Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data
Genome-wide association studies (GWASs) have identified risk loci for suicide attempt (SA), but deciphering how they confer risk for SA remains largely unknown. This study aims to identify the key proteins and gain insights into SA pathogenesis. We integrated data from the brain proteome (N = 376) a...
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description | Genome-wide association studies (GWASs) have identified risk loci for suicide attempt (SA), but deciphering how they confer risk for SA remains largely unknown. This study aims to identify the key proteins and gain insights into SA pathogenesis. We integrated data from the brain proteome (N = 376) and blood proteome (N = 35,559) and combined it with the largest SA GWAS summary statistics to date (N = 518,612). A comprehensive set of methods was employed, including Mendelian randomization (MR), Steiger filtering, Bayesian colocalization, proteome‑wide association studies (PWAS), transcript-levels, cell-type specificity, correlation, and protein-protein interaction (PPI) network analysis. Validation was performed using other protein datasets and the SA dataset from FinnGen study. We identified ten proteins (GLRX5, GMPPB, B3GALTL, FUCA2, TTLL12, ADCK1, MMAA, HIBADH, ACP1, DOC2A) associated with SA in brain proteomics. GLRX5, GMPPB, and FUCA2 showed strong colocalization evidence and were supported by PWAS and transcript-level analysis, and were predominantly expressed in glutamatergic neuronal cells. In blood proteomics, one significant protein (PEAR1) and three near-significant proteins (NDE1, EVA1C, B4GALT2) were identified, but lacked colocalization evidence. Moreover, despite the limited correlation between the same protein in brain and blood, the PPI network analysis provided new insights into the interaction between brain and blood in SA. Furthermore, GLRX5 was associated with the GSTP1, the target of Clozapine. The comprehensive analysis provides strong evidence supporting a causal association between three genetically determined brain proteins (GLRX5, GMPPB, and FUCA2) with SA. These findings offer valuable insights into SA's underlying mechanisms and potential therapeutic approaches. |
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This study aims to identify the key proteins and gain insights into SA pathogenesis. We integrated data from the brain proteome (N = 376) and blood proteome (N = 35,559) and combined it with the largest SA GWAS summary statistics to date (N = 518,612). A comprehensive set of methods was employed, including Mendelian randomization (MR), Steiger filtering, Bayesian colocalization, proteome‑wide association studies (PWAS), transcript-levels, cell-type specificity, correlation, and protein-protein interaction (PPI) network analysis. Validation was performed using other protein datasets and the SA dataset from FinnGen study. We identified ten proteins (GLRX5, GMPPB, B3GALTL, FUCA2, TTLL12, ADCK1, MMAA, HIBADH, ACP1, DOC2A) associated with SA in brain proteomics. GLRX5, GMPPB, and FUCA2 showed strong colocalization evidence and were supported by PWAS and transcript-level analysis, and were predominantly expressed in glutamatergic neuronal cells. In blood proteomics, one significant protein (PEAR1) and three near-significant proteins (NDE1, EVA1C, B4GALT2) were identified, but lacked colocalization evidence. Moreover, despite the limited correlation between the same protein in brain and blood, the PPI network analysis provided new insights into the interaction between brain and blood in SA. Furthermore, GLRX5 was associated with the GSTP1, the target of Clozapine. The comprehensive analysis provides strong evidence supporting a causal association between three genetically determined brain proteins (GLRX5, GMPPB, and FUCA2) with SA. These findings offer valuable insights into SA's underlying mechanisms and potential therapeutic approaches.</description><identifier>ISSN: 0893-133X</identifier><identifier>ISSN: 1740-634X</identifier><identifier>EISSN: 1740-634X</identifier><identifier>DOI: 10.1038/s41386-024-01807-4</identifier><identifier>PMID: 38317018</identifier><language>eng</language><publisher>England: Nature Publishing Group</publisher><subject>Bayesian analysis ; Blood ; Brain - metabolism ; Clozapine ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Glutamatergic transmission ; Glutathione transferase ; Humans ; Protein interaction ; Protein Interaction Maps ; Proteins ; Proteome - metabolism ; Proteomes ; Proteomics ; Proteomics - methods ; Statistical analysis ; Suicide ; Suicide, Attempted ; Suicides & suicide attempts</subject><ispartof>Neuropsychopharmacology (New York, N.Y.), 2024-07, Vol.49 (8), p.1255-1265</ispartof><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c382t-b051e993b4d3254453c096c840b8c1b94b29ad8c26c3ed58e72cd5959d54d2b63</cites><orcidid>0000-0003-4979-9514</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38317018$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Hao</creatorcontrib><creatorcontrib>Liu, Yifeng</creatorcontrib><creatorcontrib>Zhang, Xuening</creatorcontrib><creatorcontrib>Liao, Yuhua</creatorcontrib><creatorcontrib>Zhang, Huimin</creatorcontrib><creatorcontrib>Han, Xue</creatorcontrib><creatorcontrib>Guo, Lan</creatorcontrib><creatorcontrib>Fan, Beifang</creatorcontrib><creatorcontrib>Wang, Wanxin</creatorcontrib><creatorcontrib>Lu, Ciyong</creatorcontrib><title>Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data</title><title>Neuropsychopharmacology (New York, N.Y.)</title><addtitle>Neuropsychopharmacology</addtitle><description>Genome-wide association studies (GWASs) have identified risk loci for suicide attempt (SA), but deciphering how they confer risk for SA remains largely unknown. This study aims to identify the key proteins and gain insights into SA pathogenesis. We integrated data from the brain proteome (N = 376) and blood proteome (N = 35,559) and combined it with the largest SA GWAS summary statistics to date (N = 518,612). A comprehensive set of methods was employed, including Mendelian randomization (MR), Steiger filtering, Bayesian colocalization, proteome‑wide association studies (PWAS), transcript-levels, cell-type specificity, correlation, and protein-protein interaction (PPI) network analysis. Validation was performed using other protein datasets and the SA dataset from FinnGen study. We identified ten proteins (GLRX5, GMPPB, B3GALTL, FUCA2, TTLL12, ADCK1, MMAA, HIBADH, ACP1, DOC2A) associated with SA in brain proteomics. GLRX5, GMPPB, and FUCA2 showed strong colocalization evidence and were supported by PWAS and transcript-level analysis, and were predominantly expressed in glutamatergic neuronal cells. In blood proteomics, one significant protein (PEAR1) and three near-significant proteins (NDE1, EVA1C, B4GALT2) were identified, but lacked colocalization evidence. Moreover, despite the limited correlation between the same protein in brain and blood, the PPI network analysis provided new insights into the interaction between brain and blood in SA. Furthermore, GLRX5 was associated with the GSTP1, the target of Clozapine. The comprehensive analysis provides strong evidence supporting a causal association between three genetically determined brain proteins (GLRX5, GMPPB, and FUCA2) with SA. These findings offer valuable insights into SA's underlying mechanisms and potential therapeutic approaches.</description><subject>Bayesian analysis</subject><subject>Blood</subject><subject>Brain - metabolism</subject><subject>Clozapine</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Glutamatergic transmission</subject><subject>Glutathione transferase</subject><subject>Humans</subject><subject>Protein interaction</subject><subject>Protein Interaction Maps</subject><subject>Proteins</subject><subject>Proteome - metabolism</subject><subject>Proteomes</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><subject>Statistical analysis</subject><subject>Suicide</subject><subject>Suicide, Attempted</subject><subject>Suicides & suicide attempts</subject><issn>0893-133X</issn><issn>1740-634X</issn><issn>1740-634X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1rVDEYhYModqz-ARcScOMmms97k5VIaWuh4Eahu5Cvmabcm4xJbsts_O1mZmpRV1m8z3PI4QDwluCPBDP5qXLC5IAw5QgTiUfEn4EVGTlGA-M3z8EKS8UQYezmBLyq9Q5jIsZBvgQnTDIydmcFfl35kFpc72LawJTvwwS3JbcQU4XrXGBdoos-QNNamLcN2h2MqYVNMW1vHNg8hw6XPENbTEzQJA_tlLOHD7Hdwk1InUAPh5has4vdzQl608xr8GJtphrePL6n4MfF-fezr-j62-XV2Zdr5JikDVksSFCKWe4ZFZwL5rAanOTYSkes4pYq46Wjg2PBCxlG6rxQQnnBPbUDOwWfj7nbxc7Bu965mElvS5xN2elsov73kuKt3uR7TQilnDHaEz48JpT8cwm16TlWF6bJpJCXqqmiVPFRDKqj7_9D7_JSUu-nGR7FqDDDvFP0SLmSay1h_fQbgvV-X33cV_d99WFfvZfe_d3jSfkzKPsNFEyj1A</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Zhao, Hao</creator><creator>Liu, Yifeng</creator><creator>Zhang, Xuening</creator><creator>Liao, Yuhua</creator><creator>Zhang, Huimin</creator><creator>Han, Xue</creator><creator>Guo, Lan</creator><creator>Fan, Beifang</creator><creator>Wang, Wanxin</creator><creator>Lu, Ciyong</creator><general>Nature Publishing Group</general><general>Springer International Publishing</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>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4979-9514</orcidid></search><sort><creationdate>20240701</creationdate><title>Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data</title><author>Zhao, Hao ; Liu, Yifeng ; Zhang, Xuening ; Liao, Yuhua ; Zhang, Huimin ; Han, Xue ; Guo, Lan ; Fan, Beifang ; Wang, Wanxin ; Lu, Ciyong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-b051e993b4d3254453c096c840b8c1b94b29ad8c26c3ed58e72cd5959d54d2b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bayesian analysis</topic><topic>Blood</topic><topic>Brain - metabolism</topic><topic>Clozapine</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Glutamatergic transmission</topic><topic>Glutathione transferase</topic><topic>Humans</topic><topic>Protein interaction</topic><topic>Protein Interaction Maps</topic><topic>Proteins</topic><topic>Proteome - metabolism</topic><topic>Proteomes</topic><topic>Proteomics</topic><topic>Proteomics - methods</topic><topic>Statistical analysis</topic><topic>Suicide</topic><topic>Suicide, Attempted</topic><topic>Suicides & suicide attempts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Hao</creatorcontrib><creatorcontrib>Liu, Yifeng</creatorcontrib><creatorcontrib>Zhang, Xuening</creatorcontrib><creatorcontrib>Liao, Yuhua</creatorcontrib><creatorcontrib>Zhang, Huimin</creatorcontrib><creatorcontrib>Han, Xue</creatorcontrib><creatorcontrib>Guo, Lan</creatorcontrib><creatorcontrib>Fan, Beifang</creatorcontrib><creatorcontrib>Wang, Wanxin</creatorcontrib><creatorcontrib>Lu, Ciyong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neuropsychopharmacology (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Hao</au><au>Liu, Yifeng</au><au>Zhang, Xuening</au><au>Liao, Yuhua</au><au>Zhang, Huimin</au><au>Han, Xue</au><au>Guo, Lan</au><au>Fan, Beifang</au><au>Wang, Wanxin</au><au>Lu, Ciyong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data</atitle><jtitle>Neuropsychopharmacology (New York, N.Y.)</jtitle><addtitle>Neuropsychopharmacology</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>49</volume><issue>8</issue><spage>1255</spage><epage>1265</epage><pages>1255-1265</pages><issn>0893-133X</issn><issn>1740-634X</issn><eissn>1740-634X</eissn><abstract>Genome-wide association studies (GWASs) have identified risk loci for suicide attempt (SA), but deciphering how they confer risk for SA remains largely unknown. This study aims to identify the key proteins and gain insights into SA pathogenesis. We integrated data from the brain proteome (N = 376) and blood proteome (N = 35,559) and combined it with the largest SA GWAS summary statistics to date (N = 518,612). A comprehensive set of methods was employed, including Mendelian randomization (MR), Steiger filtering, Bayesian colocalization, proteome‑wide association studies (PWAS), transcript-levels, cell-type specificity, correlation, and protein-protein interaction (PPI) network analysis. Validation was performed using other protein datasets and the SA dataset from FinnGen study. We identified ten proteins (GLRX5, GMPPB, B3GALTL, FUCA2, TTLL12, ADCK1, MMAA, HIBADH, ACP1, DOC2A) associated with SA in brain proteomics. GLRX5, GMPPB, and FUCA2 showed strong colocalization evidence and were supported by PWAS and transcript-level analysis, and were predominantly expressed in glutamatergic neuronal cells. In blood proteomics, one significant protein (PEAR1) and three near-significant proteins (NDE1, EVA1C, B4GALT2) were identified, but lacked colocalization evidence. Moreover, despite the limited correlation between the same protein in brain and blood, the PPI network analysis provided new insights into the interaction between brain and blood in SA. Furthermore, GLRX5 was associated with the GSTP1, the target of Clozapine. The comprehensive analysis provides strong evidence supporting a causal association between three genetically determined brain proteins (GLRX5, GMPPB, and FUCA2) with SA. These findings offer valuable insights into SA's underlying mechanisms and potential therapeutic approaches.</abstract><cop>England</cop><pub>Nature Publishing Group</pub><pmid>38317018</pmid><doi>10.1038/s41386-024-01807-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4979-9514</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bayesian analysis Blood Brain - metabolism Clozapine Genome-wide association studies Genome-Wide Association Study Genomes Glutamatergic transmission Glutathione transferase Humans Protein interaction Protein Interaction Maps Proteins Proteome - metabolism Proteomes Proteomics Proteomics - methods Statistical analysis Suicide Suicide, Attempted Suicides & suicide attempts |
title | Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data |
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