Evidence map›Paper›PMID 32892628›Full record

ReviewJournal of proteome research2020

Rapid Response to Pandemic Threats: Immunogenic Epitope Detection of Pandemic Pathogens for Diagnostics and Vaccine Development Using Peptide Microarrays.

Kirsten Heiss, Jasmin Heidepriem, Nico Fischer, Laura K Weber, Christine Dahlke, Thomas Jaenisch, Felix F Loeffler

Abstract readReview
In one paragraph

Review in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Epitope Mapping of BmpA and BBK32ACS infectious diseases · 2023
    Article
  6. Review
  7. Detection ofAnimals : an open access journal from MDPI · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Peptide Microarrays for Studying Autoantibodies in Neurological Disease.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
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

7 authors.

Kirsten HeissPEPperPRINT GmbH, Rischerstrasse 12, 69123 Heidelberg, Germany.
Jasmin HeidepriemMax Planck Institute of Colloids and Interfaces, Department of Biomolecular Systems, Am Muehlenberg 1, 14476 Potsdam, Germany.
Nico FischerSection Clinical Tropical Medicine, Department of Infectious Diseases, Heidelberg University Hospital, INF 324, 69120 Heidelberg, Germany.
Laura K WeberPEPperPRINT GmbH, Rischerstrasse 12, 69123 Heidelberg, Germany.
Christine DahlkeDivision of Infectious Diseases, First Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Thomas JaenischHeidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Im Neuenheimer Feld 130, 69120 Heidelberg, Germany.
Felix F LoefflerMax Planck Institute of Colloids and Interfaces, Department of Biomolecular Systems, Am Muehlenberg 1, 14476 Potsdam, Germany.ORCID 0000-0002-8227-2522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergence and re-emergence of pathogens bearing the risk of becoming a pandemic threat are on the rise. Increased travel and trade, growing population density, changes in urbanization, and climate have a critical impact on infectious disease spread. Currently, the world is confronted with the emergence of a novel coronavirus SARS-CoV-2, responsible for yet more than 800 000 deaths globally. Outbreaks caused by viruses, such as SARS-CoV-2, HIV, Ebola, influenza, and Zika, have increased over the past decade, underlining the need for a rapid development of diagnostics and vaccines. Hence, the rational identification of biomarkers for diagnostic measures on the one hand, and antigenic targets for vaccine development on the other, are of utmost importance. Peptide microarrays can display large numbers of putative target proteins translated into overlapping linear (and cyclic) peptides for a multiplexed, high-throughput antibody analysis. This enabled for example the identification of discriminant/diagnostic epitopes in Zika or influenza and mapping epitope evolution in natural infections versus vaccinations. In this review, we highlight synthesis platforms that facilitate fast and flexible generation of high-density peptide microarrays. We further outline the multifaceted applications of these peptide array platforms for the development of serological tests and vaccines to quickly encounter pandemic threats.

Indexed as

Communicable DiseasesEpitope MappingEpitopesPandemicsBetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19 TestingHigh-Throughput Screening AssaysHumansProtein Array AnalysisSARS-CoV-2Time FactorsEpitopesarray synthesis technologiesepitope mappinginfectious diseasesmicroarrays

Identifiers

PMID32892628
PMCPMC7640972

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.