Quantitative Evaluation of Links between Inflammatory Markers and Alzheimer’s Disease

Objectives. To obtain quantitative assessment of the link between Alzheimer’s disease (AD) and inflammatory markers such as the enzymatic activity of leukocyte elastase (LE) and the functional activity of α1-proteinase inhibitor (α1-PI) using a logistical regression model, which was then applied to predicting the probability of AD in patients with mild cognitive impairment syndrome (MCI). Materials and methods. Mathematical analysis was run using a database containing the results of measurements of these immunological parameters (enzymatic activity of LE and functional activity of α1-PI) in the plasma of 91 patients with verified diagnoses of AD on in-patient or out-patient treatment and 37 healthy subjects of comparable age without clinical indications of somatic or mental pathology. Results and conclusions. A logistical regression model was constructed linking LE and α1-PI with the probability that a patient has AD. The model has favorable statistical properties and high predictive effectiveness. These results allow individual patients’ LE and α1-PI values to be used to generate quantitative probabilities that patients have AD. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.