Evidence map›Paper›PMID 26385832›Full record

ArticleJournal of theoretical biology2015

A multi-scale mathematical modeling framework to investigate anti-viral therapeutic opportunities in targeting HIV-1 accessory proteins.

Gajendra W Suryawanshi, Alexander Hoffmann

Open access · bronzeAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Modeling the immune response to HIV infection.Current opinion in systems biology · 2018
    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

2 authors at 2 institutions in 1 country.

Gajendra W SuryawanshiSignaling Systems Laboratory, San Diego Center for Systems Biology (SDCSB) and the HIV Interaction Network Team (HINT), UCSD, La Jolla, CA 92093, USA; Institute for Quantitative and Computational Biosciences (QCB) and the Department of Microbiology, Immunology and Molecular Genetics (MIMG), UCLA, Los Angeles, CA 90095, USA.
Alexander HoffmannSignaling Systems Laboratory, San Diego Center for Systems Biology (SDCSB) and the HIV Interaction Network Team (HINT), UCSD, La Jolla, CA 92093, USA; Institute for Quantitative and Computational Biosciences (QCB) and the Department of Microbiology, Immunology and Molecular Genetics (MIMG), UCLA, Los Angeles, CA 90095, USA. Electronic address: ahoffmann@ucla.edu.
Center for Systems Biology · USQB3 · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2010 to 2018
$23.3M
Molecular Virology and Systems Biology Screening CoreP01AI090935 · NIAID · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI KOENIG, RENATE · 2010 to 2014
$20.4M
The NF-kB signaling system as a regulator of B-cell activationR01AI083453 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2010 to 2014
$1.7M
NIAID NIH HHS P01 AI090935NIAID NIH HHS P01-AI090935-01NIAID NIH HHS R01 AI083453NIGMS NIH HHS P50 GM085764
6 · The paper itself

Abstract

Human immunodeficiency virus-1 (HIV-1) employs accessory proteins to evade innate immune responses by neutralizing the anti-viral activity of host restriction factors. Apolipoprotein B mRNA-editing enzyme 3G (APOBEC3G, A3G) and bone marrow stromal cell antigen 2 (BST2) are host resistance factors that potentially inhibit HIV-1 infection. BST2 reduces viral production by tethering budding HIV-1 particles to virus producing cells, while A3G inhibits the reverse transcription (RT) process and induces viral genome hypermutation through cytidine deamination, generating fewer replication competent progeny virus. Two HIV-1 proteins counter these cellular restriction factors: Vpu, which reduces surface BST2, and Vif, which degrades cellular A3G. The contest between these host and viral proteins influences whether HIV-1 infection is established and progresses towards AIDS. In this work, we present an age-structured multi-scale viral dynamics model of in vivo HIV-1 infection. We integrated the intracellular dynamics of anti-viral activity of the host factors and their neutralization by HIV-1 accessory proteins into the virus/cell population dynamics model. We calculate the basic reproductive ratio (Ro) as a function of host-viral protein interaction coefficients, and numerically simulated the multi-scale model to understand HIV-1 dynamics following host factor-induced perturbations. We found that reducing the influence of Vpu triggers a drop in Ro, revealing the impact of BST2 on viral infection control. Reducing Vif׳s effect reveals the restrictive efficacy of A3G in blocking RT and in inducing lethal hypermutations, however, neither of these factors alone is sufficient to fully restrict HIV-1 infection. Interestingly, our model further predicts that BST2 and A3G function synergistically, and delineates their relative contribution in limiting HIV-1 infection and disease progression. We provide a robust modeling framework for devising novel combination therapies that target HIV-1 accessory proteins and boost antiviral activity of host factors.

Indexed as

Models, BiologicalAnti-HIV AgentsDrug SynergismDrug Therapy, CombinationHIV-1HIV InfectionsHumansMolecular Targeted TherapyViral LoadViral Regulatory and Accessory ProteinsVirus ReplicationAnti-HIV AgentsViral Regulatory and Accessory ProteinsAge-structured modelsCombination therapyHost restriction factorsHypermutationsReproductive ratio

Identifiers

PMID26385832
PMCPMC4685255
OpenAlexW1625086967

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.