Evidence map›Paper›PMID 25933119›Full record

ArticlePloS one2015

SIV Infection of Lung Macrophages.

Yue Li, Guobin Kang, Lijie Duan, Wuxun Lu, Michael G Katze, Mark G Lewis, Ashley T Haase, Qingsheng Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. CD4+ T-cell-independent mechanisms suppress reactivation of latent tuberculosis in a macaque model of HIV coinfection.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Article
  12. 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

8 authors at 4 institutions in 2 countries.

Yue LiCollege of Life Sciences, Nankai University, Tianjin, People's Republic of China; Nebraska Center for Virology, School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
Guobin KangNebraska Center for Virology, School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
Lijie DuanDepartment of Microbiology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Wuxun LuNebraska Center for Virology, School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
Michael G KatzeWashington National Primate Research Center, Seattle, Washington, United States of America; Department of Microbiology, School of Medicine, University of Washington, Seattle, Washington, United States of America.
Mark G LewisBIOQUAL, Inc., 9600 Medical Center Drive, Rockville, Maryland, United States of America.
Ashley T HaaseDepartment of Microbiology, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Qingsheng LiNebraska Center for Virology, School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
University of Nebraska–Lincoln · USUniversity of Minnesota Medical Center · USBioqual · USUniversity of Washington · US

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Supplement: Fogarty Training in HIV- and AIDS Associated Diseases/MalignanciesD43TW001429 · FIC · UNIVERSITY OF NEBRASKA LINCOLN · PI WOOD, CHARLES · 2000 to 2015
$7.2M
The Early Events Determining SIV Rectal TransmissionR01DK087625 · NIDDK · UNIVERSITY OF NEBRASKA LINCOLN · PI LI, QINGSHENG · 2010 to 2013
$1.4M
FIC NIH HHS D43 TW001429NIDDK NIH HHS DK087625NIDDK NIH HHS R01 DK087625NIH HHS P51 OD010425
6 · The paper itself

Abstract

HIV-1 depletes CD4+ T cells in the blood, lymphatic tissues, gut and lungs. Here we investigated the relationship between depletion and infection of CD4+ T cells in the lung parenchyma. The lungs of 38 Indian rhesus macaques in early to later stages of SIVmac251 infection were examined, and the numbers of CD4+ T cells and macrophages plus the frequency of SIV RNA+ cells were quantified. We showed that SIV infected macrophages in the lung parenchyma, but only in small numbers except in the setting of interstitial inflammation where large numbers of SIV RNA+ macrophages were detected. However, even in this setting, the number of macrophages was not decreased. By contrast, there were few infected CD4+ T cells in lung parenchyma, but CD4+ T cells were nonetheless depleted by unknown mechanisms. The CD4+ T cells in lung parenchyma were depleted even though they were not productively infected, whereas SIV can infect large numbers of macrophages in the setting of interstitial inflammation without depleting them. These observations point to the need for future investigations into mechanisms of CD4+ T cell depletion at this mucosal site, and into mechanisms by which macrophage populations are maintained despite high levels of infection. The large numbers of SIV RNA+ macrophages in lungs in the setting of interstitial inflammation indicates that lung macrophages can be an important source for SIV persistent infection.

Indexed as

AnimalsCD4 Lymphocyte CountCD4-Positive T-LymphocytesImmune EvasionImmunohistochemistryLungLymphocyte DepletionMacaca mulattaMacrophages, AlveolarRNA, ViralSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency VirusTime FactorsViral LoadRNA, Viral

Identifiers

PMID25933119
PMCPMC4416753
OpenAlexW2077071420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.