Determination of cerebrospinal fluid leakage by selective deletion of transferrin glycoform using an immunochromatographic assay

Authors
Oh, Jusung
Kwon, Seok Joon
Dordick, Jonathan S.
Sonstein, William J.
Linhardt, Robert J.
Kim, Min Gon
ORCID
https://orcid.org/0000-0003-2219-5833
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Issue Date
2019-01-01
Keywords
Biology , Chemistry and chemical biology , Chemical and biological engineering , Biomedical engineering
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Terms of Use
Attribution 3.0 United States
CC BY : this license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. Credit must be given to the authors and the original work must be properly cited.
Full Citation
Determination of cerebrospinal fluid leakage by selective deletion of transferrin glycoform using an immunochromatographic assay, J. Oh, S.-J. Kwon, J. S. Dordick, W. J. Sonstein, R. J. Linhardt, M.-G. Kim, Theranostics, 9, 4182-4191, 2019.
Abstract
Cerebrospinal fluid (CSF) leakage can lead to brain and spine pathologies and there is an urgent need for a rapid diagnostic method for determining CSF leakage. Beta-2 transferrin (β2TF), asialotransferrin, is a specific CSF glycoprotein biomarker used to determine CSF leakage when distinguished from serum sialotransferrin (sTF). Methods: We detected β2TF using an immunochromatographic assay (ICA), which can be potentially developed as a point-of-care (POC) testing platform. Sialic acid-specific lectin selectively captures sTF in multiple deletion lines within an ICA test strip, enabling the detection of β2TF. A sample pre-treatment process efficiently captures excess sTF increasing sensitivity for CSF leakage detection. Results: An optimal cut-off value for determining the presence of CSF in test samples was obtained from receiver operating characteristic (ROC) analysis of the ratio of the test signal intensity and the deletion lines. On 47 clinical samples, ICA test strips discriminated CSF positive from negative samples with statistically significant (positive versus negative t-test; P =0.00027). Additional artificial positive samples, prepared by mixing CSF positive and negative clinical samples, were used as a further challenge. These positive samples were clearly discriminated from the negative samples (mixture versus negative t-test; P =0.00103) and CSF leakage was determined with 97.1% specificity and 96.2% sensitivity. Conclusions: ICA represents a promising approach for POC diagnosis of CSF leakage. While requiring 70 min assay time inconvenient for POC testing, our method was significantly shorter than conventional electrophoresis-based detection methods for β2TF.
Description
Theranostics, 9, 4182-4191
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Department
The Linhardt Research Labs.
The Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies (CBIS)
Publisher
Ivyspring International
Relationships
The Linhardt Research Labs Online Collection
Rensselaer Polytechnic Institute, Troy, NY
Theranostics
https://harc.rpi.edu/
Access
A full text version is available in DSpace@RPI
CC BY — Creative Commons Attribution