Loading…

Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers

New biomarkers of Alzheimer’s disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometr...

Full description

Saved in:
Bibliographic Details
Published in:Journal of proteome research 2021-11, Vol.20 (11), p.5115-5130
Main Authors: San Segundo-Acosta, Pablo, Montero-Calle, Ana, Jernbom-Falk, August, Alonso-Navarro, Miren, Pin, Elisa, Andersson, Eni, Hellström, Cecilia, Sánchez-Martínez, MariCruz, Rábano, Alberto, Solís-Fernández, Guillermo, Peláez-García, Alberto, Martínez-Useros, Javier, Fernández-Aceñero, María Jesús, Månberg, Anna, Nilsson, Peter, Barderas, Rodrigo
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3
cites cdi_FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3
container_end_page 5130
container_issue 11
container_start_page 5115
container_title Journal of proteome research
container_volume 20
creator San Segundo-Acosta, Pablo
Montero-Calle, Ana
Jernbom-Falk, August
Alonso-Navarro, Miren
Pin, Elisa
Andersson, Eni
Hellström, Cecilia
Sánchez-Martínez, MariCruz
Rábano, Alberto
Solís-Fernández, Guillermo
Peláez-García, Alberto
Martínez-Useros, Javier
Fernández-Aceñero, María Jesús
Månberg, Anna
Nilsson, Peter
Barderas, Rodrigo
description New biomarkers of Alzheimer’s disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometry-based methods. To this end, an untargeted complementary screening using high-density (42,100 antigens) and low-density (384 antigens) planar protein-epitope signature tag (PrEST) arrays and an immunoprecipitation protocol coupled to mass spectrometry analysis were used for serum autoantibody profiling. From the untargeted screening phase, 377 antigens corresponding to 338 proteins were selected for validation. Out of them, IVD, CYFIP1, and ADD2 seroreactivity was validated using 128 sera from AD patients and controls by PrEST-suspension bead arrays, and ELISA or luminescence Halotag-based bead immunoassay using full-length recombinant proteins. Importantly, IVD, CYFIP1, and ADD2 showed in combination a noticeable AD diagnostic ability. Moreover, IVD protein abundance in the prefrontal cortex was significantly two-fold higher in AD patients than in controls by western blot and immunohistochemistry, whereas CYFIP1 and ADD2 were significantly down-regulated in AD patients. The panel of AD-related autoantigens identified by a comprehensive multiomics approach may provide new insights of the disease and should help in the blood-based diagnosis of Alzheimer’s disease. Mass spectrometry raw data are available in the ProteomeXchange database with the access number PXD028392.
doi_str_mv 10.1021/acs.jproteome.1c00630
format article
fullrecord <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_kth_305363</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2580951980</sourcerecordid><originalsourceid>FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3</originalsourceid><addsrcrecordid>eNqFkclOBCEURYnROH-ChqWbaqGQGpbtbKLRxGFLGB42WlW0UBWjK3_D3_NLRLvtrSsIOffy8g5CO5SMKMnpvtRx9DQNvgffwohqQgpGltA65YxnrCbl8t-9qtka2ojxiRDKS8JW0Ro7KPKq4tU6gquh6Z1vnY74JnjrGtc9Ym_xuHmfgGshfH18RnzsIsgI-BbC0GLrA-4ngC8MdL2zTstU0f2mht7L9Ka8ecOHqVeGZwhxC61Y2UTYnp-b6P705O7oPLu8Prs4Gl9mMk3ZZwUoU9oDq6StSrDWgFZlzcAwopSWhPGaMq1NDprqXCmgsqwLa0qmCsaJYZsom_XGV5gOSkyDSxO8CS-dOHYPY-HDo3juJ4IRzgqW-L0Znxb5MkDsReuihqaRHfghipxXpOa0rkhC-QzVwccYwC7KKRE_RkQyIhZGxNxIyu3OvxhUC2aR-lOQADoDfvN-CF3a0D-l34zRoKM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2580951980</pqid></control><display><type>article</type><title>Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers</title><source>American Chemical Society:Jisc Collections:American Chemical Society Read &amp; Publish Agreement 2022-2024 (Reading list)</source><creator>San Segundo-Acosta, Pablo ; Montero-Calle, Ana ; Jernbom-Falk, August ; Alonso-Navarro, Miren ; Pin, Elisa ; Andersson, Eni ; Hellström, Cecilia ; Sánchez-Martínez, MariCruz ; Rábano, Alberto ; Solís-Fernández, Guillermo ; Peláez-García, Alberto ; Martínez-Useros, Javier ; Fernández-Aceñero, María Jesús ; Månberg, Anna ; Nilsson, Peter ; Barderas, Rodrigo</creator><creatorcontrib>San Segundo-Acosta, Pablo ; Montero-Calle, Ana ; Jernbom-Falk, August ; Alonso-Navarro, Miren ; Pin, Elisa ; Andersson, Eni ; Hellström, Cecilia ; Sánchez-Martínez, MariCruz ; Rábano, Alberto ; Solís-Fernández, Guillermo ; Peláez-García, Alberto ; Martínez-Useros, Javier ; Fernández-Aceñero, María Jesús ; Månberg, Anna ; Nilsson, Peter ; Barderas, Rodrigo</creatorcontrib><description>New biomarkers of Alzheimer’s disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometry-based methods. To this end, an untargeted complementary screening using high-density (42,100 antigens) and low-density (384 antigens) planar protein-epitope signature tag (PrEST) arrays and an immunoprecipitation protocol coupled to mass spectrometry analysis were used for serum autoantibody profiling. From the untargeted screening phase, 377 antigens corresponding to 338 proteins were selected for validation. Out of them, IVD, CYFIP1, and ADD2 seroreactivity was validated using 128 sera from AD patients and controls by PrEST-suspension bead arrays, and ELISA or luminescence Halotag-based bead immunoassay using full-length recombinant proteins. Importantly, IVD, CYFIP1, and ADD2 showed in combination a noticeable AD diagnostic ability. Moreover, IVD protein abundance in the prefrontal cortex was significantly two-fold higher in AD patients than in controls by western blot and immunohistochemistry, whereas CYFIP1 and ADD2 were significantly down-regulated in AD patients. The panel of AD-related autoantigens identified by a comprehensive multiomics approach may provide new insights of the disease and should help in the blood-based diagnosis of Alzheimer’s disease. Mass spectrometry raw data are available in the ProteomeXchange database with the access number PXD028392.</description><identifier>ISSN: 1535-3893</identifier><identifier>ISSN: 1535-3907</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/acs.jproteome.1c00630</identifier><identifier>PMID: 34628858</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Alzheimer Disease ; Alzheimer's disease diagnosis ; Autoantibodies ; autoantibody ; Autoantigens ; Biomarkers ; Humans ; mass spectrometry ; planar array ; PrEST ; Protein Array Analysis - methods</subject><ispartof>Journal of proteome research, 2021-11, Vol.20 (11), p.5115-5130</ispartof><rights>2021 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3</citedby><cites>FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3</cites><orcidid>0000-0002-7773-1851 ; 0000-0003-3539-7469</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34628858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305363$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>San Segundo-Acosta, Pablo</creatorcontrib><creatorcontrib>Montero-Calle, Ana</creatorcontrib><creatorcontrib>Jernbom-Falk, August</creatorcontrib><creatorcontrib>Alonso-Navarro, Miren</creatorcontrib><creatorcontrib>Pin, Elisa</creatorcontrib><creatorcontrib>Andersson, Eni</creatorcontrib><creatorcontrib>Hellström, Cecilia</creatorcontrib><creatorcontrib>Sánchez-Martínez, MariCruz</creatorcontrib><creatorcontrib>Rábano, Alberto</creatorcontrib><creatorcontrib>Solís-Fernández, Guillermo</creatorcontrib><creatorcontrib>Peláez-García, Alberto</creatorcontrib><creatorcontrib>Martínez-Useros, Javier</creatorcontrib><creatorcontrib>Fernández-Aceñero, María Jesús</creatorcontrib><creatorcontrib>Månberg, Anna</creatorcontrib><creatorcontrib>Nilsson, Peter</creatorcontrib><creatorcontrib>Barderas, Rodrigo</creatorcontrib><title>Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>New biomarkers of Alzheimer’s disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometry-based methods. To this end, an untargeted complementary screening using high-density (42,100 antigens) and low-density (384 antigens) planar protein-epitope signature tag (PrEST) arrays and an immunoprecipitation protocol coupled to mass spectrometry analysis were used for serum autoantibody profiling. From the untargeted screening phase, 377 antigens corresponding to 338 proteins were selected for validation. Out of them, IVD, CYFIP1, and ADD2 seroreactivity was validated using 128 sera from AD patients and controls by PrEST-suspension bead arrays, and ELISA or luminescence Halotag-based bead immunoassay using full-length recombinant proteins. Importantly, IVD, CYFIP1, and ADD2 showed in combination a noticeable AD diagnostic ability. Moreover, IVD protein abundance in the prefrontal cortex was significantly two-fold higher in AD patients than in controls by western blot and immunohistochemistry, whereas CYFIP1 and ADD2 were significantly down-regulated in AD patients. The panel of AD-related autoantigens identified by a comprehensive multiomics approach may provide new insights of the disease and should help in the blood-based diagnosis of Alzheimer’s disease. Mass spectrometry raw data are available in the ProteomeXchange database with the access number PXD028392.</description><subject>Alzheimer Disease</subject><subject>Alzheimer's disease diagnosis</subject><subject>Autoantibodies</subject><subject>autoantibody</subject><subject>Autoantigens</subject><subject>Biomarkers</subject><subject>Humans</subject><subject>mass spectrometry</subject><subject>planar array</subject><subject>PrEST</subject><subject>Protein Array Analysis - methods</subject><issn>1535-3893</issn><issn>1535-3907</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkclOBCEURYnROH-ChqWbaqGQGpbtbKLRxGFLGB42WlW0UBWjK3_D3_NLRLvtrSsIOffy8g5CO5SMKMnpvtRx9DQNvgffwohqQgpGltA65YxnrCbl8t-9qtka2ojxiRDKS8JW0Ro7KPKq4tU6gquh6Z1vnY74JnjrGtc9Ym_xuHmfgGshfH18RnzsIsgI-BbC0GLrA-4ngC8MdL2zTstU0f2mht7L9Ka8ecOHqVeGZwhxC61Y2UTYnp-b6P705O7oPLu8Prs4Gl9mMk3ZZwUoU9oDq6StSrDWgFZlzcAwopSWhPGaMq1NDprqXCmgsqwLa0qmCsaJYZsom_XGV5gOSkyDSxO8CS-dOHYPY-HDo3juJ4IRzgqW-L0Znxb5MkDsReuihqaRHfghipxXpOa0rkhC-QzVwccYwC7KKRE_RkQyIhZGxNxIyu3OvxhUC2aR-lOQADoDfvN-CF3a0D-l34zRoKM</recordid><startdate>20211105</startdate><enddate>20211105</enddate><creator>San Segundo-Acosta, Pablo</creator><creator>Montero-Calle, Ana</creator><creator>Jernbom-Falk, August</creator><creator>Alonso-Navarro, Miren</creator><creator>Pin, Elisa</creator><creator>Andersson, Eni</creator><creator>Hellström, Cecilia</creator><creator>Sánchez-Martínez, MariCruz</creator><creator>Rábano, Alberto</creator><creator>Solís-Fernández, Guillermo</creator><creator>Peláez-García, Alberto</creator><creator>Martínez-Useros, Javier</creator><creator>Fernández-Aceñero, María Jesús</creator><creator>Månberg, Anna</creator><creator>Nilsson, Peter</creator><creator>Barderas, Rodrigo</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8V</scope><orcidid>https://orcid.org/0000-0002-7773-1851</orcidid><orcidid>https://orcid.org/0000-0003-3539-7469</orcidid></search><sort><creationdate>20211105</creationdate><title>Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers</title><author>San Segundo-Acosta, Pablo ; Montero-Calle, Ana ; Jernbom-Falk, August ; Alonso-Navarro, Miren ; Pin, Elisa ; Andersson, Eni ; Hellström, Cecilia ; Sánchez-Martínez, MariCruz ; Rábano, Alberto ; Solís-Fernández, Guillermo ; Peláez-García, Alberto ; Martínez-Useros, Javier ; Fernández-Aceñero, María Jesús ; Månberg, Anna ; Nilsson, Peter ; Barderas, Rodrigo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alzheimer Disease</topic><topic>Alzheimer's disease diagnosis</topic><topic>Autoantibodies</topic><topic>autoantibody</topic><topic>Autoantigens</topic><topic>Biomarkers</topic><topic>Humans</topic><topic>mass spectrometry</topic><topic>planar array</topic><topic>PrEST</topic><topic>Protein Array Analysis - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>San Segundo-Acosta, Pablo</creatorcontrib><creatorcontrib>Montero-Calle, Ana</creatorcontrib><creatorcontrib>Jernbom-Falk, August</creatorcontrib><creatorcontrib>Alonso-Navarro, Miren</creatorcontrib><creatorcontrib>Pin, Elisa</creatorcontrib><creatorcontrib>Andersson, Eni</creatorcontrib><creatorcontrib>Hellström, Cecilia</creatorcontrib><creatorcontrib>Sánchez-Martínez, MariCruz</creatorcontrib><creatorcontrib>Rábano, Alberto</creatorcontrib><creatorcontrib>Solís-Fernández, Guillermo</creatorcontrib><creatorcontrib>Peláez-García, Alberto</creatorcontrib><creatorcontrib>Martínez-Useros, Javier</creatorcontrib><creatorcontrib>Fernández-Aceñero, María Jesús</creatorcontrib><creatorcontrib>Månberg, Anna</creatorcontrib><creatorcontrib>Nilsson, Peter</creatorcontrib><creatorcontrib>Barderas, Rodrigo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>San Segundo-Acosta, Pablo</au><au>Montero-Calle, Ana</au><au>Jernbom-Falk, August</au><au>Alonso-Navarro, Miren</au><au>Pin, Elisa</au><au>Andersson, Eni</au><au>Hellström, Cecilia</au><au>Sánchez-Martínez, MariCruz</au><au>Rábano, Alberto</au><au>Solís-Fernández, Guillermo</au><au>Peláez-García, Alberto</au><au>Martínez-Useros, Javier</au><au>Fernández-Aceñero, María Jesús</au><au>Månberg, Anna</au><au>Nilsson, Peter</au><au>Barderas, Rodrigo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2021-11-05</date><risdate>2021</risdate><volume>20</volume><issue>11</issue><spage>5115</spage><epage>5130</epage><pages>5115-5130</pages><issn>1535-3893</issn><issn>1535-3907</issn><eissn>1535-3907</eissn><abstract>New biomarkers of Alzheimer’s disease (AD) with a diagnostic value in preclinical and prodromal stages are urgently needed. AD-related serum autoantibodies are potential candidate biomarkers. Here, we aimed at identifying AD-related serum autoantibodies using protein microarrays and mass spectrometry-based methods. To this end, an untargeted complementary screening using high-density (42,100 antigens) and low-density (384 antigens) planar protein-epitope signature tag (PrEST) arrays and an immunoprecipitation protocol coupled to mass spectrometry analysis were used for serum autoantibody profiling. From the untargeted screening phase, 377 antigens corresponding to 338 proteins were selected for validation. Out of them, IVD, CYFIP1, and ADD2 seroreactivity was validated using 128 sera from AD patients and controls by PrEST-suspension bead arrays, and ELISA or luminescence Halotag-based bead immunoassay using full-length recombinant proteins. Importantly, IVD, CYFIP1, and ADD2 showed in combination a noticeable AD diagnostic ability. Moreover, IVD protein abundance in the prefrontal cortex was significantly two-fold higher in AD patients than in controls by western blot and immunohistochemistry, whereas CYFIP1 and ADD2 were significantly down-regulated in AD patients. The panel of AD-related autoantigens identified by a comprehensive multiomics approach may provide new insights of the disease and should help in the blood-based diagnosis of Alzheimer’s disease. Mass spectrometry raw data are available in the ProteomeXchange database with the access number PXD028392.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>34628858</pmid><doi>10.1021/acs.jproteome.1c00630</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-7773-1851</orcidid><orcidid>https://orcid.org/0000-0003-3539-7469</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1535-3893
ispartof Journal of proteome research, 2021-11, Vol.20 (11), p.5115-5130
issn 1535-3893
1535-3907
1535-3907
language eng
recordid cdi_swepub_primary_oai_DiVA_org_kth_305363
source American Chemical Society:Jisc Collections:American Chemical Society Read & Publish Agreement 2022-2024 (Reading list)
subjects Alzheimer Disease
Alzheimer's disease diagnosis
Autoantibodies
autoantibody
Autoantigens
Biomarkers
Humans
mass spectrometry
planar array
PrEST
Protein Array Analysis - methods
title Multiomics Profiling of Alzheimer’s Disease Serum for the Identification of Autoantibody Biomarkers
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T04%3A13%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiomics%20Profiling%20of%20Alzheimer%E2%80%99s%20Disease%20Serum%20for%20the%20Identification%20of%20Autoantibody%20Biomarkers&rft.jtitle=Journal%20of%20proteome%20research&rft.au=San%20Segundo-Acosta,%20Pablo&rft.date=2021-11-05&rft.volume=20&rft.issue=11&rft.spage=5115&rft.epage=5130&rft.pages=5115-5130&rft.issn=1535-3893&rft.eissn=1535-3907&rft_id=info:doi/10.1021/acs.jproteome.1c00630&rft_dat=%3Cproquest_swepu%3E2580951980%3C/proquest_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a389t-6ebd7f4fbaf87effdecb793ed30bbca035913ccd2ec1c2bbe1a796fd73b6350d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2580951980&rft_id=info:pmid/34628858&rfr_iscdi=true