Evidence map›Paper›PMID 31735326›Full record

ArticleBiophysical journal2020

Aggregates Dramatically Alter Fibrin Ultrastructure.

Xabel García, Landry Seyve, Zera Tellier, Guillaume Chevreux, Nicolas Bihoreau, Benoît Polack, Francois Caton

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Thrombin kinetics determines robust plasma clot architecture.Research and practice in thrombosis and haemostasis · 2026
    Article
  2. Article
  3. Article
  4. Fibrin as a Versatile Fibrous Biopolymer.Sub-cellular biochemistry · 2026
    Review
  5. Article
  6. What is the diameter of a fibrin fiber?Research and practice in thrombosis and haemostasis · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors at 2 institutions in 1 country.

Xabel GarcíaUniversité Grenoble Alpes, Laboratoire Rhéologie et Procédés, UMR CNRS 5520, Grenoble, France.
Landry SeyveUniversité Grenoble Alpes, TIMC-TheREx, UMR CNRS 5525, Grenoble, France; Centre Hospitalier Universitaire Grenoble Alpes, Département d'Hématologie, Institut de Biologie et de Pathologie, Grenoble, France.
Zera TellierLaboratoire Français du Fractionnement et des Biotechnologies, Courtaboeuf, Les Ulis, France.
Guillaume ChevreuxLaboratoire Français du Fractionnement et des Biotechnologies, Courtaboeuf, Les Ulis, France.
Nicolas BihoreauLaboratoire Français du Fractionnement et des Biotechnologies, Courtaboeuf, Les Ulis, France.
Benoît PolackUniversité Grenoble Alpes, TIMC-TheREx, UMR CNRS 5525, Grenoble, France; Centre Hospitalier Universitaire Grenoble Alpes, Département d'Hématologie, Institut de Biologie et de Pathologie, Grenoble, France.
Francois CatonUniversité Grenoble Alpes, Laboratoire Rhéologie et Procédés, UMR CNRS 5520, Grenoble, France. Electronic address: francois.caton@univ-grenoble-alpes.fr.
Centre National de la Recherche Scientifique · FRLFB (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the many factors influencing fibrin formation and structure (concentration, temperature, composition, pH, etc.), it has been suggested that the polydispersity of fibrinogen may play an important role. We propose here a detailed investigation of the influence of this parameter on fibrin multiscale structure. Two commercial fibrinogen preparations were used, a monodisperse and a polydisperse one. First, the respective compositions of both fibrinogen preparations were thoroughly determined by measuring the fibrin-stabilizing factor; fibronectin; α, β, and γ intact chain contents; the γ/γ' chains ratio; the N-glycosylation; and the post-translational modifications. Slight variations between the composition of the two fibrinogen preparations were found that are much smaller than the compositional variations necessary to alter significantly fibrin multiscale structure as observed in the literature. Conversely, multiangle laser light scattering-coupled size exclusion chromatography and dynamic light scattering measurements showed that the polydisperse preparation contains significant amounts of aggregates, whereas the other preparation is essentially monodisperse. The multiscale structure of the fibrins produced from those two fibrinogen preparations was determined by using x-ray scattering, spectrophotometry, and confocal microscopy. Results show that fibers made from the aggregate-free fibrinogen present a crystalline longitudinal and lateral structure and form a mikado-like network. The network produced from the aggregates containing fibrinogen looks to be partly built around bright spots that are attributed to the aggregate. The multiscale structure of mixtures between the two preparations shows a smooth evolution, demonstrating that the quantity of aggregates is a major determining factor for fibrin multiscale structure. Indeed, the effect of a few percent in the mass of aggregates is larger than any other effect because of compositional differences under the same reaction conditions. Finally, we propose a mechanistic interpretation of our results, which points at a direct role of the aggregates during polymerization, which disrupts the ideal ordering of monomers inside fibrin protofibrils and fibers.

Indexed as

Protein AggregatesFibrinHumansMicroscopy, ConfocalModels, MolecularProtein ConformationFibrinProtein Aggregates

Identifiers

PMID31735326
PMCPMC6950636
OpenAlexW2983504725

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.