{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:16Z","timestamp":1791849616801,"version":"4.3.4"},"reference-count":43,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T00:00:00Z","timestamp":1770336000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T00:00:00Z","timestamp":1770336000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["NWA.1389.20.182"],"award-info":[{"award-number":["NWA.1389.20.182"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acad Dermatol Venereol"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Dutch flagship project Next Generation ImmunoDermatology (NGID) aims to profile five chronic immune\u2010mediated inflammatory skin diseases: atopic dermatitis (AD), plaque psoriasis (PSO), hidradenitis suppurativa (HS), chronic spontaneous urticaria (CSU) and cutaneous lupus erythematosus (CLE) in comparison with cutaneous T\u2010cell lymphoma subtype mycosis fungoides (MF) and healthy volunteers. Within NGID, a clinical study entitled: \u2018SKIN disease profiling by an Exploratory, pRospective, biomarker study in dermatoloGY practice (SKINERGY)\u2019 will be conducted as a multicentre, parallel\u2010cohort, open\u2010label, observational, longitudinal basket study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Objectives include evaluation of disease\u2010related characteristics in comparison to those of healthy volunteers and evaluation of biomarkers for disease stratification and (targeted) treatment response in patients in a real\u2010world clinical setting. Additionally, differences and similarities in disease characteristics between diseases, changes over time, and profiles of responders versus non\u2010responders will be evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Patients with AD (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009120), PSO (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009160), HS (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u200980), CSU (N\u2009=\u2009120) and CLE (N\u2009=\u2009120) will be enrolled in groups of\n                      <jats:italic>N<\/jats:italic>\n                      \u2009\u2264\u200940 patients per treatment. Matched healthy volunteers (N\u2009=\u2009120) and the MF cohort (N\u2009=\u2009120) will serve as control groups. Assessments include blood sampling, skin punch biopsies, tape stripping, skin swabs, (multimodal) imaging, tele\u2010health and patient\u2010 and physician\u2010reported outcomes. This manuscript describes the study protocol prior to data collection and its strategic evaluation of multi\u2010omics profiling. Patient advocacy groups co\u2010defined the research agenda and contributed to study design and informed consent document development, ensuring alignment with patients' needs and real\u2010world relevance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>SKINERGY will generate a machine learning\u2010ready dataset with information about changes in various biomarkers over time, including histology, metabolomics, spatial proteomics, transcriptomics, lipidomics, microbiomics, imaging biomarkers, tele\u2010health, patient\u2010reported outcome measures (PROMs) and clinical parameters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Identified biomarker profiles within SKINERGY may guide targeted treatment selection, enhance targeted therapeutic response in clinical practice and improve understanding of disease pathology in chronic immune\u2010mediated skin diseases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdv.70311","type":"journal-article","created":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T10:01:06Z","timestamp":1770372066000},"page":"1490-1501","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi\u2010omics profiling of chronic immune\u2010mediated skin diseases:\n                    <scp>SKINERGY<\/scp>\n                    protocol and strategic evaluation"],"prefix":"10.1111","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9195-8729","authenticated-orcid":false,"given":"N. 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