Classification-Predictive Model Based on Artificial NeuralNetwork Validated by Histopathology and Direct Immunofluorescence for the Diagnosis of Oral Lichen Planus DOI Creative Commons
Katarzyna Osipowicz,

Piotr Turkowski,

Izabela Zdolińska-Malinowska

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(14), P. 1525 - 1525

Published: July 15, 2024

The diagnosis of oral lichen planus (OLP) poses many challenges due to its nonspecific clinical symptoms and histopathological features. Therefore, the diagnostic process should include a thorough history, immunological tests, histopathology. Our study aimed enhance accuracy OLP by integrating direct immunofluorescence (DIF) results with data develop multivariate predictive model based on Artificial Neural Network. Eighty patients were assessed using DIF for various markers (immunoglobulins classes G, A, M; complement 3; fibrinogen type 1 2) characteristics such as age, gender, lesion location. Statistical analysis was performed machine learning techniques in Statistica 13. following variables assessed: age day onset, immunofluorescence, location white patches, locations erosions, treatment medications dietary supplement intake, dental status, smoking flossing, mouthwash. Four statistically significant selected after initial assessment. final model, neural networks, achieved 85% testing sample 71% validation sample. Significant predictors included stress at patches under tongue, erosions mandibular gingiva. In conclusion, while shows promise, larger datasets more comprehensive are needed improve OLP, highlighting need further research collaborative collection efforts.

Language: Английский

Multi-omics analysis reveals the effects of microbiota on oral homeostasis DOI Creative Commons

Huiqing Long,

Yan Li, Juncai Pu

et al.

Frontiers in Immunology, Journal Year: 2022, Volume and Issue: 13

Published: Sept. 20, 2022

The oral epithelium’s normal morphological structure and function play an important role in maintaining homeostasis, among which microbiota chronic stress are key contributing factors. However, the effects of on structures molecular homeostasis remain unclear. In this study, staining was used to compare tongue specific pathogen-free germ-free mice, integrated multi-omics analysis based transcriptomics, proteomics, metabolomics performed investigate regulatory mechanisms homeostasis. We found that mice disordered compared with especially epithelium. Multi-omics indicated differentially expressed molecules between were significantly enriched mitochondrial metabolic process immune response. Interestingly, also influenced permeability epithelial barrier, represented by differential expression keratinization, cell adhesion molecules. It worth noting above changes more significant after stress. Collectively, is first study reveal might maintain reshaping barrier changing biology, a may be driven response tissue. Furthermore, can enhance

Language: Английский

Citations

9

Neuroticism and Psychological Stress in Patients Suffering Oral Lichen Planus: Research Evidence of Psycho-Stomatology? DOI Open Access
Luis Alberto Gaitán Cepeda, Diana Ivette Rivera-Reza, María del Carmen Villanueva‐Vilchis

et al.

Healthcare, Journal Year: 2023, Volume and Issue: 11(12), P. 1738 - 1738

Published: June 13, 2023

Psychosocial factors influence the development, exacerbation, or aggravation of some oral diseases. However, possible relationship between personality traits, affective disorders, and psychological stress in diseases, their impact on health-related quality life (OHRQoL), has not been fully clarified. The aim present study was to determine association neuroticism with presence lichen planus (OLP), discover whether these OHRQoL. This is a case-control matched for age sex. case group (OLP group) composed 20 patients diagnosed OLP, while people diagnosis lesions associated formed control group. Three instruments were used: Holmes–Rahe Social Readjustment Scale, Five Factor Personality Model, OHIP-49. Neuroticism obtained score 25.5 (±5.4) OLP group, which higher than value (21.7) (±5.1) (p = 0.03). showed worse < 0.05); most affected dimensions discomfort physical disability. It important include profile establish comprehensive treatment patients. We propose recognition new area clinical medicine: psycho-stomatology.

Language: Английский

Citations

4

Crossroads between Skin and Endocrine Glands: The Interplay of Lichen Planus with Thyroid Anomalies DOI Creative Commons
Andreea-Maria Radu, Mara Carşote, Claudiu Nistor

et al.

Biomedicines, Journal Year: 2023, Volume and Issue: 12(1), P. 77 - 77

Published: Dec. 28, 2023

In this narrative review, we aimed to overview the interplay between lichen planus (LP) and thyroid conditions (TCs) from a dual perspective (dermatologic endocrine), since current gap in understanding LP-TC connections is found so far topic still matter of debate. We searched PubMed Inception October 2023 by using key terms “lichen planus” “thyroid”, (alternatively, “endocrine” or “hormone”). included original clinical studies humans according three sections: LP TC dysfunction, autoimmunity, neoplasia. Six confirmed an association dysfunction (exclusively hypothyroidism) LP/OL (oral LP); note, only one study addressed cutaneous LP. The sample size LP/OLP groups varied 12–14 1500 individuals. Hypothyroidism prevalence OLP was 30–50%. A higher rate levothyroxine replacement identified among patients, at 10% versus 2.5% controls. highest OR (odd ratio) treated hypothyroidism amid 2.99 (p < 0.005). be associated with milder phenotype two studies. single cohort revealed similar non-LP. Non-confirmatory (only on OLP, not LP) five cohorts: controls, showed that subjects actually had lower controls (1% 4%). Positive autoimmunity eight studies; cohorts varied, for instance, 619 persons 76, 92, 105, 108, 192, 247, 585 patients (a total 1405) respectively; notably, largest control group 10,441 Four clusters approaches respect were found: analysis HT/ATD (Hashimoto’s thyroiditis/autoimmune diseases) prevalence; considerations over specific antibody levels; sex-related features females are more prone autoimmunity; associations (if any) aspects LP/OLP. HT statistically significantly higher, as follows: 19% 5%; 12% 6%; 20% 9.8%. addressing ATDs. One did confirm correlation OLP-associated elements (and severity) values against thyroid, another positive TPOAb (anti-thyroperoxidase antibodies) often erosive than non-erosive (68% 33%). Just reverse, (9% 15%). Five case-control issue prior diagnosed (no identified); them treatment (at 8.9%, 9.7%, 10.6%) conclusion, regard LP/OLP-TC, note several main practical points multidisciplinary practitioners: rather requires awareness; when it comes type mostly, should expected; female ATDs; potential ratio taking found, thus good collaboration endocrinology team mandatory; far, individuals have been risk nodules/cancer.

Language: Английский

Citations

4

Impact of exosomes in oral lichen planus: A review with insights into pathogenesis and biomarkers DOI Creative Commons
Ram Mohan Ram Kumar, Suresh Joghee,

Mahesh KP

et al.

Journal of Dental Sciences, Journal Year: 2024, Volume and Issue: 19(3), P. 1320 - 1327

Published: May 18, 2024

Oral Lichen Planus (OLP) presents a significant challenge in diagnosis due to its varied clinical manifestations and the absence of specific biomarkers. Timely accurate is crucial, particularly given association with oral squamous cell carcinoma (OSCC). This review aims explore potential role exosomes, small extracellular vesicles, pathogenesis OLP their utility as diagnostic Exosomes facilitate exchange information between cells modulate immune responses by carrying various bioactive molecules such proteins, lipids, nucleic acids. In context OLP, exosomes derived from affected tissues or are thought contribute disease progression mediating transfer pro-inflammatory molecules, including cytokines like interleukin-6 tumour necrosis factor-alpha chemokines CCL2, CCL5 microRNAs miR-155, miR-146a, miR-21, miR-34a, etc. Additionally, distinct molecular contents lesions may accurately represent pathological changes occurring these tissues. suggests be used non-invasive biomarkers for diagnosing tracking disease. Understanding microenvironment within this critical advancing our knowledge identifying new therapeutic strategies. However, challenges remain characterising translation. Further research warranted address fully exploit exosomes' other inflammatory diseases.

Language: Английский

Citations

1

Classification-Predictive Model Based on Artificial NeuralNetwork Validated by Histopathology and Direct Immunofluorescence for the Diagnosis of Oral Lichen Planus DOI Creative Commons
Katarzyna Osipowicz,

Piotr Turkowski,

Izabela Zdolińska-Malinowska

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(14), P. 1525 - 1525

Published: July 15, 2024

The diagnosis of oral lichen planus (OLP) poses many challenges due to its nonspecific clinical symptoms and histopathological features. Therefore, the diagnostic process should include a thorough history, immunological tests, histopathology. Our study aimed enhance accuracy OLP by integrating direct immunofluorescence (DIF) results with data develop multivariate predictive model based on Artificial Neural Network. Eighty patients were assessed using DIF for various markers (immunoglobulins classes G, A, M; complement 3; fibrinogen type 1 2) characteristics such as age, gender, lesion location. Statistical analysis was performed machine learning techniques in Statistica 13. following variables assessed: age day onset, immunofluorescence, location white patches, locations erosions, treatment medications dietary supplement intake, dental status, smoking flossing, mouthwash. Four statistically significant selected after initial assessment. final model, neural networks, achieved 85% testing sample 71% validation sample. Significant predictors included stress at patches under tongue, erosions mandibular gingiva. In conclusion, while shows promise, larger datasets more comprehensive are needed improve OLP, highlighting need further research collaborative collection efforts.

Language: Английский

Citations

1