Diverse Secondary Metabolites in Methanolic and Alkaloidal Extracts of Hunteria umbellata Leaves: Insights from Computational Molecular Networking

Authors

  • Rukayat A. Adedeji Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria Author https://orcid.org/0009-0005-5509-2322
  • Musibau G. Opemipo Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria Author
  • Oluwabukunmi A. Babalola Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria Author
  • Blessing E. Titilayo Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria Author https://orcid.org/0000-0001-9270-0853
  • Solomon O. Julius Department of Pharmacognosy, Faculty of Pharmacy, University of Lagos Author
  • Stephenie C. Alaribe Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria Author https://orcid.org/0000-0002-3708-4274

Keywords:

Medicinal Plant, Hunteria umbellata, Computational Molecular Networking, LC-MS/MS, Omics.

Abstract

Plants have long served as a vital source of therapeutic agents in both traditional and orthodox medicine. However, with the shift in drug discovery towards laboratory synthesis, there is a decline in the exploration of natural sources for drug development. This downturn calls for return to natural drug discovery and, more importantly, towards the development of improved methods of isolating, identifying, and characterising chemical moieties obtained from plants. This study redirects attention to natural product research by employing advanced metabolomic and computational approaches to characterise the bioactive compounds of Hunteria umbellata. Metabolomic technique was employed, utilising liquid chromatography-tandem mass spectrometry (LC-MS/MS) to separate the chemical components. The isolated compounds were then identified using their mass-to-charge (m/z) ratios. Chromatograms were analysed using a computational molecular networking tool to match the m/z values to known compounds in mass spectrometry libraries. Eighteen compounds were successfully isolated from the methanolic and alkaloidal extracts, including Yohimbine, (-)-Epicatechin, Picrinine, Tubotaiwine, Quercetin-3-O-robinobioside, and Pheophorbide A. To our knowledge, this represents the first comprehensive metabolomic profiling of H. umbellata using computational molecular networking, revealing a diverse set of flavonoids and indole alkaloids. Notably, the detection of Pheophorbide A, a chlorin derivative with photodynamic therapy potential, constitutes a new report for this species and suggests unexplored therapeutic relevance. These findings provide significant insight into the bioactive components of H. umbellata, supporting its traditional medicinal uses. Identifying clinically relevant compounds not only validates traditional practices but also highlights the plant's potential for contributing to modern drug discovery efforts.

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Additional Files

Published

2026-01-30

Data Availability Statement

Data that supports the reported results of this research is available from the corresponding author.

How to Cite

Diverse Secondary Metabolites in Methanolic and Alkaloidal Extracts of Hunteria umbellata Leaves: Insights from Computational Molecular Networking. (2026). Nigerian Journal of Biochemistry and Molecular Biology, 40(2), 150-159. https://www.nsbmb.org.ng/journals/index.php/njbmb/article/view/578

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