Evidence map›Paper›PMID 36828835›Full record

ArticleNature communications2023

Molecular imaging of liver inflammation using an anti-VCAM-1 nanobody.

Maxime Nachit, Christopher Montemagno, Romain Clerc, Mitra Ahmadi, François Briand, Sandrine Bacot, Nick Devoogdt, Cindy Serdjebi, Catherine Ghezzi, Thierry Sulpice and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Toward Proteomic Precision Medicine for Steatotic Liver Diseases.Journal of the American Heart Association · 2025
    Article
  6. Review
  7. Review
  8. Article
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.

Maxime Nachit *Laboratory of Hepato-Gastroenterology, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.
Christopher Montemagno *Univ. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.
Romain ClercUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.
Mitra AhmadiUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.
François BriandPhysiogenex, 31670, Labège, France.
Sandrine BacotUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.
Nick DevoogdtDepartment of Medical Imaging, Laboratory of in vivo Cellular and Molecular Imaging, Vrije Universiteit Brussel, Brussels, Belgium.
Cindy SerdjebiBiocellvia, Marseille, France.ORCID 0000-0002-7592-4668
Catherine GhezziUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.
Thierry SulpicePhysiogenex, 31670, Labège, France.
Alexis BroisatUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France. alexis.broisat@inserm.fr.
Isabelle A LeclercqLaboratory of Hepato-Gastroenterology, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.ORCID 0000-0001-7934-6693
Pascale PerretUniv. Grenoble Alpes, INSERM, LRB, 38000, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, a biopsy is mandatory to evaluate parenchymal inflammation in the liver. Here, we evaluated whether molecular imaging of vascular cell adhesion molecule-1 (VCAM-1) could be used as an alternative non-invasive tool to detect liver inflammation in the setting of chronic liver disease. To do so, we radiolabeled anti-VCAM-1 nanobody (

Indexed as

HepatitisNon-alcoholic Fatty Liver DiseaseAnimalsDiet, High-FatInflammationLiverMiceMice, Inbred C57BLMolecular ImagingVascular Cell Adhesion Molecule-1Vascular Cell Adhesion Molecule-1

Identifiers

PMID36828835
PMCPMC9957989

What OpenQuestion holds

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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.