Biochemometrics for Natural Products Research: Comparison of Data Analysis Approaches and Application to Identification of Bioactive Compounds

Joshua J. Kellogg, Daniel A. Todd, Joseph M. Egan, Huzefa A. Raja, Nicholas H. Oberlies, Olav M. Kvalheim, Nadja B. Cech

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

A central challenge of natural products research is assigning bioactive compounds from complex mixtures. The gold standard approach to address this challenge, bioassay-guided fractionation, is often biased toward abundant, rather than bioactive, mixture components. This study evaluated the combination of bioassay-guided fractionation with untargeted metabolite profiling to improve active component identification early in the fractionation process. Key to this methodology was statistical modeling of the integrated biological and chemical data sets (biochemometric analysis). Three data analysis approaches for biochemometric analysis were compared, namely, partial least-squares loading vectors, S-plots, and the selectivity ratio. Extracts from the endophytic fungi Alternaria sp. and Pyrenochaeta sp. with antimicrobial activity against Staphylococcus aureus served as test cases. Biochemometric analysis incorporating the selectivity ratio performed best in identifying bioactive ions from these extracts early in the fractionation process, yielding altersetin (3, MIC 0.23 μg/mL) and macrosphelide A (4, MIC 75 μg/mL) as antibacterial constituents from Alternaria sp. and Pyrenochaeta sp., respectively. This study demonstrates the potential of biochemometrics coupled with bioassay-guided fractionation to identify bioactive mixture components. A benefit of this approach is the ability to integrate multiple stages of fractionation and bioassay data into a single analysis.

Original languageEnglish (US)
Pages (from-to)376-386
Number of pages11
JournalJournal of Natural Products
Volume79
Issue number2
DOIs
StatePublished - Feb 26 2016

Fingerprint

Fractionation
Biological Products
Biological Assay
Bioassay
Alternaria
Research
Least-Squares Analysis
Complex Mixtures
Staphylococcus aureus
Fungi
Ions
Metabolites

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Molecular Medicine
  • Pharmacology
  • Pharmaceutical Science
  • Drug Discovery
  • Complementary and alternative medicine
  • Organic Chemistry

Cite this

Kellogg, Joshua J. ; Todd, Daniel A. ; Egan, Joseph M. ; Raja, Huzefa A. ; Oberlies, Nicholas H. ; Kvalheim, Olav M. ; Cech, Nadja B. / Biochemometrics for Natural Products Research : Comparison of Data Analysis Approaches and Application to Identification of Bioactive Compounds. In: Journal of Natural Products. 2016 ; Vol. 79, No. 2. pp. 376-386.
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Biochemometrics for Natural Products Research : Comparison of Data Analysis Approaches and Application to Identification of Bioactive Compounds. / Kellogg, Joshua J.; Todd, Daniel A.; Egan, Joseph M.; Raja, Huzefa A.; Oberlies, Nicholas H.; Kvalheim, Olav M.; Cech, Nadja B.

In: Journal of Natural Products, Vol. 79, No. 2, 26.02.2016, p. 376-386.

Research output: Contribution to journalArticle

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