Evidence map›Paper›PMID 24550885›Full record

ArticleFrontiers in neurology2014

Long-term cognitive impairments and pathological alterations in a mouse model of repetitive mild traumatic brain injury.

Jian Luo, Andy Nguyen, Saul Villeda, Hui Zhang, Zhaoqing Ding, Derek Lindsey, Gregor Bieri, Joseph M Castellano, Gary S Beaupre, Tony Wyss-Coray

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 84 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 4 pooled it
–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

84 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jian LuoDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Andy NguyenDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Saul VilledaDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Hui ZhangDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Zhaoqing DingDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Derek LindseyCenter for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Gregor BieriDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Joseph M CastellanoDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Gary S BeaupreCenter for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.
Tony Wyss-CorayDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine , Stanford, CA , USA ; Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System , Palo Alto, CA , USA.

Funding

Aging and Inflammation in Mild Traumatic Brain InjuryI01RX001218 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI WYSS-CORAY, TONY · 2014 to 2018
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RRD VA I01 RX001218
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI, also referred to as concussion) accounts for the majority of all traumatic brain injuries. The consequences of repetitive mTBI have become of particular concern for individuals engaged in certain sports or in military operations. Many mTBI patients suffer long-lasting neurobehavioral impairments. In order to expedite pre-clinical research and therapy development, there is a need for animal models that reflect the long-term cognitive and pathological features seen in patients. In the present study, we developed and characterized a mouse model of repetitive mTBI, induced onto the closed head over the left frontal hemisphere with an electromagnetic stereotaxic impact device. Using GFAP-luciferase bioluminescence reporter mice that provide a readout of astrocyte activation, we observed an increase in bioluminescence relative to the force delivered by the impactor after single impact and cumulative effects of repetitive mTBI. Using the injury parameters established in the reporter mice, we induced a repetitive mTBI in wild-type C57BL/6J mice and characterized the long-term outcome. Animals received repetitive mTBI showed a significant impairment in spatial learning and memory when tested at 2 and 6 months after injury. A robust astrogliosis and increased p-Tau immunoreactivity were observed upon post-mortem pathological examinations. These findings are consistent with the deficits and pathology associated with mTBI in humans and support the use of this model to evaluate potential therapeutic approaches.

Indexed as

astrogliosisbioluminescencelong-termmild traumatic brain injuryneurobehavior

Identifiers

PMID24550885
PMCPMC3912443

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.