Evidence map›Paper›PMID 40680939›Full record

ArticleJournal of thrombosis and haemostasis : JTH2025

Mathematical analysis of emicizumab: affinity-driven complex formation and lipid-surface reactions.

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

Abstract read
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. βCurrent opinion in immunology · 2026
    Review
  2. NXT007 enhancesResearch and practice in thrombosis and haemostasis · 2025
    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, North Carolina, USA.
Dougald M MonroeDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Suzanne S SindiDepartment of Applied Mathematics, University of California Merced, Merced, California, USA.
Karin LeidermanMathematics Department, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 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
NHLBI NIH HHS R01 HL151984
6 · The paper itself

Abstract

backgroundEmicizumab is a bispecific antibody that binds activated factor (F)IXa with 1-arm and FX with the other. Binding bridges FIXa and FX, replacing the function of FVIII in hemophilia A. Unlike FVIII, emicizumab does not bind directly to lipid surfaces.

objectivesThis study aimed to investigate emicizumab's lipid-surface dependent mechanisms through mathematical modeling and biochemical assays.

methodsWe expanded our mathematical model of tissue factor (TF):VIIa activation of FX to incorporate emicizumab and FIXa interactions. We calibrated our model using experimental data.

resultsHigh concentrations of emicizumab inhibit FX activation by TF:VIIa. Our mathematical model explains these observations only when FX bound to emicizumab is partially restricted from binding to lipid surfaces and to TF:VIIa. Lipid enhances FX activation of FIXa in the presence of emicizumab. In our 2-arm interaction model, we estimated kinetic rates for emicizumab-dependent activation of FX on the lipid surface. The model successfully predicted FIXa activation of FX with and without emicizumab across many experimental conditions. Ternary complexes (FIXa, FX, and emicizumab) in solution decreased when lipid increased while ternary complexes on lipid increased. Sensitivity analysis, which varied lipid, dissociation constants, and catalytic rates, highlighted the impact of binding-arm affinity on reaction velocities.

conclusionHigh concentrations of emicizumab decrease TF:VIIa activation of FX by reducing FX binding to both the lipid surface and TF:VIIa. Emicizumab enhances FIXa activation of FX on the lipid surface by preferentially binding to lipid-bound FX and subsequently to lipid-bound FIXa with an enhanced association rate due to colocalization on the lipid surface.

Indexed as

Antibodies, BispecificAntibodies, Monoclonal, HumanizedLipidsFactor IXaFactor VIIaHumansKineticsProtein BindingThromboplastinAntibodies, BispecificAntibodies, Monoclonal, HumanizedemicizumabFactor IXaFactor VIIaLipidsThromboplastinbispecific antibodyemicizumabhemophilia Amathematical modeling

Identifiers

PMID40680939
PMCPMC12477644

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.