Streamlined resource-efficient plasma amyloid-beta mass spectrometry assay has improved biomarker performance in preclinical Alzheimer’s disease

Plasma amyloid-β (Aβ) peptides, alone or in ratio with p-tau217, show strong potential as Alzheimer's disease biomarkers. While immunoprecipitation-mass spectrometry (IP-MS) is the preferred method for plasma Aβ quantification, current assays are resource- and time-intensive. Here, we developed a streamlined IP-MS method using a cost-effective instrument that significantly improved the efficiency of an original assay by incorporating a single immunoprecipitation step, an optimized buffer system, and approximately 75% reductions in antibody and sample volume requirements. Technical validation revealed excellent dilution linearity (r²>0.99), high precision (< 10% variation), enhanced sensitivity, improved Aβ recovery, and markedly increased signal-to-noise ratios. In a large cohort of cognitively normal older adults (n = 317), the plasma Aβ1-42/Aβ1-40 ratio achieved stronger concordance with Aβ-PET and superior accuracies to identify abnormal scans (AUC 0.81 vs. 0.65 for the original assay). Notably, accuracies remained high even with plasma volumes as low as 100 μL. The improved IP-MS method enables robust and simplified plasma Aβ assessment in Alzheimer's disease, with implications for prognosis, diagnosis and intervention trials.

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Publication Details

Journal
Nature Communications
Published
2026-01-22
DOI
https://doi.org/10.1038/s41467-026-68372-w
Primary Topic
Alzheimer's disease research and treatments
Type
article
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article

Streamlined resource-efficient plasma amyloid-beta mass spectrometry assay has improved biomarker performance in preclinical Alzheimer’s disease

Kirk I. Erickson, Miloš D. Ikonomović, Lauren E. Oberlin, Nathan A. Yates et al.
Nature Communications
Alzheimer's disease research and treatments
article

Streamlined resource-efficient plasma amyloid-beta mass spectrometry assay has improved biomarker performance in preclinical Alzheimer’s disease

Kirk I. Erickson, Miloš D. Ikonomović, Lauren E. Oberlin, Nathan A. Yates, Kelsey R. Sewell, Anuradha Sehrawat, M. Gómez-Río, Chaeryon Kang, Jeremy Gu, Yijun Chen, Patricio Alejandro Solís-Urra, Charles H Hillman, Jeffrey M Burns, Xuemei Zeng, Ann D Cohen, Anna L Marsland, Thomas K Karikari, Edward McAuley, Oscar L Lopez, Arthur F Kramer, Irene Esteban-Cornejo, Victor L Villemagne, Eva María Triviño-Ibañez
article en

Abstract

Plasma amyloid-β (Aβ) peptides, alone or in ratio with p-tau217, show strong potential as Alzheimer's disease biomarkers. While immunoprecipitation-mass spectrometry (IP-MS) is the preferred method for plasma Aβ quantification, current assays are resource- and time-intensive. Here, we developed a streamlined IP-MS method using a cost-effective instrument that significantly improved the efficiency of an original assay by incorporating a single immunoprecipitation step, an optimized buffer system, and approximately 75% reductions in antibody and sample volume requirements. Technical validation revealed excellent dilution linearity (r²>0.99), high precision (< 10% variation), enhanced sensitivity, improved Aβ recovery, and markedly increased signal-to-noise ratios. In a large cohort of cognitively normal older adults (n = 317), the plasma Aβ1-42/Aβ1-40 ratio achieved stronger concordance with Aβ-PET and superior accuracies to identify abnormal scans (AUC 0.81 vs. 0.65 for the original assay). Notably, accuracies remained high even with plasma volumes as low as 100 μL. The improved IP-MS method enables robust and simplified plasma Aβ assessment in Alzheimer's disease, with implications for prognosis, diagnosis and intervention trials.

Nature CommunicationsVol. 17(1)
Northeastern University (US), Universidad Andrés Bello (CL), University of Kansas (US), University of Illinois Urbana-Champaign (US), University of Pittsburgh (US), Universidad de Granada (ES), Murdoch University (AU), Cornell University (US), Instituto de Salud Carlos III (ES), UPMC Health System (US), Geriatric Research Education and Clinical Center (US), Instituto de Investigación Biosanitaria de Granada (ES), Centro de Investigación Biomédica en Red (ES), Hospital Universitario Virgen de las Nieves (ES), VA Pittsburgh Healthcare System (US), University of Pittsburgh Medical Center (US), Translational Research Institute for Metabolism and Diabetes (US), Weill Cornell Medicine (US)
Openalex Percentile: Top 81%
Alzheimer's disease research and treatments
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