Evidence map›Paper›PMID 31936163›Full record

ReviewViruses2020

Factors That Govern the Induction of Long-Lived Antibody Responses.

Bryce Chackerian, David S Peabody

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Bryce ChackerianDepartment of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM 87106, USA.
David S PeabodyDepartment of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM 87106, USA.
University of New Mexico · US

Funding

The EPI-STI Biostatistics and Bioinformatics Core (Cuzick/Wheeler)U19AI113187 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI KONG, ALBERTA SUM-YU · 2014 to 2018
$12.6M
Opioid vaccine development using bacteriophage virus-like particle (VLP) immunogensR01HL131696 · NHLBI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CHACKERIAN, BRYCE C · 2017 to 2020
$2.0M
NIH HHS R01 HL131696NIH HHS U19 AI113187
6 · The paper itself

Abstract

The induction of long-lasting, high-titer antibody responses is critical to the efficacy of many vaccines. The ability to produce durable antibody responses is governed by the generation of the terminally differentiated antibody-secreting B cells known as long-lived plasma cells (LLPCs). Once induced, LLPCs likely persist for decades, providing long-term protection against infection. The factors that control the generation of this important class of B cells are beginning to emerge. In particular, antigens with highly dense, multivalent structures are especially effective. Here we describe some pathogens for which the induction of long-lived antibodies is particularly important, and discuss the basis for the extraordinary ability of multivalent antigens to drive differentiation of naïve B cells to LLPCs.

Indexed as

Antibody FormationAnimalsAntigensB-LymphocytesCell DifferentiationHumansMicePlasma CellsTime FactorsVaccinesAntigensVaccinesantibodieslong-lived plasma cellsmultivalencyvirus-like particles

Identifiers

PMID31936163
PMCPMC7019776
OpenAlexW2999304152

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.