Evidence map›Paper›PMID 23992996›Full record

ReviewCurrent opinion in immunology2013

Human lymphocyte repertoires in ageing.

Scott D Boyd, Yi Liu, Chen Wang, Victoria Martin, Deborah K Dunn-Walters

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Review
  3. Repertoire-scale measures of antigen binding.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Frontiers in immunology · 2019
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. 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

5 authors at 2 institutions in 2 countries.

Scott D BoydDepartment of Pathology, Stanford University, Stanford, CA, USA. Electronic address: sboyd1@stanford.edu.
Yi Liu
Chen Wang
Victoria Martin
Deborah K Dunn-Walters
Stanford University · USKing's College School · GB

Funding

Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
NIAID NIH HHS U19 AI090019
6 · The paper itself

Abstract

Deterioration of adaptive immunity with ageing may reflect changes in the repertoire of T cells and B cells available to respond to antigenic challenges, due to altered proportions and absolute numbers of lymphocyte subpopulations as well as changes in the repertoire of antigen receptor genes expressed by these cells. High-throughput DNA sequencing (HTS) now facilitates examination of immunoglobulin and T cell receptor gene rearrangements, and initial studies using these methods to study immune system ageing in humans have demonstrated age-related alterations in the receptor populations within lymphocyte subsets, as well as in repertoires responding to vaccination. Accurate measurement of repertoire diversity remains an experimental challenge. Studies of larger numbers of human subjects, analysis of defined lymphocyte subpopulations including antigen-specific populations, and controlling for factors such as chronic viral infections, will be important for gaining additional understanding of the impact of ageing on human lymphocyte populations.

Indexed as

AgingAnimalsB-LymphocytesCell DifferentiationHigh-Throughput Nucleotide SequencingHumansT-Lymphocytes

Identifiers

PMID23992996
PMCPMC4811628
OpenAlexW1978831500

What OpenQuestion holds

Textmetadata
LicenceTDM
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.