The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Cerebrospinal Fluid Inflammatory Cytokines and Biomarkers of Injury Severity in Acute Human Spinal Cord Injury
Abstract
There is an urgent need for both the scientific development and clinical validation of novel therapies for acute spinal cord injury (SCI). The scientific development of novel therapies would be facilitated by a better understanding of the acute pathophysiology of human SCI. Clinical validation of such therapies would be facilitated by the availability of biomarkers with which to stratify injury severity and predict neurological recovery. Cerebrospinal fluid (CSF) samples were obtained over a period of 72 h in 27 patients with complete SCI (ASIA A) or incomplete SCI (ASIA B or C). Cytokines were measured in CSF and serum samples using a multiplex cytokine array system and standard enzyme-linked immunosorbent assay (ELISA) techniques. Neurological recovery was monitored, and patient-reported neuropathic pain was documented. IL-6, IL-8, MCP-1, tau, S100beta, and glial fibrillary acidic protein (GFAP) were elevated in a severity-dependent fashion. A biochemical model was established using S100beta, GFAP, and IL-8 to predict injury severity (ASIA A, B, or C). Using these protein concentrations at 24-h post injury, the model accurately predicted the observed ASIA grade in 89% of patients. Furthermore, segmental motor recovery at 6 months post injury was better predicted by these CSF proteins than with the patients' baseline ASIA grade. The pattern of expression over the first 3 to 4 days post injury of a number of inflammatory cytokines such as IL-6, IL-8, and MCP-1 provides invaluable information about the pathophysiology of human SCI. A prediction model that could use such biological data to stratify injury severity and predict neurological outcome may be extremely useful for facilitating the clinical validation of novel treatments in acute human SCI.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1,026 Experimental treatments in acute stroke
O'Collins, V. E., Macleod, M. R., Donnan, G. A., Horky, L. L., van der Worp, B. H., & Howells, D. W. (2006) · Annals of Neurology · doi:10.1002/ana.20741 · Cited by 1,460
Siddall, P. J., McClelland, J. M., Rutkowski, S. B., & Cousins, M. J. (2003) · Pain · doi:10.1016/s0304-3959(02)00452-9 · Cited by 964
Fawcett, J. W., Curt, A., Steeves, J. D., Coleman, W. P., Tuszynski, M. H., Lammertse, D., Bartlett, P. F., Blight, A. R., Dietz, V, Ditunno, J., et al. (2007) · Spinal Cord · doi:10.1038/sj.sc.3102007 · Cited by 882
The cellular inflammatory response in human spinal cords after injury
Fleming, J. C., Norenberg, M. D., Ramsay, D. A., Dekaban, G. A., Marcillo, A. E., Saenz, A. D., Pasquale-Styles, M., Dietrich, W. D., & Weaver, L. C. (2006) · Brain · doi:10.1093/brain/awl296 · Cited by 847
Immune and inflammatory mechanisms in neuropathic pain
Moalem, G., & Tracey, D. J. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2005.11.004 · Cited by 774
Bootstrap Methods for Developing Predictive Models
Austin, P. C., & Tu, J. V. (2004) · The American Statistician · doi:10.1198/0003130043277 · Cited by 622
Geisler, F. H., Dorsey, F. C., & Coleman, W. P. (1991) · New England Journal of Medicine · doi:10.1056/nejm199106273242601 · Cited by 603
Using screening tools to identify neuropathic pain
Bennett, M. I., Attal, N., Backonja, M. M., Baron, R., Bouhassira, D., Freynhagen, R., Scholz, J., Tölle, T. R., Wittchen, H.-U., & Jensen, T. S. (2007) · Pain · doi:10.1016/j.pain.2006.10.034 · Cited by 589
The Sygen® Multicenter Acute Spinal Cord Injury Study
Geisler, F. H., Coleman, W. P., Grieco, G., & Poonian, D. (2001) · Spine · doi:10.1097/00007632-200112151-00015 · Cited by 475
Motor and sensory recovery following incomplete tetraplegia
Waters, R. L., Adkins, R. H., Yakura, J. S., & Sie, I. (1994) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/0003-9993(94)90034-5 · Cited by 443
Cited by
Ahuja, C. S., Wilson, J. R., Nori, S., Kotter, M. R. N., Druschel, C., Curt, A., & Fehlings, M. G. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.18 · Cited by 2,441
Blood GFAP as an emerging biomarker in brain and spinal cord disorders
Abdelhak, A., Foschi, M., Abu-Rumeileh, S., Yue, J. K., D’Anna, L., Huss, A., Oeckl, P., Ludolph, A. C., Kuhle, J., Petzold, A., et al. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-021-00616-3 · Cited by 807
Biomarkers in Spinal Cord Injury: Prognostic Insights and Future Potentials
Albayar, A. A., Roche, A., Swiatkowski, P., Antar, S., Ouda, N., Emara, E., Smith, D. H., Ozturk, A. K., & Awad, B. I. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00027 · Cited by 108
Metadata
- Authors
- Kwon, B. K., Stammers, A. M. T., Belanger, L. M., Bernardo, A., Chan, D., Bishop, C. M., Slobogean, G. P., Zhang, H., Umedaly, H., Giffin, M., Street, J., Boyd, M. C., Paquette, S. J., Fisher, C. G., & Dvorak, M. F.
- Venue
- Journal of Neurotrauma
- Publisher
- SAGE Publications
- Published
- 2010-04
- Volume
- 27
- Issue
- 4
- Pages
- 669-682
- ISSN
- 0897-7151 (ISSN-L)
- 1557-9042
- OpenAlex
- W2014958031
- Cited by
- 310
- References
- 59
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cerebrospinal Fluid Inflammatory Cytokines and Biomarkers of Injury Severity in Acute Human Spinal Cord Injury. https://app.cochat.ai/papers/10.1089/neu.2009.1080
- The paper
- Kwon, B. K., Stammers, A. M. T., Belanger, L. M., Bernardo, A., Chan, D., Bishop, C. M., Slobogean, G. P., Zhang, H., Umedaly, H., Giffin, M., Street, J., Boyd, M. C., Paquette, S. J., Fisher, C. G., & Dvorak, M. F. (2010). Cerebrospinal Fluid Inflammatory Cytokines and Biomarkers of Injury Severity in Acute Human Spinal Cord Injury. Journal of Neurotrauma. https://doi.org/10.1089/neu.2009.1080
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.