Inflammatory biomarkers and lipid metabolism parameters in women with mild cognitive impairment and dementia. (21st April 2023)

• Record Type: Journal Article
• Authors: Zorkina, Yana; Abramova, Olga; Ushakova, Valeria; Andreyuk, Denis; Andriushchenko, Nika; Pavlov, Konstantin; Savilov, Victor; Soloveva, Kristina; Kurmishev, Marat; Syunyakov, Timur; Karpenko, Olga; Andryushchenko, Alisa; Gurina, Olga; Kostyuk, Georgiy; Morozova, Anna
• Is Part Of: Women & health. Volume 63:Number 4(2023)
• Page Start: 285
• Page End: 295
• Publication Date: 2023-04-21
• Subjects: Cognitive dysfunction -- dementia -- inflammation -- lipids -- MCI; Women -- Health and hygiene -- Periodicals; Women -- Health and hygiene -- United States -- Periodicals; Women's health services -- Periodicals; Gynecology -- Periodicals; Women in medicine -- Periodicals; 613.0424405
• DOI: 10.1080/03630242.2023.2185750
• Languages: English
• ISSNs: 0363-0242

Abstract

ABSTRACT: The detection of specific markers of dementia and mild cognitive decline (MCI) could be the key to disease prevention and forehanded treatment. Female gender is one of the major risk factor for dementia. The aim of our study was to compare serum concentration of some factors related to lipid metabolism and the immune system in patients with MCI and dementia. The study was performed on women >65 years old: controls ( n = 75), diagnosed with dementia ( n = 73) and MCI ( n = 142). Patients were evaluated using Mini-Mental State Examination, Clock Drawing Test and Montreal Cognitive Assessment scales in the period 2020–2021. The level of Apo A1 and HDL was significantly decreased in patients with dementia; the level of Apo A1 was also decreased in MCI. EGF, eotaxin-1, GRO-α, and IP-10 were elevated in patients with dementia compared to the controls. IL-8, MIP-1β, sCD40L, and TNF-α levels were decreased in MCI patients and increased in patients with dementia compared to the control. Serum VEGF levels were decreased in MCI and dementia patients in comparison with the control. We hypothesize that no single marker can indicate a neurodegenerative process. Future research should focus on identifying markers to determine possible diagnostic combinations that can reliably predict neurodegeneration.