Role of mental state in temporomandibular disorders: A review of the literature

Florjański, Wojciech; Orzeszek, Sylwia

doi:10.17219/dmp/132978

Cited by 36 publications

(37 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Currently, TMDs are considered multi-etiological disorders. The main risk factors include biological factors such as anatomical morphology, trauma, occlusion, and sex hormones alongside psychological factors such as anxiety and depression [ 5 – 8 ]. Since the etiology and pathogenesis of TMDs have not been fully clarified, more research on risk factors for TMDs is warranted.…”

Section: Introductionmentioning

confidence: 99%

Craniofacial Morphology of Orthodontic Patients with and without Temporomandibular Disorders: A Cross-Sectional Study

Yan

Wan

Xiao

et al. 2022

Pain Research and Management

View full text Add to dashboard Cite

Purpose. We aimed to explore the relationship between temporomandibular disorders (TMDs) and craniofacial morphology in orthodontic patients. Methods. Altogether, 262 orthodontic patients were included and divided into two groups according to their Fonseca Anamnestic Index (FAI) scores: a no-TMD group (control group, FAI < 20) and a TMD group (FAI ≥ 20). Cephalometric parameters including cranial, maxillary, mandibular, and dental parameters were traced on cephalograms. Craniofacial morphology was compared between TMD and control groups, followed by subgroup analyses based on TMD severity, gender, age, and temporomandibular joint (TMJ) symptoms. Results. The prevalence of TMDs was 52.7% among included patients (138/262). The mean age of TMD patients was higher than that of the control group. No significant difference in gender distribution between the groups was observed. The most commonly reported FAI items were misaligned teeth, neck pain, and emotional tension. The Frankfort-mandibular plane angle (FMA) was larger in the TMD patients than in the control group, whereas no significant differences in other parameters were observed. Subgroup analysis based on TMD severity revealed that FMA and anterior facial height of moderate/severe TMD patients were significantly larger than those of mild or no-TMD patients. Among male patients, the anterior cranial base length was smaller, and the anterior facial height was larger in the TMD group. Among female patients, no significant differences in craniofacial morphology between the groups were observed. In juvenile patients, overjet and overbite were smaller in the TMD group. In adult patients, SNA, ANB, FMA, and gonial angle were larger in the TMD group. Within the TMD group, patients with TMJ pain or noises exhibited characteristic craniofacial features compared to patients without these symptoms. Conclusions. Orthodontic patients with TMDs have specific craniofacial morphology, suggesting a relationship between TMDs and particular craniofacial features in orthodontic patients.

show abstract

Section: Introductionmentioning

confidence: 99%

Craniofacial Morphology of Orthodontic Patients with and without Temporomandibular Disorders: A Cross-Sectional Study

Yan

Wan

Xiao

et al. 2022

Pain Research and Management

View full text Add to dashboard Cite

show abstract

“…Unfortunately, the basis for chronic pain is not fully understood, which could hamper the development of the treatments indicated by several reasons. TMD pain is complex with multifactorial experience encompassing sensory discriminative, emotional, and motivational dimensions [ 2 , 4 , 11 , 12 ]. The variety of comorbidities is associated with TMD pain, indicating that a single dimensional treatment is not sufficient to reduce chronic pain.…”

Section: Introductionmentioning

confidence: 99%

Preclinical models of deep craniofacial nociception and temporomandibular disorder pain

Okamoto

Hasegawa

Piriyaprasath

et al. 2021

Japanese Dental Science Review

View full text Add to dashboard Cite

“… 23 A recent review compiled by Florjański and Orzeszek provided substantial evidence supporting the fact that psychological derangements play an inherent role in the development and progression of TMDs. 24 Earlier studies on the CCK showed that it inhibits gonadotropin releasing cell's neuronal activity through CCKRs. Thus, it is clear that a trio of psychological, hormonal, and genetic factors makes a female more vulnerable to G-OA phenotype.…”

Section: Discussionmentioning

confidence: 99%

A Computational Data Mining Strategy to Identify the Common Genetic Markers of Temporomandibular Joint Disorders and Osteoarthritis

Priyadharsini

2022

Glob Med Genet

View full text Add to dashboard Cite

Statement of Problem Prosthodontic planning in patients with temporomandibular joint disorders (TMDs) is a challenge for the clinicians. Purpose A differential biomarker identification could aid in developing methods for early detection and confirmation of TMD from other related conditions. Materials and Methods The present study identified candidate genes with possible association with TMDs. The observational study delineates genes from three datasets retrieved from DisGeNET database. The convergence of datasets identifies potential genes related to TMDs with associated complication such as osteoarthritis. Gene ontology analysis was also performed to identify the potential pathways associated with the genes belonging to each of the datasets. Results The preliminary analysis revealed vascular endothelial growth factor A (VEGFA), interleukin 1 β (IL1B, and estrogen receptor 1 (ESR1) as the common genes associated with all three phenotypes assessed. The gene ontology analysis revealed functional pathways in which the genes of each dataset were clustered. The chemokine and cytokine signaling pathway, gonadotropin-releasing hormone receptor pathway, cholecystokinin receptors (CCKR) signaling, and tumor growth factor (TGF)-β signaling pathway were the pathways most commonly associated with the phenotypes. The genes CCL2, IL6, and IL1B were found to be the common genes across temporomandibular joint (TMJ) and TMJ + osteoarthritis (TMJ-OA) datasets. Conclusion Analysis through computational approach has revealed IL1B as the crucial candidate gene which could have a strong association with bone disorders. Nevertheless, several immunological pathways have also identified numerous genes showing putative association with TMJ and other related diseases. These genes have to be further validated using experimental approaches to acquire clarity on the mechanisms related to the pathogenesis.

show abstract

Role of mental state in temporomandibular disorders: A review of the literature

Cited by 36 publications

References 0 publications

Craniofacial Morphology of Orthodontic Patients with and without Temporomandibular Disorders: A Cross-Sectional Study

Craniofacial Morphology of Orthodontic Patients with and without Temporomandibular Disorders: A Cross-Sectional Study

Preclinical models of deep craniofacial nociception and temporomandibular disorder pain

A Computational Data Mining Strategy to Identify the Common Genetic Markers of Temporomandibular Joint Disorders and Osteoarthritis

Contact Info

Product

Resources

About