Exploring the pharmacological effects and potential targets of paeoniflorin on the endometriosis of cold coagulation and blood stasis model rats by ultra-performance liquid chromatography tandem mass spectrometry with a pattern recognition approach

RSC advances · 2019 · vol. 9(36) , pp. 20796–20805 · doi:10.1039/c9ra03525g · PMID:35515565 · W2953903489
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Paeoniflorin significantly regulated metabolic pathways in endometriosis model rats, revealing its mechanism of action via metabolomics.

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This study used UPLC-MS serum metabolomics with pattern recognition to identify biomarkers and perturbed metabolic pathways in endometriosis of cold coagulation and blood stasis (ECB) model rats and to evaluate the mechanism of action of paeoniflorin (PF). Compared with controls, serum metabolism profiles were significantly separated and 13 biomarkers were identified in total (8 in positive mode, 5 in negative mode) involving pathways such as phenylalanine and arachidonic acid metabolism; after PF treatment, 10 biomarkers were regulated, with 4 reaching statistical significance (L-phenylalanine, L-tryptophan, and two lysoPC species). A key finding was that PF could modulate multiple metabolic pathways in this disease model. The paper does not explicitly state limitations in the abstract. This paper is centrally about endometriosis — it examines paeoniflorin’s pharmacological effects and potential biomarkers/targets in an ECB endometriosis rat model using serum metabolomics.

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Abstract

)). We initially confirmed that PF could significantly regulate the metabolic expression of multiple metabolic pathways in the ECB model rats. For the first time, this study explored the mechanism of action of PF treatment based on the metabolic pathways of the organism and demonstrated the potential of the metabolomics techniques for the study of drug action mechanisms.
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Exploring the pharmacological effects and potential targets of paeoniflorin on the endometriosis of cold coagulation and blood stasis model rats by ultra-performance liquid chromatography tandem mass spectrometry with a pattern recognition approach† Abstract This study was employed to explore the potential biomarkers of endometriosis of cold coagulation and blood stasis (ECB) model rats and the effective mechanism of action of paeoniflorin (PF). The serum metabolomics approach was carried out using the UPLC-MS technique with a pattern recognition approach to prove the possible biomarkers of the ECB model rats and the perturbed pathways. Subsequently, the mechanism of PF treatment of this disease model was elucidated. The results revealed that the serum metabolism profiles in two groups were also separated significantly. Moreover, 8 biomarkers were found in the positive mode, and 5 biomarkers were found in the negative mode. Totally, 13 biomarkers participated in the metabolism of phenylalanine, arachidonic acid, etc. After treatment with PF, 10 biomarkers were regulated. Among the 10 biomarkers, 4 were statistically significant: L-phenylalanine, L-tryptophan, LysoPC (18:4(6Z,9Z,12Z,15Z)), and LysoPC (16:1(9Z)). We initially confirmed that PF could significantly regulate the metabolic expression of multiple metabolic pathways in the ECB model rats. For the first time, this study explored the mechanism of action of PF treatment based on the metabolic pathways of the organism and demonstrated the potential of the metabolomics techniques for the study of drug action mechanisms.

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endometriosis

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