{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T04:03:26Z","timestamp":1788840206789,"version":"build-2803163510"},"reference-count":52,"publisher":"Oxford University Press (OUP)","issue":"24","license":[{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung and Blood Institute","doi-asserted-by":"publisher","award":["R01HL15807101A1"],"award-info":[{"award-number":["R01HL15807101A1"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung and Blood Institute","doi-asserted-by":"publisher","award":["K08HL159344"],"award-info":[{"award-number":["K08HL159344"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015131","name":"Foundation for Sarcoidosis Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015131","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Bogle Family Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>Cardiac sarcoidosis (CS) is poorly understood, challenging to diagnose, and portends a poor prognosis. A lack of animal models necessitates the use of residual human samples to study sarcoidosis, which in turn necessitates the use of analytical tools compatible with archival, fixed tissue. This study employed high-plex spatial protein analysis to characterize the immunologic, fibrotic, and metabolic landscape of CS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Cardiac tissues from 64 patients\u201439 with CS and 25 without CS (Controls)\u2014were analysed using the GeoMx Digital Spatial Profiler. Regions of interest (ROIs) with and without granulomatous inflammation were selected to examine protein abundance. ROIs were further divided into areas of illumination to separately analyse distinct protein profiles in myocytes, stroma, and vessels. A 79-protein panel was used to characterize immune and parenchymal cell populations. Differential protein abundance was evaluated using mixed-effects modeling. A predictive model was developed using a subset of seven proteins to distinguish inflammation-free CS ROIs from control ROIs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Spatial profiling demonstrated marked heterogeneity within and between sarcoidosis granulomas. Inflammation-free ROIs from CS hearts exhibited a \u2018distance gradient\u2019, with protein abundance varying by proximity to granulomatous inflammation. The seven-protein predictive model achieved 95.9% accuracy and an area under the receiver operating characteristic curve of 0.993 in differentiating inflammation-free CS ROIs from Controls.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Spatial proteomics revealed novel features of the CS microenvironment and identified a distinct immune signature in tissue lacking overt inflammation. These findings may improve diagnostic accuracy in clinical biopsies from patients with suspected CS.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/eurheartj\/ehaf990","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T13:05:20Z","timestamp":1765976720000},"page":"3174-3188","source":"Crossref","is-referenced-by-count":7,"title":["Cardiac sarcoidosis: new insights beyond the granuloma using spatial proteomics"],"prefix":"10.1093","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3350-3136","authenticated-orcid":false,"given":"Eliot G","family":"Peyster","sequence":"first","affiliation":[{"name":"Wesley Research Institute , Level 8, East Wing, The Wesley Hospital, 451 Coronation Dr, Auchenflower, QLD 4066 ,","place":["Australia"]},{"name":"Cardiovascular Institute, University of Pennsylvania , Smilow TRB, 11th floor, 3400 Civic Center Blvd, Philadelphia, PA 19104 ,","place":["USA"]},{"name":"Division of Cardiovascular 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