ABSTRACT
Objective: To qualitative analze the chemical components in rat lung tissues after oral administration Qinbai Qingfei Concentrated Pellets (QQCP). Methods: The rat lung tissues were collected and analyzed by UPLC-Q-TOF-MS after ig administration of QQCP. The chemical components in control and dose groups were identified and speculated by Peakview and Metabolite Pilot data processing software using retention time, exact relative molecular mass, and cleavage fragments of MS/MS as indexes. Results: A total of 25 compounds were identified, including 17 prototypes and eight metabolites. Conclusion: The chemical constituents in the rat lung tissues were identified after oral administration of QQCP based on UPLC-Q-TOF-MS, which will contribute to elucidate the effects of potential pharmacodynamic material basis of QQCP on mycoplasma pneumoniae.
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Objective: To study the serum pharmacochemistry of leaves of Acanthopanax senticosus. Methods: Rats were ig administered A. senticosus extracts and then the serum was colleted. Rapid identification of transitional constituents absorbed into blood was carried out by UPLC-Q-TOF-MS/MS. The transitional constituents were identified and speculated by Peakview and MetabolitePilot data processing software using retention time, exact relative molecular mass, and cleavage fragments of MS/MS as indexes. Results: After administration of the leaves of A. Senticosus, 19 transitional constituents absorbed into blood were detected in serum, nine of them were prototype constituents and the other 10 were metabolites. Conclusion: Transitional constituents of the leaves of A. senticosus absorbed into blood are preliminarily identified, which could clarify its pharmacodynamic material basis.
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Objective: To study the mechanism of Qinbai Qingfei Concentrated Pellets (QQCP) in the treatment of mycoplasma pneumonia pneumonia. Methods: UPLC-Q-TOF-MS was applied to detect the change of endogenous substances in the lung tissue of mycoplasma pneumonia mice model after taking decoction of QQCP orally. Progenisis QI was adopted to identify and match the peak, and principal compoment analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to reduce data dimension. Through the analysis of tandem mass spectrum data of compound that had larger contribution to the separation among different groups (VIP > 1, P < 0.05) and the HMDB database retrieval to identify potential biomarkers. Results: Twenty potential biomarkers were identified from lung tissue as retinal, all-trans-retinoic acid, pyroglutamic acid, leukotriene C4, vitamin A, arachidonic acid, and prostaglandin I2. Compared with model group, QQCP group had callback function of 20 potential biomarkers. Conclusion: QQCP play a role of treatment for mycoplasma pneumonia by affecting retinol metabolism, linoleic acid, and arachidonic acid metabolism. These results indicated that QQCP had the characteristics of multi-pathway, multi-target and overall regulation in the treatment of mycoplasmal pneumoniae pneumonia.
ABSTRACT
Ultra high performance liquid chromatography coupled with tandem quadrupole time of flight mass spectrometry(UPLC-Q-TOF-MS) was applied to metabonomics study in BALB/c mice infected with mycoplasma pneumoniae(MP) to analyze the changes in serum endogenous metabolites, identify potential biomarkers associated with mycoplasma pneumoniae pneumonia(MPP), analyze the metabolic pathway and explore the pathogenic mechanism of MPP. The BALB/c mice were inoculated with MP by repeated intranasal infectious routes to establish MPP models, and the results of the lung tissue biopsy, IgM and mycoplasma nucleic acid content determination showed that the models of MP in BALB/c mice were successfully established. UPLC-Q-TOF-MS was used to analyze the serum metabolic profiling of BALB/c mice infected with MP, and then principal component analysis(PCA) was combined with orthogonal partial least squares discriminant analysis(OPLS-DA) for data processing. The results showed that there were significant differences in serum metabolic profile between the MP infected mice and the normal mice. Forty-seven potential biomarkers such as ornithine, cortisol, vitamin A and tryptophan were screened out by database searching and MS information matching. These potential biomarkers related to 17 metabolic pathways including retinol metabolism, arginine and proline metabolism, steroid hormone synthesis and so on. The metabonomic research method for serum of mice infected with mycoplasma pneumoniae based on UPLC-Q-TOF-MS was established in this study. The metabolic changes of endogenous small molecules in mice infected with MP were reflected in the overall level, laying the foundation for the selection and evaluation of MPP drugs.
ABSTRACT
To analyze the main components of Qinbai Qingfei concentrated pellets in rat serum with UPLC-Q-TOF-MS technology and serum pharmacochemistry theory. After gavage administration with Qinbai Qingfei concentrated pellets, blood was collected from hepatic portal vein. ACQUITY UPLC BEH C₁₈(2.1 mm×100 mm, 1.7 μm) was used, with 0.1% formic acid agueous solution(A)-0.1%formic acid and acetonitrile(B) as the mobile phase for gradient elution. The flow rate was 0.3 mL•min⁻¹, the column temperature was maintained at 35 ℃. Through the comparative analysis fingerprints of Qinbai Qingfei concentrated pellets, drug containing-serum and blank serum, and with the help Peakview and Metabolitepilot software, components in serum were defined. A total of 28 compounds were identified, including 18 prototypes and 10 metabolites. As a result, UPLC-Q-TOF-MS technology and serum pharmacochemistry theory were applied to comprehensively expound Qinbai Qingfei concentrated pellets'constituents migrating to rat serum, and provide scientific basis for further studies for in vivo metabolic process and effective material base.