Evidence map›Paper›PMID 38814344›Full record

ArticleAnalytical and bioanalytical chemistry2024

Recent additions and access to a multidimensional lipidomic database containing liquid chromatography, ion mobility spectrometry, and tandem mass spectrometry information.

Amie M Solosky, Kaylie I Kirkwood-Donelson, Melanie T Odenkirk, Erin S Baker

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Amie M SoloskyDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kaylie I Kirkwood-DonelsonImmunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, Durham, NC, USA.
Melanie T OdenkirkDepartment of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA.
Erin S BakerDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. erinmsb@unc.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Understanding the role of lipids in structure and function of membrane proteinsRM1GM145416 · NIGMS · TEXAS A&M UNIVERSITY · PI Erin S Baker, Arthur D Laganowsky · 2022 to 2026
$7.4M
Mass Spectrometry-based Untargeted MetabolomicsZICES103363 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JARMUSCH, ALAN · 2021 to 2025
$6.5M
Increasing the Coverage, Sensitivity and Specificity of Rapid Lipidomic MeasurementsR01GM141277 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAKER, ERIN S · 2022 to 2025
$1.2M
EPA STAR RD 84003201Intramural NIH HHS ZIC ES103363NIEHS NIH HHS P42 ES027704NIGMS NIH HHS R01 GM141277NIGMS NIH HHS RM1 GM145416
6 · The paper itself

Abstract

The importance of lipids in biology continues to grow with their recent linkages to more diseases and conditions, microbiome fluctuations, and environmental exposures. These associations have motivated researchers to evaluate lipidomic changes in numerous matrices and studies. Lipidomic analyses, however, present numerous challenges as lipid species have broad chemistries that require different extraction methods and instrumental analyses to evaluate and separate their many isomers and isobars. Increasing knowledge about different lipid characteristics is therefore crucial for improving their separation and identification. Here, we present a multidimensional database for lipids analyzed on a platform combining reversed-phase liquid chromatography, drift tube ion mobility spectrometry, collision-induced dissociation, and mass spectrometry (RPLC-DTIMS-CID-MS). This platform and the different separation characteristics it provides enables more confident lipid annotations when compared to traditional tandem mass spectrometry platforms, especially when analyzing highly isomeric molecules such as lipids. This database expands on our previous publication containing only human plasma and bronchoalveolar lavage fluid lipids and provides experimental RPLC retention times, IMS collision cross section (CCS) values, and m/z information for 877 unique lipids from additional biofluids and tissues. Specifically, the database contains 1504 precursor [M + H]

Indexed as

Databases, FactualIon Mobility SpectrometryLipidomicsLipidsTandem Mass SpectrometryAnimalsChromatography, LiquidHumansLipidsCollision cross sectionDatabaseIon mobility spectrometryLipidomicsLipidsMass spectrometryReverse phase liquid chromatography (RPLC)

Identifiers

PMID38814344
PMCPMC11427178

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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.