03480nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001900153072001500172072001500187072002300202072001600225100009500241245013200336250001800468264006900486300006400555336002600619337002600645338003600671347002400707505046800731520144601199650002002645650002402665650002302689650001602712650003902728650002502767650001602792710003402808773002602842776003602868776003602904776003602940856004602976978-3-031-59028-3DE-He21320251030112243.0cr nn 008mamaa240530s2024 sz | s |||| 0|eng d a97830315902837 a10.1007/978-3-031-59028-32doi 4aQH324.2-324.25 7aPS2bicssc 7aUY2bicssc 7aSCI0080002bisacsh 7aPSAX2thema1 aBorges Coutinho Gallo, Margareth.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aSeeking Molecular Biomarkers for Schizophrenia Using ROC Analysish[electronic resource] /cby Margareth Borges Coutinho Gallo. a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024. aXV, 250 p. 96 illus., 95 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda0 aPreface -- Hypotheses of the Pathophysiology of Schizophrenia Spectrum Disorders -- Biomarkers -- Biomarkers Related to the Hypotheses of the Pathophysiology of SSD -- Immunoinflammatory and Oxidative-Stress Related Biomarkers -- Gut Microbiota-Brain Axis and Related Biomarkers -- Neuroendocrine Biomarkers -- Neurotrophic Biomarkers -- Neurotransmitter Biomarkers -- Conclusions -- Step-by-Step Guide to Building a Diagnostic Model Using MetaboAnalyst -- Index. aSchizophrenia Spectrum Disorders (SSD) manifest multidimensionally, presenting a syndromic nature with several symptomatic domains. These are driven by dynamic systemic biological changes that unfold over the course of the disease. Thus far, the diagnosis is solely based on symptoms, which may be rather subjective, moving research toward the search for SSD biomarkers. This book presents a summary of the main hypotheses that have evolved over time to explain the pathophysiology of SSD and that have driven the discovery of associated biomarkers: neurotrophic, neurotransmitter, neuroendocrine, immune-inflammatory, nitrosative/oxidative stress, metabolic, and gut microbiota-brain axis. The book shows the most relevant research carried out in the last twelve years to develop predictive, diagnostic, theranostic or transdiagnostic models based on these biomarkers using the receiver operating characteristic curve (ROC) analysis. Chapters also discuss how the literature has addressed the development and/or addition of new discriminatory biomarkers to achieve robust and successful results. The book is rounded out with a step-by-step explanation on how to work on the MetaboAnalyst platform, including the meaning of the chosen statistics and how to interpret them in the results obtained. This book is a useful resource for students and scientists involved in the discovery of biomarkers for psychiatric disorders and other diseases. 0aBioinformatics. 0aMedicinexResearch. 0aBiologyxResearch. 0aPsychiatry.14aComputational and Systems Biology.24aBiomedical Research.24aPsychiatry.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303159027608iPrinted edition:z978303159029008iPrinted edition:z978303159585140uhttps://doi.org/10.1007/978-3-031-59028-3