- April 4, 2025
Topic/Product:
mouse, Neurology
Disease Area:
Sample Type:
Abstract
Objectives: With the emergence of several preclinical models of neurodegenerative diseases including Alzheimer’s Disease (AD), proteomic characterization of these models is needed to better understand their clinical relevance and utility in therapeutic evaluation. Along with amyloid plaques and neurofibrillary tangles, neuroinflammation is an underlying mechanism of disease progression and a multiplex proteomics approach is needed to track the temporal regulation of inflammatory and neurodegenerative processes as well as the degree to which these preclinical models recapitulate the biology of the human disease.
Methods: Previously, we developed a 250-plex Inflammation Panel and 120-plex CNS Disease Panel on the automated ARGO platform to profile key proteins such as IL6, phospho-Tau, and amyloid beta for profiling of biofluids in human studies. To provide a complementary approach for proteomic profiling in preclinical models, we have developed a 120-plex Mouse Panel for detection of cytokines, growth factors and other CNS disease targets. Plasma samples from different mouse strains were assayed at multiple input volumes. CSF and brain lysates were also evaluated. Dilutional linearity, reproducibility and overall detectability were assessed. Additionally, various preclinical models of AD and Traumatic Brain Injury were also evaluated.
Results: Our results demonstrate robust performance with 5% median intra-assay CV and 97.4% detectability in mouse plasma samples from 5 common strains. Additionally, lowering sample input volume from 10uL to 5uL has minimal impact on overall detectability (>95%), reflecting high assay sensitivity. Dilutional linearity further demonstrated good target linearity with signal-to-noise ratio over 2 for 97% of the targets in the panel. The analytical validation along with the application of the panel across different AD models demonstrates the utility of the multiplex NULISAseq™ Mouse Panel for comprehensive characterization of neurodegenerative and inflammatory markers in preclinical models.
Authors & Affiliations
Xiao-Jun Ma1, Jianjia Fan2, Li Wang1, Hayeun Ji1, Wai Hang Cheng2, Tetiana Poliakova2, Carlos Barron2, Andrew Agbay2, Shweta Iyengar1, Sean Kim1, Niyati Jhaveri1, Xiaolei Qiu1, Bingqing Zhang1, Cheryl Wellington2, Yuling Luo1
1Alamar Biosciences Inc., Fremont, California, USA; 2University of British Columbia, Vancouver, BC Canada
