Evidence map›Paper›PMID 28549769›Full record

ArticlePathophysiology : the official journal of the International Society for Pathophysiology2017

Variations in the cerebrospinal fluid proteome following traumatic brain injury and subarachnoid hemorrhage.

David E Connor, Ganta V Chaitanya, Prashant Chittiboina, Paul McCarthy, L Keith Scott, Lisa Schrott, Alireza Minagar, Anil Nanda, J Steven Alexander

Open access · goldAbstract read
In one paragraph

Article in Pathophysiology : the official journal of the International Society for Pathophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 31 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

9 authors at 4 institutions in 1 country.

David E ConnorBaptist Health Neurosurgery Arkansas, Little Rock, AR, United States. Electronic address: dconnor1979@gmail.com.
Ganta V ChaitanyaCardiovascular Research Center, University of Virginia, Charlottesville, VA, United States. Electronic address: vg6u@virginia.edu.
Prashant ChittiboinaSurgical Neurology Branch, National Institute of Neurological Diseases and Stroke, Bethesda, MD, United States. Electronic address: prashant.chittiboina@nih.gov.
Paul McCarthyDepartment of Medicine, Sect. of Nephrology, University of Maryland, Baltimore, MD, United States. Electronic address: pbluesmd@yahoo.com.
L Keith ScottDepartment of Critical Care Medicine, Louisiana State University Health Sciences Center-Shreveport, LA, United States. Electronic address: lscott2@lsuhsc.edu.
Lisa SchrottDepartment of Pharmacology, Toxicology and Neuroscience, Louisiana State University Health Sciences Center-Shreveport, LA, United States. Electronic address: lisaschrottl@gmail.com.
Alireza MinagarDepartment of Neurology, Louisiana State University Health Sciences Center-Shreveport, LA, United States. Electronic address: aminag@lsuhsc.edu.
Anil NandaDepartment of Neurosurgery, Louisiana State University Health Sciences Center-Shreveport, LA, United States. Electronic address: ananda@lsuhsc.edu.
J Steven AlexanderDepartment of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, LA, United States. Electronic address: jalexa@lsuhsc.edu.
Louisiana State University Health Sciences Center Shreveport · USNational Institute of Neurological Disorders and Stroke · USUniversity of Maryland, Baltimore · USUniversity of Virginia · US

Funding

Intramural NIH HHS Z99 NS999999
6 · The paper itself

Abstract

backgroundProteomic analysis of cerebrospinal fluid (CSF) has shown great promise in identifying potential markers of injury in neurodegenerative diseases [1-13]. Here we compared CSF proteomes in healthy individuals, with patients diagnosed with traumatic brain injury (TBI) and subarachnoid hemorrhage (SAH) in order to characterize molecular biomarkers which might identify these different clinical states and describe different molecular mechanisms active in each disease state.

methodsPatients presenting to the Neurosurgery service at the Louisiana State University Hospital-Shreveport with an admitting diagnosis of TBI or SAH were prospectively enrolled. Patients undergoing CSF sampling for diagnostic procedures were also enrolled as controls. CSF aliquots were subjected to 2-dimensional gel electrophoresis (2D GE) and spot percentage densities analyzed. Increased or decreased spot expression (compared to controls) was defined in terms of in spot percentages, with spots showing consistent expression change across TBI or SAH specimens being followed up by Matrix-Assisted Laser Desorption/Ionization mass spectrometry (MALDI-MS). Polypeptide masses generated were matched to known standards using a search of the NCBI and/or GenPept databases for protein matches. Eight hundred fifteen separately identifiable polypeptide migration spots were identified on 2D GE gels. MALDI-MS successfully identified 13 of 22 selected 2D GE spots as recognizable polypeptides.

resultsStatistically significant changes were noted in the expression of fibrinogen, carbonic anhydrase-I (CA-I), peroxiredoxin-2 (Prx-2), both α and β chains of hemoglobin, serotransferrin (Tf) and N-terminal haptoglobin (Hp) in TBI and SAH specimens, as compared to controls. The greatest mean fold change among all specimens was seen in CA-I and Hp at 30.7 and -25.7, respectively. TBI specimens trended toward greater mean increases in CA-I and Prx-2 and greater mean decreases in Hp and Tf.

conclusionsConsistent CSF elevation of CA-I and Prx-2 with concurrent depletion of Hp and Tf may represent a useful combination of biomarkers for the prediction of severity and prognosis following brain injury.

Identifiers

PMID28549769
PMCPMC7303909
OpenAlexW2612622674

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.