Evidence map›Paper›PMID 32284948›Full record

ArticleOpen forum infectious diseases2020

A Comparison of Different Immune Activation Strategies to Reverse HIV-1 Latency.

Caroline C Garliss, Abena K Kwaa, Joel N Blankson

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Caroline C GarlissCenter for AIDS Research, Department of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA.
Abena K KwaaCenter for AIDS Research, Department of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA.
Joel N BlanksonCenter for AIDS Research, Department of Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA.
Johns Hopkins Medicine · US

Funding

Optimization of high throughput viral outgrowth assays for the detection of HIV-1 reservoirsR01AI140789 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BLANKSON, JOEL N · 2018 to 2021
$1.6M
NIAID NIH HHS R01 AI140789
6 · The paper itself

Abstract

Resting CD4+ T cells are the best characterized component of the latent reservoir. Activation of these CD4+ T cells is needed to optimize transcription and viral replication, and this strategy has been used to measure the inducible reservoir. There are several methods that can be used to activate CD4+ T cells, and in this study, we compared 3 different strategies: the combination of the lectin phytohaemagglutinin (PHA) and irradiated allogeneic feeders, a combination of PHA and a superagonistic anti-CD28 antibody, and the combination of the protein kinase C agonist phorbol 12-myristate 13-acetate and the calcium ionophore ionomycin. We show that each strategy induces a different pattern of expression of activation markers on CD4+ T cells. However, the different activation strategies induced similar frequencies of latently infected CD4+ T cells from people living with HIV on suppressive antiretroviral therapy regimens to produce replication-competent virus. Furthermore, the frequency of infectious units per million induced by each regimen was positively correlated with the copies of intact proviral DNA per million CD4+ T cells. Our results suggest that no single pattern of activation marker expression is most associated with latency reversal and demonstrate that different immune activation strategies reverse latency in a low frequency of CD4+ T cells that harbor intact proviral DNA.

Indexed as

culture assaycureHIVlatency

Identifiers

PMID32284948
PMCPMC7139987
OpenAlexW3009799602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.