Evidence map›Paper›PMID 21718317›Full record

ArticleJournal of medical primatology2011

A divergent myeloid dendritic cell response at virus set-point predicts disease outcome in SIV-infected rhesus macaques.

S M Barratt-Boyes, V Wijewardana

Open access · greenAbstract read
In one paragraph

Article in Journal of medical primatology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Simian immunodeficiency virus interactions with macaque dendritic cells.Advances in experimental medicine and biology · 2013
    Review
  4. Article
  5. Review
  6. Article
  7. 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

2 authors at 1 institution in 1 country.

S M Barratt-BoyesCenter for Vaccine Research, University of Pittsburgh, PA, USA. smbb@pitt.edu
V Wijewardana
University of Pittsburgh · US

Funding

Dendritic Cell Dynamics in Peripheral and Lymphoid Tissues in SIV InfectionR01AI071777 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BARRATT-BOYES, SIMON M · 2007 to 2016
$6.0M
NIAID NIH HHS AI071777NIAID NIH HHS R01 AI071777
6 · The paper itself

Abstract

backgroundThe mechanism for loss of myeloid dendritic cells (mDCs) from the circulation in HIV-infected individuals and its relationship to disease progression is not understood.

methodsA longitudinal analysis of the mDC response in blood and lymph nodes during the first 12 weeks of infection was performed in a cohort of SIVmac251-infected rhesus macaques with different disease outcomes.

resultsMonkeys that rapidly progressed to disease or had long-term stable infection had significant losses or increases, respectively, in blood mDCs that were inversely correlated with virus load at set-point. The loss of mDCs from progressor animals was associated with evidence of an increase in CCR7/CCL19-dependent mDC recruitment to lymph nodes and an increase in mDC apoptosis.

conclusionsmDC recruitment to and death within inflamed lymph nodes may contribute to disease progression in SIV infection, whereas mobilization without increased recruitment to lymph nodes may promote disease control.

Indexed as

Acquired Immunodeficiency SyndromeAnimalsApoptosisCD4-Positive T-LymphocytesCohort StudiesDendritic CellsDisease Models, AnimalDisease ProgressionLongitudinal StudiesLymph NodesMacaca mulattaMyeloid CellsPredictive Value of TestsSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency VirusViral Load

Identifiers

PMID21718317
PMCPMC3151611
OpenAlexW1919576201

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.