Evidence map›Paper›PMID 27547177›Full record

ArticleFrontiers in cellular neuroscience2016

The Isotropic Fractionator as a Tool for Quantitative Analysis in Central Nervous System Diseases.

Ivan E Repetto, Riccardo Monti, Marta Tropiano, Simone Tomasi, Alessia Arbini, Carlos-Humberto Andrade-Moraes, Roberto Lent, Alessandro Vercelli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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  5. Quaternary Structure Changes for PrPMolecular neurobiology · 2021
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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 4 institutions in 3 countries.

Ivan E RepettoNeuroscience Institute Cavalieri Ottolenghi, Department of Neuroscience, University of Turin Turin, Italy.
Riccardo MontiNeuroscience Institute Cavalieri Ottolenghi, Department of Neuroscience, University of Turin Turin, Italy.
Marta TropianoNeuroscience Institute Cavalieri Ottolenghi, Department of Neuroscience, University of Turin Turin, Italy.
Simone TomasiChild Study Center, Yale School of Medicine, New Haven CT, USA.
Alessia ArbiniNeuroscience Institute Cavalieri Ottolenghi, Department of Neuroscience, University of Turin Turin, Italy.
Carlos-Humberto Andrade-MoraesFederal University of Rio de Janeiro Medical School, Macaé Campus Rio de Janeiro, Brazil.
Roberto LentInstitute of Biomedical Sciences, Federal University of Rio de Janeiro Rio de Janeiro, Brazil.
Alessandro VercelliNeuroscience Institute Cavalieri Ottolenghi, Department of Neuroscience, University of Turin Turin, Italy.
University of Turin · ITNeuroscience Institute · ITUniversidade Federal do Rio de Janeiro · BRYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One major aim in quantitative and translational neuroscience is to achieve a precise and fast neuronal counting method to work on high throughput scale to obtain reliable results. Here, we tested the isotropic fractionator (IF) method for evaluating neuronal and non-neuronal cell loss in different models of central nervous system (CNS) pathologies. Sprague-Dawley rats underwent: (i) ischemic brain damage; (ii) intraperitoneal injection with kainic acid (KA) to induce epileptic seizures; and (iii) monolateral striatal injection with quinolinic acid (QA) mimicking human Huntington's disease. All specimens were processed for IF method and cell loss assessed. Hippocampus from KA-treated rats and striatum from QA-treated rats were carefully dissected using a dissection microscope and a rat brain matrix. Ischemic rat brains slices were first processed for TTC staining and then for IF. In the ischemic group the cell loss corresponded to the neuronal loss suggesting that hypoxia primarily affects neurons. Combining IF with TTC staining we could correlate the volume of lesion to the neuronal loss; by IF, we could assess that neuronal loss also occurs contralaterally to the ischemic side. In the epileptic group we observed a reduction of neuronal cells in treated rats, but also evaluated the changes in the number of non-neuronal cells in response to the hippocampal damage. In the QA model, there was a robust reduction of neuronal cells on ipsilateral striatum. This neuronal cell loss was not related to a drastic change in the total number of cells, being overcome by the increase in non-neuronal cells, thus suggesting that excitotoxic damage in the striatum strongly activates inflammation and glial proliferation. We concluded that the IF method could represent a simple and reliable quantitative technique to evaluate the effects of experimental lesions mimicking human diseases, and to consider the neuroprotective/anti-inflammatory effects of different treatments in the whole brain and also in discrete regions of interest, with the potential to investigate non-neuronal alterations. Moreover, IF could be used in addition or in substitution to classical stereological techniques or TTC staining used so far, since it is fast, precise and easily combined with complex molecular analysis.

Indexed as

cerebral ischemiaepilepsyisotropic fractionatorneuroprotectionstriatal lesion

Identifiers

PMID27547177
PMCPMC4974250
OpenAlexW2489518647

What OpenQuestion holds

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LicenceCC BY
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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.