Evidence map›Paper›PMID 42258002›Full record

ArticleFood and environmental virology2026

Development of Fit-for-Purpose, High Quality Proficiency Samples for Interlaboratory Evaluation of RT-PCR Detection of HPAI H5N1 in Milk.

Emily L Smith, Yuhan Jin, Megan R Miller, Kirstin Frost, Jodie Ulaszek, Sarah M Nemser, Laura B Goodman, Steffen Uhlig, Anja Schlierf, Karina Hettwer and 5 more

Abstract readEvaluation Study
In one paragraph

Article in Food and environmental virology, 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

15 authors.

Emily L SmithHuman Foods Program, U.S. Food and Drug Administration, 6502 South Archer Road, Bedford Park, IL, 60501, USA. Emily.Smith@fda.hhs.gov.
Yuhan JinInstitute for Food Safety and Health, Illinois Institute of Technology, 6502 South Archer Road Bedford Park, Chicago, IL, 60501, USA.
Megan R MillerCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD, 20708, USA.
Kirstin FrostQuoData - Quality & Statistics, Prellerstraße 14, 01309, Dresden, Germany.
Jodie UlaszekInstitute for Food Safety and Health, Illinois Institute of Technology, 6502 South Archer Road Bedford Park, Chicago, IL, 60501, USA.
Sarah M NemserCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD, 20708, USA.
Laura B GoodmanInstitute for Animal Health, Cornell University, 235 Hungerford Hill Rd, Ithaca, NY, 14853, USA.
Steffen UhligQuoData - Quality & Statistics, Prellerstraße 14, 01309, Dresden, Germany.
Anja SchlierfQuoData - Quality & Statistics, Prellerstraße 14, 01309, Dresden, Germany.
Karina HettwerQuoData - Quality & Statistics, Prellerstraße 14, 01309, Dresden, Germany.
Matthew KmetHuman Foods Program, U.S. Food and Drug Administration, 6502 South Archer Road, Bedford Park, IL, 60501, USA.
Andriy TkachenkoCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD, 20708, USA.
Olgica CericCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD, 20708, USA.
Gregory H TysonCenter for Veterinary Medicine, U.S. Food and Drug Administration, 8401 Muirkirk Road, Laurel, MD, 20708, USA.
Ravinder ReddyHuman Foods Program, U.S. Food and Drug Administration, 6502 South Archer Road, Bedford Park, IL, 60501, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increased demand for highly pathogenic avian influenza (HPAI) testing in milk highlights the critical need for well-characterized samples that enable meaningful evaluation of current detection methods. In this study, we focus on the development and rigorous characterization of artificially contaminated spiked milk samples, forming the foundation for reliable assessment of assay performance. By using reverse transcriptase digital PCR (RT-dPCR), we obtained precise genome copy (GC) measurements of our virus stock and of spiked samples, producing accurate quantification even at low viral loads. In parallel, the U.S. Department of Agriculture National Veterinary Services Laboratories' (USDA-NVSL's) influenza A matrix gene (IAV M) real-time reverse transcriptase (rRT-PCR) assay was employed as the main detection assay, serving as a tool to validate the sample preparation methodology. The goal of this work is to show that robust, reproducible, and analytically traceable samples can be generated to support HPAI method evaluation in proficiency exercises (PEs) distributed nationwide. Low between-sample standard deviations, ranging from 0 to 0.10 rRT-PCR Ct values for replicate samples, fall below the theoretical threshold indicative of heterogeneity, along with RT-dPCR determinations of sample GCs affirm the homogeneity of the developed samples. Parallel analysis of corresponding milk-based and phosphate buffered saline (PBS)-based samples showed no indication of a matrix effect. No significant shifts of Ct value or of measured GCs were observed over time, proving samples to be stable for at least 28 days when stored at -80 °C. The defined assay sensitivity, expressed as the level of detection 50% (LOD

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza in BirdsMilkReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionAnimalsFood ContaminationDigital PCRH5N1HPAIMilkProficiencyReal-time PCR

Identifiers

PMID42258002
PMCPMC13246525

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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.