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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

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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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.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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Plasma phosphorylated tau217 discordance with amyloid status in an ethnically diverse mixed memory clinic cohort.

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Plasma eMTBR-tau243 and %p-tau217 for Biological Staging of Alzheimer Disease.

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Tau-PET and CSF MTBR-tau243 comparisons validate increased tau aggregation in females.

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[New blood-based biomarkers for Alzheimer's disease].

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Generating synthetic tau-PET scans in Alzheimer's disease from MRI, blood biomarkers and demographics with deep learning.

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Proteomic signatures of the APOE ε4 and APOE ε2 genetic variants and Alzheimer's disease.

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Related Experiment Video

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

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Biomarkers.

María Rivera Sánchez1,2,3,4, Sophie E Mastenbroek1,5,6, Shorena Janelidze1

  • 1Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.

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

Predicting dementia progression in Subjective Cognitive Decline (SCD) is crucial. Plasma p-tau217, APOE4 genotype, and cognitive tests effectively identify individuals at higher risk for dementia.

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Area of Science:

  • Neuroscience
  • Biomarkers
  • Clinical Trials

Background:

  • Identifying Subjective Cognitive Decline (SCD) patients at increased dementia risk is essential for accurate prognosis and clinical trial selection.
  • Early detection enables inclusion of individuals in early stages of neurodegenerative diseases.

Purpose of the Study:

  • To identify predictors of dementia progression in individuals with Subjective Cognitive Decline (SCD).

Main Methods:

  • Utilized data from BioFINDER-1 and BioFINDER-2 cohorts (n=324) with dementia progression information.
  • Evaluated baseline variables including plasma p-tau217, cortical thickness, cognitive tests, and APOE genotype.
  • Employed Cox regression and logistic regression models to identify dementia predictors and assess model performance using AUC.

Main Results:

  • 17.59% of SCD participants progressed to dementia within a mean of 4.20 years.
  • APOE4 homozygosis, poorer memory and executive test performance, elevated plasma p-tau217, and reduced 'AD-signature' cortical thickness were significant predictors.
  • A model combining these factors achieved high predictive accuracy (AUC 0.92).

Conclusions:

  • An algorithm incorporating plasma p-tau217, APOE4 genotype, cognitive tests, and 'AD-signature' cortical thickness can refine SCD prognosis.
  • This approach can optimize participant selection for preclinical Alzheimer's Disease (AD) trials.