Evidence map›Paper›PMID 28905193›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2017

Siglec-8 as mast cell selective target: developing paradigms amidst inconvenient truths.

Gerhard J Molderings

Abstract read
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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Gerhard J MolderingsInstitute of Human Genetics, University Hospital of Bonn, Sigmund-Freud-Strasse 25, 53127, Bonn, Germany. molderings@uni-bonn.de.
University Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the limited efficacy of current drugs in treating systemic mast cell activation disease, there is an urgent need for more effective drugs selectively acting at mast cells. In the past, a large number of compounds have been claimed to be effective and mast cell selective on the basis of cell culture experiments and studies on blood leukocytes which could not be verified in organ and animal studies. Nevertheless, over time in review papers about potential mast cell targets mast cell selectivity of these targets has been no longer challenged. A recent example for such developing paradigms amidst inconvenient truths is the hype on the purported selective expression of the putative adhesion molecule sialic acid binding Ig-like lectin 8 (Siglec-8) in mast cells and eosinophils, although current data from different publically available databases/sources clearly demonstrate a widespread expression of Siglec-8 in the cells of most tissues. Two suggestions are presented: (1) In the specific case of Siglec-8, the limited mast cell selectivity should be kept in mind in the development and surveillance of Siglec-8-based mast cell- and eosinophil-targeted therapeutic strategies because of potential severe adverse effects in the Siglec-8-positive tissues. (2) In general, readers should always challenge reports about the selective expression of potential targets for drugs in a few cell types of the organism, even if they are published in highly renown journals.

Indexed as

Antigens, CDAntigens, Differentiation, B-LymphocyteEosinophilsHumansLectinsMast CellsAntigens, CDAntigens, Differentiation, B-LymphocyteLectinsSIGLEC8 protein, humanMast cell activation diseaseMast cell selectivityMastocytosisSiglec-8Therapy

Identifiers

PMID28905193
OpenAlexW2755274070

What OpenQuestion holds

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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.