Evidence map›Paper›PMID 27548241›Full record

ArticleMetabolites2016

Monoacylglycerol Analysis Using MS/MS(ALL) Quadruple Time of Flight Mass Spectrometry.

Fei Gao, Justice McDaniel, Emily Y Chen, Hannah Rockwell, Matthew D Lynes, Yu-Hua Tseng, Rangaprasad Sarangarajan, Niven R Narain, Michael A Kiebish

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Tutorial on lipidomics.Analytica chimica acta · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

9 authors at 1 institution in 1 country.

Fei GaoBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Fei.Gao@Berghealth.com.
Justice McDanielBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Justice.McDaniel@Berghealth.com.
Emily Y ChenBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Emily.Chen@Berghealth.com.
Hannah RockwellBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Hannah.Rockwell@Berghealth.com.
Matthew D LynesSection on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA. Matthew.lynes@joslin.harvard.edu.
Yu-Hua TsengSection on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA. yu-hua.tseng@joslin.harvard.edu.
Rangaprasad SarangarajanBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Rangaprasad.Sarangarajan@Berghealth.com.
Niven R NarainBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Niven.Narain@Berghealth.com.
Michael A KiebishBERG, LLC, 500 Old Connecticut Path, Bldg B, 3rd Floor, Framingham, MA 01701, USA. Michael.Kiebish@BergHealth.com.
Joslin Diabetes Center · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
Role of BMPs in Adipogenesis, Mitochondrial Function and Energy MetabolismR01DK077097 · NIDDK · JOSLIN DIABETES CENTER · PI TSENG, YU-HUA · 2007 to 2019
$5.6M
Fibroblast Growth Factor and Energy MetabolismR01DK102898 · NIDDK · JOSLIN DIABETES CENTER · PI TSENG, YU-HUA · 2015 to 2024
$4.1M
Telomerase as a Marker of Brown and White Adipose Tissue Stem CellsF32DK102320 · NIDDK · JOSLIN DIABETES CENTER · PI LYNES, MATTHEW D · 2014 to 2014
$53k
NIDDK NIH HHS F32 DK102320NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK077097NIDDK NIH HHS R01 DK102898NIDDK NIH HHS T32 DK007260
6 · The paper itself

Abstract

Monoacylglycerols (MAGs) are structural and bioactive metabolites critical for biological function. Development of facile tools for measuring MAG are essential to understand its role in different diseases and various pathways. A data-independent acquisition method, MS/MS(ALL), using electrospray ionization (ESI) coupled quadrupole time of flight mass spectrometry (MS), was utilized for the structural identification and quantitative analysis of individual MAG molecular species. Compared with other acylglycerols, diacylglycerols (DAG) and triacylglycerols (TAG), MAG characteristically presented as a dominant protonated ion, [M + H]⁺, and under low collision energy as fatty acid-like fragments due to the neutral loss of the glycerol head group. At low concentrations (<10 pmol/µL), where lipid-lipid interactions are rare, there was a strong linear correlation between ion abundance and MAG concentration. Moreover, using the MS/MS(ALL) method the major MAG species from human plasma and mouse brown and white adipose tissues were quantified in less than 6 min. Collectively, these results demonstrate that MS/MS(ALL) analysis of MAG is an enabling strategy for the direct identification and quantitative analysis of low level MAG species from biological samples with high throughput and sensitivity.

Indexed as

acylglycerolsmass spectrometrymonoacyglycerolsMS/MSALLQTOF

Identifiers

PMID27548241
PMCPMC5041124
OpenAlexW2507580418

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.