Spectrum-effect relationship between UPLC fingerprints and antidiabetic and antioxidant activities of Rosa rugosa

Nijat, Dilaram; Lu, Changhui; Lu, Juanjuan; Abdulla, Rahima; Hasan, Aobulikasimu; Aidarhan, Nurbolat; Aisa, Haji Akber

doi:10.1016/j.jchromb.2021.122843

Cited by 27 publications

(19 citation statements)

References 21 publications

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“…The spectrum–effect relationship study revealed that di-O-galloyl-HHDP-glucoside, galloyl-HHDP-glucoside, and avicularin were more relevant to the antidiabetic activity. Di-O-galloyl-HHDP-glucoside, galloyl-HHDP-glucoside, and ellagic acid were the main antioxidant components of R. rugosa ( 45 ). In this study, the GCA method was used to evaluate the spectrum–effect relationships between the 10 common peak areas in the HPLC-CAD fingerprints and anti-inflammatory activities, and purified oligosaccharides were used to confirm the GCA results, and the results indicated that maltotetraose, maltopentaose, maltohexaose, and mannohexaose were relevant to anti-inflammatory effects and could be as the quality markers for quality control of D. officinale .…”

Section: Discussionmentioning

confidence: 99%

Quality Markers of Dendrobium officinale by “Oligosaccharide-Spectrum-Effect” Relationships

et al. 2022

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Dendrobium officinale Kimura et Migo has been used as a traditional Chinese medicine (TCM) and a functional food for thousands of years. Carbohydrate is one of the most important effective substances and indicative components in D. officinale. However, since the qualitative and quantitative analysis of polysaccharides in D. officinale remains a challenge and limitation, herein, an oligosaccharide-quality marker approach was newly developed for quality assessment of D. officinale by spectrum–effect relationships between high performance liquid chromatographic (HPLC) fingerprints and anti-inflammatory effects. The HPLC fingerprints of 48 batches of oligosaccharides from D. officinale (DOOS) were developed and analyzed with similarity analysis (SA) and hierarchical cluster analysis (HCA), and eight common peaks were identified. In vitro screening experiment indicated that DOOS potentially inhibited nitric oxide (NO) production and effectively reduced the release of inflammatory cytokines, such as TNF-α, IL-6, and IL-1β in RAW 264.7 cells, thereby reducing the inflammatory response of cells. Finally, the HPLC fingerprint of different batches of DOOS was combined with in vitro anti-inflammatory activity to assess the spectrum–effect relationships of DOOS by gray correlation analysis (GCA), in addition, the purified oligosaccharide components were identified and validated for NO inhibitory activity. Our results showed four DOOS (maltotetraose, maltopentaose, maltohexaose, and mannohexaose) were relevant to anti-inflammatory effects and could be as quality markers for the quality control of D. officinale. It suggests that the “oligosaccharide-spectrum-effect” relationships approach is a simple and reliable method for the quality control of herb medicines or nutritious foods.

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Section: Discussionmentioning

confidence: 99%

Quality Markers of Dendrobium officinale by “Oligosaccharide-Spectrum-Effect” Relationships

et al. 2022

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“…The mixture was allowed to stand in the dark for 15 min, and its absorbance was measured at 517 nm on a FlexStation 3 desktop multifunctional microporous plate detection system (Molecular Devices, USA). The DPPH scavenging percentage was determined according to Equation (2) [7,15].…”

Section: 2-diphenyl-1-picrylhydrazyl Scavenging Assaymentioning

confidence: 99%

“…The spectrum-effect relationship is based on fingerprint data and activity studies, which is considered a classical and effective method to screen active components from complex mixtures, especially TCMs [15]. It can not only reveal the comprehensive information of the types and quantities of chemical compounds but also clarify the correlation between the fingerprint and the pharmacodynamic effects of each component through a variety of statistical analysis methods, including principal component analysis (PCA), gray relational analysis (GRA), partial least squares regression (PLSR), bivariate correlations analysis (BCA), and multiple linear regression (MLR) [15,16]. Recently, spectrum-effect relationship analysis has been successfully used to screen bioactive markers from TCMs, such as antidiabetic, antioxidant, α-glucosidase, and xanthine oxidase inhibitors [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…It can not only reveal the comprehensive information of the types and quantities of chemical compounds but also clarify the correlation between the fingerprint and the pharmacodynamic effects of each component through a variety of statistical analysis methods, including principal component analysis (PCA), gray relational analysis (GRA), partial least squares regression (PLSR), bivariate correlations analysis (BCA), and multiple linear regression (MLR) [15,16]. Recently, spectrum-effect relationship analysis has been successfully used to screen bioactive markers from TCMs, such as antidiabetic, antioxidant, α-glucosidase, and xanthine oxidase inhibitors [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…The 30% ethanol eluate fraction was further characterized by LC-MS analysis. The chromatographic peaks (Peaks 1,2,3,5,12,14,15) making great contributions to the efficacy were screened through a spectrum-effect relationship model, and sixteen components were further identified. The results suggested that the proposed strategy is simple and effective for acquiring active components from a complex matrix.…”

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confidence: 99%

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Screening of acetylcholinesterase inhibitory and antioxidant active compounds from Terminalia chebula fruits by spectrum‐effect relationship and liquid chromatography‒mass spectrometry analysis

Zhao

Guo

et al. 2022

J of Separation Science

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Screening and identification of active components from traditional Chinese medicines is rather challenging due to the diversity and complexity of chemical components. Herein, a comprehensive strategy based on a spectrum-effect relationship model and LC-MS analysis was developed to screen active components from Terminalia chebula fruits. The water extract of T. chebula fruits was subjected to macroporous resin column and then eluted successively with water and 30%, 50%, 70%, and 95% ethanol. The 30% ethanol eluate fractions of eighteen batches from T. chebula fruits were used for the spectrum-effect relationship study. The IC 50 values for acetylcholinesterase inhibitory and 2,2diphenyl-1-picrylhydrazyl scavenging activities were measured, LC fingerprints were established, and 15 common peaks were specified. The spectrum-effect relationship between common peaks and IC 50 values was investigated by principal component analysis, gray relational analysis, partial least square and multiple linear regression. The 30% ethanol eluate fraction was further characterized by LC-MS analysis. The chromatographic peaks (Peaks 1,2,3,5,12,14,15) making great contributions to the efficacy were screened through a spectrum-effect relationship model, and sixteen components were further identified. The results suggested that the proposed strategy is simple and effective for acquiring active components from a complex matrix.

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Qualitative and quantitative method for quality control of Itea ilicifolia based on antioxidant Q‐markers

Feng

Zhang

Yang

et al. 2023

Biomedical Chromatography

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Itea ilicifolia Oliv is a folk medicine with antioxidant potential. In this study, the fingerprints of 14 batches of I. ilicifolia were established by HPLC with 17 common peaks.The similarities evaluated by Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia (version 2012) were >0.89. Ten compounds were identified with definite structures by comparing the retention time and characteristic UV spectral pattern with those of reference substances. The antioxidant capacities of 14 batches of I. ilicifolia were evaluated based on O 2 ÁÀ , DPPH and ABTS Á+ radical scavenging assays in combination with ferric reducing antioxidant power assay. Via multivariate statistical analyses of gray relation analysis, bivariate correlation analysis and partial least squares regression analysis, a study on the spectrum-effect relationship was then performed to screen eight peaks as the antioxidant Q-markers of I. ilicifolia. The contents of representative antioxidant Q-markers (isoorientin, orientin, vitexin, isovitexin and iteafuranal A) in samples were accurately determined to be 0.

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Spectrum-effect relationship between UPLC fingerprints and antidiabetic and antioxidant activities of Rosa rugosa

Cited by 27 publications

References 21 publications

Quality Markers of Dendrobium officinale by “Oligosaccharide-Spectrum-Effect” Relationships

Quality Markers of Dendrobium officinale by “Oligosaccharide-Spectrum-Effect” Relationships

Screening of acetylcholinesterase inhibitory and antioxidant active compounds from Terminalia chebula fruits by spectrum‐effect relationship and liquid chromatography‒mass spectrometry analysis

Qualitative and quantitative method for quality control of Itea ilicifolia based on antioxidant Q‐markers

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