Fluid biomarkers of vascular cognitive Impairment: From vascular pathophysiology to potential clinical applications

Xi Tao1, Juan He2, Yi Zhang3

  • 1Department of Neurological Rehabilitation, Hunan Provincial People's Hospital, Hunan Normal University, Changsha 410016 Hunan, PR China; Clinical Research Center for Cerebrovascular Disease Rehabilitation in Hunan Province, Changsha 410016 Hunan, PR China; Hunan Provincial Key Laboratory of Neurorestoratology, Changsha 410016 Hunan, PR China.

Neuroscience
|June 11, 2025
PubMed

Insights

Identifying fluid biomarkers for vascular cognitive impairment (VCI) is key for early detection and treatment. Urine-derived biomarkers show promise for ultra-early VCI prediction.

Area of Science:

  • Neurology
  • Biochemistry
  • Vascular Biology

Background:

  • Vascular cognitive impairment (VCI) is cognitive decline caused by cerebrovascular issues.
  • Chronic vascular risk factors and acute events are major contributors to VCI.
  • Early detection and treatment require reliable fluid biomarkers of vascular injury.

Purpose of the Study:

  • To review current fluid biomarkers for VCI.
  • To explore biomarkers reflecting chronic vascular injury.
  • To highlight the potential of novel biomarker sources, like urine.

Main Methods:

  • Literature review of VCI pathogenesis and fluid biomarkers.
  • Analysis of biomarkers from blood, cerebrospinal fluid, and urine.
  • Discussion of biomarker categories including proteins, inflammatory mediators, and miRNAs.

Main Results:

  • VCI involves arterial lesions, blood-brain barrier disruption, and impaired drainage.
  • Biomarkers include neurodegenerative proteins, inflammatory mediators, oxidative stress markers, and miRNAs.
  • 8-hydroxydeoxyguanosine in urine is a notable exception to blood/CSF biomarkers.

Conclusions:

  • Combining fluid biomarkers can improve VCI diagnostic accuracy.
  • Urine-derived biomarkers warrant further investigation for early VCI detection.
  • Research into urine biomarkers may enable ultra-early prediction of VCI.