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Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network.

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Title: Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network.
Authors: Lei, Xiaoxia (AUTHOR), Ren, Juanjuan (AUTHOR), Teng, Xinyue (AUTHOR), Guo, Chaoyue (AUTHOR), Wu, Zenan (AUTHOR), Yu, Lingfang (AUTHOR), Chen, Xiaochang (AUTHOR), Fu, Lirong (AUTHOR), Zhang, Rong (AUTHOR), Wang, Dandan (AUTHOR), Chen, Yan (AUTHOR), Zhang, Yi (AUTHOR), Zhang, Chen (AUTHOR)
Source: Depression & Anxiety (1091-4269). 5/24/2023, p1-11. 11p. 2 Diagrams, 3 Charts.
Subjects: Bipolar disorder, Inflammatory mediators, Receiver operating characteristic curves, Diffusion magnetic resonance imaging, Growth factors
Abstract: Objective. The prefrontal-limbic system is closely associated with emotion processing in both unipolar depression (UD) and bipolar depression (BD). Evidence for this link is derived mostly from task-fMRI studies, with limited support from structural findings. Therefore, this study explores the differences in the emotional circuit in these two disorders on a structural, large-scale network basis, coupled with the highly noted inflammatory and growth factors. Methods. In this study, 31 BD patients, 37 UD patients, and 61 age-, sex-, and education-matched healthy controls (HCs) underwent diffusion-weighted imaging (DWI) scanning and serum cytokine sampling. The study compared cytokine levels and prefrontal-limbic network alterations among the three groups and explored potential biological and neurobiological markers to distinguish the two disorders using graph theory, network-based statistics (NBS), and logistic regression. Results. Compared to BD patients, UD patients showed greater s-100β protein levels, higher efficiency of the right amygdala, and significantly elevated prefrontal-cingulate-amygdala subnetwork intensity. Importantly, the altered prefrontal-cingulate-amygdala subnetwork, nodal efficiency of the right amygdala, IL-8, IL-17, and s-100β levels were risk factors for the diagnosis of UD, whereas anxiety symptoms tended to closely correlate with BD. Moreover, binary logistic regression manifested these factors achieved an area under the curve (AUC) of the receiver operating characteristics (ROC) of 0.949, with 0.875 sensitivity and 0.938 specificity in UD vs. BD classification. Conclusions. These findings narrow the gap in the structural network of emotional circuits in bipolar and unipolar depression, pointing to distinct emotion-processing mechanisms in both disorders. [ABSTRACT FROM AUTHOR]
Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network.
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  Data: <searchLink fieldCode="AR" term="%22Lei%2C+Xiaoxia%22">Lei, Xiaoxia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ren%2C+Juanjuan%22">Ren, Juanjuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teng%2C+Xinyue%22">Teng, Xinyue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Chaoyue%22">Guo, Chaoyue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Zenan%22">Wu, Zenan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Lingfang%22">Yu, Lingfang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiaochang%22">Chen, Xiaochang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Lirong%22">Fu, Lirong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Rong%22">Zhang, Rong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Dandan%22">Wang, Dandan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yan%22">Chen, Yan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yi%22">Zhang, Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chen%22">Zhang, Chen</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Depression+%26+Anxiety+%281091-4269%29%22">Depression & Anxiety (1091-4269)</searchLink>. 5/24/2023, p1-11. 11p. 2 Diagrams, 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Inflammatory+mediators%22">Inflammatory mediators</searchLink><br /><searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+magnetic+resonance+imaging%22">Diffusion magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Growth+factors%22">Growth factors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective. The prefrontal-limbic system is closely associated with emotion processing in both unipolar depression (UD) and bipolar depression (BD). Evidence for this link is derived mostly from task-fMRI studies, with limited support from structural findings. Therefore, this study explores the differences in the emotional circuit in these two disorders on a structural, large-scale network basis, coupled with the highly noted inflammatory and growth factors. Methods. In this study, 31 BD patients, 37 UD patients, and 61 age-, sex-, and education-matched healthy controls (HCs) underwent diffusion-weighted imaging (DWI) scanning and serum cytokine sampling. The study compared cytokine levels and prefrontal-limbic network alterations among the three groups and explored potential biological and neurobiological markers to distinguish the two disorders using graph theory, network-based statistics (NBS), and logistic regression. Results. Compared to BD patients, UD patients showed greater s-100β protein levels, higher efficiency of the right amygdala, and significantly elevated prefrontal-cingulate-amygdala subnetwork intensity. Importantly, the altered prefrontal-cingulate-amygdala subnetwork, nodal efficiency of the right amygdala, IL-8, IL-17, and s-100β levels were risk factors for the diagnosis of UD, whereas anxiety symptoms tended to closely correlate with BD. Moreover, binary logistic regression manifested these factors achieved an area under the curve (AUC) of the receiver operating characteristics (ROC) of 0.949, with 0.875 sensitivity and 0.938 specificity in UD vs. BD classification. Conclusions. These findings narrow the gap in the structural network of emotional circuits in bipolar and unipolar depression, pointing to distinct emotion-processing mechanisms in both disorders. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1155/2023/5522658
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        Text: English
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      – SubjectFull: Bipolar disorder
        Type: general
      – SubjectFull: Inflammatory mediators
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      – SubjectFull: Receiver operating characteristic curves
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      – SubjectFull: Diffusion magnetic resonance imaging
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      – SubjectFull: Growth factors
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              Text: 5/24/2023
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