Evidence map›Paper›PMID 31974423›Full record

ArticleScientific reports2020

Mass spectrometry-based metabolomics approach in the isolation of bioactive natural products.

Daniel P Demarque, Renata G Dusi, Francisco D M de Sousa, Sophia M Grossi, Maira R S Silvério, Norberto P Lopes, Laila S Espindola

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Designing optimal experiments in metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2024
    Review
  10. Article
  11. Article
  12. Rosemary (Antioxidants (Basel, Switzerland) · 2023
    Article
  13. Article
  14. Article
  15. Hygrolansamycins A-D,Journal of microbiology and biotechnology · 2022
    Article
  16. Article
  17. Metabolites · 2022
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Daniel P DemarqueLaboratório de Farmacognosia, Universidade de Brasília, Brasília, Brazil.
Renata G DusiLaboratório de Farmacognosia, Universidade de Brasília, Brasília, Brazil.
Francisco D M de SousaLaboratório de Farmacognosia, Universidade de Brasília, Brasília, Brazil.
Sophia M GrossiLaboratório de Farmacognosia, Universidade de Brasília, Brasília, Brazil.
Maira R S SilvérioNúcleo de Pesquisa em Produtos Naturais e Sintéticos, Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
Norberto P LopesNúcleo de Pesquisa em Produtos Naturais e Sintéticos, Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
Laila S EspindolaLaboratório de Farmacognosia, Universidade de Brasília, Brasília, Brazil. darvenne@unb.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is a powerful tool in the analysis and identification of metabolites responsible for biological properties. Regarding natural product chemistry, it constitutes a potential strategy to streamline the classic and laborious process of isolating natural products, which often involves the re-isolation and identification of known compounds. In this contribution, we establish a mass spectrometry-based metabolomics strategy to discover compounds with larvicidal activity against Aedes aegypti. We analyse the Brazilian plant Annona crassiflora using different platforms to annotate the active compounds in different extracts/fractions of various plant parts. The MetaboAnalyst and GNPS platforms, which consider LC-MS and LC-MS/MS data, respectively, were chosen to identify compounds that differentiate active and inactive samples. Bio-guided isolation was subsequently performed to confirm compound activity. Results proved the capacity of metabolomics to predict metabolite differences between active and inactive samples using LC-MS and LC-MS/MS data. Moreover, we discuss the limitations, possibilities, and strategies to have a broad view of vast data.

Indexed as

AedesAnimalsAnnonaBiological ProductsChromatography, LiquidInsecticidesLarvaMetabolomicsPlant ExtractsSecondary MetabolismTandem Mass SpectrometryBiological ProductsInsecticidesPlant Extracts

Identifiers

PMID31974423
PMCPMC6978511

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.