Evidence map›Paper›PMID 32380144›Full record

ArticleNeuroscience letters2020

Alterations in mouse spinal cord and sciatic nerve microRNAs after the chronic constriction injury (CCI) model of neuropathic pain.

Jenny L Wilkerson, Jinmai Jiang, Jasmine S Felix, Julie K Bray, Lais da Silva, Raad Z Gharaibeh, Lance R McMahon, Thomas D Schmittgen

Open access · greenAbstract read
In one paragraph

Article in Neuroscience letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  7. The role of non-coding RNAs in neuropathic pain.Pflugers Archiv : European journal of physiology · 2024
    Review
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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

8 authors at 1 institution in 1 country.

Jenny L WilkersonDepartment of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL, USA. Electronic address: jenny.wilkerson@cop.ufl.edu.
Jinmai JiangDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Jasmine S FelixDepartment of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Julie K BrayDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Lais da SilvaDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Raad Z GharaibehDepartment of Medicine, University of Florida, Gainesville, FL, USA.
Lance R McMahonDepartment of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Thomas D SchmittgenDepartment of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, USA. Electronic address: tschmittgen@ufl.edu.
University of Florida · US

Funding

Opioid use disorders: UF Pharmacy medications discovery and developmentUG3DA048353 · NIDA · UNIVERSITY OF FLORIDA · PI MCCURDY, CHRISTOPHER R, MCMAHON, LANCE R. · 2019 to 2020
$3.6M
Kratom alkaloids: in vitro and in vivo pharmacological mechanismsR01DA047855 · NIDA · UNIVERSITY OF FLORIDA · PI MCCURDY, CHRISTOPHER R, MCMAHON, LANCE R. · 2019 to 2023
$3.6M
Nicotine dependence: neuropharmacology in monkeysR01DA025267 · NIDA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MCMAHON, LANCE R. · 2009 to 2018
$3.4M
The Novel Role of REST in the Development of Pancreatic Ductal AdenocarcinomaF31CA220937 · NCI · UNIVERSITY OF FLORIDA · PI BRAY, JULIE · 2017 to 2019
$99k
NCI NIH HHS F31 CA220937NIDA NIH HHS R01 DA025267NIDA NIH HHS R01 DA047855NIDA NIH HHS UG3 DA048353
6 · The paper itself

Abstract

Pain is one of the most common reasons to seek medical attention and chronic pain is a worldwide epidemic. There are currently no relevant biomarkers for the diagnosis of chronic pain, and new therapeutic strategies for chronic pain treatment are desperately needed. The chronic constriction injury (CCI) of the sciatic nerve is a widely used preclinical model of pathological neuropathic pain. Over the past decade, investigators have come to appreciate the many contributions of noncoding RNA including microRNA (miRNA), and other long and short noncoding (nc) RNAs. The development and/or maintenance of chronic pain could be controlled epigenetically through ncRNAs. Here we seek to characterize CNS tissues in a mouse model of neuropathic pain as this may serve to elucidate potential biomarkers relevant to pathological pain in humans. Male C57BL6/J mice (6 CCI and 6 sham procedure) underwent surgery for sciatic nerve ligation with chromic gut sutures. Following 7 days, mechanical allodynia was quantified using the von Frey assay. Mice were then euthanized for collection of spinal cord and sciatic nerve. cDNA was synthesized to 627 unique mature miRNAs from the total RNA. In the CCI mice that displayed mechanical allodynia, 11 and 125 miRNAs were differentially expressed (i.e., greater than 1.5-fold increase or decrease; P < 0.05) in the spinal cord and sciatic nerve, respectively, as compared to sham controls. Among those differentially expressed miRNAs in the sciatic nerve of CCI mice, the following passed the more stringent Bonfferoni correction: miR-138-3p, miR-138-5p and miR-676-3p, reduced and miR-142-5p, increased. Our data support miRNAs as promising therapeutic targets for the treatment of pathological pain.

Indexed as

AnimalsChronic PainDisease Models, AnimalHyperalgesiaMaleMice, Inbred C57BLMicroRNAsNeuralgiaSciatic NerveSpinal CordMicroRNAsAllodyniamiRNANoncoding RNA

Identifiers

PMID32380144
PMCPMC7339614
OpenAlexW3023995629

What OpenQuestion 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 OpenQuestion graph.