Evidence map›Paper›PMID 38851530›Full record

ArticleMathematical biosciences2024

Modeling the distribution of enzymes on lipid vesicles: A novel framework for surface-mediated reactions in coagulation.

Jamie Madrigal, Dougald M Monroe, Suzanne S Sindi, Karin Leiderman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Mathematical biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. NXT007 enhancesResearch and practice in thrombosis and haemostasis · 2025
    Article
  3. 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

4 authors.

Jamie MadrigalMathematics Department, University of North Carolina at Chapel Hill, Chapel Hill, 27599-3250, NC, USA.
Dougald M MonroeDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Suzanne S SindiMathematics Department, University of California Merced, Merced, CA, USA.
Karin LeidermanMathematics Department, University of North Carolina at Chapel Hill, Chapel Hill, 27599-3250, NC, USA; UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: karin.leiderman@unc.edu.

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 network of biochemical reactions wherein dozens of proteins act collectively to initiate a rapid clotting response. Coagulation reactions are lipid-surface dependent, and this dependence is thought to help localize coagulation to the site of injury and enhance the association between reactants. Current mathematical models of coagulation either do not consider lipid as a variable or do not agree with experiments where lipid concentrations were varied. Since there is no analytic rate law that depends on lipid, only apparent rate constants can be derived from enzyme kinetic experiments. We developed a new mathematical framework for modeling enzymes reactions in the presence of lipid vesicles. Here the concentrations are such that only a fraction of the vesicles harbor bound enzymes and the rest remain empty. We call the lipid vesicles with and without enzyme TF:VIIa

Indexed as

Blood CoagulationFactor VIIaHumansKineticsLipidsModels, BiologicalThromboplastinFactor VIIaLipidsThromboplastinBlood coagulationEnzyme kineticsLipid vesiclesMathematical modelingProduct inhibition

Identifiers

PMID38851530
PMCPMC11250983

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.