首页|University of Helsinki Reports Findings in Fibromyalgia (Machine learning identi fies fatigue as a key symptom of fibromyalgia reflected in tyrosine,purine,pyr imidine,and glutaminergic metabolism)
University of Helsinki Reports Findings in Fibromyalgia (Machine learning identi fies fatigue as a key symptom of fibromyalgia reflected in tyrosine,purine,pyr imidine,and glutaminergic metabolism)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Musculoskeletal Diseas es and Conditions - Fibromyalgia is the subject of a report.According to news r eporting originating from Helsinki,Finland,by NewsRx correspondents,research stated,"Fibromyalgia patients vary in clinical phenotype and treatment can be c hallenging.The pathophysiology of fibromyalgia is incompletely understood but a ppears to involve metabolic changes at rest or in response to stress." Our news editors obtained a quote from the research from the University of Helsi nki,"We enrolled 54 fibromyalgia patients and 31 healthy controls to this prosp ective study.Symptoms were assessed using the Fibromyalgia Impact Questionnaire (FIQ) and blood samples were collected for metabolomics analysis at baseline and after an oral glucose tolerance test and a cardiopulmonary exercise test.We i dentified key symptoms of fibromyalgia and related them to changes in metabolic pathways with supervised and unsupervised machine learning methods.Algorithms t rained with the FIQ information assigned the fibromyalgia diagnosis in new data with balanced accuracy of 88% while fatigue alone already provided the diagnosis with 86% accuracy.Supervised analyses reduced the metabolomic information from 77 to 13 key markers.With these metabolites,fibro myalgia could be identified in new cases with 79% accuracy.In add ition,5-hydroxyindole-3-acetic acid and glutamine levels correlated with the se verity of fatigue.Patients differed from controls at baseline in tyrosine and p urine pathways,and in the pyrimidine pathway after the stress challenges.Sever al key markers are involved in glutaminergic neurotransmission.This data-driven analysis highlights fatigue as a key symptom of fibromyalgia.Fibromyalgia is a ssociated with metabolic changes which also reflect the degree of fatigue."
HelsinkiFinlandEuropeAmino AcidsAromatic Amino AcidsBiomarkersCyborgsDiagnostics and ScreeningEmerging T echnologiesFibromyalgiaHealth and MedicineMachine LearningMuscular Disea ses and ConditionsMusculoskeletal Diseases and ConditionsNeuromuscular Disea ses and ConditionsRheumatic Diseases and ConditionsTyrosine
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