Cargando…
Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities
Alzheimer’s disease is a multifactorial disorder with large heterogeneity. Comorbidities such as hypertension, hypercholesterolaemia and diabetes are known contributors to disease progression. However, less is known about their mechanistic contribution to Alzheimer’s pathology and neurodegeneration....
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481253/ https://www.ncbi.nlm.nih.gov/pubmed/37680670 http://dx.doi.org/10.1093/braincomms/fcad228 |
_version_ | 1785101934144782336 |
---|---|
author | Daniilidou, Makrina Eroli, Francesca Alanko, Vilma Goikolea, Julen Latorre-Leal, Maria Rodriguez-Rodriguez, Patricia Griffiths, William J Wang, Yuqin Pacciarini, Manuela Brinkmalm, Ann Zetterberg, Henrik Blennow, Kaj Rosenberg, Anna Bogdanovic, Nenad Winblad, Bengt Kivipelto, Miia Ibghi, Delphine Cedazo-Minguez, Angel Maioli, Silvia Matton, Anna |
author_facet | Daniilidou, Makrina Eroli, Francesca Alanko, Vilma Goikolea, Julen Latorre-Leal, Maria Rodriguez-Rodriguez, Patricia Griffiths, William J Wang, Yuqin Pacciarini, Manuela Brinkmalm, Ann Zetterberg, Henrik Blennow, Kaj Rosenberg, Anna Bogdanovic, Nenad Winblad, Bengt Kivipelto, Miia Ibghi, Delphine Cedazo-Minguez, Angel Maioli, Silvia Matton, Anna |
author_sort | Daniilidou, Makrina |
collection | PubMed |
description | Alzheimer’s disease is a multifactorial disorder with large heterogeneity. Comorbidities such as hypertension, hypercholesterolaemia and diabetes are known contributors to disease progression. However, less is known about their mechanistic contribution to Alzheimer’s pathology and neurodegeneration. The aim of this study was to investigate the relationship of several biomarkers related to risk mechanisms in Alzheimer’s disease with the well-established Alzheimer’s disease markers in a memory clinic population without common comorbidities. We investigated 13 molecular markers representing key mechanisms underlying Alzheimer’s disease pathogenesis in CSF from memory clinic patients without diagnosed hypertension, hypercholesterolaemia or diabetes nor other neurodegenerative disorders. An analysis of covariance was used to compare biomarker levels between clinical groups. Associations were analysed by linear regression. Two-step cluster analysis was used to determine patient clusters. Two key markers were analysed by immunofluorescence staining in the hippocampus of non-demented control and Alzheimer’s disease individuals. CSF samples from a total of 90 participants were included in this study: 30 from patients with subjective cognitive decline (age 62.4 ± 4.38, female 60%), 30 with mild cognitive impairment (age 65.6 ± 7.48, female 50%) and 30 with Alzheimer’s disease (age 68.2 ± 7.86, female 50%). Angiotensinogen, thioredoxin-1 and interleukin-15 had the most prominent associations with Alzheimer’s disease pathology, synaptic and axonal damage markers. Synaptosomal-associated protein 25 kDa and neurofilament light chain were increased in mild cognitive impairment and Alzheimer’s disease patients. Grouping biomarkers by biological function showed that inflammatory and survival components were associated with Alzheimer’s disease pathology, synaptic dysfunction and axonal damage. Moreover, a vascular/metabolic component was associated with synaptic dysfunction. In the data-driven analysis, two patient clusters were identified: Cluster 1 had increased CSF markers of oxidative stress, vascular pathology and neuroinflammation and was characterized by elevated synaptic and axonal damage, compared with Cluster 2. Clinical groups were evenly distributed between the clusters. An analysis of post-mortem hippocampal tissue showed that compared with non-demented controls, angiotensinogen staining was higher in Alzheimer’s disease and co-localized with phosphorylated-tau. The identification of biomarker-driven endophenotypes in cognitive disorder patients further highlights the biological heterogeneity of Alzheimer’s disease and the importance of tailored prevention and treatment strategies. |
format | Online Article Text |
id | pubmed-10481253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104812532023-09-07 Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities Daniilidou, Makrina Eroli, Francesca Alanko, Vilma Goikolea, Julen Latorre-Leal, Maria Rodriguez-Rodriguez, Patricia Griffiths, William J Wang, Yuqin Pacciarini, Manuela Brinkmalm, Ann Zetterberg, Henrik Blennow, Kaj Rosenberg, Anna Bogdanovic, Nenad Winblad, Bengt Kivipelto, Miia Ibghi, Delphine Cedazo-Minguez, Angel Maioli, Silvia Matton, Anna Brain Commun Original Article Alzheimer’s disease is a multifactorial disorder with large heterogeneity. Comorbidities such as hypertension, hypercholesterolaemia and diabetes are known contributors to disease progression. However, less is known about their mechanistic contribution to Alzheimer’s pathology and neurodegeneration. The aim of this study was to investigate the relationship of several biomarkers related to risk mechanisms in Alzheimer’s disease with the well-established Alzheimer’s disease markers in a memory clinic population without common comorbidities. We investigated 13 molecular markers representing key mechanisms underlying Alzheimer’s disease pathogenesis in CSF from memory clinic patients without diagnosed hypertension, hypercholesterolaemia or diabetes nor other neurodegenerative disorders. An analysis of covariance was used to compare biomarker levels between clinical groups. Associations were analysed by linear regression. Two-step cluster analysis was used to determine patient clusters. Two key markers were analysed by immunofluorescence staining in the hippocampus of non-demented control and Alzheimer’s disease individuals. CSF samples from a total of 90 participants were included in this study: 30 from patients with subjective cognitive decline (age 62.4 ± 4.38, female 60%), 30 with mild cognitive impairment (age 65.6 ± 7.48, female 50%) and 30 with Alzheimer’s disease (age 68.2 ± 7.86, female 50%). Angiotensinogen, thioredoxin-1 and interleukin-15 had the most prominent associations with Alzheimer’s disease pathology, synaptic and axonal damage markers. Synaptosomal-associated protein 25 kDa and neurofilament light chain were increased in mild cognitive impairment and Alzheimer’s disease patients. Grouping biomarkers by biological function showed that inflammatory and survival components were associated with Alzheimer’s disease pathology, synaptic dysfunction and axonal damage. Moreover, a vascular/metabolic component was associated with synaptic dysfunction. In the data-driven analysis, two patient clusters were identified: Cluster 1 had increased CSF markers of oxidative stress, vascular pathology and neuroinflammation and was characterized by elevated synaptic and axonal damage, compared with Cluster 2. Clinical groups were evenly distributed between the clusters. An analysis of post-mortem hippocampal tissue showed that compared with non-demented controls, angiotensinogen staining was higher in Alzheimer’s disease and co-localized with phosphorylated-tau. The identification of biomarker-driven endophenotypes in cognitive disorder patients further highlights the biological heterogeneity of Alzheimer’s disease and the importance of tailored prevention and treatment strategies. Oxford University Press 2023-08-25 /pmc/articles/PMC10481253/ /pubmed/37680670 http://dx.doi.org/10.1093/braincomms/fcad228 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Daniilidou, Makrina Eroli, Francesca Alanko, Vilma Goikolea, Julen Latorre-Leal, Maria Rodriguez-Rodriguez, Patricia Griffiths, William J Wang, Yuqin Pacciarini, Manuela Brinkmalm, Ann Zetterberg, Henrik Blennow, Kaj Rosenberg, Anna Bogdanovic, Nenad Winblad, Bengt Kivipelto, Miia Ibghi, Delphine Cedazo-Minguez, Angel Maioli, Silvia Matton, Anna Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title | Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title_full | Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title_fullStr | Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title_full_unstemmed | Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title_short | Alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
title_sort | alzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481253/ https://www.ncbi.nlm.nih.gov/pubmed/37680670 http://dx.doi.org/10.1093/braincomms/fcad228 |
work_keys_str_mv | AT daniilidoumakrina alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT erolifrancesca alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT alankovilma alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT goikoleajulen alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT latorrelealmaria alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT rodriguezrodriguezpatricia alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT griffithswilliamj alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT wangyuqin alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT pacciarinimanuela alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT brinkmalmann alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT zetterberghenrik alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT blennowkaj alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT rosenberganna alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT bogdanovicnenad alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT winbladbengt alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT kivipeltomiia alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT ibghidelphine alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT cedazominguezangel alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT maiolisilvia alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities AT mattonanna alzheimersdiseasebiomarkerprofilinginamemorycliniccohortwithoutcommoncomorbidities |