Evidence map›Paper›PMID 41729704›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2026

New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.

Robert Ahrends, Erin S Baker, Kim Ekroos, Shane R Ellis

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Robert AhrendsDepartment of Analytical Chemistry, University of Vienna, Vienna, Austria.
Erin S BakerDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kim EkroosLipidomics Consulting Ltd., Esbo, Finland.
Shane R EllisMolecular Horizons and School of Science, University of Wollongong, Wollongong, New South Wales, Australia; email: sellis@uow.edu.au.

Funding

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
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
NIGMS NIH HHS R01 GM141277NIGMS NIH HHS RM1 GM145416
6 · The paper itself

Abstract

The rapid and continued development of mass spectrometry-based technologies has significantly increased the capability to study and characterize lipids while providing new insight into the complex roles of lipids throughout biology. These capabilities have included the ability to quantify, structurally characterize (including resolving isomers that pose significant challenges to lipidomics), and spatially map lipids within numerous complex organisms, revealing new capabilities in emerging areas such as single-cell analysis. With these rapid developments, several challenges have emerged, such as accurate lipid identification, incorrect and overinterpretation of mass spectrometry data and structural assignments, and the need for improved analytical and bioinformatics tools to understand lipidomics data at the pathway and systems levels. This review critically assesses analytical technologies used for lipidomics studies, along with current challenges and technological developments driving the field forward. By highlighting these challenges, and possible avenues to address them, this review emphasizes the excitement for the future of lipidomics and the need for continued development of analytical tools to enhance our understanding of lipid biology.

Indexed as

LipidomicsLipidsAnimalsComputational BiologyHumansMass SpectrometryLipidsbioinformaticsion mobilityisomerslipidomicsmass spectrometrymass spectrometry imagingsingle cell analysis

Identifiers

PMID41729704
PMCPMC13066899

What OpenQuestion holds

Textmetadata
LicenceTDM
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.