Evidence map›Paper›PMID 30115755›Full record

ArticleJournal of lipid research2018

MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.

Bo Burla, Makoto Arita, Masanori Arita, Anne K Bendt, Amaury Cazenave-Gassiot, Edward A Dennis, Kim Ekroos, Xianlin Han, Kazutaka Ikeda, Gerhard Liebisch and 10 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Journal of lipid research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
13.5field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 1 synthesis or guideline pooled it, 314 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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  5. A targeted lipidomics workflow for high-throughput phenotyping and mechanism-based in vitro hepatotoxicity studies.Toxicology in vitro : an international journal published in association with BIBRA · 2026
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83 more citing papers are in PubMed but not listed here.

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

20 authors at 13 institutions in 8 countries.

Bo BurlaSingapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore.ORCID 0000-0002-5918-3249
Makoto AritaLaboratory for Metabolomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Masanori AritaNational Institute of Genetics, Shizuoka, Japan and RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Anne K BendtSingapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore.ORCID 0000-0001-8198-6104
Amaury Cazenave-GassiotDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-3050-634X
Edward A DennisDepartments of Pharmacology and Chemistry and Biochemistry, School of Medicine, University of California at San Diego, La Jolla, CA.ORCID 0000-0003-3738-3140
Kim EkroosLipidomics Consulting Ltd., Esbo, Finland.ORCID 0000-0001-6810-4736
Xianlin HanBarshop Institute for Longevity and Aging Studies and Department of Medicine-Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX.ORCID 0000-0002-8615-2413
Kazutaka IkedaLaboratory for Metabolomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Gerhard LiebischInstitute of Clinical Chemistry and Laboratory Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-4886-0811
Michelle K LinDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, Singapore.
Tze Ping LohDepartment of Laboratory Medicine, National University Hospital, Singapore.
Peter J MeikleBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-2593-4665
Matej OrešičTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland and School of Medical Sciences, Örebro University, Örebro, Sweden.ORCID 0000-0002-2856-9165
Oswald QuehenbergerDepartments of Pharmacology and Medicine, School of Medicine, University of California at San Diego, La Jolla, CA.ORCID 0000-0001-8950-9169
Andrej ShevchenkoMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany bchmrw@nus.edu.sg shevchenko@mpi-cbg.de.ORCID 0000-0002-5079-1109
Federico TortaDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, Singapore.ORCID 0000-0001-7545-7484
Michael J O WakelamBabraham Institute, Cambridge, United Kingdom.
Craig E WheelockDivision of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-8113-0653
Markus R WenkSingapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore bchmrw@nus.edu.sg shevchenko@mpi-cbg.de.ORCID 0000-0001-5447-7881
National University of Singapore · SGUniversity of California, San Diego · USBabraham Institute · GBBaker Heart and Diabetes Institute · AUKarolinska Institutet · SEKeio University · JPMax Planck Institute of Molecular Cell Biology and Genetics · DENational Institute of Genetics · JPNational University Hospital · SGThe University of Texas Health Science Center at San Antonio · USUniversity of Regensburg · DEUniversity of Turku · FIYokohama City University · JP

Funding

STEROL LIPIDSU54GM069338 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DENNIS, EDWARD A · 2003 to 2013
$72.2M
ACTION OF LIPOLYTIC ENZYMESR01GM020501 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DENNIS, EDWARD A · 1985 to 2020
$7.3M
Identification of altered lipids predictive of anesthetic-induced brain injuryR01GM105724 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN · 2013 to 2016
$1.8M
Biotechnology and Biological Sciences Research Council BBS/E/B/000C0415Biotechnology and Biological Sciences Research Council BBS/E/B/000C0419Cancer Research UK 18720Medical Research Council MR/M004821/1NIGMS NIH HHS R01 GM020501NIGMS NIH HHS R01 GM105724NIGMS NIH HHS U54 GM069338
6 · The paper itself

Abstract

Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the plasma lipidome also occur in conditions that are not directly linked to lipid metabolism; therefore, plasma lipidomics based on MS is an emerging tool in an array of clinical diagnostics and disease management. However, challenges exist in the translation of such lipidomic data to clinical applications. These relate to the reproducibility, accuracy, and precision of lipid quantitation, study design, sample handling, and data sharing. This position paper emerged from a workshop that initiated a community-led process to elaborate and define a set of generally accepted guidelines for quantitative MS-based lipidomics of blood plasma or serum, with harmonization of data acquired on different instrumentation platforms across independent laboratories as an ultimate goal. We hope that other fields may benefit from and follow such a precedent.

Indexed as

Guidelines as TopicMass SpectrometryBlood Chemical AnalysisBlood Specimen CollectionDemographyFemaleHumansLipidsMaleReference StandardsLipidsabsolute concentrationsclinical researchclinical trialsdata sharingdiagnostic toolslipidsmass spectrometryNational Institute of Standards and Technology Standard Reference Material 1950quality control

Identifiers

PMID30115755
PMCPMC6168311
OpenAlexW2886084326

What OpenQuestion holds

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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.