- Open Access
Development of an ultra-high sensitive immunoassay with plasma biomarker for differentiating Parkinson disease dementia from Parkinson disease using antibody functionalized magnetic nanoparticles
© The Author(s) 2016
- Received: 22 December 2015
- Accepted: 24 May 2016
- Published: 8 June 2016
It is difficult to discriminate healthy subjects and patients with Parkinson disease (PD) or Parkinson disease dementia (PDD) by assaying plasma α-synuclein because the concentrations of circulating α-synuclein in the blood are almost the same as the low-detection limit using current immunoassays, such as enzyme-linked immunosorbent assay. In this work, an ultra-sensitive immunoassay utilizing immunomagnetic reduction (IMR) is developed. The reagent for IMR consists of magnetic nanoparticles functionalized with antibodies against α-synuclein and dispersed in pH-7.2 phosphate-buffered saline. A high-Tc superconducting-quantum-interference-device (SQUID) alternative-current magnetosusceptometer is used to measure the IMR signal of the reagent due to the association between magnetic nanoparticles and α-synuclein molecules.
According to the experimental α-synuclein concentration dependent IMR signal, the low-detection limit is 0.3 fg/ml and the dynamic range is 310 pg/ml. The preliminary results show the plasma α-synuclein for PD patients distributes from 6 to 30 fg/ml. For PDD patients, the concentration of plasma α-synuclein varies from 0.1 to 100 pg/ml. Whereas the concentration of plasma α-synuclein for healthy subjects is significantly lower than that of PD patients.
The ultra-sensitive IMR by utilizing antibody-functionalized magnetic nanoparticles and high-Tc SQUID magnetometer is promising as a method to assay plasma α-synuclein, which is a potential biomarker for discriminating patients with PD or PDD.
- Parkinson disease
- Immunomagnetic reduction
Parkinson disease (PD) is the second most common neurodegenerative disease after Alzheimer’s disease. More than 1 % of people older than 65 years old are suffering from PD . About 10 million people worldwide are living with PD. The direct and indirect healthcare cost for one PD patient is estimated to be US 100,000 per year . Many countries, especially the US, Canada, Europe and Australia, are worrying about unsustainable increases in the costs of healthcare. Lots of resources and effort have been put into developing the diagnosis, treatments and vaccine for PD.
The clinical criteria for diagnosing PD are the observations of movement disorders such as bradykinesia, cogwheel rigidity, resting tremor and postural instability. Although these clinical features are popularly used, there are several fatal issues for diagnosing PD. For example, other movement disorders (e.g. multiple system atrophy, corticobasal degeneration, or progressive supranuclear palsy) might overlap with the clinical symptoms of PD and decrease the accuracy of diagnosing PD . In addition, it has been reported the clinical symptoms are present after degeneration of over 50 % of dopaminergic neurons in the basal ganglia, particularly in the substantia nigra . The early-stage diagnosis of PD is very difficult, using observations of clinical movement disorders. Analysis of the genetic sequence seems a better method for early-stage diagnosis of PD [5–7]. Nevertheless, only 10 % of PD patients are hereditary. Ninety percent of PD patients are sporadic.
Development of cognitive impairment and dementia, referred as Parkinson disease dementia (PDD), is common in PD . The prediction of development of dementia in PD is challenging and of significant impact in the field. Researchers are now trying to achieve bio-molecular diagnosis for differentiating PD from PDD. α-synuclein is the most recognized biomarker for PD or PDD [9, 10]. As α-synuclein molecules are phosphorylated, phosphor-α-synuclein molecules easily aggregate with one another to form Lewy body in the dopaminergic neurons [11, 12]. Dopaminergic neurons with Lewy bodies become degenerative and lose the ability to express dopamine. Neural cells in the motor cortex of the brain are damaged due to the lack of dopamine and movement disorders are stimulated.
Numerous discoveries show the concentration of α-synuclein in the cerebrospinal fluid (CSF) is reduced because of the formation of Lewy bodies for PD or PDD patients as compared to healthy subjects [13–16]. However, the reported results for the variations in the concentration of α-synuclein in blood are not consistent [17–20]. The main reason for the inconsistent assay results for plasma α-synuclein is the poor low-detection limit of assays. According to these reports [13–20], the enzyme-linked immunosorbent assay (ELISA) is currently used for assaying α-synuclein in either CSF or plasma. α-synuclein is expressed and is abundant in the brain and spinal cord, but occurs in very low amounts in the peripheral blood system. ELISA is not able to precisely detect the proteins at ultra-low concentrations, such as α-synuclein in plasma. Thus, CSF instead of plasma is better for the assay of α-synuclein in the bio-molecular diagnosis of PD or PDD using ELISA.
CSF is usually collected via lumbar puncher, which is high-risk and uncomfortable. The early-stage diagnosis by assaying α-synuclein in CSF is not widely accepted by the general population. Alternatively, blood is much easier to obtain in clinics. To do this, a high-sensitivity detection technology is required to achieve the assay of ultra-low α-synuclein in plasma.
Authors have developed an immunoassay technology, so-called immunomagnetic reduction (IMR), for quantitatively detecting bio-molecules at ultra-low concentrations, e.g. 1–10 pg/ml or lower [21, 22]. The main reason contributed to the ultra-high sensitivity of IMR is the utilization of antibody-functionalized magnetic nanoparticles. These magnetic nanoparticles are well dispersed in reagent and can catch target bio-molecules everywhere in a tested sample. Besides, due to the nano-scaled sizes of particles, the total binding area is extremely large. Hence, antibodies immobilized on the surfaces of magnetic nanoparticles are highly efficiently able to associate with target bio-molecules and result in an ultra-high sensitive immunoassay using IMR. It has been demonstrated IMR can be applied to assay ultra-low concentration β-amyloids and tau protein in human plasma [23–25]. A clear discrimination between healthy subjects and patients with mild cognition impairment due to Alzheimer’s disease was evidenced by assaying plasma β-amyloids and tau protein . These results motivated us to investigate the feasibility of assaying ultra-low concentration α-synuclein in human plasma to achieve a bio-molecular diagnosis of PD or PDD, or to differentiate PD from PDD according to the plasma α-synuclein concentration. In this work, the reagent for assaying α-synuclein by utilizing IMR is prepared. The characterizations of the reagent and assaying α-synuclein are explored. For comparison, the assay characteristics for α-synuclein using ELISA are examined. Finally, the preliminary results for discriminating PD patients, PDD patients and healthy subjects by assaying plasma α-synuclein are reported. Although the cross sectional study done in this work cannot address the prediction of the development of PDD in PD, the results might point to the potential use of this method of measuring plasma α-synuclein in differentiating PD from PDD.
The mean value of the hydrodynamic diameters for the antibody-functionalized magnetic Fe3O4 nanoparticles was found to be 55.5 nm and the standard deviation of particle hydrodynamic diameters was 12.7 nm. By using scanning electronic microscope, the mean value of the diameters for the antibody-functionalized magnetic Fe3O4 nanoparticles was obtained as ~40 nm. The reagent is superparamagnetic with the saturated magnetization of 0.3 emu/g. According to a previously published paper , the numbers of antibody-functionalized nanoparticles in 1-ml reagent with 0.3 emu/g are around 1013. The total surface area of antibody-functionalized magnetic nanoparticles in 1-ml reagent is around 1000 cm2. In experiment, 80-μl reagent is used. The total surface area of antibody-functionalized magnetic nanoparticles in 80-μl reagent for each assay is around 80 cm2. As compared with a 96-well ELISA plate, the binding area between antibody and target bio-molecules for each well is 0.45 cm2. Thus, the binding area with IMR is almost 180 times larger than that of ELISA.
To quantify the reduction in the ac magnetic susceptibility χac of the reagent, the initial/final χac before/after the association between α-synuclein and antibodies on magnetic nanoparticles is calculated according to the temporal χac shown in Fig. 1. As addressed in previously published papers [22, 28], the confidence intervals for the determination of reduction in ac magnetic susceptibility χac of the reagent are that within the first and the last 40–50 min of the time dependent ac magnetic susceptibility χac shown in Fig. 1. In this study, the data of ac magnetic susceptibility χac of the reagent within the first and the last 45 min are used for determining the reduction in χac.
In Fig. 1, the p value for the ac magnetic susceptibility χac between the intervals of the first and the last 45 min is found to be 0.046 for PBS solution. A slight reduction in the ac magnetic susceptibility χac of reagent mixed with PBS is observed. As to 3.1-fg/ml α-synuclein solution, the p-value for the ac magnetic susceptibility χac between the intervals of the first and the last 45 min is found to be 0.007. A clear reduction in the time dependent ac magnetic susceptibility χac of reagent after being mixed with α-synuclein solution is evidenced.
The parameter A in Eq. (2) is the value of IMR (%) as φα-syn extrapolates to zero. Usually, value A is a little higher than the background level. For example, A is 1.94 % and the background level here is 1.61 %. The difference between A and the background level is predominantly due to the noises caused by the dynamic equilibrium in the association between the protein molecules and the antibody-functional magnetic nanoparticles. However, A is not used as the low-detection limit. Conventionally, the low-detection limit is defined as the concentration showing an IMR signal higher than A by three times as the standard deviation of IMR signals for a low-concentration test, i.e. 3-σ criterion. In this experiment, the standard deviation of low-concentration tests is 0.028 %. Thus, the low-detection limit is the concentration having an IMR signal of 2.02 %. Via Eq. (2), the low-detection limit for assaying α-synuclein is found to be 0.3 fg/ml.
The fitting parameters are found to be 0.189, 5.070, 13566.08 and 1.44 for A′, B′, φ o ′ and γ′ in Eq. (3). The logistic function of Eq. (3) is plotted by the dashed line in Fig. 2. The coefficient of determination R2 between the cross symbols and the dashed line is 0.999. By utilizing the 3-σ criterion, the low-detection limit of assaying α-synuclein using ELISA is 79.04 pg/ml. It is obvious IMR is more sensitive than ELISA by a factor of 250,000 for assaying α-synuclein. As mentioned, the detecting sensitivity of IMR is higher than ELISA by a factor of 200 by taking the reacting surface into account. Additional factor of 1250 might be due to the ultra-low-noise magnetic sensor, i.e. high-Tc superconducting quantum interference device (SQUID) magnetometer. High-Tc SQUID magnetometer shows a noise level of 50 fT/Hz1/2, which is lower than the magnetic signal generated by a single magnetic nanoparticle by three orders of magnitude. This implies that the reduction in ac magnetic signal resulted from a single magnetic nanoparticle due to the associating with target bio-molecule can be sensed by high-Tc SQUID magnetometer. Hence, the ultra-low-noise high-Tc SQUID magnetometer is extremely sensitive to the reduction in ac magnetic signal of reagent and shows ultra-high sensitivity in assaying bio-molecules.
Demographic characteristics of the subjects
PD with normal cognition
MMSE (mean ± SD)
29.0 ± 1.1
28.7 ± 1.2
18.7 ± 6.3
Disease duration (years)
9.3 ± 6.7
10.1 ± 5.3
Previous studies have shown that α-synuclein would be released from neurons by exocytosis into body fluids, including CSF and plasma, which contributes to cell-to-cell transmission of α-synuclein pathology in the brain . Numerous studies have focused on checking levels of either total or oligomeric α-synuclein in plasma samples from patients with PD compared with healthy controls but the results are conflicting . Since phosphorylated and fibrillar α-synuclein are the main pathological forms of the protein, one recent study observed that plasma level of phospho-α-synuclein was higher in early-stage PD samples without dementia than controls . These observations suggest the feasibility and potentiality of plasma level of α-synuclein (either total, oligomeric or phosphorylated form) could partly reflect the α-synuclein pathology in the brains of PD patients. Furthermore, cortical Lewy body/neuritic pathology is more extensive in PDD than in PD without dementia, which implies the α-synuclein burden in plasma is more severe in PDD than in PD. Our results supported this hypothesis that plasma level of α-synuclein is significantly higher in PDD than in PD with normal cognition, which level is slightly higher than healthy controls. As amyloid β plaques and tau neurofibrillary tangles, the hallmark pathologies of Alzheimer’s dementia, are also observed and correlate with cognitive status in patients with PDD , future studies incorporating assessing phospho-α-synuclein, amyloid β protein, total and phospho-tau in plasma levels of PDD are needed to better understanding the pathophysiology of PDD.
In plasma samples, heterophilic antibody is a major confounder and interferes the assaying results by sandwich ELISA method . Heterophilic antibody (HA) is defined as one of the common interference materials for immunoassay according to the guidance of Clinical and Laboratory Standards Institute (CLSI-EP-A2: Interference Testing of Clinical Chemistry) . IMR method showed low-interference and high-specificity effects in comparison with ELISA through previous researches [34–36]. The selection mechanism is based on centrifugation force contributed from oscillating magnetic nanoparticles in reagent. The details have been discussed in previous research . In fact, not only HA but also naturally existed biomolecules of frequently used drug in plasma are prevented from associating with magnetic nanoparticles via the selection mechanism . This features IMR a high-specificity methodology for clinical analysis of plasma biomarkers of Parkison’s disease.
Clinically, patients first are diagnosed with PD and in later stages of the disease may develop dementia and thus get the diagnosis of PDD; Hence, biomarkers that can predict or diagnose early stages of progression to PDD in PD subject would indeed be of clinical significance. According to the results in Fig. 4, the plasma α-synuclein in PDD patients show clearly higher level than that in PD patients (p < 0.001). This implies that plasma α-synuclein is promisingly used as a clinical parameter monitoring the progression to PDD in PD patients.
By immobilizing antibodies against α-synuclein onto magnetic nanoparticles, the reagent for assaying α-synuclein is developed. Through utilizing immunomagnetic reduction (IMR) with aid of high-Tc SQUID magnetometer, the dynamic range of assaying α-synuclein is from 0.3 fg/ml to 310 pg/ml. The ultra-sensitivity SQUID-based IMR is applied to assay human plasma α-synuclein. The preliminary results show a clear difference in the concentrations of plasma α-synuclein between healthy subjects, PD patients and PDD patients. This method seems promising to apply IMR to diagnosis of PD and PDD by assaying plasma α-synuclein.
The reagent for assaying α-synuclein consists of magnetic Fe3O4 nanoparticles (MF-DEX-0060, MagQu) functionalized monoclonal antibodies (sc-12767, Santa Crusz Biotech.) against α-synuclein. The detailed processes for immobilizing antibodies onto magnetic Fe3O4 nanoparticles are discussed in References [38, 39]. The antibody-functionalized magnetic Fe3O4 nanoparticles are dispersed in pH-7.2 phosphate-buffered saline (PBS) solution. The distribution of particle diameters is analyzed by dynamic laser scattering (Nanotrac-150, Microtrac). The magnetic concentration of reagent is measured using a vibrating sample magnetometer (HysterMag, MagQu). The bio-activity of the antibodies on the magnetic nanoparticles is examined by an IMR analyzer (XacPro-S, MagQu). The IMR analyzer is an ac magnetosusceptometer equipped with a high-Tc superconducting-quantum-interference-device (SQUID) magnetometer as a magnetic sensor. The details of the ac magnetosusceptometer are described in References [23, 40]. To establish the relationship between the IMR signal and the concentration of α-synuclein, α-synuclein (ab51189, Abcam) spiked in PBS solutions is prepared. For each measurement of the IMR signal, 80-μl reagent is mixed with 40-μl α-synuclein solution, followed by detection of the IMR signal using an IMR analyzer (XacPro-S, MagQu). Duplicate measurements are performed for IMR signals with each concentration of α-synuclein solution. In addition to the measurements of the IMR signals, a commercial ELISA kit (KHB0061, Novex) is applied to find the α-synuclein concentration dependent optical absorbance unit.
Volunteers participating in this study were given a medical checklist of major systemic diseases, operations and hospitalizations. Volunteers reporting uncontrolled medical conditions including heart failure, recent myocardial infarction (in the past 6 months), malignancy (in the past 2 years), or poorly controlled diabetes (HbA1C > 8.5) were excluded. Volunteers also received physical examinations. Eight healthy subjects and six patients with PD were enrolled in this study. The study was approved by the ethics committee and institute review board of the university hospital.
Participants were asked to provide a 10-ml non-fasting venous blood sample (K3 EDTA, lavender-top tube). Each sample was assigned a registry number following the sampling sequence; hence, colleagues in the laboratory were blind to the clinical status and the demographic data of the subjects. The blood samples were centrifuged (2500g for 15 min) within 1 h of collection and the plasma was aliquoted into cryotubes and stored at −80 °C for less than three months until being thawed for measurement via IMR. 80-μl of reagent was mixed with 40-μl of plasma for the measurement of α-synuclein concentration via IMR. Duplicate measurements were performed for each plasma sample.
Nine human plasma samples from healthy subjects aged from 38 to 73 years, 9 human plasma samples from PD patients (38–85 years old) and 14 human plasma samples from patients with PDD (60–81 years old) were used for the α-synuclein assay using IMR. PD and PDD patients were identified using clinical symptoms. It is worthy noting that PD patients are cognitively normal. All of the enrolled patients provided informed consent before undergoing the procedure and this study was approved by National Taiwan University Hospital Research Ethics Committee.
SY participated the characterization of bio-magnetic nanoparticles. CC carried out the IMR measurements. HR prepared the bio-magnetic particles. JJ participated the characterization of bio-magnetic nanoparticles. HH analyzed the experimental data. MJ and CH carried out the assessment of human plasma. All authors read and approved the final manuscript.
This work is supported by Ministry of Economic Affairs of Taiwan under grant numbers 101-EC-17-A-17-I1-0074 and by New Taipei City government under the grant number 103049 (SBIR) and by the Ministry of Science and Technology, Taiwan under grant number 104-2745-B-003 -002.
The authors declare no competing financial interest.
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- Pringsheim T, Jette N, Frolkis A, Steeves TDL. The prevalence of Parkinson’s disease: a systematic review and meta-analysis. Move Disorders. 2014;29:1583–90.View ArticleGoogle Scholar
- Kim D, Paik JH, Shin DW, Kim HS, Park CS, Kang JH. What is the clinical significance of cerebrospinal fluid biomarkers in Parkinson’s disease? Is the significance diagnostic or prognostic? Exp Neurobiol. 2014;4:352–64.View ArticleGoogle Scholar
- Tolosa E, Wenning G, Poewe W. The diagnosis of Parkinson’s disease. Lancet Neurol. 2006;5:75–86.View ArticleGoogle Scholar
- Polymeropoulos MH, Lavedan C, Leroy E, Ide SE, Dehejia A, Dutra A, Pike B, Root H, Rubenstein J, Boyer R, Stenroos ES, Chandrasekharappa S, Athanassiadou A, Papapetropoulos T, Johnson WG, Lazzarini AM, Duvoisin RC, Di IG, Golbe LI, Nussbaum RL. Mutation in the alpha-synuclein gene identified in families with Parkinson’s disease. Science. 1997;276:2045–7.View ArticleGoogle Scholar
- Ahn TB, Kim SY, Kim JY, Park SS, Lee DS, Min HJ, Kim YK, Kim SE, Kim JM, Kim HJ, Cho J, Jeon BS. Alpha-synuclein gene duplication is present in sporadic Parkinson disease. Neurology. 2008;70:43–9.View ArticleGoogle Scholar
- Krüger R, Kuhn W, Müller T, Woitalla D, Graeber M, Kösel S, Przuntek H, Epplen JT, Schols L, Riess O. Ala30Pro mutation in the gene encoding alpha-synuclein in Parkinson’s disease. Nat Genet. 1998;18:106–8.View ArticleGoogle Scholar
- Aarsland D, Andersen K, Larsen JP, Lolk A, Kragh-Sørensen P. Prevalence and characteristics of dementia in Parkinson disease: an 8-year prospective study. Arch Neurol. 2003;60:387–92.View ArticleGoogle Scholar
- Dickson DW. Alpha-synuclein and the Lewy body disorders. Curr Opin Neurol. 2001;14:423–32.View ArticleGoogle Scholar
- El-Agnaf OMA, Salem SA, Paleologou KE, Cooper LJ, Fullwood NJ, Gibson MJ, Curran MD, Court JA, Mann DMA, Ikeda SI, Cookson MR, Hardy J, Allsop D: α-synuclein implicated in Parkinson’s disease is present in extracellular biological fluids, including human plasma. FASEB J 2003;13:1945–7.Google Scholar
- Spillantini MG, Schmidt ML, Lee VM, Trojanowski JQ, Jakes R, Goedert M. Alpha-synuclein in Lewy bodies. Nature. 1997;388:839–40.View ArticleGoogle Scholar
- Giasson BI, Uryu K, Trojanowski JQ, Lee VM. Mutant and wild type human α-synucleins assemble into elongated filaments with distinct morphologies in vitro. J Biol Chem. 1999;274:7619–22.View ArticleGoogle Scholar
- Hong Z, Shi M, Chung KA, Quinn JF, Peskind ER, Galasko D, Jankovic J, Zabetian CP, Leverenz JB, Baird G, Montine TJ, Hancock AM, Hwang H, Pan C, Bradner J, Kang UJ, Jensen PH, Zhang J. DJ-1 and alpha-synuclein in human cerebrospinal fluid as biomarkers of Parkinson’s disease. Brain. 2010;133:713–26.View ArticleGoogle Scholar
- Mollenhauer B, Locascio JJ, Schulz-Schaeffer W, Sixel-Döring F, Trenkwalder C, Schlossmacher MG. α-synuclein and tau concentrations in cerebrospinal fluid of patients presenting with parkinsonism: a cohort study. Lancet Neurol. 2011;10:230–40.View ArticleGoogle Scholar
- LeWitt P, Schultz L, Auinger P, Lu M. CSF xanthine, homovanillic acid, and their ratio as biomarkers of Parkinson’s disease. Brain Res. 2011;1408:88–97.View ArticleGoogle Scholar
- van Dijk KD, Bidinosti M, Weiss A, Raijmakers P, Berendse HW, van de Berg WD. Reduced α-synuclein levels in cerebrospinal fluid in Parkinson’s disease are unrelated to clinical and imaging measures of disease severity. Eur J Neurol. 2014;21:388–94.View ArticleGoogle Scholar
- Lee PH, Lee G, Park HJ, Bang OY, Joo IS, Huh K. The plasma alpha-synuclein levels in patients with Parkinson’s disease and multiple system atrophy. J Neural Transm. 2006;113:1435–9.View ArticleGoogle Scholar
- Li QX, Mok SS, Laughton KM, McLean CA, Cappai R, Masters CL, Culvenor JG, Horne MK. Plasma alpha-synuclein is decreased in subjects with Parkinson’s disease. Exp Neurol. 2007;204:583–8.View ArticleGoogle Scholar
- Shi M, Zabetian CP, Hancock AM, Ginghina C, Hong Z, Yearout D, Chung KA, Quinn JF, Peskind ER, Galasko D, Jankovic J, Leverenz JB, Zhang J. Significance and confounders of peripheral DJ-1 and alpha-synuclein in Parkinson’s disease. Neurosci Lett. 2010;480:78–82.View ArticleGoogle Scholar
- Fjorback AW, Varming K, Jensen PH. Determination of alpha-synuclein concentration in human plasma using ELISA. Scand J Clin Lab Invest. 2007;67:431–5.View ArticleGoogle Scholar
- Chiu MJ, Horng HE, Chieh JJ, Liao SH, Chen CH, Shih BY, Yang CC, Lee CL, Chen TF, Yang SY, Hong CY, Yang HC. Multi-channel SQUID-based ultra-high-sensitivity in vitro detections for bio-markers of Alzheimer’s disease via immunomagnetic reduction. IEEE Trans Appl Supercond. 2011;21:477–80.View ArticleGoogle Scholar
- Yang CC, Yang SY, Chieh JJ, Horng HE, Hong CY, Yang HC, Chen KH, Shih BY, Chen TF, Chiu MJ. Biofunctionalized magnetic nanoparticles for specifically detecting biomarkers of Alzheimer’s disease in vitro. ACS Chem Neurosci. 2011;2:500–5.View ArticleGoogle Scholar
- Yang SY, Chieh JJ, Yang CC, Liao SH, Chen HH, Horng HE, Yang HC, Hong CY, Chiu MJ, Chen TF, Huang KW, Wu CC. Clinic applications in assaying ultra-low-concentration bio-markers using HTS SQUID-based AC magnetosusceptometer. IEEE Trans Appl Supercond. 2013;23:1600604–7.View ArticleGoogle Scholar
- Chiu MJ, Chen YF, Chen TF, Yang SY, Yang FPG, Tseng TW, Chieh JJ, Chen JCR, Tzen KY, Hua MS, Horng HE. Plasma tau as a window to the brain-negative associations with brain volume and memory function in mild cognitive impairment and early alzheimer’s disease. Human Barin Mapping. 2013;35:3132–42.View ArticleGoogle Scholar
- Tzen KY, Yang SY, Chen TF, Cheng TW, Horng HE, Wen HP, Huang YY, Shiue CY, Chiu MJ. Plasma Aβ but not tau is related to brain PiB retention in early Alzheimer’s disease. ACS Neuro Chem. 2014;5:830–6.View ArticleGoogle Scholar
- Chiu MJ, Yang SY, Horng HE, Yang CC, Chen TF, Chieh JJ, Chen HH, Chen TC, Ho CS, Chang SF, Liu HC, Hong CY, Yang HC. Combined plasma biomarkers for diagnosing mild cognition impairment and Alzheimer’s disease. ACS Chem Neurosci. 2013;4:1530–6.View ArticleGoogle Scholar
- Yang SY, Chieh JJ, Huang KW, Yang CC, Chen TC, Ho CS, Chang SF, Chen HH, Horng HE, Hong CY, Yang HC: Molecule-assisted nanoparticle clustering effect in immunomagnetic reduction assay. J Appl Phys 2013, 144903-1-5.Google Scholar
- Chieh JJ, Yang SY, Horng HE, Yu CY, Lee CL, Wu HL, Hong CY, Yang HC: Immunomagneticreduction assay using high-Tc superconducting-quantum-interference-device-based magnetosusceptometry. J Appl Phys 2010, 107:074903-1-5.Google Scholar
- Irwin DJ, Lee VMY, Trojanowski JQ. Parkinson’s disease dementia: convergence of α-synuclein, tau and amyloid-β pathologies. Nature Rev Neurosci. 2013;14:626–36.View ArticleGoogle Scholar
- Lin CH, Wu RM. Biomarkers of cognitive decline in Parkinson’s disease. Parkinsonism Relat Disord. 2015;21:431–43.View ArticleGoogle Scholar
- Foulds PG, Mitchell JD, Parker A, Turner R, Green G, Diggle P, Hasegawa M, Taylor M, Mann D, Allsop D. Phosphorylated α-synuclein can be detected in blood plasma and is potentially a useful biomarker for Parkinson’s disease. FASEB. 2011;25:4127–37.View ArticleGoogle Scholar
- Ishii R, Tokuda T, Tatebe H, Ohmichi T, Kasai T, Nakagawa M, Mizuno T, El-Agnaf OMA. Decrease in plasma levels of α-synuclein is evident in patient with Parkinson’s Disease after elimination of heterophilic antibody interference. Plos One. 2015;10:e0123162.View ArticleGoogle Scholar
- CLSI document EP7-A2 (ISBN 1-56238-584-4).Google Scholar
- Huang KW, Yang SY, Hong YW, Chieh JJ, Yang CC, Horng HE, Wu CC, Hong CY, Yang HC. Feasibility studies for assaying alpha-fetoprotein using antibody- activated magnetic nanoparticles. Int J Nanomed. 2012;7:1991–6.Google Scholar
- Yang CC, Huang KW, Yang SY, Chen HH, Chen TC, Ho CS, Chang SF, Chieh JJ, Horng HE, Hong CY, Yang HC. Development for high-accuracy in vitro assay of vascular endothelial growth factor using nanomagnetically labeled immunoassay. J NanoMater. 2013;2013:69527682-1–7.Google Scholar
- Yang CC, Yang SY, Ho CS, Chang JF, Liu BH, Huang KW. Development of antibody functionalized magnetic nanoparticles for the immunoassay of carcinoembryonic antigen: a feasibility study for clinical use. J. Nanobiotech. 2014;12:44–52.View ArticleGoogle Scholar
- Yang SY, Wang WC, Lan CB, Chen CH, Chieh JJ, Horng HE, Hong CY, Yang HC, Tsai CP, Yang CY, Cheng IC, Chung WC. Magnetically enhanced high-specificity virus detection using bio-activated magnetic nanoparticles with antibodies as labeling markers. J Virol Methods. 2010;164:14–8.View ArticleGoogle Scholar
- Horng HE, Yang SY, Huang YW, Jiang WQ, Hong CY, Yang HC. Nanomagnetic particles for SQUID-based magnetically labeled immunoassay. IEEE Trans Appl Supercond. 2005;15:668–71.View ArticleGoogle Scholar
- Yang SY, Jian ZF, Horng HE, Hong CY, Yang HC, Wu CC, Lee YH. Dual immobilization and magnetic manipulation of magnetic nanoparticles. J Magn Magn Mater. 2008;320:2688–91.View ArticleGoogle Scholar
- Chieh JJ, Yang SY, Jian ZF, Wang WC, Horng HE, Yang HC, Hong CY: Hyper-high-sensitivity wash-free magnetoreduction assay on biomolecules using high-Tc superconducting quantum interference devices. J Appl Phys 2008, 103:014703-1-6.Google Scholar