Evidence map›Paper›PMID 32271007›Full record

ArticleAnalytical chemistry2020

Mass Spectral Library of Acylcarnitines Derived from Human Urine.

Xinjian Yan, Sanford P Markey, Ramesh Marupaka, Qian Dong, Brian T Cooper, Yuri A Mirokhin, William E Wallace, Stephen E Stein

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
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  4. Pan-Metabolomics Repository Mapping of the Carnitine Landscape.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Urinary metabolome dynamics inMetabolomics : Official journal of the Metabolomic Society · 2025
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The critical role that spectral libraries play in capturing the metabolomics community knowledge.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  17. Article
  18. Article
  19. Review
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 at 2 institutions in 1 country.

Xinjian YanMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.ORCID 0000-0003-3204-7420
Sanford P MarkeyMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
Ramesh MarupakaMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
Qian DongMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
Brian T CooperDepartment of Chemistry, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States.ORCID 0000-0002-3708-9657
Yuri A MirokhinMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
William E WallaceMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
Stephen E SteinMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States.
National Institute of Standards and Technology · USUniversity of North Carolina at Charlotte · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

We describe the creation of a mass spectral library of acylcarnitines and conjugated acylcarnitines from the LC-MS/MS analysis of six NIST urine reference materials. To recognize acylcarnitines, we conducted in-depth analyses of fragmentation patterns of acylcarnitines and developed a set of rules, derived from spectra in the NIST17 Tandem MS Library and those identified in urine, using the newly developed hybrid search method. Acylcarnitine tandem spectra were annotated with fragments from carnitine and acyl moieties as well as neutral loss peaks from precursors. Consensus spectra were derived from spectra having similar retention time, fragmentation pattern, and the same precursor

Indexed as

CarnitineChromatography, LiquidHumansMolecular StructureTandem Mass SpectrometryacylcarnitineCarnitine

Identifiers

PMID32271007
PMCPMC7657438
OpenAlexW3015549649

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.