Evidence map›Paper›PMID 36943850›Full record

ArticlePloS one2023

Comparative metabolomics analysis reveals alkaloid repertoires in young and mature Mitragyna speciosa (Korth.) Havil. Leaves.

Rubashiny Veeramohan, Arief Izzairy Zamani, Kamalrul Azlan Azizan, Hoe-Han Goh, Wan Mohd Aizat, Mohd Fauzi Abd Razak, Nur Sabrina Mohd Yusof, Sharif Mahsufi Mansor, Syarul Nataqain Baharum, Chyan Leong Ng

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  4. Kratom (Molecules (Basel, Switzerland) · 2026
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  5. Environmental Influence on the Untargeted Foliar Metabolome of Naturally GrowingPlant-environment interactions (Hoboken, N.J.) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Examining the Psychoactive Differences between Kratom Strains.International journal of environmental research and public health · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rubashiny VeeramohanInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Arief Izzairy ZamaniInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Kamalrul Azlan AzizanInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Hoe-Han GohInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Wan Mohd AizatInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.ORCID 0000-0001-8115-9774
Mohd Fauzi Abd RazakInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Nur Sabrina Mohd YusofCentre for Drug Research, Universiti Sains Malaysia, Minden, Penang, Malaysia.
Sharif Mahsufi MansorCentre for Drug Research, Universiti Sains Malaysia, Minden, Penang, Malaysia.
Syarul Nataqain BaharumInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Chyan Leong NgInstitute of Systems Biology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.ORCID 0000-0001-8590-7418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fresh leaves of Mitragyna speciosa (Korth.) Havil. have been traditionally consumed for centuries in Southeast Asia for its healing properties. Although the alkaloids of M. speciosa have been studied since the 1920s, comparative and systematic studies of metabolite composition based on different leaf maturity levels are still lacking. This study assessed the secondary metabolite composition in two different leaf stages (young and mature) of M. speciosa, using an untargeted liquid chromatography-electrospray ionisation-time-of-flight-mass spectrometry (LC-ESI-TOF-MS) metabolite profiling. The results revealed 86 putatively annotated metabolite features (RT:m/z value) comprising 63 alkaloids, 10 flavonoids, 6 terpenoids, 3 phenylpropanoids, and 1 of each carboxylic acid, glucoside, phenol, and phenolic aldehyde. The alkaloid features were further categorised into 14 subclasses, i.e., the most abundant class of secondary metabolites identified. As per previous reports, indole alkaloids are the most abundant alkaloid subclass in M. speciosa. The result of multivariate analysis (MVA) using principal component analysis (PCA) showed a clear separation of 92.8% between the young and mature leaf samples, indicating a high variance in metabolite levels between them. Akuammidine, alstonine, tryptamine, and yohimbine were tentatively identified among the many new alkaloids reported in this study, depicting the diverse biological activities of M. speciosa. Besides delving into the knowledge of metabolite distribution in different leaf stages, these findings have extended the current alkaloid repository of M. speciosa for a better understanding of its pharmaceutical potential.

Indexed as

MitragynaSecologanin Tryptamine AlkaloidsIndole AlkaloidsMetabolomicsPlant ExtractsPlant LeavesIndole AlkaloidsPlant ExtractsSecologanin Tryptamine Alkaloids

Identifiers

PMID36943850
PMCPMC10030037

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.