Evidence map›Paper›PMID 26194755›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Dynamics of immunoglobulin sequence diversity in HIV-1 infected individuals.

Kenneth B Hoehn, Astrid Gall, Rachael Bashford-Rogers, S J Fidler, S Kaye, J N Weber, M O McClure, SPARTAC Trial Investigators, Paul Kellam, Oliver G Pybus

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Inspecting the interaction between human immunodeficiency virus and the immune system through genetic turnover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Repertoire-wide phylogenetic models of B cell molecular evolution reveal evolutionary signatures of aging and vaccination.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. The evolution within us.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    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

10 authors.

Kenneth B HoehnDepartment of Zoology, University of Oxford, Oxford, UK.
Astrid GallWellcome Trust Sanger Institute, Cambridge, UK.
Rachael Bashford-RogersWellcome Trust Sanger Institute, Cambridge, UK Cambridge Institute of Medical Research, University of Cambridge, Cambridge, UK.
S J FidlerFaculty of Medicine, Imperial College, London, UK.
S KayeFaculty of Medicine, Imperial College, London, UK.
J N WeberFaculty of Medicine, Imperial College, London, UK.
M O McClureFaculty of Medicine, Imperial College, London, UK.
SPARTAC Trial Investigators
Paul KellamWellcome Trust Sanger Institute, Cambridge, UK MRC/UCL Centre for Medical Molecular Virology, Division of Infection and Immunity, University College London, London, UK.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, UK oliver.pybus@zoo.ox.ac.uk.

Funding

Medical Research Council MR/L006588/1Wellcome Trust 069598/Z/02/ZWellcome Trust 090532/Z/09/ZWellcome Trust 104748
6 · The paper itself

Abstract

Advances in immunoglobulin (Ig) sequencing technology are leading to new perspectives on immune system dynamics. Much research in this nascent field has focused on resolving immune responses to viral infection. However, the dynamics of B-cell diversity in early HIV infection, and in response to anti-retroviral therapy, are still poorly understood. Here, we investigate these dynamics through bulk Ig sequencing of samples collected over 2 years from a group of eight HIV-1 infected patients, five of whom received anti-retroviral therapy during the first half of the study period. We applied previously published methods for visualizing and quantifying B-cell sequence diversity, including the Gini index, and compared their efficacy to alternative measures. While we found significantly greater clonal structure in HIV-infected patients versus healthy controls, within HIV patients, we observed no significant relationships between statistics of B-cell clonal expansion and clinical variables such as viral load and CD4(+) count. Although there are many potential explanations for this, we suggest that important factors include poor sampling resolution and complex B-cell dynamics that are difficult to summarize using simple summary statistics. Importantly, we find a significant association between observed Gini indices and sequencing read depth, and we conclude that more robust analytical methods and a closer integration of experimental and theoretical work is needed to further our understanding of B-cell repertoire diversity during viral infection.

Indexed as

Antibody DiversityHIV-1B-LymphocytesCase-Control StudiesClonal Selection, Antigen-MediatedGenetic VariationHIV AntibodiesHIV InfectionsHumansReceptors, Antigen, B-CellV(D)J RecombinationHIV AntibodiesReceptors, Antigen, B-CellB-cell receptordiversityGini index

Identifiers

PMID26194755
PMCPMC4528418

What OpenQuestion holds

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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.