Evidence map›Paper›PMID 23775444›Full record

ArticlePharmaceutical research2013

Development of a transgenic mouse model with immune tolerance for human coagulation factor VIIa.

Christine Lenk, Sabine Unterthurner, Maria Schuster, Markus Weiller, Gerhard Antoine, Mantas Malisauskas, Friedrich Scheiflinger, Hans-Peter Schwarz, Maurus de la Rosa, Birgit M Reipert

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Immunogenicity of Protein Pharmaceuticals.Journal of pharmaceutical sciences · 2019
    Review
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

10 authors at 1 institution in 1 country.

Christine LenkBaxter BioScience, Industriestrasse 67, 1220, Vienna, Austria.
Sabine Unterthurner
Maria Schuster
Markus Weiller
Gerhard Antoine
Mantas Malisauskas
Friedrich Scheiflinger
Hans-Peter Schwarz
Maurus de la Rosa
Birgit M Reipert
Baxter (Austria) · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHuman factor VIIa (FVIIa) is commonly used as bypassing therapy to treat bleeding episodes in hemophilia patients with neutralizing antibodies to factors VIII (FVIII) or IX (FIX). There is a need for a suitable animal model to assess the immunogenicity of new FVIIa products during preclinical development. The aim of this study was the design of a novel transgenic mouse model with immune tolerance to human FVIIa.

methodsThe model was generated by transgenic expression of human F7 cDNA. FVIIa-specific immune responses after treatment with human FVIIa were assessed by analyzing circulating antibodies, antibody producing plasma cells and CD4(+) T cells.

resultsIn contrast to wild-type mice, human FVII transgenic mice did not develop antibodies when treated with human FVIIa. The immune tolerance was specific and could be broken by application of human FVIIa together with a strong stimulus of the innate immune system. Break of tolerance was associated with increased numbers of pro-inflammatory FVIIa-specific CD4(+) T cells.

conclusionsThe new mouse model is suitable to study the influence of the innate immune system on maintenance and break of immune tolerance against FVIIa and could be used to assess the immunogenicity of new FVIIa products during pre-clinical development.

Indexed as

Immune ToleranceTransgenesAnimalsCD8-Positive T-LymphocytesDNA, ComplementaryFactor VIIaFemaleHumansImmunity, InnateImmunoglobulin GMaleMiceMice, Inbred C57BLMice, TransgenicModels, AnimalDNA, ComplementaryFactor VIIaImmunoglobulin G

Identifiers

PMID23775444
OpenAlexW2158944760

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.