Evidence map›Paper›PMID 35654907›Full record

ArticleNature medicine2022

Noninvasive proteomic biomarkers for alcohol-related liver disease.

Lili Niu, Maja Thiele, Philipp E Geyer, Ditlev Nytoft Rasmussen, Henry Emanuel Webel, Alberto Santos, Rajat Gupta, Florian Meier, Maximilian Strauss, Maria Kjaergaard and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 2 pooled it
44.7field-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

165 citing papers in PubMed, 2 syntheses or guidelines pooled it, 304 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Distinct Plasma Proteomic Signatures Distinguish MASLD From Non-Steatotic Individuals but Not From MetALD.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  9. 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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  16. Observational
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105 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 4 countries.

Lili NiuNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4571-4368
Maja ThieleOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0003-1854-1924
Philipp E GeyerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Ditlev Nytoft RasmussenOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.
Henry Emanuel WebelNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Alberto SantosNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Rajat GuptaNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Florian MeierDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0003-4729-175X
Maximilian StraussNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-3320-6833
Maria KjaergaardOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0001-8452-1820
Katrine LindvigOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.
Suganya JacobsenOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.
Simon RasmussenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6323-9041
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8748-3831
Aleksander KragOdense Liver Research Centre, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0002-9598-4932
Matthias MannNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. mmann@biochem.mpg.de.ORCID http://orcid.org/0000-0003-1292-4799
University of Copenhagen · DKOdense University Hospital · DKCS Diagnostics · DEJena University Hospital · DEUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol-related liver disease (ALD) is a major cause of liver-related death worldwide, yet understanding of the three key pathological features of the disease-fibrosis, inflammation and steatosis-remains incomplete. Here, we present a paired liver-plasma proteomics approach to infer molecular pathophysiology and to explore the diagnostic and prognostic capability of plasma proteomics in 596 individuals (137 controls and 459 individuals with ALD), 360 of whom had biopsy-based histological assessment. We analyzed all plasma samples and 79 liver biopsies using a mass spectrometry (MS)-based proteomics workflow with short gradient times and an enhanced, data-independent acquisition scheme in only 3 weeks of measurement time. In plasma and liver biopsy tissues, metabolic functions were downregulated whereas fibrosis-associated signaling and immune responses were upregulated. Machine learning models identified proteomics biomarker panels that detected significant fibrosis (receiver operating characteristic-area under the curve (ROC-AUC), 0.92, accuracy, 0.82) and mild inflammation (ROC-AUC, 0.87, accuracy, 0.79) more accurately than existing clinical assays (DeLong's test, P < 0.05). These biomarker panels were found to be accurate in prediction of future liver-related events and all-cause mortality, with a Harrell's C-index of 0.90 and 0.79, respectively. An independent validation cohort reproduced the diagnostic model performance, laying the foundation for routine MS-based liver disease testing.

Indexed as

Liver DiseasesProteomicsBiomarkersBiopsyHumansInflammationLiverLiver CirrhosisBiomarkers

Identifiers

PMID35654907
PMCPMC9205783
OpenAlexW4281877108

What Socratic holds

Textmetadata
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 Socratic graph.