Detection of Lipomannan in Cattle Infected with Bovine Tuberculosis
Abstract
Early and rapid detection of bovine tuberculosis (bTB) is critical to controlling the spread of this disease in cattle and other animals. Here in this study, we demonstrate the development of an immunoassay for the direct detection of the bovine bTB biomarker, lipomannan (LM) in serum using a waveguide-based optical biosensor. We apply an ultra-sensitive detection strategy developed by our team, termed lipoprotein capture, that exploits the pull-down of high-density lipoprotein (HDL) nanodiscs from cattle blood that allows for the recovery and detection of associated LM. We also profile the change in the expression of these TB biomarkers as a function of time from a small set of samples collected from studies of bovine TB-infected cattle. Lastly, we demonstrate for the first time the direct detection of bovine LM in serum, and clearly show that the biomarker is expressed in detectable concentrations during the entire course of the infection.
- Authors:
-
[1];
[1]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- US Dept. of Agriculture (USDA)., Ames, IA (United States). National Animal Disease Center
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program; New Mexico Small Business Assistance (NMSBA); US Dept. of Agriculture (USDA)
- OSTI Identifier:
- 1352430
- Report Number(s):
- LA-UR-17-21083
Journal ID: ISSN 0910-6340
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Analytical Sciences
- Additional Journal Information:
- Journal Volume: 33; Journal Issue: 4; Journal ID: ISSN 0910-6340
- Publisher:
- Japan Society for Analytical Chemistry
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Biological Science
Citation Formats
Vu, Dung M., Sakamuri, Rama M., Waters, W. Ray, Swanson, Basil I., and Mukundan, Harshini. Detection of Lipomannan in Cattle Infected with Bovine Tuberculosis. United States: N. p., 2017.
Web. doi:10.2116/analsci.33.457.
Vu, Dung M., Sakamuri, Rama M., Waters, W. Ray, Swanson, Basil I., & Mukundan, Harshini. Detection of Lipomannan in Cattle Infected with Bovine Tuberculosis. United States. https://doi.org/10.2116/analsci.33.457
Vu, Dung M., Sakamuri, Rama M., Waters, W. Ray, Swanson, Basil I., and Mukundan, Harshini. Mon .
"Detection of Lipomannan in Cattle Infected with Bovine Tuberculosis". United States. https://doi.org/10.2116/analsci.33.457. https://www.osti.gov/servlets/purl/1352430.
@article{osti_1352430,
title = {Detection of Lipomannan in Cattle Infected with Bovine Tuberculosis},
author = {Vu, Dung M. and Sakamuri, Rama M. and Waters, W. Ray and Swanson, Basil I. and Mukundan, Harshini},
abstractNote = {Early and rapid detection of bovine tuberculosis (bTB) is critical to controlling the spread of this disease in cattle and other animals. Here in this study, we demonstrate the development of an immunoassay for the direct detection of the bovine bTB biomarker, lipomannan (LM) in serum using a waveguide-based optical biosensor. We apply an ultra-sensitive detection strategy developed by our team, termed lipoprotein capture, that exploits the pull-down of high-density lipoprotein (HDL) nanodiscs from cattle blood that allows for the recovery and detection of associated LM. We also profile the change in the expression of these TB biomarkers as a function of time from a small set of samples collected from studies of bovine TB-infected cattle. Lastly, we demonstrate for the first time the direct detection of bovine LM in serum, and clearly show that the biomarker is expressed in detectable concentrations during the entire course of the infection.},
doi = {10.2116/analsci.33.457},
journal = {Analytical Sciences},
number = 4,
volume = 33,
place = {United States},
year = {Mon Apr 10 00:00:00 EDT 2017},
month = {Mon Apr 10 00:00:00 EDT 2017}
}
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journal, July 2017
- Kubicek-Sutherland, Jessica; Vu, Dung; Mendez, Heather
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- Online Journal of Public Health Informatics, Vol. 10, Issue 1
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journal, April 2019
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- Scientific Reports, Vol. 9, Issue 1
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