Evidence map›Paper›PMID 31463851›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

NMR Metabolomics Protocols for Drug Discovery.

Fatema Bhinderwala, Robert Powers

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024
    Article
  8. Article
  9. Chemical shift variations in common metabolites.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  10. Article
  11. Article
  12. Frontiers in psychiatry · 2021
    Review
  13. Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021
    Review
  14. Article
  15. Article
  16. 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

2 authors.

Fatema BhinderwalaDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA.
Robert PowersDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE, USA. rpowers3@unl.edu.

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI RAZAVI RIZI, MOHAMMAD · 2016 to 2025
$20.8M
Redox Biology CenterP30GM103335 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI BECKER, DONALD F · 2012 to 2016
$4.3M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCRR NIH HHS C06 RR015468NIGMS NIH HHS P20 GM113126NIGMS NIH HHS P30 GM103335
6 · The paper itself

Abstract

Drug discovery is an extremely difficult and challenging endeavor with a very high failure rate. The task of identifying a drug that is safe, selective, and effective is a daunting proposition because disease biology is complex and highly variable across patients. Metabolomics enables the discovery of disease biomarkers, which provides insights into the molecular and metabolic basis of disease and may be used to assess treatment prognosis and outcome. In this regard, metabolomics has evolved to become an important component of the drug discovery process to resolve efficacy and toxicity issues and as a tool for precision medicine. A detailed description of an experimental protocol is presented that outlines the application of NMR metabolomics to the drug discovery pipeline. This includes (1) target identification by understanding the metabolic dysregulation in diseases, (2) predicting the mechanism of action of newly discovered or existing drug therapies, (3) and using metabolomics to screen a chemical lead to assess biological activity. Unlike other OMICS approaches, the metabolome is "fragile" and may be negatively impacted by improper sample collection, storage, and extraction procedures. Similarly, biologically irrelevant conclusions may result from incorrect data collection, preprocessing or processing procedures, or the erroneous use of univariate and multivariate statistical methods. These critical concerns are also addressed in the protocol.

Indexed as

Drug DiscoveryAnimalsBacteriaBiomarkersDrug Evaluation, PreclinicalHumansMagnetic Resonance SpectroscopyMetabolomeMetabolomicsMiceModels, BiologicalPharmaceutical PreparationsBiomarkersPharmaceutical PreparationsChemometricsDrug discoveryMetabolomicsNMR

Identifiers

PMID31463851
PMCPMC7025395

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.