Evidence map›Paper›PMID 36842270›Full record

ArticleVirology2023

Secreted factors induced by PKC modulators do not indirectly cause HIV latency reversal.

Jose A Moran, Alok Ranjan, Rami Hourani, Jocelyn T Kim, Paul A Wender, Jerome A Zack, Matthew D Marsden

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology, 2023. 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
0.4field-weighted citation impact, top 42% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 1 country.

Jose A MoranDepartment of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, CA, 92697, USA.
Alok RanjanDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA; Department of Systems and Chemical Biology, Stanford University, Stanford, CA, 94305, USA.
Rami HouraniDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA; Department of Systems and Chemical Biology, Stanford University, Stanford, CA, 94305, USA.
Jocelyn T KimDepartment of Medicine, Division of Infectious Diseases, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Paul A WenderDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA; Department of Systems and Chemical Biology, Stanford University, Stanford, CA, 94305, USA.
Jerome A ZackDepartment of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA; Department of Medicine, Division of Hematology and Oncology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Matthew D MarsdenDepartment of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, CA, 92697, USA; Department of Medicine (Division of Infectious Diseases), School of Medicine, University of California Irvine, CA, 92697, USA. Electronic address: mdmarsde@hs.uci.edu.
Stanford University · USUniversity of California, Irvine · USUniversity of California, Los Angeles · US

Funding

Viral Genetics CoreP01AI131294 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 2017 to 2021
$7.5M
SYNTHETIC STUDIES RELATED TO CANCER RESEARCH/TREATMENTR01CA031845 · NCI · STANFORD UNIVERSITY · PI PAUL Anthony WENDER · 1985 to 2026
$6.9M
Synthetic Studies Related to Cancer Research/TreatmentR37CA031845 · NCI · STANFORD UNIVERSITY · PI WENDER, PAUL ANTHONY · 2006 to 2015
$4.5M
Virus-host interactions: a multi-scale training programT32AI007319 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SEMLER, BERT L, SHI, YONGSHENG · 1988 to 2024
$2.4M
The Effect of Natural Killer Cell-Based Therapy on the HIV ReservoirK08AI155232 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KIM, JOCELYN T · 2020 to 2024
$1.0M
HIV Latency Reversal Through Novel, Potent PKC ModulatorsR56AI124743 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WENDER, PAUL ANTHONY, ZACK, JEROME A. · 2021 to 2021
$798k
NCI NIH HHS R01 CA031845NCI NIH HHS R37 CA031845NIAID NIH HHS K08 AI155232NIAID NIH HHS P01 AI131294NIAID NIH HHS R56 AI124743NIAID NIH HHS T32 AI007319
6 · The paper itself

Abstract

HIV can establish a long-lived latent infection in cells harboring integrated non-expressing proviruses. Latency reversing agents (LRAs), including protein kinase C (PKC) modulators, can induce expression of latent HIV, thereby reducing the latent reservoir in animal models. However, PKC modulators such as bryostatin-1 also cause cytokine upregulation in peripheral blood mononuclear cells (PBMCs), including cytokines that might independently reverse HIV latency. To determine whether cytokines induced by PKC modulators contribute to latency reversal, primary human PBMCs were treated with bryostatin-1 or the bryostatin analog SUW133, a superior LRA, and supernatant was collected. As anticipated, LRA-treated cell supernatant contained increased levels of cytokines compared to untreated cell supernatant. However, exposure of latently-infected cells with this supernatant did not result in latency reactivation. These results indicate that PKC modulators do not have significant indirect effects on HIV latency reversal in vitro and thus are targeted in their latency reversing ability.

Indexed as

HIV-1HIV InfectionsAnimalsBryostatinsCD4-Positive T-LymphocytesCytokinesHumansLeukocytes, MononuclearVirus ActivationVirus Latencybryostatin 1BryostatinsCytokinesBryostatin-1HIVKick-and-kill approachLatency reversalPKC modulatorsSUW133

Identifiers

PMID36842270
PMCPMC10103183
OpenAlexW4321114185

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.