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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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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 |
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