Evidence map›Paper›PMID 22999945›Full record

ReviewImmunity2012

Innate immune recognition of HIV-1.

Akiko Iwasaki

Abstract readReview
In one paragraph

Review in Immunity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  19. Article
  20. HIV-1 Infection of Primary CD4Journal of virology · 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

1 author.

Akiko IwasakiDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA. akiko.iwasaki@yale.edu

Funding

Virology and Smallpox VaccinationsU54AI057160 · NIAID · WASHINGTON UNIVERSITY · PI RAY, RANJIT · 2003 to 2013
$80.9M
Immunity to Genital Herpes Simplex-2R01AI054359 · NIAID · YALE UNIVERSITY · PI IWASAKI, AKIKO · 2004 to 2019
$5.2M
Viral Recognition by plasmacytoid dendritic cellR01AI064705 · NIAID · YALE UNIVERSITY · PI IWASAKI, AKIKO · 2006 to 2015
$3.9M
Antiviral CTL mobilization to the genital mucosaR01AI062428 · NIAID · YALE UNIVERSITY · PI IWASAKI, AKIKO · 2005 to 2015
$3.9M
Autophagy in Antiviral ImmunityR01AI081884 · NIAID · YALE UNIVERSITY · PI IWASAKI, AKIKO · 2010 to 2014
$2.0M
Antiviral CTL mobilization to the genital mucosaR56AI062428 · NIAID · YALE UNIVERSITY · PI IWASAKI, AKIKO · 2010 to 2010
$403k
NIAID NIH HHS AI054359NIAID NIH HHS AI062428NIAID NIH HHS AI064705NIAID NIH HHS AI081884NIAID NIH HHS R01 AI054359NIAID NIH HHS R01 AI062428NIAID NIH HHS R01 AI064705NIAID NIH HHS R01 AI081884NIAID NIH HHS R56 AI062428NIAID NIH HHS U54 AI057160NIAID NIH HHS U54AI057160
6 · The paper itself

Abstract

In contrast to the extraordinary body of knowledge gained over the past three decades on the virology, pathogenesis, and immunology of HIV-1 infection, innate sensors that detect HIV-1 had remained elusive until recently. By virtue of integration, retroviridae makes up a substantial portion of our genome. Thus, immune strategies that deal with endogenous retroviruses are, by necessity, those of self-preservation and not of virus elimination. Some of the principles of such strategies may also apply for defense against exogenous retroviruses including HIV-1. Here, I highlight several sensors that have recently been revealed to be capable of recognizing distinct features of HIV-1 infection, while taking into account the host-retrovirus relationship that converges on avoiding pathogenic inflammatory consequences.

Indexed as

CD4-Positive T-LymphocytesDendritic CellsHIV-1HIV InfectionsHost-Pathogen InteractionsHumansImmunity, InnateModels, ImmunologicalToll-Like ReceptorsToll-Like Receptors

Identifiers

PMID22999945
PMCPMC3578946

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.