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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Aleksandra Beric1,2, Wenjing Lin3, Gina Jerome4

  • 1Washington University in Saint Louis, Saint Louis, MO, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

This study validates the NULISA CNS panel for Alzheimer's disease (AD) research, identifying new protein biomarkers for early detection in Autosomal Dominant AD (ADAD) mutation carriers.

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Genetics

Background:

  • Early detection of Alzheimer's disease (AD) remains a significant challenge.
  • Autosomal Dominant AD (ADAD) mutation carriers offer a unique model for studying preclinical proteomic changes.
  • The NULISA CNS panel enables multiplexed analysis of AD and inflammatory proteins in minimal cerebrospinal fluid (CSF) volumes.

Purpose of the Study:

  • To validate the NULISA CNS panel for ADAD research.
  • To identify novel protein biomarkers associated with AD-causal mutations and symptoms.
  • To assess the utility of the NULISA platform for early AD detection.

Main Methods:

  • Cross-sectional analysis of 232 CSF samples from the Dominantly Inherited Alzheimer Network (DIAN) cohort.
  • Validation of the NULISA assay through intra/inter-assay variability assessment and correlation with established immunoassays (Lumipulse, ELISA).
  • Differential abundance analysis using generalized linear models to compare mutation carriers (symptomatic vs. non-symptomatic) and non-carriers.

Main Results:

  • NULISA measurements showed strong correlations (ρ>0.80) with established assays for known AD biomarkers (Aβ40, Aβ42, pTau-181, total Tau) and emerging markers (SNAP25, NRGN, YKL40).
  • Identified 17 differentially abundant proteins in symptomatic vs. non-symptomatic carriers and 59 in carriers vs. non-carriers.
  • Enrichment analysis revealed proteins involved in cell death, glial activation, and amyloid-β response.

Conclusions:

  • The NULISA platform provides reliable and highly correlated measurements compared to established methods, validating its use in ADAD research.
  • The study identified novel proteins linked to AD-causal mutations and symptoms, expanding the biomarker landscape.
  • These findings support the potential of NULISA-identified proteins as early biomarkers for AD progression.