Evidence map›Paper›PMID 27038173›Full record

ArticleLipids2016

Dynamic Assessment of Functional Lipidomic Analysis in Human Urine.

Hannah E Rockwell, Fei Gao, Emily Y Chen, Justice McDaniel, Rangaprasad Sarangarajan, Niven R Narain, Michael A Kiebish

Abstract read
PubMed Publisher
In one paragraph

Article in Lipids, 2016. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Biofluid lipidome: a source for potential diagnostic biomarkers.Clinical and translational medicine · 2017
    Review
  12. Article
  13. 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

7 authors.

Hannah E RockwellBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Fei GaoBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Emily Y ChenBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Justice McDanielBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Rangaprasad SarangarajanBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Niven R NarainBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA.
Michael A KiebishBERG, LLC, 500 Old Connecticut Path, Bldg B (3rd Floor), Framingham, MA, 01701, USA. Michael.Kiebish@BergHealth.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of enabling mass spectrometry platforms for the quantification of diverse lipid species in human urine is of paramount importance for understanding metabolic homeostasis in normal and pathophysiological conditions. Urine represents a non-invasive biofluid that can capture distinct differences in an individual's physiological status. However, currently there is a lack of quantitative workflows to engage in high throughput lipidomic analysis. This study describes the development of a MS/MS(ALL) shotgun lipidomic workflow and a micro liquid chromatography-high resolution tandem mass spectrometry (LC-MS/MS) workflow for urine structural and mediator lipid analysis, respectively. This workflow was deployed to understand biofluid sample handling and collection, extraction efficiency, and natural human variation over time. Utilization of 0.5 mL of urine for structural lipidomic analysis resulted in reproducible quantification of more than 600 lipid molecular species from over 20 lipid classes. Analysis of 1 mL of urine routinely quantified in excess of 55 mediator lipid metabolites comprised of octadecanoids, eicosanoids, and docosanoids generated by lipoxygenase, cyclooxygenase, and cytochrome P450 activities. In summary, the high-throughput functional lipidomics workflow described in this study demonstrates an impressive robustness and reproducibility that can be utilized for population health and precision medicine applications.

Indexed as

Chromatography, LiquidFemaleHigh-Throughput Screening AssaysHumansLipidsMaleReproducibility of ResultsTandem Mass SpectrometryLipidsLipid analysisLipid metabolismMass spectrometryMolecular speciesPhospholipid analysisSecond messengers

Identifiers

PMID27038173

What OpenQuestion holds

Textmetadata
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.