Inhibition of α-glucosidase activity, metals content, and phytochemical profiling of Andrographis paniculata from different geographical origins based on FTIR and UHPLC-Q-Orbitrap HRMS metabolomics

Abstract

Abstract. Rafi M, Septaningsih DA, Karomah AH, Lukman, Prajogo B, Amran MB, Rohman A. 2021. Inhibition of α-glucosidase activity, metals content, and phytochemical profiling of Andrographis paniculata from different geographical origins based on FTIR and UHPLC-Q-Orbitrap HRMS metabolomics. Biodiversitas 22: 1535-1542. Ensuring consistency of quality, safety, and efficacy of herbal medicines from raw materials to finished products is important because of the variability in medicinal plants' active components. One of the plants that have been used as an antidiabetic herbal medicine is A. paniculata. This study aims to determine α-glucosidase inhibitory activity, the content of several metals, FTIR spectrum profile, and putative identification of A. paniculata metabolites using UHPLC-Q-Orbitrap HRMS from different geographical origin. We found that ethanol extract of A. paniculata gave higher inhibition of α-glucosidase activity compared to water extract. Eight metals were determined using FAAS and FAES, and calcium showed the highest content in all A. paniculata samples. FTIR spectra of A. paniculata showed a similar profile and only differed in the absorbance. We detected the presence of OH, C=O, C=C aromatic, and C-O functional groups in A. paniculata extract. About 32 metabolites were putatively identified in A. paniculata, mainly from phenolic and diterpene lactones class compounds based on UHPLC-Q-Orbitrap HRMS. Using a combination of FTIR spectra and peak area from 32 identified peaks, we can clustered A. paniculata based on its geographical origin. Based on the result obtained, the geographical origin of A. paniculata affected the metals and metabolites composition and level, resulting in different levels of α-glucosidase inhibitory activity.

Alpha-glucosidase and DPP-IV Inhibitory Activities of Ethanol Extract from Caesalpinia sappan, Andrographis paniculata, and Syzygium cumini

“…As the biomarker of this plant, andrographolide was tested, and the IC 50 was 11.0 ± 0.28 mg/ mL. 29 On the other study 30 showed IC 50 of Andrographis paniculata and andrographolide better than Subramanian et al According to those studies, it proves that andrographolide has antidiabetic activity as an alpha-glucosidase inhibitor. The IC 50 of Syzygium cumini extract and Caesalpinia sappan extract did not make much difference, while the IC 50 of Andrographis paniculata extract obtained better results than previous studies.…”

Effect of different drying methods on phenolic content, antioxidant, antidiabetic, anti-obesity, and inhibition kinetic properties of selective green leafy vegetables

“…The peak at 2927 cm -1 was due to the asymmetric stretching of the C-H and C=H bonds (Ahmed et al 2017;Nair and Mukne 2017). The peak at 1662 cm -1 was associated with the tertiary amides C=O stretching (Roy et al 2015;Rafi et al 2021). The peaks at 1598 and 1513 cm -1 were assigned to stretching C=N and C=C bonds in the α-helix and β-sheet structures of proteins (amide I and amide II, respectively) (Ahmed et al 2017).…”

Untargeted metabolomics using UHPLC‐Q‐Orbitrap HRMS for identifying cytotoxic compounds on MCF‐7 breast cancer cells from Annona muricata Linn leaf extracts as potential anticancer agents

“…18 Through an untargeted metabolomics approach, known and previously unknown compounds with novel structures and bioactivities may be identified under specific conditions. [19][20][21] Metabolomics analysis can further reveal relationships among active metabolites and bioactivities. [22][23][24][25] However, there have been no comprehensive metabolomics analyses of compounds active on ER-positive breast cancer in soursop leaf extract.…”

“…Metabolomics allows for identifying and quantifying metabolites produced by a biosystem at a particular time 18 . Through an untargeted metabolomics approach, known and previously unknown compounds with novel structures and bioactivities may be identified under specific conditions 19–21 . Metabolomics analysis can further reveal relationships among active metabolites and bioactivities 22–25 .…”