{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T22:27:52Z","timestamp":1789079272166,"version":"build-2803163510"},"reference-count":143,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T00:00:00Z","timestamp":1763337600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100004319","name":"Pfizer","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004319","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Allergy"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>While significant progress has been made in understanding the molecular characteristics of inflammatory skin diseases, their systemic impact warrants further investigation. A comprehensive large\u2010scale study that examines systemic proteomic expression across the most common inflammatory skin diseases is currently lacking.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Serum from 38 alopecia areata\/\n                      <jats:styled-content style=\"fixed-case\">AA<\/jats:styled-content>\n                      , 41 atopic dermatitis\/\n                      <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>\n                      , 21 psoriasis, 18 hidradenitis suppurativa\/\n                      <jats:styled-content style=\"fixed-case\">HS<\/jats:styled-content>\n                      , and 25 vitiligo patients was analyzed using\n                      <jats:styled-content style=\"fixed-case\">OLINK<\/jats:styled-content>\n                      high\u2010throughput multiplex assay explore panel and compared to 49 healthy\u2010matched controls. Differentially expressed proteins\/\n                      <jats:styled-content style=\"fixed-case\">DEPs<\/jats:styled-content>\n                      were defined using the criteria of fold change\/|\n                      <jats:styled-content style=\"fixed-case\">FCH<\/jats:styled-content>\n                      |\u2009&gt;\u20091.2,\n                      <jats:styled-content style=\"fixed-case\">FDR\u2009&lt;<\/jats:styled-content>\n                      \u20090.1. Spearman analysis was also conducted to identify correlations between biomarkers and disease severity. Gene ontology of\n                      <jats:styled-content style=\"fixed-case\">DEPs<\/jats:styled-content>\n                      was performed using enrichr.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Our results reveal both distinct and shared patterns of systemic dysregulation across the spectrum of inflammatory diseases.\n                      <jats:styled-content style=\"fixed-case\">HS<\/jats:styled-content>\n                      exhibited the highest level of dysregulation compared to healthy serum, followed by\n                      <jats:styled-content style=\"fixed-case\">AA<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>\n                      , psoriasis, and vitiligo. The\n                      <jats:styled-content style=\"fixed-case\">DEPs<\/jats:styled-content>\n                      identified in\n                      <jats:styled-content style=\"fixed-case\">HS<\/jats:styled-content>\n                      showed the greatest overlap with those in psoriasis, while\n                      <jats:styled-content style=\"fixed-case\">AA<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>\n                      also displayed significant similarity.\n                      <jats:styled-content style=\"fixed-case\">HS<\/jats:styled-content>\n                      and\/or psoriasis primarily showed upregulation of markers belonging to T\u2010cell activation\/migration (interleukin\/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">2RA<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CD40LG<\/jats:styled-content>\n                      ), innate immunity (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u20106\/\n                      <jats:styled-content style=\"fixed-case\">CXCL8<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u20108), Th1 (\n                      <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CXCL9<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CXCL10<\/jats:styled-content>\n                      ), and Th17\/22 (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">17A<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u201020\/\n                      <jats:styled-content style=\"fixed-case\">CXCL1<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">LCN2<\/jats:styled-content>\n                      ) compared to normal.\n                      <jats:styled-content style=\"fixed-case\">AA<\/jats:styled-content>\n                      and\/or\n                      <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>\n                      were characterized by upregulation of markers of general inflammation (\n                      <jats:styled-content style=\"fixed-case\">MMP12<\/jats:styled-content>\n                      ), T\u2010cell activation\/migration (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u201015\/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u201016), T Helper 1\/Th1 (\n                      <jats:styled-content style=\"fixed-case\">IFNGR1<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CXCL10<\/jats:styled-content>\n                      ), Th2 (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">4R<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CCL26<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">CCL27<\/jats:styled-content>\n                      ), Th17\/22 (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u201019\/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u201020\/\n                      <jats:styled-content style=\"fixed-case\">PI3<\/jats:styled-content>\n                      ) compared to controls.\n                      <jats:styled-content style=\"fixed-case\">HS<\/jats:styled-content>\n                      showed the largest dysregulation in cardiovascular\/\n                      <jats:styled-content style=\"fixed-case\">CV<\/jats:styled-content>\n                      \/atherosclerosis markers (\n                      <jats:styled-content style=\"fixed-case\">PDGFA<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">SELP<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">MMP9<\/jats:styled-content>\n                      ) compared to controls (all\n                      <jats:styled-content style=\"fixed-case\">FDR\u2009&lt;<\/jats:styled-content>\n                      \u20090.05). Spearman analysis captured multiple positive correlations between key immune markers (\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">4R<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">OX40<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">TNFRSF4<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">IL<\/jats:styled-content>\n                      \u2010\n                      <jats:styled-content style=\"fixed-case\">17A<\/jats:styled-content>\n                      \/\n                      <jats:styled-content style=\"fixed-case\">TNF<\/jats:styled-content>\n                      ) and respective clinical severity scores (e.g.,\n                      <jats:styled-content style=\"fixed-case\">SALT<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">SCORAD<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">IHS4<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">PASI<\/jats:styled-content>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Various inflammatory skin diseases show shared and distinct systemic protein immune activation. Overlap across conditions encourages the investigation of shared therapeutic approaches.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/all.70157","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T11:20:52Z","timestamp":1763378452000},"page":"524-538","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Large\u2010Scale Blood Proteomic Analysis Across Different Inflammatory Skin Conditions Reveals Extensive Immune Dysregulation With Distinct Biomarker Profiles"],"prefix":"10.1111","volume":"81","author":[{"given":"Jacob W.","family":"Glickman","sequence":"first","affiliation":[{"name":"Department of Dermatology and Laboratory of Inflammatory Skin Diseases Icahn School of Medicine at Mount Sinai  New York New York 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