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|Title: ||The Next Generation of Biomarker Research in Spinal Cord Injury|
|Authors: ||Ydens, Elke|
|Issue Date: ||2017|
|Citation: ||Molecular neurobiology, 54 (2), p. 1482-1499|
|Abstract: ||In traumatic spinal cord injury (SCI) patients, the assessment of the exact degree of lesion severity and neurological prognosis has proven to be extremely challenging. The current tools for predicting functional outcome in SCI patients such as clinical examination and magnetic resonance imaging are often inaccessible to unstable or polytraumatized patients, lack sensitivity and are unreliable in the acute phase of the injury. Multiple candidate protein biomarkers known to be linked to the pathology have been studied for their potential to predict neurological outcome over time. This hypothesis-driven approach however, has yielded only minimal success and the reported individual markers lack sensitivity and correlation with specific outcome measures, which highlights the need for an unbiased high-throughput screening approach to identify novel candidate biomarkers. Antibodies were suggested to represent better biomarkers as their counterpart antigens as they are highly specific and abundantly present in blood due to their inherent amplification and long half-life. Moreover, antibodies are easily accessible, and are amenable to high-throughput screening. We therefore suggest an unbiased, high-throughput and powerful antibody profiling procedure, named Serological antigen selection, based on cDNA phage display to combine the multiple benefits of stable and frequent antibodies and those of an unbiased method. The application of such an innovative and unbiased approach can complement the more traditional approaches to aid in the discovery of novel SCI-associated biomarkers.|
|Notes: ||Somers, V (reprint author), Hasselt Univ, Biomed Res Inst, Martelarenlaan 42, B-3500 Diepenbeek, Hasselt, Belgium.
|ISI #: ||000394964100056|
|Type: ||Journal Contribution|
|Appears in Collections: ||Research publications|
Files in This Item:
|Published version||1.28 MB||Adobe PDF|
|Peer-reviewed author version||574.17 kB||Adobe PDF|
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