Evidence map›Paper›PMID 28417305›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Uncovering Structural Diversity of Unsaturated Fatty Acyls in Cholesteryl Esters via Photochemical Reaction and Tandem Mass Spectrometry.

Jia Ren, Elissia T Franklin, Yu Xia

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mapping Unsaturation in Human Plasma Lipids by Data-Independent Ozone-Induced Dissociation.Journal of the American Society for Mass Spectrometry · 2019
    Article
  11. Article
  12. Article
  13. Reshaping Lipid Biochemistry by Pushing Barriers in Structural Lipidomics.Angewandte Chemie (International ed. in English) · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

3 authors.

Jia RenDepartment of Chemistry, Purdue University, West Lafayette, IN, 47907-2084, USA.
Elissia T FranklinDepartment of Chemistry, Purdue University, West Lafayette, IN, 47907-2084, USA.
Yu XiaDepartment of Chemistry, Purdue University, West Lafayette, IN, 47907-2084, USA. yxia@purdue.edu.

Funding

Mass spectrometry method with C=C location specificity for qualitative and quantitative lipid analysisR01GM118484 · NIGMS · PURDUE UNIVERSITY · PI MCLUCKEY, SCOTT A · 2016 to 2020
$1.6M
NIGMS NIH HHS R01 GM118484
6 · The paper itself

Abstract

Mass spectrometry analysis of cholesteryl esters (CEs) faces several challenges, with one of them being the determination of the carbon-carbon double bond (C=C) locations within unsaturated fatty acyl chains. Paternὸ-Büchi (PB) reaction, a photochemical reaction based on the addition of acetone to C=C, is capable of C=C location determination when coupled with tandem mass spectrometry (MS/MS). In this study, the PB reaction conditions were tailored for CEs and subsequent nanoelectrospray ionization (nanoESI). A solvent system containing acetone/methanol/dichloromethane/water (40/30/20/10, volume ratios) and 100 μM LiOH was determined to be optimal, resulting in reasonable PB reaction yield (~30%) and good ionization efficiency (forming lithium adduct of CEs). Collision-induced dissociation (CID) of the PB reaction products produced characteristic fragment ions of CE together with those modified by the PB reactions, such as lithiated fatty acyl ([FA + Li]

Indexed as

C=C determinationCholesteryl estersLipidomicsPaternὸ-Büchi reactionTandem mass spectrometry

Identifiers

PMID28417305
PMCPMC5483228

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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.