Cargando…
The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage
AIMS/HYPOTHESIS: Type 2 diabetes, hyperglycaemia and insulin resistance are associated with cognitive impairment and dementia, but causal inference studies using Mendelian randomisation do not confirm this. We hypothesised that early-life cognition and social/educational advantage may confound the r...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731197/ https://www.ncbi.nlm.nih.gov/pubmed/31359084 http://dx.doi.org/10.1007/s00125-019-4949-3 |
_version_ | 1783449638501613568 |
---|---|
author | James, Sarah-Naomi Wong, Andrew Tillin, Therese Hardy, Rebecca Chaturvedi, Nishi Richards, Marcus |
author_facet | James, Sarah-Naomi Wong, Andrew Tillin, Therese Hardy, Rebecca Chaturvedi, Nishi Richards, Marcus |
author_sort | James, Sarah-Naomi |
collection | PubMed |
description | AIMS/HYPOTHESIS: Type 2 diabetes, hyperglycaemia and insulin resistance are associated with cognitive impairment and dementia, but causal inference studies using Mendelian randomisation do not confirm this. We hypothesised that early-life cognition and social/educational advantage may confound the relationship. METHODS: From the population-based British 1946 birth cohort, a maximum number of 1780 participants had metabolic variables (type 2 diabetes, insulin resistance [HOMA2-IR] and HbA(1c)) assessed at age 60–64 years, and cognitive state (Addenbrooke’s Cognitive Examination III [ACE-III]) and verbal memory assessed at age 69 years. Earlier-life measures included socioeconomic position (SEP), cognition at age 8 years and educational attainment. Polygenic risk scores (PRSs) for type 2 diabetes were calculated. We first used a PRS approach with multivariable linear regression to estimate associations between PRSs and metabolic traits and later-life cognitive state. Second, using a path model approach, we estimated the interrelationships between earlier-life measures, features of mid-life type 2 diabetes and cognitive state at age 69 years. All models were adjusted for sex. RESULTS: The externally weighted PRS for type 2 diabetes was associated with mid-life metabolic traits (e.g. HOMA2-IR β = 0.08 [95% CI 0.02, 0.16]), but not with ACE-III (β = 0.04 [−0.02, 0.90]) or other cognitive outcomes. While there was an association between HOMA2-IR and subsequent ACE-III (β = −0.09 [−0.15, −0.03]), path modelling showed no direct effect (β = −0.01 [−0.06, 0.03]) after accounting for the association between childhood SEP and education with HOMA2-IR. The same pattern was observed for later-life verbal memory. CONCLUSIONS/INTERPRETATION: Associations between type 2 diabetes and mid-life metabolic traits with subsequent cognitive state do not appear causal, and instead they may be explained by SEP in early life, childhood cognition and educational attainment. Therefore, glucose-lowering medication may be unlikely to combat cognitive impairment in older age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-019-4949-3) contains peer-reviewed but unedited supplementary material, which is available to authorised users. |
format | Online Article Text |
id | pubmed-6731197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-67311972019-09-20 The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage James, Sarah-Naomi Wong, Andrew Tillin, Therese Hardy, Rebecca Chaturvedi, Nishi Richards, Marcus Diabetologia Article AIMS/HYPOTHESIS: Type 2 diabetes, hyperglycaemia and insulin resistance are associated with cognitive impairment and dementia, but causal inference studies using Mendelian randomisation do not confirm this. We hypothesised that early-life cognition and social/educational advantage may confound the relationship. METHODS: From the population-based British 1946 birth cohort, a maximum number of 1780 participants had metabolic variables (type 2 diabetes, insulin resistance [HOMA2-IR] and HbA(1c)) assessed at age 60–64 years, and cognitive state (Addenbrooke’s Cognitive Examination III [ACE-III]) and verbal memory assessed at age 69 years. Earlier-life measures included socioeconomic position (SEP), cognition at age 8 years and educational attainment. Polygenic risk scores (PRSs) for type 2 diabetes were calculated. We first used a PRS approach with multivariable linear regression to estimate associations between PRSs and metabolic traits and later-life cognitive state. Second, using a path model approach, we estimated the interrelationships between earlier-life measures, features of mid-life type 2 diabetes and cognitive state at age 69 years. All models were adjusted for sex. RESULTS: The externally weighted PRS for type 2 diabetes was associated with mid-life metabolic traits (e.g. HOMA2-IR β = 0.08 [95% CI 0.02, 0.16]), but not with ACE-III (β = 0.04 [−0.02, 0.90]) or other cognitive outcomes. While there was an association between HOMA2-IR and subsequent ACE-III (β = −0.09 [−0.15, −0.03]), path modelling showed no direct effect (β = −0.01 [−0.06, 0.03]) after accounting for the association between childhood SEP and education with HOMA2-IR. The same pattern was observed for later-life verbal memory. CONCLUSIONS/INTERPRETATION: Associations between type 2 diabetes and mid-life metabolic traits with subsequent cognitive state do not appear causal, and instead they may be explained by SEP in early life, childhood cognition and educational attainment. Therefore, glucose-lowering medication may be unlikely to combat cognitive impairment in older age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-019-4949-3) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2019-07-29 2019 /pmc/articles/PMC6731197/ /pubmed/31359084 http://dx.doi.org/10.1007/s00125-019-4949-3 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article James, Sarah-Naomi Wong, Andrew Tillin, Therese Hardy, Rebecca Chaturvedi, Nishi Richards, Marcus The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title | The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title_full | The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title_fullStr | The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title_full_unstemmed | The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title_short | The effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
title_sort | effect of mid-life insulin resistance and type 2 diabetes on older-age cognitive state: the explanatory role of early-life advantage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731197/ https://www.ncbi.nlm.nih.gov/pubmed/31359084 http://dx.doi.org/10.1007/s00125-019-4949-3 |
work_keys_str_mv | AT jamessarahnaomi theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT wongandrew theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT tillintherese theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT hardyrebecca theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT chaturvedinishi theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT richardsmarcus theeffectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT jamessarahnaomi effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT wongandrew effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT tillintherese effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT hardyrebecca effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT chaturvedinishi effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage AT richardsmarcus effectofmidlifeinsulinresistanceandtype2diabetesonolderagecognitivestatetheexplanatoryroleofearlylifeadvantage |