Evidence map›Paper›PMID 28081809›Full record

ArticleAnalytica chimica acta2017

Off-line mixed-mode liquid chromatography coupled with reversed phase high performance liquid chromatography-high resolution mass spectrometry to improve coverage in lipidomics analysis.

Mónica Narváez-Rivas, Ngoc Vu, Guan-Yuan Chen, Qibin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytica chimica acta, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
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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

4 authors.

Mónica Narváez-RivasCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA.
Ngoc VuDepartment of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27412, USA.
Guan-Yuan ChenCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA.
Qibin ZhangCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA; Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC 27412, USA. Electronic address: q_zhang2@uncg.edu.

Funding

An Ultrasensitive Mass Spectrometry Platform for Comprehensive Analysis of LipidsR21GM104678 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI TANG, KEQI, ZHANG, QIBIN · 2012 to 2014
$591k
NIGMS NIH HHS R21 GM104678
6 · The paper itself

Abstract

The confident identification and in-depth profiling of molecular lipid species remain to be a challenge in lipidomics analysis. In this work, an off-line two-dimensional mixed-mode and reversed-phase liquid chromatography (RPLC) method combined with high-field quadrupole orbitrap mass spectrometer (Q Exactive HF) was developed to profile lipids from complex biological samples. In the first dimension, 22 different lipid classes were separated on a monolithic silica column with elution order from neutral to polar lipids. A total of 13 fractions were collected and run on a RPLC C30 column in the second dimension for further separation of the lipid molecular species based on their hydrophobicity, with the elution order being determined by both the length and degree of unsaturation in the fatty-acyl chain. The method was applied to analyze lipids extracted from rat plasma and rat liver. Fatty acid methyl ester analysis by gas chromatography-mass spectrometry was used to identify the fatty acyls from total lipid extracts, which provided a more confident identification of the lipid species present in these samples. More than 800 lipids were identified in each sample and their molecular structures were confidentially confirmed using tandem mass spectrometry (MS/MS). The number of lipid molecular species identified in both rat plasma and rat liver by this off-line two-dimensional method is approximately twice of that by one-dimensional RPLC-MS/MS employing a C30 column. This off-line two-dimensional mixed-mode LC-RPLC-MS/MS method is a promising technique for comprehensive lipid profiling in complex biological matrices.

Indexed as

Chromatography, High Pressure LiquidChromatography, Reverse-PhaseTandem Mass SpectrometryAnimalsLipidsLiverPlasmaRatsLipidsAccucore C30 columnMonolithic columnOff-line two-dimensional liquid chromatographyRat liver lipidomeRat plasma lipidomeUntargeted lipidomics

Identifiers

PMID28081809
PMCPMC5260842

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Registered trials

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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.