Evidence map›Paper›PMID 38679739›Full record

ArticleBiomarker research2024

Plasma ALS and Gal-3BP differentiate early from advanced liver fibrosis in MASLD patients.

David Pérez Compte, Lucas Etourneau, Anne-Marie Hesse, Alexandra Kraut, Justine Barthelon, Nathalie Sturm, Hélène Borges, Salomé Biennier, Marie Courçon, Marc de Saint Loup and 9 more

Abstract read
In one paragraph

Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

19 authors.

David Pérez CompteUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Lucas EtourneauUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Anne-Marie HesseUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Alexandra KrautUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Justine BarthelonUniversité Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France.
Nathalie SturmUniversité Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France.
Hélène BorgesUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Salomé BiennierUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Marie CourçonUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Marc de Saint LoupHepato-Gastroenterology Department, University Hospital, Angers, France.
Victoria MignotUniversité Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France.
Charlotte CostentinUniversité Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France.
Thomas BurgerUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Yohann CoutéUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Christophe BruleyUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France.
Thomas DecaensUniversité Grenoble Alpes, Clinique Universitaire d'Hépato-Gastroentérologie, CHU Grenoble Alpes, 38000, Grenoble, France.
Michel JaquinodUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France. michel.jaquinod@cea.fr.
Jérôme BoursierHepato-Gastroenterology Department, University Hospital, Angers, France.
Virginie BrunUniv. Grenoble Alpes, INSERM, CEA, UA13 BGE, CNRS, FR2048 ProFI, EDyP team, 17 Avenue des Martyrs, 38000, Grenoble, France. virginie.brun@cea.fr.

Funding

Chemistry Biology Health (CBH) Graduate School at University Grenoble Alpes [ANR-17-EURE-0003]LIFE project [ANR-15-IDEX-02]MIAI @ Grenoble Alpes [ANR-19-P3IA-0003]ProFI project [ANR-10-INBS-08]
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is estimated to affect 30% of the world's population, and its prevalence is increasing in line with obesity. Liver fibrosis is closely related to mortality, making it the most important clinical parameter for MASLD. It is currently assessed by liver biopsy - an invasive procedure that has some limitations. There is thus an urgent need for a reliable non-invasive means to diagnose earlier MASLD stages.

methodsA discovery study was performed on 158 plasma samples from histologically-characterised MASLD patients using mass spectrometry (MS)-based quantitative proteomics. Differentially abundant proteins were selected for verification by ELISA in the same cohort. They were subsequently validated in an independent MASLD cohort (n = 200).

resultsFrom the 72 proteins differentially abundant between patients with early (F0-2) and advanced fibrosis (F3-4), we selected Insulin-like growth factor-binding protein complex acid labile subunit (ALS) and Galectin-3-binding protein (Gal-3BP) for further study. In our validation cohort, AUROCs with 95% CIs of 0.744 [0.673 - 0.816] and 0.735 [0.661 - 0.81] were obtained for ALS and Gal-3BP, respectively. Combining ALS and Gal-3BP improved the assessment of advanced liver fibrosis, giving an AUROC of 0.796 [0.731. 0.862]. The {ALS; Gal-3BP} model surpassed classic fibrosis panels in predicting advanced liver fibrosis.

conclusionsFurther investigations with complementary cohorts will be needed to confirm the usefulness of ALS and Gal-3BP individually and in combination with other biomarkers for diagnosis of liver fibrosis. With the availability of ELISA assays, these findings could be rapidly clinically translated, providing direct benefits for patients.

Indexed as

BiomarkerFibrosisLiverMASLDProteomics

Identifiers

PMID38679739
PMCPMC11057169

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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.