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

• Published in: Neuroscience and behavioral physiology 2019-09, Vol.49 (7), p.910-915
• Main Authors: Simonov, A. N., Klyushnik, T. P., Androsova, L. V., Mikhaylova, N. M.
• Format: Article
• Language: English
• Subjects: Alzheimer's disease; Behavioral Sciences; Biomedical and Life Sciences; Biomedicine; Cognitive ability; Elastase; Enzymatic activity; Immunology; Leukocyte elastase; Mathematical models; Neurobiology; Neurosciences; Patients; Proteinase; Proteinase inhibitors; Quantitative analysis
• ISSN: 0097-0549; 1573-899X
• DOI: 10.1007/s11055-019-00818-9

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 (α 1 -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 α 1 -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 α 1 -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 α 1 -PI values to be used to generate quantitative probabilities that patients have AD.