Beta-Amyloid Peptide in Tears: An Early Diagnostic Marker of Alzheimer's Disease Correlated with Choroidal Thickness.
Magda GharbiyaGiacomo VisioliAlessandro TrebbastoniGiuseppe Maria AlbaneseMayra ColardoFabrizia D'AntonioMarco SegattoAlessandro LambiasePublished in: International journal of molecular sciences (2023)
We aimed to evaluate the diagnostic role of Alzheimer's disease (AD) biomarkers in tears as well as their association with retinal and choroidal microstructures. In a cross-sectional study, 35 subjects (age 71.7 ± 6.9 years) were included: 11 with prodromal AD (MCI), 10 with mild-to-moderate AD, and 14 healthy controls. The diagnosis of AD and MCI was confirmed according to a complete neuropsychological evaluation and PET or MRI imaging. After tear sample collection, β-amyloid peptide Aβ1-42 concentration was analyzed using ELISA, whereas C-terminal fragments of the amyloid precursor protein (APP-CTF) and phosphorylated tau (p-tau) were assessed by Western blot. Retinal layers and choroidal thickness (CT) were acquired by spectral-domain optical coherence tomography (SD-OCT). Aβ1-42 levels in tears were able to detect both MCI and AD patients with a specificity of 93% and a sensitivity of 81% (AUC = 0.91). Tear levels of Aβ1-42 were lower, both in the MCI ( p < 0.01) and in the AD group ( p < 0.001) when compared to healthy controls. Further, Aβ1-42 was correlated with psychometric scores ( p < 0.001) and CT ( p < 0.01). CT was thinner in the affected patients ( p = 0.035). No differences were observed for APP-CTF and p-tau relative abundance in tears. Testing Aβ1-42 levels in tears seems to be a minimally invasive, cost-saving method for early detection and diagnosis of AD.
Keyphrases
- optical coherence tomography
- rotator cuff
- diabetic retinopathy
- mild cognitive impairment
- contrast enhanced
- optic nerve
- computed tomography
- cognitive decline
- minimally invasive
- image quality
- dual energy
- positron emission tomography
- magnetic resonance imaging
- newly diagnosed
- end stage renal disease
- physical activity
- ejection fraction
- cerebrospinal fluid
- high resolution
- parkinson disease
- magnetic resonance
- pet imaging