Fuzzy identification of bioactive components for different efficacies of rhubarb by the back propagation neural network association analysis of UPLC-Q-TOF/MSE and integrated effects

Background: Rhei Radix et Rhizoma (rhubarb), as one of the typical representatives of multi-effect traditional Chinese medicines (TCMs), has been utilized in the treatment of various diseases due to its multicomponent nature. However, there are few systematic investigations for the corresponding eff...

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Main Authors: Chen, J.-Q (Author), Chen, Y.-Y (Author), Du, X. (Author), Duan, J.-A (Author), Pu, Z.-J (Author), Shang, E.-X (Author), Shi, X.-Q (Author), Tang, Y.-P (Author), Tao, H.-J (Author), Yue, S.-J (Author), Zhou, G.-S (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
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Online Access:View Fulltext in Publisher
LEADER 03369nam a2200325Ia 4500
001 10.1186-s13020-022-00612-9
008 220510s2022 CNT 000 0 und d
020 |a 17498546 (ISSN) 
245 1 0 |a Fuzzy identification of bioactive components for different efficacies of rhubarb by the back propagation neural network association analysis of UPLC-Q-TOF/MSE and integrated effects 
260 0 |b BioMed Central Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s13020-022-00612-9 
520 3 |a Background: Rhei Radix et Rhizoma (rhubarb), as one of the typical representatives of multi-effect traditional Chinese medicines (TCMs), has been utilized in the treatment of various diseases due to its multicomponent nature. However, there are few systematic investigations for the corresponding effect of individual components in rhubarb. Hence, we aimed to develop a novel strategy to fuzzily identify bioactive components for different efficacies of rhubarb by the back propagation (BP) neural network association analysis of ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry for every data (UPLC-Q-TOF/MSE) and integrated effects. Methods: Through applying the fuzzy chemical identification, most components of rhubarb were classified into different chemical groups. Meanwhile the integration effect values of different efficacies can be determined by animal experiment evaluation and multi-attribute comprehensive indexes. Then the BP neural network was employed for association analysis of components and different efficacies by correlating the component contents determined from UPLC-Q-TOF/MSE profiling and the integration effect values. Finally, the effect contribution of one type of components may be totaled to demonstrate the universal and individual characters for different efficacies of rhubarb. Results: It suggested that combined anthraquinones, flavanols and their polymers may be the universal character to the multi-functional properties of rhubarb. Other components contributed to the individuality of rhubarb efficacies, including stilbene glycosides, anthranones and their dimers, free anthraquinones, chromones, gallic acid and gallotannins, butyrylbenzenes and their glycosides. Conclusions: Our findings demonstrated that the bioactive components for different efficacies of rhubarb were not exactly the same and can be systematically differentiated by the network-oriented strategy. These efforts will advance our knowledge and understanding of the bioactive components in rhubarb and provide scientific evidence to support the expansion of its use in clinical applications and the further development of some products based on this medicinal herb. © 2022, The Author(s). 
650 0 4 |a Back propagation neural network 
650 0 4 |a Bioactive component 
650 0 4 |a Efficacy 
650 0 4 |a Fuzzy identification 
650 0 4 |a Integrated effect 
650 0 4 |a Rhubarb 
700 1 |a Chen, J.-Q.  |e author 
700 1 |a Chen, Y.-Y.  |e author 
700 1 |a Du, X.  |e author 
700 1 |a Duan, J.-A.  |e author 
700 1 |a Pu, Z.-J.  |e author 
700 1 |a Shang, E.-X.  |e author 
700 1 |a Shi, X.-Q.  |e author 
700 1 |a Tang, Y.-P.  |e author 
700 1 |a Tao, H.-J.  |e author 
700 1 |a Yue, S.-J.  |e author 
700 1 |a Zhou, G.-S.  |e author 
773 |t Chinese Medicine (United Kingdom)