Cargando…
An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study
In a previous mouse study, social defeat stress-induced microglial activation released tumor necrosis factor-α (TNF-α), leading to neuronal changes in the prefrontal cortex (PFC) and behavioral changes (anxiety). We aimed to investigate the relationship between gray-matter (GM) structural networks a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287077/ https://www.ncbi.nlm.nih.gov/pubmed/32522975 http://dx.doi.org/10.1038/s41398-020-00873-8 |
_version_ | 1783544991186944000 |
---|---|
author | Kakeda, Shingo Watanabe, Keita Nguyen, Hoa Katsuki, Asuka Sugimoto, Koichiro Igata, Natsuki Abe, Osamu Yoshimura, Reiji Korogi, Yukunori |
author_facet | Kakeda, Shingo Watanabe, Keita Nguyen, Hoa Katsuki, Asuka Sugimoto, Koichiro Igata, Natsuki Abe, Osamu Yoshimura, Reiji Korogi, Yukunori |
author_sort | Kakeda, Shingo |
collection | PubMed |
description | In a previous mouse study, social defeat stress-induced microglial activation released tumor necrosis factor-α (TNF-α), leading to neuronal changes in the prefrontal cortex (PFC) and behavioral changes (anxiety). We aimed to investigate the relationship between gray-matter (GM) structural networks and serum TNF-α in patients with major depression disorder (MDD) using multivariate source-based morphometry (SBM). Forty-five first-episode and drug-naïve MDD patients and 38 healthy subjects (HSs) were recruited. High-resolution T1-weighted imaging was performed and serum TNF-α levels were measured in all MDD patients and HSs. After acquiring GM structural networks using SBM, we compared the Z-transformed loading coefficients (Z-scores) between MDD patients and HSs, and investigated the relationship between the Z-scores and the serum TNF-α levels in MDD patients. The serum TNF-α levels in MDD patients were significantly higher than those in HSs. We extracted two independent GM structural networks (the prefrontal network and the insula-temporal network) with significant differences between MDD patients and HSs (−0.305 ± 0.85 and 0.253 ± 0.82; P = 0.03 in the prefrontal network, and −0.268 ± 0.86 and 0.467 ± 0.71; P < 0.01 in the insula-temporal network). The serum TNF-α levels were significantly correlated with the Z-scores in the prefrontal network after Bonferroni correction (r = −0.419, p < 0.01); however, the correlation in the insula-temporal network was not significant (r = −0.290, p = 0.11). Elevated serum TNF-α levels in the early stage of MDD were associated with alteration of the prefrontal network. |
format | Online Article Text |
id | pubmed-7287077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72870772020-06-19 An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study Kakeda, Shingo Watanabe, Keita Nguyen, Hoa Katsuki, Asuka Sugimoto, Koichiro Igata, Natsuki Abe, Osamu Yoshimura, Reiji Korogi, Yukunori Transl Psychiatry Article In a previous mouse study, social defeat stress-induced microglial activation released tumor necrosis factor-α (TNF-α), leading to neuronal changes in the prefrontal cortex (PFC) and behavioral changes (anxiety). We aimed to investigate the relationship between gray-matter (GM) structural networks and serum TNF-α in patients with major depression disorder (MDD) using multivariate source-based morphometry (SBM). Forty-five first-episode and drug-naïve MDD patients and 38 healthy subjects (HSs) were recruited. High-resolution T1-weighted imaging was performed and serum TNF-α levels were measured in all MDD patients and HSs. After acquiring GM structural networks using SBM, we compared the Z-transformed loading coefficients (Z-scores) between MDD patients and HSs, and investigated the relationship between the Z-scores and the serum TNF-α levels in MDD patients. The serum TNF-α levels in MDD patients were significantly higher than those in HSs. We extracted two independent GM structural networks (the prefrontal network and the insula-temporal network) with significant differences between MDD patients and HSs (−0.305 ± 0.85 and 0.253 ± 0.82; P = 0.03 in the prefrontal network, and −0.268 ± 0.86 and 0.467 ± 0.71; P < 0.01 in the insula-temporal network). The serum TNF-α levels were significantly correlated with the Z-scores in the prefrontal network after Bonferroni correction (r = −0.419, p < 0.01); however, the correlation in the insula-temporal network was not significant (r = −0.290, p = 0.11). Elevated serum TNF-α levels in the early stage of MDD were associated with alteration of the prefrontal network. Nature Publishing Group UK 2020-06-10 /pmc/articles/PMC7287077/ /pubmed/32522975 http://dx.doi.org/10.1038/s41398-020-00873-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kakeda, Shingo Watanabe, Keita Nguyen, Hoa Katsuki, Asuka Sugimoto, Koichiro Igata, Natsuki Abe, Osamu Yoshimura, Reiji Korogi, Yukunori An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title | An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title_full | An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title_fullStr | An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title_full_unstemmed | An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title_short | An independent component analysis reveals brain structural networks related to TNF-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
title_sort | independent component analysis reveals brain structural networks related to tnf-α in drug-naïve, first-episode major depressive disorder: a source-based morphometric study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287077/ https://www.ncbi.nlm.nih.gov/pubmed/32522975 http://dx.doi.org/10.1038/s41398-020-00873-8 |
work_keys_str_mv | AT kakedashingo anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT watanabekeita anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT nguyenhoa anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT katsukiasuka anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT sugimotokoichiro anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT igatanatsuki anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT abeosamu anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT yoshimurareiji anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT korogiyukunori anindependentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT kakedashingo independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT watanabekeita independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT nguyenhoa independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT katsukiasuka independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT sugimotokoichiro independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT igatanatsuki independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT abeosamu independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT yoshimurareiji independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy AT korogiyukunori independentcomponentanalysisrevealsbrainstructuralnetworksrelatedtotnfaindrugnaivefirstepisodemajordepressivedisorderasourcebasedmorphometricstudy |