Evidence map›Paper›PMID 35139862›Full record

ArticleActa veterinaria Scandinavica2022

Assessment of three DNA extraction kits for the absolute quantification of strongyle nematode eggs in faecal samples.

Niclas Högberg, Paulius Baltrušis, Nizar Enweji, Johan Höglund

Abstract read
In one paragraph

Article in Acta veterinaria Scandinavica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

4 authors.

Niclas HögbergParasitology Unit, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7036, 750 07, Uppsala, Sweden. Niclas.Hogberg@slu.se.ORCID http://orcid.org/0000-0002-2672-7924
Paulius BaltrušisParasitology Unit, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7036, 750 07, Uppsala, Sweden.
Nizar EnwejiParasitology Unit, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7036, 750 07, Uppsala, Sweden.
Johan HöglundParasitology Unit, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7036, 750 07, Uppsala, Sweden.

Funding

Stiftelsen Lantbruksforskning O-16-20-742Svenska Forskningsrådet Formas 2016-1744
6 · The paper itself

Abstract

backgroundHaemonchus contortus is one of the most pathogenic gastrointestinal nematodes of small ruminants. The current diagnostic approach for the detection of this species relies on coproscopic methods, which both have low sensitivity and are time consuming. Methods employing detection through DNA amplification, such as droplet digital polymerase chain reaction (ddPCR), offer an advantageous approach to the diagnosis of H. contortus. However, DNA extraction protocols need to be constantly updated for the optimal retrieval of diagnostically usable template. Here, we describe the evaluation of three genomic DNA extraction kits for the detection and quantification of H. contortus ITS2 amplicon DNA from faecal samples, using droplet digital PCR.

resultsDNA samples, extracted from faecal material with the Nucleospin DNA Stool kit, produced the highest amounts of ITS2 amplicon copies and had the lowest coefficient of variation across different dilutions and sample types (fresh or frozen) out of the tested kits (Nucleospin DNA Stool, E.Z.N.A.

conclusionsThe Nucleospin DNA Stool kit is an attractive option for the detection and quantification of H. contortus DNA in faecal samples of small ruminants in a diagnostic setting.

Indexed as

HaemonchusAnimalsFecesGastrointestinal TractParasite Egg CountPolymerase Chain ReactionRuminantsDiagnosticsDNA isolationHaemonchusNematode eggsParasitePCRSheep

Identifiers

PMID35139862
PMCPMC8826664

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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.