7.2 Periimplantäre Infektionen als biologische Spätkomplikation

Schwarz, Frank; Becker, J.; Bonsmann, M.; Behneke, A.

doi:10.1007/s40406-013-0007-5

Cited by 1 publication

(2 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Early non‐invasive diagnostic tools or parameters are missing, only invasive, unspecific diagnostic tools, for example, peri‐implant pocket depth measurement, radiological peri‐implant bone level are available to detect peri‐implantitis 10 . Radiological bone loss and probing depth indicate peri‐implantitis when the disease has already progressed.…”

Section: Introductionmentioning

confidence: 99%

“…9 Early non-invasive diagnostic tools or parameters are missing, only invasive, unspecific diagnostic tools, for example, peri-implant pocket depth measurement, radiological peri-implant bone level are available to detect periimplantitis. 10 Radiological bone loss and probing depth indicate peri-implantitis when the disease has already progressed. The microbiological analysis of peri-implant disease has not revealed any consistent, disease-specific microbiome profiles and can therefore not be used for diagnosis or disease monitoring.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of peri‐implantitis on the proteome biology of crevicular fluid: A pilot study

Halstenbach

Nelson

Iglhaut

et al. 2023

Journal of Periodontology

View full text Add to dashboard Cite

Background:The proteome of the peri-implant crevicular fluid (PICF) has not been systematically investigated. The aim of the present study was to reveal the proteome biology of dental implants affected with peri-implantitis. Methods: Patients with at least one diseased implant were included (probing depth ≥6 mm, ≥3 mm peri-implant radiological bone loss). Using sterile paper strips, samples were collected from healthy implants (I), healthy teeth (T) and peri-implantitis affected implants (P). Proteome analysis was performed using liquid chromatography -tandem mass spectrometry (LC-MS/MS) and data independent acquisition, allowing the identification and quantification of human and bacterial proteins as well as semi-specific peptides. Results: A total of 38 samples from 14 patients were included in the study; 2332 different human proteins were identified across all samples. No differentially expressed proteins between T and I were found. Comparing P to I, 59 proteins were found upregulated and 31 downregulated in P with significance. Upregulated proteins included proinflammatory proteins such as immunoglobulins, dysferlin, and S100P, as well as antimicrobial proteins, for example, myeloperoxidase or azurocidin. Gene ontology analysis further revealed higher activity of immunological pathways. Proteolytic patterns indicated the activity of inflammatory proteins such as cathepsin G. A total of 334 bacterial proteins were identified and quantified. Peri-implantitis showed elevated proteolytic activity. Conclusion:I and T share similarities in their proteome, while diseased implants deviate strongly from healthy conditions. The PICF proteome of periimplantitis affected sites exhibits an inflammatory fingerprint, dominated by neutrophil activity when compared with healthy implants.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%