- February 24, 2025
Topic/Product:
DBS, Neurology
Disease Area:
Sample Type:
Abstract
Purpose: Population-wide profiling of blood-based biomarkers is important for early detection of diseases and risk assessments to ease the increasing global healthcare burden. Reliable testing requires standardized sampling, collection and storage methods particularly in remote areas with low infrastructure. With the availability of metered collection devices, dried blood spots (DBS) and dried plasma spots (DPS) have emerged as an alternative source for cross sectional and longitudinal studies across large cohorts. Due to the limited amount of sample material in DBS and DPS, proteomic analysis demands highly sensitive and multiplexed platforms for comprehensive profiling to detect key biomarkers of inflammation, neurodegeneration and disease pathology.
Methods: The NULISA Inflammation Panel 250 and CNS Disease Panel 120 were deployed to compare proteomic profiles in DBS and DPS with matched whole blood and plasma from healthy and diseased individuals. Multiple parameters such as collection devices, extraction conditions and input volumes were tested to identify optimal protocols for detection of key biomarkers on the ARGO HT platform. Correlation analysis was performed to determine concordance with paired whole blood and plasma.
Results: Preliminary data reveal high detectability for key markers such as NFL, GFAP and pTaus in DBS and DPS. Overall detectability across the panels for DBS and DPS (>85%) is comparable with detectability of proteins Overall detectability across the panels for DBS and DPS (>85%) is comparable with detectability of proteins in whole blood and plasma. Additionally, Pearson correlation analyses show high concordance in relative quantification of most proteins between matched DBS/blood and DPS/plasma samples.
Conclusion: Our data demonstrate the potential of DBS/DPS as a promising alternative for blood-based profiling with ease of collection, storage and transportation for large scale studies. The low volume requirements coupled with the high throughput automation offered with ARGO make it an ideal platform for multiplexed proteomic analysis of this unique sample type with a wide range of applications in global screening and risk profiling studies.
Authors & Affiliations
Niyati Jhaveri1, Karl Garcia1, Tsz Tam1, Li Wang1, Sean Kim1, Xiaolei Qiu1, Bingqing Zhang1, Yuling Luo1, Xiao-Jun Ma1
1Alamar Biosciences, Inc., Fremont, CA 94538
