The oral mycobiome plays a critical role in maintaining oral and systemic health, with its composition and function influenced by various physiological and environmental factors. This descriptive review explores the changes in the oral mycobiome among postmenopausal women, examining how aging and associated inflammatory processes contribute to these alterations. These changes are linked to an increased prevalence of xerostomia, oral dysbiosis, and inflammation, which can negatively impact both oral and systemic health. We discuss the impact of hormonal fluctuations and immune senescence on fungal diversity and abundance, highlighting key species implicated in oral and systemic diseases. The review also examines the role of systemic conditions and medications, which are common in postmenopausal women, in further exacerbating oral mycobiome alterations. Lastly, it highlights the need for future research to better understand these interactions and develop targeted therapeutic strategies. The current literature indicates a significant association between menopausal status, age-related mycobiome shifts, and increased inflammatory responses, suggesting potential pathways for intervention.

Background: Oral wound healing in the aging population is a multifaceted issue requiring a comprehensive approach, considering the physiological changes that come with aging and the frequent presence of comorbidities. Methods: This descriptive review summarizes the factors influencing oral wound healing in aging patients, including age-related physiological changes, hormonal modifications, multimorbidities, polypharmacy, oralome alterations, and nutritional status. Results: The aging population encounters numerous challenges in oral wound healing due to intrinsic factors, such as biological aging and hormonal changes, and extrinsic factors, such as medication use and lifestyle. Conclusion: Understanding these factors and their combined impact is essential for effective clinical management and improved outcomes in older adults.

Cervical intraepithelial neoplasia (CIN) is a premalignant cervical condition closely linked to persistent high-risk HPV infection, a major risk factor for cervical cancer. This study aims to investigate the relationship between cervicovaginal infections, HPV infection, and CIN development in 94 Romanian women with cervical lesions. Comprehensive assessments included HPV genotyping, cytology, colposcopy, and histopathology. In 53.20% of cases, vaginal infections were identified, with Candida albicans most frequently associated with HPV. Histopathology revealed 48.94% low-grade CIN, 42.55% high-grade CIN, and 8.51% invasive carcinoma. There was a strong correlation between high-risk HPV types (especially HPV 16 and 18), colposcopic findings, histopathology, and age. This study emphasizes the mutual effect of cervicovaginal infections and HPV infection in increasing the risk of developing CIN and cervical cancer among Romanian women. Persistent infection with high-risk HPV types, particularly HPV 16 and 18, has been confirmed as a primary driver of CIN and cervical cancer progression.

Cleft lip and/or palate are prevalent congenital anomalies. Early and accurate diagnosis allows proper case management. The Objective: This retrospective cohort study aimed to investigate the association between cleft lip and palate and other congenital anomalies. Methods: This study analyzed 17 pregnancies prenatally diagnosed with cleft lip and palate. The investigations consisted of ultrasound examination, fetal karyotyping through amniocentesis, and family tree analysis. In the presence of an abnormal fetal karyotype, the parental karyotype was also indicated. Results: Of the 17 cases identified, 9 (52.94%) were syndromic and 8 (47.06%) were non-syndromic. The genetic syndromes identified in association with cleft lip and palate in this study included translocation syndrome (one case), Patau syndrome, trisomy 13 (seven cases), and Edwards syndrome, mosaic trisomy 18 (one case). Conclusions: A comprehensive approach ensures a thorough assessment and accurate diagnosis. Early detection and a multidisciplinary approach allow appropriate case management.

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.