CXCL14 and miR-4484 serves as potential salivary biomarkers for early detection of peri-implantitis


Urvasızoğlu G., Kilic A., Capik O., Gundogdu M., Karatas O. F.

Odontology, 2023 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2023
  • Doi Number: 10.1007/s10266-023-00876-z
  • Journal Name: Odontology
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, MEDLINE
  • Keywords: Chemokines, CXCL family, Dental implant, Peri-implantitis, Saliva
  • Ataturk University Affiliated: Yes

Abstract

Peri-implantitis develops in 43.3% of implant patients, which affects tissues around the implant that may ultimately cause implant loss if not treated properly. Due to difficulties in detecting peri-implantitis in its early phases, implant failures are constantly on the rise. Therefore, new specific molecular markers need to be identified to prevent or limit disease progression in peri-implantitis patients. We investigated levels of CXCL9, CXCL12, and CXCL14 in saliva samples of 45 patients with commercially pure grade 4/5 Titanium–Aluminum–Vanadium implants. We analyzed the correlation of the chemokine levels using Pearson’s Correlation test and investigated their power to discriminate peri-implantitis vs. non-peri-implantitis patients using receiver operating characteristic analysis. Our in silico investigation revealed CXCL9, CXCL12, and CXCL14 as predicted targets of miR-4484, which has been demonstrated as a powerful biomarker candidate for early detection of peri-implantitis in our previous study. We measured high CXCL9 and low CXCL14 levels in the saliva of peri-implantitis patients. We also reported that the CXCL14 level showed a significant positive correlation with miR-4484. Besides, CXCL14 together with miR-4484 in saliva differentiated peri-implantitis patients from non-peri-implantitis individuals with 100% success. We offer differential expressions of CXCL14 and miR-4484 in the saliva of patients with peri-implantitis as potential salivary biomarkers for early detection of this disease.