Mining ventricular cerebrospinal fluid from patients with traumatic brain injury using hexapeptide ligand libraries to search for trauma biomarkers

Sjödin, Marcus; Bergquist, Jonas; Wetterhall, Magnus

doi:10.1016/j.jchromb.2010.05.036

Cited by 38 publications

(34 citation statements)

References 38 publications

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“…Another study on TBI CSF (Sjodin et al . ) detected proteins associated with degeneration/regeneration including neuron‐specific enolase and GFAP, while a related study (Boutte et al . ) identified 321 over‐expressed and 65 down‐regulated proteins in CSF, 24 h after injury.…”

Section: Discussionmentioning

confidence: 92%

Characterization of traumatic brain injury in human brains reveals distinct cellular and molecular changes in contusion and pericontusion

Harish

Mahadevan

Pruthi

et al. 2015

Journal of Neurochemistry

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Traumatic brain injury (TBI) contributes to fatalities and neurological disabilities worldwide. While primary injury causes immediate damage, secondary events contribute to long-term neurological defects. Contusions (Ct) are primary injuries correlated with poor clinical prognosis, and can expand leading to delayed neurological deterioration. Pericontusion (PC) (penumbra), the region surrounding Ct, can also expand with edema, increased intracranial pressure, ischemia, and poor clinical outcome. Analysis of Ct and PC can therefore assist in understanding the pathobiology of TBI and its management. This study on human TBI brains noted extensive neuronal, astroglial and inflammatory changes, alterations in mitochondrial, synaptic and oxidative markers, and associated proteomic profile, with distinct differences in Ct and PC.While Ct displayed petechial hemorrhages, thrombosis, inflammation, neuronal pyknosis, and astrogliosis, PC revealed edema, vacuolation of neuropil, axonal loss, and dystrophic changes. Proteomic analysis demonstrated altered immune response, synaptic, and mitochondrial dysfunction, among others, in Ct, while PC displayed altered regulation of neurogenesis and cytoskeletal architecture, among others. TBI brains displayed oxidative damage, glutathione depletion, mitochondrial dysfunction, and loss of synaptic proteins, with these changes being more profound in Ct. We suggest that analysis of markers specific to Ct and PC may be valuable in the evaluation of TBI pathobiology and therapeutics.

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Section: Discussionmentioning

confidence: 92%

Characterization of traumatic brain injury in human brains reveals distinct cellular and molecular changes in contusion and pericontusion

Harish

Mahadevan

Pruthi

et al. 2015

Journal of Neurochemistry

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“…Other studies found that patients that CKBB failed to predict intracranial injury that was found on CT scan [59, 60]. However, several more recent studies have found CKBB does significantly correlate with brain injury after blast-induced trauma and severe trauma in proteomics analyses of CSF [61, 62]. Although previous studies suggest that CKBB concentration in serum is a poor single factor predictor of brain injury, our model offers the novel possibility that CKBB in sum with other biomarkers is a significant marker of brain injury.…”

Section: Discussionmentioning

confidence: 99%

A blood-based biomarker panel to risk-stratify mild traumatic brain injury

et al. 2017

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Mild traumatic brain injury (TBI) accounts for the vast majority of the nearly two million brain injuries suffered in the United States each year. Mild TBI is commonly classified as complicated (radiographic evidence of intracranial injury) or uncomplicated (radiographically negative). Such a distinction is important because it helps to determine the need for further neuroimaging, potential admission, or neurosurgical intervention. Unfortunately, imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) are costly and not without some risk. The purpose of this study was to screen 87 serum biomarkers to identify a select panel of biomarkers that would predict the presence of intracranial injury as determined by initial brain CT. Serum was collected from 110 patients who sustained a mild TBI within 24 hours of blood draw. Two models were created. In the broad inclusive model, 72kDa type IV collagenase (MMP-2), C-reactive protein (CRP), creatine kinase B type (CKBB), fatty acid binding protein—heart (hFABP), granulocyte-macrophage colony-stimulating factor (GM-CSF) and malondialdehyde modified low density lipoprotein (MDA-LDL) significantly predicted injury visualized on CT, yielding an overall c-statistic of 0.975 and a negative predictive value (NPV) of 98.6. In the parsimonious model, MMP-2, CRP, and CKBB type significantly predicted injury visualized on CT, yielding an overall c-statistic of 0.964 and a negative predictive value (NPV) of 97.2. These results suggest that a serum based biomarker panel can accurately differentiate patients with complicated mild TBI from those with uncomplicated mild TBI. Such a panel could be useful to guide early triage decisions, including the need for further evaluation or admission, especially in those environments in which resources are limited.

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“…This study involved the removal of highly abundant proteins by performing IgY-14 immunodepletion followed by two dimensional (2D) liquid chromatography (LC) separation (Schutzer et al, 2010). Studies have also been performed to characterize individual biomarkers or complex patterns of biomarkers in various diseases in the CSF (Sjodin et al, 2010; Zougman et al, 2008). One potential pitfall of CSF proteomic analysis is contamination from blood, which can be identified by counting red blood cells present or examining surrogate markers from blood contamination other than hemoglobin such as peroxiredoxin, catalase, and carbonic anhydrase (You et al, 2005).…”

Section: Biological Materials Selectionmentioning

confidence: 99%

Mass spectrometry-based proteomics and peptidomics for systems biology and biomarker discovery

Cunningham

2012

Front. Biol.

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The scientific community has shown great interest in the field of mass spectrometry-based proteomics and peptidomics for its applications in biology. Proteomics technologies have evolved to produce large datasets of proteins or peptides involved in various biological and disease progression processes producing testable hypothesis for complex biological questions. This review provides an introduction and insight to relevant topics in proteomics and peptidomics including biological material selection, sample preparation, separation techniques, peptide fragmentation, post-translation modifications, quantification, bioinformatics, and biomarker discovery and validation. In addition, current literature and remaining challenges and emerging technologies for proteomics and peptidomics are presented.

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Mining ventricular cerebrospinal fluid from patients with traumatic brain injury using hexapeptide ligand libraries to search for trauma biomarkers

Cited by 38 publications

References 38 publications

Characterization of traumatic brain injury in human brains reveals distinct cellular and molecular changes in contusion and pericontusion

Characterization of traumatic brain injury in human brains reveals distinct cellular and molecular changes in contusion and pericontusion

A blood-based biomarker panel to risk-stratify mild traumatic brain injury

Mass spectrometry-based proteomics and peptidomics for systems biology and biomarker discovery

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