Machine learning to understand the immune-inflammatory pathways in fibromyalgia

Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleukin (IL)-6, high sensitivity C-reactive protein (hs-...

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Detalles Bibliográficos
Autores: Andrés Rodríguez, Laura|||0000-0001-5133-9811, Borràs, Xavier|||0000-0003-3972-1385, Feliu-Soler, Albert|||0000-0003-2810-7670, Pérez-Aranda, Adrián|||0000-0002-1602-3413, Rozadilla-Sacanell, Antoni, Arranz, Belén|||0000-0003-3927-8803, Montero-Marín, Jesús|||0000-0001-5677-1662, Garcia-Campayo, Javier|||0000-0002-3797-4218, Angarita-Osorio, Natalia|||0000-0001-8925-2754, Maes, Michael|||0000-0002-2012-871X, Luciano, Juan Vicente|||0000-0003-0750-1599
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:211686
Acceso en línea:https://ddd.uab.cat/record/211686
https://dx.doi.org/urn:doi:10.3390/ijms20174231
Access Level:acceso abierto
Palabra clave:Fibromyalgia
Widespread pain
Cytokines
Inflammation
Neuro-immune
Descripción
Sumario:Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleukin (IL)-6, high sensitivity C-reactive protein (hs-CRP), CXCL-8, and IL-10 in 67 female FM patients and 35 healthy women while adjusting for age, body mass index (BMI), and comorbid disorders. We scored the Fibromyalgia Severity Score, Widespread Pain Index (WPI), Symptom Severity Scale (SSS), Hospital Anxiety (HADS-A), and Depression Scale and the Perceived Stress Scale (PSS-10). Clinical rating scales were significantly higher in FM patients than in controls. After adjusting for covariates, IL-6, IL-10, and CXCL-8 were lower in FM than in HC, whereas hs-CRP did not show any difference. Binary regression analyses showed that the diagnosis FM was associated with lowered IL-10, quality of sleep, aerobic activities, and increased HADS-A and comorbidities. Neural networks showed that WPI was best predicted by quality of sleep, PSS-10, HADS-A, and the cytokines, while SSS was best predicted by PSS-10, HADS-A, and IL-10. Lowered levels of cytokines are associated with FM independently from confounders. Lowered IL-6 and IL-10 signaling may play a role in the pathophysiology of FM.

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