Evidence map›Paper›PMID 24837427›Full record

ArticleThe Journal of clinical investigation2014

Unraveling the relationship between microbial translocation and systemic immune activation in HIV infection.

Liang Shan, Robert F Siliciano

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Liang Shan
Robert F Siliciano
Johns Hopkins University · USYale University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LUCIW, PAUL · 2011 to 2015
$39.5M
Viral reservoirs and sanctuaries in HAART - treated patients: role and mechanismsU19AI096109 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHACKER, TIMOTHY W · 2011 to 2015
$29.5M
INTERDISCIPLINARY IMMUNOLOGY TRAINING PROGRAMT32AI007019 · NIAID · YALE UNIVERSITY · PI Carrie L. Lucas, David G. Schatz · 1985 to 2026
$14.4M
Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR001079NIAID NIH HHS AI096109NIAID NIH HHS AI096113NIAID NIH HHS T32 AI007019NIAID NIH HHS T32 AI07019NIAID NIH HHS U19 AI096109NIAID NIH HHS U19 AI096113PHS HHS 43222
6 · The paper itself

Abstract

Chronic immune activation is a key factor in HIV-1 disease progression. The translocation of microbial products from the intestinal lumen into the systemic circulation occurs during HIV-1 infection and is associated closely with immune activation; however, it has not been determined conclusively whether microbial translocation drives immune activation or occurs as a consequence of HIV-1 infection. In an important study in this issue of the JCI, Kristoff and colleagues describe the role of microbial translocation in producing immune activation in an animal model of HIV-1 infection, SIV infection of pigtailed macaques. Blocking translocation of intestinal bacterial LPS into the circulation dramatically reduced T cell activation and proliferation, production of proinflammatory cytokines, and plasma SIV RNA levels. This study directly demonstrates that microbial translocation promotes the systemic immune activation associated with HIV-1/SIV infection.

Indexed as

AnimalsBacterial TranslocationHumansPolyaminesSevelamerSimian Acquired Immunodeficiency SyndromePolyaminesSevelamer

Identifiers

PMID24837427
PMCPMC4089457
OpenAlexW2166124362

What OpenQuestion holds

Textmetadata
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.