Evidence map›Paper›PMID 22766306›Full record

ArticleFitoterapia2012

Unbiased evaluation of bioactive secondary metabolites in complex matrices.

Taichi Inui, Yuehong Wang, Samuel M Pro, Scott G Franzblau, Guido F Pauli

Abstract read
In one paragraph

Article in Fitoterapia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Optimization and Metabolomic Profiling ofInternational journal of molecular sciences · 2026
    Article
  2. Review
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  20. Identification of Intestinal UDP-Glucuronosyltransferase Inhibitors in Green Tea (Drug metabolism and disposition: the biological fate of chemicals · 2018
    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

5 authors.

Taichi InuiInstitute for Tuberculosis Research, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois 60612, USA.
Yuehong Wang
Samuel M Pro
Scott G Franzblau
Guido F Pauli

Funding

EVALUATION OF ALASKAN PLANTS FOR TUBERCULOSIS TREATMENTR43AT001758 · NCCIH · ALASKA GREEN GOLD COMPANY · PI SMITH, DAVID C · 2003 to 2003
$140k
NCCIH NIH HHS 1R43AT001758-01NCCIH NIH HHS R43 AT001758
6 · The paper itself

Abstract

The majority of bioactive principles in a complex matrix such as natural products and botanical medicines are secondary rather than primary metabolites. In addition to being chemically diverse, the bioactivity of an ethnobotanical can comprise from one to several bioactive compounds, present in a complex mixture. Conventional discovery efforts utilize bioassay-guided fractionation (BGF) to isolate individual active compounds. When applied to complex natural products, BGF is often challenged by an apparent loss of activity during fractionation, resulting in weakly active isolated compounds. Metabolomic analysis can potentially complement existing the BGF paradigm by capturing the chemical complexity of the metabolites. The proposed biochemometric approach establishes a link between the chemistry of a secondary metabolome and a deserved health impact, using a high-throughput, high-resolution capable biological endpoint. The proof of principle is demonstrated for the anti-tuberculosis (TB) activity of the Alaskan ethnobotanical, Oplopanax horridus. Biochemometric analysis identified the 100 most active constituents from thousands of metabolites in the active extract by means of 2D orthogonal chromatography using countercurrent and GC-MS methods. Previously isolated O. horridus phytoconstituents were used as reference markers of known structure and bio (in)activity. Positive correlations allowed distinction of anti-TB actives from inactive compounds. A total of 29 bioactives from 3 main structural classes were assigned based on MS data. Biochemometric analysis is a new tool for the standardization of herbal medicines and ethnobotanicals, as well as for drug discovery from nature. The method can assign multiple active compounds in complex mixtures without their prior isolation or structure elucidation, while still providing an interface to structural information.

Indexed as

MetabolomeAntitubercular AgentsChemical FractionationComplex MixturesCountercurrent DistributionDrug DiscoveryHerbal MedicineMetabolomicsMycobacterium tuberculosisOplopanaxPlant ExtractsAntitubercular AgentsComplex MixturesPlant Extracts

Identifiers

PMID22766306
PMCPMC3434706

What OpenQuestion holds

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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.