Evidence map›Paper›PMID 37624867›Full record

ArticlePLoS pathogens2023

Germline-encoded specificities and the predictability of the B cell response.

Marcos C Vieira, Anna-Karin E Palm, Christopher T Stamper, Micah E Tepora, Khoa D Nguyen, Tho D Pham, Scott D Boyd, Patrick C Wilson, Sarah Cobey

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors at 4 institutions in 2 countries.

Marcos C VieiraDepartment of Ecology and Evolution, University of Chicago, Chicago, United States of America.ORCID 0000-0002-6731-4202
Anna-Karin E PalmDepartment of Medicine, Section of Rheumatology, University of Chicago, Chicago, United States of America.
Christopher T StamperCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Micah E TeporaDepartment of Medicine, Section of Rheumatology, University of Chicago, Chicago, United States of America.
Khoa D NguyenDepartment of Pathology, Stanford University School of Medicine, Stanford, United States of America.
Tho D PhamDepartment of Pathology, Stanford University School of Medicine, Stanford, United States of America.
Scott D BoydDepartment of Pathology, Stanford University School of Medicine, Stanford, United States of America.
Patrick C WilsonDepartment of Medicine, Section of Rheumatology, University of Chicago, Chicago, United States of America.
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, United States of America.
University of Chicago · USStanford University · USCornell University · USKarolinska University Hospital · SE

Funding

COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
Understanding Human B Cell Responses to Influenza to Improve the Influenza U19AI109946 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PALESE, PETER · 2014 to 2018
$9.6M
University of Chicago Autoimmunity Center of ExcellenceU19AI082724 · NIAID · UNIVERSITY OF CHICAGO · PI WILSON, PATRICK CHRISTOPHER · 2009 to 2023
$7.2M
Effects of aging on primary and secondary vaccine responses in a 15-year longitudinal cohortR01AI130398 · NIAID · STANFORD UNIVERSITY · PI BOYD, SCOTT DEXTER · 2017 to 2021
$4.0M
Modeling the Evolutionary Dynamics of Immunity to Influenza for Vaccine DevelopmeDP2AI117921 · NIAID · UNIVERSITY OF CHICAGO · PI COBEY, SARAH · 2014 to 2014
$2.1M
Storage and recall of human B cell memory of influenza over tissues and timeR01AI127877 · NIAID · STANFORD UNIVERSITY · PI BOYD, SCOTT DEXTER · 2017 to 2021
$2.0M
NIAID NIH HHS 75N93019C00051NIAID NIH HHS 75N93021C00015NIAID NIH HHS DP2 AI117921NIAID NIH HHS HHSN272201400005CNIAID NIH HHS R01 AI127877NIAID NIH HHS R01 AI130398NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI057266NIAID NIH HHS U19 AI082724NIAID NIH HHS U19 AI109946
6 · The paper itself

Abstract

Antibodies result from the competition of B cell lineages evolving under selection for improved antigen recognition, a process known as affinity maturation. High-affinity antibodies to pathogens such as HIV, influenza, and SARS-CoV-2 are frequently reported to arise from B cells whose receptors, the precursors to antibodies, are encoded by particular immunoglobulin alleles. This raises the possibility that the presence of particular germline alleles in the B cell repertoire is a major determinant of the quality of the antibody response. Alternatively, initial differences in germline alleles' propensities to form high-affinity receptors might be overcome by chance events during affinity maturation. We first investigate these scenarios in simulations: when germline-encoded fitness differences are large relative to the rate and effect size variation of somatic mutations, the same germline alleles persistently dominate the response of different individuals. In contrast, if germline-encoded advantages can be easily overcome by subsequent mutations, allele usage becomes increasingly divergent over time, a pattern we then observe in mice experimentally infected with influenza virus. We investigated whether affinity maturation might nonetheless strongly select for particular amino acid motifs across diverse genetic backgrounds, but we found no evidence of convergence to similar CDR3 sequences or amino acid substitutions. These results suggest that although germline-encoded specificities can lead to similar immune responses between individuals, diverse evolutionary routes to high affinity limit the genetic predictability of responses to infection and vaccination.

Indexed as

COVID-19AllelesAnimalsAntibodiesGerm CellsMiceSARS-CoV-2Antibodies

Identifiers

PMID37624867
PMCPMC10484431
OpenAlexW4386156557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.