A1166
Title: Biostatical models to investigate physiological mediators regarding cognition on cardio-metabolic risk factors
Authors: Sujin Kang - Imperial College London (United Kingdom) [presenting]
Abstract: While there is mounting evidence of an association between cardiovascular disease and brain health, the evidence from longitudinal cohort studies is currently inconclusive, in part because of a lack of studies with appropriate physiological measures. We aimed to investigate whether the targeted urinary metabolites and brain. MRI-derived parameters are prognostic markers regarding cognition on cardio-metabolic risk factors. Within the CARDIA Study, targeted metabolomics data was analysed by NMR spectroscopy and LC-MS, MRI data and cognitive scores for up to 606 participants aged 48-60 years at Year 30 (2015-16) and Year 25 (2010-11). A path analysis was conducted to investigate mediators of adjusted cognition on a cardio-metabolic factor measured at Year 30. Bayesian multilevel models were employed to examine cognitive decline measured at Year 25 and Year 30. Phenylalanine, aminoadipic acid, and tryptophan were mediators showing positive associations on fasting glucose in terms of hyperglycaemia, while indole-3-acetic acid showed a negative association. Cerebral blood flow in the temporal lobe white matter left and left entorhinal area showed negative associations on waist circumference in terms of (abdominal) obesity in the cohort. The multiple bio-statistical analysis approach applied here with a follow-up study may be able to recognise complex multivariate epidemiologic, pathologic, and phenotypic relationships across the disease networks that are yet unidentified.
