Evidence map›Paper›PMID 38948027›Full record

ArticleFrontiers in cellular neuroscience2024

Individualized high-resolution analysis to categorize diverse learning and memory deficits in tau rTg4510 mice exposed to low-intensity blast.

Amitai Zuckerman, Heather R Siedhoff, Ashley Balderrama, Runting Li, Grace Y Sun, David X Cifu, Ibolja Cernak, Jiankun Cui, Zezong Gu

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Amitai ZuckermanDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
Heather R SiedhoffDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
Ashley BalderramaDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
Runting LiDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
Grace Y SunDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
David X CifuDepartment of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.
Ibolja CernakThomas F. Frist, Jr. College of Medicine, Belmont University, Nashville, TN, United States.
Jiankun CuiDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.
Zezong GuDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States.

Funding

BLRD VA I01 BX004313
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) resulting from low-intensity blast (LIB) exposure in military and civilian individuals is linked to enduring behavioral and cognitive abnormalities. These injuries can serve as confounding risk factors for the development of neurodegenerative disorders, including Alzheimer's disease-related dementias (ADRD). Recent animal studies have demonstrated LIB-induced brain damage at the molecular and nanoscale levels. Nevertheless, the mechanisms linking these damages to cognitive abnormalities are unresolved. Challenges preventing the translation of preclinical studies into meaningful findings in "real-world clinics" encompass the heterogeneity observed between different species and strains, variable time durations of the tests, quantification of dosing effects and differing approaches to data analysis. Moreover, while behavioral tests in most pre-clinical studies are conducted at the group level, clinical tests are predominantly assessed on an individual basis. In this investigation, we advanced a high-resolution and sensitive method utilizing the CognitionWall test system and applying reversal learning data to the Boltzmann fitting curves. A flow chart was developed that enable categorizing individual mouse to different levels of learning deficits and patterns. In this study, rTg4510 mice, which represent a neuropathology model due to elevated levels of tau P301L, together with the non-carrier genotype were exposed to LIB. Results revealed distinct and intricate patterns of learning deficits and patterns within each group and in relation to blast exposure. With the current findings, it is possible to establish connections between mice with specific cognitive deficits to molecular changes. This approach can enhance the translational value of preclinical findings and also allow for future development of a precision clinical treatment plan for ameliorating neurologic damage of individuals with mTBI.

Indexed as

clinical translation valueCognitionWallheterogeneous learning patternslow intensity blastmild traumatic brain injurytau rTg4510 mice

Identifiers

PMID38948027
PMCPMC11212475

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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.