Evidence map›Paper›PMID 34905077›Full record

ReviewAnalytical and bioanalytical chemistry2022

Antigenic characterization of influenza and SARS-CoV-2 viruses.

Yang Wang, Cynthia Y Tang, Xiu-Feng Wan

Open access · bronzeAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  19. Effects ofMolecules (Basel, Switzerland) · 2025
    Article
  20. Co-injection with inactivatedFrontiers in microbiology · 2025
    Article
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

3 authors at 2 institutions in 1 country.

Yang Wang *MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA.
Cynthia Y Tang *MU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA.
Xiu-Feng WanMU Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, MO, USA. wanx@missouri.edu.ORCID http://orcid.org/0000-0003-2629-9234
University of Missouri · USMissouri College · US

Funding

Selecting HA glycosylation for improved vaccine responsesR01AI155975 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WAN, XIUFENG HENRY, WOODS, ROBERT J · 2021 to 2025
$4.0M
Impact of repeated vaccination on the effectiveness of seasonal influenza vaccinesR01AI152521 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI WAN, XIUFENG HENRY · 2020 to 2025
$3.7M
Use of Clinical Samples to Identify Influenza Virus Antigenic VariantsR01AI147640 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI WAN, XIUFENG HENRY · 2019 to 2024
$2.8M
Genome Based Influenza Vaccine Strain Selection using Machine LearningR01AI116744 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI WAN, XIUFENG HENRY · 2015 to 2019
$1.9M
Massive and Complex Data Analytics Pre-Doctoral Training in One HealthT32LM012410 · NLM · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHYU, CHI-REN · 2016 to 2020
$1.2M
NIAID NIH HHS R01 AI116744NIAID NIH HHS R01 AI147640NIAID NIH HHS R01 AI152521NIAID NIH HHS R01 AI155975NLM NIH HHS T32 LM012410
6 · The paper itself

Abstract

Antigenic characterization of emerging and re-emerging viruses is necessary for the prevention of and response to outbreaks, evaluation of infection mechanisms, understanding of virus evolution, and selection of strains for vaccine development. Primary analytic methods, including enzyme-linked immunosorbent/lectin assays, hemagglutination inhibition, neuraminidase inhibition, micro-neutralization assays, and antigenic cartography, have been widely used in the field of influenza research. These techniques have been improved upon over time for increased analytical capacity, and some have been mobilized for the rapid characterization of the SARS-CoV-2 virus as well as its variants, facilitating the development of highly effective vaccines within 1 year of the initially reported outbreak. While great strides have been made for evaluating the antigenic properties of these viruses, multiple challenges prevent efficient vaccine strain selection and accurate assessment. For influenza, these barriers include the requirement for a large virus quantity to perform the assays, more than what can typically be provided by the clinical samples alone, cell- or egg-adapted mutations that can cause antigenic mismatch between the vaccine strain and circulating viruses, and up to a 6-month duration of vaccine development after vaccine strain selection, which allows viruses to continue evolving with potential for antigenic drift and, thus, antigenic mismatch between the vaccine strain and the emerging epidemic strain. SARS-CoV-2 characterization has faced similar challenges with the additional barrier of the need for facilities with high biosafety levels due to its infectious nature. In this study, we review the primary analytic methods used for antigenic characterization of influenza and SARS-CoV-2 and discuss the barriers of these methods and current developments for addressing these challenges.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesAntigens, ViralHemagglutinin Glycoproteins, Influenza VirusHumansSARS-CoV-2Antigens, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesAntigenic analysisAntigenic characterizationAntigenic driftInfluenzaSARS-CoV-2Vaccine strain selection

Identifiers

PMID34905077
PMCPMC8669429
OpenAlexW4200394459

What OpenQuestion holds

Textmetadata
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.