Evidence map›Paper›PMID 35336970›Full record

ArticleViruses2022

A Novel Method to Reduce ELISA Serial Dilution Assay Workload Applied to SARS-CoV-2 and Seasonal HCoVs.

David Pattinson, Peter Jester, Lizheng Guan, Seiya Yamayoshi, Shiho Chiba, Robert Presler, Hongyu Rao, Kiyoko Iwatsuki-Horimoto, Nobuhiro Ikeda, Masao Hagihara and 5 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

15 authors at 3 institutions in 2 countries.

David PattinsonDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-0001-8203
Peter JesterDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-2802-7451
Lizheng GuanDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Seiya YamayoshiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-0071, Japan.ORCID 0000-0001-7768-5157
Shiho ChibaDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Robert PreslerDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-2509-6219
Hongyu RaoDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Kiyoko Iwatsuki-HorimotoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-0071, Japan.
Nobuhiro IkedaDepartment of General Internal Medicine, Eiju General Hospital, Tokyo 104-0045, Japan.
Masao HagiharaDepartment of Hematology, Eiju General Hospital, Tokyo 104-0045, Japan.
Tomoyuki UchidaDepartment of Hematology, Eiju General Hospital, Tokyo 104-0045, Japan.
Keiko MitamuraDivision of Infection Control, Eiju General Hospital, Tokyo 104-0045, Japan.
Peter HalfmannDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Gabriele NeumannDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Yoshihiro KawaokaDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
University of Wisconsin–Madison · USEiju General Hospital · JPTokyo University of Science · JP

Funding

CDC HHS 75D30120C09259Japan Agency for Medical Research and Development 20fk0108272Japan Agency for Medical Research and Development 20fk0108301Japan Agency for Medical Research and Development 20fk0108527
6 · The paper itself

Abstract

Assays using ELISA measurements on serially diluted serum samples have been heavily used to measure serum reactivity to SARS-CoV-2 antigens and are widely used in virology and elsewhere in biology. We test a method using Bayesian hierarchical modelling to reduce the workload of these assays and measure reactivity of SARS-CoV-2 and HCoV antigens to human serum samples collected before and during the COVID-19 pandemic. Inflection titers for SARS-CoV-2 full-length spike protein (S1S2), spike protein receptor-binding domain (RBD), and nucleoprotein (N) inferred from 3 spread-out dilutions correlated with those inferred from 8 consecutive dilutions with an R

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralBayes TheoremEnzyme-Linked Immunosorbent AssayHumansPandemicsSeasonsWorkloadAntibodies, ViralBayesian analysisELISAendpoint assayHCoV-229EHCoV-HKU1HCoV-NL63HCoV-OC43hierarchical modellinginflection titerSARS-CoV-2

Identifiers

PMID35336970
PMCPMC8955134
OpenAlexW4221090555

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.