Networks of inflammation, depression, and cognition in aging males and females
Chalmers, Rebecca A., Cervin, Matti, Choo, Carol, Baune, Bernhard T., Trollor, Julian N., Numbers, Katya, Sachdev, Perminder S., Brodaty, Henry, Kochan, Nicole A., and Medvedev, Oleg N. (2022) Networks of inflammation, depression, and cognition in aging males and females. Aging Clinical and Experimental Research, 34. pp. 2387-2398.
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Abstract
Background: Prioritizing the maintenance of healthy cognitive aging and personalizing preventive interventions to enhance their effectiveness is crucial as the global population ages. Systemic inflammation and depression in older people have been associated with decreased levels of cognition but results have been inconsistent.
Aims: To explore the interactive network of inflammation, depression and cognition by sex in older people.
Methods: We used novel network analysis to explore the unique associations between inflammatory biomarkers, depression, cognition, and somatic, genetic, and lifestyle risk factors in an older (aged 70–90 years), non-demented, community-dwelling sample from the longitudinal Sydney Memory and Aging Study (N = 916) at baseline and at a two-year follow-up.
Results: The networks of biomarkers, depression, cognition, and relevant covariates were significantly different between males and females. A stable negative link between depression and cognition was found in females only; a stable positive association between biomarker interleukin-6 and depression was found in females only; and a stable positive association between biomarker interleukin-8 and alcohol was found in females only. For both males and females, a stable, positive relationship was found between the presence of APOE-ε4 gene and biomarker C-reactive protein; between education and cognition; and between biomarker interleukin-6 and all other biomarkers.
Conclusions: These findings suggest different psychophysiological mechanisms underlie the interactive network of biomarkers, depression and cognition in males and females that should be considered when designing personalized preventive interventions to maintain cognitively healthy aging.
| Item ID: | 76594 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1720-8319 |
| Keywords: | Aging, Biomarkers, Cognition, Depression, Network analysis |
| Copyright Information: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Funders: | National Health and Medical Research Council (NHMRC) |
| Projects and Grants: | NHMRC ID350833, NHMRC ID568969, NHMRC APP1093083 |
| Date Deposited: | 27 Mar 2023 01:50 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3204 Immunology > 320403 Autoimmunity @ 35% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320210 Geriatrics and gerontology @ 30% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320221 Psychiatry (incl. psychotherapy) @ 35% |
| SEO Codes: | 20 HEALTH > 2001 Clinical health > 200104 Prevention of human diseases and conditions @ 50% 20 HEALTH > 2001 Clinical health > 200105 Treatment of human diseases and conditions @ 50% |
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