Evidence map›Paper›PMID 28135270›Full record

ArticlePLoS computational biology2017

Optimal Sequential Immunization Can Focus Antibody Responses against Diversity Loss and Distraction.

Shenshen Wang

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  3. Epistatic hotspots organize antibody fitness landscape and boost evolvability.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Optimizing immunization protocols to elicit broadly neutralizing antibodies.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  17. Article
  18. Tuning environmental timescales to evolve and maintain generalists.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Article
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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

1 author at 1 institution in 1 country.

Shenshen WangDepartment of Physics and Astronomy, University of California Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0001-9951-2118
University of California, Los Angeles · US

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
NIAID NIH HHS UM1 AI100663
6 · The paper itself

Abstract

Affinity maturation is a Darwinian process in which B lymphocytes evolve potent antibodies to encountered antigens and generate immune memory. Highly mutable complex pathogens present an immense antigenic diversity that continues to challenge natural immunity and vaccine design. Induction of broadly neutralizing antibodies (bnAbs) against this diversity by vaccination likely requires multiple exposures to distinct but related antigen variants, and yet how affinity maturation advances under such complex stimulation remains poorly understood. To fill the gap, we present an in silico model of affinity maturation to examine two realistic new aspects pertinent to vaccine development: loss in B cell diversity across successive immunization periods against different variants, and the presence of distracting epitopes that entropically disfavor the evolution of bnAbs. We find these new factors, which introduce additional selection pressures and constraints, significantly influence antibody breadth development, in a way that depends crucially on the temporal pattern of immunization (or selection forces). Curiously, a less diverse B cell seed may even favor the expansion and dominance of cross-reactive clones, but only when conflicting selection forces are presented in series rather than in a mixture. Moreover, the level of frustration due to evolutionary conflict dictates the degree of distraction. We further describe how antigenic histories select evolutionary paths of B cell lineages and determine the predominant mode of antibody responses. Sequential immunization with mutationally distant variants is shown to robustly induce bnAbs that focus on conserved elements of the target epitope, by thwarting strain-specific and distracted lineages. An optimal range of antigen dose underlies a fine balance between efficient adaptation and persistent reaction. These findings provide mechanistic guides to aid in design of vaccine strategies against fast mutating pathogens.

Indexed as

Models, GeneticModels, ImmunologicalAIDS VaccinesAntibodies, NeutralizingAntibody AffinityAntibody DiversityAntigen-Antibody ReactionsBiological EvolutionB-LymphocytesCells, CulturedCell SurvivalComputer SimulationGenetic VariationHumansImmunizationImmunization ScheduleAIDS VaccinesAntibodies, Neutralizing

Identifiers

PMID28135270
PMCPMC5279722
OpenAlexW2581400213

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.