Heterogeneity of inflammatory and cytokine networks in chronic plaque psoriasis
The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a diagnosis can easily be made on these grounds alone. However, there is great variability in treatment response between individual patients, and this may reflect het...
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description | The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a diagnosis can easily be made on these grounds alone. However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments. |
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However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0034594</identifier><identifier>PMID: 22479649</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acids ; Adult ; Aged ; Bayesian analysis ; Biology ; Care and treatment ; Chronic Disease ; Cluster analysis ; Cohort Studies ; Cytokines ; Cytokines - genetics ; Cytokines - immunology ; Dendritic cells ; Dermatology ; Disease susceptibility ; Experiments ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation ; Gene frequency ; Genes ; Genetic aspects ; Genome-Wide Association Study ; Genomes ; Genomics ; Geochemistry ; Heterogeneity ; Humans ; Inflammation ; Interleukin 13 ; Interleukin-13 - genetics ; Interleukin-13 - immunology ; Lesions ; Male ; Medical research ; Medicine ; Middle Aged ; Networks ; Patients ; Plaques ; Psoriasis ; Psoriasis - genetics ; Psoriasis - immunology ; Psoriasis - pathology ; Signatures ; Skin ; Skin - immunology ; Skin - metabolism ; Skin - pathology ; Skin diseases ; Transcription ; Transcription (Genetics) ; Young Adult</subject><ispartof>PloS one, 2012-03, Vol.7 (3), p.e34594-e34594</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-df72cc96d7e5d37a85631d47bdbf982d3733836759b3d76fec1999d40fa48f273</citedby><cites>FETCH-LOGICAL-c691t-df72cc96d7e5d37a85631d47bdbf982d3733836759b3d76fec1999d40fa48f273</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/PMC3315545/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315545/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22479649$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kontoyiannis, Dimitris L.</contributor><creatorcontrib>Swindell, William R</creatorcontrib><creatorcontrib>Xing, Xianying</creatorcontrib><creatorcontrib>Stuart, Philip E</creatorcontrib><creatorcontrib>Chen, Cynthia S</creatorcontrib><creatorcontrib>Aphale, Abhishek</creatorcontrib><creatorcontrib>Nair, Rajan P</creatorcontrib><creatorcontrib>Voorhees, John J</creatorcontrib><creatorcontrib>Elder, James T</creatorcontrib><creatorcontrib>Johnston, Andrew</creatorcontrib><creatorcontrib>Gudjonsson, Johann E</creatorcontrib><title>Heterogeneity of inflammatory and cytokine networks in chronic plaque psoriasis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a diagnosis can easily be made on these grounds alone. However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments.</description><subject>Acids</subject><subject>Adult</subject><subject>Aged</subject><subject>Bayesian analysis</subject><subject>Biology</subject><subject>Care and treatment</subject><subject>Chronic Disease</subject><subject>Cluster analysis</subject><subject>Cohort Studies</subject><subject>Cytokines</subject><subject>Cytokines - genetics</subject><subject>Cytokines - immunology</subject><subject>Dendritic cells</subject><subject>Dermatology</subject><subject>Disease susceptibility</subject><subject>Experiments</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>Gene frequency</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Geochemistry</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Interleukin 13</subject><subject>Interleukin-13 - 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However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22479649</pmid><doi>10.1371/journal.pone.0034594</doi><tpages>e34594</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acids Adult Aged Bayesian analysis Biology Care and treatment Chronic Disease Cluster analysis Cohort Studies Cytokines Cytokines - genetics Cytokines - immunology Dendritic cells Dermatology Disease susceptibility Experiments Female Gene expression Gene Expression Profiling Gene Expression Regulation Gene frequency Genes Genetic aspects Genome-Wide Association Study Genomes Genomics Geochemistry Heterogeneity Humans Inflammation Interleukin 13 Interleukin-13 - genetics Interleukin-13 - immunology Lesions Male Medical research Medicine Middle Aged Networks Patients Plaques Psoriasis Psoriasis - genetics Psoriasis - immunology Psoriasis - pathology Signatures Skin Skin - immunology Skin - metabolism Skin - pathology Skin diseases Transcription Transcription (Genetics) Young Adult |
title | Heterogeneity of inflammatory and cytokine networks in chronic plaque psoriasis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T13%3A52%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Heterogeneity%20of%20inflammatory%20and%20cytokine%20networks%20in%20chronic%20plaque%20psoriasis&rft.jtitle=PloS%20one&rft.au=Swindell,%20William%20R&rft.date=2012-03-29&rft.volume=7&rft.issue=3&rft.spage=e34594&rft.epage=e34594&rft.pages=e34594-e34594&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0034594&rft_dat=%3Cgale_plos_%3EA477004247%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1324394974&rft_id=info:pmid/22479649&rft_galeid=A477004247&rft_doaj_id=oai_doaj_org_article_c9c6ca80713f49babc4b79fdb00daf63&rfr_iscdi=true |