Objectives Mutacins are potent virulent factors attributing to the virulence in Streptococcus mutans leading to oro-dental diseases, and oral potentially malignant disorders (OPMDs) are considered a premalignant condition of the oro-mucosal layers in the oral cavity. The purpose of this study was to phenotypically characterize S. mutans from the clinical samples of patients with OPMD and to assess the frequency of mutacin genes in comparison with healthy individuals. Methods Saliva samples (n=60) were collected from three different groups and the samples were incubated at 37°C for 48 hours in Mutans-Sanguis agar. After incubation, the isolates were identified phenotypically for S. mutans and the frequency of mutacin genes and its types were assessed by polymerase chain reaction (PCR). Results S. mutans was found to be more prevalent in the OPMD cases (45%) followed by healthy individuals with caries (15%). Mutacin genes were expressed in all the groups except Group 3 (healthy individuals) without caries. Mutacin I was expressed the highest in Group 1 and Group 2 with 88% and 62.5, respectively, and mutacin III was expressed the least in all groups with 0% expression. Conclusion The findings of the study show the presence of mutacin gene types in the clinical strains of S. mutans in association with OPMD and caries. Further experimental evidence may be required to assess the frequency and to design a novel drug targeting the same.

BACKGROUND: The prevalence of oral human papillomavirus (HPV) in the healthy population and patients with oral diseases such as oral squamous cell carcinoma (OSCC), oral potentially malignant disorders (OPMDs), and oral benign lesions (BL), is not consistently described in the literature, with scarce and often heterogeneous data. In addition, the efficacy of HPV prophylactic vaccines in preventing HPV-related oral disorders has been scarcely investigated.
METHODS: The prevalence of HPV and the potential impact of vaccines were analyzed in 1,415 oral rinse specimens, collected over 10 years and grouped into four categories based on histological/clinical diagnosis.
RESULTS: HPV prevalence in OSCC, OPMD, and BL patients and in healthy individuals potentially exposed to HPV (HPE) was comparable (12.7 vs. 27.2% vs. 13.5 vs. 9%). Statistical analysis of the vaccine impact involved calculating high and low estimates and showed a significant difference only for the low effect. The nonavalent vaccine had higher low estimates than the bivalent vaccine in OSCC and HPE patients (29.6 vs. 51.9%, p < 0.05; 18.2 vs. 42.4%, p < 0.05), while for OPMD and BL, the frequency of bivalent low estimates was lower than that of quadrivalent and nonavalent (48.6 vs. 68.6%, p < 0.05 and 48.6 vs. 77.1%, p < 0.05; 23.9 vs. 50.7%, p < 0.05, and 23.9 vs. 63.4%, p < 0.05).
CONCLUSIONS: This study provided new insights into the prevalence of oral HPV and showed that the nonavalent vaccine may provide better protection than the other vaccines in the presence of an OSCC diagnosis. Conversely, the quadrivalent vaccine may be sufficient to prevent OPMD and BL.

Dentists, especially those who are not oral lesion specialists and live in rural areas, need an artificial intelligence (AI) system for accurately assisting them in screening for oral cancer that may appear in smartphone images. Not many literatures present a viable model that addresses the needs, especially in the context of oral lesion segmentation in smartphone images. This study demonstrates the use of a deep learning-based AI for simultaneously identifying types of oral cancer lesions as well as precisely outlining the boundary of the lesions in the images for the first time. The lesions of interest were oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) lesions. The model could successfully (1) detect if the images contained the oral lesions, (2) determine types of the lesions, and (3) precisely outline the boundary of the lesions. With future success of our project, patients will be diagnosed and treated early before the pre-cancer lesions can progress into deadly cancerous ones.

BACKGROUND: Betel quid and its major ingredient, areca nut, are recognized by IARC as major risk factors in oral cancer development. Areca nut extract (ANE) exposure has been linked to OPMD progression and malignant transformation to OSCC. However, the detailed mechanism through which ANE acts on other cell types in the oral microenvironment to promote oral carcinogenesis remains elusive.
METHODS: Immunoprofiling of macrophages associated with OPMD and OSCC was carried out by immunohistochemical and immunofluorescence staining. Phosphokinase and cytokine arrays and western blotting were performed to determine the underlying mechanisms. Transwell assays were used to evaluate the migration-promoting effect of ANE. Hamster model was finally applied to confirm the in vivo effect of ANE.
RESULTS: We reported that M2 macrophages positively correlated with oral cancer progression. ANE induced M2 macrophage differentiation, CREB phosphorylation and VCAM-1 secretion and increased mitochondrial metabolism. Conditioned medium and VCAM-1 from ANE-treated macrophages promoted migration and mesenchymal phenotypes in oral precancer cells. In vivo studies showed that ANE enhanced M2 polarization and related signaling pathways in the oral buccal tissues of hamsters.
CONCLUSIONS: Our study provides novel mechanisms for areca nut-induced oral carcinogenesis, demonstrating that areca nut promotes M2 macrophage differentiation and secretion of oncogenic cytokines that critically activate malignant transformation of oral premalignant cells.

High levels of vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF)-2 and angiopoietin (ANG)-2 are found in tissues from oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs). As might be expected, VEGF, FGF-2, and ANG-2 overexpression parallels the development of new blood and lymphatic vessels that nourish the growing OPMDs or OSCCs and provide the latter with metastatic routes. Notably, VEGF, FGF-2, and ANG-2 are also linked to the epithelial-to-mesenchymal transition (EMT), a trans-differentiation process that respectively promotes or exasperates the invasiveness of normal and neoplastic oral epithelial cells. Here, we have summarized published work regarding the impact that the interplay among VEGF, FGF-2, ANG-2, vessel generation, and EMT has on oral carcinogenesis. Results from the reviewed studies indicate that VEGF, FGF-2, and ANG-2 spark either protein kinase B (AKT) or mitogen-activated protein kinases (MAPK), two signaling pathways that can promote both EMT and new vessels\' formation in OPMDs and OSCCs. Since EMT and vessel generation are key to the onset and progression of OSCC, as well as to its radio- and chemo-resistance, these data encourage including AKT or MAPK inhibitors and/or antiangiogenic drugs in the treatment of this malignancy.

BACKGROUND: Exercise is widely considered to have beneficial impact on skeletal muscle aging. In addition, there are also several studies demonstrating a positive effect of exercise on muscular dystrophies. Oculopharyngeal muscular dystrophy (OPMD) is a late-onset autosomal dominant inherited neuromuscular disorder caused by mutations in the PAPBN1 gene. These mutations consist in short (1-8) and meiotically stable GCN trinucleotide repeat expansions in its coding region responsible for the formation of PAPBN1 intranuclear aggregates. This study aims to characterize the effects of two types of chronic exercise, resistance and endurance, on the OPMD skeletal muscle phenotype using a relevant murine model of OPMD.
METHODS: In this study, we tested two protocols of exercise. In the first, based on endurance exercise, FvB (wild-type) and A17 (OPMD) mice underwent a 6-week-long motorized treadmill protocol consisting in three sessions per week of running 20 cm/s for 20 min. In the second protocol, based on resistance exercise generated by chronic mechanical overload (OVL), surgical removal of gastrocnemius and soleus muscles was performed, inducing hypertrophy of the plantaris muscle. In both types of exercise, muscles of A17 and FvB mice were compared with those of respective sedentary mice. For all the groups, force measurement, muscle histology, and molecular analyses were conducted.
RESULTS: Following the endurance exercise protocol, we did not observe any major changes in the muscle physiological parameters, but an increase in the number of PABPN1 intranuclear aggregates in both tibialis anterior (+24%, **P = 0.0026) and gastrocnemius (+18%, ****P < 0.0001) as well as enhanced collagen deposition (+20%, **P = 0.0064 in the tibialis anterior; +35%, **P = 0.0042 in the gastrocnemius) in the exercised A17 OPMD mice. In the supraphysiological resistance overload protocol, we also observed an increased collagen deposition (×2, ****P < 0.0001) in the plantaris muscle of A17 OPMD mice which was associated with larger muscle mass (×2, ****P < 0.0001) and fibre cross sectional area (×2, ***P = 0.0007) and increased absolute maximal force (×2, ****P < 0.0001) as well as a reduction in PABPN1 aggregate number (-16%, ****P < 0.0001).
CONCLUSIONS: Running exercise and mechanical overload led to very different outcome in skeletal muscles of A17 mice. Both types of exercise enhanced collagen deposition but while the running protocol increased aggregates, the OVL reduced them. More importantly OVL reversed muscle atrophy and maximal force in the A17 mice. Our study performed in a relevant model gives an indication of the effect of different types of exercise on OPMD muscle which should be further evaluated in humans for future recommendations as a part of the lifestyle of individuals with OPMD.

This manuscript critically examines the current classification of oral potentially malignant disorders, questioning the practicality and implications of labeling such a large population as precancerous, given that the actual progression to oral cancer is significantly low for most disorders. The paper advocates for a revised classification system that accurately reflects the varying malignancy risks associated with different disorders. It suggests a reassessment of the diagnostic and management approaches to mitigate overdiagnosis and alleviate patient burdens. We propose categorizing diseases with oral malignant potential as follows: Oral Precancerous Diseases, encompassing high-risk lesions and conditions like erythroplakia, non-homogeneous leukoplakia, proliferative leukoplakia, and actinic keratosis; Oral Potentially Premalignant Diseases, covering lesions, conditions, and systemic diseases with distinct oral manifestations harboring a limited or undefined risk of transformation, such as homogeneous leukoplakia, oral submucous fibrosis, oral lichenoid diseases, chronic hyperplastic candidosis, keratosis of known aetiology (smokeless tobacco, khat), palatal lesions in reverse smokers, and dyskeratosis congenita; and Systemic Conditions with Oral Malignant Potential including Fanconi\'s anemia, xeroderma pigmentosum, and chronic immunosuppression (including patients post-bone marrow transplantation), which are associated with an increased risk of oral cancer without preceding precursor lesions. We provide illustrative examples to demonstrate how this framework offers practical guidance for research, policy-making, and clinical practice.

Hematopoietic stem cell transplantation is the only curative intervention for myelodysplastic syndrome, with graft-versus-host disease (GVHD) being a frequently encountered consequence. GVHD is classified as acute (aGVHD) or chronic (cGVHD). The oral cavity is the most impacted by chronic. Oral manifestations of cGVHD are variable and include plaque, Wickham striae, and lichenoid patches. In order to prevent malignant misdiagnosis, the 2014 NIH consensus report decided to exclude white plaque as a diagnostic indicator for oral cGVHD. Nevertheless, it is still possible to classify a white plaque lesion as cGVHD through histological confirmation. The performance of a biopsy should be undertaken following meticulous consideration and a thorough evaluation of the associated risks and benefits. The in-depth review of oral cancer risk assessment is crucial, necessitating a careful review of multiple factors to accurately estimate the likelihood of malignant transformation in individuals with oral cGVHD. This report describes a case of oral cGVHD manifesting as hyperkeratotic plaque lesions confirmed by histopathology in a 62-year-old man who received an allogeneic hematopoietic stem cell transplant over a decade ago.

BACKGROUND: The significant malignant transformation rates of oral potentially malignant disorders (OPMDs) demand early diagnosis and proper management of OPMDs not only to reduce symptoms but also to prevent their aggressive outcomes. This retrospective study aimed to quantify the need for patient-related awareness in identifying OPMDs by quantitatively evaluating the association between the type of referral in OPMD cases. This study also aims to analyze the association between gender and types of referral in OPMDs.
METHODS: The sample size of n=1577 (500-leukoplakia, 500-oral submucous fibrosis (OSMF), 500-lichen planus, 77-lichenoid reaction) was considered in the present retrospective study. Data regarding the sample cases were extracted from the common patient database of the Saveetha Dental College and Hospitals from June 2019 to February 2024. Random sampling method was used, and the OPMDs were categorized into two groups based on the chief complaint as self-referred and specialist-referred cases. The segregated data were tabulated in Microsoft Excel (Microsoft® Corp., Redmond, WA) and then exported to IBM SPSS Statistics for Windows, Version 23 (Released 2015; IBM Corp., Armonk, New York, United States) for statistical analysis. Pearson\'s chi-square test was conducted to analyze the association of referral type, OPMDs, and gender.
RESULTS: Out of 1577 OPMD cases, 929 (58.9%) were specialist-referral cases and 648 (41.1%) were self-referral cases. Among OPMDs, lichen planus was the most self-referred 310 (62%) and leukoplakia was the most specialist-referred 470 (78.6%) category. This study found a statistically significant correlation between the type of referrals and the type of OPMDs (p=0.000). Self-referral was more commonly observed in females (23.3%) than males (17.8%) in general and among all categories of OPMDs except lichenoid reactions. This observation was also statistically significant (p=0.000).  Conclusion: Among OPMDs selected in the present study, lichen planus and OSMF were more self-referred and leukoplakia cases were mostly specialist-referred. This study highlights the need of detecting less symptomatic lesions, such as leukoplakia, which has a high risk of malignant transformation. The lack of awareness about the identification of OPMDs among patients can result in delayed diagnosis and treatment, which may further result in progression to aggressive outcomes.

BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to determine the need for active intervention in high-risk patients and routine follow-up in low-risk ones. Machine learning models has shown tremendous potential in several areas of dentistry that strongly suggest its application to estimate rate of malignant transformation of precancerous lesions.
METHODS: A comprehensive literature search was performed on Pubmed/MEDLINE, Web of Science, Scopus, Embase, Cochrane Library database to identify articles including machine learning models and algorithms to predict malignant transformation in OPMDs. Relevant bibliographic data, study characteristics, and outcomes were extracted for eligible studies. Quality of the included studies was assessed through the IJMEDI checklist.
RESULTS: Fifteen articles were found suitable for the review as per the PECOS criteria. Amongst all studies, highest sensitivity (100%) was recorded for U-net architecture, Peaks Random forest model, and Partial least squares discriminant analysis (PLSDA). Highest specificity (100%) was noted for PLSDA. Range of overall accuracy in risk prediction was between 95.4% and 74%.
CONCLUSIONS: Machine learning proved to be a viable tool in risk prediction, demonstrating heightened sensitivity, automation, and improved accuracy for predicting transformation of OPMDs. It presents an effective approach for incorporating multiple variables to monitor the progression of OPMDs and predict their malignant potential. However, its sensitivity to dataset characteristics necessitates the optimization of input parameters to maximize the efficiency of the classifiers.