Evidence map›Paper›PMID 33735754›Full record

ArticleVirology2021

Discovery of candidate HIV-1 latency biomarkers using an OMICs approach.

Michael Belshan, Alexander Holbrook, Joseph W George, Hannah E Durant, Michael Callahan, Spencer Jaquet, John T West, Jacob Siedlik, Pawel Ciborowski

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.0field-weighted citation impact, top 5% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Michael BelshanDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, NE, USA. Electronic address: michaelbelshan@creighton.edu.
Alexander HolbrookDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, NE, USA.
Joseph W GeorgeDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, NE, USA.
Hannah E DurantDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, NE, USA.
Michael CallahanDepartment of Medical Microbiology and Immunology, Creighton University, Omaha, NE, USA.
Spencer JaquetDepartment of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA.
John T WestDepartment of Biochemistry, And the Nebraska Center for Virology, University of Nebraska, Lincoln, NE, USA.
Jacob SiedlikDepartment of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA.
Pawel CiborowskiDepartment of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA.
Creighton University · USUniversity of Nebraska Medical Center · USUniversity of Nebraska–Lincoln · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI FOX, HOWARD S · 2000 to 2021
$37.7M
Macrophage, Meth, HIV and Histones: An InterplayR01DA043258 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CIBOROWSKI, PAWEL S, FOX, HOWARD S · 2016 to 2020
$3.1M
NIDA NIH HHS R01 DA043258NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

Infection with HIV-1 remains uncurable due to reservoirs of latently infected cells. Any potential cure for HIV will require a mechanism to identify and target these cells in vivo. We created a panel of Jurkat cell lines latently infected with the HIV DuoFlo virus to identify candidate biomarkers of latency. SWATH mass spectrometry was used to compare the membrane proteomes of one of the cell lines to parental Jurkat cells. Several candidate proteins with significantly altered expression were identified. The differential expression of several candidates was validated in multiple latently infected cell lines. Three factors (LAG-3, CD147,CD231) were altered across numerous cell lines, but the expression of most candidate biomarkers was variable. These results confirm that phenotypic differences in latently infected cells exists and identify additional novel biomarkers. The variable expression of biomarkers across different cell clones suggests universal antigen-based detection of latently infected cells may require a multiplex approach.

Indexed as

Virus LatencyBiomarkersCell LineHIV-1HumansJurkat CellsMass SpectrometryProteomicsT-LymphocytesU937 CellsBiomarkersBiomarker discoveryHIVLatencyProteomicsSWATH-MS

Identifiers

PMID33735754
PMCPMC10171037
OpenAlexW3136303747

What Socratic 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 Socratic graph.