1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Adiposity and the risk of dementia: mediating effects from inflammation and lipid levels

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          While midlife adiposity is a risk factor for dementia, adiposity in late-life appears to be associated with lower risk. What drives the associations is poorly understood, especially the inverse association in late-life. Using results from genome-wide association studies, we identified inflammation and lipid metabolism as biological pathways involved in both adiposity and dementia. To test if these factors mediate the effect of midlife and/or late-life adiposity on dementia, we then used cohort data from the Swedish Twin Registry, with measures of adiposity and potential mediators taken in midlife (age 40–64, n = 5999) or late-life (age 65–90, n = 7257). Associations between body-mass index (BMI), waist-hip ratio (WHR), C-reactive protein (CRP), lipid levels, and dementia were tested in survival and mediation analyses. Age was used as the underlying time scale, and sex and education included as covariates in all models. Fasting status was included as a covariate in models of lipids. One standard deviation (SD) higher WHR in midlife was associated with 25% (95% CI 2–52%) higher dementia risk, with slight attenuation when adjusting for BMI. No evidence of mediation through CRP or lipid levels was present. After age 65, one SD higher BMI, but not WHR, was associated with 8% (95% CI 1–14%) lower dementia risk. The association was partly mediated by higher CRP, and suppressed when high-density lipoprotein levels were low. In conclusion, the negative effects of midlife adiposity on dementia risk were driven directly by factors associated with body fat distribution, with no evidence of mediation through inflammation or lipid levels. There was an inverse association between late-life adiposity and dementia risk, especially where the body’s inflammatory response and lipid homeostasis is intact.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10654-022-00918-w.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: not found
          • Article: not found

          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The UK Biobank resource with deep phenotyping and genomic data

            The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Functional mapping and annotation of genetic associations with FUMA

              A main challenge in genome-wide association studies (GWAS) is to pinpoint possible causal variants. Results from GWAS typically do not directly translate into causal variants because the majority of hits are in non-coding or intergenic regions, and the presence of linkage disequilibrium leads to effects being statistically spread out across multiple variants. Post-GWAS annotation facilitates the selection of most likely causal variant(s). Multiple resources are available for post-GWAS annotation, yet these can be time consuming and do not provide integrated visual aids for data interpretation. We, therefore, develop FUMA: an integrative web-based platform using information from multiple biological resources to facilitate functional annotation of GWAS results, gene prioritization and interactive visualization. FUMA accommodates positional, expression quantitative trait loci (eQTL) and chromatin interaction mappings, and provides gene-based, pathway and tissue enrichment results. FUMA results directly aid in generating hypotheses that are testable in functional experiments aimed at proving causal relations.
                Bookmark

                Author and article information

                Contributors
                ida.karlsson@ki.se
                Journal
                Eur J Epidemiol
                Eur J Epidemiol
                European Journal of Epidemiology
                Springer Netherlands (Dordrecht )
                0393-2990
                1573-7284
                3 October 2022
                3 October 2022
                2022
                : 37
                : 12
                : 1261-1271
                Affiliations
                [1 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Department of Medical Epidemiology and Biostatistics, , Karolinska Institutet, ; 1177 Stockholm, Sweden
                [2 ]GRID grid.118888.0, ISNI 0000 0004 0414 7587, Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, , Jönköping University, ; Jönköping, Sweden
                [3 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, School of Public Health, , Sun Yat-Sen University, ; Shenzhen, China
                [4 ]GRID grid.412798.1, ISNI 0000 0001 2254 0954, School of Health Sciences, , University of Skövde, ; Skövde, Sweden
                [5 ]GRID grid.42505.36, ISNI 0000 0001 2156 6853, Center for Economic and Social Research, , University of Southern California, ; Los Angeles, USA
                [6 ]GRID grid.42505.36, ISNI 0000 0001 2156 6853, Department of Psychology, , University of Southern California, ; Los Angeles, USA
                [7 ]GRID grid.266097.c, ISNI 0000 0001 2222 1582, Department of Psychology, , University of California, ; Riverside, USA
                Author information
                http://orcid.org/0000-0003-3605-7829
                Article
                918
                10.1007/s10654-022-00918-w
                9792412
                36192662
                ede878ff-8909-49e5-96f2-97303797754c
                © The Author(s) 2022

                Open AccessThis 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/.

                History
                : 16 July 2022
                : 18 September 2022
                Funding
                Funded by: The Strategic Research Program in Epidemiology at Karolinska Institutet
                Funded by: FundRef http://dx.doi.org/10.13039/501100006636, Forskningsrådet om Hälsa, Arbetsliv och Välfärd;
                Award ID: 2018-01201
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Vetenskapsrådet;
                Award ID: 2016-03081
                Award Recipient :
                Funded by: National Institutes of Health
                Award ID: R01 AG060470
                Award Recipient :
                Funded by: Karolinska Institute
                Categories
                Neuro-Epidemiology
                Custom metadata
                © Springer Nature B.V. 2022

                Public health
                adiposity,obesity,dementia,mediation,inflammation,lipids
                Public health
                adiposity, obesity, dementia, mediation, inflammation, lipids

                Comments

                Comment on this article