Evidence map›Paper›PMID 34569248›Full record

ArticleJournal of the American Heart Association2021

In Vivo Human Single-Chain Fragment Variable Phage Display-Assisted Identification of Galectin-3 as a New Biomarker of Atherosclerosis.

Audrey Hemadou, Alexandre Fontayne, Jeanny Laroche-Traineau, Florence Ottones, Philippe Mondon, Stéphane Claverol, Éric Ducasse, Stéphane Sanchez, Sarah Mohamad, Cyril Lorenzato and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Frontiers in microbiology · 2022
    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

13 authors at 4 institutions in 1 country.

Audrey HemadouCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Alexandre FontayneLFB (Laboratoire Français de Fractionnement et de Biotechnologies) Biotechnologies Lille France.
Jeanny Laroche-TraineauCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Florence OttonesCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Philippe MondonLFB (Laboratoire Français de Fractionnement et de Biotechnologies) Biotechnologies Lille France.
Stéphane ClaverolProtéome Pole CGFB (Centre de Génomique Fonctionnelle de Bordeaux) Bordeaux France.
Éric DucasseCHU Pellegrin Bordeaux France.
Stéphane SanchezCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Sarah MohamadCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Cyril LorenzatoCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Martine Duonor-CeruttiUPS3044CNRS (Centre National de Recherche Scientifique) Saint-Christol-Lès-Alès France.ORCID 0000-0002-8888-2639
Gisèle Clofent-SanchezCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.
Marie-Josée Jacobin-ValatCRMSB (Centre de Resonance Magnétique des Systèmes Biologiques)UMR5536 CNRS (Centre National de Recherche Scientifique)INSB (Institut National des Sciences Biologiques) Bordeaux France.ORCID 0000-0003-1583-7180
Centre National de la Recherche Scientifique · FRLFB (France) · FRHôpital Pellegrin · FRInstitut de Génomique Fonctionnelle · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Atherosclerosis is a complex pathology in which dysfunctional endothelium, activated leucocytes, macrophages, and lipid-laden foam cells are implicated, and in which plaque disruption is driven by many putative actors. This study aimed to identify accurate targetable biomarkers using new in vivo approaches to propose tools for improved diagnosis and treatment. Methods and Results Human scFv (single-chain fragment variable) selected by in vivo phage display in a rabbit model of atherosclerosis was reformatted as scFv fused to the scFv-Fc (single-chain fragment variable fused to the crystallizable fragment of immunoglobulin G format) antibodies. Their reactivity was tested using flow cytometry and immunoassays, and aorta sections from animal models and human carotid and coronary artery specimens. A pool of atherosclerotic proteins from human endarterectomies was co-immunoprecipitated with the selected scFv-Fc followed by mass spectrometry for target identification. Near-infrared fluorescence imaging was performed in

Indexed as

AtherosclerosisBacteriophagesPlaque, AtheroscleroticSingle-Chain AntibodiesAnimalsApolipoproteins EBiomarkersGalectin 3HumansMiceRabbitsApolipoproteins EBiomarkersGalectin 3Single-Chain Antibodiesbiomarkersflow cytometryhuman antibodiesimagingin vivo phage display

Identifiers

PMID34569248
PMCPMC8649142
OpenAlexW3203652347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.