Abstract:Background: The identification of reliable biomarkers in Parkinson’s disease (PD) would provide much needed diagnostic accuracy, a means of monitoring progression, objectively measuring treatment response, and potentially allowing patient stratification within clinical trials. Whilst the assessment of total alpha-synuclein in biofluids has been identified as a promising biomarker, conflicting trends in these levels across patient plasma samples relative to controls has limited its use. Different commercially a… Show more
“…The findings that plasma α-syn levels are higher in PD patients compared with HCs, controlling for age and sex, using the ultrasensitive Simoa HD-X platform, are consistent with previous research results (Ng et al, 2019;Youssef et al, 2021). Studies using other platform immunoassays, such as immunomagnetic reduction (IMR), Biolegend, and Mesoscale Discovery, also report elevated plasma α-synuclein in PD patients compared with controls (Chang et al, 2019;Youssef et al, 2021), although there are some conflicting reports using similar platforms (Besong-Agbo et al, 2013;Foulds et al, 2013). In view of our findings, it may be less important to use platforms with higher sensitivity and more important to consider pre-analytical factors, including hemolysis and patients' demographic data.…”
The use of a diagnostic panel comprising multiple biomarkers has the potential to accurately diagnose Parkinson’s disease (PD). However, a panel consisting solely of plasma biomarkers to diagnose PD is not available. This study aimed to examine the diagnostic ability of plasma biomarker panels for de novo PD using novel digital ultrasensitive immunoassay technology. We recruited 45 patients with de novo PD and 20 healthy controls (HCs). The concentrations of plasma α‐synuclein (α‐syn), amyloid β‐42 (Aβ42), Aβ40, phosphorylated tau 181 (p‐tau181), neurofilament light (NFL), and glial fibrillary acidic protein (GFAP) were quantified using the ultrasensitive single molecule array (Simoa) platform. Patients with de novo PD had higher plasma levels of α‐syn and p‐tau181 than HCs, adjusting for age and sex. Plasma levels of α‐syn and p‐tau181 were positively correlated in de novo PD patients. Higher plasma α‐syn levels were significantly associated with worse Unified Parkinson’s Disease Rating Scale (UPDRS) Part III motor scores, modified Hoehn and Yahr (H‐Y) stages, and increased risk of PD with mild cognitive impairment (PD‐MCI). Higher plasma p‐tau181 concentrations were linked to worse H‐Y stages. The diagnostic panel using plasma α‐syn and p‐tau181, combined with age and sex, showed good performance in discriminating de novo PD patients from HCs (area under the curve = 0.806). These findings suggest that plasma α‐syn and p‐tau181 together may be a promising diagnostic biomarker panel for de novo PD patients.
“…The findings that plasma α-syn levels are higher in PD patients compared with HCs, controlling for age and sex, using the ultrasensitive Simoa HD-X platform, are consistent with previous research results (Ng et al, 2019;Youssef et al, 2021). Studies using other platform immunoassays, such as immunomagnetic reduction (IMR), Biolegend, and Mesoscale Discovery, also report elevated plasma α-synuclein in PD patients compared with controls (Chang et al, 2019;Youssef et al, 2021), although there are some conflicting reports using similar platforms (Besong-Agbo et al, 2013;Foulds et al, 2013). In view of our findings, it may be less important to use platforms with higher sensitivity and more important to consider pre-analytical factors, including hemolysis and patients' demographic data.…”
The use of a diagnostic panel comprising multiple biomarkers has the potential to accurately diagnose Parkinson’s disease (PD). However, a panel consisting solely of plasma biomarkers to diagnose PD is not available. This study aimed to examine the diagnostic ability of plasma biomarker panels for de novo PD using novel digital ultrasensitive immunoassay technology. We recruited 45 patients with de novo PD and 20 healthy controls (HCs). The concentrations of plasma α‐synuclein (α‐syn), amyloid β‐42 (Aβ42), Aβ40, phosphorylated tau 181 (p‐tau181), neurofilament light (NFL), and glial fibrillary acidic protein (GFAP) were quantified using the ultrasensitive single molecule array (Simoa) platform. Patients with de novo PD had higher plasma levels of α‐syn and p‐tau181 than HCs, adjusting for age and sex. Plasma levels of α‐syn and p‐tau181 were positively correlated in de novo PD patients. Higher plasma α‐syn levels were significantly associated with worse Unified Parkinson’s Disease Rating Scale (UPDRS) Part III motor scores, modified Hoehn and Yahr (H‐Y) stages, and increased risk of PD with mild cognitive impairment (PD‐MCI). Higher plasma p‐tau181 concentrations were linked to worse H‐Y stages. The diagnostic panel using plasma α‐syn and p‐tau181, combined with age and sex, showed good performance in discriminating de novo PD patients from HCs (area under the curve = 0.806). These findings suggest that plasma α‐syn and p‐tau181 together may be a promising diagnostic biomarker panel for de novo PD patients.
“…Less sensitive platforms might not be able to measure low-abundance species, therefore overlooking and de facto flattening the contribution of these proteins to total ␣SYN levels, compared to measurements obtained by ultrasensitive platforms with a much lower limit of detection. For instance, the increased ␣SYN levels in plasma of PD patients observed with the ultrasensitive Quanterix assay compared to other less sensitive methods could be related to the increased sensitivity of this platform, which may facilitate the detection and quantitation of low-abundance forms of ␣SYN, as discussed recently in [21]. On the other hand, assays with low dynamic ranges of their standard curves and low upper limits of quantification (ULOQ) would have decreased sensitivity and might account for saturation of the signal when certain species are highly abundant in the analyzed matrix.…”
Section: Discussionmentioning
confidence: 96%
“…This was mainly following the seminal discovery that mutations in the SNCA gene encoding ␣SYN cause familial PD [10,11], and that aggregated and post-translationally modified (PTM) forms of ␣SYN, including phosphorylated, nitrated, ubiquitinated, and truncated species, are key components of Lewy bodies (LB) and Lewy neurites, the main neuropathological hallmark of PD and other synucleinopathies [12][13][14][15]. Furthermore, the finding that different ␣SYN proteoforms could be detected in biological fluids (cerebrospinal fluid (CSF), plasma, red blood cells (RBC), and saliva [16][17][18][19][20][21][22][23][24][25][26][27][28][29] as well as in peripheral tissues (skin, intestinal mucosa, submandibular gland) [30][31][32][33] stimulated interest in ␣SYN as a potential disease biomarker for early diagnosis of PD, and for the differentiation between PD and other synucleinopathies [27,[34][35][36].…”
Background: The development of therapeutics for Parkinson’s disease (PD) requires the establishment of biomarker assays to enable stratifying patients, monitoring disease progression, and assessing target engagement. Attempts to develop diagnostic assays based on detecting levels of the α-synuclein (αSYN) protein, a central player in the pathogenesis of PD, have yielded inconsistent results. Objective: To determine whether the three commercial kits that have been extensively used for total αSYN quantification in human biological fluids (from Euroimmun, MSD, and Biolegend) are capable of capturing the diversity and complexity of relevant αSYN proteoforms. Methods: We investigated and compared the ability of the different assays to detect the diversity of αSYN proteoforms using a library of αSYN proteins that comprise the majority of disease-relevant αSYN variants and post-translational modifications (PTMs). Results: Our findings showed that none of the three tested immunoassays accurately capture the totality of relevant αSYN species, and that these assays are unable to recognize most disease-associated C-terminally truncated variants of αSYN. Moreover, several N-terminal truncations and phosphorylation/nitration PTMs differentially modify the level of αSYN detection and recovery by different immunoassays, and a CSF matrix effect was observed for most of the αSYN proteoforms analyzed by the three immunoassays. Conclusion: Our results show that the tested immunoassays do not capture the totality of the relevant αSYN species and therefore may not be appropriate tools to provide an accurate measure of total αSYN levels in samples containing modified forms of the protein. This highlights the need for next generation αSYN immunoassays that capture the diversity of αSYN proteoforms.
“…Less sensitive platforms might not be able to measure low-abundance species, therefore overlooking and de facto flattening the contribution of these proteins to total αSYN levels, compared to that obtained by ultrasensitive platforms with a much lower limit of detection. For instance, the increased αSYN levels in plasma from PD patients observed with the ultrasensitive Quanterix assay compared to other less sensitive methods could be related to the increased sensitivity of this platform, which may facilitate the detection and quantitation of low-abundance forms of αSYN, as discussed recently in [21]. On the other hand, assays with low dynamic ranges of their standard curves and low upper limits of quantification (ULOQ) will have decreased sensitivity and might account for saturation of the signal when certain species are highly abundant in the analyzed matrix.…”
Section: Discussionmentioning
confidence: 99%
“…This was mainly following the seminal discovery that mutations in the SNCA gene encoding αSYN cause familial PD [10,11] and that aggregated and posttranslationally modified (PTM) forms of αSYN, including phosphorylated, nitrated, ubiquitinated, and truncated species, are key components of Lewy bodies (LB) and Lewy neurites, the main neuropathological hallmark of PD and other synucleinopathies [12][13][14], [15]. Furthermore, the finding that different αSYN proteoforms could be detected in biological fluids (cerebrospinal fluid (CSF), plasma and red blood cells (RBC), and saliva) [16][17] [18][19][20][21][22][23][24][25][26][27][28][29] as well as in peripheral tissues (skin, intestinal mucosa, submandibular gland) [30][31][32][33] stimulated interest in αSYN as a potential disease biomarker for the early diagnosis of PD and for differentiation between PD and other synucleinopathies [25,[34][35][36].…”
Background: The development of therapeutics for Parkinsons disease (PD) requires the establishment of biomarker assays to enable stratifying patients, monitoring disease progression and assessing target engagement. Attempts to develop diagnostic assays based on detecting levels of the alpha-synuclein (aSYN) protein, a central player in the pathogenesis of PD, have yielded inconsistent results. Objective: To determine whether the three commercial kits that have been extensively used for total aSYN quantification in human biological fluids (from Euroimmun, MSD, and Biolegend) are capable of capturing the diversity and complexity of relevant aSYN proteoforms. Methods: We investigated and compared the ability of the different assays to detect the diversity of aSYN proteoform using a library of aSYN proteins that compromise the majority of disease-relevant aSYN variants and post-translational modification. Results: Our findings showed that none of the three tested immunoassays accurately capture the totality of relevant aSYN species and are unable to recognize most disease-associated C-terminally truncated variants of aSYN. Moreover, several N-terminal truncations and phosphorylation/nitration differentially modify the level of aSYN detection and recovery by different immunoassays, and a CSF matrix effect was observed for most of the aSYN proteoforms analyzed by the three immunoassays. Conclusions: Our results showed that these immunoassays do not capture the totality of the relevant aSYN species and therefore may not be appropriate tools to provide an accurate measure of total aSYN levels in samples containing modified forms of the protein. This highlights the need for next-generation aSYN immunoassays that capture the diversity of aSYN proteoforms.
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