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Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis
Alzheimer’s disease (AD) is the most common form of dementia, currently affecting 35 million people worldwide. Apolipoprotein E (APOE) ε4 allele is the major risk factor for sporadic, late-onset AD (LOAD), which comprises over 95% of AD cases, increasing the risk of AD 4-12 fold. Despite this, the r...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064208/ https://www.ncbi.nlm.nih.gov/pubmed/33846280 http://dx.doi.org/10.18632/aging.202950 |
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author | Madrid, Laura Moreno-Grau, Sonia Ahmad, Shahzad González-Pérez, Antonio de Rojas, Itziar Xia, Rui Martino Adami, Pamela V. García-González, Pablo Kleineidam, Luca Yang, Qiong Damotte, Vincent Bis, Joshua C. Noguera-Perea, Fuensanta Bellenguez, Céline Jian, Xueqiu Marín-Muñoz, Juan Grenier-Boley, Benjamin Orellana, Adela Ikram, M. Arfan Amouyel, Philippe Satizabal, Claudia L. Real, Luis Miguel Antúnez-Almagro, Carmen DeStefano, Anita Cabrera-Socorro, Alfredo Sims, Rebecca Van Duijn, Cornelia M. Boerwinkle, Eric Ramírez, Alfredo Fornage, Myriam Lambert, Jean-Charles Williams, Julie Seshadri, Sudha Ried, Janina S. Ruiz, Agustín Saez, Maria Eugenia |
author_facet | Madrid, Laura Moreno-Grau, Sonia Ahmad, Shahzad González-Pérez, Antonio de Rojas, Itziar Xia, Rui Martino Adami, Pamela V. García-González, Pablo Kleineidam, Luca Yang, Qiong Damotte, Vincent Bis, Joshua C. Noguera-Perea, Fuensanta Bellenguez, Céline Jian, Xueqiu Marín-Muñoz, Juan Grenier-Boley, Benjamin Orellana, Adela Ikram, M. Arfan Amouyel, Philippe Satizabal, Claudia L. Real, Luis Miguel Antúnez-Almagro, Carmen DeStefano, Anita Cabrera-Socorro, Alfredo Sims, Rebecca Van Duijn, Cornelia M. Boerwinkle, Eric Ramírez, Alfredo Fornage, Myriam Lambert, Jean-Charles Williams, Julie Seshadri, Sudha Ried, Janina S. Ruiz, Agustín Saez, Maria Eugenia |
author_sort | Madrid, Laura |
collection | PubMed |
description | Alzheimer’s disease (AD) is the most common form of dementia, currently affecting 35 million people worldwide. Apolipoprotein E (APOE) ε4 allele is the major risk factor for sporadic, late-onset AD (LOAD), which comprises over 95% of AD cases, increasing the risk of AD 4-12 fold. Despite this, the role of APOE in AD pathogenesis is still a mystery. Aiming for a better understanding of APOE-specific effects, the ADAPTED consortium analysed and integrated publicly available data of multiple OMICS technologies from both plasma and brain stratified by APOE haplotype (APOE2, APOE3 and APOE4). Combining genome-wide association studies (GWAS) with differential mRNA and protein expression analyses and single-nuclei transcriptomics, we identified genes and pathways contributing to AD in both APOE dependent and independent fashion. Interestingly, we characterised a set of biomarkers showing plasma and brain consistent protein profiles and opposite trends in APOE2 and APOE4 AD cases that could constitute screening tools for a disease that lacks specific blood biomarkers. Beside the identification of APOE-specific signatures, our findings advocate that this novel approach, based on the concordance across OMIC layers and tissues, is an effective strategy for overcoming the limitations of often underpowered single-OMICS studies. |
format | Online Article Text |
id | pubmed-8064208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-80642082021-04-26 Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis Madrid, Laura Moreno-Grau, Sonia Ahmad, Shahzad González-Pérez, Antonio de Rojas, Itziar Xia, Rui Martino Adami, Pamela V. García-González, Pablo Kleineidam, Luca Yang, Qiong Damotte, Vincent Bis, Joshua C. Noguera-Perea, Fuensanta Bellenguez, Céline Jian, Xueqiu Marín-Muñoz, Juan Grenier-Boley, Benjamin Orellana, Adela Ikram, M. Arfan Amouyel, Philippe Satizabal, Claudia L. Real, Luis Miguel Antúnez-Almagro, Carmen DeStefano, Anita Cabrera-Socorro, Alfredo Sims, Rebecca Van Duijn, Cornelia M. Boerwinkle, Eric Ramírez, Alfredo Fornage, Myriam Lambert, Jean-Charles Williams, Julie Seshadri, Sudha Ried, Janina S. Ruiz, Agustín Saez, Maria Eugenia Aging (Albany NY) Research Paper Alzheimer’s disease (AD) is the most common form of dementia, currently affecting 35 million people worldwide. Apolipoprotein E (APOE) ε4 allele is the major risk factor for sporadic, late-onset AD (LOAD), which comprises over 95% of AD cases, increasing the risk of AD 4-12 fold. Despite this, the role of APOE in AD pathogenesis is still a mystery. Aiming for a better understanding of APOE-specific effects, the ADAPTED consortium analysed and integrated publicly available data of multiple OMICS technologies from both plasma and brain stratified by APOE haplotype (APOE2, APOE3 and APOE4). Combining genome-wide association studies (GWAS) with differential mRNA and protein expression analyses and single-nuclei transcriptomics, we identified genes and pathways contributing to AD in both APOE dependent and independent fashion. Interestingly, we characterised a set of biomarkers showing plasma and brain consistent protein profiles and opposite trends in APOE2 and APOE4 AD cases that could constitute screening tools for a disease that lacks specific blood biomarkers. Beside the identification of APOE-specific signatures, our findings advocate that this novel approach, based on the concordance across OMIC layers and tissues, is an effective strategy for overcoming the limitations of often underpowered single-OMICS studies. Impact Journals 2021-04-12 /pmc/articles/PMC8064208/ /pubmed/33846280 http://dx.doi.org/10.18632/aging.202950 Text en Copyright: © 2021 Madrid et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Madrid, Laura Moreno-Grau, Sonia Ahmad, Shahzad González-Pérez, Antonio de Rojas, Itziar Xia, Rui Martino Adami, Pamela V. García-González, Pablo Kleineidam, Luca Yang, Qiong Damotte, Vincent Bis, Joshua C. Noguera-Perea, Fuensanta Bellenguez, Céline Jian, Xueqiu Marín-Muñoz, Juan Grenier-Boley, Benjamin Orellana, Adela Ikram, M. Arfan Amouyel, Philippe Satizabal, Claudia L. Real, Luis Miguel Antúnez-Almagro, Carmen DeStefano, Anita Cabrera-Socorro, Alfredo Sims, Rebecca Van Duijn, Cornelia M. Boerwinkle, Eric Ramírez, Alfredo Fornage, Myriam Lambert, Jean-Charles Williams, Julie Seshadri, Sudha Ried, Janina S. Ruiz, Agustín Saez, Maria Eugenia Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title_full | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title_fullStr | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title_full_unstemmed | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title_short | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis |
title_sort | multiomics integrative analysis identifies apoe allele-specific blood biomarkers associated to alzheimer’s disease etiopathogenesis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064208/ https://www.ncbi.nlm.nih.gov/pubmed/33846280 http://dx.doi.org/10.18632/aging.202950 |
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