ReviewMolecular neurobiology2017
The Next Generation of Biomarker Research in Spinal Cord Injury.
Review in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Acute spinal cord injury serum biomarkers in human and rat: a scoping systematic review.Spinal cord series and cases · 2024Article
- The Accuracy of the S100B Protein Biomarker in the Prognosis of Patients with Acute Spinal Cord Injury.Asian journal of neurosurgery · 2024Article
- Altered Circulating Immune Cell Distribution in Traumatic Spinal Cord Injury Patients in Relation to Clinical Parameters.Frontiers in immunology · 2022Article
- Anti-inflammatory and antioxidative effects of genistein in a model of spinal cord injury in rats.Asian biomedicine : research, reviews and news · 2021Article
- Article
- Circulating PAMM, a novel antioxidant and anti-inflammatory protein, is elevated in acute SCI.Journal of translational medicine · 2020Article
- Serum and cerebrospinal fluid tau protein level as biomarkers for evaluating acute spinal cord injury severity and motor function outcome.Neural regeneration research · 2019Article
- Impact of Admission Imaging Findings on Neurological Outcomes in Acute Cervical Traumatic Spinal Cord Injury.Journal of neurotrauma · 2018Article
- cDNA phage display for the discovery of theranostic autoantibodies in rheumatoid arthritis.Immunologic research · 2017Review
- Antibody profiling identifies novel antigenic targets in spinal cord injury patients.Journal of neuroinflammation · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 complementary DNA (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.
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Registered trials
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.