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Data-independent acquisition proteomic analysis of the brain microvasculature in Alzheimer's disease identifies major pathways of dysfunction and upregulation of cytoprotective responses
Brain microvascular dysfunction is an important feature of Alzheimer's disease (AD). To better understand the brain microvascular molecular signatures of AD, we processed and analyzed isolated human brain microvessels by data-independent acquisition liquid chromatography with tandem mass spectr...
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Published in: | Fluids and barriers of the CNS 2024-10, Vol.21 (1), p.84-17, Article 84 |
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description | Brain microvascular dysfunction is an important feature of Alzheimer's disease (AD). To better understand the brain microvascular molecular signatures of AD, we processed and analyzed isolated human brain microvessels by data-independent acquisition liquid chromatography with tandem mass spectrometry (DIA LC-MS/MS) to generate a quantitative dataset at the peptide and protein level. Brain microvessels were isolated from parietal cortex grey matter using protocols that preserve viability for downstream functional studies. Our cohort included 23 subjects with clinical and neuropathologic concordance for Alzheimer's disease, and 21 age-matched controls. In our analysis, we identified 168 proteins whose abundance was significantly increased, and no proteins that were significantly decreased in AD. The most highly increased proteins included amyloid beta, tau, midkine, SPARC related modular calcium binding 1 (SMOC1), and fatty acid binding protein 7 (FABP7). Additionally, Gene Ontology (GO) enrichment analysis identified the enrichment of increased proteins involved in cellular detoxification and antioxidative responses. A systematic evaluation of protein functions using the UniProt database identified groupings into common functional themes including the regulation of cellular proliferation, cellular differentiation and survival, inflammation, extracellular matrix, cell stress responses, metabolism, coagulation and heme breakdown, protein degradation, cytoskeleton, subcellular trafficking, cell motility, and cell signaling. This suggests that AD brain microvessels exist in a stressed state of increased energy demand, and mount a compensatory response to ongoing oxidative and cellular damage that is associated with AD. We also used public RNAseq databases to identify cell-type enriched genes that were detected at the protein level and found no changes in abundance of these proteins between control and AD groups, indicating that changes in cellular composition of the isolated microvessels were minimal between AD and no-AD groups. Using public data, we additionally found that under half of the proteins that were significantly increased in AD microvessels had concordant changes in brain microvascular mRNA, implying substantial discordance between gene and protein levels. Together, our results offer novel insights into the molecular underpinnings of brain microvascular dysfunction in AD. |
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To better understand the brain microvascular molecular signatures of AD, we processed and analyzed isolated human brain microvessels by data-independent acquisition liquid chromatography with tandem mass spectrometry (DIA LC-MS/MS) to generate a quantitative dataset at the peptide and protein level. Brain microvessels were isolated from parietal cortex grey matter using protocols that preserve viability for downstream functional studies. Our cohort included 23 subjects with clinical and neuropathologic concordance for Alzheimer's disease, and 21 age-matched controls. In our analysis, we identified 168 proteins whose abundance was significantly increased, and no proteins that were significantly decreased in AD. The most highly increased proteins included amyloid beta, tau, midkine, SPARC related modular calcium binding 1 (SMOC1), and fatty acid binding protein 7 (FABP7). Additionally, Gene Ontology (GO) enrichment analysis identified the enrichment of increased proteins involved in cellular detoxification and antioxidative responses. A systematic evaluation of protein functions using the UniProt database identified groupings into common functional themes including the regulation of cellular proliferation, cellular differentiation and survival, inflammation, extracellular matrix, cell stress responses, metabolism, coagulation and heme breakdown, protein degradation, cytoskeleton, subcellular trafficking, cell motility, and cell signaling. This suggests that AD brain microvessels exist in a stressed state of increased energy demand, and mount a compensatory response to ongoing oxidative and cellular damage that is associated with AD. We also used public RNAseq databases to identify cell-type enriched genes that were detected at the protein level and found no changes in abundance of these proteins between control and AD groups, indicating that changes in cellular composition of the isolated microvessels were minimal between AD and no-AD groups. Using public data, we additionally found that under half of the proteins that were significantly increased in AD microvessels had concordant changes in brain microvascular mRNA, implying substantial discordance between gene and protein levels. Together, our results offer novel insights into the molecular underpinnings of brain microvascular dysfunction in AD.</description><identifier>ISSN: 2045-8118</identifier><identifier>EISSN: 2045-8118</identifier><identifier>DOI: 10.1186/s12987-024-00581-1</identifier><identifier>PMID: 39434151</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aged ; Aged, 80 and over ; Alzheimer Disease - metabolism ; Alzheimer's disease ; Analysis ; Blood–brain barrier ; Brain - blood supply ; Brain - metabolism ; Brain microvessels ; Chromatography, Liquid ; Cohort Studies ; Diseases ; Female ; Humans ; Male ; Microvessels - metabolism ; Middle Aged ; Neurovascular unit ; Physiological aspects ; Proteins ; Proteomics ; Tandem Mass Spectrometry ; Up-Regulation - physiology</subject><ispartof>Fluids and barriers of the CNS, 2024-10, Vol.21 (1), p.84-17, Article 84</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c448t-1de6af3caff1e73195cdb0cbb9e473ed15d989ea829819a633c5513945326b653</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/PMC11492478/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11492478/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,36990,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39434151$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Erickson, Michelle A</creatorcontrib><creatorcontrib>Johnson, Richard S</creatorcontrib><creatorcontrib>Damodarasamy, Mamatha</creatorcontrib><creatorcontrib>MacCoss, Michael J</creatorcontrib><creatorcontrib>Keene, C Dirk</creatorcontrib><creatorcontrib>Banks, William A</creatorcontrib><creatorcontrib>Reed, May J</creatorcontrib><title>Data-independent acquisition proteomic analysis of the brain microvasculature in Alzheimer's disease identifies major pathways of dysfunction and upregulation of cytoprotective responses</title><title>Fluids and barriers of the CNS</title><addtitle>Fluids Barriers CNS</addtitle><description>Brain microvascular dysfunction is an important feature of Alzheimer's disease (AD). To better understand the brain microvascular molecular signatures of AD, we processed and analyzed isolated human brain microvessels by data-independent acquisition liquid chromatography with tandem mass spectrometry (DIA LC-MS/MS) to generate a quantitative dataset at the peptide and protein level. Brain microvessels were isolated from parietal cortex grey matter using protocols that preserve viability for downstream functional studies. Our cohort included 23 subjects with clinical and neuropathologic concordance for Alzheimer's disease, and 21 age-matched controls. In our analysis, we identified 168 proteins whose abundance was significantly increased, and no proteins that were significantly decreased in AD. The most highly increased proteins included amyloid beta, tau, midkine, SPARC related modular calcium binding 1 (SMOC1), and fatty acid binding protein 7 (FABP7). Additionally, Gene Ontology (GO) enrichment analysis identified the enrichment of increased proteins involved in cellular detoxification and antioxidative responses. A systematic evaluation of protein functions using the UniProt database identified groupings into common functional themes including the regulation of cellular proliferation, cellular differentiation and survival, inflammation, extracellular matrix, cell stress responses, metabolism, coagulation and heme breakdown, protein degradation, cytoskeleton, subcellular trafficking, cell motility, and cell signaling. This suggests that AD brain microvessels exist in a stressed state of increased energy demand, and mount a compensatory response to ongoing oxidative and cellular damage that is associated with AD. We also used public RNAseq databases to identify cell-type enriched genes that were detected at the protein level and found no changes in abundance of these proteins between control and AD groups, indicating that changes in cellular composition of the isolated microvessels were minimal between AD and no-AD groups. Using public data, we additionally found that under half of the proteins that were significantly increased in AD microvessels had concordant changes in brain microvascular mRNA, implying substantial discordance between gene and protein levels. Together, our results offer novel insights into the molecular underpinnings of brain microvascular dysfunction in AD.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - metabolism</subject><subject>Alzheimer's disease</subject><subject>Analysis</subject><subject>Blood–brain barrier</subject><subject>Brain - blood supply</subject><subject>Brain - metabolism</subject><subject>Brain microvessels</subject><subject>Chromatography, Liquid</subject><subject>Cohort Studies</subject><subject>Diseases</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Microvessels - metabolism</subject><subject>Middle Aged</subject><subject>Neurovascular unit</subject><subject>Physiological aspects</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>Tandem Mass Spectrometry</subject><subject>Up-Regulation - physiology</subject><issn>2045-8118</issn><issn>2045-8118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptkt1q3DAQhU1paUKaF-hFERTa3ji1LMmWrsqS_gUCvWmvxVgarxW8liPZG7aP1qervJuGXagFtjlz5rM8Oln2mhZXlMrqY6SlknVelDwvCiFpTp9l52XBRS5T_fnR-1l2GeNdkS7O66IqX2ZnTHHGqaDn2Z_PMEHuBosjptswETD3s4tucn4gY_AT-o0zBAbod9FF4lsydUiaAG4gqRL8FqKZe5jmgCRpq_53h26D4X0k1kWEmOSF7FqHkWzgzgcywtQ9wG6Ps7vYzoPZfxAGS-Yx4HoBLkKqm93k9xtJli2SgHH0Q8T4KnvRQh_x8vF5kf36-uXn9ff89se3m-vVbW44l1NOLVbQMgNtS7FmVAljm8I0jUJeM7RUWCUVgkzzpAoqxowQNE1IsLJqKsEuspsD13q402NwGwg77cHpveDDWkOYnOlRo1Lc0EpgIxkvAZSV1vC6rRumypKzxPp0YI1zs0Fr0lgC9CfQ08rgOr32W00pVyWvZSJ8eCQEfz9jnPTGRYN9DwP6OWpGqUqrVHWyvj1Y15D25obWJ6RZ7HolKaNSKLEAr_7jSstiOl4_YOuSftLw7qihQ-inLvp-Xs4rnhrLgzGFJMaA7dN_0kIvIdaHEOsUYr0Psaap6c3xhJ5a_kWW_QW1gPG5</recordid><startdate>20241021</startdate><enddate>20241021</enddate><creator>Erickson, Michelle A</creator><creator>Johnson, Richard S</creator><creator>Damodarasamy, Mamatha</creator><creator>MacCoss, Michael J</creator><creator>Keene, C Dirk</creator><creator>Banks, William A</creator><creator>Reed, May J</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241021</creationdate><title>Data-independent acquisition proteomic analysis of the brain microvasculature in Alzheimer's disease identifies major pathways of dysfunction and upregulation of cytoprotective responses</title><author>Erickson, Michelle A ; Johnson, Richard S ; Damodarasamy, Mamatha ; MacCoss, Michael J ; Keene, C Dirk ; Banks, William A ; Reed, May J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-1de6af3caff1e73195cdb0cbb9e473ed15d989ea829819a633c5513945326b653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - metabolism</topic><topic>Alzheimer's disease</topic><topic>Analysis</topic><topic>Blood–brain barrier</topic><topic>Brain - blood supply</topic><topic>Brain - metabolism</topic><topic>Brain microvessels</topic><topic>Chromatography, Liquid</topic><topic>Cohort Studies</topic><topic>Diseases</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Microvessels - metabolism</topic><topic>Middle Aged</topic><topic>Neurovascular unit</topic><topic>Physiological aspects</topic><topic>Proteins</topic><topic>Proteomics</topic><topic>Tandem Mass Spectrometry</topic><topic>Up-Regulation - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Erickson, Michelle A</creatorcontrib><creatorcontrib>Johnson, Richard S</creatorcontrib><creatorcontrib>Damodarasamy, Mamatha</creatorcontrib><creatorcontrib>MacCoss, Michael J</creatorcontrib><creatorcontrib>Keene, C Dirk</creatorcontrib><creatorcontrib>Banks, William A</creatorcontrib><creatorcontrib>Reed, May J</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>PubMed Central (Full Participant titles)</collection><collection>DOAJ</collection><jtitle>Fluids and barriers of the CNS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Erickson, Michelle A</au><au>Johnson, Richard S</au><au>Damodarasamy, Mamatha</au><au>MacCoss, Michael J</au><au>Keene, C Dirk</au><au>Banks, William A</au><au>Reed, May J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data-independent acquisition proteomic analysis of the brain microvasculature in Alzheimer's disease identifies major pathways of dysfunction and upregulation of cytoprotective responses</atitle><jtitle>Fluids and barriers of the CNS</jtitle><addtitle>Fluids Barriers CNS</addtitle><date>2024-10-21</date><risdate>2024</risdate><volume>21</volume><issue>1</issue><spage>84</spage><epage>17</epage><pages>84-17</pages><artnum>84</artnum><issn>2045-8118</issn><eissn>2045-8118</eissn><abstract>Brain microvascular dysfunction is an important feature of Alzheimer's disease (AD). To better understand the brain microvascular molecular signatures of AD, we processed and analyzed isolated human brain microvessels by data-independent acquisition liquid chromatography with tandem mass spectrometry (DIA LC-MS/MS) to generate a quantitative dataset at the peptide and protein level. Brain microvessels were isolated from parietal cortex grey matter using protocols that preserve viability for downstream functional studies. Our cohort included 23 subjects with clinical and neuropathologic concordance for Alzheimer's disease, and 21 age-matched controls. In our analysis, we identified 168 proteins whose abundance was significantly increased, and no proteins that were significantly decreased in AD. The most highly increased proteins included amyloid beta, tau, midkine, SPARC related modular calcium binding 1 (SMOC1), and fatty acid binding protein 7 (FABP7). Additionally, Gene Ontology (GO) enrichment analysis identified the enrichment of increased proteins involved in cellular detoxification and antioxidative responses. A systematic evaluation of protein functions using the UniProt database identified groupings into common functional themes including the regulation of cellular proliferation, cellular differentiation and survival, inflammation, extracellular matrix, cell stress responses, metabolism, coagulation and heme breakdown, protein degradation, cytoskeleton, subcellular trafficking, cell motility, and cell signaling. This suggests that AD brain microvessels exist in a stressed state of increased energy demand, and mount a compensatory response to ongoing oxidative and cellular damage that is associated with AD. We also used public RNAseq databases to identify cell-type enriched genes that were detected at the protein level and found no changes in abundance of these proteins between control and AD groups, indicating that changes in cellular composition of the isolated microvessels were minimal between AD and no-AD groups. Using public data, we additionally found that under half of the proteins that were significantly increased in AD microvessels had concordant changes in brain microvascular mRNA, implying substantial discordance between gene and protein levels. Together, our results offer novel insights into the molecular underpinnings of brain microvascular dysfunction in AD.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39434151</pmid><doi>10.1186/s12987-024-00581-1</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Alzheimer Disease - metabolism Alzheimer's disease Analysis Blood–brain barrier Brain - blood supply Brain - metabolism Brain microvessels Chromatography, Liquid Cohort Studies Diseases Female Humans Male Microvessels - metabolism Middle Aged Neurovascular unit Physiological aspects Proteins Proteomics Tandem Mass Spectrometry Up-Regulation - physiology |
title | Data-independent acquisition proteomic analysis of the brain microvasculature in Alzheimer's disease identifies major pathways of dysfunction and upregulation of cytoprotective responses |
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