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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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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.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

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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.

Tobias Sikosek1, Marco Heuvelman1, Jagoda Mika1

  • 1Hummingbird Diagnostics GmbH, Heidelberg, Germany.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Combining small RNA biomarkers with amyloid protein markers significantly improves early Alzheimer's disease detection. This integrated approach offers a more robust and precise diagnostic strategy than current methods alone.

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Area of Science:

  • Biomarker Discovery
  • Neuroscience
  • Genomics

Background:

  • Alzheimer's disease (AD) diagnosis relies on the AT(N) framework (amyloid, tau, neurodegeneration), but struggles with predicting cognitive decline in amyloid-positive individuals.
  • Current diagnostic limitations necessitate novel approaches for early and accurate AD detection.

Purpose of the Study:

  • To investigate the synergistic potential of combining small RNA biomarkers with protein markers for enhanced early AD detection.
  • To improve upon the predictive capabilities of existing Alzheimer's disease diagnostic frameworks.

Main Methods:

  • Utilized ultra-deep small RNA sequencing on whole blood samples from 1,913 participants (aged 50+) from the EPAD trial.
  • Employed a refined sequencing protocol to identify rare biomarker RNAs and defined amyloid groups using CSF p-tau181/Ab1-42 ratio.
  • Analyzed small RNAs for prediction of early cognitive decline and functional relevance.

Main Results:

  • Identified small RNAs that predicted early cognitive decline with an AUC of ~0.7, increasing to 0.77 in the high-amyloid subgroup.
  • Functional analysis linked these small RNAs to key dementia-related pathways, including neuronal, cardiovascular, and inflammatory processes.
  • The combined biomarker approach demonstrated superior predictive performance compared to individual marker types.

Conclusions:

  • Integrating small RNA and amyloid protein markers provides a more robust and precise method for early AD detection, addressing limitations of the AT(N) framework.
  • This synergistic diagnostic model enhances patient stratification and facilitates more effective interventions for Alzheimer's disease.
  • Small nucleolar RNAs and microRNAs show promise as key components of this advanced diagnostic strategy.