Evidence map›Paper›PMID 42197544›Full record

ArticleMicroorganisms2026

Analytic and Diagnostic Validation of a Targeted Next-Generation Sequencing Panel for Common and Emerging Swine Respiratory Pathogens.

Nelly O Elshafie, Rebecca P Wilkes

Abstract read
In one paragraph

Article in Microorganisms, 2026. 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

2 authors.

Nelly O ElshafieWillie M. Reed Animal Disease Diagnostic Laboratory, Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-4726-8584
Rebecca P WilkesWillie M. Reed Animal Disease Diagnostic Laboratory, Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-4846-0439

Funding

Swine Health information Center 24-007
6 · The paper itself

Abstract

Respiratory disease remains one of the mostly costly challenges in the U.S. swine industry and is frequently associated with polymicrobial infections. Routine qPCR assays are highly sensitive but are limited in multiplexing capacity and generally do not provide sequencing information for pathogen characterization. We hypothesized that a target next-generation sequencing (tNGS) panel could provide the broad, simultaneous detection of swine respiratory pathogens while preserving clinically relevant sensitivity. A multiplex Ion Torrent tNGS panel was developed and analytically validated using 20 serially diluted qPCR-positive clinical samples and synthetic gBlock controls, followed by diagnostic validation with 25 qPCR positive and 25 qPCR negative respiratory samples. Most targets were detected across clinically relevant pathogens concentrations. Actinobacillus suis primers showed nonspecific amplification, streptococcus suis serotyping was not consistently achievable in clinical samples, and porcine reproductive and respiratory syndrome virus typing was limited to distinguishing North American and European genotypes. Diagnostic agreement with routine qPCR was high (Cohen's κ = 0.84), although sensitivity decreased for low-abundance targets. The assay detected mixed infections and additional organisms outside routine qPCR panels. These findings support tNGS as a complementary diagnostic and surveillance tool for swine respiratory disease.

Indexed as

Ion Torrentmultiplex diagnosticspathogen surveillanceswine respiratory diseasetargeted NGS

Identifiers

PMID42197544
PMCPMC13209278

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.