Evidence map›Paper›PMID 26690128›Full record

ReviewInternational journal of molecular sciences2015

Mast Cell-Mediated Mechanisms of Nociception.

Anupam Aich, Lawrence B Afrin, Kalpna Gupta

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
–field-weighted citation impact
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

77 citing papers in PubMed.

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17 more citing papers are in PubMed but not listed here.

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.

Anupam AichVascular Biology Center, Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA. aaich@umn.edu.
Lawrence B AfrinVascular Biology Center, Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA. afrinl@umn.edu.
Kalpna GuptaVascular Biology Center, Division of Hematology, Oncology and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA. gupta014@umn.edu.

Funding

Cannabinoid-based therapy and approaches to quantify pain in sickle cell diseaseU01HL117664 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA · 2013 to 2018
$9.6M
Characteristics and mechanisms of pain in sickle cell diseaseR01HL103733 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA, SIMONE, DONALD · 2010 to 2014
$1.9M
NHLBI NIH HHS R01 HL103733NHLBI NIH HHS U01 HL117664PHS HHS R01 103773
6 · The paper itself

Abstract

Mast cells are tissue-resident immune cells that release immuno-modulators, chemo-attractants, vasoactive compounds, neuropeptides and growth factors in response to allergens and pathogens constituting a first line of host defense. The neuroimmune interface of immune cells modulating synaptic responses has been of increasing interest, and mast cells have been proposed as key players in orchestrating inflammation-associated pain pathobiology due to their proximity to both vasculature and nerve fibers. Molecular underpinnings of mast cell-mediated pain can be disease-specific. Understanding such mechanisms is critical for developing disease-specific targeted therapeutics to improve analgesic outcomes. We review molecular mechanisms that may contribute to nociception in a disease-specific manner.

Indexed as

NociceptionAnemia, Sickle CellAnimalsCytokinesHumansHyperalgesiaInflammationMast CellsMigraine DisordersNeoplasmsPainCytokinescancercytokineshyperalgesiainflammationmast cellsmigrainepainsickle cell diseasesubstance Ptryptase

Identifiers

PMID26690128
PMCPMC4691098

What OpenQuestion holds

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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.