Evidence map›Paper›PMID 28097226›Full record

ArticleJCI insight2017

IFITM1 targets HIV-1 latently infected cells for antibody-dependent cytolysis.

Rui André Saraiva Raposo, Miguel de Mulder Rougvie, Dominic Paquin-Proulx, Phillip M Brailey, Vinicius D Cabido, Paul M Zdinak, Allison S Thomas, Szu-Han Huang, Greta A Beckerle, Richard B Jones and 1 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. SERPING1 mRNA overexpression in monocytes from HIV+ patients.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Article
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

11 authors at 1 institution in 1 country.

Rui André Saraiva Raposo
Miguel de Mulder Rougvie
Dominic Paquin-Proulx
Phillip M Brailey
Vinicius D Cabido
Paul M Zdinak
Allison S Thomas
Szu-Han Huang
Greta A Beckerle
Richard B Jones
Douglas F Nixon
George Washington University · US

Funding

SWG 2: Cure Research Scientific Working GroupP30AI117970 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI MICHAEL Ilya BUKRINSKY · 2015 to 2026
$29.6M
BELIEVE: Bench to Bed Enhanced Lymphocyte Infusions to Engineer Viral EradicationUM1AI126617 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI JONES, R. BRAD, NIXON, DOUGLAS F · 2016 to 2020
$28.1M
The District of Columbia Developmental Center for AIDS Research (DC D-CFAR)P30AI087714 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI GREENBERG, ALAN EDWARD · 2010 to 2014
$8.4M
A novel APOBEC-based vaccine approach for HIVR33AI093179 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI NIXON, DOUGLAS F · 2014 to 2015
$1.5M
Acquisition of the BioRad QX200 AutoDG Droplet Digital PCR SystemS10OD021622 · OD · GEORGE WASHINGTON UNIVERSITY · PI JONES, R. BRAD · 2016 to 2016
$125k
NIAID NIH HHS P30 AI087714NIAID NIH HHS P30 AI117970NIAID NIH HHS R33 AI093179NIAID NIH HHS UM1 AI126617NIH HHS S10 OD021622
6 · The paper itself

Abstract

HIV-1 persistence in latent reservoirs during antiretroviral therapy (ART) is the main obstacle to virus eradication. To date, there is no marker that adequately identifies latently infected CD4

Indexed as

Antibody-Dependent Cell CytotoxicityAntigens, DifferentiationAnti-Retroviral AgentsCD4-Positive T-LymphocytesHIV-1HIV InfectionsHumansAntigens, DifferentiationAnti-Retroviral Agentsleu-13 antigen

Identifiers

PMID28097226
PMCPMC5214598
OpenAlexW2572336098

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.