Evidence map›Paper›PMID 19913558›Full record

ArticleJournal of theoretical biology2010

Model with two types of CTL regulation and experiments on CTL dynamics.

R A Sergeev, R E Batorsky, I M Rouzine

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2010. 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
0.5field-weighted citation impact, top 37% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Modeling the immune response to HIV infection.Current opinion in systems biology · 2018
    Article
  4. Article
  5. Article
  6. Article
  7. Estimate of effective recombination rate and average selection coefficient for HIV in chronic infection.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  8. Article
  9. Article
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

3 authors at 1 institution in 1 country.

R A SergeevDepartment of Theoretical Microelectronics, A.F. Ioffe Physical Technical Institute, 26 Polytechnicheskaya St, St. Petersburg 194021, Russia.
R E Batorsky
I M Rouzine
Tufts University · US

Funding

Working Models of HIV Persistence & EvolutionR01AI063926 · NIAID · TUFTS UNIVERSITY BOSTON · PI ROUZINE, IGOR M · 2006 to 2008
$956k
NIAID NIH HHS R01 AI063926NIAID NIH HHS T5R01AI063926
6 · The paper itself

Abstract

Recently, we developed a mathematical model of interaction between the HIV and the immune system to match various dynamic experiments carried out in HIV-infected humans and SIV-infected macaques. The model includes helper cell-dependent and helper cell-independent cytotoxic lymphocytes (CTLs) and predicts two stable steady states, a state with a high virus load and few helper cells, and another state with a low virus load and many helper cells. Here we upgrade the model to take into account recent reports on the link between the activation status of infected cells and their ability to produce virus, the effect of helper cells at the time of priming on CTL differentiation, and virus dynamics in unvaccinated macaques with a broad genetic background acutely infected with SIVmac251. We also discuss in detail the experimental justification of the CTL block and the robustness of model predictions with respect to the hypothesis of two CTL subtypes.

Indexed as

Models, BiologicalAnimalsAnti-HIV AgentsCell DifferentiationHIVHIV InfectionsHumansMacacaSimian Acquired Immunodeficiency SyndromeT-Lymphocytes, CytotoxicVirus ReplicationAnti-HIV Agents

Identifiers

PMID19913558
PMCPMC2827655
OpenAlexW1985632331

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.