Putative Transcriptomic Biomarkers in the Inflammatory Cytokine Pathway Differentiate Major Depressive Disorder Patients from Control Subjects and Bipolar Disorder Patients - Powell, Timothy R.; McGuffin, Peter; D'Souza, Ursula M.; Cohen-Woods, Sarah; Hosang, Georgina M.; Martin, Charlotte; Matthews, Keith; Day, Richard K.; Farmer, Anne E.; Tansey, Katherine E.; Schalkwyk, Leonard C. (PloS one, 2014)
Keywords: Adult; Aged; Analysis of Variance; Biological markers; Biology; Biomarkers; Bipolar disorder; Bipolar Disorder - diagnosis; Bipolar Disorder - genetics; Bipolar Disorder - metabolism; Case-Control Studies; CCR6 protein; Chemokine CCL24 - genetics; Chemokine CCL24 - metabolism; Chemokines; Clinical decision making; Complementary DNA; Cytokines; Cytokines - genetics; Cytokines - metabolism; Decision making; Deoxyribonucleic acid; Depressive Disorder, Major - diagnosis; Depressive Disorder, Major - genetics; Depressive Disorder, Major - metabolism; Diagnosis, Differential; Diagnostic systems; Disorders; DNA; Drugs; Etiology; Female; Gene expression; Gene Expression Profiling; Genes; Genetic research; Humans; Illnesses; Inflammation; Inflammation Mediators - metabolism; Major depressive disorder; Male; Medical research; Medicine; Mental depression; Middle Aged; Mood; Neurosciences; Patients; Primers; Psychiatry; Psychopathology; Receptors, CCR6 - genetics; Receptors, CCR6 - metabolism; Reliability analysis; Reproducibility of Results; Ribonucleic acid; Risk Factors; RNA; Signal Transduction; Studies; Transcription; Transcription (Genetics); Transcriptome; Tumor necrosis factor-TNF; Variance analysis