Short communicationDetection of Alzheimer's tau protein using localised surface plasmon resonance-based immunochip
Introduction
Diagnosis of Alzheimer's disease (AD) remains in the hands of medical doctors, who can only at best propose ‘probable Alzheimer's or dementia of the Alzheimer type’ since there is no current test or procedure that is diagnostic. Diagnosis can only be confirmed on autopsy by histopathological features; such as amyloid plaques, neurofibrillary tangles (NFTs), neuronal thread, neuronal and synaptic loss, and brain atrophy in certain regions of the brain [1], [2]. Several biomarkers have been reported [3], [4], [5]. To date, the most extensively studied are amyloid beta (Aβ42), tau and, to a lesser extent, phosphorylated tau in cerebral spinal fluid (CSF) samples, typically using enzyme-linked immunosorbent assay (ELISA) techniques, which are less flexible, costly and labour-intensive [6], [7], [8], [9], [10], [11]. Chip-based technologies have several advantages over the conventional bioanalysis systems because (i) they enable rapid analysis of a large number of samples in a single experiment, (ii) there is reagent economy, and (iii) the signal-to-noise ratio exhibited by micro- or nano-fabricated biochips is much better than that observed for conventional microtiter plate assay systems [12], [13].
Tau is a 50–65 kDa protein. It was first isolated in 1975 as a heat stable protein that promotes assembly, and maintains the structural integrity of microtubules, supports the out-growth of axons and regulates the transport of vesicles and organelles [14], [15]. In the brains of AD individuals, tau proteins become abnormally hyperphosphorylated. It is phosphorylated at more than 20 residues, many (but not all) of which are serine/threonine–proline sites. In healthy individuals, 8–10 of these residues are heterogeneously phosphorylated, and lose the capacity to bind to microtubules. Instead, the phosphorylated tau proteins bind to each other inside nerve cells, tying themselves in “knots” known as NFTs [6], [11]. The first report of CSF tau as a biomarker was published in 1993 [16]. Levels of tau are increased in CSF of AD individuals compared to age-matched controls [6], [7], [8], [9], probably due to neuronal and axonal degeneration or accumulation of NFTs [10]. A cut-off value of 195 pg/mL tau in CSF can accurately differentiate clinically diagnosed AD cases from controls with 89% specificity [8]. Detection of tau, in vitro, is also studied using microscopy, laser light scattering and fluorescence in conjunction with thioflavins (ThS) as the molecular label [17]. Chromatography and SPR have been used in the study of tau–amyloid β interaction [18]. LSPR-based detection techniques are becoming increasingly popular. Several biomolecules have been detected using LSPR immunosensors [19], [20], [21].
In this work, a method based on the immuno-affinity of tau protein towards a monoclonal anti-tau antibody (tau-mAb) immobilised on an LSPR multi-spot nanoparticle chip was employed for the detection of tau protein at room temperature (RT). The approach for LSPR chip fabrication was based on Endo et al.'s [19], [20], with some changes for increased detection sensitivity. Optimisation of each analytical procedure and performance (detection limits, reproducibility, stability of chip and reagents) were examined. Further, the selectivity of the technique by introducing bovine serum albumin (BSA), perhaps the most abundant protein component in serum and CSF [22], was assessed.
Section snippets
Instrumentation
A thermal evaporator (SVC-700TM/700-2), purchased from Sanyu Electron Co. Ltd., Tokyo, Japan, was used for the deposition of chromium and gold layers. An analogue ionisation vacuum gauge (GI-TL3, ULVAC, Kanagawa, Japan) was used to monitor base pressure and the growth rate in thickness was monitored with a quartz crystal microbalance (QCM, model TM-200R, Maxtek Inc., CA, USA). For evaluation of the optical characteristics of nanoparticle layer substrates, an USB-2000 UV–vis spectrophotometer
Results and discussion
LSPR phenomenon has previously been utilized to monitor biomolecular interactions on monolayer of Au nanoparticles by several groups [24], [25], [26]. Recently, Ruch-Nir et al. prepared silica-stabilized gold island films for transmission LSPR-based sensing [27]. Here, we demonstrate the biosensing capability of silica nanoparticles coated with a thin Au layer for the detection of tau protein. Recently, we employed this device for the detection of DNA hybridization and antibody–antigen
Conclusion
We report the first LSPR-based immunochip for tau protein. The detection of 10 pg/mL tau, lower than the cut-off value of 195 pg/mL (for AD) for tau protein in CSF, suggests that the method could be used for tau detection in the aforementioned clinical sample. In addition, this sensitivity puts our method in contention as a viable alternative to ELISA techniques. It has some advantages over ELISA-based assays in that it is direct (label-free), utilizes only one antibody, can detect one sample at
References (31)
- et al.
Am. J. Pathol.
(2002) - et al.
J. Biol. Chem.
(1993) - et al.
Sci. Tech. Adv. Mater.
(2005) - et al.
Mol. Cell. Proteomics
(2002) - et al.
Structure
(1995) - et al.
Curr. Alzheimer Res.
(2006) - et al.
Acta Neuropathol.
(1996) - et al.
J. Geriatr. Psychiatry Neurol.
(2006) - et al.
Biomarkers
(2005) - et al.
Proc. Natl. Acad. Sci. U.S.A.
(2005)
Acta Neurobiol. Exp.
Neurochemistry
J. Am. Med. Soc.
J. Int. Med.
Clin. Chem.
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