Evidence map›Paper›PMID 27888531›Full record

ReviewGlia2017

Fate of microglia during HIV-1 infection: From activation to senescence?

Natalie C Chen, Andrea T Partridge, Christian Sell, Claudio Torres, Julio Martín-García

Abstract readReview
In one paragraph

Review in Glia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

70 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Involvement of lncRNA TUG1 in HIV-1 Tat-Induced Astrocyte Senescence.International journal of molecular sciences · 2023
    Article
  18. Article
  19. Article
  20. Review

10 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Natalie C ChenDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania.
Andrea T PartridgeDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania.
Christian SellDepartment of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania.
Claudio TorresDepartment of Pathology and Laboratory Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania.
Julio Martín-GarcíaDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, Pennsylvania.ORCID 0000-0001-5450-5029
Drexel University · USInstitute for Molecular Medicine · US

Funding

Viral Gene Editing and Bioinformatics Core for Institution # 269291P30MH092177 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI SHOHREH AMINI · 2011 to 2026
$24.9M
Epigenetic Changes associated with Neurodegenerative DiseasesR01NS078283 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BERGER, SHELLEY L, BONINI, NANCY M · 2012 to 2016
$3.3M
Brain HIV-1 isolates/envelopes: CD4 dependence, fusogenicity and neurotoxicityR01NS065727 · NINDS · DREXEL UNIVERSITY · PI MARTIN-GARCIA, JULIO · 2009 to 2013
$2.1M
Senescent neurons in the human brain: A link between aging and HIVR21AG046943 · NIA · DREXEL UNIVERSITY · PI TORRES, CLAUDIO AURELIO · 2014 to 2015
$423k
miR-155 regulation of cellular susceptibility to HIV-1 infectionR21AI098549 · NIAID · DREXEL UNIVERSITY · PI MARTIN-GARCIA, JULIO · 2012 to 2013
$413k
NIAID NIH HHS R21 AI098549NIA NIH HHS R21 AG046943NIMH NIH HHS P30 MH092177NINDS NIH HHS R01 NS065727NINDS NIH HHS R01 NS078283
6 · The paper itself

Abstract

Microglia support productive human immunodeficiency virus type 1 (HIV-1) infection and disturbed microglial function could contribute to the development of HIV-associated neurocognitive disorders (HAND). Better understanding of how HIV-1 infection and viral protein exposure modulate microglial function during the course of infection could lead to the identification of novel therapeutic targets for both the eradication of HIV-1 reservoir and treatment of neurocognitive deficits. This review first describes microglial origins and function in the normal central nervous system (CNS), and the changes that occur during aging. We then critically discuss how HIV-1 infection and exposure to viral proteins such as Tat and gp120 affect various aspects of microglial homeostasis including activation, cellular metabolism and cell cycle regulation, through pathways implicated in cellular stress responses including p38 mitogen-activated protein kinase (MAPK) and nuclear factor κB (NF-κB). We thus propose that the functions of human microglia evolve during both healthy and pathological aging. Aging-associated dysfunction of microglia comprises phenotypes resembling cellular senescence, which could contribute to cognitive impairments observed in various neurodegenerative diseases. In addition, microglia seems to develop characteristics that could be related to cellular senescence post-HIV-1 infection and after exposure to HIV-1 viral proteins. However, despite its potential role as a component of HAND and likely other neurocognitive disorders, microglia senescence has not been well characterized and should be the focus of future studies, which could have high translational relevance. GLIA 2017;65:431-446.

Indexed as

AgingAnimalsHIV InfectionsHumansMicrogliaMitogen-Activated Protein Kinase KinasesNF-kappa BMitogen-Activated Protein Kinase KinasesNF-kappa Bcellular senescencechronic infectionHANDmicroglia dysfunction

Identifiers

PMID27888531
PMCPMC5263094
OpenAlexW2559384874

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.