Evidence map›Paper›PMID 35980164›Full record

ArticleAnalytical methods : advancing methods and applications2022

Analysis of endogenous metabolites using multifunctional derivatization and capillary RPLC-MS.

Julius Agongo, Michael Armbruster, Christopher Arnatt, James Edwards

Open access · greenAbstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2022. 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
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Julius AgongoDepartment of Chemistry and Biochemistry, Saint Louis University, 3501 Laclede Ave, St Louis, MO, 63103, USA. jim.edwards@slu.edu.
Michael ArmbrusterDepartment of Chemistry and Biochemistry, Saint Louis University, 3501 Laclede Ave, St Louis, MO, 63103, USA. jim.edwards@slu.edu.ORCID 0000-0002-9453-3419
Christopher ArnattDepartment of Chemistry and Biochemistry, Saint Louis University, 3501 Laclede Ave, St Louis, MO, 63103, USA. jim.edwards@slu.edu.
James EdwardsDepartment of Chemistry and Biochemistry, Saint Louis University, 3501 Laclede Ave, St Louis, MO, 63103, USA. jim.edwards@slu.edu.ORCID 0000-0003-1063-7518
Saint Louis University · US

Funding

Universal Metabolite TaggingR01GM134081 · NIGMS · SAINT LOUIS UNIVERSITY · PI ARNATT, CHRISTOPHER K, BYTHELL, BENJAMIN J. · 2019 to 2022
$1.8M
NIGMS NIH HHS R01 GM134081
6 · The paper itself

Abstract

Heterogeneity in metabolite structure and charge state complicates their analysis in electrospray mass spectrometry (ESI-MS). Complications such as diminished signal response and quantitation can be reduced by sequential dual-stage derivatization and capillary RP LC-ESI-MS analysis. Our sequential dual-stage chemical derivatization reacts analyte primary amine and hydroxyl groups with a linear acyl chloride head containing a tertiary amine moiety. Analyte carboxylate groups are then coupled to a linear amine tag with a tertiary amine moiety. This increase in the number of tags on analytes increases analyte proton affinity and hydrophobicity. We derivatized 250 metabolite standards which on average improved signal to noise by >44-fold, with an average limit of detection of 66 nM and

Indexed as

Spectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAminesAmino AcidsChloridesEndothelial CellsEpinephrineHumansLactatesProtonsPyruvatesAminesAmino AcidsChloridesEpinephrineLactatesProtonsPyruvates

Identifiers

PMID35980164
PMCPMC12767609
OpenAlexW4292183631

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.