Evidence map›Paper›PMID 31152841›Full record

ArticleNeuroImage2019

In vivo serial MRI of age-dependent neural progenitor cell migration in the rat brain.

Dorela D Shuboni-Mulligan, Shatadru Chakravarty, Christiane L Mallett, Alexander M Wolf, Pauline M Dmitriev, Stacey M Forton, Erik M Shapiro

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2019. 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
0.6field-weighted citation impact, top 34% 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, 10 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Dorela D Shuboni-MulliganDepartment of Radiology, Michigan State University, East Lansing, MI, USA.
Shatadru ChakravartyDepartment of Radiology, Michigan State University, East Lansing, MI, USA; Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA.
Christiane L MallettDepartment of Radiology, Michigan State University, East Lansing, MI, USA; Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA.
Alexander M WolfDepartment of Radiology, Michigan State University, East Lansing, MI, USA.
Pauline M DmitrievSchool of Medicine, Duke University, Durham, NC, USA.
Stacey M FortonDepartment of Radiology, Michigan State University, East Lansing, MI, USA.
Erik M ShapiroDepartment of Radiology, Michigan State University, East Lansing, MI, USA; Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: shapir86@msu.edu.
Michigan State University · USDuke University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Single cell MRI of directed cell migration to strokeDP2OD004362 · OD · YALE UNIVERSITY · PI SHAPIRO, ERIK · 2008 to 2008
$2.5M
Quantitative molecular and cellular MRI of hepatocyte transplantationR01DK107697 · NIDDK · MICHIGAN STATE UNIVERSITY · PI SHAPIRO, ERIK · 2015 to 2018
$2.1M
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS R01 DK107697NIH HHS DP2 OD004362
6 · The paper itself

Abstract

The subventricular zone (SVZ) is a neurogenic niche in the mammalian brain, giving rise to migratory neural progenitor cells (NPC). In rodents, it is well-established that neurogenesis decreases with aging. MRI-based cell tracking has been used to measure various aspects of neurogenesis and NPC migration in rodents, yet it has not yet been validated in the context of age-related decrease in neurogenesis. This validation is critical to using these MRI techniques to study changes in neurogenesis that arise in diseases prevalent in aging populations and their combination with advanced cellular therapeutic approaches aiming to combat neurodegeneration. As such, in this work we used MRI-based cell tracking to measure endogenous neurogenesis and cell migration from the SVZ along the rostral migratory stream to the olfactory bulb, for 12 days duration, in rats aged 9 weeks to 2 years old. To enable the specific detection of NPCs by MRI, we injected micron sized particles of iron oxide (MPIOs) into the lateral ventricle to endogenously label cells within the SVZ, which then appeared as hypo-intensive spots within MR images. In vivo MRI data showed that the rate of NPC migration was significantly different between all ages examined, with decreases in the distance traveled and migration rate as age progressed. The total number of MPIO-labeled cells within the olfactory bulb on day 12, was significantly decreased when compared across ages in ex vivo high-resolution scans. We also demonstrate for the first-time, provocative preliminary data suggesting age-dependent MPIO uptake within the dentate gyrus (DG) as well. Histology to identify doublecortin-positive NPCs, verified the decrease in cell labeling as a function of aging, for both regions. The dramatic reduction of NPC labeling within the SVZ observed with MRI, validates the sensitivity of MRI-based cell tracking to neurogenic potential and demonstrates the importance of understanding the impact of age on the relationship of NPC and disease.

Indexed as

AgingAnimalsCell MovementCell TrackingDentate GyrusDoublecortin ProteinFerric CompoundsLateral VentriclesMagnetic Resonance ImagingNeural Stem CellsRatsRats, Inbred F344Staining and LabelingDcx protein, ratDoublecortin ProteinFerric Compoundsferric oxideAgingCell trackingIron oxideRostral migratory streamStem cells

Identifiers

PMID31152841
PMCPMC6688911
OpenAlexW2947902624

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.