Signaling networks in inflammatory pathways and risk for suicidal behavior

Background: Suicide is a leading cause of death in the young adult population, with few biological markers identified thus far to be associated with suicidality. Cytokines (including IL-6 and TNFα) may contribute to increased risk for depression and suicidality. Few studies have examined the associa...

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Main Authors: Manivel Rengasamy, Yongqi Zhong, Anna Marsland, Kehui Chen, Antoine Douaihy, David Brent, Nadine M. Melhem
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Brain, Behavior, & Immunity - Health
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666354620300879
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author Manivel Rengasamy
Yongqi Zhong
Anna Marsland
Kehui Chen
Antoine Douaihy
David Brent
Nadine M. Melhem
author_facet Manivel Rengasamy
Yongqi Zhong
Anna Marsland
Kehui Chen
Antoine Douaihy
David Brent
Nadine M. Melhem
author_sort Manivel Rengasamy
collection DOAJ
description Background: Suicide is a leading cause of death in the young adult population, with few biological markers identified thus far to be associated with suicidality. Cytokines (including IL-6 and TNFα) may contribute to increased risk for depression and suicidality. Few studies have examined the associations of cytokine mRNA expression with depression and suicidal ideation and behavior. This study examines these associations and whether cytokine signaling networks differentiate suicide attempters (SA), suicide ideators (SI), and healthy controls (HC). Methods: Cytokine pathway marker (CPM; e.g. cytokines and proteins in cytokine signaling pathways) mRNA gene expression in whole blood was examined in suicide attempters (n ​= ​38), suicide ideators (n ​= ​38), and healthy controls (n ​= ​36). Between-group differences in CPM gene expression were examined. We also examined association of the mRNA of these genes with the severity of depression and suicidal ideation. Novel Gaussian Graphical Model (GGM) techniques were utilized to examine between-network partial correlation differences in cytokine signaling networks relevant to IL-6 and TNFα signaling pathways. Results: The severity of depression symptoms was positively associated with TNFα mRNA levels and negatively associated with IL-10 mRNA levels, but CPM expression was not associated with suicidal ideation severity. There were no between-group differences in CPM markers among healthy controls, SI and SA groups after correcting for multiple comparisons. In network analyses, we found suggestive results of between-group network differences between SI and control groups in gene pairs with IL-6R and STAT3 as common nodes. Discussion: In a cohort of suicide attempters and ideators, TNFα and IL-10 mRNA levels appear to be associated with depressive symptomology, consistent with elevation of pro-inflammatory cytokine production and reduction of anti-inflammatory cytokine production. Additionally, cytokine signaling networks may differentiate suicide ideators from healthy controls based on between-network differences, with differences possibly related to relationships of IL6R or STAT3 with other components of cytokine signaling networks.
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spelling doaj.art-3595d1a172b64564bcc66caf95008e7e2022-12-21T22:33:29ZengElsevierBrain, Behavior, & Immunity - Health2666-35462020-08-017100122Signaling networks in inflammatory pathways and risk for suicidal behaviorManivel Rengasamy0Yongqi Zhong1Anna Marsland2Kehui Chen3Antoine Douaihy4David Brent5Nadine M. Melhem6Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USADepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Pittsburgh, PA, USADepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USADepartment of Statistics, University of Pittsburgh, Pittsburgh, PA, USADepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USADepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USADepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Corresponding author. 3811 O’Hara St., BFT 752, Pittsburgh, PA, 15213, USABackground: Suicide is a leading cause of death in the young adult population, with few biological markers identified thus far to be associated with suicidality. Cytokines (including IL-6 and TNFα) may contribute to increased risk for depression and suicidality. Few studies have examined the associations of cytokine mRNA expression with depression and suicidal ideation and behavior. This study examines these associations and whether cytokine signaling networks differentiate suicide attempters (SA), suicide ideators (SI), and healthy controls (HC). Methods: Cytokine pathway marker (CPM; e.g. cytokines and proteins in cytokine signaling pathways) mRNA gene expression in whole blood was examined in suicide attempters (n ​= ​38), suicide ideators (n ​= ​38), and healthy controls (n ​= ​36). Between-group differences in CPM gene expression were examined. We also examined association of the mRNA of these genes with the severity of depression and suicidal ideation. Novel Gaussian Graphical Model (GGM) techniques were utilized to examine between-network partial correlation differences in cytokine signaling networks relevant to IL-6 and TNFα signaling pathways. Results: The severity of depression symptoms was positively associated with TNFα mRNA levels and negatively associated with IL-10 mRNA levels, but CPM expression was not associated with suicidal ideation severity. There were no between-group differences in CPM markers among healthy controls, SI and SA groups after correcting for multiple comparisons. In network analyses, we found suggestive results of between-group network differences between SI and control groups in gene pairs with IL-6R and STAT3 as common nodes. Discussion: In a cohort of suicide attempters and ideators, TNFα and IL-10 mRNA levels appear to be associated with depressive symptomology, consistent with elevation of pro-inflammatory cytokine production and reduction of anti-inflammatory cytokine production. Additionally, cytokine signaling networks may differentiate suicide ideators from healthy controls based on between-network differences, with differences possibly related to relationships of IL6R or STAT3 with other components of cytokine signaling networks.http://www.sciencedirect.com/science/article/pii/S2666354620300879CytokineSignalingNetworkSuicideInflammationGene expression
spellingShingle Manivel Rengasamy
Yongqi Zhong
Anna Marsland
Kehui Chen
Antoine Douaihy
David Brent
Nadine M. Melhem
Signaling networks in inflammatory pathways and risk for suicidal behavior
Brain, Behavior, & Immunity - Health
Cytokine
Signaling
Network
Suicide
Inflammation
Gene expression
title Signaling networks in inflammatory pathways and risk for suicidal behavior
title_full Signaling networks in inflammatory pathways and risk for suicidal behavior
title_fullStr Signaling networks in inflammatory pathways and risk for suicidal behavior
title_full_unstemmed Signaling networks in inflammatory pathways and risk for suicidal behavior
title_short Signaling networks in inflammatory pathways and risk for suicidal behavior
title_sort signaling networks in inflammatory pathways and risk for suicidal behavior
topic Cytokine
Signaling
Network
Suicide
Inflammation
Gene expression
url http://www.sciencedirect.com/science/article/pii/S2666354620300879
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