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,...
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creator | 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 |
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
haplotype (
and
). 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
and
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. |
doi_str_mv | 10.18632/aging.202950 |
format | Article |
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haplotype (
and
). 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
and
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.</description><identifier>ISSN: 1945-4589</identifier><identifier>EISSN: 1945-4589</identifier><identifier>DOI: 10.18632/aging.202950</identifier><identifier>PMID: 33846280</identifier><language>eng</language><publisher>United States: Impact Journals</publisher><subject>Life Sciences ; Research Paper</subject><ispartof>Aging (Albany, NY.), 2021-04, Vol.13 (7), p.9277-9329</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright: © 2021 Madrid et al.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-a01817ce398f084f400f09eba612f71234226f9c8f5b2db8354639e78b893f273</citedby><cites>FETCH-LOGICAL-c487t-a01817ce398f084f400f09eba612f71234226f9c8f5b2db8354639e78b893f273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064208/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064208/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33846280$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04278015$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Madrid, Laura</creatorcontrib><creatorcontrib>Moreno-Grau, Sonia</creatorcontrib><creatorcontrib>Ahmad, Shahzad</creatorcontrib><creatorcontrib>González-Pérez, Antonio</creatorcontrib><creatorcontrib>de Rojas, Itziar</creatorcontrib><creatorcontrib>Xia, Rui</creatorcontrib><creatorcontrib>Martino Adami, Pamela V</creatorcontrib><creatorcontrib>García-González, Pablo</creatorcontrib><creatorcontrib>Kleineidam, Luca</creatorcontrib><creatorcontrib>Yang, Qiong</creatorcontrib><creatorcontrib>Damotte, Vincent</creatorcontrib><creatorcontrib>Bis, Joshua C</creatorcontrib><creatorcontrib>Noguera-Perea, Fuensanta</creatorcontrib><creatorcontrib>Bellenguez, Céline</creatorcontrib><creatorcontrib>Jian, Xueqiu</creatorcontrib><creatorcontrib>Marín-Muñoz, Juan</creatorcontrib><creatorcontrib>Grenier-Boley, Benjamin</creatorcontrib><creatorcontrib>Orellana, Adela</creatorcontrib><creatorcontrib>Ikram, M Arfan</creatorcontrib><creatorcontrib>Amouyel, Philippe</creatorcontrib><creatorcontrib>Satizabal, Claudia L</creatorcontrib><creatorcontrib>Real, Luis Miguel</creatorcontrib><creatorcontrib>Antúnez-Almagro, Carmen</creatorcontrib><creatorcontrib>DeStefano, Anita</creatorcontrib><creatorcontrib>Cabrera-Socorro, Alfredo</creatorcontrib><creatorcontrib>Sims, Rebecca</creatorcontrib><creatorcontrib>Van Duijn, Cornelia M</creatorcontrib><creatorcontrib>Boerwinkle, Eric</creatorcontrib><creatorcontrib>Ramírez, Alfredo</creatorcontrib><creatorcontrib>Fornage, Myriam</creatorcontrib><creatorcontrib>Lambert, Jean-Charles</creatorcontrib><creatorcontrib>Williams, Julie</creatorcontrib><creatorcontrib>Seshadri, Sudha</creatorcontrib><creatorcontrib>Ried, Janina S</creatorcontrib><creatorcontrib>Ruiz, Agustín</creatorcontrib><creatorcontrib>Saez, Maria Eugenia</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</creatorcontrib><creatorcontrib>EADI consortium, CHARGE consortium, GERAD consortium, GR@ACE/DEGESCO consortium</creatorcontrib><creatorcontrib>ADAPTED consortium</creatorcontrib><title>Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer's disease etiopathogenesis</title><title>Aging (Albany, NY.)</title><addtitle>Aging (Albany NY)</addtitle><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
haplotype (
and
). 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
and
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.</description><subject>Life Sciences</subject><subject>Research Paper</subject><issn>1945-4589</issn><issn>1945-4589</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpdUU1v1DAUtBAV_YAjV-Qb9JDWX0mcC9KqKhRpq_YAZ8txnrMGb7z4ZVcqV_44brdUhdOzxvNm3mgIecvZGdeNFOd2DNN4JpjoavaCHPFO1ZWqdffy2fuQHCN-Z6ypa9W8IodSatUIzY7I7-ttnENaB4c0TDOM2c5hB9RONt5hKOAA0xx8AKSL25tLamOECBVuwBXU0T6mNNC-SNj8AzJSi5hcsDMMdE50EX-tIKwhv0c6BASLQKEYbuy8SiNMUDxekwNvI8Kbx3lCvn26_HpxVS1vPn-5WCwrp3Q7V5ZxzVsHstOeaeUVY5510NuGC99yIZUQje-c9nUvhl7LklV20Oped9KLVp6Qj3vdzbZfw-BKsGyj2eRQbr8zyQbz788UVmZMO6NZowTTReB0L7D6b-1qsTT3GFOi1YzXO164Hx7Ncvq5BZzNOqCDGO0EaYtG1PcX84arQq32VJcTYgb_pM2ZeSjZPJRs9iUX_rvnOZ7Yf1uVfwD1GqYn</recordid><startdate>20210415</startdate><enddate>20210415</enddate><creator>Madrid, Laura</creator><creator>Moreno-Grau, Sonia</creator><creator>Ahmad, Shahzad</creator><creator>González-Pérez, Antonio</creator><creator>de Rojas, Itziar</creator><creator>Xia, Rui</creator><creator>Martino Adami, Pamela 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S</creator><creator>Ruiz, Agustín</creator><creator>Saez, Maria Eugenia</creator><general>Impact Journals</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope></search><sort><creationdate>20210415</creationdate><title>Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer's disease etiopathogenesis</title><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 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Eugenia</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative (ADNI)</aucorp><aucorp>EADI consortium, CHARGE consortium, GERAD consortium, GR@ACE/DEGESCO consortium</aucorp><aucorp>ADAPTED consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer's disease etiopathogenesis</atitle><jtitle>Aging (Albany, NY.)</jtitle><addtitle>Aging (Albany NY)</addtitle><date>2021-04-15</date><risdate>2021</risdate><volume>13</volume><issue>7</issue><spage>9277</spage><epage>9329</epage><pages>9277-9329</pages><issn>1945-4589</issn><eissn>1945-4589</eissn><abstract>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
haplotype (
and
). 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
and
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.</abstract><cop>United States</cop><pub>Impact Journals</pub><pmid>33846280</pmid><doi>10.18632/aging.202950</doi><tpages>53</tpages><oa>free_for_read</oa></addata></record> |
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title | Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer's disease etiopathogenesis |
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