The olive tree (Olea europaea L.) has been cultivated for millennia, with olive oil representing both a cornerstone of the Mediterranean diet and a major agricultural commodity. Its composition, rich in monounsaturated fatty acids, polyphenols, tocopherols and squalene, supports well-documented cardioprotective, antioxidant and anti-inflammatory benefits. Olive oil production generates substantial secondary streams, including pomace, leaves, pits and mill wastewater, which are rich in phenols, triterpenes and fibers. This review consolidates recent advances in their phytochemical characterization, innovative extraction technologies and health-promoting effects, while highlighting the economic and regulatory prospects for industrial adoption. Comparative analysis shows that olive leaves can produce up to 16,674.0–50,594.3 mg/kg total phenolics; oleuropein 4570.0–27,547.7 mg/kg, pomace retains 2.24 g GAE/100 g dried matrix (DM)total phenolics; oil 13.66% DM; protein 6.64% DM, and wastewater contains high concentration of phenolics content of olives. Innovative extraction techniques, such as ultrasound and microwave-assisted methods, allow for a recovery, while reducing solvent use and energy input. The analysis highlights opportunities for integrating these by-products into circular bioeconomy models, supporting the development of functional foods, nutraceutical applications and sustainable waste management. Future research should address techno-economic feasibility, regulatory harmonization and large-scale clinical validation to accelerate market translation.

Background/Objectives: Dental age estimation plays a critical role in pediatric dentistry, orthodontics, and forensic medicine. The Nolla method, widely applied globally, has shown variable accuracy across different populations. This study aimed to evaluate the applicability and accuracy of the Nolla method in estimating the dental age of Romanian children and to identify potential discrepancies between dental and chronological ages. Methods: A retrospective analysis was conducted on 860 panoramic radiographs from pediatric patients aged 3–15.9 years in Oradea, Romania. The Nolla method was applied to estimate dental age, and the results were compared with chronological age. Statistical analyses, including Wilcoxon signed-rank and Mann–Whitney U tests, were performed to evaluate the accuracy and consistency of the Nolla method. Results: The study analyzed 860 panoramic radiographs (356 boys and 504 girls). The average chronological age was 9.95 ± 2.48 years, while the average dental age, as estimated using the Nolla method, was 8.43 ± 2.13 years. Dental age was consistently lower than chronological age, with a median difference of 1.5 years (IQR: 0.9–2.2 years). Among the 13 age groups, the highest representation was found in the 8–8.9-year (14.7%) and 9–9.9-year (13.3%) groups. Gender differences were statistically significant (p < 0.001); girls demonstrated a larger median discrepancy of 1.7 years (IQR: 1.1–2.3 years) compared to boys at 1.15 years (IQR: 0.6–1.8 years). Notably, discrepancies increased with age, peaking at 2.6 years in the 14–14.9-year group (4.7% of the sample). The youngest group (3–3.9 years) showed the smallest difference of 0.3 years. Significant differences between chronological and dental ages were observed in 87.5% of the sample. Conclusions: The Nolla method consistently underestimated dental age in Romanian children, with greater discrepancies in older age groups and among girls. These findings highlight the need for the population-specific calibration of the method to improve its accuracy in both clinical and forensic contexts.

Background: Chronic periodontitis is a prevalent inflammatory disease. It goes beyond the oral cavity, exerting systemic immunomodulatory effects through continuous low-grade inflammation, microbial dysbiosis, and cytokine spillover. Accumulating evidence suggests that the immunological consequences of periodontitis may influence systemic immune homeostasis and alter responses to cancer immunotherapies, specifically checkpoint blockade. Objectives: This narrative review describes how periodontal inflammation induces systemic immune reprogramming. It also investigates possible effects on the efficacy of immunotherapy. Methods: The paper synthesizes current findings on molecular and cellular mechanisms linking periodontitis to immune dysfunction. It underscores the mutual signaling pathways NF-κB, STAT3, and PD-1/PD-L1 that connect oral and systemic immunity. Results: Chronic periodontal inflammation reprograms innate and adaptive immune responses. It elevates proinflammatory mediators, such as IL-1β, IL-6, and TNF-α. It alters T-cell polarization and promotes myeloid cell “training”. This process may lead to immune exhaustion, impaired antigen presentation, and treatment resistance. Preclinical and new clinical data suggest that controlling periodontal inflammation may partially reduce systemic inflammatory burden, although clinical evidence in immunotherapy-treated cancer cohorts remains limited. Conclusions: Periodontal health should be considered in the management of immunotherapy. This can facilitate new studies that integrate oral and systemic immunology. Understanding the two-way link between periodontal inflammation and systemic immune reprogramming may offer fresh opportunities for personalized immunomodulation and combined interventions.

Background: Saliva has been identified as a valuable diagnostic biofluid due to its non-invasive collection and its capacity to reflect oral and systemic biological processes. Advances in analytical chemistry, biosensing technologies, and artificial intelligence (AI)-assisted data integration have broadened the applications of salivary diagnostics. Among salivary exposome components, heavy metals such as lead, cadmium, mercury, nickel, chromium, arsenic, and aluminum serve as biologically and clinically relevant indicators of environmental exposure, toxic burden, and disease-associated molecular disorders. Methods: This structured review integrates clinical, experimental, and translational studies published between January 2020 and January 2026 that examined salivary heavy metal profiling in relation to oral health. Evidence was identified using systematic searches of PubMed/MEDLINE and supplementary sources. Studies were qualitatively assessed regarding analytical methodologies, reported concentration ranges, biological mechanisms, disease associations, and the development of digital and AI-assisted diagnostic applications. Results: Thirteen human clinical studies and six animal or in vivo investigations met the inclusion criteria. Across these studies, altered salivary metal profiles were linked to oxidative stress, inflammatory signaling, immune dysregulation, microbiome disturbances, and genotoxic markers relevant to periodontal disease, oral mucosal pathology, and the risk of oral squamous cell carcinoma. Inductively coupled plasma mass spectrometry was the predominant analytical platform, while emerging biosensor technologies showed potential for rapid detection and monitoring. Digital and AI-based approaches were identified as promising tools for integrating metallomic data with clinical and molecular biomarkers to support exposure-informed risk stratification. Conclusions: Salivary heavy metal profiling represents a biologically informative, non-invasive method for exposure-aware risk assessment in oral health. Although current clinical translation is limited by methodological variability, small cohort sizes, and the lack of standardized reference ranges, integration with digital biosensing platforms and explainable AI frameworks might facilitate scalable, precision-oriented salivary diagnostics.

Background/Objectives: Dental neglect represents a preventable form of child maltreatment that may lead to significant oral and systemic health complications. This study primarily aimed to investigate the main oral manifestations and determinants of dental neglect in a pediatric population from Bihor County, Romania. Additionally, it assessed the association between systemic factors, such as nutritional status and psychological conditions, and the severity of oro-dental lesions, with the goal of informing future preventive strategies and public health interventions. Methods: A retrospective analysis was conducted on 333 pediatric patients diagnosed with dental neglect. Clinical data were collected from two centers between 2020 and 2024. Oral health status, socio-demographic characteristics, and psychological conditions were evaluated. Statistical analyses included Fisher’s Exact Test, Mann–Whitney U Test, and Bonferroni-adjusted Z-tests, with significance set at p ≤ 0.05. Results: Among the 333 participants, 52.9% were male, with a mean age of 8.75 ± 3.29 years. Most children (81.7%) resided in rural areas, and 55.6% were first-born. Carious lesions were identified in 100% of cases, with 54.7% showing complications such as endodontic pathology. Poor oral hygiene was reported in 99.1% of children, while 58.6% presented signs of periodontal disease and 37.2% reported spontaneous gingival bleeding. Acute pain was experienced by 40.2% of participants. Nutritional issues were prevalent, with 24.3% classified as obese and 21.6% as malnourished. Significant associations were found between lesion severity and both psychological disorders (p < 0.001) and malnutrition (p < 0.001). Conclusions: This study identifies untreated carious lesions, poor oral hygiene, acute dental pain, and oro-dental trauma as key clinical indicators of pediatric dental neglect, with rural residency and limited education as significant socio-demographic risk factors. The findings highlight the urgent need for integrated, community-based strategies, including school-based screenings, parental education, and referral pathways, to improve early detection and prevention in Romania.

Cytokines are key regulators of immune responses and tissue remodeling, playing a central role in physiological homeostasis and pathological inflammation. Dysregulation of cytokine signaling networks has been implicated in a wide range of diseases, where persistent inflammatory activation leads to progressive tissue destruction and impaired repair mechanisms. In the oral environment, cytokines critically influence the balance between tissue resorption and regeneration, particularly in processes involving dentin and alveolar bone remodeling. Pathological root resorption (PRR) represents a clinically significant model of cytokine-driven tissue destruction, characterized by the loss of dental hard tissues mediated by osteoclast-like cells within a dysregulated inflammatory microenvironment. Although mechanical, infectious, and iatrogenic factors are well-established triggers, they alone do not fully explain the variability in clinical outcomes, suggesting an important role for host-related factors. New research highlights the relationship between inflammatory signaling pathways, genetic susceptibility, and molecular biomarkers in shaping the onset and progression of PRR. In particular, the RANK/RANKL/OPG axis, cytokine networks, and gene polymorphisms have been identified as key determinants of osteoclast activation and resorptive activity. At the same time, advances in salivary and gingival crevicular fluid biomarker research provide new opportunities for early detection and real-time monitoring. Despite these advances, current knowledge remains fragmented, with heterogeneous study designs, inconsistent genetic associations, and a lack of standardized diagnostic protocols, all of which limit clinical translation. Therefore, a comprehensive and integrative synthesis of cytokine-mediated mechanisms in PRR is needed. This review aims to provide an updated and critical overview of cytokine and chemokine involvement in PRR, integrating molecular pathways, genetic determinants, and emerging biomarkers within a unified framework while highlighting translational implications for precision dentistry.