Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation
Allogeneic hematopoietic cell transplantation (HCT) is associated with acute graft-vs.-host disease (aGVHD). The presented study applied a novel multiplex antibody-based proximity extension assay (PEA) proteomic platform that can detect thousands of serum proteins simultaneously for the identificati...
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creator | Pasic, Ivan Ren, Annie H. Nampoothiri, Ram Vasudevan Prassas, Ioannis Lipton, Jeffrey H. Mattsson, Jonas Diamandis, Eleftherios P. Michelis, Fotios V. |
description | Allogeneic hematopoietic cell transplantation (HCT) is associated with acute graft-vs.-host disease (aGVHD). The presented study applied a novel multiplex antibody-based proximity extension assay (PEA) proteomic platform that can detect thousands of serum proteins simultaneously for the identification of potential biomarkers of aGVHD.
Serum samples from 28 patients who underwent allogeneic HCT for acute myeloid leukemia (AML) were analyzed; 17 were diagnosed with grade II-IV aGVHD while 11 patients were not. Samples collected on day -6, day 0, +14, +30, +60 and +90 post-HCT were analyzed for the relative concentrations of 552 proteins. The concentration of each protein from baseline to the closest time point before onset of aGVHD, or to the latest time point in control patients, was documented.
Individualized analysis identified 26 proteins demonstrating ≥3-fold increase at aGVHD onset compared to baseline, eliminating proteins with a similar increase in controls. Another approach used paired t-testing and logistic regression that identified a four-marker panel, including SLAMF7, IL-1ra, BTN3A2 and DAB2, where individual log-likelihood ratios ranged from 3.99 to 8.15 (logistic regression, p=0.004-0.046). When combined, the four-marker panel demonstrated an area under the curve (AUC) of 0.90 (95% CI: 0.78-1.00; p=0.0006) with high negative predictive value of 81.8% and positive predictive value of 86.7%. All four markers play a physiological role in immune regulation. Among these, three were also present in the individualized analysis (SLAMF7, IL-1ra and BTN3A2).
We conclude that serum proteins identified using multiplex proteomics, particularly SLAMF7, IL-1ra, BTN3A2 and DAB2, may potentially predict aGVHD. |
doi_str_mv | 10.1515/cclm-2022-0916 |
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Serum samples from 28 patients who underwent allogeneic HCT for acute myeloid leukemia (AML) were analyzed; 17 were diagnosed with grade II-IV aGVHD while 11 patients were not. Samples collected on day -6, day 0, +14, +30, +60 and +90 post-HCT were analyzed for the relative concentrations of 552 proteins. The concentration of each protein from baseline to the closest time point before onset of aGVHD, or to the latest time point in control patients, was documented.
Individualized analysis identified 26 proteins demonstrating ≥3-fold increase at aGVHD onset compared to baseline, eliminating proteins with a similar increase in controls. Another approach used paired t-testing and logistic regression that identified a four-marker panel, including SLAMF7, IL-1ra, BTN3A2 and DAB2, where individual log-likelihood ratios ranged from 3.99 to 8.15 (logistic regression, p=0.004-0.046). When combined, the four-marker panel demonstrated an area under the curve (AUC) of 0.90 (95% CI: 0.78-1.00; p=0.0006) with high negative predictive value of 81.8% and positive predictive value of 86.7%. All four markers play a physiological role in immune regulation. Among these, three were also present in the individualized analysis (SLAMF7, IL-1ra and BTN3A2).
We conclude that serum proteins identified using multiplex proteomics, particularly SLAMF7, IL-1ra, BTN3A2 and DAB2, may potentially predict aGVHD.</description><identifier>ISSN: 1434-6621</identifier><identifier>EISSN: 1437-4331</identifier><identifier>DOI: 10.1515/cclm-2022-0916</identifier><identifier>PMID: 36655501</identifier><language>eng</language><publisher>Germany: De Gruyter</publisher><subject>Acute Disease ; acute graft-vs.-host disease ; Acute myeloid leukemia ; allogeneic hematopoietic cell transplantation (HCT) ; Allografts ; Antibodies ; Biomarkers ; Graft vs Host Disease - diagnosis ; Graft-versus-host reaction ; Hematopoietic Stem Cell Transplantation ; Hematopoietic stem cells ; Humans ; Immunoregulation ; Interleukin 1 receptor antagonist ; Interleukin 1 Receptor Antagonist Protein ; Interleukin 1 receptors ; Leukemia ; Leukemia, Myeloid, Acute - diagnosis ; Leukemia, Myeloid, Acute - therapy ; Likelihood ratio ; Marker panels ; Multiplexing ; Proteins ; Proteomics ; proximity extension assay ; Regression analysis ; Serum proteins ; Stem cell transplantation ; Transplantation</subject><ispartof>CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2023-05, Vol.61 (6), p.1005-1014</ispartof><rights>2023 Walter de Gruyter GmbH, Berlin/Boston.</rights><rights>2023 Walter de Gruyter GmbH, Berlin/Boston</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-ff0c31fb7695d2a9268d82ebfdf803622902d5c96952bacf474e4a427f3fc4403</citedby><cites>FETCH-LOGICAL-c415t-ff0c31fb7695d2a9268d82ebfdf803622902d5c96952bacf474e4a427f3fc4403</cites><orcidid>0000-0002-1589-820X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2022-0916/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2022-0916/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,777,781,882,27905,27906,66503,68287</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36655501$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:151774487$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Pasic, Ivan</creatorcontrib><creatorcontrib>Ren, Annie H.</creatorcontrib><creatorcontrib>Nampoothiri, Ram Vasudevan</creatorcontrib><creatorcontrib>Prassas, Ioannis</creatorcontrib><creatorcontrib>Lipton, Jeffrey H.</creatorcontrib><creatorcontrib>Mattsson, Jonas</creatorcontrib><creatorcontrib>Diamandis, Eleftherios P.</creatorcontrib><creatorcontrib>Michelis, Fotios V.</creatorcontrib><title>Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation</title><title>CLINICAL CHEMISTRY AND LABORATORY MEDICINE</title><addtitle>Clin Chem Lab Med</addtitle><description>Allogeneic hematopoietic cell transplantation (HCT) is associated with acute graft-vs.-host disease (aGVHD). The presented study applied a novel multiplex antibody-based proximity extension assay (PEA) proteomic platform that can detect thousands of serum proteins simultaneously for the identification of potential biomarkers of aGVHD.
Serum samples from 28 patients who underwent allogeneic HCT for acute myeloid leukemia (AML) were analyzed; 17 were diagnosed with grade II-IV aGVHD while 11 patients were not. Samples collected on day -6, day 0, +14, +30, +60 and +90 post-HCT were analyzed for the relative concentrations of 552 proteins. The concentration of each protein from baseline to the closest time point before onset of aGVHD, or to the latest time point in control patients, was documented.
Individualized analysis identified 26 proteins demonstrating ≥3-fold increase at aGVHD onset compared to baseline, eliminating proteins with a similar increase in controls. Another approach used paired t-testing and logistic regression that identified a four-marker panel, including SLAMF7, IL-1ra, BTN3A2 and DAB2, where individual log-likelihood ratios ranged from 3.99 to 8.15 (logistic regression, p=0.004-0.046). When combined, the four-marker panel demonstrated an area under the curve (AUC) of 0.90 (95% CI: 0.78-1.00; p=0.0006) with high negative predictive value of 81.8% and positive predictive value of 86.7%. All four markers play a physiological role in immune regulation. Among these, three were also present in the individualized analysis (SLAMF7, IL-1ra and BTN3A2).
We conclude that serum proteins identified using multiplex proteomics, particularly SLAMF7, IL-1ra, BTN3A2 and DAB2, may potentially predict aGVHD.</description><subject>Acute Disease</subject><subject>acute graft-vs.-host disease</subject><subject>Acute myeloid leukemia</subject><subject>allogeneic hematopoietic cell transplantation (HCT)</subject><subject>Allografts</subject><subject>Antibodies</subject><subject>Biomarkers</subject><subject>Graft vs Host Disease - diagnosis</subject><subject>Graft-versus-host reaction</subject><subject>Hematopoietic Stem Cell Transplantation</subject><subject>Hematopoietic stem cells</subject><subject>Humans</subject><subject>Immunoregulation</subject><subject>Interleukin 1 receptor antagonist</subject><subject>Interleukin 1 Receptor Antagonist Protein</subject><subject>Interleukin 1 receptors</subject><subject>Leukemia</subject><subject>Leukemia, Myeloid, Acute - diagnosis</subject><subject>Leukemia, Myeloid, Acute - therapy</subject><subject>Likelihood ratio</subject><subject>Marker panels</subject><subject>Multiplexing</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>proximity extension assay</subject><subject>Regression analysis</subject><subject>Serum proteins</subject><subject>Stem cell transplantation</subject><subject>Transplantation</subject><issn>1434-6621</issn><issn>1437-4331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkk1v1DAQhiMEoqVw5YgsceGSxXb8sTlwQBVfUhEXOFuOM951m9jBdtrdH8d_w2mWIiFOHo8fvzNjv1X1kuAN4YS_NWYYa4oprXFLxKPqnLBG1qxpyOP7mNVCUHJWPUvpGmPCOZNPq7NGCM45JufVr6_zkN00wAFNMWQIozMJzcn53ZI4uNHlI4JDBp9c8EinpI_IhojyHpDrwWdnndF5OQx2FXEedS6MOt5ATCUFvTPZ3cICaDNnQLuoba5v06beh5RR7xLoVPRKgWEIO_DgDNrDqHOYgoNcdgaGAeWofZoG7fN9xefVE6uHBC9O60X14-OH75ef66tvn75cvr-qDSM819Zi0xDbSdHynuqWim2_pdDZ3m5xIyhtMe25acsx7bSxTDJgmlFpG2sYw81FVa-66Q6muVNTdGW6owraqVPqpkSgGNs2tC38m5Uvz_FzhpTV6NIygPYQ5qSoFJJI0hJZ0Nf_oNdhjr5Mo2hpTrZ42y7UZqVMDClFsA8tEKwWI6jFCGoxglqMUC68OsnO3Qj9A_7n5wvwbgXu9JAh9rCL87EEf8v_X1kQQTDmzW9Of8lG</recordid><startdate>20230525</startdate><enddate>20230525</enddate><creator>Pasic, Ivan</creator><creator>Ren, Annie H.</creator><creator>Nampoothiri, Ram Vasudevan</creator><creator>Prassas, Ioannis</creator><creator>Lipton, Jeffrey H.</creator><creator>Mattsson, Jonas</creator><creator>Diamandis, Eleftherios P.</creator><creator>Michelis, Fotios V.</creator><general>De Gruyter</general><general>Walter De Gruyter & Company</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>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><orcidid>https://orcid.org/0000-0002-1589-820X</orcidid></search><sort><creationdate>20230525</creationdate><title>Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation</title><author>Pasic, Ivan ; Ren, Annie H. ; Nampoothiri, Ram Vasudevan ; Prassas, Ioannis ; Lipton, Jeffrey H. ; Mattsson, Jonas ; Diamandis, Eleftherios P. ; Michelis, Fotios V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-ff0c31fb7695d2a9268d82ebfdf803622902d5c96952bacf474e4a427f3fc4403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Acute Disease</topic><topic>acute graft-vs.-host disease</topic><topic>Acute myeloid leukemia</topic><topic>allogeneic hematopoietic cell transplantation (HCT)</topic><topic>Allografts</topic><topic>Antibodies</topic><topic>Biomarkers</topic><topic>Graft vs Host Disease - diagnosis</topic><topic>Graft-versus-host reaction</topic><topic>Hematopoietic Stem Cell Transplantation</topic><topic>Hematopoietic stem cells</topic><topic>Humans</topic><topic>Immunoregulation</topic><topic>Interleukin 1 receptor antagonist</topic><topic>Interleukin 1 Receptor Antagonist Protein</topic><topic>Interleukin 1 receptors</topic><topic>Leukemia</topic><topic>Leukemia, Myeloid, Acute - diagnosis</topic><topic>Leukemia, Myeloid, Acute - therapy</topic><topic>Likelihood ratio</topic><topic>Marker panels</topic><topic>Multiplexing</topic><topic>Proteins</topic><topic>Proteomics</topic><topic>proximity extension assay</topic><topic>Regression analysis</topic><topic>Serum proteins</topic><topic>Stem cell transplantation</topic><topic>Transplantation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pasic, Ivan</creatorcontrib><creatorcontrib>Ren, Annie H.</creatorcontrib><creatorcontrib>Nampoothiri, Ram Vasudevan</creatorcontrib><creatorcontrib>Prassas, Ioannis</creatorcontrib><creatorcontrib>Lipton, Jeffrey H.</creatorcontrib><creatorcontrib>Mattsson, Jonas</creatorcontrib><creatorcontrib>Diamandis, Eleftherios P.</creatorcontrib><creatorcontrib>Michelis, Fotios V.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>CLINICAL CHEMISTRY AND LABORATORY MEDICINE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pasic, Ivan</au><au>Ren, Annie H.</au><au>Nampoothiri, Ram Vasudevan</au><au>Prassas, Ioannis</au><au>Lipton, Jeffrey H.</au><au>Mattsson, Jonas</au><au>Diamandis, Eleftherios P.</au><au>Michelis, Fotios V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation</atitle><jtitle>CLINICAL CHEMISTRY AND LABORATORY MEDICINE</jtitle><addtitle>Clin Chem Lab Med</addtitle><date>2023-05-25</date><risdate>2023</risdate><volume>61</volume><issue>6</issue><spage>1005</spage><epage>1014</epage><pages>1005-1014</pages><issn>1434-6621</issn><eissn>1437-4331</eissn><abstract>Allogeneic hematopoietic cell transplantation (HCT) is associated with acute graft-vs.-host disease (aGVHD). The presented study applied a novel multiplex antibody-based proximity extension assay (PEA) proteomic platform that can detect thousands of serum proteins simultaneously for the identification of potential biomarkers of aGVHD.
Serum samples from 28 patients who underwent allogeneic HCT for acute myeloid leukemia (AML) were analyzed; 17 were diagnosed with grade II-IV aGVHD while 11 patients were not. Samples collected on day -6, day 0, +14, +30, +60 and +90 post-HCT were analyzed for the relative concentrations of 552 proteins. The concentration of each protein from baseline to the closest time point before onset of aGVHD, or to the latest time point in control patients, was documented.
Individualized analysis identified 26 proteins demonstrating ≥3-fold increase at aGVHD onset compared to baseline, eliminating proteins with a similar increase in controls. Another approach used paired t-testing and logistic regression that identified a four-marker panel, including SLAMF7, IL-1ra, BTN3A2 and DAB2, where individual log-likelihood ratios ranged from 3.99 to 8.15 (logistic regression, p=0.004-0.046). When combined, the four-marker panel demonstrated an area under the curve (AUC) of 0.90 (95% CI: 0.78-1.00; p=0.0006) with high negative predictive value of 81.8% and positive predictive value of 86.7%. All four markers play a physiological role in immune regulation. Among these, three were also present in the individualized analysis (SLAMF7, IL-1ra and BTN3A2).
We conclude that serum proteins identified using multiplex proteomics, particularly SLAMF7, IL-1ra, BTN3A2 and DAB2, may potentially predict aGVHD.</abstract><cop>Germany</cop><pub>De Gruyter</pub><pmid>36655501</pmid><doi>10.1515/cclm-2022-0916</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1589-820X</orcidid></addata></record> |
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subjects | Acute Disease acute graft-vs.-host disease Acute myeloid leukemia allogeneic hematopoietic cell transplantation (HCT) Allografts Antibodies Biomarkers Graft vs Host Disease - diagnosis Graft-versus-host reaction Hematopoietic Stem Cell Transplantation Hematopoietic stem cells Humans Immunoregulation Interleukin 1 receptor antagonist Interleukin 1 Receptor Antagonist Protein Interleukin 1 receptors Leukemia Leukemia, Myeloid, Acute - diagnosis Leukemia, Myeloid, Acute - therapy Likelihood ratio Marker panels Multiplexing Proteins Proteomics proximity extension assay Regression analysis Serum proteins Stem cell transplantation Transplantation |
title | Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation |
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