Related Experiment Video

Updated: Jan 22, 2026

Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
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Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry

Published on: March 7, 2019

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Imaging and fluid biomarkers for prognostic stratification in cerebral amyloid angiopathy

Dandan Wang1,2, Shuxian Lv3, Yuqing Wei3

  • 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119, South 4th Ring Road, Fengtai District, Beijing, 100070, China. wangdandan0126@163.com.

Journal of Neurology
|January 20, 2026
PubMed

Insights

Cerebral amyloid angiopathy (CAA) prognosis is complex. New imaging and fluid biomarkers help predict hemorrhage and cognitive decline risks, enabling personalized treatment for this small vessel disease.

Area of Science:

  • Neurology
  • Vascular Dementia Research
  • Biomarker Discovery

Background:

  • Cerebral amyloid angiopathy (CAA) is a small vessel disease marked by Aβ deposition, causing hemorrhage and cognitive issues.
  • Prognosis for CAA patients is highly variable, with risks of recurrent bleeding and worsening cognition.

Purpose of the Study:

  • To review recent advancements in imaging and fluid biomarkers for prognostic stratification in CAA.
  • To highlight the potential of multi-modal biomarkers for predicting outcomes and guiding precision management.

Main Methods:

  • Review of advanced MRI and molecular PET techniques for imaging CAA.
  • Analysis of fluid biomarkers including plasma Aβ ratios, MMPs/TIMPs, NfL, and GFAP.
  • Discussion of integrating multi-modal indicators for prognostic prediction.

Main Results:

  • Imaging markers now include non-hemorrhagic indicators like white matter hyper-intensities (WMHs) and enlarged perivascular spaces (ePVS).
  • Fluid biomarkers reflect vascular and neuronal injury, with altered Aβ ratios and elevated NfL/GFAP levels.
  • Multi-modal integration shows promise for individualized prediction of hemorrhagic and cognitive outcomes.

Conclusions:

  • Advanced imaging and fluid biomarkers offer improved prognostic stratification for CAA.
  • Integrating multi-modal data may enable personalized prediction of outcomes and precision management strategies.
  • Standardization and validation of multi-modal models are crucial for future clinical application.

Keywords:
Cerebral amyloid angiopathyFluid biomarkerImaging biomarkerPrognosis

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