| Literature DB >> 30408582 |
Roberto Giacomelli1, Antonella Afeltra2, Alessia Alunno3, Elena Bartoloni-Bocci3, Onorina Berardicurti4, Michele Bombardieri5, Alessandra Bortoluzzi6, Roberto Caporali7, Francesco Caso8, Ricard Cervera9, Maria Sole Chimenti10, Paola Cipriani4, Emmanuel Coloma9, Fabrizio Conti11, Salvatore D'Angelo12, Salvatore De Vita13, Salvatore Di Bartolomeo4, Oliver Distler14, Andrea Doria15, Eugen Feist16, Benjamin A Fisher17, Maria Gerosa18, Michele Gilio12, Giuliana Guggino19, Vasiliki Liakouli4, Domenico Paolo Emanuele Margiotta2, Pierluigi Meroni18, Gianluca Moroncini20, Federico Perosa21, Marcella Prete21, Roberta Priori11, Chiara Rebuffi22, Piero Ruscitti4, Raffaele Scarpa8, Yehuda Shoenfeld23, Monica Todoerti7, Francesco Ursini24, Guido Valesini11, Serena Vettori25, Claudio Vitali26, Athanasios G Tzioufas27.
Abstract
Autoimmune rheumatic diseases are characterised by an abnormal immune system response, complement activation, cytokines dysregulation and inflammation. In last years, despite many progresses in managing these patients, it has been shown that clinical remission is reached in less than 50% of patients and a personalised and tailored therapeutic approach is still lacking resulting in a significant gap between guidelines and real-world practice. In this context, the need for biomarkers facilitating early diagnosis and profiling those individuals at the highest risk for a poor outcome has become of crucial interest. A biomarker generally refers to a measured characteristic which may be used as an indicator of some biological state or condition. Three different types of medical biomarkers has been suggested: i. mechanistic markers; ii. clinical disease markers; iii. therapeutic markers. A combination of biomarkers from these different groups could be used for an ideal more accurate diagnosis and treatment. However, although a growing body of evidence is focused on improving biomarkers, a significant amount of this information is not integrated on standard clinical care. The overarching aim of this work was to clarify the meaning of specific biomarkers during autoimmune diseases; their possible role in confirming diagnosis, predicting outcome and suggesting specific treatments.Entities:
Keywords: Antiphospholipid syndrome; Biomarker; Rheumatoid arthritis; Sjögren syndrome; Spondyloarthritides; Systemic lupus erythematosus; Systemic sclerosis
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Year: 2018 PMID: 30408582 DOI: 10.1016/j.autrev.2018.08.003
Source DB: PubMed Journal: Autoimmun Rev ISSN: 1568-9972 Impact factor: 9.754