Evidence map›Paper›PMID 26582988›Full record

ArticleFrontiers in aging neuroscience2015

Neurostereology protocol for unbiased quantification of neuronal injury and neurodegeneration.

Victoria M Golub, Jonathan Brewer, Xin Wu, Ramkumar Kuruba, Jenessa Short, Maunica Manchi, Megan Swonke, Iyan Younus, Doodipala Samba Reddy

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  16. A Novel SmallCells · 2023
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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

9 authors.

Victoria M GolubDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Jonathan BrewerDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Xin WuDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Ramkumar KurubaDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Jenessa ShortDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Maunica ManchiDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Megan SwonkeDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Iyan YounusDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.
Doodipala Samba ReddyDepartment of Neuroscience and Experimental Therapeutics, Texas A&M University Health Science Center, College of Medicine Bryan, TX, USA.

Funding

Neurosteroid Treatment for OP IntoxicationU01NS083460 · NINDS · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI REDDY, DOODIPALA SAMBA · 2013 to 2017
$3.4M
NINDS NIH HHS U01 NS083460
6 · The paper itself

Abstract

Neuronal injury and neurodegeneration are the hallmark pathologies in a variety of neurological conditions such as epilepsy, stroke, traumatic brain injury, Parkinson's disease and Alzheimer's disease. Quantification of absolute neuron and interneuron counts in various brain regions is essential to understand the impact of neurological insults or neurodegenerative disease progression in animal models. However, conventional qualitative scoring-based protocols are superficial and less reliable for use in studies of neuroprotection evaluations. Here, we describe an optimized stereology protocol for quantification of neuronal injury and neurodegeneration by unbiased counting of neurons and interneurons. Every 20th section in each series of 20 sections was processed for NeuN(+) total neuron and parvalbumin(+) interneuron immunostaining. The sections that contain the hippocampus were then delineated into five reliably predefined subregions. Each region was separately analyzed with a microscope driven by the stereology software. Regional tissue volume was determined by using the Cavalieri estimator, as well as cell density and cell number were determined by using the optical disector and optical fractionator. This protocol yielded an estimate of 1.5 million total neurons and 0.05 million PV(+) interneurons within the rat hippocampus. The protocol has greater predictive power for absolute counts as it is based on 3D features rather than 2D images. The total neuron counts were consistent with literature values from sophisticated systems, which are more expensive than our stereology system. This unbiased stereology protocol allows for sensitive, medium-throughput counting of total neurons in any brain region, and thus provides a quantitative tool for studies of neuronal injury and neurodegeneration in a variety of acute brain injury and chronic neurological models.

Indexed as

cavalieri estimatorneuronal injuryoptical disectoroptical fractionatorstereology

Identifiers

PMID26582988
PMCPMC4628120

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.