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An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease
BACKGROUND: Multiple pathophysiological processes have been described in Alzheimer’s disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypothesize that specific molecular patterns ind...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015070/ https://www.ncbi.nlm.nih.gov/pubmed/33794997 http://dx.doi.org/10.1186/s13195-021-00814-7 |
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author | Clark, Christopher Dayon, Loïc Masoodi, Mojgan Bowman, Gene L. Popp, Julius |
author_facet | Clark, Christopher Dayon, Loïc Masoodi, Mojgan Bowman, Gene L. Popp, Julius |
author_sort | Clark, Christopher |
collection | PubMed |
description | BACKGROUND: Multiple pathophysiological processes have been described in Alzheimer’s disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypothesize that specific molecular patterns indicating both known and yet unidentified pathway alterations are associated with distinct aspects of AD pathology. METHODS: We performed multi-level cerebrospinal fluid (CSF) omics in a well-characterized cohort of older adults with normal cognition, mild cognitive impairment, and mild dementia. Proteomics, metabolomics, lipidomics, one-carbon metabolism, and neuroinflammation related molecules were analyzed at single-omic level with correlation and regression approaches. Multi-omics factor analysis was used to integrate all biological levels. Identified analytes were used to construct best predictive models of the presence of AD pathology and of cognitive decline with multifactorial regression analysis. Pathway enrichment analysis identified pathway alterations in AD. RESULTS: Multi-omics integration identified five major dimensions of heterogeneity explaining the variance within the cohort and differentially associated with AD. Further analysis exposed multiple interactions between single ‘omics modalities and distinct multi-omics molecular signatures differentially related to amyloid pathology, neuronal injury, and tau hyperphosphorylation. Enrichment pathway analysis revealed overrepresentation of the hemostasis, immune response, and extracellular matrix signaling pathways in association with AD. Finally, combinations of four molecules improved prediction of both AD (protein 14-3-3 zeta/delta, clusterin, interleukin-15, and transgelin-2) and cognitive decline (protein 14-3-3 zeta/delta, clusterin, cholesteryl ester 27:1 16:0 and monocyte chemoattractant protein-1). CONCLUSIONS: Applying an integrative multi-omics approach we report novel molecular and pathways alterations associated with AD pathology. These findings are relevant for the development of personalized diagnosis and treatment approaches in AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00814-7. |
format | Online Article Text |
id | pubmed-8015070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80150702021-04-01 An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease Clark, Christopher Dayon, Loïc Masoodi, Mojgan Bowman, Gene L. Popp, Julius Alzheimers Res Ther Research BACKGROUND: Multiple pathophysiological processes have been described in Alzheimer’s disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypothesize that specific molecular patterns indicating both known and yet unidentified pathway alterations are associated with distinct aspects of AD pathology. METHODS: We performed multi-level cerebrospinal fluid (CSF) omics in a well-characterized cohort of older adults with normal cognition, mild cognitive impairment, and mild dementia. Proteomics, metabolomics, lipidomics, one-carbon metabolism, and neuroinflammation related molecules were analyzed at single-omic level with correlation and regression approaches. Multi-omics factor analysis was used to integrate all biological levels. Identified analytes were used to construct best predictive models of the presence of AD pathology and of cognitive decline with multifactorial regression analysis. Pathway enrichment analysis identified pathway alterations in AD. RESULTS: Multi-omics integration identified five major dimensions of heterogeneity explaining the variance within the cohort and differentially associated with AD. Further analysis exposed multiple interactions between single ‘omics modalities and distinct multi-omics molecular signatures differentially related to amyloid pathology, neuronal injury, and tau hyperphosphorylation. Enrichment pathway analysis revealed overrepresentation of the hemostasis, immune response, and extracellular matrix signaling pathways in association with AD. Finally, combinations of four molecules improved prediction of both AD (protein 14-3-3 zeta/delta, clusterin, interleukin-15, and transgelin-2) and cognitive decline (protein 14-3-3 zeta/delta, clusterin, cholesteryl ester 27:1 16:0 and monocyte chemoattractant protein-1). CONCLUSIONS: Applying an integrative multi-omics approach we report novel molecular and pathways alterations associated with AD pathology. These findings are relevant for the development of personalized diagnosis and treatment approaches in AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-021-00814-7. BioMed Central 2021-04-01 /pmc/articles/PMC8015070/ /pubmed/33794997 http://dx.doi.org/10.1186/s13195-021-00814-7 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Clark, Christopher Dayon, Loïc Masoodi, Mojgan Bowman, Gene L. Popp, Julius An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title | An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title_full | An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title_fullStr | An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title_full_unstemmed | An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title_short | An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer’s disease |
title_sort | integrative multi-omics approach reveals new central nervous system pathway alterations in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015070/ https://www.ncbi.nlm.nih.gov/pubmed/33794997 http://dx.doi.org/10.1186/s13195-021-00814-7 |
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