Evidence map›Paper›PMID 22477441›Full record

ReviewImmunologic research2012

T cell virological synapses and HIV-1 pathogenesis.

Benjamin K Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Virus-Induced Cell Fusion and Syncytia Formation.Results and problems in cell differentiation · 2024
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  2. Review
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  7. APOBEC3 Proteins in Viral Immunity.Journal of immunology (Baltimore, Md. : 1950) · 2015
    Review
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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 at 1 institution in 1 country.

Benjamin K ChenDivision of Infectious Disease, Department of Medicine, Immunology Institute, Mount Sinai School of Medicine, One Gustave Levy Place, Box 1630, New York, NY 10029, USA. ben.chen@mssm.edu
Mount Sinai Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus type 1 is the cause of a modern global pandemic associated with progressive acquired immune deficiency. The infection is characterized by the loss of the primary target of viral infection, the CD4+ T cell. The measurement of plasma viremia in patients can predict the rate of CD4+ cell decline; however, it is not clear whether this cell-free plasma virus represents the engine that drives viral spread. Active viral replication is mainly observed within lymphoid tissues that are hotbeds of cell-cell interactions that initiate and organize immune responses. It is well established that cell-cell interactions enhance viral spread in vitro. Dendritic cell-T cell interactions, which lie at the heart of adaptive immune responses, enhance viral infection in vitro. Interactions between infected and uninfected CD4+ T cells are a dominant route of viral spread in vitro and are likely to play a central role in viral dissemination in vivo. Future studies will test existing paradigms of HIV-1 dissemination to determine whether virus-transmitting contacts between infected and uninfected T cells called virological synapses are the dominant mode of viral spread in vivo. Here, we review the status of our understanding of this mode of infection with a focus on T cell-T cell interactions and examine how it may explain resistance to neutralizing antibodies and or the generation of genetic diversity of HIV.

Indexed as

CD4-Positive T-LymphocytesHIV-1HIV InfectionsHumansImmunological SynapsesVirus Replication

Identifiers

PMID22477441
OpenAlexW2022606730

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.