Evidence map›Paper›PMID 41868790›Full record

ArticlePeerJ2026

Integrative metabolomics using untargeted UHPLC-MS/MS and chemometrics identifies optimal maturity stage of

Ummi Kalthum Azlan, Hadi Azamuddin Abd Hakim, Pei Lou Wong, Noor Hanini Che Lah, Chenyu Zhou, Nur Irlia Sofea Mohammad Zamani, Xiaohui Tong, Rongchun Han, Norazlan Mohmad Misnan, Murni Nazira Sarian and 4 more

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Ummi Kalthum AzlanInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Hadi Azamuddin Abd HakimInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Pei Lou WongSunway Biofunctional Molecules Discovery Centre, Faculty of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia.
Noor Hanini Che LahInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Chenyu ZhouInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Nur Irlia Sofea Mohammad ZamaniFaculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, Bukit Baru, Malacca, Malaysia.
Xiaohui TongSchool of Life Sciences, Anhui University of Chinese Medicine, Hefei, China.
Rongchun HanSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Norazlan Mohmad MisnanHerbal Medicine Research Centre, Institute for Medical Research, National Institutes of Health, Shah Alam, Selangor, Malaysia.ORCID 0000-0003-0942-9543
Murni Nazira SarianInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Emelda Rosseleena RohaniInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.ORCID 0000-0001-7951-794X
Ahmed MedianiInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Faidruz Azura JamFaculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, Bukit Baru, Malacca, Malaysia.
Hamizah Shahirah HamezahInstitute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.ORCID 0000-0003-2169-5000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Results: Day-60 leaf extracts exhibited higher TPC and TFC compared to younger stages, with strong antioxidant activity as indicated by elevated DPPH and FRAP values. In contrast, AChE inhibition was highest in day-30 extracts. Metabolomics profiling with chemometrics integration using MVDA identified and tentatively annotated 27 metabolites with predominantly flavonoids (59%), phenolic acids (19%), glucosinolates (7%), and minor components including coumarins, folates, and alkaloid-like compounds. Principal component analysis (PCA) and partial least squares (PLS) biplot revealed distinct metabolic clustering, with day-60 extract formed clear separated cluster, determined by accumulation of quercetin rutinoside, chlorogenic acid, kaempferol derivatives, and procyanidin B2. PLS biplot demonstrated that quercetin derivatives, chlorogenic acid, and procyanidin B2 were positively associated with antioxidant indicator, while coumarin and folic acid aligned with AChE inhibition. Unknown metabolites indicated by chromatogram peak area with high Variable Importance in Projection (VIP) scores (>1) also contributed to bioactivity trends and separation, lead to potential of unannotated phytochemicals. Conclusion: This study found that maturity stage influences the phytochemistry and bioactivities of

Indexed as

MetabolomicsMoringa oleiferaPlant ExtractsPlant LeavesAntioxidantsChromatography, High Pressure LiquidFlavonoidsLiquid Chromatography-Mass SpectrometryMalaysiaMetabolomePhenolsTandem Mass SpectrometryAntioxidantsFlavonoidsPhenolsPlant ExtractsAntioxidantFlavonoidsMaturity stagesMetabolomicsMoringa oleiferaPolyphenols

Identifiers

PMID41868790
PMCPMC13005613

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Registered trials

None linked

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.