Evidence map›Paper›PMID 27619409›Full record

ArticleNature communications2016

A broadly neutralizing anti-influenza antibody reveals ongoing capacity of haemagglutinin-specific memory B cells to evolve.

Ying Fu, Zhen Zhang, Jared Sheehan, Yuval Avnir, Callie Ridenour, Thomas Sachnik, Jiusong Sun, M Jaber Hossain, Li-Mei Chen, Quan Zhu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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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

12 authors.

Ying FuDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.ORCID 0000-0002-3805-1028
Zhen ZhangDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
Jared SheehanDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
Yuval AvnirDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
Callie RidenourInfluenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, 1600 Clifton Road-Mail Stop G-16, Atlanta, Georgia 30333, USA.
Thomas SachnikDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
Jiusong SunDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
M Jaber HossainInfluenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, 1600 Clifton Road-Mail Stop G-16, Atlanta, Georgia 30333, USA.
Li-Mei ChenInfluenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, 1600 Clifton Road-Mail Stop G-16, Atlanta, Georgia 30333, USA.
Quan ZhuDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.
Ruben O DonisInfluenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, 1600 Clifton Road-Mail Stop G-16, Atlanta, Georgia 30333, USA.
Wayne A MarascoDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, Massachussetts 02215, USA.

Funding

Human Mab Cocktails to Prevent & Treat H5N1 Avian InfluenzaU01AI074518 · NIAID · DANA-FARBER CANCER INST · PI MARASCO, WAYNE A. · 2007 to 2011
$7.2M
Studies of IGHV Germline Gene Polymorphism, Utilization & Shifting for Seasonal Influenza Vaccine Induced Broadly Neutralizing Antibody ResponsesR01AI121285 · NIAID · DANA-FARBER CANCER INST · PI MARASCO, WAYNE A. · 2016 to 2020
$4.0M
NIAID NIH HHS R01 AI121285NIAID NIH HHS U01 AI074518
6 · The paper itself

Abstract

Understanding the natural evolution and structural changes involved in broadly neutralizing antibody (bnAb) development holds great promise for improving the design of prophylactic influenza vaccines. Here we report an haemagglutinin (HA) stem-directed bnAb, 3I14, isolated from human memory B cells, that utilizes a heavy chain encoded by the IGHV3-30 germline gene. MAb 3I14 binds and neutralizes groups 1 and 2 influenza A viruses and protects mice from lethal challenge. Analysis of VH and VL germline back-mutants reveals binding to H3 and H1 but not H5, which supports the critical role of somatic hypermutation in broadening the bnAb response. Moreover, a single VLD94N mutation improves the affinity of 3I14 to H5 by nearly 10-fold. These data provide evidence that memory B cell evolution can expand the HA subtype specificity. Our results further suggest that establishing an optimized memory B cell pool should be an aim of 'universal' influenza vaccine strategies.

Indexed as

Biological EvolutionAnimalsAntibodies, NeutralizingAntibodies, ViralAntibody AffinityB-LymphocytesEpitope MappingEpitopesGene Expression Regulation, ViralHemagglutinin Glycoproteins, Influenza VirusHumansImmunologic MemoryInfluenza A virusInfluenza, HumanInfluenza VaccinesMiceAntibodies, NeutralizingAntibodies, ViralEpitopesHemagglutinin Glycoproteins, Influenza VirusInfluenza Vaccines

Identifiers

PMID27619409
PMCPMC5027281

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.