Evidence map›Paper›PMID 37233655›Full record

ReviewMetabolites2023

Benchtop NMR-Based Metabolomics: First Steps for Biomedical Application.

Pilar Alonso-Moreno, Ignacio Rodriguez, Jose Luis Izquierdo-Garcia

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Applications of quantitativeJournal of pharmaceutical analysis · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. BoostingScience advances · 2024
    Article
  17. Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024
    Article
  18. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    Review
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

3 authors at 1 institution in 1 country.

Pilar Alonso-MorenoNMR and Imaging in Biomedicine Group, Instituto Pluridisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Ignacio RodriguezNMR and Imaging in Biomedicine Group, Instituto Pluridisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Jose Luis Izquierdo-GarciaNMR and Imaging in Biomedicine Group, Instituto Pluridisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-7907-3776
Universidad Complutense de Madrid · ES

Funding

European Union's Horizon 2020 Research and Innovation Program Marie Skłodowska-Curie grant agreement no. 823854Spanish Ministry of Science and Innovation PID2019-10656RJ-I00
6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR)-based metabolomics is a valuable tool for identifying biomarkers and understanding the underlying metabolic changes associated with various diseases. However, the translation of metabolomics analysis to clinical practice has been limited by the high cost and large size of traditional high-resolution NMR spectrometers. Benchtop NMR, a compact and low-cost alternative, offers the potential to overcome these limitations and facilitate the wider use of NMR-based metabolomics in clinical settings. This review summarizes the current state of benchtop NMR for clinical applications where benchtop NMR has demonstrated the ability to reproducibly detect changes in metabolite levels associated with diseases such as type 2 diabetes and tuberculosis. Benchtop NMR has been used to identify metabolic biomarkers in a range of biofluids, including urine, blood plasma and saliva. However, further research is needed to optimize the use of benchtop NMR for clinical applications and to identify additional biomarkers that can be used to monitor and manage a range of diseases. Overall, benchtop NMR has the potential to revolutionize the way metabolomics is used in clinical practice, providing a more accessible and cost-effective way to study metabolism and identify biomarkers for disease diagnosis, prognosis, and treatment.

Indexed as

benchtopbiomarkersdiabetesdiagnosislow fieldmetabolitesmetabolomicsnuclear magnetic resonancetuberculosis

Identifiers

PMID37233655
PMCPMC10223723
OpenAlexW4367624395

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.