Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study

Background: A close relationship exists between major depressive disorder (MDD) and diabetes mellitus. The metabolomic difference and similarity between patients with and without diabetes mellitus have not been well studied in the context of MDD. We aimed to examine these differences and common seru...

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Main Authors: Naomichi Okamoto, Takashi Hoshikawa, Atsuko Ikenouchi, Tomoya Natsuyama, Rintaro Fujii, Ryohei Igata, Hirofumi Tesen, Yuki Konishi, Yuichi Honma, Masaru Harada, Reiji Yoshimura
Format: Article
Language:English
Published: IMR Press 2023-01-01
Series:Journal of Integrative Neuroscience
Subjects:
Online Access:https://www.imrpress.com/journal/JIN/22/1/10.31083/j.jin2201013
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author Naomichi Okamoto
Takashi Hoshikawa
Atsuko Ikenouchi
Tomoya Natsuyama
Rintaro Fujii
Ryohei Igata
Hirofumi Tesen
Yuki Konishi
Yuichi Honma
Masaru Harada
Reiji Yoshimura
author_facet Naomichi Okamoto
Takashi Hoshikawa
Atsuko Ikenouchi
Tomoya Natsuyama
Rintaro Fujii
Ryohei Igata
Hirofumi Tesen
Yuki Konishi
Yuichi Honma
Masaru Harada
Reiji Yoshimura
author_sort Naomichi Okamoto
collection DOAJ
description Background: A close relationship exists between major depressive disorder (MDD) and diabetes mellitus. The metabolomic difference and similarity between patients with and without diabetes mellitus have not been well studied in the context of MDD. We aimed to examine these differences and common serum metabolomics patterns, pathways and biomarkers that can comprehensively reflect the pathogenetic difference and similarity between these MDD groups. Methods: We performed a metabolomics analysis of serum samples of healthy controls (n = 6), patients with MDD and type 2 diabetes mellitus (n = 13), and patients with MDD without type 2 diabetes mellitus (n = 27). Metabolomics analysis was conducted using capillary electrophoresis Fourier transform mass spectrometry and a candidate compound was assigned to the 496 (290 cation, 206 anion) peaks. Moreover, we evaluated the sensitivity and specificity of the candidate biomarkers for distinguishing between MDD patients with or without type 2 diabetes mellitus. Results: Principal component analysis revealed no clear distinction among the three groups, while naive partial least squares discriminant analysis yielded three relatively good and distinct populations based on the first principal component. Energy conversion by the tricarboxylic acid cycle represented the highest percentage among the top 30 positive factors of the first principal component, and glutamate metabolism and urea cycle represented the highest percentage among the top 30 negative factors of the first principal component. Synthesis and degradation of ketone bodies had high impact in MDD with type 2 diabetes mellitus group and taurine and hypotaurine metabolism had high impact in MDD without type 2 diabetes mellitus group for the pathway. Conclusions: Patterns of serum metabolites may be different among MDD with type 2 diabetes mellitus, MDD without type 2 diabetes mellitus, and healthy controls groups. Specifically, comorbid type 2 diabetes mellitus could affect metabolomics pathway and alter the distribution of serum metabolites in patients with MDD. These findings may shed light on the influence of the type 2 diabetes on the pathophysiology of MDD.
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spelling doaj.art-b838f9325d184e26b812c1565e530fcd2023-02-01T08:23:27ZengIMR PressJournal of Integrative Neuroscience0219-63522023-01-012211310.31083/j.jin2201013S0219-6352(22)00466-1Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory StudyNaomichi Okamoto0Takashi Hoshikawa1Atsuko Ikenouchi2Tomoya Natsuyama3Rintaro Fujii4Ryohei Igata5Hirofumi Tesen6Yuki Konishi7Yuichi Honma8Masaru Harada9Reiji Yoshimura10Department of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanThird Department of Internal Medicine, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanThird Department of Internal Medicine, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanDepartment of Psychiatry, University of Occupational and Environmental Health, 807-8555 Kitakyushu, JapanBackground: A close relationship exists between major depressive disorder (MDD) and diabetes mellitus. The metabolomic difference and similarity between patients with and without diabetes mellitus have not been well studied in the context of MDD. We aimed to examine these differences and common serum metabolomics patterns, pathways and biomarkers that can comprehensively reflect the pathogenetic difference and similarity between these MDD groups. Methods: We performed a metabolomics analysis of serum samples of healthy controls (n = 6), patients with MDD and type 2 diabetes mellitus (n = 13), and patients with MDD without type 2 diabetes mellitus (n = 27). Metabolomics analysis was conducted using capillary electrophoresis Fourier transform mass spectrometry and a candidate compound was assigned to the 496 (290 cation, 206 anion) peaks. Moreover, we evaluated the sensitivity and specificity of the candidate biomarkers for distinguishing between MDD patients with or without type 2 diabetes mellitus. Results: Principal component analysis revealed no clear distinction among the three groups, while naive partial least squares discriminant analysis yielded three relatively good and distinct populations based on the first principal component. Energy conversion by the tricarboxylic acid cycle represented the highest percentage among the top 30 positive factors of the first principal component, and glutamate metabolism and urea cycle represented the highest percentage among the top 30 negative factors of the first principal component. Synthesis and degradation of ketone bodies had high impact in MDD with type 2 diabetes mellitus group and taurine and hypotaurine metabolism had high impact in MDD without type 2 diabetes mellitus group for the pathway. Conclusions: Patterns of serum metabolites may be different among MDD with type 2 diabetes mellitus, MDD without type 2 diabetes mellitus, and healthy controls groups. Specifically, comorbid type 2 diabetes mellitus could affect metabolomics pathway and alter the distribution of serum metabolites in patients with MDD. These findings may shed light on the influence of the type 2 diabetes on the pathophysiology of MDD.https://www.imrpress.com/journal/JIN/22/1/10.31083/j.jin2201013metabolomicsmetabolomemajor depressive disordertype 2 diabetes mellitustricarboxylic acid cycleglutamate metabolism and urea cyclesynthesis and degradation of ketone bodiestaurine and hypotaurine metabolism
spellingShingle Naomichi Okamoto
Takashi Hoshikawa
Atsuko Ikenouchi
Tomoya Natsuyama
Rintaro Fujii
Ryohei Igata
Hirofumi Tesen
Yuki Konishi
Yuichi Honma
Masaru Harada
Reiji Yoshimura
Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
Journal of Integrative Neuroscience
metabolomics
metabolome
major depressive disorder
type 2 diabetes mellitus
tricarboxylic acid cycle
glutamate metabolism and urea cycle
synthesis and degradation of ketone bodies
taurine and hypotaurine metabolism
title Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
title_full Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
title_fullStr Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
title_full_unstemmed Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
title_short Comparison of Serum Metabolomics Pathways and Patterns between Patients with Major Depressive Disorder with and without Type 2 Diabetes Mellitus: An Exploratory Study
title_sort comparison of serum metabolomics pathways and patterns between patients with major depressive disorder with and without type 2 diabetes mellitus an exploratory study
topic metabolomics
metabolome
major depressive disorder
type 2 diabetes mellitus
tricarboxylic acid cycle
glutamate metabolism and urea cycle
synthesis and degradation of ketone bodies
taurine and hypotaurine metabolism
url https://www.imrpress.com/journal/JIN/22/1/10.31083/j.jin2201013
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