Cross-cohort NULISAseq identifies tau-anchored CSF and plasma-specific signatures across the amyloid-positive Alzheimer’s disease

Product:
CNS Disease Panel 120
Topic:
Neurology
Disease Area:
Alzheimer's Disease
Sample Type:
Plasma

Abstract

INTRODUCTION

ATN-stratified cerebrospinal fluid (CSF) proteomic signals may partly reflect classifier tau immunoassays; reproducible non-tau signals and CSF–plasma differences remain unclear.

METHODS

We profiled CSF from 60 A+ Beijing patients with Alzheimer’s disease (AD) and 875 A+ Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants using the NULISAseq CNS Disease Panel. Differential expression was assessed using a false discovery rate (FDR) < 0.05 and |log2FC|≥0.5 across three ATN contrasts. We also analyzed ADNI plasma, protein–cognition correlations, tau-adjusted associations, and nested models comparing non-tau proteins with tau biomarkers.

RESULTS

Eight CSF proteins met the cross-cohort criterion within at least one matched contrast: pTau-217, pTau-181, pTau-231, MAPT, SMOC1, MDH1, VSNL1, and FABP3. NULISA tau correlated with INNOTEST (ρ = 0.75–0.85) and Elecsys (ρ = 0.65–0.68). T and N classifications agreed for 94.6% of ADNI participants (κ = 0.880); after adjustment for CSF pTau-217, all 12 associations involving the four non-tau proteins retained their direction and FDR support. In CSF, Elecsys p-tau181 and NULISA tau-family analytes had the strongest cognitive correlations (mean |ρ| = 0.35 and 0.29–0.34, respectively), followed by FABP3 (0.24). Adding the four-protein block after tau increased cross-validated R2 across all three cross-sectional outcomes in models without diagnosis (+0.0101 to +0.0265), most clearly for the Alzheimer’s Disease Assessment Scale–Cognitive Subscale, 13-item version (ADAS-Cog13); diagnosis-conditioned models showed no stable increment beyond tau and clinical characteristics. In plasma, pTau-217 was the only analyte that met both thresholds in all three contrasts.

DISCUSSION

CSF NULISAseq identified a reproducible tau-associated signature across A+ cohorts that extended beyond the tau family. The four non-tau proteins extend the molecular profile associated with tau-defined disease state and merit further evaluation for biological stratification in independent cohorts.

Highlights

  • Eight cerebrospinal fluid (CSF) proteins replicated across cohorts in matched ATN contrasts.

  • The non-tau CSF proteins were SMOC1, MDH1, FABP3, and VSNL1.

  • Non-tau signals retained direction and false discovery rate (FDR) support after adjusting for CSF pTau-217.

  • Four-protein ΔR2 was positive before diagnosis adjustment but smaller afterward.

  • pTau-217 was the only plasma analyte to meet both thresholds in all three contrasts.

READ THE PUBLICATION

Authors and Affiliations

Lan Ding¹˒², Menghan Zheng², Simiao Wang², Wenying Liu², Yumei Liang², Siqi Xie², Ting Yang², Dandan Sheng², Shuheng Wang², Jianpeng Sheng¹, Jianping Jia¹˒²˒³˒⁴˒⁵˒⁶, and the Alzheimer’s Disease Neuroimaging Initiative

¹ Chinese Institutes for Medical Research, Beijing (CIMR), Capital Medical University, Beijing, P. R. China
² Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, P. R. China
³ Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, P. R. China
⁴ Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, P. R. China
⁵ Center of Alzheimer’s Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, P. R. China
⁶ Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, P. R. China

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.