Correlation of chemical profiles obtained from 1H‐NMR and LC–MS metabolomics with α‐glucosidase inhibition activity for varietal selections of Ficus deltoidea. Issue 8 (3rd October 2022)

• Record Type: Journal Article
• Authors: Kasim, Noraini; Afzan, Adlin; Mediani, Ahmed; Low, Kah Hin; Ali, Abdul Manaf; Mat, Nashriyah; Wolfender, Jean‐Luc; Ismail, Nor Hadiani
• Is Part Of: Phytochemical analysis. Volume 33:Issue 8(2022)
• Page Start: 1235
• Page End: 1245
• Publication Date: 2022-10-03
• Subjects: bioactive metabolites -- bioactive varieties -- Ficus deltoidea varieties -- multivariate data analysis -- potential antidiabetic -- quality control; Plants -- Analysis -- Periodicals; Plants -- chemistry -- Periodicals; 572.2
• DOI: 10.1002/pca.3175
• Languages: English
• ISSNs: 0958-0344

Abstract

Abstract: Introduction: Ficus deltoidea Jack (Moraceae) is a plant used in Malaysia to treat various ailments, including diabetes. The presence of several varieties raises essential questions regarding which is the potential bioactive variety and what are the bioactive metabolites. Objectives: Here, we explored the phytochemical diversity of the seven varieties from Peninsular Malaysia using Nuclear Magnetic Resonance (NMR) and Liquid Chromatography–Mass Spectrometry (LC–MS) analyses and correlated it with the α ‐glucosidase inhibitory activity. Methodology: The Nuclear Overhauser Effect Spectroscopy (NOESY) One‐Dimensional (1D)‐NMR and LC–MS data were processed, annotated, and correlated with in vitro α ‐glucosidase inhibitory using multivariate data analysis. Results: The α ‐glucosidase results demonstrated that different varieties have varying inhibitory effects, with the highest inhibition rate being F. deltoidea var. trengganuensis and var. kunstleri . Furthermore, diverse habitats and plant ages could also influence the inhibitory rate. The heat map from NMR and LC–MS profiles showed unique patterns according to varying levels of α ‐glucosidase inhibition rate. The Partial Least Squares (PLS) model constructed from both NMR and LC–MS further confirmed the correlation between the α ‐glucosidase inhibition rate of F. deltoidea varieties and its metabolite profiles. The Variable Influence on Projection (VIP) and correlation coefficient (p(corr)) values values were used to determine the highly relevant metabolites for explaining the anticipated inhibitory action. Conclusion: NMR and LC–MS annotations allow the identification of flavan‐3‐ols and proanthocyanidins as the key bioactive factors. Our current results demonstrated the value of multivariate data analysis to predict the quality of herbal materials from both biological and chemical aspects. Abstract : Ficus deltoidea is used in Malaysia to treat various ailments, including diabetes. We explored the phytochemical diversity of seven Peninsular Malaysian varieties and correlated it with the α‐glucosidase inhibitory potential. Partial least squares (PLS) correlation models constructed from NMR and LC‐MS data with α‐glucosidase inhibitory rate predicted var. trengganuensis and var. kunstleri as the bioactive varieties, with proanthocyanidins and flavan‐3‐ols identified as the key bioactive factors.