Evidence map›Paper›PMID 36403087›Full record

ArticleBiophysical journal2023

Inhibition of platelet-surface-bound proteins during coagulation under flow I: TFPI.

Kenji Miyazawa, Aaron L Fogelson, Karin Leiderman

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2023. 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
1.8field-weighted citation impact, top 13% 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, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Studying the Effects of Oral Contraceptives on Coagulation Using a Mathematical Modeling Approach.Mathematical modeling for women's health : Collaborative Workshop for Women in Mathematical Biolog. Collaborative Workshop for Women in Mathematical Biology (2022) · 2024
    Article
  9. Review
  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

3 authors at 3 institutions in 1 country.

Kenji MiyazawaQuantitative Biosciences and Engineering, Colorado School of Mines, Golden, Colorado.
Aaron L FogelsonDepartment of Mathematics, University of Utah, Salt Lake City, Utah; Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah.
Karin LeidermanMathematics Department, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Electronic address: karin.leiderman@unc.edu.
Colorado School of Mines · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · US

Funding

An integrated computational and experimental approach to understanding the hemostatic response during treatment of bleedingR01HL151984 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, LEIDERMAN, KARIN · 2020 to 2023
$2.8M
A Systems Biology Approach to Predicting Bleeding in HemophiliaR01HL120728 · NHLBI · COLORADO SCHOOL OF MINES · PI DI PAOLA, JORGE A, FOGELSON, AARON L · 2014 to 2018
$2.7M
NHLBI NIH HHS R01 HL120728NHLBI NIH HHS R01 HL151984
6 · The paper itself

Abstract

Blood coagulation is a self-repair process regulated by activated platelet surfaces, clotting factors, and inhibitors. Tissue factor pathway inhibitor (TFPI) is one such inhibitor, well known for its inhibitory action on the active enzyme complex comprising tissue factor (TF) and activated clotting factor VII. This complex forms when TF embedded in the blood vessel wall is exposed by injury and initiates coagulation. A different role for TFPI, independent of TF:VIIa, has recently been discovered whereby TFPI binds a partially cleaved form of clotting factor V (FV-h) and impedes thrombin generation on activated platelet surfaces. We hypothesized that this TF-independent inhibitory mechanism on platelet surfaces would be a more effective platform for TFPI than the TF-dependent one. We examined the effects of this mechanism on thrombin generation by including the relevant biochemical reactions into our previously validated mathematical model. Additionally, we included the ability of TFPI to bind directly to and inhibit platelet-bound FXa. The new model was sensitive to TFPI levels and, under some conditions, TFPI could completely shut down thrombin generation. This sensitivity was due entirely to the surface-mediated inhibitory reactions. The addition of the new TFPI reactions increased the threshold level of TF needed to elicit a strong thrombin response under flow, but the concentration of thrombin achieved, if there was a response, was unchanged. Interestingly, we found that direct binding of TFPI to platelet-bound FXa had a greater anticoagulant effect than did TFPI binding to FV-h alone, but that the greatest effects occurred if both reactions were at play. The model includes activated platelets' release of FV species, and we explored the impact of varying the FV/FV-h composition of the releasate. We found that reducing the zymogen FV fraction of this pool, and thus increasing the fraction that is FV-h, led to acceleration of thrombin generation.

Indexed as

Blood PlateletsThrombinBlood CoagulationFactor VFactor VIIaLipoproteinsThromboplastinFactor VFactor VIIalipoprotein-associated coagulation inhibitorLipoproteinsThrombinThromboplastin

Identifiers

PMID36403087
PMCPMC9822800
OpenAlexW4309437664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.