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. 2024 Nov;51(11):2445-2451.
doi: 10.1111/joor.13834. Epub 2024 Aug 27.

Genetic susceptibility to temporomandibular joint involvement in juvenile idiopathic arthritis

P Niibo  1 , T Nikopensius  2 , T Jagomägi  1 , Ü Voog  1   3 , T Haller  2 , N Tõnisson  2   4 , A Metspalu  2 , M Saag  1 , C Pruunsild  5   6
Affiliations

Genetic susceptibility to temporomandibular joint involvement in juvenile idiopathic arthritis

P Niibo et al. J Oral Rehabil. 2024 Nov.

Abstract

Background: Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic condition of childhood. Temporomandibular joint (TMJ) is among the most commonly affected joints in JIA patients. When JIA involves the TMJ, it may affect condylar growth in the joint; therefore, JIA patients are at risk of unfavourable long-term outcomes from associated joint damage. If undetected, TMJ involvement can lead to various functional disabilities such as reduced mandibular mobility and disorders of the mastication muscles. Limitations in sagittal and vertical mandibular growth can result in micrognathia and anterior open bite with aesthetic and functional restrictions.

Objective: Genetic factors may play a role in determining which individuals are more prone to develop TMJ disorders or in predicting the severity of the disease process. Therefore, we applied a GWAS approach to identify loci associated with TMJ involvement in a sample of Estonian patients with JIA. Our aim was to address the potential role of genetic susceptibility factors in TMJ-JIA, a condition not previously studied in this context.

Methods: The case group consisted of 55 JIA patients with TMJ involvement and 208 patients without TMJ involvement comprised the control group. The entire cohort was genotyped using the Illumina HumanOmniExpress BeadChip arrays. Imputation was performed using a nationwide reference panel obtained of 2240 individuals whose data were obtained from the Estonian Biobank.

Results: We identified six loci as being associated with the risk of TMJ-JIA in Estonian JIA patients. The strongest associations were identified at CD6 rs3019551 (P = 3.80 × 10-6), SLC26A8/MAPK14 rs9470191 (P = 6.15 × 10-6), NLRP3 rs2056795 (P = 8.91 × 10-6) and MAP2K4 rs7225328 (P = 1.64 × 10-5).

Conclusion: This study provides first insights into the risk-associated loci between JIA and its manifestation in the TMJ. The reported loci are involved in molecular pathways of immunological relevance and likely represent genomic regions that render the TMJ susceptible to involvement by JIA in Estonian patients.

Keywords: craniofacial growth disturbances; genome‐wide association study; juvenile idiopathic arthritis; rheumatoid arthritis; temporomandibular joint.

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References

REFERENCES

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