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UPLC-quadrupole time-of-flight-tandem mass spectrometry combined with chemometrics and network pharmacology to differentiate Coreopsis tinctoria Nutt.
Zhou, Xinyu; Cheng, Wei; Chen, Xinmei; Wang, Kaixuan.
Afiliación
  • Zhou X; College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Cheng W; College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Chen X; College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Wang K; College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Biomed Chromatogr ; 38(3): e5797, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38084786
Coreopsis tinctoria Nutt. (C. tinctoria) is a traditional medicinal plant, primarily found in plateau areas with altitudes exceeding 3000 m. The efficacy of C. tinctoria appears to be intricately tied to its quality. However, there is a scarcity of studies focused on evaluating the quality of C. tinctoria from diverse geographical locations. In this study, we used ultra-performance liquid chromatography-quadrupole time-of-flight-tandem mass spectrometry to analyze and identify the prevalent chemical components in 12 batches of C. tinctoria sourced from Xinjiang, Qinghai, Tibet, and Yunnan provinces in China. By using cluster analysis and discriminant analysis of partial least squares, we assessed the similarity and identified varying components in the 12 batches of C. tinctoria. Subsequently, their quality was further evaluated. Utilizing network pharmacology, we identified potential active components for the treatment of diabetes mellitus. The findings revealed the presence of 16 flavonoids, 3 phenylpropanes, 2 sugars, 2 amino acids, and 7 hydrocarbons in the analyzed samples. Through variable importance screening, 17 constituents were identified as quality difference markers. Marein and flavanomarein emerged as pivotal markers, crucial for distinguishing variations in C. tinctoria. In addition, network pharmacology predicted 187 targets for 9 common active components, including marein and flavanomarein. Simultaneously, 1747 targets related to diabetes mellitus were identified. The drug-component-disease target network comprised 91 nodes and 179 edges, encompassing 1 drug node, 9 component nodes, and 81 target nodes. In summary, marein and flavanomarein stand out as key biomarkers for assessing the quality of C. tinctoria, offering a scientific foundation for the quality evaluation of C. tinctoria Nutt.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Coreopsis / Chalconas / Diabetes Mellitus País/Región como asunto: Asia Idioma: En Revista: Biomed Chromatogr Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Coreopsis / Chalconas / Diabetes Mellitus País/Región como asunto: Asia Idioma: En Revista: Biomed Chromatogr Año: 2024 Tipo del documento: Article País de afiliación: China