMO

This study aimed to explore the possible effect of Xixin Decoction(XXD) on the learning and memory ability of Alzheimer's disease(AD) model senescence-accelerated mouse-prone 8(SAMP8) and the related mechanism in enhancing neuroprotective effect and reducing neuroinflammation. Forty SAMP8 were randomly divided into a model group(10 mL·kg~(-1)·d~(-1)), a probiotics group(0.39 g·kg~(-1)·d~(-1)), a high-dose group of XXD granules(H-XXD, 5.07 g·kg~(-1)·d~(-1)), a medium-dose group of XXD granules(M-XXD, 2.535 g·kg~(-1)·d~(-1)), and a low-dose group of XXD granules(L-XXD, 1.267 5 g·kg~(-1)·d~(-1)). Eight senescence-accelerated mouse-resistant 1(SAMR1) of the same age and strain were assigned to the control group(10 mL·kg~(-1)·d~(-1)). After ten weeks of intragastric administration, the Morris water maze was used to test the changes in spatial learning and memory ability of mice after treatment. Meanwhile, immunofluorescence staining was used to detect the positive expression of receptor for advanced glycation end products(AGER), Toll-like receptor 1(TLR1), and Toll-like receptor 2(TLR2) in the hippocampal CA1 region of mice. Western blot was employed to test the protein expression levels of silencing information regulator 2 related enzyme 1(SIRT1), AGER, TLR1, and TLR2 in the hippocampus of mice. Enzyme linked immunosorbent assay(ELISA) was applied to assess the levels of Aβ_(1-42) in the hippocampus of mice and the levels of nuclear factor κB p65(NF-κB p65), NOD-like receptor protein 3(NLRP3), tumor necrosis factor-α(TNF-α), and interleukin-1β(IL-1β) in the serum and hippocampus of mice. Compared with the model group, XXD significantly improved the spatial learning and memory ability of SAMP8, increased the expression of neuroprotective factors in the hippocampus, decreased the levels of neuroinflammatory factors, and inhibited the expression of Aβ_(1-42). In particular, H-XXD significantly increased the expression of SIRT1 in the hippocampus of mice, reduced the expression levels of NF-κB p65, NLRP3, TNF-α, and IL-1β in the serum and hippocampus of mice, and decreased the expression of AGER, TLR1, and TLR2 in the hippocampus of mice(P<0.05 or P<0.01). XXD may improve the spatial learning and memory ability of AD model SAMP8 by enhancing the neuroprotective effect and inhibiting neuroinflammation.


Assuntos
Humanos , Fármacos Neuroprotetores/uso terapêutico , Sirtuína 1/metabolismo , Receptor 2 Toll-Like/metabolismo , NF-kappa B/metabolismo , Fator de Necrose Tumoral alfa/metabolismo , Doenças Neuroinflamatórias , Proteína 3 que Contém Domínio de Pirina da Família NLR/metabolismo , Receptor 1 Toll-Like/metabolismo , Doença de Alzheimer/genética , Hipocampo
2.
Cancer Research on Prevention and Treatment ; (12): 600-606, 2021.
Artigo em Chinês | WPRIM | ID: wpr-988417

RESUMO

Objective To explore the correlation between EBV DNA load and peripheral immune cells (including lymphocyte supsets and natural killer cells) before treatment in patients with NPC, and analyze the influence of circulating immune cell supsets related to EBV on the prognosis of NPC patients. Methods We retrospectively analyzed the general data of 203 NPC patients without distant metastasis at the first treatment, as well as the data of peripheral blood EBV DNA and circulating immune cell supset. The ROC curve analysis was used to determine the cutoff value of each circulating immune cell supset. Kaplan-Meier method was used for survival analysis, and Cox regression model was used for multi-factor prognostic correlation analysis. Results The 3-year OS, PFS, DMFS and LRFS of EBV DNA < 400 copies/ml group and EBV DNA≥400 copies/ml group were 99.2% vs. 90.1% (P=0.001), 96.7% vs. 90.1% (P=0.028), 98.4% vs. 90.1% (P=0.005) and 98.4% vs. 100% (P > 0.05), respectively. EBV DNA is negatively correlated with the ratio of CD19+ B cells before treatment (r=-0.138, P=0.040), and there was no significant correlation between EBV DNA and other circulating immune supgroups (P > 0.05). ROC analysis showed that the cut-off value of CD19+B cell ratio before treatment related to the 3-year OS was 8.33% (P=0.02). The 3-year OS, PFS, DMFS and LRFS of patients with CD19+B cells ratio ≤8.33% and CD19+B cells ratio > 8.33% were respectively 90.4% vs. 99.2% (P=0.003), 89.2% vs. 97.5% (P=0.008), 90.4% vs. 98.3% (P=0.008) and 98.8% vs. 99.2% (P > 0.05). However, ROC analysis showed that there was no significant correlation between OS and other peripheral immune cells (including the proportion of CD3+T, CD3+CD4+T, CD3+CD8+T and CD56+NK cells and CD4+/CD8+ ratio). Multivariate analysis showed that EBV DNA load was an independent prognostic factor of 3-year PFS of NPC patients, and the ratio of CD19+B cells was an independent prognostic factor of 3-year PFS, MFS and OS of NPC patients. Conclusion Before treatment, there is a negative correlation between plasma EBV DNA and the proportion of CD19+B cells in peripheral blood. Both can be used as the predictors of 3-year OS, PFS and DMFS of NPC patients.

3.
Acta Academiae Medicinae Sinicae ; (6): 808-814, 2021.
Artigo em Chinês | WPRIM | ID: wpr-921542

RESUMO

Cerebral metastases are the most common intracranial tumors in adults,with an increasing incidence in recent years.Radiomics can quantitatively analyze and process medical images to guide clinical practice.In recent years,CT and MRI-based radiomics has been gradually applied to the precise diagnosis and treatment of cerebral metastases,such as the precise detection and segmentation of tumors,the differential diagnosis with other cerebral tumors,the identification of primary tumors,the evaluation of treatment efficacy,and the prediction of prognosis.This article reviews the advances in radiomics of cerebral metastases.


Assuntos
Humanos , Neoplasias Encefálicas/diagnóstico por imagem , Diagnóstico Diferencial , Imageamento por Ressonância Magnética , Prognóstico , Neoplasias Supratentoriais
4.
Acta Academiae Medicinae Sinicae ; (6): 242-246, 2020.
Artigo em Chinês | WPRIM | ID: wpr-826375

RESUMO

Artificial intelligence (AI) represents the latest wave of computer revolution and is considered revolutionary technology in many industries including healthcare. AI has been applied in medical imaging mainly due to the improvement of computational learning,big data mining,and innovations of neural network architecture. AI can improve the efficiency and accuracy of imaging diagnosis and reduce medical cost;also,it can be used to predict the disease risk. In this article we summarize and analyze the application of AI in musculoskeletal imaging.


Assuntos
Humanos , Inteligência Artificial , Sistema Musculoesquelético , Diagnóstico por Imagem , Redes Neurais de Computação
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