Platelets Bioenergetics Screening Reflects the Impact of Brain Aβ Plaque Accumulation in a Rat Model of Alzheimer.
Federico A PrestiaPablo GaleanoPamela V Martino AdamiSonia Do CarmoEduardo M CastañoA Claudio CuelloLaura MorelliPublished in: Neurochemical research (2018)
Alzheimer's disease (AD) is associated to depressed brain energy supply and impaired cortical and hippocampal synaptic function. It was previously reported in McGill-R-Thy1-APP transgenic (Tg(+/+)) rats that Aβ deposition per se is sufficient to cause abnormalities in glucose metabolism and neuronal connectivity. These data support the utility of this animal model as a platform for the search of novel AD biomarkers based on bioenergetic status. Recently, it has been proposed that energy dysfunction can be dynamically tested in platelets (PLTs) of nonhuman primates. PLTs are good candidates to find peripheral biomarkers for AD because they may reflect in periphery the bioenergetics deficits and the inflammatory and oxidative stress processes taking place in AD brain. In the present study, we carried out a PLTs bioenergetics screening in advanced-age (12-14 months old) control (WT) and Tg(+/+) rats. Results indicated that thrombin-activated PLTs of Tg(+/+) rats showed a significantly lower respiratory rate, as compared to that measured in WT animals, when challenged with the same dose of FCCP (an uncoupler of oxidative phosphorylation). In summary, our results provide original evidence that PLTs bioenergetic profiling may reflect brain bioenergetics dysfunction mediated by Aβ plaque accumulation. Further studies on human PLTs from control and AD patients are required to validate the usefulness of PLTs bioenergetics as a novel blood-based biomarker for AD.
Keyphrases
- resting state
- oxidative stress
- white matter
- functional connectivity
- cerebral ischemia
- end stage renal disease
- ejection fraction
- coronary artery disease
- endothelial cells
- traumatic brain injury
- cognitive decline
- newly diagnosed
- dna damage
- machine learning
- multiple sclerosis
- prognostic factors
- peritoneal dialysis
- electronic health record
- high throughput
- signaling pathway
- induced apoptosis
- diabetic rats
- single cell
- brain injury
- artificial intelligence
- red blood cell