Maria Cristina Petralia is studying an MSc in Psychology, Researcher at the Department of Clinical and Experimental Medicine, University of Messina. Her primary area of research focuses on the field of Clinical Psychology and Health, with particular interest in psychoneuroimmunoendocrinogy and the study of the mutual relationships between cognitive and emotional symptoms of depression, personality and biological correlates in several pathologies including metabolic syndrome, type 2 diabetes, psoriasis, and neurodegenerative diseases. In particular, Maria Cristina Petralia has focused her experimental research on the role of pro-inflammatory cytokines in general, and of the Macrophage Migration inhibitory factor in particular, in the pathogenesis of neurological and neuropsychiatric disorders such as postpartum depression, autism, alcohol abuse disorder, migraine, multiple sclerosis, as well as in certain cancer phenotypes such as uveal melanoma and glioblastoma. These studies have also been conducted by using computational models such as GWAS and DNA microarray that allow us to gain insights into the pathogenetic mechanisms of the diseases and predict tailored therapeutic approaches.
Maria Cristina Petralia is studying an MSc in Psychology, Researcher at the Department of Clinical and Experimental Medicine, University of Messina. Her primary area of research focuses on the field of Clinical Psychology and Health, with particular interest in psychoneuroimmunoendocrinogy and the study of the mutual relationships between cognitive and emotional symptoms of depression, personality and biological correlates in several pathologies including metabolic syndrome, type 2 diabetes, psoriasis, and neurodegenerative diseases. In particular, Maria Cristina Petralia has focused her experimental research on the role of pro-inflammatory cytokines in general, and of the Macrophage Migration inhibitory factor in particular, in the pathogenesis of neurological and neuropsychiatric disorders such as postpartum depression, autism, alcohol abuse disorder, migraine, multiple sclerosis, as well as in certain cancer phenotypes such as uveal melanoma and glioblastoma. These studies have also been conducted by using computational models such as GWAS and DNA microarray that allow us to gain insights into the pathogenetic mechanisms of the diseases and predict tailored therapeutic approaches.