Evidence map›Paper›PMID 41973972›Full record

ReviewClinical and experimental dental research2026

Impact of OMICS Technologies in Our Understanding of the Pathogenesis of Peri-Implantitis.

Farah Asa'ad, Akira Hasuike, Koki Yoshida, Ronaldo Lira-Junior, Akhilanand Chaurasia, Paula Milena Giraldo-Osorno, Carlos Garaicoa-Pazmino

Abstract readReview
In one paragraph

Review in Clinical and experimental dental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Farah Asa'adDepartment of Oral Biochemistry, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.ORCID 0000-0001-5186-2645
Akira HasuikeDepartment of Periodontology, Nihon University School of Dentistry, Tokyo, Japan.ORCID 0000-0001-5150-2076
Koki YoshidaDivision of Oral Medicine and Pathology, Department of Human Biology and Pathophysiology, School of Dentistry, Health Sciences University of Hokkaido, Hokkaido, Japan.
Ronaldo Lira-JuniorDivision of Oral Diagnostics and Surgery, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-0297-5138
Akhilanand ChaurasiaDepartment of Oral Medicine and Radiology, King George's Medical University, Lucknow, India.ORCID 0000-0002-8356-9512
Paula Milena Giraldo-OsornoDepartment of Medical and Translational Biology, Umeå University, Umeå, Sweden.
Carlos Garaicoa-PazminoDepartment of Periodontics, University of Iowa College of Dentistry, Iowa City, Iowa, USA.

Funding

Hjalmar Svensson Foundation HJSV2023038
6 · The paper itself

Abstract

objectivesTo evaluate the contribution of OMICS technologies to the understanding of peri-implantitis pathogenesis from a host immune perspective. MATERIALS AND

methodsA narrative review was conducted based on electronic searches of PubMed, MEDLINE, and Google Scholar up to October 2025, complemented by manual screening of reference lists. Search terms combined "peri-implantitis" with OMICS-related keywords, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, RNA sequencing, single-cell and spatial transcriptomics, multi-omics, and machine learning. Studies were selected based on clinical relevance and their contribution to understanding peri-implantitis pathogenesis from a host immune perspective.

resultsAmong the studies included, most focused on transcriptomic analyses, while fewer investigated genomics, epigenomics, proteomics, or metabolomics. Integration across OMICS layers highlights peri-implantitis as a multilayered host-microbiome molecular ecosystem. Genomic variants affecting metal ion binding, cytoskeletal organization, and cell adhesion may predispose tissues to heightened immune sensitivity. Epigenomic analyses revealed differential DNA methylation of immune-regulatory and signaling genes, linking environmental exposures, such as smoking, to altered host responses. Transcriptomic studies, including bulk, single-cell, and spatial approaches, demonstrated dysregulated immune signaling, pro-inflammatory fibroblast-neutrophil interactions, oxidative stress, and dysregulated tissue remodeling. Proteomic profiling of peri-implant crevicular fluid confirmed elevated neutrophil-derived antimicrobial proteins and inflammatory mediators, reflecting active host defense responses. Metabolomic studies identified disease-specific alterations in amino acids, organic acids, and polyamines, which correlate with pathogenic microbial taxa and modulate immune and tissue responses. Collectively, these findings reveal convergent pathways of immune dysregulation, extracellular matrix disruption, tissue remodeling, and host-microbiome crosstalk as central features of peri-implantitis.

conclusionsOMICS analyses show that peri-implantitis is a complex host-microbiome molecular ecosystem. Integrated molecular insights provide a foundation for biomarker development, predictive diagnostics, and targeted interventions. However, future studies with larger cohorts and functional validation are needed to support clinical translation.

Indexed as

GenomicsPeri-ImplantitisEpigenomicsHumansMetabolomicsMultiomicsProteomicsepigenomicsgenomicsmetabolomicsperi‐implantitisproteomicstranscriptomics

Identifiers

PMID41973972
PMCPMC13075810

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.