Biomarkers

Lucas He1, Jo Barnes2, Zerui Li3

  • 1MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.

Insights

Midlife cardiac function, especially left atrial measures, is linked to white matter hyperintensities (WMH) 5-7 years later. These findings suggest cardiac health impacts brain aging and cognitive decline risk.

Area of Science:

  • Cardiology
  • Neurology
  • Gerontology

Background:

  • White matter hyperintensities (WMH) are indicators of cerebrovascular disease and linked to cognitive decline.
  • Longitudinal data on heart-brain interactions and WMH development are limited.
  • This study examined midlife cardiac function's association with later WMH burden.

Purpose of the Study:

  • To investigate the longitudinal relationship between midlife echocardiographic parameters and subsequent WMH burden.
  • To explore cardiac function as a predictor of age-related brain changes.
  • To assess heart-brain interactions in a cohort study.

Main Methods:

  • Analysis of 445 participants from the National Survey for Health and Development (NSHD) Neuroimaging sub-study (Insight46).
  • Midlife echocardiographic measurements (systolic, diastolic, structural) at ages 60-64.
  • Brain MRI at ages 69-71 for automated WMH quantification, with statistical analysis using generalized linear models and Benjamini-Hochberg correction.

Main Results:

  • Left atrial volume indexed for body surface area (LAV/BSA) showed the strongest association with global WMH.
  • Regional analysis revealed pronounced frontal lobe effects for LAV/BSA and E/e' ratio.
  • End systolic volume demonstrated a non-linear association with WMH, indicating complex interactions.

Conclusions:

  • Midlife echocardiographic parameters, particularly left atrial measures, are significantly associated with subsequent WMH burden.
  • Findings support integrating cardiac assessments into risk profiling for age-related brain changes.
  • Further research is needed to determine if cardiac health interventions can mitigate WMH accumulation and cognitive risks.
Abstract