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1.
Electron. j. biotechnol ; 52: 52-58, July. 2021. tab, ilus
Artículo en Inglés | LILACS | ID: biblio-1283505

RESUMEN

BACKGROUND: Osteoporosis attacks approximately 10% of the population worldwide. Sika Deer (Cervus nippon), one of China's precious traditional medicinal animals, has been widely recorded in ancient Chinese medical books and claimed for centuries to have numerous medical benefits including bone strengthening. This study aimed to find the use of Sika Deer bone in treating osteoporosis according to traditional records and to investigate the protective effect of Sika Deer bone polypeptide extract on glucocorticoidinduced osteoporosis (GIOP) in rats. RESULTS: Sika Deer bone polypeptide extract could increase serum Ca2+ and BGP, decrease serum P3+, ALP, PTH, and CT, but had no effect on serum NO in rats with GIOP. The immunohistochemical iNOS results of the rats' distal femur were negative in each group. Besides the model group, the eNOS color reaction in osteoblasts was strongly positive in the other three groups. CONCLUSIONS: Sika Deer bone polypeptide extract can improve pathological changes in the microstructure and stimulate the expression of eNOS in osteoblasts. The protective effect on bone might be mediated by eNOS-dependent NO generation.


Asunto(s)
Animales , Masculino , Ratas , Osteoporosis/prevención & control , Péptidos/farmacología , Huesos/metabolismo , Ciervos , Osteoblastos , Dexametasona , Ratas Wistar , Óxido Nítrico Sintasa de Tipo III/efectos de los fármacos
2.
Electron. j. biotechnol ; 45: 53-59, May 15, 2020. tab, ilus
Artículo en Inglés | LILACS | ID: biblio-1177447

RESUMEN

BACKGROUND: Helicobacter pylori is a chronic pathogenic bacteria that causes gastric mucosal damage through various host-related and pathogen-related factors. Thus, a single gene research cannot fully explain its pathogenicity. PURPOSE OF STUDY: It is necessary to establish a Helicobacter pylori pathogenic gene transcription factor regulatory network (TFRN) and study its central nodes. RESULTS: The expression data of Helicobacter pylori pathogenic genes were obtained through GEO Datasets of NCBI. The genes were screened using linear model-empirical Bayesian statistics in R language Limma package combined with the conventional t-test; the results identified 1231 differentially expressed genes. The functional analysis (gene ontology-analysis) and signal pathway analysis (pathway-analysis) of differentially expressed genes were performed using the DAVID and KEGG databases, respectively. The pathogenic gene regulatory network was constructed by integrating transcriptional regulatory element database (TRED); the disease-related analysis of the pathogenic genes was conducted using the DAVID annotation tool. Five pathogenic genes (Nos2, Il5, Colla1, Tnf, and Nfkb1) and their transcription factors (Jun, Cebpa, Egrl, Ppara, and Il6) were found to suppress the host immune function and enhance the pathogenicity of Helicobacter pylori by regulating the host immune system. CONCLUSIONS: This effect was largely mediated via three signaling pathways: Tnf pathway, PI3K Akt pathway, and Jak­STAT pathway. The pathogenicity of Helicobacter pylori is closely related to the body's immune and inflammatory system. A better understanding of the correlation of the pathogenic factors with the host immune and inflammatory factors may help to determine the precise pathogenic mechanism of H. pylori infection.


Asunto(s)
Helicobacter pylori/genética , Helicobacter pylori/patogenicidad , Biología Computacional , Factores de Transcripción , Citocinas , Factores de Virulencia , Gastritis/inmunología , Gastritis/microbiología , Genes Bacterianos , Sistema Inmunológico , Inflamación
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