Evidence map›Paper›PMID 36443449›Full record

ArticleAnalytical and bioanalytical chemistry2023

Rapid LC-MS assay for targeted metabolite quantification by serial injection into isocratic gradients.

Ryan A Groves, Carly C Y Chan, Spencer D Wildman, Daniel B Gregson, Thomas Rydzak, Ian A Lewis

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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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

6 authors at 1 institution in 1 country.

Ryan A GrovesDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Carly C Y ChanDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Spencer D WildmanDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Daniel B GregsonAlberta Precision Laboratories, Calgary, AB, T2L 2K8, Canada.
Thomas RydzakDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Ian A LewisDepartment of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada. ian.lewis2@ucalgary.ca.
University of Calgary · CA

Funding

Alberta Innovates Translational Health Chair
6 · The paper itself

Abstract

Liquid chromatography mass spectrometry (LC-MS) has emerged as a mainstream strategy for metabolomics analyses. One advantage of LC-MS is that it can serve both as a biomarker discovery tool and as a platform for clinical diagnostics. Consequently, it offers an exciting opportunity to potentially transition research studies into real-world clinical tools. One important distinction between research versus diagnostics-based applications of LC-MS is throughput. Clinical LC-MS must enable quantitative analyses of target molecules in hundreds or thousands of samples each day. Currently, the throughput of these clinical applications is limited by the chromatographic gradient lengths, which-when analyzing complex metabolomics samples-are difficult to conduct in under ~ 3 min per sample without introducing serious quantitative analysis problems. To address this shortcoming, we developed sequential quantification using isotope dilution (SQUID), an analytical strategy that combines serial sample injections into a continuous isocratic mobile phase to maximize throughput. SQUID uses internal isotope-labelled standards to correct for changes in LC-MS response factors over time. We show that SQUID can detect microbial polyamines in human urine specimens (lower limit of quantification; LLOQ = 106 nM) with less than 0.019 normalized root mean square error. Moreover, we show that samples can be analyzed in as little as 57 s. We propose SQUID as a new, high-throughput LC-MS tool for quantifying small sets of target biomarkers across large cohorts.

Indexed as

MetabolomicsTandem Mass SpectrometryBiomarkersChromatography, LiquidHumansPolyaminesBiomarkersPolyaminesDiagnosticsHigh-throughput screeningLC–MSMetabolomics

Identifiers

PMID36443449
PMCPMC9823034
OpenAlexW4310124498

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.