Identification of optimal biomarker ranges for assessing cognitive and brain health

Until now research has focussed on identifying risk factors for impairment, rather than defining ranges of biomarkers associated with optimal cognitive health. Our previous work showed that high levels of glucose in the normal population are associated with brain atrophy suggesting that we do not know the optimal level of glucose for cognitive health maintenance. We will estimate the levels of biomarkers (e.g., MRI, blood glucose, vitamin D, HDL, LDL, blood pressure levels, adiposity, CRP, GFR) associated with the optimal ranges of neurocognitive outcomes in cohort studies stratified by age and sex. (PATH, AusDiab, COSMIC).

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