Evidence map›Paper›PMID 24853554›Full record

ArticlePLoS computational biology2014

Quantifying and predicting the effect of exogenous interleukin-7 on CD4+ T cells in HIV-1 infection.

Rodolphe Thiébaut, Julia Drylewicz, Mélanie Prague, Christine Lacabaratz, Stéphanie Beq, Ana Jarne, Thérèse Croughs, Rafick-Pierre Sekaly, Michael M Lederman, Irini Sereti and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. 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

12 authors at 7 institutions in 3 countries.

Rodolphe ThiébautINSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; INRIA, SISTM team, Bordeaux, France.
Julia DrylewiczLaboratory for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands; Theoretical Biology and Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands.
Mélanie PragueINSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; INRIA, SISTM team, Bordeaux, France.
Christine LacabaratzINSERM, Unité U955, Créteil, France; Université Paris-Est, Faculté de Médecine, UMR-S955 Creteil, France.
Stéphanie BeqCYTHERIS, Issy Les Moulineaux, France.
Ana JarneINSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; INRIA, SISTM team, Bordeaux, France.
Thérèse CroughsCYTHERIS, Issy Les Moulineaux, France.
Rafick-Pierre SekalyVaccine and Gene Therapy Institute-Florida, Port St. Lucie, Florida, United States of America.
Michael M LedermanCase Western Reserve University/University Hospitals/Case Medical Center, Cleveland, Ohio, United States of America.
Irini SeretiNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Daniel CommengesINSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; Univ. Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France; INRIA, SISTM team, Bordeaux, France.
Yves LévyINSERM, Unité U955, Créteil, France; Université Paris-Est, Faculté de Médecine, UMR-S955 Creteil, France; AP-HP, Groupe Henri-Mondor Albert-Chenevier, Immunologie Clinique, Creteil, France.
Inserm · FRCase Western Reserve University · USHôpital Albert-Chenevier · FRNational Institutes of Health · USUniversité de Bordeaux · FRUniversity Medical Center Utrecht · NLVaccine & Gene Therapy Institute of Florida · US

Funding

Immunopathogenic Mechanisms of Human Immunodeficiency Virus (HIV) DiseaseZIAAI001121 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SERETI, IRINI · 2010 to 2025
$27.2M
6 · The paper itself

Abstract

Exogenous Interleukin-7 (IL-7), in supplement to antiretroviral therapy, leads to a substantial increase of all CD4+ T cell subsets in HIV-1 infected patients. However, the quantitative contribution of the several potential mechanisms of action of IL-7 is unknown. We have performed a mathematical analysis of repeated measurements of total and naive CD4+ T cells and their Ki67 expression from HIV-1 infected patients involved in three phase I/II studies (N = 53 patients). We show that, besides a transient increase of peripheral proliferation, IL-7 exerts additional effects that play a significant role in CD4+ T cell dynamics up to 52 weeks. A decrease of the loss rate of the total CD4+ T cell is the most probable explanation. If this effect could be maintained during repeated administration of IL-7, our simulation study shows that such a strategy may allow maintaining CD4+ T cell counts above 500 cells/µL with 4 cycles or fewer over a period of two years. This in-depth analysis of clinical data revealed the potential for IL-7 to achieve sustained CD4+ T cell restoration with limited IL-7 exposure in HIV-1 infected patients with immune failure despite antiretroviral therapy.

Indexed as

Models, ImmunologicalCD4-Positive T-LymphocytesCells, CulturedComputer SimulationHIV-1HIV InfectionsHumansInterleukin-7Ki-67 AntigenIL7 protein, humanInterleukin-7Ki-67 Antigen

Identifiers

PMID24853554
PMCPMC4031052
OpenAlexW2012137498

What OpenQuestion holds

Textmetadata
LicenceCC0
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.