OBJECTIVE; To observe the influence of Qingrehuatan decoction (QRHT) on serum metabolic profile in young essential hypertension (YEH) patients with abundant phlegm-heat syndrome and provide a basis for treatment w...OBJECTIVE; To observe the influence of Qingrehuatan decoction (QRHT) on serum metabolic profile in young essential hypertension (YEH) patients with abundant phlegm-heat syndrome and provide a basis for treatment with the decoction. METHODS: Twelve male YEH patients were randomly selected and serum samples were collected for examination before and after 4 weeks of thetreatment with QRHT. Twelve healthy males were randomly selected and their serum samples were collected as a control. All serum samples were detected using metabolomic technology with 1H nuclear magnetic resonance. Differences in metabo- lites were studied by principal component analysis and partial least squares-discriminate analysis, which produced scores and Ioadings plots.RESULTS: After 4 weeks of treatment, serum substances could be distinguished between the YEH patients with abundant phlegm-heat syndrome and the control patients. The specific serum endogenous metabolites tended to improve after the treatment. QRHT can appropriately increase the levels of glucose, lactic acid, citric acid, high-density lipoprotein, phosphatidylcholine, glycerophosphate choline, hydroxybutyrate, alanine, and glutamate. QRHT could also decrease the levels of low-density lipoprotein/very low-density lipoprotein, lipids, N-acetyl glycoprotein, and O-acetyl glycoprotein.CONCLUSION: QRHT can effectively ameliorate metabolic disorders in YEH Patients with abundant phlegmheat syndrome. 1H NMR-based metabolo- mic technology can provide an objective basis for the treatment of YEH patients with abundant phlegm-heat syndrome using QRHT.展开更多
Prostate cancer (PCa) is the second most common male cancer worldwide and the fifth leading cause of death from cancer in men. Early detection and risk stratification is the most effective way to improve the surviva...Prostate cancer (PCa) is the second most common male cancer worldwide and the fifth leading cause of death from cancer in men. Early detection and risk stratification is the most effective way to improve the survival of PCa patients. Current PCa biomarkers lack sufficient sensitivity and specificity to cancer. Metabolite biomarkers are evolving as a new diagnostic tool. This review is aimed to evaluate the potential of metabolite biomarkers for early detection, risk assessment, and monitoring of PCa. Of the 154 identified publications, 27 and 38 were original papers on urine and serum metabolomics, respectively. Nuclear magnetic resonance (NMR) is a promising method for measuring concentrations of metabolites in complex samples with good reproducibility, high sensitivity, and simple sample processing. Especially urine-based NMR metabolomics has the potential to be a cost-efficient method for the early detection of PCa, risk stratification, and monitoring treatment eff^cacy.展开更多
OBJECTIVE: To provide existence of abnormal potential evidence for the Savda, we assessed host metabonomic responses and dynamic changes oc- curring in various diseases using 1H nuclear mag- netic resonance (NMR)-b...OBJECTIVE: To provide existence of abnormal potential evidence for the Savda, we assessed host metabonomic responses and dynamic changes oc- curring in various diseases using 1H nuclear mag- netic resonance (NMR)-based metabonomics. METHODS: Plasma samples taken from patients with complicated diseases with abnormal Savda (n= 140, including 35 cases each of diabetes, asthma, breast cancer, and cervical carcinoma) and from healthy controls (n=35) were analyzed by ~H NMR (600 MHz), and the spectral profiles were analyzed by multivariate analysis using orthogonal projec- tion to latent structure with discriminant analysis. RESULTS: Supervised modeling of the data provid- ed very good discrimination between patients and healthy controls. Compared with ,the healthy controls, the patient groups with different disease con- ditions displayed similar metabolic changes, characterized by lower creatine, creatinine, lactate, and amino acid levels (including isoleucine, leucine, va- line, alanine, and 1-methylhistidine) and higher lip- id levels (very low-density lipoproteins and unsatu- rated lipids). Additionally, cancer patients (breast and cervical) showed decreased myo-inositol, a-glucose, and 13-glucose, and increased pyruvate and carnitine in plasma. CONCLUSION: The data indicate that decreased ox- idative defense, liver function abnormalities, amino acid deficiencies, and energy metabolism disorders are common characteristics of complicated diseas- es, which may be related to the formation of abnor- mal Savda.展开更多
文摘OBJECTIVE; To observe the influence of Qingrehuatan decoction (QRHT) on serum metabolic profile in young essential hypertension (YEH) patients with abundant phlegm-heat syndrome and provide a basis for treatment with the decoction. METHODS: Twelve male YEH patients were randomly selected and serum samples were collected for examination before and after 4 weeks of thetreatment with QRHT. Twelve healthy males were randomly selected and their serum samples were collected as a control. All serum samples were detected using metabolomic technology with 1H nuclear magnetic resonance. Differences in metabo- lites were studied by principal component analysis and partial least squares-discriminate analysis, which produced scores and Ioadings plots.RESULTS: After 4 weeks of treatment, serum substances could be distinguished between the YEH patients with abundant phlegm-heat syndrome and the control patients. The specific serum endogenous metabolites tended to improve after the treatment. QRHT can appropriately increase the levels of glucose, lactic acid, citric acid, high-density lipoprotein, phosphatidylcholine, glycerophosphate choline, hydroxybutyrate, alanine, and glutamate. QRHT could also decrease the levels of low-density lipoprotein/very low-density lipoprotein, lipids, N-acetyl glycoprotein, and O-acetyl glycoprotein.CONCLUSION: QRHT can effectively ameliorate metabolic disorders in YEH Patients with abundant phlegmheat syndrome. 1H NMR-based metabolo- mic technology can provide an objective basis for the treatment of YEH patients with abundant phlegm-heat syndrome using QRHT.
基金Project supported by the Joint Research Project(No.PW2016D-13)of Pudong New Area Health and Family Planning Committee,Shanghai,China
文摘Prostate cancer (PCa) is the second most common male cancer worldwide and the fifth leading cause of death from cancer in men. Early detection and risk stratification is the most effective way to improve the survival of PCa patients. Current PCa biomarkers lack sufficient sensitivity and specificity to cancer. Metabolite biomarkers are evolving as a new diagnostic tool. This review is aimed to evaluate the potential of metabolite biomarkers for early detection, risk assessment, and monitoring of PCa. Of the 154 identified publications, 27 and 38 were original papers on urine and serum metabolomics, respectively. Nuclear magnetic resonance (NMR) is a promising method for measuring concentrations of metabolites in complex samples with good reproducibility, high sensitivity, and simple sample processing. Especially urine-based NMR metabolomics has the potential to be a cost-efficient method for the early detection of PCa, risk stratification, and monitoring treatment eff^cacy.
基金Supported by China National Natural Science Foundation Program (No.81160459)
文摘OBJECTIVE: To provide existence of abnormal potential evidence for the Savda, we assessed host metabonomic responses and dynamic changes oc- curring in various diseases using 1H nuclear mag- netic resonance (NMR)-based metabonomics. METHODS: Plasma samples taken from patients with complicated diseases with abnormal Savda (n= 140, including 35 cases each of diabetes, asthma, breast cancer, and cervical carcinoma) and from healthy controls (n=35) were analyzed by ~H NMR (600 MHz), and the spectral profiles were analyzed by multivariate analysis using orthogonal projec- tion to latent structure with discriminant analysis. RESULTS: Supervised modeling of the data provid- ed very good discrimination between patients and healthy controls. Compared with ,the healthy controls, the patient groups with different disease con- ditions displayed similar metabolic changes, characterized by lower creatine, creatinine, lactate, and amino acid levels (including isoleucine, leucine, va- line, alanine, and 1-methylhistidine) and higher lip- id levels (very low-density lipoproteins and unsatu- rated lipids). Additionally, cancer patients (breast and cervical) showed decreased myo-inositol, a-glucose, and 13-glucose, and increased pyruvate and carnitine in plasma. CONCLUSION: The data indicate that decreased ox- idative defense, liver function abnormalities, amino acid deficiencies, and energy metabolism disorders are common characteristics of complicated diseas- es, which may be related to the formation of abnor- mal Savda.