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1.
Acta cir. bras ; 37(3): e370304, 2022. tab, graf, ilus
Artigo em Inglês | VETINDEX | ID: biblio-1374075

Resumo

Purpose: To investigate the protective effects of Shenkang injection (SKI) on adenine-induced chronic renal failure (CRF) in rat. Methods: Sprague Dawley rats were randomly divided into five groups: control, model, and SKI groups (5, 10, 20 mL/kg). Rats in model and SKI groups were treated with adenine i.g. at a dose of 150 mg/kg every day for 12 weeks to induce CRF. Twelve weeks later, SKI was administered to the rat i.p. for four weeks. The effects of SKI on kidney injury and fibrosis were detected. Results: SKI inhibited the elevation of the urine level of N-acetyl-b-D-glucosaminidase, kidney injury molecule-1, beta-2-microglobulin, urea protein in CRF rats. The serum levels of uric acid and serum creatinine increased and albumin decreased in the model group, which was prevented by SKI. SKI inhibited the release of inflammatory cytokines and increasing the activities of antioxidant enzymes in serum. SKI inhibited the expression of transforming growth factor-β1, vascular cell adhesion molecule 1, intercellular adhesion molecule 1, collagen I, collagen III, endothelin-1, laminin in kidney of CRF rats. Conclusions: SKI protected against adenine-induced kidney injury and fibrosis and exerted anti-inflammatory, and antioxidant effects in CRF rats.


Assuntos
Animais , Ratos , Fibrose , Ratos Sprague-Dawley , Falência Renal Crônica
2.
Acta cir. bras. ; 36(1): e360105, 2021. graf, ilus
Artigo em Inglês | VETINDEX | ID: vti-30542

Resumo

Purpose To investigate the relationship between atherosclerotic abdominal aortic aneurysm (AAA) and CXC chemokine receptor type 2 (CXCR2). Methods Mouse AAA model was established by embedding angiotensin-II pump (1000 ng/kg/min) in ApoE-/- mice. Mice were received SB225002, a selective CXCR2 antagonist, for treatment. Blood pressure was recorded, and CXCR2+ macrophages were examined by flow cytometry analysis. Terminal-deoxynucleotidyl transferase mediated nick end labeling (TUNEL) staining was performed to detect cell apoptosis of abdominal aortic aneurysms. Macrophages were isolated from ApoE-/- mice and treated with Ang II and/or SB225002. Dihydroethidium staining was carried out to determine reactive oxygen species (ROS) activity. Enzyme-linked immunosorbent assay (ELISA) was performed to determine the production of IL-1 and TNF-. The corresponding gene expressions were measured using real-time polymerase chain reaction (PCR), western blot, and immunohistochemistry staining. Results We found that Ang II activated the expression of CXCR2 in monocytes during the formation of AAA. Inhibition of CXCR2 significantly reduced the size of AAA, attenuated inflammation and phenotypic changes in blood vessels. Ang II-induced macrophages exhibited elevated ROS activity, and elevated levels of 1 and TNF-, which were then partly abolished by SB225002. Conclusions CXCR2 plays an important role in AAA, suggesting that inhibiting CXCR2 may be a new treatment for AAA.(AU)


Assuntos
Animais , Camundongos , Receptores de Interleucina-8B/administração & dosagem , Aneurisma da Aorta Abdominal/veterinária , Aneurisma da Aorta Abdominal/terapia , Angiotensina II
3.
Semina ciênc. agrar ; 41(6): 2587-2596, nov.-dez. 2020. tab, graf
Artigo em Inglês | VETINDEX | ID: biblio-1372083

Resumo

To explore the relationship between environmental factors in a greenhouse on sunny/cloudy days, an environmental factor model was developed using path analysis and stepwise regression analysis. The environmental factors studied include greenhouse air temperature (GAT), greenhouse air humidity (GAH), soil temperature (ST), soil humidity (SH), greenhouse radiation (GR), and carbon dioxide concentration (CDC). The results showed that on a sunny day, the models can describe the GAT and GAH well (R2 =0.957, 0.936), and the model's tested determination coefficient was above 0.87. However, due to the delay and other main control factors of ST and SH, the models' determination coefficient was poor (R2 =0.587, 0.625). However, there was a fifth-order polynomial fitting relationship between ST and SH (R2 =0.817). On a cloudy day, the coupling effect between dependent variables and environmental factors was well described (R2 =0.97). The model test results for GAT and ST were better (R2 =0.997, 0.981), and the GAH and SH model test results were also good (R2 =0.789,0.882). In summary, the established coupling model of greenhouse environmental factors was suitable for simple greenhouse environment prediction, allowing greenhouse managers to easily predict greenhouse environmental change trends and reduce the cost of testing, laying a foundation for the subsequent establishment of a simpler, more accurate greenhouse factor model.(AU)


Para explorar a relação entre fatores ambientais em casa de vegetação em dias ensolarados / nublados, foi obtido o modelo de fatores ambientais, utilizando análise de caminho e análise de regressão passo a passo. Os principais fatores ambientais incluem temperatura do ar da estufa (GAT), umidade do ar da estufa (GAH), temperatura do solo (ST), umidade do solo (SMC), radiação do efeito estufa (GR), concentração de dióxido de carbono (CDC). Os resultados mostraram que: Em um dia ensolarado, os modelos puderam descrever o poço GAT e GAH (R2 =0.957, 0.936). O coeficiente de determinação do teste do modelo foi superior a 0.87. No entanto, devido ao atraso e outros fatores de controle principais de ST e SH, o coeficiente de determinação dos modelos foi ruim (R2 =0.587, 0.625). No entanto, verificouse que havia uma relação de ajuste polinomial de quinta ordem entre ST vs SH (R2 =0.817). Em um dia nublado, o efeito de acoplamento entre variáveis dependentes e fatores ambientais foi bem descrito (R2 =0.97), o teste do modelo GAT e ST foi melhor (R2 =0.997,0.981), o teste GAH e SH também foi bom (R2 =0.789,0.882). Em resumo, o modelo de acoplamento dos fatores ambientais da estufa estabelecido foi adequado para a previsão simples do ambiente da estufa, facilitando para os gerentes da estufa prever a tendência das mudanças ambientais da estufa e reduzir o custo do teste, além de estabelecer as bases para o estabelecimento subsequente de um modelo de fator de efeito estufa mais preciso e simplificado.(AU)


Assuntos
Temperatura , Análise de Regressão , Efeito Estufa , Umidade do Solo , Meio Ambiente
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