Cargando…

The core inflammatory factors in patients with major depressive disorder: a network analysis

INTRODUCTION: The symptoms of major depressive disorder (MDD) vary widely. Psycho-neuro-inflammation has shown that MDD’s inflammatory factors can accelerate or slow disease progression. This network analysis study examined the complex interactions between depressed symptoms and inflammatory factors...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Yexian, Sun, Bin, Zhang, Fan, Hu, Zhibo, Li, Weicheng, Lan, Xiaofeng, Ning, Yuping, Zhou, Yanling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491022/
https://www.ncbi.nlm.nih.gov/pubmed/37692303
http://dx.doi.org/10.3389/fpsyt.2023.1216583
_version_ 1785103978507272192
author Zeng, Yexian
Sun, Bin
Zhang, Fan
Hu, Zhibo
Li, Weicheng
Lan, Xiaofeng
Ning, Yuping
Zhou, Yanling
author_facet Zeng, Yexian
Sun, Bin
Zhang, Fan
Hu, Zhibo
Li, Weicheng
Lan, Xiaofeng
Ning, Yuping
Zhou, Yanling
author_sort Zeng, Yexian
collection PubMed
description INTRODUCTION: The symptoms of major depressive disorder (MDD) vary widely. Psycho-neuro-inflammation has shown that MDD’s inflammatory factors can accelerate or slow disease progression. This network analysis study examined the complex interactions between depressed symptoms and inflammatory factors in MDD prevention and treatment. MEASURES: We gathered participants’ inflammatory factor levels, used the Hamilton Depression Scale (HAMD-17), and network analysis was used to analyzed the data. Network analysis revealed the core inflammatory (nodes) and their interactions (edges). Stability and accuracy tests assessed these centrality measures’ network robustness. Cluster analysis was used to group persons with similar dimension depressive symptoms and examine their networks. RESULTS: Interleukin-1β (IL-1β) is the core inflammatory factor in the overall sample, and IL-1β—interleukin-4 (IL-4) is the strongest correlation. Network precision and stability passed. Network analysis showed significant differences between Cluster 1 (with more severe anxiety/somatization and sleep disruption) and Cluster 3 (with more severe retardation and cognitive disorders), as well as between Cluster 2 (with more severe anxiety/somatization, sleep disruption and body weight) and Cluster 3. IL-1β is the core inflammatory factor in Cluster 1 and Cluster 2, while tumor necrosis factor alpha (TNF-α) in Cluster 3. CONCLUSION: IL-1β is the central inflammatory factor in the network, and there is heterogeneity in the core inflammatory factor of MDD with specific depressive dimension symptoms as the main manifestation. In conclusion, inflammatory factors and their links should be prioritized in future theoretical models of MDD and may provide new research targets for MDD intervention and treatment.
format Online
Article
Text
id pubmed-10491022
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104910222023-09-09 The core inflammatory factors in patients with major depressive disorder: a network analysis Zeng, Yexian Sun, Bin Zhang, Fan Hu, Zhibo Li, Weicheng Lan, Xiaofeng Ning, Yuping Zhou, Yanling Front Psychiatry Psychiatry INTRODUCTION: The symptoms of major depressive disorder (MDD) vary widely. Psycho-neuro-inflammation has shown that MDD’s inflammatory factors can accelerate or slow disease progression. This network analysis study examined the complex interactions between depressed symptoms and inflammatory factors in MDD prevention and treatment. MEASURES: We gathered participants’ inflammatory factor levels, used the Hamilton Depression Scale (HAMD-17), and network analysis was used to analyzed the data. Network analysis revealed the core inflammatory (nodes) and their interactions (edges). Stability and accuracy tests assessed these centrality measures’ network robustness. Cluster analysis was used to group persons with similar dimension depressive symptoms and examine their networks. RESULTS: Interleukin-1β (IL-1β) is the core inflammatory factor in the overall sample, and IL-1β—interleukin-4 (IL-4) is the strongest correlation. Network precision and stability passed. Network analysis showed significant differences between Cluster 1 (with more severe anxiety/somatization and sleep disruption) and Cluster 3 (with more severe retardation and cognitive disorders), as well as between Cluster 2 (with more severe anxiety/somatization, sleep disruption and body weight) and Cluster 3. IL-1β is the core inflammatory factor in Cluster 1 and Cluster 2, while tumor necrosis factor alpha (TNF-α) in Cluster 3. CONCLUSION: IL-1β is the central inflammatory factor in the network, and there is heterogeneity in the core inflammatory factor of MDD with specific depressive dimension symptoms as the main manifestation. In conclusion, inflammatory factors and their links should be prioritized in future theoretical models of MDD and may provide new research targets for MDD intervention and treatment. Frontiers Media S.A. 2023-08-25 /pmc/articles/PMC10491022/ /pubmed/37692303 http://dx.doi.org/10.3389/fpsyt.2023.1216583 Text en Copyright © 2023 Zeng, Sun, Zhang, Hu, Li, Lan, Ning and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Zeng, Yexian
Sun, Bin
Zhang, Fan
Hu, Zhibo
Li, Weicheng
Lan, Xiaofeng
Ning, Yuping
Zhou, Yanling
The core inflammatory factors in patients with major depressive disorder: a network analysis
title The core inflammatory factors in patients with major depressive disorder: a network analysis
title_full The core inflammatory factors in patients with major depressive disorder: a network analysis
title_fullStr The core inflammatory factors in patients with major depressive disorder: a network analysis
title_full_unstemmed The core inflammatory factors in patients with major depressive disorder: a network analysis
title_short The core inflammatory factors in patients with major depressive disorder: a network analysis
title_sort core inflammatory factors in patients with major depressive disorder: a network analysis
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491022/
https://www.ncbi.nlm.nih.gov/pubmed/37692303
http://dx.doi.org/10.3389/fpsyt.2023.1216583
work_keys_str_mv AT zengyexian thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT sunbin thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT zhangfan thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT huzhibo thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT liweicheng thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT lanxiaofeng thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT ningyuping thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT zhouyanling thecoreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT zengyexian coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT sunbin coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT zhangfan coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT huzhibo coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT liweicheng coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT lanxiaofeng coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT ningyuping coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis
AT zhouyanling coreinflammatoryfactorsinpatientswithmajordepressivedisorderanetworkanalysis