Evidence map›Paper›PMID 36652341›Full record

ArticleRapid communications in mass spectrometry : RCM2025

Comprehensive lipidome of human plasma using minimal sample manipulation by liquid chromatography coupled with mass spectrometry.

Bebiana C Sousa, Zulema Gonzalez Klein, Diane Taylor, Greg West, Aveline Neo Huipeng, Michael J O Wakelam, Andrea F Lopez-Clavijo

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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.

Bebiana C SousaLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.
Zulema Gonzalez KleinLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.ORCID https://orcid.org/0000-0003-3762-3781
Diane TaylorLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.
Greg WestLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.
Aveline Neo HuipengLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.
Michael J O WakelamLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.
Andrea F Lopez-ClavijoLipidomics Facility, Babraham Institute, Babraham Research Campus, Cambridge, UK.

Funding

Biotechnology and Biological Sciences Research CouncilComunidad de Madrid FOODAL-CM_S2018/BAAA-4574Universidad Politécnica de Madrid and Banco Santander Programa Propio
6 · The paper itself

Abstract

rationaleThe present work shows comprehensive chromatographic methods and MS conditions that have been developed based on the chemical properties of each lipid subclass to detect low-abundance molecular species. This study shows that the developed methods can detect low- and/or very-low-abundant lipids like phosphatidic acid (PA) in the glycerophospholipid (GP) method; dihydroceramide (dhCer) and dihydrosphingosine/sphinganine (dhSPB) in the sphingolipid (SP) method; and lysophosphatidic acid (LPA), LPI, LPG and sphingosine-1-phosphate (SPBP) in the lysolipid method.

methodsAn optimised method for the extraction of lysolipids in plasma is used in addition to Folch extraction. Then, four chromatographic methods coupled with mass spectrometry using targeted and untargeted approaches are described here. Three of the methods use a tertiary pumping system to enable the inclusion of a gradient for analyte separation (pumps A and B) and an isocratic wash (pump C). This wash solution elutes interfering compounds that could cause background signal in the subsequent injections, reducing column lifetime.

resultsSemi-quantitative values for 37 lipid subclasses are reported for a plasma sample (NIST SRM 1950). Furthermore, the methods presented here enabled the identification of 338 different lipid molecular species for GPs (mono- and diacyl-phospholipds), SPs, sterols and glycerolipids. The methods have been validated, and the reproducibility is presented here.

conclusionsThe comprehensive analysis of the lipidome addressed here of glycerolipids, GPs, sterols and SPs is in good agreement with previously reported results, in the NIST SRM 1950 sample, by other laboratories. Ten lipid subclasses LPS, LPI, alkyl-lysophosphatidic acid/alkenyl-lysophosphatidic acid, alkyl-lysophosphatidylethanolamine/alkenyl-lysophosphatidylethanolamine, dhCer (d18:0), SPB (d18:1), dhSPB (d18:0) and SPBP (d18:2) have been detected using this comprehensive method and are uniquely reported here.

Indexed as

LipidomicsLipidsMass SpectrometryChromatography, LiquidHumansLipids

Identifiers

PMID36652341
PMCPMC12062770

What Socratic 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 Socratic graph.