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1.
Semin Orthod ; 14(2): 146-156, 2008 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-18663384

RESUMO

Traditionally, four groups of factors have been identified in the etiology of temporomandibular disorder (TMD): anatomical variation in the masticatory system; psychosocial characteristics; pain in other body regions; and demographics. Orthodontic treatment has been variously cited both as a protective and harmful factor in TMD etiology. Recently, a search has begun for a genetic influence on TMD etiology. Genetic markers can be of additional value in identifying gene-environment interactions, that is, isolating population sub-groups, defined by genotype in which environmental influences play a relatively greater or lesser etiological role. This paper reviews concepts and study design requirements for epidemiological investigations into TMD etiology. Findings are presented from a prospective cohort study of 186 females that illustrate an example of gene-environment interaction in TMD onset. Among people with a variant of the gene encoding catechol-O-methyl-transferase, an enzyme associated with pain responsiveness, risk of developing TMD was significantly greater for subjects who reported a history of orthodontic treatment compared with subjects who did not (P=0.04). While further studies are needed to investigate TMD etiology, this genetic variant potentially could help to identify patients whose risk of developing TMD is heightened following orthodontic treatment, hence serving as a risk marker useful in planning orthodontic care.

2.
Pain Manag ; 8(4): 259-261, 2018 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-29869557

RESUMO

Luda Diatchenko, MD, PhD is a Canada Excellence Research Chair in Human Pain Genetics, Professor, Faculty of Medicine, Department of Anesthesia and Faculty of Dentistry at McGill University, Alan Edwards Centre for Research on Pain. She earned her MD and PhD in the field of molecular biology from the Russian State Medical University. She started her career in industry, she was a Leader of the RNA Expression Group at Clontech, Inc., and subsequently, Director of Gene Discovery at Attagene, Inc. During this time, she was actively involved in the development of several widely used and widely cited molecular tools for the analysis of gene expression and regulation. Her academic career started at 2000 in the Center for Neurosensory Disorders at University of North Carolina. Her research since then is focused on determining the cellular and molecular biological mechanisms by which functional genetic variations impact human pain perception and risk of development of chronic pain conditions, enabling new approaches to identify new drug targets, treatment responses to analgesics and diagnostic. Multiple collaborative activities allow the Diatchenko group to take basic genetic findings all the way from human association studies, through molecular and cellular mechanisms to animal models and ultimately to human clinical trials. In total, she has authored or co-authored over 120 peer-reviewed research papers in journals, ten book chapters and edited a book in human pain genetics. She is a member and an active officer of several national and international scientific societies, including the International Association for the Study of Pain and the American Pain Society.


Assuntos
Dor Crônica/genética , Bases de Dados Genéticas , Medicina de Precisão , Transcriptoma/genética , História do Século XX , História do Século XXI , Humanos
3.
Pain ; 157(6): 1266-1278, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-26928952

RESUMO

The classification of most chronic pain disorders gives emphasis to anatomical location of the pain to distinguish one disorder from the other (eg, back pain vs temporomandibular disorder [TMD]) or to define subtypes (eg, TMD myalgia vs arthralgia). However, anatomical criteria overlook etiology, potentially hampering treatment decisions. This study identified clusters of individuals using a comprehensive array of biopsychosocial measures. Data were collected from a case-control study of 1031 chronic TMD cases and 3247 TMD-free controls. Three subgroups were identified using supervised cluster analysis (referred to as the adaptive, pain-sensitive, and global symptoms clusters). Compared with the adaptive cluster, participants in the pain-sensitive cluster showed heightened sensitivity to experimental pain, and participants in the global symptoms cluster showed both greater pain sensitivity and greater psychological distress. Cluster membership was strongly associated with chronic TMD: 91.5% of TMD cases belonged to the pain-sensitive and global symptoms clusters, whereas 41.2% of controls belonged to the adaptive cluster. Temporomandibular disorder cases in the pain-sensitive and global symptoms clusters also showed greater pain intensity, jaw functional limitation, and more comorbid pain conditions. Similar results were obtained when the same methodology was applied to a smaller case-control study consisting of 199 chronic TMD cases and 201 TMD-free controls. During a median 3-year follow-up period of TMD-free individuals, participants in the global symptoms cluster had greater risk of developing first-onset TMD (hazard ratio = 2.8) compared with participants in the other 2 clusters. Cross-cohort predictive modeling was used to demonstrate the reliability of the clusters.


Assuntos
Dor Crônica/classificação , Estresse Psicológico/classificação , Transtornos da Articulação Temporomandibular/classificação , Adolescente , Adulto , Estudos de Casos e Controles , Análise por Conglomerados , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Adulto Jovem
4.
J Pain ; 14(12 Suppl): T33-50, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-24275222

RESUMO

UNLABELLED: Case-control studies have documented clinical manifestations of chronic temporomandibular disorder (TMD), whereas clinical predictors of TMD development are largely unknown. We evaluated 41 clinical orofacial characteristics thought to predict first-onset TMD in a prospective cohort study of U.S. adults aged 18 to 44 years. During the median 2.8-year follow-up period, 2,737 people completed quarterly screening questionnaires. Those reporting symptoms were examined and 260 people were identified with first-onset TMD. Univariate and multivariable Cox regression models quantified associations between baseline clinical orofacial measures and TMD incidence. Significant predictors from baseline self-report instruments included oral parafunctions, prior facial pain and its life-impact, temporomandibular joint noises and jaw locking, and nonspecific orofacial symptoms. Significant predictors from the baseline clinical examination were pain on jaw opening and pain from palpation of masticatory, neck, and body muscles. Examiner assessments of temporomandibular joint noise and tooth wear facets did not predict incidence. In multivariable analysis, nonspecific orofacial symptoms, pain from jaw opening, and oral parafunctions predicted TMD incidence. The results indicate that only a few orofacial examination findings influenced TMD incidence, and only to a modest degree. More pronounced influences were found for self-reported symptoms, particularly those that appeared to reflect alterations to systems beyond the masticatory tissues. PERSPECTIVE: OPPERA's prospective cohort study identifies predictors of first-onset TMD comprising self-reported orofacial symptoms and examination findings. The results suggest a complex pattern of TMD etiology that is influenced by disorders locally, in masticatory tissues, and systemically, in pain-regulatory systems.


Assuntos
Dor Facial/diagnóstico , Transtornos da Articulação Temporomandibular/diagnóstico , Adolescente , Adulto , Fatores Etários , Dor Facial/epidemiologia , Feminino , Humanos , Incidência , Masculino , Medição da Dor , Estudos Prospectivos , Fatores de Risco , Autorrelato , Transtornos da Articulação Temporomandibular/epidemiologia
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