Evidence map›Paper›PMID 25701451›Full record

ArticleJournal of theoretical biology2015

Immuno-modulatory strategies for reduction of HIV reservoir cells.

H T Banks, Kevin B Flores, Shuhua Hu, Eric Rosenberg, Maria Buzon, Xu Yu, Matthias Lichterfeld

Open access · greenAbstract read
In one paragraph

Article in Journal of theoretical biology, 2015. 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
0.6field-weighted citation impact, top 32% 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, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

H T BanksCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, USA. Electronic address: htbanks@ncsu.edu.
Kevin B FloresCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, USA.
Shuhua HuCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, USA.
Eric RosenbergHarvard Medical School and Mass General Hospital, Ragon Institute, Boston, MA, USA.
Maria BuzonHarvard Medical School and Mass General Hospital, Ragon Institute, Boston, MA, USA.
Xu YuHarvard Medical School and Mass General Hospital, Ragon Institute, Boston, MA, USA.
Matthias LichterfeldHarvard Medical School and Mass General Hospital, Ragon Institute, Boston, MA, USA.
Ragon Institute of MGH, MIT and Harvard · USNorth Carolina State University · US

Funding

Mathematical and Statistical Modeling to Inform Design of HIV Clinical TrialsR01AI071915 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BANKS, H. THOMAS · 2006 to 2012
$4.6M
NIAID NIH HHS R01 AI071915NIAID NIH HHS R01AI071915-10
6 · The paper itself

Abstract

Antiretroviral therapy is able to suppress the viral load to below the detection limit, but it is not able to eradicate HIV reservoirs. Thus, there is a critical need for a novel treatment to eradicate (or reduce) the reservoir in order to eliminate the need for a lifelong adherence to antiretroviral therapy, which is expensive and potentially toxic. In this paper, we investigate the possible pharmacological strategies or combinations of strategies that may be beneficial to reduce or possibly eradicate the latent reservoir. We do this via studies with a validated mathematical model, where the parameter values are obtained with newly acquired clinical data for HIV patients. Our findings indicate that the strategy of reactivating the reservoir combined with enhancement of the killing rate of HIV-specific CD8+ T cells is able to eradicate the reservoir. In addition, our analysis shows that a targeted suppression of the immune system is also a possible strategy to eradicate the reservoir.

Indexed as

Anti-HIV AgentsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell ProliferationComputer SimulationHIV-1HIV InfectionsHomeostasisHumansModels, BiologicalViral LoadVirus LatencyAnti-HIV AgentsImmune responseInverse problemMathematical modelStability analysis

Identifiers

PMID25701451
PMCPMC4390551
OpenAlexW1973958694

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.