Literature DB >> 33374892

Metabolite Profiling of Alangium salviifolium Bark Using Advanced LC/MS and GC/Q-TOFTechnology.

Chandranayaka Siddaiah1, Anil Kumar Bm1, Saligrama Adavigowda Deepak2, Syed Salman Lateef2,3, Saurabh Nagpal2, Kanchugarakoppal S Rangappa4, Chakrabhavi D Mohan5, Shobith Rangappa6, Madan Kumar S4, Minaxi Sharma7, Vijai Kumar Gupta8,9.   

Abstract

There is an urge for traditional herbal remedies as an alternative to modern medicine in treating several ailments. Alangium salviifolium is one such plant, used traditionally to treat several diseases. In several reports, there are findings related to the use of this plant extract that demonstrate its therapeutic value. However, very few attempts have been made to identify the extensive metabolite composition of this plant. Here, we performed metabolite profiling and identification from the bark of A. salviifolium by extracting the sample in organic and aqueous solvents. The organic and aqueous extracts were fraction-collected using the Agilent 1260 Analytical Scale Fraction Collection System. Each of the fractions was analyzed on Liquid Chromatogaphy/Quadrupole Time-of-Flight LC/Q-TOF and Gas Chromatography/Quadrupole Time-of-Flight GC/instruments. The Liquid Chromatography/Mass Spectrometry (LC/MS) analyses were performed using Hydrophilic Ineraction Liquid Chromatography (HILIC), as well as reversed-phase chromatography using three separate, orthogonal reverse phase columns. Samples were analyzed using an Agilent Jet Stream (AJS) source in both positive and negative ionization modes. The compounds found were flavonoids, fatty acids, sugars, and terpenes. Eighty-one secondary metabolites were identified as having therapeutic potential. The data produced was against the METLIN database using accurate mass and/or MS/MS library matching. Compounds from Alangium that could not be identified by database or library matching were subsequently searched against the ChemSpider) database of over 30 million structures using MSMS data and Agilent MSC software.In order to identify compounds generated by GC/MS, the data were searched against the AgilentFiehn GCMS Metabolomics Library as well as the Wiley/NIST libraries.

Entities:  

Keywords:  Alangium salviifolium; GC/Q-TOF; LC/MS

Mesh:

Substances:

Year:  2020        PMID: 33374892      PMCID: PMC7821929          DOI: 10.3390/cells10010001

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


  7 in total

1.  Antibacterial compounds from the flowers of Alangium salviifolium.

Authors:  Adeeba Anjum; M Ekramul Haque; M Mukhlesur Rahman; Satyajit D Sarker
Journal:  Fitoterapia       Date:  2002-10       Impact factor: 2.882

Review 2.  The effect of developmental and environmental factors on secondary metabolites in medicinal plants.

Authors:  Yanqun Li; Dexin Kong; Ying Fu; Michael R Sussman; Hong Wu
Journal:  Plant Physiol Biochem       Date:  2020-01-07       Impact factor: 4.270

Review 3.  Plant Extracts and their Secondary Metabolites as Modulators of Kinases.

Authors:  Muhammad Shoaib Ali Gill; Hammad Saleem; Nafees Ahemad
Journal:  Curr Top Med Chem       Date:  2020       Impact factor: 3.295

4.  Antifungal activity and local toxicity study of Alangium salviifolium subsp hexapetalum.

Authors:  Mansuang Wuthi-udomlert; Sompop Prathanturarug; Yuvadee Wongkrajang
Journal:  Southeast Asian J Trop Med Public Health       Date:  2002       Impact factor: 0.267

5.  Phenolic glycosides from Alangium salviifolium leaves with inhibitory activity on LPS-induced NO, PGE(2), and TNF-alpha production.

Authors:  Manh Hung Tran; Hai Dang Nguyen; Jin Cheol Kim; Jae Sue Choi; Hyeong Kyu Lee; Byung-Sun Min
Journal:  Bioorg Med Chem Lett       Date:  2009-05-24       Impact factor: 2.823

Review 6.  Functional metabolomics: from biomarker discovery to metabolome reprogramming.

Authors:  Bo Peng; Hui Li; Xuan-Xian Peng
Journal:  Protein Cell       Date:  2015-07-02       Impact factor: 14.870

Review 7.  Untargeted metabolomics: an emerging approach to determine the composition of herbal products.

Authors:  Mauro Commisso; Pamela Strazzer; Ketti Toffali; Matteo Stocchero; Flavia Guzzo
Journal:  Comput Struct Biotechnol J       Date:  2013-02-28       Impact factor: 7.271

  7 in total

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