Serum MHPG strongly predicts conversion to Alzheimer's disease in behaviorally characterized subjects with Down syndrome
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Journal of Alzheimer's disease
, p. 871-891
University of Antwerp
Background: Down syndrome (DS) is the most prevalent genetic cause of intellectual disability. Early-onset Alzheimer's disease (AD) frequently develops in DS and is characterized by progressive memory loss and behavioral and psychological signs and symptoms of dementia (BPSD). Predicting and monitoring the progression of AD in DS is necessary to enable adaptive caretaking. Objective: Reliable blood biomarkers that aid the prediction of AD are necessary, since cerebrospinal fluid sampling is rather burdensome, particularly for people with DS. Here, we investigate serum levels of eight biogenic amines and their metabolites in relation to dementia staging and probable BPSD items. Methods: Using RP-HPLC with electrochemical detection, (nor)adrenergic (NA/A and MHPG), serotonergic (5-HT and 5-HIAA), and dopaminergic (DA, HVA, and DOPAC) compounds were quantified in the serum of DS subjects with established AD at baseline (n = 51), DS subjects without AD (n = 50), non-demented DS individuals that converted to AD over time (n = 50), and, finally, healthy non-DS controls (n = 22). Results: Serum MHPG levels were significantly lower in demented and converted DS subjects (p < 0.0001) compared to non-demented DS individuals and healthy controls. Those subjects with MHPG levels below median had a more than tenfold increased risk of developing dementia. Furthermore, significant correlations were observed between monoaminergic serum values and various probable BPSD items within each DS group. Conclusion: Decreased serum MHPG levels show great potential as biomarker to monitor and predict conversion to AD in DS. Moreover, significant monoaminergic alterations related to probable BPSD items, suggesting that monoaminergic dysregulation is an underlying biological mechanism, and demonstrating the need to develop a validated rating scale for BPSD in DS.