Evidence map›Paper›PMID 26671128›Full record

ArticleJournal of the neurological sciences2015

Correlation of mechanical impact responses and biomarker levels: A new model for biomarker evaluation in TBI.

Yan Li, Liying Zhang, Srinivasu Kallakuri, Abigail Cohen, John M Cavanaugh

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the neurological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  7. Amyloidogenic Processing of Amyloid Precursor Protein Drives Stretch-Induced Disruption of Axonal Transport in hiPSC-Derived Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yan LiDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock Street, Detroit, MI 48201, United States.
Liying ZhangDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock Street, Detroit, MI 48201, United States. Electronic address: lzhang@wayne.edu.
Srinivasu KallakuriDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock Street, Detroit, MI 48201, United States.
Abigail CohenDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock Street, Detroit, MI 48201, United States.
John M CavanaughDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock Street, Detroit, MI 48201, United States.
Wayne State University · US

Funding

Biomechanical Mechanisms and Thresholds of Traumatic Brain InjuryR01EB006508 · NIBIB · WAYNE STATE UNIVERSITY · PI ZHANG, LIYING · 2008 to 2011
$1.3M
NIBIB NIH HHS NIHR01EB006508
6 · The paper itself

Abstract

A modified Marmarou impact acceleration model was used to help screen biomarkers to assess brain injury severity. Anesthetized male Sprague-Dawley rats were subjected to a closed head injury from 1.25, 1.75 and 2.25 m drop heights. Linear and angular responses of the head were measured in vivo. 24h after impact, cerebrospinal fluid (CSF) and serum were collected. CSF and serum levels of phosphorylated neurofilament heavy (pNF-H), glial fibrillary acidic protein (GFAP), interleukin 6 (IL-6), and amyloid beta (Aβ) 1-42 were assessed by enzyme-linked immunosorbent assay (ELISA). Compared to controls, significantly higher CSF and serum pNF-H levels were observed in all impact groups, except between 1.25 m and control in serum. Furthermore, CSF and serum pNF-H levels were significantly different between the impact groups. For GFAP, both CSF and serum levels were significantly higher at 2.25 m compared to 1.75 m, 1.25 m and controls. There was no significant difference in CSF and serum GFAP levels between 1.75 m and 1.25 m, although both groups were significantly higher than control. TBI rats also showed significantly higher levels of IL-6 versus control in both CSF and serum, but no significant difference was observed between each impact group. Levels of Aβ were not significantly different between groups. Pearson's correlation analysis showed pNF-H and GFAP levels in CSF and serum had positive correlation with power (rate of impact energy), followed by average linear acceleration and surface righting (p<0.01), which were good predictors for traumatic axonal injury according to histologic assessment in our previous study, suggesting that they are directly related to the injury mechanism. The model used in this study showed a unique ability in elucidating the relationship between biomarker levels and severity of the mechanical trauma to the brain.

Indexed as

Brain InjuriesDisease Models, AnimalAmyloid beta-PeptidesAnimalsBiomarkersBiomechanical PhenomenaEnzyme-Linked Immunosorbent AssayGlial Fibrillary Acidic ProteinHot TemperatureInterleukin-6MaleNeurofilament ProteinsPeptide FragmentsRatsRats, Sprague-DawleyStatistics as TopicAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersGlial Fibrillary Acidic ProteinInterleukin-6neurofilament protein HNeurofilament ProteinsPeptide FragmentsCerebrospinal fluid biomarkerHead impact kinematicsRodentSerum biomarker, head impact acceleration modelTraumatic brain injury

Identifiers

PMID26671128
OpenAlexW1947417858

What OpenQuestion holds

Textmetadata
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.