Evidence map›Paper›PMID 39807959›Full record

ArticleThe Analyst2025

Detection and quantification of ergothioneine in human serum using surface enhanced Raman scattering (SERS).

Stefano Fornasaro, Nigel Gotts, Gioia Venturotti, Marina Wright Muelas, Ivayla Roberts, Valter Sergo, Royston Goodacre, Alois Bonifacio

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Stefano FornasaroDepartment of Chemical and Pharmaceutical Sciences, University of Trieste, via L. Giorgieri 1, 34127 Trieste, Italy. sfornasaro@units.it.ORCID http://orcid.org/0000-0003-3057-7559
Nigel GottsCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Gioia VenturottiDepartment of Engineering and Architecture, University of Trieste, via A. Valerio 6, 34127 Trieste, Italy.
Marina Wright MuelasCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Ivayla RobertsCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Valter SergoDepartment of Engineering and Architecture, University of Trieste, via A. Valerio 6, 34127 Trieste, Italy.ORCID http://orcid.org/0000-0003-3864-658X
Royston GoodacreCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.ORCID http://orcid.org/0000-0003-2230-645X
Alois BonifacioDepartment of Engineering and Architecture, University of Trieste, via A. Valerio 6, 34127 Trieste, Italy.ORCID http://orcid.org/0000-0002-2251-7786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ergothioneine (ERG) is a natural sulfur-containing amino acid found in many organisms, including humans. It accumulates at high concentrations in red blood cells and is distributed to various organs, including the brain. ERG has numerous health benefits and antioxidant capabilities, and it has been linked to various human physiological processes, such as anti-inflammatory, neuroprotective, and anti-aging effects. Accurate, rapid, and cost-effective quantification of ERG levels in human biofluids is crucial for understanding its role in oxidative stress-related diseases. Surface-enhanced Raman scattering (SERS) is an effective approach for measuring compounds at concentrations similar to those at which ERG is present in serum. However, while SERS has been used to characterize or detect ERG, quantification has not yet been achieved due to the variability in the signal enhancement that can arise during sample preparation and analysis. This study introduces a highly efficient and reliable technique for quickly (20 min is typical per sample) measuring ERG levels in human serum using SERS. This employs an internal standard highly specific for ERG which resulted in limit of quantification values of 0.71 μM. To validate this approach, we analysed real human serum with unknown ERG levels as a blind test set and primary reference levels of ERG were produced using a targeted UHPLC-MS/MS reference method.

Indexed as

ErgothioneineSpectrum Analysis, RamanChromatography, High Pressure LiquidGoldHumansLimit of DetectionMetal NanoparticlesTandem Mass SpectrometryErgothioneineGold

Identifiers

PMID39807959
PMCPMC11731495

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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.