ArticleJournal of proteome research2025
Evaluation of Peri-Implantitis through Fourier-Transform Infrared Spectroscopy on Saliva.
Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07045636 (Microbial Modulation by PEMF on Paque Induced Mucositis in Dental Implants Placed in Human Jaws), which is not on this map. Cited by 3 papers.
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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.
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.
Microbial Modulation by PEMF on Paque Induced Mucositis in Dental Implants Placed in Human Jaws: Microbiome and Proteomic Analysis.
Who cites it
3 citing papers in PubMed.
- Peri-Implant Crevicular Fluid Analysis by Mid-Infrared Spectroscopy in Peri-Implantitis-A Pilot Study.Clinical oral implants research · 2026Article
- Comparative analysis of the microbiota in gingival crevicular fluid from peri-implantitis and periodontitis using 16 S ribosomal RNA gene amplicon sequencing: a cross-sectional study.BMC oral health · 2025Article
- A scoping review of diagnostic techniques used for the detection of peri-implantitis around endosseous dental implants.Frontiers in dental medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeri-implantitis is characterized as a pathological change in the tissues around dental implants. Fourier-transform infrared spectroscopy (FTIR) provides molecular information from optical phenomena observed by the vibration of molecules, which is used in biological studies to characterize changes and serves as a form of diagnosis.
aimsthis case-control study evaluated the peri-implant disease by using FTIR spectroscopy with attenuated total reflectance in the fingerprint region.
methods38 saliva samples were evaluated, 17 from the control group and 21 from the peri-implantitis group. Clinical data such as plaque index (PI), gingival index, probing depth (PS), and attachment level were assessed.
resultsThe results of clinical parameters showed a statistical difference between the two groups regarding an excess of the PI. In the FTIR-ATR analysis, the main components revealed vibrational modes of fatty acids, histidine, lipid esters, nucleic acids, and tryptophan, with the main molecules contributing to spectral discrimination. The five-component partial least-squares discriminant analysis classification model had an accuracy of 81%, showing differences between healthy and diseased implants.
conclusionthe FTIR spectroscopy provides important molecular characteristics of the samples and the results in association with clinical data show the effectiveness of using this tool for diagnosing the disease.
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