Cytokines as Key Drivers of Pathological Root Resorption: Integrating Molecular Mechanisms, Genetic Determinants, and Biomarker-Based Insights
Abstract
1. Introduction
2. Review Methodology
2.1. Search Strategy and Selection Criteria
2.2. Quality Appraisal and Evidence Synthesis Framework
2.3. Hierarchy of Evidence and Interpretation of Conflicting Findings
2.4. Study Exclusion and Evidence Prioritization
2.5. Critical Integrative Component of the Analysis
3. Cytokines and Chemokines in the Pathogenesis of PRR
3.1. Cellular Sources and Inflammatory Microenvironment
Sterile Versus Infection-Driven Inflammation in PRR
3.2. Pro-Inflammatory Cytokines and Osteoclast Activation
3.3. Cytokine Balance and Intracellular Signaling Pathways in PRR
3.4. The RANK/RANKL/OPG Axis in PRR
3.5. Chemokines and Recruitment of Osteoclast Precursors
3.6. Matrix Degradation and Cytokine–MMP Interactions
3.7. From Physiological Remodeling to Pathological Resorption
3.8. Translational Relevance
4. Genetic Regulation of Cytokine-Mediated Responses in PRR
4.1. Cytokine Gene Polymorphisms
4.2. RANK/RANKL/OPG Axis
4.3. Vitamin D Receptor (VDR)
4.4. P2RX7 and DSPP
5. Emerging Diagnostic Biomarkers
6. Epigenetics and Gene–Environment Interactions
7. Personalized Therapeutics and Clinical Translation
8. Ethical and Practical Considerations
9. Limitations and Future Directions
10. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| PRR | Pathological Root Resorption |
| IL-1β | Interleukin-1 beta |
| IL-6 | Interleukin-6 |
| TNF-α | Tumor Necrosis Factor-alpha |
| RANK | Receptor Activator of Nuclear Factor Kappa-B |
| RANKL | Receptor Activator of Nuclear Factor Kappa-B Ligand |
| OPG | Osteoprotegerin |
| CXCL8 | C-X-C Motif Chemokine Ligand 8 |
| IL-8 | Interleukin-8 |
| CCL2 | C-C Motif Chemokine Ligand 2 |
| MMP-9 | Matrix Metalloproteinase-9 |
| GCF | Gingival Crevicular Fluid |
| sRANKL | Soluble Receptor Activator of Nuclear Factor Kappa-B Ligand |
| miRNA | MicroRNA |
| IL1B | Interleukin 1 Beta Gene |
| IL6 | Interleukin 6 Gene |
| TNFA | Tumor Necrosis Factor Alpha Gene |
| TNFSF11 | TNF Superfamily Member 11 |
| TNFRSF11B | TNF Receptor Superfamily Member 11B |
| VDR | Vitamin D Receptor |
| SNP | Single Nucleotide Polymorphism |
| P2RX7 | Purinergic Receptor P2X 7 |
| DSPP | Dentin Sialophosphoprotein |
| CBCT | Cone-Beam Computed Tomography |
| ATR-FTIR | Attenuated Total Reflectance Fourier-Transform Infrared Spectroscopy |
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| Gene | Biological Role | Key Polymorphisms | Functional Impact in PRR | Clinical Relevance | Study Type | Strength of Evidence | Key Limitations |
|---|---|---|---|---|---|---|---|
| IL1B | Pro-inflammatory cytokine signaling | −511C>T | Increased IL-1β expression and osteoclast activation | Early inflammatory response; risk marker for enhanced resorption | Clinical genetic association studies | Moderate | Small cohorts; population variability |
| IL6 | Regulation of inflammatory cascade | −174G>C | Sustained inflammation and osteoclast precursor differentiation | Associated with disease progression and severity | Clinical observational/genetic studies | Moderate | Ethnic variability |
| TNFA | Amplifies inflammatory signaling | −308G>A | Enhances inflammatory signaling and promotes a pro-resorptive cellular environment | Indicator of increased resorptive activity | Clinical genetic studies | Moderate | Inconsistent replication |
| TNFSF11 (RANKL) | Osteoclast differentiation | Multiple SNPs | Enhanced RANKL expression and clastic activation | Potential therapeutic target (e.g., anti-RANKL therapy) | Human and experimental studies | High | Limited longitudinal data |
| TNFRSF11B (OPG) | Inhibits RANKL signaling | Various SNPs | Reduced OPG levels and loss of inhibitory control | Protective factor; imbalance increases PRR susceptibility | Human and experimental studies | High | Small sample sizes |
| VDR | Immune and bone regulation | FokI, TaqI, BsmI | Modulates inflammatory and bone-remodeling pathways | Gene–environment interaction (vitamin D status); risk stratification | Human observational studies | Moderate | Vitamin D confounding |
| P2RX7 | Osteoclast apoptosis | Loss-of-function variants | Prolonged osteoclast survival and sustained resorption | Potential target for modulating inflammatory responses | Experimental studies | Low–moderate | Limited clinical validation |
| DSPP | Dentin matrix formation | Various mutations | Structural dentin defects and increased clastic adhesion | Associated with susceptibility to internal resorption | Experimental studies | Low | Mostly mechanistic evidence |
| Biomarker | Biological Source | Role in PRR | Diagnostic/ Clinical Utility | Study Type | Strength of Evidence | Key Limitations |
|---|---|---|---|---|---|---|
| IL-1β | GCF, saliva | Promotes osteoclast activation and inflammation | Early marker of inflammatory activity | Clinical studies | High | Lack of standardized thresholds |
| IL-6 | GCF, saliva | Sustains chronic inflammation | Indicator of disease progression | Clinical studies | High | Inter-individual variability |
| TNF-α | GCF, saliva | Amplifies inflammatory activity and tissue resorption | Marker of resorption severity | Clinical studies | High | Variable analytical methods |
| MMP-9 | GCF, saliva | Degrades extracellular matrix and dentin | Marker of active tissue breakdown | Clinical studies | Moderate–high | Limited specificity |
| sRANKL | GCF | Reflects osteoclast activation | Correlates with resorptive activity | Human studies | Moderate | Variable collection methods |
| OPG | GCF | Inhibits osteoclastogenesis | Protective biomarker; low levels indicate risk | Human studies | Moderate | Limited longitudinal evidence |
| RANKL/OPG ratio | GCF | Reflects balance of bone resorption | Predictive indicator of disease progression | Clinical studies | High | Lack of standard cutoff values |
| miR-21 | Saliva, GCF | Promotes osteoclast differentiation | Potential early predictive biomarker | Experimental + clinical studies | Low–moderate | Limited validation |
| miR-29b | Saliva, GCF | Regulates bone remodeling pathways | Monitoring tool for resorptive activity | Experimental studies | Low | Mostly experimental data |
| Research Area | Current Evidence Gap | Clinical/Scientific Impact | Future Research Priority |
|---|---|---|---|
| Cytokine biomarkers | Small and heterogeneous patient cohorts | Reduced reproducibility and limited clinical implementation | Large-scale longitudinal studies |
| Genetic susceptibility markers | Population-specific variability in reported associations | Difficult generalization across populations | Multi-center genomic studies involving diverse populations |
| MicroRNA regulation | Predominantly experimental evidence | Limited translational applicability | Clinical validation and functional studies |
| Epigenetic mechanisms | Limited mechanistic and longitudinal data | Incomplete understanding of regulatory pathways | Multi-omics integration studies |
| Biomarker standardization | Variability in sample collection and analytical protocols | Reduced diagnostic reliability | Standardized sampling and analytical methodologies |
| Diagnostic performance | Limited sensitivity and specificity data | Restricted clinical utility | Development of validated predictive models |
| Personalized therapeutics | Lack of targeted interventional studies | Insufficient evidence for routine application | Evaluation of biomarker-guided therapeutic strategies |
| Precision dentistry integration | Limited clinical implementation studies | Delayed translation into routine practice | Integration of genetic, epigenetic, and biomarker-based approaches |
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Pavlovici, R.-C.; Albu, C.-C.; Bogdan-Andreescu, C.F.; Tudor, V.; Bubulac, L.; Gheorghe, I.-R.; Spînu, A.D.; Cadar, E.; Slăvescu, D.A.; Păcurar, M. Cytokines as Key Drivers of Pathological Root Resorption: Integrating Molecular Mechanisms, Genetic Determinants, and Biomarker-Based Insights. Biomedicines 2026, 14, 1256. https://doi.org/10.3390/biomedicines14061256
Pavlovici R-C, Albu C-C, Bogdan-Andreescu CF, Tudor V, Bubulac L, Gheorghe I-R, Spînu AD, Cadar E, Slăvescu DA, Păcurar M. Cytokines as Key Drivers of Pathological Root Resorption: Integrating Molecular Mechanisms, Genetic Determinants, and Biomarker-Based Insights. Biomedicines. 2026; 14(6):1256. https://doi.org/10.3390/biomedicines14061256
Chicago/Turabian StylePavlovici, Romina-Christiana, Cristina-Crenguţa Albu, Claudia Florina Bogdan-Andreescu, Viorica Tudor, Lucia Bubulac, Iuliana-Raluca Gheorghe, Arsenie Dan Spînu, Emin Cadar, Dan Alexandru Slăvescu, and Mariana Păcurar. 2026. "Cytokines as Key Drivers of Pathological Root Resorption: Integrating Molecular Mechanisms, Genetic Determinants, and Biomarker-Based Insights" Biomedicines 14, no. 6: 1256. https://doi.org/10.3390/biomedicines14061256
APA StylePavlovici, R.-C., Albu, C.-C., Bogdan-Andreescu, C. F., Tudor, V., Bubulac, L., Gheorghe, I.-R., Spînu, A. D., Cadar, E., Slăvescu, D. A., & Păcurar, M. (2026). Cytokines as Key Drivers of Pathological Root Resorption: Integrating Molecular Mechanisms, Genetic Determinants, and Biomarker-Based Insights. Biomedicines, 14(6), 1256. https://doi.org/10.3390/biomedicines14061256

