1. Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers
- Author
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Edwin R. van den Heuvel, Eduard Antonius Joannes Arnoldussen, Johannes S. Kamphuis, Anna C. Muller Kobold, Robert A. Schoevers, Leandra J M Boonman-de Winter, Erin M van Buel, Paul G.M. Luiten, Lambertus F J Timmers, Hans C. Klein, Mattheus F A Veerman, Dirk van Rumpt, Ulrich L. M. Eisel, Anatoliy V. Gladkevich, Marcus J M Meddens, Fokko J. Bosker, Willem C Bohlmeijer, Johan A. den Boer, Eisel lab, Stochastic Studies and Statistics, Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Stochastic Operations Research, Eindhoven MedTech Innovation Center, and Statistics
- Subjects
Oncology ,Adult ,Male ,medicine.medical_specialty ,Urine ,Major depressive disorder ,Disease cluster ,SDG 3 – Goede gezondheid en welzijn ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Permutation analysis ,Depression (differential diagnoses) ,Depressive Disorder, Major ,Receiver operating characteristic ,business.industry ,Area under the curve ,Middle Aged ,medicine.disease ,Biomarker panel ,Psychiatry and Mental health ,Clinical Psychology ,Urine biomarkers ,ROC Curve ,Area Under Curve ,Case-Control Studies ,Biomarker (medicine) ,ELISA ,Female ,business ,030217 neurology & neurosurgery ,Algorithms ,Biomarkers - Abstract
Major Depressive Disorder (MDD) is a heterogeneous disorder with a considerable symptomatic overlap with other psychiatric and somatic disorders. This study aims at providing evidence for association of a set of serum and urine biomarkers with MDD. We analyzed urine and serum samples of 40 MDD patients and 47 age- and sex-matched controls using 40 potential MDD biomarkers (21 serum biomarkers and 19 urine biomarkers). All participants were of Caucasian origin. We developed an algorithm to combine the heterogeneity at biomarker level. This method enabled the identification of correlating biomarkers based on differences in variation and distribution between groups, combined the outcome of the selected biomarkers, and calculated depression probability scores (the "bio depression score"). Phenotype permutation analysis showed a significant discrimination between MDD and euthymic (control) subjects for biomarkers in urine (P
- Published
- 2019
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