Evidence map›Paper›PMID 30824564›Full record

ArticleMolecular systems biology2019

Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease.

Lili Niu, Philipp E Geyer, Nicolai J Wewer Albrechtsen, Lise L Gluud, Alberto Santos, Sophia Doll, Peter V Treit, Jens J Holst, Filip K Knop, Tina Vilsbøll and 7 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed
22.7field-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

170 citing papers in PubMed, 292 citations in OpenAlex.

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  5. Gene-Based Clustering Identifies QSOX1 and IL1RAP as Biomarkers of Metabolic Dysfunction-Associated Steatotic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2026
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110 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

17 authors at 3 institutions in 2 countries.

Lili NiuNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Philipp E GeyerNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Nicolai J Wewer AlbrechtsenNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-4230-5753
Lise L GluudDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Alberto SantosNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Sophia DollNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Peter V TreitDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Jens J HolstDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-6853-3805
Filip K KnopFaculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Tina VilsbøllDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Anders JunkerDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Stephan SachsHelmholtz Diabetes Center at Helmholtz Centre Munich & Division of Metabolic Diseases, Institute for Diabetes and Obesity, Technische Universität München, Munich, Germany.
Kerstin StemmerHelmholtz Diabetes Center at Helmholtz Centre Munich & Division of Metabolic Diseases, Institute for Diabetes and Obesity, Technische Universität München, Munich, Germany.
Timo D MüllerHelmholtz Diabetes Center at Helmholtz Centre Munich & Division of Metabolic Diseases, Institute for Diabetes and Obesity, Technische Universität München, Munich, Germany.
Matthias H TschöpHelmholtz Diabetes Center at Helmholtz Centre Munich & Division of Metabolic Diseases, Institute for Diabetes and Obesity, Technische Universität München, Munich, Germany.
Susanna M HofmannInstitute for Diabetes and Regeneration, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Matthias MannNovo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark mmann@biochem.mpg.de.ORCID 0000-0003-1292-4799
University of Copenhagen · DKHelmholtz Zentrum München · DEMax Planck Institute of Biochemistry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) affects 25% of the population and can progress to cirrhosis with limited treatment options. As the liver secretes most of the blood plasma proteins, liver disease may affect the plasma proteome. Plasma proteome profiling of 48 patients with and without cirrhosis or NAFLD revealed six statistically significantly changing proteins (ALDOB, APOM, LGALS3BP, PIGR, VTN, and AFM), two of which are already linked to liver disease. Polymeric immunoglobulin receptor (PIGR) was significantly elevated in both cohorts by 170% in NAFLD and 298% in cirrhosis and was further validated in mouse models. Furthermore, a global correlation map of clinical and proteomic data strongly associated DPP4, ANPEP, TGFBI, PIGR, and APOE with NAFLD and cirrhosis. The prominent diabetic drug target DPP4 is an aminopeptidase like ANPEP, ENPEP, and LAP3, all of which are up-regulated in the human or mouse data. Furthermore, ANPEP and TGFBI have potential roles in extracellular matrix remodeling in fibrosis. Thus, plasma proteome profiling can identify potential biomarkers and drug targets in liver disease.

Indexed as

ProteomeProteomicsAnimalsBiomarkersCohort StudiesFemaleGene Expression ProfilingHumansLiverLiver CirrhosisMaleMass SpectrometryMiceMice, Inbred C57BLMiddle AgedNon-alcoholic Fatty Liver DiseaseBiomarkersProteomebiomarker discoverymass spectrometryNAFLDNASHplasma proteome profiling

Identifiers

PMID30824564
PMCPMC6396370
OpenAlexW2919811956

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.