Literature DB >> 26024928

CSF neuroinflammatory biomarkers in bipolar disorder are associated with cognitive impairment.

Sindre Rolstad1, Joel Jakobsson2, Carl Sellgren3, Anniella Isgren2, Carl Johan Ekman4, Maria Bjerke2, Kaj Blennow2, Henrik Zetterberg5, Erik Pålsson2, Mikael Landén6.   

Abstract

Persistent cognitive impairment in the euthymic state of bipolar disorder is increasingly recognized. Mounting evidence also suggests an association between neuroinflammation and cognitive dysfunction. The purpose of this study was to test if cerebrospinal fluid (CSF) markers of neuroinflammation could account for cognitive impairment in bipolar disorder. Hierarchical linear regression models were applied to account for performance in five cognitive domains using CSF neuroinflammatory biomarkers as predictors in patients with bipolar disorder type I and II (N=78). The associations between these biomarkers and cognition were further tested in healthy age- and sex-matched controls (N=86). In patients with bipolar disorder, the CSF biomarkers accounted for a significant proportion of the variance in executive functions (42.8%, p=<.0005) independently of age, medication, disease status, and bipolar subtype. The microglial marker YKL-40 had a high impact (beta=-.99), and was the only biomarker that contributed individually. CSF biomarkers were not associated with cognitive performance in healthy controls. The CSF neuroinflammation biomarker YKL-40 is associated with executive performance in euthymic bipolar disorder, but not in healthy controls.
Copyright © 2015 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; Cerebrospinal fluid; Inflammation; Neuropsychology

Mesh:

Substances:

Year:  2015        PMID: 26024928     DOI: 10.1016/j.euroneuro.2015.04.023

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  12 in total

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Journal:  Front Psychiatry       Date:  2018-11-27       Impact factor: 4.157

8.  Chitinase-3-like protein 1 levels in bipolar disorder.

Authors:  Basak Sahin; Ikbal Inanli; Ali M Calıskan; Sema Uysal
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9.  Blood metabolomics analysis identifies abnormalities in the citric acid cycle, urea cycle, and amino acid metabolism in bipolar disorder.

Authors:  Noriko Yoshimi; Takashi Futamura; Keiji Kakumoto; Alireza M Salehi; Carl M Sellgren; Jessica Holmén-Larsson; Joel Jakobsson; Erik Pålsson; Mikael Landén; Kenji Hashimoto
Journal:  BBA Clin       Date:  2016-04-03

10.  Mean platelet volume in bipolar disorder: the search for an ideal biomarker.

Authors:  Derya Guliz Mert; Hatice Terzi
Journal:  Neuropsychiatr Dis Treat       Date:  2016-08-16       Impact factor: 2.570

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