Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial
Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcome...
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Veröffentlicht in: | Journal of psychiatric research 2017-11, Vol.94, p.1-6 |
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description | Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response. |
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Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response.</description><identifier>ISSN: 0022-3956</identifier><identifier>ISSN: 1879-1379</identifier><identifier>EISSN: 1879-1379</identifier><identifier>DOI: 10.1016/j.jpsychires.2017.05.012</identifier><identifier>PMID: 28628884</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Antidepressant ; Antidepressive Agents - administration & dosage ; Antidepressive Agents - pharmacology ; Biomarkers - blood ; Chemokine CCL11 - drug effects ; Cytokine ; Cytokines - drug effects ; Depressive Disorder, Major - blood ; Depressive Disorder, Major - drug therapy ; Depressive Disorder, Major - immunology ; Eotaxin-1/CCL11 ; Female ; Humans ; IFN-γ ; Inflammation - blood ; Interferon-gamma - drug effects ; Male ; Middle Aged ; Multiplex ; Predictor ; Proteome - analysis ; Proteomics - methods ; Remission Induction ; Serum Amyloid P-Component - drug effects ; Single-Blind Method</subject><ispartof>Journal of psychiatric research, 2017-11, Vol.94, p.1-6</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright © 2017 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-5a7c4ba982c1c46b01cbc43400efcb4fddea56ea437d19d2c9ef392a97a732773</citedby><cites>FETCH-LOGICAL-c490t-5a7c4ba982c1c46b01cbc43400efcb4fddea56ea437d19d2c9ef392a97a732773</cites><orcidid>0000-0002-2983-1110</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jpsychires.2017.05.012$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28628884$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gadad, Bharathi S.</creatorcontrib><creatorcontrib>Jha, Manish K.</creatorcontrib><creatorcontrib>Grannemann, Bruce D.</creatorcontrib><creatorcontrib>Mayes, Taryn L.</creatorcontrib><creatorcontrib>Trivedi, Madhukar H.</creatorcontrib><title>Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial</title><title>Journal of psychiatric research</title><addtitle>J Psychiatr Res</addtitle><description>Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response.</description><subject>Adult</subject><subject>Antidepressant</subject><subject>Antidepressive Agents - administration & dosage</subject><subject>Antidepressive Agents - pharmacology</subject><subject>Biomarkers - blood</subject><subject>Chemokine CCL11 - drug effects</subject><subject>Cytokine</subject><subject>Cytokines - drug effects</subject><subject>Depressive Disorder, Major - blood</subject><subject>Depressive Disorder, Major - drug therapy</subject><subject>Depressive Disorder, Major - immunology</subject><subject>Eotaxin-1/CCL11</subject><subject>Female</subject><subject>Humans</subject><subject>IFN-γ</subject><subject>Inflammation - blood</subject><subject>Interferon-gamma - drug effects</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multiplex</subject><subject>Predictor</subject><subject>Proteome - analysis</subject><subject>Proteomics - methods</subject><subject>Remission Induction</subject><subject>Serum Amyloid P-Component - drug effects</subject><subject>Single-Blind Method</subject><issn>0022-3956</issn><issn>1879-1379</issn><issn>1879-1379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkM1u3CAUhVHUqJmkfYWKZTd2AGNjumsnv1KiZJGuEYZLwtQ2LjCR5u1DNGmzzIor9N1z7jkIYUpqSmh3uqk3S9qZJx8h1YxQUZO2JpQdoBXthaxoI-QntCKEsaqRbXeEjlPaEEIEo_wzOmJ9x_q-5yu0u48hQ5i8SXiJwfnRz484wjPoMWE_u1FPk84h7vDgw6TjH4gJB4f1nL2FpRyQyohzBJ0nKFP5WcKc4Ae-8LMtagm7GCacnwCv76rb87MCez1-QYeueMDXt_cE_b44f1hfVTd3l9frnzeV4ZLkqtXC8EHLnhlqeDcQagbDG04IODNwZy3otgPNG2GptMxIcI1kWgotGiZEc4K-73VLvL9bSFlNPhkYRz1D2CZFJaWdlD1nBe33qIkhpQhOLdGXzDtFiXotXm3Ue_HqtXhFWlWKL6vf3ly2wwT2_-K_pgvwaw9AyfrsIapkPMwGbNEyWdngP3Z5AX3qnWc</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Gadad, Bharathi S.</creator><creator>Jha, Manish K.</creator><creator>Grannemann, Bruce D.</creator><creator>Mayes, Taryn L.</creator><creator>Trivedi, Madhukar H.</creator><general>Elsevier Ltd</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><orcidid>https://orcid.org/0000-0002-2983-1110</orcidid></search><sort><creationdate>201711</creationdate><title>Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial</title><author>Gadad, Bharathi S. ; Jha, Manish K. ; Grannemann, Bruce D. ; Mayes, Taryn L. ; Trivedi, Madhukar H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-5a7c4ba982c1c46b01cbc43400efcb4fddea56ea437d19d2c9ef392a97a732773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Antidepressant</topic><topic>Antidepressive Agents - administration & dosage</topic><topic>Antidepressive Agents - pharmacology</topic><topic>Biomarkers - blood</topic><topic>Chemokine CCL11 - drug effects</topic><topic>Cytokine</topic><topic>Cytokines - drug effects</topic><topic>Depressive Disorder, Major - blood</topic><topic>Depressive Disorder, Major - drug therapy</topic><topic>Depressive Disorder, Major - immunology</topic><topic>Eotaxin-1/CCL11</topic><topic>Female</topic><topic>Humans</topic><topic>IFN-γ</topic><topic>Inflammation - blood</topic><topic>Interferon-gamma - drug effects</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multiplex</topic><topic>Predictor</topic><topic>Proteome - analysis</topic><topic>Proteomics - methods</topic><topic>Remission Induction</topic><topic>Serum Amyloid P-Component - drug effects</topic><topic>Single-Blind Method</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gadad, Bharathi S.</creatorcontrib><creatorcontrib>Jha, Manish K.</creatorcontrib><creatorcontrib>Grannemann, Bruce D.</creatorcontrib><creatorcontrib>Mayes, Taryn L.</creatorcontrib><creatorcontrib>Trivedi, Madhukar H.</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><jtitle>Journal of psychiatric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gadad, Bharathi S.</au><au>Jha, Manish K.</au><au>Grannemann, Bruce D.</au><au>Mayes, Taryn L.</au><au>Trivedi, Madhukar H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial</atitle><jtitle>Journal of psychiatric research</jtitle><addtitle>J Psychiatr Res</addtitle><date>2017-11</date><risdate>2017</risdate><volume>94</volume><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>0022-3956</issn><issn>1879-1379</issn><eissn>1879-1379</eissn><abstract>Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28628884</pmid><doi>10.1016/j.jpsychires.2017.05.012</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-2983-1110</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Antidepressant Antidepressive Agents - administration & dosage Antidepressive Agents - pharmacology Biomarkers - blood Chemokine CCL11 - drug effects Cytokine Cytokines - drug effects Depressive Disorder, Major - blood Depressive Disorder, Major - drug therapy Depressive Disorder, Major - immunology Eotaxin-1/CCL11 Female Humans IFN-γ Inflammation - blood Interferon-gamma - drug effects Male Middle Aged Multiplex Predictor Proteome - analysis Proteomics - methods Remission Induction Serum Amyloid P-Component - drug effects Single-Blind Method |
title | Proteomics profiling reveals inflammatory biomarkers of antidepressant treatment response: Findings from the CO-MED trial |
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