Evidence map›Paper›PMID 31834574›Full record

ArticleExperimental & applied acarology2020

Methods for extraction and ex-vivo experimentation with the most complex human commensal, Demodex spp.

Benjamin M Clanner-Engelshofen, Lars E French, Markus Reinholz

Abstract read
PubMed Publisher
In one paragraph

Article in Experimental & applied acarology, 2020. 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
0.6field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. Article
  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

3 authors at 1 institution in 1 country.

Benjamin M Clanner-EngelshofenDepartment of Dermatology and Allergy, University Hospital, Ludwig-Maximilian-University Munich, Frauenlobstr. 9-11, 80337, Munich, Germany.ORCID http://orcid.org/0000-0001-9863-3380
Lars E FrenchDepartment of Dermatology and Allergy, University Hospital, Ludwig-Maximilian-University Munich, Frauenlobstr. 9-11, 80337, Munich, Germany.ORCID http://orcid.org/0000-0002-4629-1486
Markus ReinholzDepartment of Dermatology and Allergy, University Hospital, Ludwig-Maximilian-University Munich, Frauenlobstr. 9-11, 80337, Munich, Germany. Markus.Reinholz@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-0465-3506
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demodex spp. mites are the most complex organisms of the human skin microbiome and were discovered more than 175 years ago, yet only little basic research is published about them. As they can be pathophysiologically relevant ectoparasites associated with rosacea, pityriasis folliculorum, and other inflammatory skin diseases, more research should be encouraged. Being a large microorganism or a tiny animal, there are no established basic methods to handle these mites. Here, we describe techniques enabling the extraction of Demodex mites from human skin, their analysis in different ex-vivo settings, the lysis of their exoskeleton, their preservation by freezing, and observation microscopically using specific fluorescent dyes or their inherent autofluorescence. These procedures should facilitate future Demodex research and fuel further the generation of knowledge. Furthermore it is intended to ultimatively enable the mite's cultivation in vitro and reveal its pathophysiological mechanisms.

Indexed as

MitesAnimalsHumansMite InfestationsRosaceaSkinSpecimen HandlingSymbiosisDemodicidaeDNA extractionFluorescence microscopyMiteViability

Identifiers

PMID31834574
OpenAlexW2996270553

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.