Unknown

Dataset Information

0

Metabolomics data of Mitragyna speciosa leaf using LC-ESI-TOF-MS.

ABSTRACT: Mitragyna speciosa is a psychoactive plant known as "ketum" in Malaysia and "kratom" in Thailand. This plant is distinctly known to produce two important alkaloids, namely mitragynine (MG) and 7-hydroxymitragynine (7-OH-MG) that can bind to opioid receptors [1]. MG was reported to exhibit antidepressant properties in animal studies [2]. These compounds were also proposed to have the potential to replace opioid analgesics with much lower risks of side effects [3]. To date, there are only over 40 metabolites identified in M. speciosa [4,5]. To obtain a more complete profile of secondary metabolites in ketum, we performed metabolomics study using mature leaves of the green M. speciosa variety. The leaf samples were extracted using methanol prior to liquid chromatography-electrospray ionization-time of flight-mass spectrometry (LC-ESI-TOF-MS) analysis. This data can be useful to for the identification of unknown metabolites that are associated with alkaloid biosynthesis pathway in M. speciosa.

SUBMITTER: Veeramohan R 

PROVIDER: S-EPMC5996727 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

<i>Mitragyna speciosa</i> is a psychoactive plant known as "ketum" in Malaysia and "kratom" in Thailand. This plant is distinctly known to produce two important alkaloids, namely mitragynine (MG) and 7-hydroxymitragynine (7-OH-MG) that can bind to opioid receptors [1]. MG was reported to exhibit antidepressant properties in animal studies [2]. These compounds were also proposed to have the potential to replace opioid analgesics with much lower risks of side effects [3]. To date, there are only o  ...[more]

Similar Datasets

Unknown Chemical Discrimination of Astragalus mongholicus and Astragalus membranaceus Based on Metabolomics Using UHPLC-ESI-Q-TOF-MS/MS Approach.
| S-EPMC6891664 | biostudies-literature
Unknown Filtering procedures for untargeted LC-MS metabolomics data.
| S-EPMC6570933 | biostudies-literature
Unknown ESI-LC-MS based-metabolomics data of mangosteen (Garcinia mangostana Linn.) fruit pericarp, aril and seed at different ripening stages.
| S-EPMC5988417 | biostudies-other
Genomics Mitragyna speciosa
| PRJNA693920 | ENA
Unknown Local false discovery rate estimation using feature reliability in LC/MS metabolomics data.
| S-EPMC4657040 | biostudies-literature
Unknown Hybrid feature detection and information accumulation using high-resolution LC-MS metabolomics data.
| S-EPMC3624888 | biostudies-literature
Unknown Determination of the glycation sites of Bacillus anthracis neoglycoconjugate vaccine by MALDI-TOF/TOF-CID-MS/MS and LC-ESI-QqTOF-tandem mass spectrometry.
| S-EPMC3427925 | biostudies-literature
Unknown Network Marker Selection for Untargeted LC-MS Metabolomics Data.
| S-EPMC5441461 | biostudies-literature
Unknown Integrated use of LC/MS/MS and LC/Q-TOF/MS targeted metabolomics with automated label-free microscopy for quantification of purine metabolites in cultured mammalian cells.
| S-EPMC6439090 | biostudies-other
Unknown Exploring the Antibacterial Activity of Pestalotiopsis spp. under Different Culture Conditions and Their Chemical Diversity Using LC-ESI-Q-TOF-MS.
| S-EPMC7557868 | biostudies-literature