Evidence map›Paper›PMID 36806650›Full record

ArticleNature communications2023

Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples.

Raissa Lerner, Dhanwin Baker, Claudia Schwitter, Sarah Neuhaus, Tony Hauptmann, Julia M Post, Stefan Kramer, Laura Bindila

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
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  9. Separative Techniques Coupled to Mass Spectrometry for Metabolomic Analysis.Advances in experimental medicine and biology · 2026
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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

8 authors at 1 institution in 1 country.

Raissa Lerner *Clinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany.ORCID 0000-0002-7572-2169
Dhanwin Baker *Clinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany.ORCID 0000-0002-4470-3379
Claudia SchwitterClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany.
Sarah NeuhausClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany.
Tony HauptmannData Mining, Institute of Computer Science, Johannes Gutenberg University Mainz, Staudingerweg 9, 55128, Mainz, Germany.ORCID 0000-0003-1964-6568
Julia M PostClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany.ORCID 0000-0001-9258-5146
Stefan KramerData Mining, Institute of Computer Science, Johannes Gutenberg University Mainz, Staudingerweg 9, 55128, Mainz, Germany.
Laura BindilaClinical Lipidomics Unit, Institute of Physiological Chemistry, University Medical Center, Duesbergweg 6, 55128, Mainz, Germany. bindila@uni-mainz.de.ORCID 0000-0001-5538-2008
Johannes Gutenberg University Mainz · DE

Funding

National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
NIDDK NIH HHS U2C DK119886
6 · The paper itself

Abstract

Lipidomics encompassing automated lipid extraction, a four-dimensional (4D) feature selection strategy for confident lipid annotation as well as reproducible and cross-validated quantification can expedite clinical profiling. Here, we determine 4D descriptors (mass to charge, retention time, collision cross section, and fragmentation spectra) of 200 lipid standards and 493 lipids from reference plasma via trapped ion mobility mass spectrometry to enable the implementation of stringent criteria for lipid annotation. We use 4D lipidomics to confidently annotate 370 lipids in reference plasma samples and 364 lipids in serum samples, and reproducibly quantify 359 lipids using level-3 internal standards. We show the utility of our 4D lipidomics workflow for high-throughput applications by reliable profiling of intra-individual lipidome phenotypes in plasma, serum, whole blood, venous and finger-prick dried blood spots.

Indexed as

LipidomicsLipidsHumansIon Mobility SpectrometryWorkflowLipids

Identifiers

PMID36806650
PMCPMC9941096
OpenAlexW4321371365

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.