Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers

Erin M. van Buel, Marcus J.M. Meddens, Eduard A. Arnoldussen, Edwin R. van den Heuvel, Willem C. Bohlmeijer, Johan A. den Boer, Anna Muller Kobold, Leandra J.M. Boonman-de Winter, Dirk van Rumpt, Lambertus F.J. Timmers, Mattheus F.A. Veerman, Johannes S. Kamphuis, Anatoliy V. Gladkevich, Robert A. Schoevers (Corresponding author), Paul G.M. Luiten, Ulrich L.M. Eisel, Fokko J. Bosker, Hans C. Klein

Research output: Contribution to journalArticleAcademicpeer-review

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 <.001), in serum (P =.02) and in the combined serum plus urine result (P <.001). Based on this algorithm, a combination of 8 urine biomarkers and 9 serum biomarkers were identified to correlate with MDD, enabling an area under the curve (AUC) of 0.955 in a Receiver Operating Characteristic (ROC) analysis. Selection of either urine biomarkers or serum biomarkers resulted in AUC values of 0.907 and 0.853, respectively. Internal cross-validation (5-fold) confirmed the association of this set of biomarkers with MDD.

LanguageEnglish
Article number109796
Number of pages8
JournalJournal of Psychosomatic Research
Volume125
DOIs
StatePublished - 1 Oct 2019

Fingerprint

Major Depressive Disorder
Biomarkers
Urine
Serum
Area Under Curve
Depression
ROC Curve
Psychiatry

Keywords

  • Biomarker panel
  • Biomarkers
  • ELISA
  • Major depressive disorder
  • Permutation analysis
  • Urine

Cite this

van Buel, E. M., Meddens, M. J. M., Arnoldussen, E. A., van den Heuvel, E. R., Bohlmeijer, W. C., den Boer, J. A., ... Klein, H. C. (2019). Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers. Journal of Psychosomatic Research, 125, [109796]. DOI: 10.1016/j.jpsychores.2019.109796
van Buel, Erin M. ; Meddens, Marcus J.M. ; Arnoldussen, Eduard A. ; van den Heuvel, Edwin R. ; Bohlmeijer, Willem C. ; den Boer, Johan A. ; Muller Kobold, Anna ; Boonman-de Winter, Leandra J.M. ; van Rumpt, Dirk ; Timmers, Lambertus F.J. ; Veerman, Mattheus F.A. ; Kamphuis, Johannes S. ; Gladkevich, Anatoliy V. ; Schoevers, Robert A. ; Luiten, Paul G.M. ; Eisel, Ulrich L.M. ; Bosker, Fokko J. ; Klein, Hans C./ Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers. In: Journal of Psychosomatic Research. 2019 ; Vol. 125.
@article{4cc7829115e74aada4b5af5c1888a139,
title = "Major depressive disorder is associated with changes in a cluster of serum and urine 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 <.001), in serum (P =.02) and in the combined serum plus urine result (P <.001). Based on this algorithm, a combination of 8 urine biomarkers and 9 serum biomarkers were identified to correlate with MDD, enabling an area under the curve (AUC) of 0.955 in a Receiver Operating Characteristic (ROC) analysis. Selection of either urine biomarkers or serum biomarkers resulted in AUC values of 0.907 and 0.853, respectively. Internal cross-validation (5-fold) confirmed the association of this set of biomarkers with MDD.",
keywords = "Biomarker panel, Biomarkers, ELISA, Major depressive disorder, Permutation analysis, Urine",
author = "{van Buel}, {Erin M.} and Meddens, {Marcus J.M.} and Arnoldussen, {Eduard A.} and {van den Heuvel}, {Edwin R.} and Bohlmeijer, {Willem C.} and {den Boer}, {Johan A.} and {Muller Kobold}, Anna and {Boonman-de Winter}, {Leandra J.M.} and {van Rumpt}, Dirk and Timmers, {Lambertus F.J.} and Veerman, {Mattheus F.A.} and Kamphuis, {Johannes S.} and Gladkevich, {Anatoliy V.} and Schoevers, {Robert A.} and Luiten, {Paul G.M.} and Eisel, {Ulrich L.M.} and Bosker, {Fokko J.} and Klein, {Hans C.}",
year = "2019",
month = "10",
day = "1",
doi = "10.1016/j.jpsychores.2019.109796",
language = "English",
volume = "125",
journal = "Journal of Psychosomatic Research",
issn = "0022-3999",
publisher = "Elsevier",

}

van Buel, EM, Meddens, MJM, Arnoldussen, EA, van den Heuvel, ER, Bohlmeijer, WC, den Boer, JA, Muller Kobold, A, Boonman-de Winter, LJM, van Rumpt, D, Timmers, LFJ, Veerman, MFA, Kamphuis, JS, Gladkevich, AV, Schoevers, RA, Luiten, PGM, Eisel, ULM, Bosker, FJ & Klein, HC 2019, 'Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers' Journal of Psychosomatic Research, vol. 125, 109796. DOI: 10.1016/j.jpsychores.2019.109796

Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers. / van Buel, Erin M.; Meddens, Marcus J.M.; Arnoldussen, Eduard A.; van den Heuvel, Edwin R.; Bohlmeijer, Willem C.; den Boer, Johan A.; Muller Kobold, Anna; Boonman-de Winter, Leandra J.M.; van Rumpt, Dirk; Timmers, Lambertus F.J.; Veerman, Mattheus F.A.; Kamphuis, Johannes S.; Gladkevich, Anatoliy V.; Schoevers, Robert A. (Corresponding author); Luiten, Paul G.M.; Eisel, Ulrich L.M.; Bosker, Fokko J.; Klein, Hans C.

In: Journal of Psychosomatic Research, Vol. 125, 109796, 01.10.2019.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers

AU - van Buel,Erin M.

AU - Meddens,Marcus J.M.

AU - Arnoldussen,Eduard A.

AU - van den Heuvel,Edwin R.

AU - Bohlmeijer,Willem C.

AU - den Boer,Johan A.

AU - Muller Kobold,Anna

AU - Boonman-de Winter,Leandra J.M.

AU - van Rumpt,Dirk

AU - Timmers,Lambertus F.J.

AU - Veerman,Mattheus F.A.

AU - Kamphuis,Johannes S.

AU - Gladkevich,Anatoliy V.

AU - Schoevers,Robert A.

AU - Luiten,Paul G.M.

AU - Eisel,Ulrich L.M.

AU - Bosker,Fokko J.

AU - Klein,Hans C.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - 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 <.001), in serum (P =.02) and in the combined serum plus urine result (P <.001). Based on this algorithm, a combination of 8 urine biomarkers and 9 serum biomarkers were identified to correlate with MDD, enabling an area under the curve (AUC) of 0.955 in a Receiver Operating Characteristic (ROC) analysis. Selection of either urine biomarkers or serum biomarkers resulted in AUC values of 0.907 and 0.853, respectively. Internal cross-validation (5-fold) confirmed the association of this set of biomarkers with MDD.

AB - 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 <.001), in serum (P =.02) and in the combined serum plus urine result (P <.001). Based on this algorithm, a combination of 8 urine biomarkers and 9 serum biomarkers were identified to correlate with MDD, enabling an area under the curve (AUC) of 0.955 in a Receiver Operating Characteristic (ROC) analysis. Selection of either urine biomarkers or serum biomarkers resulted in AUC values of 0.907 and 0.853, respectively. Internal cross-validation (5-fold) confirmed the association of this set of biomarkers with MDD.

KW - Biomarker panel

KW - Biomarkers

KW - ELISA

KW - Major depressive disorder

KW - Permutation analysis

KW - Urine

UR - http://www.scopus.com/inward/record.url?scp=85071260987&partnerID=8YFLogxK

U2 - 10.1016/j.jpsychores.2019.109796

DO - 10.1016/j.jpsychores.2019.109796

M3 - Article

VL - 125

JO - Journal of Psychosomatic Research

T2 - Journal of Psychosomatic Research

JF - Journal of Psychosomatic Research

SN - 0022-3999

M1 - 109796

ER -

van Buel EM, Meddens MJM, Arnoldussen EA, van den Heuvel ER, Bohlmeijer WC, den Boer JA et al. Major depressive disorder is associated with changes in a cluster of serum and urine biomarkers. Journal of Psychosomatic Research. 2019 Oct 1;125. 109796. Available from, DOI: 10.1016/j.jpsychores.2019.109796