Evidence map›Paper›PMID 20657751›Full record

ArticleExpert opinion on drug discovery2009

Dorsal Root Ganglia Sensory Neuronal Cultures: a tool for drug discovery for peripheral neuropathies.

Giorgia Melli, Ahmet Höke

Open access · greenAbstract read
In one paragraph

Article in Expert opinion on drug discovery, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

76 citing papers in PubMed, 138 citations in OpenAlex.

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  7. In Vitro Models for Peripheral Nerve Regeneration.Advanced healthcare materials · 2024
    Review
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  17. Generation of anMolecular genetics and metabolism reports · 2022
    Article
  18. Review
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16 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

2 authors at 2 institutions in 2 countries.

Giorgia MelliIstituto Nazionale Neurologico Carlo Besta, Milano, Italy.
Ahmet Höke
Fondazione IRCCS Istituto Neurologico Carlo Besta · ITJohns Hopkins University · US

Funding

HIV and antiretroviral toxic neuropathyR01NS043991 · NINDS · JOHNS HOPKINS UNIVERSITY · PI HOKE, AHMET · 2002 to 2011
$3.4M
NINDS NIH HHS R01 NS043991
6 · The paper itself

Abstract

backgroundPeripheral neuropathies affect many people worldwide and are caused by or associated with a wide range of conditions, both genetic and acquired. Current therapies are directed at symptomatic control because no effective regenerative treatment exists. Primary challenge is that mechanisms that lead to distal axonal degeneration, a common feature of all peripheral neuropathies, are largely unknown. OBJECTIVE/

methodsTo address the role and specific characteristics of dorsal root ganglia (DRG) derived sensory neuron culture system as a useful model in evaluating the pathogenic mechanisms of peripheral neuropathies and examination and validation of potential therapeutic compounds. A thorough review of the recent literature was completed and select examples of the use of DRG neurons in different peripheral neuropathy models were chosen to highlight the utility of these cultures.

conclusionMany useful models of different peripheral neuropathies have been developed using DRG neuronal culture and potential therapeutic targets have been examined, but so far none of the potential therapeutic compounds have succeeded in clinical trials. In recent years, focus has changed to evaluation of axon degeneration as the primary outcome measure advocating a drug development strategy starting with phenotypic drug screening, followed by validation in primary complex co-cultures and animal models.

Identifiers

PMID20657751
PMCPMC2908326
OpenAlexW1992875946

What OpenQuestion holds

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Registered trials

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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.