ABSTRACT
@#At present , methamphetamine has become a major hidden danger in global public health safety. In order to judge methamphetamine addicts and methamphetamine abstainers more scientifically and reliably, this study analyzed the endogenous metabolites in plasma, serum and urine of methamphetamine addicts, methamphetamine abstainers and healthy volunteers by highly sensitive high-throughput liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) analytical instrument. The obtained metabolomic data were processed by univariate analysis (t-test) and multivariate analysis (PLS-DA and OPLS-DA) and eligible potential biomarkers were then screened.The identified biomarkers set enrichment analysis to find the connection between metabolites and metabolic pathways.Multivariate statistical results showed that methamphetamine acute group, recovery group and healthy group were clearly separated.3, 18 and 6 regulated metabolites were identified in serum, plasma and urine, respectively, suggesting that lipid metabolism was abnormal in methamphetamine acute group, and that fatty acid metabolism, sulfate/sulfite metabolism and sex hormone metabolism were abnormal in methamphetamine recovery group.The selected potential biomarkers in this study provide the possibility for scientific judgment of the clinical stage of methamphetamine detoxification.
ABSTRACT
Bioactive metabolite production by marine Saccharothrix flava VSM-3was modeled by response surface methodology(RSM) statistical optimization, and kinetic parameter estimation was executed using unstructured models to depict theimportance of growth-associated metabolite production. RSM-based optimization of the variables and their interactionswas analyzed where the modeled data and experimental data are in concurrence and better responses were yieldedin terms of inhibition zones for active metabolite with good regression coefficients. The regression model developedthe significance of five variables and their influence on the bioactive metabolite production and its effect against theresponses. Logistic, Luedeking–Piret equations were used for batch fermentation to produce bioactive metabolites byS. flava VSM-3, where the anticipated parameter data followed experimental data. Chemotype (using ethyl acetateextract) analysis of actinobacterial isolate S. flava was elucidated for the first time by liquid chromatography quadrupoletime-of-flight mass spectrometry (LC-QTOF-MS) analysis. The main compounds identified in the positive ion modewere 7-Deazaadenosine, 5-Hydroxy-9-Methylstreptimidone, Amiclenomycin, Dihydroabikoviromycin, EpopromycinA, OAP Silane 55 and MKN-003B. In the present study, maritime silt specimen of Bay of Bengal comprising S. flavaVSM-3 recorded prominent broad-spectrum activity against various plant pathogens and LC-QTOF-MS data alsosupported VSM-3 was the most active strain. This study also reveals that under-explored Bay of Bengal of northcoastal Andhra Pradesh should be continuously explored for extracting bioactive compounds from diverse strains.
ABSTRACT
In order to study the influence of ecological environment regarding the synthesis and accumulation of metabolites in Eucommiae Cortex, LC-QTOF MS/MS method combined with multivariate statistical analysis was used to analyze the differences of chemical constituents in Eucommiae Cortex from different habitats. Through the analysis of the multistage tandem mass spectrometry, the characteristic peaks were extracted with mass spectrometry data peak matching, peak alignment, and noise filtering. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used for data processing. The chemical constituents were identified or tentative presumed according to MS accurate mass and MS/MS spectrometry fragmentation information, combined with the software of database search, comparison with reference standards and literature. The results show the differences among samples of Eucommiae Cortex from different habitats are distinguishable. A total of 23 chemical constituents in Eucommiae Cortex were identified or tentative presumed. Among of them, 14 kinds of common differential chemical constituents (aucubin, geniposidic acid, neochlorogenic acid, syringin, olivil-4',4'-di-O-β-D-glucopyranoside, chlorogenic acid, cryptochlorogenic acid, 1-hydroxypinoresinol- 4',4'-di-O-β-D-glucopyranoside, caffeic acid, pinoresinol-di-O-β-D-glucopyranoside, syringaresionl-di-O-β-D-glucopyranoside, pinoresinol-4'-O-β-D-glucopyranoside, eucommiol, isochlorogenic acid C and asiatic acid) presented different changing laws. This study provides basic information for revealing the influence law of ecological environment on the biosynthesis of metabolites in Eucommiae Cortex.