Evidence map›Paper›PMID 27321229›Full record

ArticleJournal of neuroscience methods2016

Semi-automated rapid quantification of brain vessel density utilizing fluorescent microscopy.

Kaci A Bohn, Chris E Adkins, Rajendar K Mittapalli, Tori B Terrell-Hall, Afroz S Mohammad, Neal Shah, Emma L Dolan, Mohamed I Nounou, Paul R Lockman

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 29 citations in OpenAlex.

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  4. Q-VAT: Quantitative Vascular Analysis Tool.Frontiers in cardiovascular medicine · 2023
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  6. Activation of Glutamate Transport Increases Arteriole DiameterFrontiers in cellular neuroscience · 2022
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  7. More than just summed neuronal activity: how multiple cell types shape the BOLD response.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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  9. Sono-optogenetics facilitated by a circulation-delivered rechargeable light source for minimally invasive optogenetics.Proceedings of the National Academy of Sciences of the United States of America · 2019
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  10. 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

9 authors at 4 institutions in 2 countries.

Kaci A BohnTexas Tech University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Amarillo, TX 79106-1712, USA; Harding University, College of Pharmacy, Department of Pharmaceutical Sciences, Searcy, AR 72149-12230, USA.
Chris E AdkinsTexas Tech University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Amarillo, TX 79106-1712, USA; West Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA.
Rajendar K MittapalliTexas Tech University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Amarillo, TX 79106-1712, USA.
Tori B Terrell-HallWest Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA.
Afroz S MohammadWest Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA.
Neal ShahWest Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA.
Emma L DolanWest Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA.
Mohamed I NounouTexas Tech University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Amarillo, TX 79106-1712, USA; Appalachian College of Pharmacy, Oakwood, VA 24631, USA; Alexandria University, Faculty of Pharmacy, Department of Pharmaceutics, Alexandria, Egypt.
Paul R LockmanTexas Tech University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Amarillo, TX 79106-1712, USA; West Virginia University Health Sciences Center, School of Pharmacy, Department of Pharmaceutical Sciences, Morgantown, WV 26506, USA. Electronic address: prlockman@hsc.wvu.edu.
West Virginia University · USTexas Tech University · USAlexandria University · EGTexas Tech University Health Sciences Center · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
West Virginia Flow Cytometry Core FacilityP30GM103488 · NIGMS · WEST VIRGINIA UNIVERSITY · PI CUFF, CHRISTOPHER F · 2012 to 2016
$4.8M
Prevention and treatment of brain micrometastases of breast cancerR01CA166067 · NCI · WEST VIRGINIA UNIVERSITY · PI LOCKMAN, PAUL R · 2013 to 2017
$1.5M
NCI NIH HHS R01 CA166067NIGMS NIH HHS P30 GM103488NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundMeasurement of vascular density has significant value in characterizing healthy and diseased tissue, particularly in brain where vascular density varies among regions. Further, an understanding of brain vessel size helps distinguish between capillaries and larger vessels like arterioles and venules. Unfortunately, few cutting edge methodologies are available to laboratories to rapidly quantify vessel density. NEW

methodWe developed a rapid microscopic method, which quantifies the numbers and diameters of blood vessels in brain. Utilizing this method we characterized vascular density of five brain regions in both mice and rats, in two tumor models, using three tracers.

resultsWe observed the number of sections/mm(2) in various brain regions: genu of corpus callosum 161±7, hippocampus 266±18, superior colliculus 300±24, frontal cortex 391±55, and inferior colliculus 692±18 (n=5 animals). Regional brain data were not significantly different between species (p>0.05) or when using different tracers (70kDa and 2000kDa Texas Red; p>0.05). Vascular density decreased (62-79%) in preclinical brain metastases but increased (62%) a rat glioma model. COMPARISON WITH EXISTING

methodsOur values were similar (p>0.05) to published literature. We applied this method to brain-tumors and observed brain metastases of breast cancer to have a ∼2.5-fold reduction (p>0.05) in vessels/mm(2) compared to normal cortical regions. In contrast, vascular density in a glioma model was significantly higher (sections/mm(2) 736±84; p<0.05).

conclusionsIn summary, we present a vascular density counting method that is rapid, sensitive, and uses fluorescence microscopy without antibodies.

Indexed as

AnimalsBrainBrain NeoplasmsCell Line, TumorFemaleGliomaHumansImage Processing, Computer-AssistedMaleMice, TransgenicMicroscopy, FluorescenceNeoplasm MetastasisPattern Recognition, AutomatedRats, Inbred F344Rats, Sprague-DawleyFluorescent microscopyImmunohistochemistryIndocyanine greenMetastasesTX RedVessel density

Identifiers

PMID27321229
PMCPMC4981522
OpenAlexW2439398843

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.