Evidence map›Paper›PMID 34263256›Full record

ArticleJournal of cellular signaling2021

Effects of a CB

Yaliang Tang, Barbara Wolk, Debra A Kendall

Open access · hybridAbstract read
In one paragraph

Article in Journal of cellular signaling, 2021. 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
0.3field-weighted citation impact, top 39% 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, 2 citations in OpenAlex.

  1. Article
  2. The Impact of the CBMolecules (Basel, Switzerland) · 2024
    Review
  3. Review
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.

Yaliang TangDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, Connecticut 06269, USA.
Barbara WolkDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, Connecticut 06269, USA.
Debra A KendallDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, Connecticut 06269, USA.
University of Connecticut · US

Funding

Beta-Arrestin Signaling from the Cannabinoid 2 and mu Opioid ReceptorsR21DA040920 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI KENDALL, DEBRA A · 2016 to 2017
$439k
NIDA NIH HHS R21 DA040920
6 · The paper itself

Abstract

BACKGROUND AND

objectivesNeuroinflammation is closely associated with various diseases including neuropathic pain. Microglia are immune cells in the central nervous system which are the main players of immunity and inflammation. Since microglia are activated by nerve injury, and they produce proinflammatory mediators to cause neuropathic pain, targeting activated microglia is considered to be a strategy for treating neuropathic pain. Activation of the cannabinoid CB

methodsA cytokine array was performed to screen the effect of ABK5-1 on forty inflammatory mediators in BV-2 cells. Changes of the inflammatory mediators was further supported by mRNA analysis, and a possible signaling molecule that involved the observation was evaluated by western blot.

resultsStimulating BV-2 cells by lipopolysaccharide increased expression of eleven inflammatory mediators, and ABK5-1 treatment resulted in more than a 50% decrease of sICAM1, IL-6, and RANTES. Real-time PCR results showed a decrease of G-CSF, ICAM1, MCP-1, MIP-1α, and MIP-1β mRNA levels. Western blot analysis showed that ABK5-1 inhibited LPS-induced ERK phosphorylation, which can be a mechanism of ABK5-1-mediated anti-inflammatory effect.

conclusionsOur current results support the possibility that ABK5-1 is an anti-inflammatory drug for microglia.

Indexed as

CB2 receptorChemokinesCytokinesInflammationMicroglia

Identifiers

PMID34263256
PMCPMC8276972
OpenAlexW3163322953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.