Fiber-based early diagnosis of venous thromboembolic disease by label-free D-dimer detection
Date
2019Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
ES/1PE/TEC2016-78047-R
Impact
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10.1016/j.biosx.2019.100026
Abstract
D-dimer is a useful diagnostic biomarker for deep vein thrombosis or pulmonary embolism, collectively referred to as venous thromboembolism (VTE). The ability to detect in real-time the amount of D-dimer with a fast and reliable method is a key step to anticipate the appearance of these diseases. Here, the results of a highly specific and sensitive biosensor for the detection of D-dimer based on ...
[++]
D-dimer is a useful diagnostic biomarker for deep vein thrombosis or pulmonary embolism, collectively referred to as venous thromboembolism (VTE). The ability to detect in real-time the amount of D-dimer with a fast and reliable method is a key step to anticipate the appearance of these diseases. Here, the results of a highly specific and sensitive biosensor for the detection of D-dimer based on lossy mode resonance in fiber optics are presented. The unique features of specialty fibers in light management integrated with microfluidics allow detecting D-dimer in human serum with a detection limit of 100 ng/mL, a value 5-fold below the clinical cutoff value. Comparison of the results achieved with mass-spectrometry-based proteomics, which allows for the identification of beta- and gamma-chains of fibrinogen, demonstrates the ability of our platform to specifically (>90%) recognize D-dimer. Therefore, this technology potentially represents a paradigm shift in the development of a simple, high-specificity and label-free biosensing platform, which can be applied to speed up diagnostic healthcare processes of venous thromboembolism toward an early diagnostic and personalized treatment system. [--]
Subject
Optical biosensor,
Lossy mode resonance,
D-dimer,
Venous thromboembolism,
Nanocoated fiber
Publisher
Elsevier
Published in
Biosensors and Bioelectronics: X 2 2019 100026
Departament
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Publisher version
Sponsorship
This work is funded by grants from the Spanish Agencia Estatal de Investigación (AEI) and European Regional Development Fund (FEDER) (TEC2016-78047-R) and the Department of Economic Development from Government of Navarra (REF. PC023-24-25 , PC081-082 , and PI031). The Proteomics Unit of Navarrabiomed is a member of Proteored, PRB3-ISCIII, and is supported by grant PT17/0019/009, of the PE I+D+I 2013–2016 funded by ISCIII and FEDER. This work is partly funded by the European Commission, Directorate-General Communications Networks, Content and Technology (DG CONNECT) under the ERA-NET Cofund scheme - Horizon 2020 'Horizon 2020 – the Framework Programme for Research and Innovation ( 2014–2020 )' for the project OPTIMO and by National Research Council of Italy (CNR) within the Short Term Mobility program (STM 2017 ).