Evidence map›Paper›PMID 29874398›Full record

ArticleRapid communications in mass spectrometry : RCM2018

High-resolution gas chromatography/mass spectrometry metabolomics of non-human primate serum.

Biswapriya B Misra, Ekong Bassey, Andrew C Bishop, David T Kusel, Laura A Cox, Michael Olivier

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Omics-Driven Biotechnology for Industrial Applications.Frontiers in bioengineering and biotechnology · 2021
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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 2 institutions in 1 country.

Biswapriya B MisraCenter for Precision Medicine, Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0003-2589-6539
Ekong BasseyThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, CA, 95134, USA.
Andrew C BishopDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, 78227, USA.ORCID http://orcid.org/0000-0003-0534-0859
David T KuselThermo Fisher Scientific, 355 River Oaks Parkway, San Jose, CA, 95134, USA.
Laura A CoxCenter for Precision Medicine, Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Michael OlivierCenter for Precision Medicine, Department of Internal Medicine, Section of Molecular Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Texas Biomedical Research Institute · USThermo Fisher Scientific (United States) · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
NIH HHS P51 OD011133ODCDC CDC HHS P51 OD011133
6 · The paper itself

Abstract

rationaleMetabolomics analyses using gas chromatography/mass spectrometry (GC/MS)-based metabolomics are heavily impeded by the lack of high-resolution mass spectrometers and limited spectral libraries to complement the excellent chromatography that GC platforms offer, a challenge that is being addressed with the implementation of high-resolution (HR) platforms such as 1D-GC/Orbitrap-MS.

methodsWe used serum samples from a non-human primate (NHP), a baboon (Papio hamadryas), with suitable quality controls to quantify the chemical space using an advanced HRMS platform for confident metabolite identification and robust quantification to assess the suitability of the platform for routine clinical metabolomics research. In a complementary approach, we also analyzed the same serum samples using two-dimensional gas chromatography/time-of-flight mass spectrometry (2D-GC/TOF-MS) for metabolite identification and quantification following established standard protocols.

resultsOverall, the 2D-GC/TOF-MS (~5000 peaks per sample) and 1D-GC/Orbitrap-MS (~500 peaks per sample) analyses enabled identification and quantification of a total of 555 annotated metabolites from the NHP serum with a spectral similarity score R

conclusionsOur study provides insights into the benefits and limitations of the use of a higher mass resolution and mass accuracy instrument for untargeted GC/MS-based metabolomics with multi-dimensional chromatography in future studies addressing clinical conditions or exposome studies.

Indexed as

AnimalsGas Chromatography-Mass SpectrometryMaleMetabolomicsPapioSerum

Identifiers

PMID29874398
PMCPMC6395519
OpenAlexW2806945897

What OpenQuestion holds

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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.