Innovative biomarkers in psychiatric disorders: a major clinical challenge in psychiatry

Madia Lozupone, Davide Seripa, Eleonora Stella, Maddalena La Montagna, Vincenzo Solfrizzi, Nicola Quaranta, Federica Veneziani, Alberto Cester, Rodolfo Sardone, Caterina Bonfiglio, Gianluigi Giannelli, Paola Bisceglia, Roberto Bringiotti, Antonio Daniele, Antonio Greco, Antonello Bellomo, Giancarlo Logroscino, Francesco Panza

Research output: Contribution to journalArticlepeer-review


INTRODUCTION: Currently, the diagnosis of psychiatric illnesses is based upon DSM-5 criteria. Although endophenotype-specificity for a particular disorder is discussed, the identification of objective biomarkers is ongoing for aiding diagnosis, prognosis, or clinical response to treatment. We need to improve the understanding of the biological abnormalities in psychiatric illnesses across conventional diagnostic boundaries. The present review investigates the innovative post-genomic knowledge used for psychiatric illness diagnostics and treatment response, with a particular focus on proteomics. Areas covered: This review underlines the contribution that psychiatric innovative biomarkers have reached in relation to diagnosis and theragnosis of psychiatric illnesses. Furthermore, it encompasses a reliable representation of their involvement in disease through proteomics, metabolomics/pharmacometabolomics and lipidomics techniques, including the possible role that gut microbiota and CYP2D6 polimorphisms may play in psychiatric illnesses. Expert opinion: Etiologic heterogeneity, variable expressivity, and epigenetics may impact clinical manifestations, making it difficult for a single measurement to be pathognomonic for multifaceted psychiatric disorders. Academic, industry, or government's partnerships may successfully identify and validate new biomarkers so that unfailing clinical tests can be developed. Proteomics, metabolomics, and lipidomics techniques are considered to be helpful tools beyond neuroimaging and neuropsychology for the phenotypic characterization of brain diseases.

Original languageEnglish
Pages (from-to)809-824
Number of pages16
JournalExpert Review of Proteomics
Publication statusE-pub ahead of print - Sep 11 2017


  • Journal Article


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