Discovery of quality control markers from traditional Chinese medicines by fingerprint-efficacy modeling: Current status and future perspectives

Cai, Zhengting; Zheng, Xiaoya; Ni, Hui; Li, Ping; Li, Huijun

doi:10.1016/j.jpba.2018.07.006

Cited by 74 publications

(39 citation statements)

References 74 publications

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“…A positive coefficient indicates that it is positively correlated with the enzyme activity, while a negative number indicates that it is negatively correlated with the enzyme activity. The IC 50 for XO activity increased with increasing peak areas of 3,4,7,10,11,16,17,18,20,21,23,24,25,26,27,28, and 30, indicating that this component group was positively correlated with XO inhibitory activity and that peaks 1,2,5,6,8,9,12,13,14,15,19,22,31,32, and 33 were negatively correlated with their inhibitory activities ( Figure 6). Variable importance in projection (VIP) scores is important indicators that reflect the ability of independent variables to explain dependent variables.…”

Section: Plsr Analysis Resultsmentioning

confidence: 98%

“…The gray relational coefficients and grades for each common peak area of the 60 samples were calculated. The gray relational grade is shown in 4,25,26,27,28,29, and 30 was greater than 0.8, indicating that they had a relatively significant effect on the XO activity. Components 1,2,3,5,6,7,8,9,10,11,12,14,15,16,17,18,19,20,21,22,23,24,31,32, and 33 all had correlation degrees greater than 0.7, indicating a significant effect on the XO activity.…”

Section: F I G U R E 3 Cluster Analysis Of the Ligustrum Lucidum Extrmentioning

confidence: 96%

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Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

Gao

Chen

Zhou

2019

J of Separation Science

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To evaluate the xanthine oxidase inhibitory activity of the chemical constituents of Ligustrum lucidum in vitro, the spectrum‐effect relationship was investigated. The high‐performance liquid chromatography fingerprint was established by ultraviolet spectrophotometry, and the xanthine oxidase inhibitory activity was tested in vitro by a high‐throughput screening method. Cluster analysis, principal component analysis, gray correlation analysis, and partial least squares regression were used to explore the spectrum‐effect relationships. Sixty batches of Ligustrum lucidum were collected from 16 provinces for testing. The results revealed differences among the batches of medicinal materials, and the similarity score was between 0.635 and 0.968. Thirty‐three characteristic peaks (1–33) were calibrated by fingerprint evaluation software for traditional Chinese medicine. The spectrum‐effect relationship study further revealed that the contents of peaks 1, 2, 4, 5, 6, 7, 14, 17, 25, 28, 31, and 33, which are potentially critical ingredients for quality control of Ligustrum lucidum fruit, were highly correlated with the inhibition of xanthine oxidase activity.

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Section: Plsr Analysis Resultsmentioning

confidence: 98%

Section: F I G U R E 3 Cluster Analysis Of the Ligustrum Lucidum Extrmentioning

confidence: 96%

Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

Gao

Chen

Zhou

2019

J of Separation Science

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“…The detection of individual compounds and detection limits depend on the detection device, which mostly includes ultraviolet-diode array detector (UV-DAD), electron light scattering detector (ELSD), or charged aerosol detector (CAD). HPLC and ultra-HPLC (UHPLC), an advanced technique with improved separation capacity, offer the possibility for hyphenation with mass spectrophotometry (MS) and nuclear magnetic resonance (NMR) that yields valuable additional structural information (Zhang et al 2018). Since many spectra are recorded per minute, a huge amount of data is generated within a short time.…”

Section: Chromatographic Methods: Hptlc and Hplcmentioning

confidence: 99%

Botanical ingredient identification and quality assessment: strengths and limitations of analytical techniques

Upton¹,

David

Gafner

et al. 2019

Phytochem Rev

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Interest in botanical medicines is increasing worldwide with current global market values estimated to be greater than US $72 billion. To ensure ingredients used in botanical preparations are appropriately identified and will deliver the intended benefit while minimizing potential for risk, good manufacturing practices (GMPs) are required. GMPs require that scientifically valid analytical techniques be used. This review discusses a variety of techniques of quality assessment taking into account the different challenges between academicians and manufacturers with the basic premise that all techniques are scientifically valid if used appropriately, and conversely, are limited if not used in a scientifically valid manner. The strengths and limitations, applications and inapplicability, of some of these techniques will be discussed, as will differences between traditional and more modern analytical techniques. A strong emphasis is placed on classical botanical and traditional macromorphological assessment techniques that represent the basis of identification and quality assessment upstream of other techniques such as analytical chemistry and genetics. It will be shown that it is the suite of botanical and chemical techniques that provides the greatest confidence for ensuring the identity and quality of botanical medicines.

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“…Chemical fingerprints and bioactivities assay linked with multiple markers is currently recognised to be effective for TCM analysis [88]. The use of known and previously characterised markers for the analysis of constituents is the most popular method for identification and quality control in TCM.…”

Section: Fingerprint-efficacy Analysis In Tcmmentioning

confidence: 99%

“…Multiple methods relate chemical fingerprints, such as characteristic peaks, to bioactivities. The 'fingerprint-efficacy relationship' investigation procedure (Figure 14) involves finding the appropriate analytical methods for fingerprints, identifying assays for the various bioactivities, using statistical methods to find the fingerprint-efficacy relationship, select candidate components, and validation of the bioactivities of the identified candidate Traditional Chinese Medicine: From Aqueous Extracts to Therapeutic Formulae DOI: http://dx.doi.org /10.5772/intechopen.85733 components [88]. For instance, Valeriana jatamansi Jones (Zhi zhu xiangI 蜘蛛香) has a long history of use in TCM to treat mood disorders like anxiety.…”

Section: Fingerprint-efficacy Analysis In Tcmmentioning

confidence: 99%

Traditional Chinese Medicine: From Aqueous Extracts to Therapeutic Formulae

Wang¹,

Sasse²,

Sheridan³

2019

Plant Extracts

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Traditional Chinese medicine (TCM) is one of the most established systems of medicine in the world. The therapeutic formulae used in TCM are frequently derived from aqueous decoctions of single plants or complex multicomponent formulae. There are aspects of plant cultivation and preparation of decoction pieces that are unique to TCM. These include Daodi cultivation, which is associated with high quality medicinal plant material that is grown in a defined geographical area, and Paozhi processing where the decoction pieces can be treated with excipients and are processed, which may fundamentally change the nature of the chemical metabolites. Therefore, a single plant part, processed in a variety of different ways, can each create a unique medicine. The quality of TCM materials, their safety and therapeutic efficacy are of critical importance. The application of metabolomic and chemometric techniques to these complex and multicomponent medicines is of interest to understand the interrelationships between composition, synergy and therapeutic activity. In this chapter, we present a short history of TCM, detail the role of Daodi and Paozhi in the generation of therapeutic formulae and look at the international practices and methodologies currently in use to ensure their sustainable production, quality, safety and efficacy.

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Discovery of quality control markers from traditional Chinese medicines by fingerprint-efficacy modeling: Current status and future perspectives

Cited by 74 publications

References 74 publications

Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

Botanical ingredient identification and quality assessment: strengths and limitations of analytical techniques

Traditional Chinese Medicine: From Aqueous Extracts to Therapeutic Formulae

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