TY - JOUR
T1 - Innovative biomarkers in psychiatric disorders: a major clinical challenge in psychiatry
AU - Lozupone, Madia
AU - Seripa, Davide
AU - Stella, Eleonora
AU - La Montagna, Maddalena
AU - Solfrizzi, Vincenzo
AU - Quaranta, Nicola
AU - Quaranta, Nicola Antonio Adolfo
AU - Veneziani, Federica
AU - Cester, Alberto
AU - Sardone, Rodolfo
AU - Bonfiglio, Caterina
AU - Giannelli, Gianluigi
AU - Bisceglia, Paola
AU - Bringiotti, Roberto
AU - Daniele, Antonio
AU - Greco, Antonio
AU - Bellomo, Antonello
AU - Logroscino, Giancarlo
AU - Panza, Francesco
PY - 2017
Y1 - 2017
N2 - 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 governmentâs 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.
AB - 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 governmentâs 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.
KW - Biochemistry
KW - Molecular Biology
KW - Post-genomics diagnostics
KW - lifestyle
KW - lipidomics
KW - microbiota
KW - proteomics techniques
KW - Biochemistry
KW - Molecular Biology
KW - Post-genomics diagnostics
KW - lifestyle
KW - lipidomics
KW - microbiota
KW - proteomics techniques
UR - http://hdl.handle.net/10807/110512
U2 - 10.1080/14789450.2017.1375857
DO - 10.1080/14789450.2017.1375857
M3 - Article
SN - 1478-9450
VL - 14
SP - 809
EP - 824
JO - Expert Review of Proteomics
JF - Expert Review of Proteomics
ER -