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Trials ; 22(1): 545, 2021 Aug 18.
Artigo em Inglês | MEDLINE | ID: mdl-34407832


BACKGROUND: Proton pump inhibitor (PPI) is effective for the treatment of nonerosive gastroesophageal reflux (NERD), but long-term use of PPI is prone to have complications and recurrence after withdrawal. Traditional Chinese medicine (TCM) can relieve the symptoms of reflux and improve the quality of life. The purpose of this study is to evaluate the safety and efficacy of Hewei Jiangni recipe (HWJNR) in the treatment of NERD with cold-heat complex syndrome, and clarify the mechanism of HWJNR on NERD based on the correlation analysis of intestinal flora and metabolites. METHODS: This is a single-center, randomized controlled, double-blind, placebo-controlled clinical trial in which 72 eligible participants with NERD and TCM syndrome of intermingled heat and cold will be randomly allocated in the ratio of 1:1 to two groups: TCM group and western medicine group. The TCM group will receive HWJNR with omeprazole enteric-coated tablets placebo, while the western medicine group will receive omeprazole enteric-coated tablets with HWJNR placebo. Each group will be treated for 8 weeks. The primary outcome is the score of gastroesophageal reflux disease (GERD) health-related quality of life questionnaire (GERD-Q). Secondary outcomes include SF-36 quality of life scale (SF-36), patient-reported outcomes (PRO) self-rating scale score, syndrome score of TCM, and adverse events. Mechanistic outcome is the correlation analysis of intestinal flora and metabolites from healthy individuals and NERD participants before and after the treatment respectively. DISCUSSION: The goal of this trial is to investigate the efficacy and safety of HWJNR in the treatment of NERD with cold-heat complex syndrome, and to study the composition structure and metabolite expression profile of intestinal flora in patients with NERD through 16SrRNA sequencing and metabolomic correlation analysis of fecal flora, which makes us identify the dominant links of treatment and reveal the potential mechanism of HWJNR. ChiCTR2000041225 . Registered on 22 December 2020.

Medicamentos de Ervas Chinesas , Qualidade de Vida , China , Método Duplo-Cego , Medicamentos de Ervas Chinesas/efeitos adversos , Temperatura Alta , Humanos , Ensaios Clínicos Controlados Aleatórios como Assunto , Resultado do Tratamento
Am J Chin Med ; 36(6): 1135-44, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-19051341


To evaluate the effect of gingko biloba (EGb) on diethylstilbestrol (DES) induced testicle injury in mice. Fifty male mice were divided into a control group (A), DES group (B), and 3 EGb groups (C, D, E). The EGb-treated groups received peritoneal EGb at 8.75 (C), 17.5 (D), 35 mg/kg (E) BW daily for 7 days. The control group was given equivalent amount of normal saline. The mice in groups B, C, D and E were injected hypodermically with DES at 40 mg/kg BW daily 4 hours after the first herbal administration, while the control was given olive oil. Compared with DES group, the testis coefficients-relative testicular weight increased in the three EGb-treated groups. No significant difference was observed in epididymis coefficients. Lipid peroxidation status and antioxidant enzyme activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) were significantly elevated in testes of EGb-treated groups. Lactate dehydrogenase (LDH) activities and malonaldehyde (MDA) contents were significantly decreased in testes of the EGb groups. The results indicate that EGb protects the testis from diethylstilbestrol-induced injury.

Medicamentos de Ervas Chinesas/farmacologia , Ginkgo biloba/química , Doenças Testiculares/tratamento farmacológico , Animais , Antioxidantes , Dietilestilbestrol , Medicamentos de Ervas Chinesas/química , Glutationa Peroxidase/metabolismo , L-Lactato Desidrogenase/metabolismo , Peroxidação de Lipídeos , Masculino , Camundongos , Camundongos Endogâmicos BALB C , Tamanho do Órgão , Distribuição Aleatória , Superóxido Dismutase/metabolismo , Doenças Testiculares/induzido quimicamente , Doenças Testiculares/metabolismo , Testículo/patologia
Plant Physiol ; 134(2): 560-74, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-14966246


Proteomics studies to explore global patterns of protein expression in plant and green algal systems have proliferated within the past few years. Although most of these studies have involved mapping of the proteomes of various organs, tissues, cells, or organelles, comparative proteomics experiments have also led to the identification of proteins that change in abundance in various developmental or physiological contexts. Despite the growing use of proteomics in plant studies, questions of reproducibility have not generally been addressed, nor have quantitative methods been widely used, for example, to identify protein expression classes. In this report, we use the de-etiolation ("greening") of maize (Zea mays) chloroplasts as a model system to explore these questions, and we outline a reproducible protocol to identify changes in the plastid proteome that occur during the greening process using techniques of two-dimensional gel electrophoresis and mass spectrometry. We also evaluate hierarchical and nonhierarchical statistical methods to analyze the patterns of expression of 526 "high-quality," unique spots on the two-dimensional gels. We conclude that Adaptive Resonance Theory 2-a nonhierarchical, neural clustering technique that has not been previously applied to gene expression data-is a powerful technique for discriminating protein expression classes during greening. Our experiments provide a foundation for the use of proteomics in the design of experiments to address fundamental questions in plant physiology and molecular biology.

Cloroplastos/genética , Proteômica/métodos , Zea mays/genética , Cloroplastos/metabolismo , Perfilação da Expressão Gênica/métodos , Perfilação da Expressão Gênica/estatística & dados numéricos , Filogenia , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Proteômica/estatística & dados numéricos , Projetos de Pesquisa/estatística & dados numéricos , Zea mays/metabolismo