Evidence map›Paper›PMID 41350340›Full record

ArticleScientific reports2025

Real-time imaging on a microwell device allows first insights into the embryonic development of the ubiquitous and notorious scabies parasite.

Gangi R Samarawickrama, Deepani D Fernando, Tam Hong Nguyen, Satomi Okano, Gunter Hartel, Malcolm K Jones, Katja Fischer

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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.

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

7 authors.

Gangi R SamarawickramaInfection and Inflammation Program, QIMR Berghofer, Herston, Brisbane, Australia.
Deepani D FernandoInfection and Inflammation Program, QIMR Berghofer, Herston, Brisbane, Australia.
Tam Hong NguyenMicroscopy and Spatial Cell Biology Facility, QIMR Berghofer, Herston, Brisbane, Australia.
Satomi OkanoStatistics Unit, QIMR Berghofer, Herston, Brisbane, Australia.
Gunter HartelStatistics Unit, QIMR Berghofer, Herston, Brisbane, Australia.
Malcolm K JonesInfection and Inflammation Program, QIMR Berghofer, Herston, Brisbane, Australia.
Katja FischerInfection and Inflammation Program, QIMR Berghofer, Herston, Brisbane, Australia. katja.fischer@qimrb.edu.au.

Funding

National Health and Medical Research Council (NHMRC) of Australia 1154805
6 · The paper itself

Abstract

Scabies is a common and highly contagious skin disease, caused by obligate parasitic burrowing mites (Sarcoptes scabiei). Current drugs have a short skin half-life and are ineffective against the egg stages of the parasite. Novel scabicides are needed that target eggs as well as motile mites, therefore understanding the egg structure and embryogenesis is crucial in developing ovicidal drugs. However, the embryogenesis of mites and specifically of S. scabiei is not well understood. To address this, we utilized a unique porcine scabies model, representing a nearly unlimited source of parasites that allowed us perform a descriptive embryonic development study. We designed and custom-fabricated a medium-throughput microwell device to confine individual S. scabiei eggs for automated microscopic observation over time. Using time-lapse microscopy, we recorded the development of 40 individual eggs, generating the first comprehensive timeline of S. scabiei embryogenesis and revealing distinct morphological stages and developmental dynamics.

Indexed as

Embryonic DevelopmentSarcoptes scabieiScabiesAnimalsOvumSwineTime-Lapse ImagingEgg and embryogenesisParasitic miteSarcoptes scabieiScabies

Identifiers

PMID41350340
PMCPMC12774891

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.