A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder. / Munkholm, K.; Vinberg, M.; Pedersen, B. K.; Poulsen, H. E.; Ekstrøm, C. T.; Kessing, L. V.

In: Acta Psychiatrica Scandinavica, Vol. 139, No. 3, 2019, p. 227-236.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Munkholm, K, Vinberg, M, Pedersen, BK, Poulsen, HE, Ekstrøm, CT & Kessing, LV 2019, 'A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder', Acta Psychiatrica Scandinavica, vol. 139, no. 3, pp. 227-236. https://doi.org/10.1111/acps.12983

APA

Munkholm, K., Vinberg, M., Pedersen, B. K., Poulsen, H. E., Ekstrøm, C. T., & Kessing, L. V. (2019). A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder. Acta Psychiatrica Scandinavica, 139(3), 227-236. https://doi.org/10.1111/acps.12983

Vancouver

Munkholm K, Vinberg M, Pedersen BK, Poulsen HE, Ekstrøm CT, Kessing LV. A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder. Acta Psychiatrica Scandinavica. 2019;139(3):227-236. https://doi.org/10.1111/acps.12983

Author

Munkholm, K. ; Vinberg, M. ; Pedersen, B. K. ; Poulsen, H. E. ; Ekstrøm, C. T. ; Kessing, L. V. / A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder. In: Acta Psychiatrica Scandinavica. 2019 ; Vol. 139, No. 3. pp. 227-236.

Bibtex

@article{21ae043d7d534ace83642d522ea32906,
title = "A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder",
abstract = "Objective: Diagnosis and management of bipolar disorder (BD) are limited by the absence of available laboratory tests. We aimed to combine data from different molecular levels and tissues into a composite diagnostic and state biomarker. Methods: Expression levels of 19 candidate genes in peripheral blood, plasma levels of BDNF, NT-3, IL-6 and IL-18, leukocyte counts, and urinary markers of oxidative damage to DNA and RNA were measured in 37 adult rapid-cycling patients with BD in different affective states during a 6- to 12-month period and in 40 age- and gender-matched healthy individuals in a longitudinal, repeated measures design comprising a total of 211 samples. A composite biomarker was constructed using data-driven variable selection. Results: The composite biomarker discriminated between patients with BD and healthy control individuals with an area under the receiver operating characteristic curve (AUC) of 0.83 and a sensitivity of 73{\%} and specificity of 71{\%} corresponding with a moderately accurate test. Discrimination between manic and depressive states had a moderate accuracy, with an AUC of 0.82 and a sensitivity of 92{\%} and a specificity of 40{\%}. Conclusion: Combining individual biomarkers across tissues and molecular systems could be a promising avenue for research in biomarker models in BD.",
keywords = "biomarkers, bipolar disorder, blood, gene expression, urine",
author = "K. Munkholm and M. Vinberg and Pedersen, {B. K.} and Poulsen, {H. E.} and Ekstr{\o}m, {C. T.} and Kessing, {L. V.}",
year = "2019",
doi = "10.1111/acps.12983",
language = "English",
volume = "139",
pages = "227--236",
journal = "Acta Psychiatrica Scandinavica",
issn = "0001-690X",
publisher = "Wiley",
number = "3",

}

RIS

TY - JOUR

T1 - A multisystem composite biomarker as a preliminary diagnostic test in bipolar disorder

AU - Munkholm, K.

AU - Vinberg, M.

AU - Pedersen, B. K.

AU - Poulsen, H. E.

AU - Ekstrøm, C. T.

AU - Kessing, L. V.

PY - 2019

Y1 - 2019

N2 - Objective: Diagnosis and management of bipolar disorder (BD) are limited by the absence of available laboratory tests. We aimed to combine data from different molecular levels and tissues into a composite diagnostic and state biomarker. Methods: Expression levels of 19 candidate genes in peripheral blood, plasma levels of BDNF, NT-3, IL-6 and IL-18, leukocyte counts, and urinary markers of oxidative damage to DNA and RNA were measured in 37 adult rapid-cycling patients with BD in different affective states during a 6- to 12-month period and in 40 age- and gender-matched healthy individuals in a longitudinal, repeated measures design comprising a total of 211 samples. A composite biomarker was constructed using data-driven variable selection. Results: The composite biomarker discriminated between patients with BD and healthy control individuals with an area under the receiver operating characteristic curve (AUC) of 0.83 and a sensitivity of 73% and specificity of 71% corresponding with a moderately accurate test. Discrimination between manic and depressive states had a moderate accuracy, with an AUC of 0.82 and a sensitivity of 92% and a specificity of 40%. Conclusion: Combining individual biomarkers across tissues and molecular systems could be a promising avenue for research in biomarker models in BD.

AB - Objective: Diagnosis and management of bipolar disorder (BD) are limited by the absence of available laboratory tests. We aimed to combine data from different molecular levels and tissues into a composite diagnostic and state biomarker. Methods: Expression levels of 19 candidate genes in peripheral blood, plasma levels of BDNF, NT-3, IL-6 and IL-18, leukocyte counts, and urinary markers of oxidative damage to DNA and RNA were measured in 37 adult rapid-cycling patients with BD in different affective states during a 6- to 12-month period and in 40 age- and gender-matched healthy individuals in a longitudinal, repeated measures design comprising a total of 211 samples. A composite biomarker was constructed using data-driven variable selection. Results: The composite biomarker discriminated between patients with BD and healthy control individuals with an area under the receiver operating characteristic curve (AUC) of 0.83 and a sensitivity of 73% and specificity of 71% corresponding with a moderately accurate test. Discrimination between manic and depressive states had a moderate accuracy, with an AUC of 0.82 and a sensitivity of 92% and a specificity of 40%. Conclusion: Combining individual biomarkers across tissues and molecular systems could be a promising avenue for research in biomarker models in BD.

KW - biomarkers

KW - bipolar disorder

KW - blood

KW - gene expression

KW - urine

U2 - 10.1111/acps.12983

DO - 10.1111/acps.12983

M3 - Journal article

VL - 139

SP - 227

EP - 236

JO - Acta Psychiatrica Scandinavica

JF - Acta Psychiatrica Scandinavica

SN - 0001-690X

IS - 3

ER -

ID: 210293248