Evidence map›Paper›PMID 29276754›Full record

ArticleCellular and molecular gastroenterology and hepatology2018

Uncovering a Predictive Molecular Signature for the Onset of NASH-Related Fibrosis in a Translational NASH Mouse Model.

Arianne van Koppen, Lars Verschuren, Anita M van den Hoek, Joanne Verheij, Martine C Morrison, Kelvin Li, Hiroshi Nagabukuro, Adalberto Costessi, Martien P M Caspers, Tim J van den Broek and 11 more

Abstract read
In one paragraph

Article in Cellular and molecular gastroenterology and hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Review
  2. Article
  3. Prognostic Value of the TLM3 Biomarker Panel for Early Fibrosis Development in MASLD Within the General Population.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  4. Fibrogenic Gene Signature as Early Prediction for the Efficacy of Pharmacological Interventions for MASH-Associated Fibrosis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  5. Review
  6. Therapeutic effects of FGF21 mimetic bFKB1 on MASH and atherosclerosis in Ldlr-/-.Leiden mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
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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

21 authors.

Arianne van KoppenDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.
Lars VerschurenDepartment of Microbiology and Systems Biology, TNO, Zeist, The Netherlands.
Anita M van den HoekDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.
Joanne VerheijDepartment of Pathology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Martine C MorrisonDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.
Kelvin LiKinemed, Inc, Emeryville, California.
Hiroshi NagabukuroTakeda Pharmaceutical Company, Kanagawa, Japan.
Adalberto CostessiBaseClear B.V., Leiden, The Netherlands.
Martien P M CaspersDepartment of Microbiology and Systems Biology, TNO, Zeist, The Netherlands.
Tim J van den BroekDepartment of Microbiology and Systems Biology, TNO, Zeist, The Netherlands.
John SagartzSeventh Wave, Maryland Heights, Missouri.
Cornelis KluftGood Biomarker Sciences B.V., Leiden, The Netherlands.
Carine BeysenKinemed, Inc, Emeryville, California.
Claire EmsonKinemed, Inc, Emeryville, California.
Alain J van GoolDepartment of Microbiology and Systems Biology, TNO, Zeist, The Netherlands.
Roel GoldschmedingUniversity Medical Center Utrecht, Utrecht, The Netherlands.
Reinout StoopDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.
Ivana Bobeldijk-PastorovaDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.
Scott M TurnerKinemed, Inc, Emeryville, California.
Guido HanauerTakeda Pharmaceutical Company, Kanagawa, Japan.
Roeland HanemaaijerDepartment of Metabolic Health Research, TNO, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsThe incidence of nonalcoholic steatohepatitis (NASH) is increasing. The pathophysiological mechanisms of NASH and the sequence of events leading to hepatic fibrosis are incompletely understood. The aim of this study was to gain insight into the dynamics of key molecular processes involved in NASH and to rank early markers for hepatic fibrosis.

methodsA time-course study in low-density lipoprotein-receptor knockout. Leiden mice on a high-fat diet was performed to identify the temporal dynamics of key processes contributing to NASH and fibrosis. An integrative systems biology approach was used to elucidate candidate markers linked to the active fibrosis process by combining transcriptomics, dynamic proteomics, and histopathology. The translational value of these findings were confirmed using human NASH data sets.

resultsHigh-fat-diet feeding resulted in obesity, hyperlipidemia, insulin resistance, and NASH with fibrosis in a time-dependent manner. Temporal dynamics of key molecular processes involved in the development of NASH were identified, including lipid metabolism, inflammation, oxidative stress, and fibrosis. A data-integrative approach enabled identification of the active fibrotic process preceding histopathologic detection using a novel molecular fibrosis signature. Human studies were used to identify overlap of genes and processes and to perform a network biology-based prioritization to rank top candidate markers representing the early manifestation of fibrosis.

conclusionsAn early predictive molecular signature was identified that marked the active profibrotic process before histopathologic fibrosis becomes manifest. Early detection of the onset of NASH and fibrosis enables identification of novel blood-based biomarkers to stratify patients at risk, development of new therapeutics, and help shorten (pre)clinical experimental time frames.

Indexed as

ALT, alanine aminotransferaseAST, aspartate aminotransferaseDEG, differentially expressed genesDiagnosisECM, extracellular matrixHFD, high-fat dietIPA, Ingenuity Pathway AnalysisLDLr-/-, low-density lipoprotein receptor knock outLiver DiseaseMetabolic SyndromeNAFLD, nonalcoholic fatty liver diseaseNASH, nonalcoholic steatohepatitisSystems BiologyTHBS1, thrombospontin-1

Identifiers

PMID29276754
PMCPMC5738456

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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.