Evidence map›Paper›PMID 31252628›Full record

ReviewMetabolites2019

NMR Spectroscopy for Metabolomics Research.

Abdul-Hamid Emwas, Raja Roy, Ryan T McKay, Leonardo Tenori, Edoardo Saccenti, G A Nagana Gowda, Daniel Raftery, Fatimah Alahmari, Lukasz Jaremko, Mariusz Jaremko and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 488 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
488citing papers in PubMed, 5 pooled it
41.6field-weighted citation impact, top 1% 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

488 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,073 citations in OpenAlex.

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  18. Urinary metabolic age from high-resolution nuclear magnetic resonance spectroscopy reveals longitudinal aging patterns.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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428 more citing papers are in PubMed but not listed here.

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

11 authors at 7 institutions in 6 countries.

Abdul-Hamid EmwasCore Labs, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-9231-3850
Raja RoyCentre of Biomedical Research, Formerly, Centre of Biomedical Magnetic Resonance, Sanjay Gandhi Post-Graduate Institute of Medical Sciences Campus, Uttar Pradesh 226014, India.ORCID 0000-0003-0048-0772
Ryan T McKayDepartment of Chemistry, University of Alberta, Edmonton, AB T6G 2W2, Canada.ORCID 0000-0002-0255-159X
Leonardo TenoriDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.ORCID 0000-0001-6438-059X
Edoardo SaccentiLaboratory of Systems and Synthetic Biology Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0001-8284-4829
G A Nagana GowdaNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican St., Seattle, WA 98109, USA.ORCID 0000-0002-0544-7464
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican St., Seattle, WA 98109, USA.ORCID 0000-0003-2467-8118
Fatimah AlahmariDepartment of NanoMedicine Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman bin Faisal University, Dammam 31441, Saudi Arabia.
Lukasz JaremkoDivision of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Mariusz JaremkoDivision of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E8, Canada.ORCID 0000-0002-3207-2434
King Abdullah University of Science and Technology · SAUniversity of Alberta · CAUniversity of Washington · USImam Abdulrahman Bin Faisal University · SASanjay Gandhi Post Graduate Institute of Medical Sciences · INUniversity of Florence · ITWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, nuclear magnetic resonance (NMR) has emerged as one of the three principal analytical techniques used in metabolomics (the other two being gas chromatography coupled to mass spectrometry (GC-MS) and liquid chromatography coupled with single-stage mass spectrometry (LC-MS)). The relative ease of sample preparation, the ability to quantify metabolite levels, the high level of experimental reproducibility, and the inherently nondestructive nature of NMR spectroscopy have made it the preferred platform for long-term or large-scale clinical metabolomic studies. These advantages, however, are often outweighed by the fact that most other analytical techniques, including both LC-MS and GC-MS, are inherently more sensitive than NMR, with lower limits of detection typically being 10 to 100 times better. This review is intended to introduce readers to the field of NMR-based metabolomics and to highlight both the advantages and disadvantages of NMR spectroscopy for metabolomic studies. It will also explore some of the unique strengths of NMR-based metabolomics, particularly with regard to isotope selection/detection, mixture deconvolution via 2D spectroscopy, automation, and the ability to noninvasively analyze native tissue specimens. Finally, this review will highlight a number of emerging NMR techniques and technologies that are being used to strengthen its utility and overcome its inherent limitations in metabolomic applications.

Indexed as

analytical platformGC-MSLC-MSmetabolomicsMSNMRresolutionsensitivity

Identifiers

PMID31252628
PMCPMC6680826
OpenAlexW2955080078

What OpenQuestion 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 OpenQuestion graph.