Evidence map›Paper›PMID 27010200›Full record

ArticlePloS one2016

Reconciling Longitudinal Naive T-Cell and TREC Dynamics during HIV-1 Infection.

Julia Drylewicz, Nienke Vrisekoop, Tendai Mugwagwa, Anne Bregje de Boer, Sigrid A Otto, Mette D Hazenberg, Kiki Tesselaar, Rob J de Boer, José A M Borghans

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  5. Article
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  7. Nucleic acid testing and molecular characterization of HIV infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Review
  8. Review
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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

9 authors at 2 institutions in 1 country.

Julia DrylewiczLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Nienke VrisekoopLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Tendai MugwagwaTheoretical Biology & Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands.
Anne Bregje de BoerLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Sigrid A OttoLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Mette D HazenbergLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Kiki TesselaarLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Rob J de BoerTheoretical Biology & Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands.
José A M BorghansLaboratory of Translational Immunology, Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
University Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naive T cells in untreated HIV-1 infected individuals have a reduced T-cell receptor excision circle (TREC) content. Previous mathematical models have suggested that this is due to increased naive T-cell division. It remains unclear, however, how reduced naive TREC contents can be reconciled with a gradual loss of naive T cells in HIV-1 infection. We performed longitudinal analyses in humans before and after HIV-1 seroconversion, and used a mathematical model to investigate which processes could explain the observed changes in naive T-cell numbers and TRECs during untreated HIV-1 disease progression. Both CD4+ and CD8+ naive T-cell TREC contents declined biphasically, with a rapid loss during the first year and a much slower loss during the chronic phase of infection. While naive CD8+ T-cell numbers hardly changed during follow-up, naive CD4+ T-cell counts continually declined. We show that a fine balance between increased T-cell division and loss in the peripheral naive T-cell pool can explain the observed short- and long-term changes in TRECs and naive T-cell numbers, especially if T-cell turnover during the acute phase is more increased than during the chronic phase of infection. Loss of thymic output, on the other hand, does not help to explain the biphasic loss of TRECs in HIV infection. The observed longitudinal changes in TRECs and naive T-cell numbers in HIV-infected individuals are most likely explained by a tight balance between increased T-cell division and death, suggesting that these changes are intrinsically linked in HIV infection.

Indexed as

HIV-1HIV InfectionsHumansLongitudinal StudiesT-Lymphocytes

Identifiers

PMID27010200
PMCPMC4806918
OpenAlexW2305032217

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.