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Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank

BACKGROUND: The effects of insulin-like growth factor-1 (IGF-1) deficiency on cognitive decline have been consistently reported in animal studies, but the relationship between IGF-1 and human brain health remains controversial. Our study aimed to investigate the associations of serum IGF-1 concentra...

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Autores principales: Cao, Zhi, Min, Jiahao, Tan, Qilong, Si, Keyi, Yang, Hongxi, Xu, Chenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463341/
https://www.ncbi.nlm.nih.gov/pubmed/37608387
http://dx.doi.org/10.1186/s13195-023-01288-5
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author Cao, Zhi
Min, Jiahao
Tan, Qilong
Si, Keyi
Yang, Hongxi
Xu, Chenjie
author_facet Cao, Zhi
Min, Jiahao
Tan, Qilong
Si, Keyi
Yang, Hongxi
Xu, Chenjie
author_sort Cao, Zhi
collection PubMed
description BACKGROUND: The effects of insulin-like growth factor-1 (IGF-1) deficiency on cognitive decline have been consistently reported in animal studies, but the relationship between IGF-1 and human brain health remains controversial. Our study aimed to investigate the associations of serum IGF-1 concentrations with some brain-related disorders and neuroimaging features. METHODS: This prospective study included 369,711 participants (55.8 ± 8.1 years) from the UK biobank who had serum IGF-1 measured and were free from brain-related disorders of interest — dementia, stroke, and Parkinson’s disease (PD) — at enrollment (2006–2010). Restricted cubic splines and Cox proportional hazards models were used to detect the associations between IGF-1 concentrations and brain-related diseases. In addition, general linear regressions were applied to explore the relationship between IGF-1 concentrations and neuroimaging features (volumes of white matter, grey matter, and hippocampus and white matter hyperintensity) among a sub-sample of 36,458 participants with magnetic resonance imaging data collected since 2014. RESULTS: During a median follow-up of 12.6 years, a total of 4,857 dementia, 6,240 stroke, and 2,116 PD cases were documented. The dose–response analyses yielded U-shaped relationships between IGF-1 concentrations and risks of dementia and stroke (P < 0.001 for non-linearity), with the lowest risks at 18 nmol/L and 26 nmol/L, respectively. A positive linear relationship was observed between IGF-1 concentrations and risk of PD (P = 0.163 for non-linearity). Moreover, neuroimaging analyses showed that higher IGF-1 concentrations were associated with greater volumes of white matter (β = 2.98 × 10(–4), P < 0.001) and hippocampus (β = 3.37 × 10(–4), P = 0.002) and smaller white matter hyperintensity (β = -3.12 × 10(–3), P < 0.001). CONCLUSIONS: Apart from the diverse associations with neuroimaging features, both low and high IGF-1 concentrations are associated with increased risks of dementia and stroke and higher IGF-1 concentrations are linked to a higher risk of PD, highlighting the potential of IGF-1 as a biomarker for risk stratification of brain health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01288-5.
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spelling pubmed-104633412023-08-30 Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank Cao, Zhi Min, Jiahao Tan, Qilong Si, Keyi Yang, Hongxi Xu, Chenjie Alzheimers Res Ther Research BACKGROUND: The effects of insulin-like growth factor-1 (IGF-1) deficiency on cognitive decline have been consistently reported in animal studies, but the relationship between IGF-1 and human brain health remains controversial. Our study aimed to investigate the associations of serum IGF-1 concentrations with some brain-related disorders and neuroimaging features. METHODS: This prospective study included 369,711 participants (55.8 ± 8.1 years) from the UK biobank who had serum IGF-1 measured and were free from brain-related disorders of interest — dementia, stroke, and Parkinson’s disease (PD) — at enrollment (2006–2010). Restricted cubic splines and Cox proportional hazards models were used to detect the associations between IGF-1 concentrations and brain-related diseases. In addition, general linear regressions were applied to explore the relationship between IGF-1 concentrations and neuroimaging features (volumes of white matter, grey matter, and hippocampus and white matter hyperintensity) among a sub-sample of 36,458 participants with magnetic resonance imaging data collected since 2014. RESULTS: During a median follow-up of 12.6 years, a total of 4,857 dementia, 6,240 stroke, and 2,116 PD cases were documented. The dose–response analyses yielded U-shaped relationships between IGF-1 concentrations and risks of dementia and stroke (P < 0.001 for non-linearity), with the lowest risks at 18 nmol/L and 26 nmol/L, respectively. A positive linear relationship was observed between IGF-1 concentrations and risk of PD (P = 0.163 for non-linearity). Moreover, neuroimaging analyses showed that higher IGF-1 concentrations were associated with greater volumes of white matter (β = 2.98 × 10(–4), P < 0.001) and hippocampus (β = 3.37 × 10(–4), P = 0.002) and smaller white matter hyperintensity (β = -3.12 × 10(–3), P < 0.001). CONCLUSIONS: Apart from the diverse associations with neuroimaging features, both low and high IGF-1 concentrations are associated with increased risks of dementia and stroke and higher IGF-1 concentrations are linked to a higher risk of PD, highlighting the potential of IGF-1 as a biomarker for risk stratification of brain health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01288-5. BioMed Central 2023-08-22 /pmc/articles/PMC10463341/ /pubmed/37608387 http://dx.doi.org/10.1186/s13195-023-01288-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cao, Zhi
Min, Jiahao
Tan, Qilong
Si, Keyi
Yang, Hongxi
Xu, Chenjie
Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title_full Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title_fullStr Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title_full_unstemmed Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title_short Circulating insulin-like growth factor-1 and brain health: Evidence from 369,711 participants in the UK Biobank
title_sort circulating insulin-like growth factor-1 and brain health: evidence from 369,711 participants in the uk biobank
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463341/
https://www.ncbi.nlm.nih.gov/pubmed/37608387
http://dx.doi.org/10.1186/s13195-023-01288-5
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