Evidence map›Paper›PMID 41133822›Full record

ArticleAnalytical chemistry2025

Investigating a Systematic and Widespread Misidentification in the Metabolic Profiling Literature: Phenylacetylglutamine and Phenylacetylglycine Signal Misassignment in Proton NMR Spectra of Human and Rodent Urine.

Samuele Sala, Andres Bernal, Andres Castillo Robles, Philipp Nitschke, Reika Masuda, Janonna Kadyrov, Joram M Posma, Paul Elliott, John C Lindon, Ian D Wilson and 3 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Samuele SalaThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.ORCID 0000-0003-2971-646X
Andres BernalThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.ORCID 0000-0003-1668-7225
Andres Castillo RoblesThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.
Philipp NitschkeThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.ORCID 0000-0002-5814-7529
Reika MasudaThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.
Janonna KadyrovThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.
Joram M PosmaDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, Burlington Danes Building, Du Cane Road, London W12 0NN, U.K.ORCID 0000-0002-4971-9003
Paul ElliottInstitute of Global Health Innovation, Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, U.K.ORCID 0000-0002-7511-5684
John C LindonDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, Burlington Danes Building, Du Cane Road, London W12 0NN, U.K.ORCID 0000-0002-0916-6360
Ian D WilsonDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, Burlington Danes Building, Du Cane Road, London W12 0NN, U.K.ORCID 0000-0002-8558-7394
Elaine HolmesThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.ORCID 0000-0002-0556-8389
Julien WistThe Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia.ORCID 0000-0002-3416-2572
Jeremy K NicholsonInstitute of Global Health Innovation, Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, U.K.ORCID 0000-0002-8123-8349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assignment of endogenous and exogenous constituents within complex biological matrices remains a central challenge in metabolomics. Phenylacetylglutamine (PAGln) and phenylacetylglycine (PAGly) are terminal metabolites of the host-microbial co metabolism of phenylalanine, predominantly observed in humans and rodents, respectively. Motivated by a pervasive misidentification within the literature, we demonstrate that PAGln in human urine has been erroneously identified as PAGly in 82 of 166 NMR-based studies, yielding an estimated misannotation rate of 49%. Herein, we provide definitive assignments for both PAGly and PAGln, and present a comprehensive statistical evaluation of the NMR resonances attributed to both species, alongside their quantitative determination via targeted line-fitting approaches in extensive human and rodent urine samples obtained from the INTERSALT cohort (

Indexed as

GlutamineGlycineMetabolomicsProton Magnetic Resonance SpectroscopyAnimalsHumansMiceRatsGlutamineGlycinephenylacetylglutaminephenylacetylglycine

Identifiers

PMID41133822
PMCPMC12646498

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.