Evidence map›Paper›PMID 30853883›Full record

ArticleFrontiers in neuroscience2019

Cell Type-Specific Human APP Transgene Expression by Hippocampal Interneurons in the Tg2576 Mouse Model of Alzheimer's Disease.

Corinna Höfling, Emira Shehabi, Peer-Hendrik Kuhn, Stefan F Lichtenthaler, Maike Hartlage-Rübsamen, Steffen Roßner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. 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
0.3field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Corinna HöflingPaul-Flechsig-Institute for Brain Research, Leipzig University, Leipzig, Germany.
Emira ShehabiPaul-Flechsig-Institute for Brain Research, Leipzig University, Leipzig, Germany.
Peer-Hendrik KuhnInstitute of Pathology, Technical University of Munich, Munich, Germany.
Stefan F LichtenthalerDeutsches Zentrum für Neurodegenerative Erkrankungen, Munich, Germany.
Maike Hartlage-RübsamenPaul-Flechsig-Institute for Brain Research, Leipzig University, Leipzig, Germany.
Steffen RoßnerPaul-Flechsig-Institute for Brain Research, Leipzig University, Leipzig, Germany.
Leipzig University · DEMunich Cluster for Systems Neurology · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid precursor protein (APP) transgenic animal models of Alzheimer's disease have become versatile tools for basic and translational research. However, there is great heterogeneity of histological, biochemical, and functional data between transgenic mouse lines, which might be due to different transgene expression patterns. Here, the expression of human APP (hAPP) by GABAergic hippocampal interneurons immunoreactive for the calcium binding proteins parvalbumin, calbindin, calretinin, and for the peptide hormone somatostatin was analyzed in Tg2576 mice by double immunofluorescent microscopy. Overall, there was no GABAergic interneuron subpopulation that did not express the transgene. On the other hand, in no case all neurons of such a subpopulation expressed hAPP. In dentate gyrus molecular layer and in stratum lacunosum moleculare less than 10% of hAPP-positive interneurons co-express any of these interneuron markers, whereas in

Indexed as

Alzheimer’s diseaseamyloid precursor proteinanimal modelcalcium-binding proteinshippocampusinterneuron

Identifiers

PMID30853883
PMCPMC6395433
OpenAlexW2915449423

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.