Comprehensive Analysis of Single Nucleotide Polymorphisms in Pro-inflammatory Cytokine Genes as Predictive Biomarkers for Peri-implantitis Susceptibility

Authors

  • Yahia Nassif AlAhmad General Dentist, YN Medical Center, Saudi Arabia Author
  • Rakan Saifuddin Shaheen Periodontics Division, Preventive Dentistry Department, Riyadh Elm University, Riyadh, Saudi Arabia Author
  • Jarrah Adel Alabdali Dental Registrar Assistant at the Ministry of Health, Kuwait Author
  • Sultan Nayef Alotaibi Dental Registrar Assistant at the Ministry of Health, Kuwait Author
  • Saud Mohammed Ali Bin Thafrah General dentist, Saudi Arabia. Author
  • Omar Ahmad Jasem Alsaad General Dentist, YN Medical Center, Saudi Arabia Author

DOI:

https://doi.org/10.4238/qwhere13

Keywords:

Peri-implantitis, Single-nucleotide polymorphisms, Pro-inflammatory cytokines, Genetic susceptibility, Bone metabolism

Abstract

Peri-implantitis, an inflammatory condition affecting tissues surrounding dental implants, represents a significant challenge in implant dentistry. This comprehensive review examines the role of single-nucleotide polymorphisms (SNPs) in pro-inflammatory cytokine genes as potential predictive biomarkers for peri-implantitis susceptibility. Current evidence suggests that genetic variations in TNF-α, IL-1, IL-6, RANK/RANKL/OPG, and matrix metalloproteinase genes may influence individual susceptibility to peri-implantitis through altered inflammatory responses and bone metabolism. This review analyzes the strength of evidence across different populations, explores interactions with environmental risk factors, and discusses clinical implications for personalized implant therapy. Despite promising findings, methodological heterogeneity limits definitive conclusions, highlighting the need for larger prospective studies with standardized protocols to validate these genetic markers for clinical use.

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Published

2025-11-10

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Articles

How to Cite

Comprehensive Analysis of Single Nucleotide Polymorphisms in Pro-inflammatory Cytokine Genes as Predictive Biomarkers for Peri-implantitis Susceptibility. (2025). Genetics and Molecular Research, 24(3), 1-13. https://doi.org/10.4238/qwhere13

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