{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T10:17:45Z","timestamp":1788171465703,"version":"build-2803163510"},"reference-count":123,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Periodontology 2000"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To map omics evidence across peri\u2010implant health, peri\u2010implant mucositis, and peri\u2010implantitis, and to identify recurring molecular patterns and candidate biomarker signals relevant to diagnosis, monitoring, and treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>This scoping review included human studies using genomics, DNA methylation\u2013based epigenomics, bulk and single\u2010cell transcriptomics, non\u2010coding RNA analyses (including miRNA, lncRNA, and circRNA), proteomics, metabolomics, and microbiome profiling. Findings were organized by clinical state (health, mucositis, peri\u2010implantitis) and interpreted within an implant\u2010conditioned niche shaped by microbial, host, and biomaterial\u2010related influences.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of 319 records identified, 78 studies were included. Most focused on genomics, transcriptomics, and the microbiome, with fewer studies in DNA methylation\u2013based epigenomics, proteomics, and metabolomics. Peri\u2010implant health was generally associated with oxygen\u2010tolerant, biosynthetically active microbial communities and a regulated host\u2010response baseline. Peri\u2010implant mucositis appeared to be an intermediate plaque\u2010induced state marked by expansion of bridge anaerobes and early innate inflammatory activation, but it was under\u2010represented in transcriptomic, proteomic, and epigenomic datasets. Peri\u2010implantitis was associated with stronger coupling between dysbiosis and host\u2010destructive responses, including recurrent innate inflammatory hubs, chemokine\u2010driven myeloid recruitment, protease activity, osteo\u2010immune imbalance, and catabolic metabolomic profiles enriched in polyamines and short\u2010chain fatty acids. DNA methylation studies linked disease status, and in limited cohorts, titanium particle burden, with altered methylation patterns. Non\u2010coding RNA studies suggested additional regulatory networks related to inflammation and bone\u2010associated signaling. Treatment studies indicated that decontamination may reduce bacterial biomass on rough titanium surfaces, but it does not consistently eliminate residual biofilm, suggesting biological improvements may reflect ecological shifts rather than complete surface decontamination.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Current omics evidence suggests that peri\u2010implant disease follows a staged, implant\u2010conditioned biological trajectory rather than a simple binary healthy\/diseased model.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/prd.70056","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T09:47:16Z","timestamp":1788169636000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mapping the omics landscape for peri\u2010implant diseases: A scoping 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