Evidence map›Paper›PMID 16315087›Full record

ReviewTransgenic research2005

Studying human pathogens in animal models: fine tuning the humanized mouse.

Caroline Lassnig, Andreas Kolb, Birgit Strobl, Luis Enjuanes, Mathias Müller

Open access · bronzeAbstract readReview
In one paragraph

Review in Transgenic research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Human coronaviruses 229E and NL63: close yet still so far.Journal of the Formosan Medical Association = Taiwan yi zhi · 2009
    Review
  6. Review
  7. Article
  8. 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

5 authors at 3 institutions in 3 countries.

Caroline LassnigDepartment of Agrobiotechnology, IFA-Tulln, Institute of Biotechnology in Animal Production, University of Natural Resources and Applied Life Sciences, Austria.
Andreas Kolb
Birgit Strobl
Luis Enjuanes
Mathias Müller
University of Veterinary Medicine Vienna · ATConsejo Superior de Investigaciones Científicas · ESHannah Research Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanized mice are crucial tools for studying human pathogens in systemic situations. An animal model of human coronavirus infectious disease has been generated by gene transfer of the human receptor for virus-cell interaction (aminopeptidase N, APN, CD13) into mice. We showed that in vitro and in vivo infections across the species barrier differ in their requirements. Transgenic cells were susceptible to human coronavirus HCoV-229E infection demonstrating the requirement of hAPN for viral cell entry. Transgenic mice, however, could not be infected suggesting additional requirements for in vivo virus susceptibility. Crossing hAPN transgenic mice with interferon unresponsive Stat1(-/- )mice resulted in markedly enhanced virus replication in vitro but did not result in detectable virus replication in vivo. Adaptation of the human virus to murine cells led to successful infection of the humanized transgenic mice. Future genetic engineering approaches are suggested to provide animal models for the better understanding of human infectious diseases.

Indexed as

Disease Models, AnimalAnimalsCD13 AntigensCoronavirus 229E, HumanCoronavirus InfectionsDisease SusceptibilityHumansMiceMice, TransgenicReceptors, VirusTransgenesVirus ReplicationCD13 AntigensReceptors, Virus

Identifiers

PMID16315087
PMCPMC7088949
OpenAlexW2091894709

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.