AD/PD 2024: Development of NULISAseq CNS Disease Panel 120 for Comprehensive Proteomic Profiling of Neurodegenerative Diseases

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Abstract

Objectives: The pursuit of blood biomarkers for neurodegenerative diseases (NDDs) has been hampered by the lack of a proteomic tool with the required sensitivity to detect exceedingly low levels of brain-derived proteins in blood. We recently developed a novel proteomic technology called NULISA™ with attomolar sensitivity and high multiplexing in a fully automated system. In this study, we developed the NULISAseq™ CNS Disease Panel 120, a highly multiplexed assay designed to characterize key hallmarks of NDDs in blood and cerebrospinal fluid (CSF). We evaluated the performance of this panel in plasma and CSF samples from NDD patients and healthy controls.

Methods: A 120-plex panel including known disease markers such as neurofilament light, synuclein A and phosphorylated Tau (p-Tau181, p-Tau217, and p-Tau231) was developed and used to analyze plasma (n=40) and CSF (n=16) samples from NDD patients and age-matched controls. Target detectability and assay precision were assessed, and linear regression analysis was performed for each target for differential abundance between disease and controls.

Results: We developed a CNS disease panel of 120 targets implicated in various pathways and processes characteristic of NDDs. Using 10 µL plasma or CSF, NULISA demonstrated high sensitivity detecting ~94% of the targets in plasma and ~81% in CSF and high precision with median CV of plasma 5.4% and median CV of CSF 9.1%. Linear regression analysis identified both known and novel proteins with significant differences in abundance between disease and age-matched controls.

Conclusion: We developed a comprehensive CNS disease-targeted panel for the NULISA platform to address the growing demand for blood-based biomarker discovery and validation. This study demonstrated the potential of the NULISA CNS disease panel to advance research in blood-based biomarkers for early neurodegenerative disease detection and monitoring and eventually therapeutic intervention.

Steve Williams, MD, PhD

CSO

Dr. Willams serves as the company’s Chief Scientific Officer. He was previously Chief Medical Officer at Standard Biotools and at SomaLogic where he pioneered the discipline for discovery and validation of predictive, diagnostic and prognostic models using machine-learning applied to large-plex proteomics. 20 such tests were used for drug characterization, safety and efficacy when incorporated in clinical drug trials at Pharma/Biotech and 17 different multivariate tests were validated and translated into regulated healthcare uses. Prior to SomaLogic, Dr. Williams was at Pfizer in the UK and the USA as a clinical triallist in Translational Medicine, and subsequently as VP, Global Clinical Technology. He sat on the National Advisory Council for the National Institute of Biomedical Imaging and Bioengineering, the Executive Committee for the FNIH Biomarkers Consortium, and worked with FDA and PhRMA on developing evidentiary standards for biomarker qualification. Dr. William’s medical training was in London, at Charing Cross and Westminster Medical School, followed by a PhD in medicine/physiology at the same institution and training in Radiology at the University of Newcastle Upon Tyne. Steve is co-inventor on 26 proteomics patents and author/coauthor on multiple foundational proteomics manuscripts.

Justin McAnear

CFO

Mr. McAnear serves as the company’s Chief Financial Officer. He brings over 25 years of operational and financial leadership experience across various sectors and was instrumental in taking 10x Genomics public in 2019, serving as its CFO for over five years. Mr. McAnear served for over 3 years as Tesla’s VP of Worldwide Finance and Operations, supporting landmark initiatives such as the Model X and Model 3 launches and Solar City acquisition.  He also held various roles at Apple and J&J earlier in his career and served as a naval officer and aviator for over 9 years.