Evidence map›Paper›PMID 29570976›Full record

ArticleAnalytical chemistry2018

Spatial Systems Lipidomics Reveals Nonalcoholic Fatty Liver Disease Heterogeneity.

Klára Ščupáková, Zita Soons, Gökhan Ertaylan, Keely A Pierzchalski, Gert B Eijkel, Shane R Ellis, Jan W Greve, Ann Driessen, Joanne Verheij, Theo M De Kok and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  15. Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Single-Cell Metabolomics by Mass Spectrometry Imaging.Advances in experimental medicine and biology · 2021
    Article
  20. Evolution of the liver biopsy and its future.Translational gastroenterology and hepatology · 2021
    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

13 authors at 5 institutions in 3 countries.

Klára ŠčupákováMaastricht Multimodal Molecular Imaging Institute (M4I) , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.
Zita SoonsDepartment of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM) , Maastricht University , 6229 ER Maastricht , The Netherlands.
Gökhan ErtaylanMaastricht Centre for Systems Biology (MaCSBio) , Maastricht University , 6229 ER Maastricht , The Netherlands.
Keely A PierzchalskiMaastricht Multimodal Molecular Imaging Institute (M4I) , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.
Gert B EijkelMaastricht Multimodal Molecular Imaging Institute (M4I) , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.
Shane R EllisMaastricht Multimodal Molecular Imaging Institute (M4I) , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.
Jan W GreveDepartment of Surgery , Zuyderland Medical Center , 6419 PC Heerlen , The Netherlands.
Ann DriessenDepartment of Pathology, University Hospital Antwerp , University Antwerp , 2650 Edegem , Belgium.
Joanne VerheijDepartment of Pathology, Academic Medical Center , University of Amsterdam , 1081 HV Amsterdam , The Netherlands.
Theo M De KokMaastricht Centre for Systems Biology (MaCSBio) , Maastricht University , 6229 ER Maastricht , The Netherlands.
Steven W M Olde DaminkDepartment of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM) , Maastricht University , 6229 ER Maastricht , The Netherlands.
Sander S RensenDepartment of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM) , Maastricht University , 6229 ER Maastricht , The Netherlands.
Ron M A HeerenMaastricht Multimodal Molecular Imaging Institute (M4I) , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.ORCID 0000-0002-6533-7179
Maastricht University · NLMaastricht University Medical Centre · NLAmsterdam UMC Location University of Amsterdam · NLAntwerp University Hospital · BEZuyderland Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular lipid accumulation characterizes nonalcoholic fatty liver disease (NAFLD). However, the types of lipids associated with disease progression are debated, as is the impact of their localization. Traditional lipidomics analysis using liver homogenates or plasma dilutes and averages lipid concentrations, and does not provide spatial information about lipid distribution. We aimed to characterize the distribution of specific lipid species related to NAFLD severity by performing label-free molecular analysis by mass spectrometry imaging (MSI). Fresh frozen liver biopsies from obese subjects undergoing bariatric surgery ( n = 23) with various degrees of NAFLD were cryosectioned and analyzed by matrix-assisted laser desorption/ionization (MALDI)-MSI. Molecular identification was verified by tandem MS. Tissue sections were histopathologically stained, annotated according to the Kleiner classification, and coregistered with the MSI data set. Lipid pathway analysis was performed and linked to local proteome networks. Spatially resolved lipid profiles showed pronounced differences between nonsteatotic and steatotic tissues. Lipid identification and network analyses revealed phosphatidylinositols and arachidonic acid metabolism in nonsteatotic regions, whereas low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) metabolism was associated with steatotic tissue. Supervised and unsupervised discriminant analysis using lipid based classifiers outperformed simulated analysis of liver tissue homogenates in predicting steatosis severity. We conclude that lipid composition of steatotic and nonsteatotic tissue is highly distinct, implying that spatial context is important for understanding the mechanisms of lipid accumulation in NAFLD. MSI combined with principal component-linear discriminant analysis linking lipid and protein pathways represents a novel tool enabling detailed, comprehensive studies of the heterogeneity of NAFLD.

Indexed as

Area Under CurveDiscriminant AnalysisHumansLipidsLipoproteins, LDLLipoproteins, VLDLLiverNon-alcoholic Fatty Liver DiseasePrincipal Component AnalysisROC CurveSeverity of Illness IndexSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationLipidsLipoproteins, LDLLipoproteins, VLDL

Identifiers

PMID29570976
PMCPMC5906754
OpenAlexW2794029228

What OpenQuestion holds

Textmetadata
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.