| 000 | 03885nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-59028-3 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112243.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240530s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031590283 _9978-3-031-59028-3 |
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| 024 | 7 |
_a10.1007/978-3-031-59028-3 _2doi |
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| 050 | 4 | _aQH324.2-324.25 | |
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| 100 | 1 |
_aBorges Coutinho Gallo, Margareth. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _977833 |
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| 245 | 1 | 0 |
_aSeeking Molecular Biomarkers for Schizophrenia Using ROC Analysis _h[electronic resource] / _cby Margareth Borges Coutinho Gallo. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXV, 250 p. 96 illus., 95 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _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. | |
| 520 | _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. | ||
| 650 | 0 |
_aBioinformatics. _964050 |
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| 650 | 0 |
_aMedicine _xResearch. _962598 |
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| 650 | 0 |
_aBiology _xResearch. _965629 |
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| 650 | 0 |
_aPsychiatry. _970761 |
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| 650 | 1 | 4 |
_aComputational and Systems Biology. _965974 |
| 650 | 2 | 4 |
_aBiomedical Research. _965633 |
| 650 | 2 | 4 |
_aPsychiatry. _970761 |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783031590276 |
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_iPrinted edition: _z9783031590290 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031595851 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-59028-3 |
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| 912 | _aZDB-2-SXB | ||
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