Comparison of NULISAseq and SIMOA methods in plasma biomarker analysis in two memory clinic and research cohorts

Abstract Background The diagnostic work‐up of Alzheimer's disease (AD) requires reliable and accurate diagnostic biomarkers to aid clinicians in making the correct diagnosis. Plasma biomarker analysis methods are emerging as cost‐effective and possibly reliable tools. The NULISAseq (Alamarbio) CNS panel has recently been commercialized and has not yet been extensively tested with previously used assays. We aimed to compare a selection of biomarkers assayed with NULISAseq against more established SIMOA methods in a memory clinic and a research cohort from Karolinska. Method A total of 176 subjects from a memory clinic cohort and a research cohort were included in this study. The clinical cohort from the Karolinska Hospital Memory Clinic included 126 patients (70W/56M, mean age 65±8 years, range 42‐86), who, after extensive investigations (including Amyloid‐PET imaging), were assigned to the following diagnostic groups: MCI Aβ+( n = 19), MCI Aβ‐( n = 29), AD( n = 51), other dementia( n = 23) and no dementia(CU)( n = 4). Further details on the general characteristics are presented in Table 1. The research cohort (ROADAD) included 30 men and 20 women (mean age 64±13 years, range 28‐86). For all 176 cases, plasma samples, taken during the investigations, were processed with NULISAseq to obtain pTau217, pTau231, pTau181, GFAP, NFL, Aβ42 and Aβ40 levels. Additionally, SIMOA assays (Quanterix‐N4PE and AlzPath) were also applied. SIMOA measurements for pTau231 and pTau181 were not available for the ROADAD cohort. Result In the entire sample, the two methods generally showed strong agreement (Figure 1) (Spearman's rho>=0.8 for pTau isoforms and GFAP). pTau217 vs pTau231 had rho=0.7 for SIMOA, while rho=0.86 for NULISA. When the two panels of measurements were compared in the clinical cohort to evaluate differences between diagnoses(Figure 2), pTau217 and GFAP levels were significantly different between MCI Aβ‐ and MCI Aβ+ regardless of the method. Comparing the diagnostic groups, pTau231 was more similar to pTau217 with the NULISA than with SIMOA method. pTau181 showed more pronounced differences within the AD spectrum with NULISA than SIMOA. Conclusion Both methods show similar results and trends, but NULISAseq produced more distinct group differences. It remains to be understood if the closer relation between pTau217 and pTau231 with NULISA is a benefit or a disadvantage compared with SIMOA methods.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_107092
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Comparison of NULISAseq and SIMOA methods in plasma biomarker analysis in two memory clinic and research cohorts

K. Blennow, Mariola Zapater‐Fajarí, Marco Bucci, Irina Savitcheva et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Comparison of NULISAseq and SIMOA methods in plasma biomarker analysis in two memory clinic and research cohorts

K. Blennow, Mariola Zapater‐Fajarí, Marco Bucci, Irina Savitcheva, Wiebke Traichel, Guglielmo Di Molfetta, Kübra Tan, Ilaria Pola, Nicholas Ashton, Nenad Bogdanovic, Konstantinos Chiotis, Henrik Zetterberg, Andrea L. Benedet, Marina Bluma
article en

Abstract

Abstract Background The diagnostic work‐up of Alzheimer's disease (AD) requires reliable and accurate diagnostic biomarkers to aid clinicians in making the correct diagnosis. Plasma biomarker analysis methods are emerging as cost‐effective and possibly reliable tools. The NULISAseq (Alamarbio) CNS panel has recently been commercialized and has not yet been extensively tested with previously used assays. We aimed to compare a selection of biomarkers assayed with NULISAseq against more established SIMOA methods in a memory clinic and a research cohort from Karolinska. Method A total of 176 subjects from a memory clinic cohort and a research cohort were included in this study. The clinical cohort from the Karolinska Hospital Memory Clinic included 126 patients (70W/56M, mean age 65±8 years, range 42‐86), who, after extensive investigations (including Amyloid‐PET imaging), were assigned to the following diagnostic groups: MCI Aβ+( n = 19), MCI Aβ‐( n = 29), AD( n = 51), other dementia( n = 23) and no dementia(CU)( n = 4). Further details on the general characteristics are presented in Table 1. The research cohort (ROADAD) included 30 men and 20 women (mean age 64±13 years, range 28‐86). For all 176 cases, plasma samples, taken during the investigations, were processed with NULISAseq to obtain pTau217, pTau231, pTau181, GFAP, NFL, Aβ42 and Aβ40 levels. Additionally, SIMOA assays (Quanterix‐N4PE and AlzPath) were also applied. SIMOA measurements for pTau231 and pTau181 were not available for the ROADAD cohort. Result In the entire sample, the two methods generally showed strong agreement (Figure 1) (Spearman's rho>=0.8 for pTau isoforms and GFAP). pTau217 vs pTau231 had rho=0.7 for SIMOA, while rho=0.86 for NULISA. When the two panels of measurements were compared in the clinical cohort to evaluate differences between diagnoses(Figure 2), pTau217 and GFAP levels were significantly different between MCI Aβ‐ and MCI Aβ+ regardless of the method. Comparing the diagnostic groups, pTau231 was more similar to pTau217 with the NULISA than with SIMOA method. pTau181 showed more pronounced differences within the AD spectrum with NULISA than SIMOA. Conclusion Both methods show similar results and trends, but NULISAseq produced more distinct group differences. It remains to be understood if the closer relation between pTau217 and pTau231 with NULISA is a benefit or a disadvantage compared with SIMOA methods.

Alzheimer s & DementiaVol. 21(S2)
Karolinska University Hospital (SE), University of Wisconsin–Madison (US), Sahlgrenska University Hospital (SE), Turku University Hospital (FI), Karolinska Institutet (SE), Turku PET Centre (FI), UK Dementia Research Institute (GB), Wisconsin Division of Public Health (US), National Hospital for Neurology and Neurosurgery (GB), University College London (GB), University of Gothenburg (SE)
Openalex Percentile: Top 29%
Dementia and Cognitive Impairment Research
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