Evidence map›Paper›PMID 34508238›Full record

ReviewNature reviews. Gastroenterology & hepatology2021

Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests.

Mojgan Masoodi, Amalia Gastaldelli, Tuulia Hyötyläinen, Enara Arretxe, Cristina Alonso, Melania Gaggini, Julia Brosnan, Quentin M Anstee, Oscar Millet, Pablo Ortiz and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed, 4 pooled it
48.2field-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

240 citing papers in PubMed, 4 syntheses or guidelines pooled it, 423 citations in OpenAlex.

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  10. 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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180 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

13 authors at 9 institutions in 7 countries.

Mojgan MasoodiInstitute of Clinical Chemistry, Bern University Hospital, Bern, Switzerland. Mojgan.Masoodi@insel.ch.ORCID http://orcid.org/0000-0001-9840-1731
Amalia GastaldelliInstitute of Clinical Physiology, CNR, Pisa, Italy.ORCID http://orcid.org/0000-0003-2594-1651
Tuulia HyötyläinenSchool of Natural Sciences and Technology, Örebro University, Örebro, Sweden.
Enara ArretxeOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Cristina AlonsoOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.ORCID http://orcid.org/0000-0002-2019-678X
Melania GagginiInstitute of Clinical Physiology, CNR, Pisa, Italy.
Julia BrosnanPfizer Inc., Cambridge, MA, USA.
Quentin M AnsteeClinical & Translational Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-9518-0088
Oscar MilletPrecision Medicine & Metabolism, CIC bioGUNE, CIBERehd, BRTA, Bizkaia Technology Park, Derio, Spain.
Pablo OrtizOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.ORCID http://orcid.org/0000-0002-2698-8470
Jose M MatoPrecision Medicine & Metabolism, CIC bioGUNE, CIBERehd, BRTA, Bizkaia Technology Park, Derio, Spain.ORCID http://orcid.org/0000-0003-1264-3153
Jean-Francois DufourUniversity Clinic of Visceral Surgery and Medicine, Inselspital Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-8062-1346
Matej OrešičSchool of Medical Sciences, Örebro University, Örebro, Sweden. Matej.Oresic@oru.se.
Euskadiko Parke Teknologikoa · ESCIC bioGUNE · ESIstituto di Fisiologia Clinica · ITÅbo Akademi University · FINewcastle University · GBÖrebro University · SEPfizer (United States) · USUniversity Hospital of Bern · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is one of the most common liver diseases worldwide and is often associated with aspects of metabolic syndrome. Despite its prevalence and the importance of early diagnosis, there is a lack of robustly validated biomarkers for diagnosis, prognosis and monitoring of disease progression in response to a given treatment. In this Review, we provide an overview of the contribution of metabolomics and lipidomics in clinical studies to identify biomarkers associated with NAFLD and nonalcoholic steatohepatitis (NASH). In addition, we highlight the key metabolic pathways in NAFLD and NASH that have been identified by metabolomics and lipidomics approaches and could potentially be used as biomarkers for non-invasive diagnostic tests. Overall, the studies demonstrated alterations in amino acid metabolism and several aspects of lipid metabolism including circulating fatty acids, triglycerides, phospholipids and bile acids. Although we report several studies that identified potential biomarkers, few have been validated.

Indexed as

Lipid MetabolismLipidomicsMetabolomicsAmino AcidsBile Acids and SaltsBiomarkersDisease ProgressionGlutamic AcidGlutathioneHumansInsulin ResistanceNon-alcoholic Fatty Liver DiseasePrognosisAmino AcidsBile Acids and SaltsBiomarkersGlutamic AcidGlutathione

Identifiers

PMID34508238
OpenAlexW3197814387

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.