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1.
Yao Xue Xue Bao ; 51(6): 843-52, 2016 06.
Artigo em Chinês | MEDLINE | ID: mdl-29878736

RESUMO

The international cooperated research projects of the Human Microbiome Project (HMP) and Metagenomics of The Human Intestinal Tract (MetaHIT) were officially launched in 2007, which indicated the era of metagenomics research of microorganisms in human gastrointestinal tract had been coming. Each human body is a superorganism which is composed of 90% commensal microorganisms, especially the intestinal microorganisms. The intestinal microorganisms play an important role on health maintenance since they are involved in the absorption and metabolism of nutrients in the human bodies. Herein, we review the research progress in the mechanism of intestinal microorganisms in human diseases. Our purpose is to provide novel ideas on human health and therapeutic targets of diseases.


Assuntos
Microbioma Gastrointestinal , Intestinos/microbiologia , Metagenômica , Humanos , Simbiose
2.
Zhongguo Zhong Yao Za Zhi ; 41(10): 1766-1772, 2016 May.
Artigo em Chinês | MEDLINE | ID: mdl-28895319

RESUMO

A large number and wide varieties of microorganisms colonize in the human gastrointestinal tract. They construct an intestinal microecological system in the intestinal environment. The intestinal symbiotic flora regulates a series of life actions, including digestion and absorption of nutrient, immune response, biological antagonism, and is closely associated with the occurrence and development of many diseases. Therefore, it is greatly essential for the host's health status to maintain the equilibrium of intestinal microecological environment. After effective compositions of traditional Chinese medicines are metabolized or biotransformed by human intestinal bacteria, their metabolites can be absorbed more easily, and can even decrease or increase toxicity and then exhibit significant different biological effects. Meanwhile, traditional Chinese medicines can also regulate the composition of the intestinal flora and protect the function of intestinal mucosal barrier to restore the homeostasis of intestinal microecology. The relevant literatures in recent 15 years about the interactive relationship between traditional Chinese medicines and gut microbiota have been collected in this review, in order to study the classification of gut microflora, the relationship between intestinal dysbacteriosis and diseases, the important roles of gut microflora in intestinal bacterial metabolism in effective ingredients of traditional Chinese medicines and bioactivities, as well as the modulation effects of Chinese medicine on intestinal dysbacteriosis. In addition, it also makes a future prospect for the research strategies to study the mechanism of action of traditional Chinese medicines based on multi-omics techniques.


Assuntos
Medicamentos de Ervas Chinesas/farmacologia , Microbioma Gastrointestinal/efeitos dos fármacos , Medicina Tradicional Chinesa , Disbiose/tratamento farmacológico , Humanos , Mucosa Intestinal/efeitos dos fármacos , Intestinos/microbiologia
3.
Chin J Nat Med ; 13(1): 3-21, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25660284

RESUMO

In the post-genomic era, biological studies are characterized by the rapid development and wide application of a series of "omics" technologies, including genomics, proteomics, metabolomics, transcriptomics, lipidomics, cytomics, metallomics, ionomics, interactomics, and phenomics. These "omics" are often based on global analyses of biological samples using high through-put analytical approaches and bioinformatics and may provide new insights into biological phenomena. In this paper, the development and advances in these omics made in the past decades are reviewed, especially genomics, transcriptomics, proteomics and metabolomics; the applications of omics technologies in pharmaceutical research are then summarized in the fields of drug target discovery, toxicity evaluation, personalized medicine, and traditional Chinese medicine; and finally, the limitations of omics are discussed, along with the future challenges associated with the multi-omics data processing, dynamics omics analysis, and analytical approaches, as well as amenable solutions and future prospects.


Assuntos
Pesquisa Biomédica/métodos , Genômica , Metabolômica , Farmacologia , Proteômica , Perfilação da Expressão Gênica
4.
Guang Pu Xue Yu Guang Pu Fen Xi ; 33(8): 2092-5, 2013 Aug.
Artigo em Chinês | MEDLINE | ID: mdl-24159853

RESUMO

The wool and cashmere samples (n = 130) from different areas of Gansu province were identified by visible and near-infrared reflectance spectroscopy (Vis/NIRs). The result shows that principal component-mahalanobis distance pattern can identify the wool and cashmere, and the boundary between two categories was clear; The calibration set samples were used to establish calibration qualitative model using PCR combined with the best pretreatment of the spectra and math, including multivariate scattering correction (MSC), first derivative, eight for the best principal component factor, one for uncertainty factor, this calibration model of the predicted was the best, and the result of the external validation was correct completely. Results from this experiment indicate that Vis/NIRs can be utilized to identify the wool and cashmere.


Assuntos
Espectroscopia de Luz Próxima ao Infravermelho/métodos , Lã/química , Animais , Calibragem , Cabras , Análise de Componente Principal , Controle de Qualidade , Ovinos
5.
Burns ; 36(7): 992-8, 2010 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-20537801

RESUMO

INTRODUCTION: Early diagnosis and treatment for thermal injury with septic complications continue to be a serious clinical problem. In this study, plasma biomarkers of rats in the burn and/or septic models were investigated with a metabolomic method. METHODS: Rat plasma samples were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Multivariate analysis, the principal components analysis (PCA), was used to validate metabolic changes. In addition, another multivariate method, the orthogonal partial least-squares analysis (OPLS), was used to profile potential biomarkers in models. RESULTS: Nine characteristic metabolites, including hypoxanthine, indoxyl sufate, glucuronic acid, gluconic acid, proline, uracil, nitrotyrosine, uric acid, and trihydroxy cholanoic acid were identified in models of thermal injury and/or sepsis. CONCLUSION: These biomarkers were mainly involved in oxidative stress and tissue damage, and might supply evidence for distinguishing burned septic patients from non-septic ones.


Assuntos
Queimaduras/sangue , Sepse/sangue , Aminoácidos/sangue , Animais , Biomarcadores/sangue , Ácidos Carboxílicos/sangue , Cromatografia Líquida de Alta Pressão/métodos , Modelos Animais de Doenças , Compostos Heterocíclicos/sangue , Masculino , Espectrometria de Massas , Metabolômica/métodos , Ratos , Ratos Sprague-Dawley , Sepse/diagnóstico
6.
Bioorg Med Chem ; 18(2): 744-54, 2010 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-20022253

RESUMO

Twenty-five new (abiesadines A-Y, 1-25) and 29 known (26-54) diterpenes were isolated from the aerial parts of Abies georgei. Abiesadine A (1) is a novel 8,14-seco-abietane, while abiesadine B (2) is a novel 9,10-seco-abietane. The structures of the new compounds were established on the basis of spectroscopic data analysis. Manool (52) showed the strongest effect against LPS-induced NO production in RAW264.7 macrophages with the IC(50) value of 11.0microg/mL. In another anti-inflammatory assay against TNFalpha-triggered NF-kappaB activity, (12R,13R)-8,12-epoxy-14-labden-13-ol (54) exhibited the strongest effect (IC(50)=8.7microg/mL). For antitumor assays, pomiferin A (26) and 8,11,13-abietatriene-7alpha,18-diol (29) both showed the most significant activity against LOVO cells (IC(50)=9.2microg/mL). While 7-oxocallitrisic acid (46) exhibited significant cytotoxicity against QGY-7703 tumor cells (IC(50)=10.2microg/mL).


Assuntos
Abies/química , Anti-Inflamatórios/farmacologia , Antineoplásicos/farmacologia , Diterpenos/farmacologia , Anti-Inflamatórios/química , Anti-Inflamatórios/isolamento & purificação , Antineoplásicos/química , Antineoplásicos/isolamento & purificação , Linhagem Celular Tumoral , Diterpenos/química , Diterpenos/isolamento & purificação , Ensaios de Seleção de Medicamentos Antitumorais , Humanos , Estrutura Molecular , Estereoisomerismo , Relação Estrutura-Atividade
7.
Int J Cancer ; 127(12): 2841-50, 2010 Dec 15.
Artigo em Inglês | MEDLINE | ID: mdl-21351263

RESUMO

The prediction of chemosensitivity is a challenging problem in the management of cancer. In the present study, a metabonomic approach was proposed to assess the feasibility of chemosensitivity prediction in a human xenograft model of gastric cancer. BALB/c-nu/nu mice were transplanted with MKN-45 cell line to establish the xenograft model. The mice were then randomized into treatment group (cisplatin and 5-fluorouracil) and control group (0.9% sodium chloride), and their plasma were collected before treatment. Metabolic profiles of all plasma samples were acquired by using high-performance liquid chromatography coupled with a quadrupole time-of-flight mass spectrometer (HPLC/Q-TOF-MS). Based on the data of metabolic profiles and k-Nearest Neighbor algorithm, a prediction model for chemosensitivity was developed and an average accuracy of 90.4% was achieved. In addition, a series of endogenous metabolites, including 1-acyl-lysophosphatidycholines, polyunsaturated fatty acids and their derivatives, were determined as potential indicators of chemosensitivity. In conclusion, our results suggest that the proposed metabonomic approach allows effective chemosensitivity prediction in human xenograft model of gastric cancer. The approach presents a new concept in the chemosensitivtiy prediction of cancer and is expected to be developed as a powerful tool in the personalized cancer therapy.


Assuntos
Adenocarcinoma/tratamento farmacológico , Adenocarcinoma/metabolismo , Protocolos de Quimioterapia Combinada Antineoplásica/farmacologia , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Metabolômica , Neoplasias Gástricas/tratamento farmacológico , Neoplasias Gástricas/metabolismo , Adenocarcinoma/patologia , Animais , Biomarcadores Tumorais/metabolismo , Cisplatino/administração & dosagem , Fluoruracila/administração & dosagem , Humanos , Camundongos , Camundongos Endogâmicos BALB C , Camundongos Nus , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz , Neoplasias Gástricas/patologia , Células Tumorais Cultivadas , Ensaios Antitumorais Modelo de Xenoenxerto
8.
Eur J Pharmacol ; 615(1-3): 61-5, 2009 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-19358840

RESUMO

Peripheral nerve injury, which gives rise to persistent chronic pain, has become an area of intense research activity, largely because it represents a disorder with a high unmet medical need. In this study, serum biomarkers of the spinal nerve ligation model were successfully investigated with the metabolomic method. The regulatory effect of gabapentin, a novel clinical antineuralgia drug, on biomarker levels in serum was also investigated. Rat serum extract samples were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). A method of supervised multivariate analysis, the partial least squares-discrimination analysis (PLS-DA), was used to validate metabolic changes. In addition, another multivariate method, the orthogonal partial least-squares analysis (OPLS), was used to monitor the real biological variability and to detect potential biomarkers in the spinal nerve ligation model. The results demonstrated that the spinal nerve ligation model had several discriminating ions compared with the control model. Among the detectable metabolites, levels of norepinephrine were increased in the spinal nerve ligation model and were decreased to control levels by gabapentin.


Assuntos
Aminas/farmacologia , Analgésicos/farmacologia , Biomarcadores/sangue , Ácidos Cicloexanocarboxílicos/farmacologia , Doenças do Sistema Nervoso Periférico/sangue , Nervos Espinhais/lesões , Ácido gama-Aminobutírico/farmacologia , Animais , Cromatografia Líquida de Alta Pressão , Modelos Animais de Doenças , Gabapentina , Injeções Intraperitoneais , Ligadura , Masculino , Metabolômica , Análise Multivariada , Norepinefrina/sangue , Doenças do Sistema Nervoso Periférico/etiologia , Ratos , Ratos Sprague-Dawley , Soro , Espectrometria de Massas em Tandem
9.
NMR Biomed ; 22(6): 601-8, 2009 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-19322815

RESUMO

This study proposes an NMR-based metabonomic approach to early prognostic evaluation of sepsis. Forty septic rats receiving cecal ligation and puncture (CLP) were divided into the surviving group and nonsurviving group on day 6, while 20 sham-operated rats served as the control group. Serum samples were collected from septic and sham-operated rats at 12 h after surgery and analyzed using (1)H NMR spectroscopy. Orthogonal partial least squares (OPLS) were applied and showed clustering according to predefined groups, indicating that NMR-based metabolic profiling could reveal pathologic characteristics in the serum of sham-operated, surviving, and nonsurviving septic rats. In addition, six characteristic metabolites including lactate, alanine, acetate, acetoacetate, hydroxybutyrate, and formate, which are mainly involved in energy metabolism, changed markedly in septic rats, especially in the nonsurvivors. Using these metabolites, a predictive model for prognostic evaluation of sepsis was constructed using a radial basis function neural network (RBFNN) with a prediction accuracy of about 87% by test samples. The results indicated that the NMR-based metabonomic approach is a potential technique for the early prognostic evaluation of sepsis.


Assuntos
Metabolômica/métodos , Ressonância Magnética Nuclear Biomolecular , Sepse , Animais , Humanos , Masculino , Prognóstico , Distribuição Aleatória , Ratos , Ratos Sprague-Dawley , Sensibilidade e Especificidade , Sepse/diagnóstico , Sepse/metabolismo , Sepse/fisiopatologia , Soro/química , Soro/metabolismo , Taxa de Sobrevida
10.
J Infect ; 56(6): 474-81, 2008 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-18471887

RESUMO

OBJECTIVES: Early prognostic evaluation of sepsis is an attractive strategy to decrease the mortality of septic patients, but presently there are no satisfactory approaches. Our goal is to establish an early, rapid and efficient approach for prognostic evaluation of sepsis. METHODS: Forty-five septic rats, induced by cecal ligation and puncture, were divided into surviving (n=23) and nonsurviving group (n=22) on day 6. Serum samples were obtained from septic and sham-operated rats (n=25) at 12h after surgery. HPLC/MS assays were performed to acquire serum metabolic profiles, and radial basis function neural network (RBFNN) was employed to build predictive model for prognostic evaluation of sepsis. RESULTS: Principle component analysis allows a clear discrimination of the pathologic characteristics among rats from surviving, nonsurviving and sham-operated groups. Six metabolites related to the outcome of septic rats were then structurally identified, which included linolenic acid, linoleic acid, oleic acid, stearic acid, docosahexaenoic acid and docosapentaenoic acid. A RBFNN model was built upon the metabolic profile data from rat serum, and a high predictive accuracy over 94% was achieved. CONCLUSIONS: HPLC/MS-based metabonomic approach combined with pattern recognition permits accurate outcome prediction of septic rats in the early stage. The proposed approach has advantages of rapid, low-cost and efficiency, and is expected to be applied in clinical prognostic evaluation of septic patients.


Assuntos
Metabolismo/fisiologia , Sepse/metabolismo , Animais , Cromatografia Líquida de Alta Pressão , Masculino , Espectrometria de Massas , Análise de Componente Principal , Prognóstico , Distribuição Aleatória , Ratos , Ratos Sprague-Dawley , Sepse/sangue , Organismos Livres de Patógenos Específicos
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