Evidence map›Paper›PMID 36755131›Full record

ReviewNature protocols2023

Quantitative multiple fragment monitoring with enhanced in-source fragmentation/annotation mass spectrometry.

Samuel Bernardo-Bermejo, Jingchuan Xue, Linh Hoang, Elizabeth Billings, Bill Webb, M Willy Honders, Sanne Venneker, Bram Heijs, María Castro-Puyana, María Luisa Marina and 5 more

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Review
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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

15 authors at 4 institutions in 4 countries.

Samuel Bernardo-Bermejo *Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Alcalá de Henares (Madrid), Spain.
Jingchuan Xue *Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, China.
Linh HoangScripps Center for Metabolomics, The Scripps Research Institute, La Jolla, CA, USA.
Elizabeth BillingsScripps Center for Metabolomics, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-4320-3276
Bill WebbScripps Center for Metabolomics, The Scripps Research Institute, La Jolla, CA, USA.
M Willy HondersDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
Sanne VennekerDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-4067-9818
Bram HeijsCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.
María Castro-PuyanaUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Alcalá de Henares (Madrid), Spain.
María Luisa MarinaUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Alcalá de Henares (Madrid), Spain.
Erik B van den AkkerCenter for Computational Biology, Leiden University Medical Center, Leiden, the Netherlands.
Marieke GriffioenDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
Gary SiuzdakScripps Center for Metabolomics, The Scripps Research Institute, La Jolla, CA, USA. siuzdak@scripps.edu.ORCID 0000-0002-4749-0014
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands. M.A.Giera@lumc.nl.ORCID 0000-0003-1684-1894
Elena Sánchez-LópezCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands. E.Sanchez_Lopez@lumc.nl.ORCID 0000-0001-8546-766X
Leiden University Medical Center · NLScripps Research Institute · USUniversidad de Alcalá · ESGuangdong University of Technology · CN

Funding

Metabolomics Technologies to Advance Biomedical ResearchR35GM130385 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI GARY E SIUZDAK · 2019 to 2026
$3.9M
Mummichog 3, aligning mass spectrometry data to biological networks - Neutral LossU01CA235493 · NCI · JACKSON LABORATORY · PI LI, SHUZHAO, SIUZDAK, GARY E · 2018 to 2021
$2.0M
NCI NIH HHS U01 CA235493NIGMS NIH HHS R35 GM130385
6 · The paper itself

Abstract

Analytical techniques with high sensitivity and selectivity are essential to the quantitative analysis of clinical samples. Liquid chromatography coupled to tandem mass spectrometry is the gold standard in clinical chemistry. However, tandem mass spectrometers come at high capital expenditure and maintenance costs. We recently showed that it is possible to generate very similar results using a much simpler single mass spectrometry detector by performing enhanced in-source fragmentation/annotation (EISA) combined with correlated ion monitoring. Here we provide a step-by-step protocol for optimizing the analytical conditions for EISA, so anyone properly trained in liquid chromatography-mass spectrometry can follow and apply this technique for any given analyte. We exemplify the approach by using 2-hydroxyglutarate (2-HG) which is a clinically relevant metabolite whose D-enantiomer is considered an 'oncometabolite', characteristic of cancers associated with mutated isocitrate dehydrogenases 1 or 2 (IDH1/2). We include procedures for determining quantitative robustness, and show results of these relating to the analysis of DL-2-hydroxyglutarate in cells, as well as in serum samples from patients with acute myeloid leukemia that contain the IDH1/2 mutation. This EISA-mass spectrometry protocol is a broadly applicable and low-cost approach for the quantification of small molecules that has been developed to work well for both single-quadrupole and time-of-flight mass analyzers.

Indexed as

GlutaratesNeoplasmsChromatography, LiquidHumansTandem Mass Spectrometryalpha-hydroxyglutarateGlutarates

Identifiers

PMID36755131
PMCPMC10364092
OpenAlexW4319591110

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.