Evidence map›Paper›PMID 36325617›Full record

ArticleBiophysical journal2023

Inhibition of platelet-surface-bound proteins during coagulation under flow II: Antithrombin and heparin.

Kenji Miyazawa, Aaron L Fogelson, Karin Leiderman

Open access · hybridAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  7. 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
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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. Antithrombin (AT) is one such inhibitor that impedes coagulation by targeting and inactivating several key coagulation enzymes. The effect of AT is greatly enhanced in the presence of heparin, a common anticoagulant drug. When heparin binds to AT, it either bridges with the target enzyme or induces allosteric changes in AT leading to more favorable binding with the target enzyme. AT inhibition of fluid-phase enzymes caused little suppression of thrombin generation in our previous mathematical models of blood coagulation under flow. This is because in that model, flow itself was a greater inhibitor of the fluid-phase enzymes than AT. From clinical observations, it is clear that AT and heparin should have strong inhibitory effects on thrombin generation, and thus we hypothesized that AT could be inhibiting enzymes bound to activated platelet surfaces that are not subject to being washed away by flow. We extended our mathematical model to include the relevant reactions of AT inhibition at the activated platelet surfaces as well as those for unfractionated heparin and a low molecular weight heparin. Our results show that AT alone is only an effective inhibitor at low tissue factor densities, but in the presence of heparin, it can greatly alter, and in some cases shut down, thrombin generation. Additionally, we studied each target enzyme separately and found that inactivation of no single enzyme could substantially suppress thrombin generation.

Indexed as

AntithrombinsHeparinAnticoagulantsAntithrombin IIIBlood CoagulationThrombinAnticoagulantsAntithrombin IIIAntithrombinsHeparinThrombin

Identifiers

PMID36325617
PMCPMC9822793
OpenAlexW4308039949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.