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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
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.
Background:
White matter hyperintensities (WMH) are established markers of presumed cerebrovascular disease and are associated with cognitive decline. Despite growing recognition of heart-brain interactions, longitudinal evidence linking cardiac function to WMH development remains limited, partly due to reliance on cross-sectional designs. This study investigates whether midlife echocardiographic parameters were linked to subsequent WMH burden 5-7 years later in participants from the National Survey for Health and Development (NSHD) Neuroimaging sub-study (Insight46).
Method:
We analysed data from 445 participants in the NSHD sub-study. Echocardiographicmeasurements at age 60-64 years included systolic, diastolic, and structural parameters. Brain MRI at age 69-71 years enabled automated WMH (mm3) quantification globally and across regions/depths. Key demographical and clinical details are provided in Table 1. Missing data (7%) were imputed with the MICE method. Associations between echocardiographic parameter and WMH volumes were examined using generalised linear models with gamma distribution, adjusting for demographic, cardiovascular, and socioeconomic factors. We applied the Benjamini-Hochberg procedure for multiple comparison correction. Potential non-linear relationships were explored using quadratic models and generalised additive models.
Result:
Left atrial volume indexed for body surface area (LAV/BSA) showed the strongest association with global WMH (2.0% increase per unit, 95% CI 0.41-3.66%, p = 0.014), equating to approximately 60 mm3 increase. Figure 1 presents the forest plot summarising these associations across all echocardiographic biomarkers. Regional analyses indicated pronounced frontal lobe effects for both LAV/BSA (2.4% increase, p = 0.005) and E/e' ratio (7.9% increase, p = 0.017); LAV/BSA was associated with WMH across all white matter layers, whereas E/e' ratio was most evident in intermediate layers. Figure 2 provides a heat-map illustrating these spatial patterns. End systolic volume showed a non-linear association with WMH (quadratic term, p = 0.001), suggesting complex interactions CONCLUSION: In this study, echocardiographic parameters, particularly left atrial measures, demonstrated significant associations with subsequent WMH burden over 5-7 years. Although these findings remain observational and do not confirm causality, they support the integration of cardiac assessments into comprehensive risk profiling for age-related brain changes. Future work should clarify whether interventions aiming to optimise cardiac health can mitigate WMH accumulation and related cognitive risks in later life.
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