Genetics of chronic pain states.
ABSTRACT Chronic pain states are common in the general population. Genetic factors can explain a significant amount of the variability in the perception of pain. Fibromyalgia syndrome (FMS) and related conditions are syndromes characterized by generalized pain sensitivity as well as a constellation of other symptoms. Family studies show a strong familial aggregation of FMS and related conditions, suggesting the importance of genetic factors in the development of these conditions. Recent evidence suggests a role for polymorphisms of genes in the serotoninergic, dopaminergic and catecholaminergic systems in the pathogenesis of FMS and related conditions. Environmental factors may trigger the development of these disorders in genetically predisposed individuals. Future large well-designed studies are needed to further clarify the role of genetic factors in FMS and related conditions. The knowledge of these gene polymorphisms may help with better subgrouping of FMS patients and in designing a more specific pharmacologic treatment approach.
SourceAvailable from: Camila Hirotsu[Show abstract] [Hide abstract]
ABSTRACT: Sleep disorders are highly prevalent in patients with fibromyalgia (FM). Many of the daytime symptoms, such as chronic pain and fatigue, may be related to the non-restorative sleep patterns associated with the disease. Pain influences the sleep process and sleep disturbances decrease the pain threshold in a reciprocal framework. Thus, understanding the link between sleep and FM has become an important research topic in basic science. Therefore, in the current review we connect these topics and provide some insights into the cyclic relationship between sleep and pain, which has been addressed mainly in animal models. Additionally, we highlight the urgent need for sleep studies in FM animal models, which might improve the knowledge base and accelerate advances in this field.Current Pain and Headache Reports 08/2014; 18(8):434. DOI:10.1007/s11916-014-0434-3 · 2.26 Impact Factor
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ABSTRACT: Background The chronic pain (CP) and chronic multi-site pain (CMP) condition is a highly prevalent health problem. Several studies have reported a high (31–64%) prevalence of co-morbid restless legs syndrome (RLS) in patients with fibromyalgia, one specifically defined form of chronic widespread pain. The current study explored the association between CMP and RLS.Method The study included 4040 respondents to a postal questionnaire sent to 10,000 women in the age range of 18–64 years and randomly selected from the general population. Complete questionnaire data on type (acute/chronic), degree (mild to severe) and spreading (0–5 body zones) of pain, as well as RLS symptoms (validated questionnaire), were obtained from 3060 subjects. Information on lifestyle, anthropometrics, co-morbidities and medication was collected.ResultsRLS prevalence increased from 9.6% in subjects with no report of pain to 23,9%, 26.4%, 39.2%, 44.9% and 54.8% in those reporting one, two, three, four and five pain areas, respectively (p < 0.001). Further, RLS prevalence increased from 9.6% (no pain) to 27.9%, 37.9% and 42.4% in subjects with mild, moderate and severe chronic pain (p < 0.001). Multi-site pain, pain localized in the leg, extended pain duration and co-morbid psychiatric disorder were all independently associated with a RLS diagnosis in a multiple regression analysis.Conclusion The prevalence of RLS increased progressively with pain severity and even more sharply with the degree of pain spreading in women recruited from the general population. Both acute and chronic pain was associated with RLS-related symptoms.European journal of pain (London, England) 11/2014; 18(10). DOI:10.1002/ejp.504 · 3.37 Impact Factor
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ABSTRACT: Little is known about the association between parental chronic musculoskeletal pain (CMP) and occurrence of CMP in the adult offspring. The main objective of this study was to assess the parent-offspring association of CMP, and also to examine possible modifying effects of age and sex.BMC Public Health 08/2014; 14(1):797. DOI:10.1186/1471-2458-14-797 · 2.32 Impact Factor