Evidence map›Paper›PMID 22134339›Full record

ReviewCurrent opinion in HIV and AIDS2012

Dissecting the HIV-specific immune response: a systems biology approach.

Yoav Peretz, Cheryl Cameron, Rafick-Pierre Sékaly

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Systems-level analysis of innate immunity.Annual review of immunology · 2014
    Review
  7. Review
  8. Review
  9. Review
  10. Systems biology: personalized medicine for the future?Current opinion in pharmacology · 2012
    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

3 authors.

Yoav PeretzImmuneCarta Services, Montreal, Quebec, Canada.
Cheryl Cameron
Rafick-Pierre Sékaly

Funding

Specimen Acquisition and Distribution CoreP01AI076174 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI LEDERMAN, MICHAEL MARCEL · 2008 to 2012
$10.9M
NIAID NIH HHS AI076174-01A1NIAID NIH HHS P01 AI076174PHS HHS IDPIDA028871-01
6 · The paper itself

Abstract

purpose of reviewSeveral unique HIV-infected or HIV-resistant cohorts have been studied over the years to try and delineate the correlates of protection. Although several mechanisms have been put forward, studies aiming to integrate the different mechanisms into a comprehensive model are still lacking. Current systems biology approaches emphasize the importance of unifying independent datasets, provide tools that facilitate hypothesis formulation and testing, and direct us toward uncovering novel therapeutic targets by defining molecular networks perturbed during disease. This review will focus on the current findings that utilized systems biology techniques in order to identify correlates of protection from HIV disease progression and resistance to infection in unique cohorts of individuals as well as in nonhuman primate models of SIV infection. RECENT

findingsUsing systems biology technologies and data analysis tools, the studies described herein have found that pathways implicated in survival, cell cycling, inflammation, and oxidative stress work in unison to limit pathology caused by chronic immune activation. This situation favors the survival of effector lymphocytes and limits the dissemination of viral particles in HIV elite controllers, exposed-uninfected individuals, and natural hosts of SIV infection. SUMMARY: Systems and computational biology tools have clearly expanded our understanding of HIV pathogenesis by unifying independent observations and by giving us novel molecular targets to pursue. These molecular signatures have the potential to uncover correlates of protection in HIV disease and, in the era of personalized medicine, to determine predictive signatures of treatment efficacy and/or failure.

Indexed as

Host-Pathogen InteractionsBiomarkersChronic DiseaseComputational BiologyHIVHIV InfectionsHumansSystems BiologyUnited StatesBiomarkers

Identifiers

PMID22134339
PMCPMC3627479

What OpenQuestion holds

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Registered trials

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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.