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Background: Previous evidence indicates significant association between genetic polymorphisms and phenotypes related to pain sensitivity in patients with temporomandibular disorders (TMD). Despite the important advances in cataloguing diverse factors such as sleep disorders, anxiety and depression, the interrelated mechanisms of painful TMD aetiopathogenesis still need investigation.
Objectives: This case-control study aimed to evaluate the influence of genetic polymorphisms (rs6296, rs6295, rs1799971, rs4680, rs4633, rs4818) and psychosocial factors on the mechanical pain sensitivity and endogenous pain modulation in women with painful TMD and asymptomatic controls.
Methods: We evaluated six independent variables: anxiety levels, depression, stress, sleep quality, pain catastrophising and genetic polymorphisms, and four dependent variables: mechanical pain threshold (MPT), pressure pain threshold (PPT), wind-up ratio (WUR) and conditioned pain modulation (CPM) collected at masseter (trigeminal) and hand (spinal) areas in a sample of 95 painful TMD patients and 85 controls. A regression model was used to test the possible effect of the independent variables on dependent variables.
Results: The regression model was significant for MPT (F = 9.772; R = .390). Painful TMD diagnoses and sleep quality were associated with trigeminal MPT (B coefficient = -.499; and B coefficient = -.211, respectively). WUR was associated with rs6295 and rs6746030, respectively, for the spinal and the trigeminal area.
Conclusion: Genetic polymorphisms had a slight contribution to endogenous pain modulation as indicated by the significant association with WUR but did not contribute to mechanical pain sensitivity. On the other hand, the presence of painful TMD and the sleep quality contributed significantly to mechanical pain sensitivity.
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http://dx.doi.org/10.1111/joor.13384 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
September 2025
Department of Biology, College of Education for Pure Sciences, University of Kerbala, Kerbala, Iraq.
Gastric cancer is one of the causes of deaths related to cancer across the globe and both genetic and environmental factors are the most prominent. Causes of its pathogenesis. This paper researches the expression of the C-FOS gene.
View Article and Find Full Text PDFPlant Dis
September 2025
South Dakota State University, 2380 Research Parkway, 113B Seed Tech, Brookings, Brookings, South Dakota, United States, 57007;
Bacterial leaf streak (BLS), caused by pv. (), has recently emerged as a significant threat to wheat production in the Northern Great Plains region of the US. Deploying resistant cultivars is an economical and practical method of controlling BLS.
View Article and Find Full Text PDFBrief Funct Genomics
January 2025
School of Mathematics and Statistics, Henan University of Science and Technology, No. 263 Kaiyuan Avenue, Luolong District, Luoyang, Henan 471000, China.
Background: Comorbidities and genetic correlations between gastrointestinal tract diseases and psychiatric disorders have been widely reported, but the underlying intrinsic link between Alzheimer's disease (AD) and inflammatory bowel disease (IBD) is not adequately understood.
Methods: To identify pathogenic cell types of AD and IBD and explore their shared genetic architecture, we developed Pathogenic Cell types and shared Genetic Loci (PCGL) framework, which studied AD and IBD and its two subtypes of ulcerative colitis (UC) and Crohn's disease (CD).
Results: We found that monocytes and CD8 T cells were the enriched pathogenic cell types of AD and IBDs, respectively.
J Integr Neurosci
August 2025
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia.
G3 (Bethesda)
September 2025
Department of Biology, Stanford University, Stanford, CA 94305, USA.
The ψ directionality index was introduced by Peter & Slatkin (Evolution 67: 3274-3289, 2013) to infer the direction of range expansions from single-nucleotide polymorphism variation. Computed from the joint site frequency spectrum for two populations, ψ uses shared genetic variants to measure the difference in the amount of genetic drift experienced by the populations, associating excess drift with greater distance from the origin of the range expansion. Although ψ has been successfully applied in natural populations, its statistical properties have not been well understood.
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