Cargando…

The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study

We aimed to investigate the impact of aging on the relationship among the composition of gut microbiota, gastrointestinal (GI) symptoms, and the course of treatment for major depressive disorder (MDD) by analyzing the datasets from our previous study. Patients with MDD were recruited, and their stoo...

Descripción completa

Detalles Bibliográficos
Autores principales: Miyaho, Katsuma, Sanada, Kenji, Kurokawa, Shunya, Tanaka, Arisa, Tachibana, Tomoyuki, Ishii, Chiharu, Noda, Yoshihiro, Nakajima, Shinichiro, Fukuda, Shinji, Mimura, Masaru, Kishimoto, Taishiro, Iwanami, Akira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697470/
https://www.ncbi.nlm.nih.gov/pubmed/36579574
http://dx.doi.org/10.3390/jpm12111827
_version_ 1784838571265359872
author Miyaho, Katsuma
Sanada, Kenji
Kurokawa, Shunya
Tanaka, Arisa
Tachibana, Tomoyuki
Ishii, Chiharu
Noda, Yoshihiro
Nakajima, Shinichiro
Fukuda, Shinji
Mimura, Masaru
Kishimoto, Taishiro
Iwanami, Akira
author_facet Miyaho, Katsuma
Sanada, Kenji
Kurokawa, Shunya
Tanaka, Arisa
Tachibana, Tomoyuki
Ishii, Chiharu
Noda, Yoshihiro
Nakajima, Shinichiro
Fukuda, Shinji
Mimura, Masaru
Kishimoto, Taishiro
Iwanami, Akira
author_sort Miyaho, Katsuma
collection PubMed
description We aimed to investigate the impact of aging on the relationship among the composition of gut microbiota, gastrointestinal (GI) symptoms, and the course of treatment for major depressive disorder (MDD) by analyzing the datasets from our previous study. Patients with MDD were recruited, and their stools were collected at three time points (baseline, midterm, and endpoint) following the usual antidepressant treatment. Gut microbiota were analyzed using 16S rRNA gene sequencing. Patients were categorized into two groups based on their age: the late-life group over 60 years and the middle-aged group under 60 years. GI symptoms were assessed with scores of item 11 of the Hamilton Anxiety Rating Scale. One hundred and ninety samples were collected from 32 patients with MDD. Several gut microbes had higher relative abundances in the late-life group than in the middle-aged group. In addition, the late-life group showed significantly higher diversity in the Chao1 index at baseline compared with the middle-aged group. We further found possible microbial taxa related to GI symptoms in patients with late-life depression. The abundance of several bacterial taxa may contribute to GI symptoms in the late-life depression, and our findings suggest that the therapeutic targets for the application of gut microbiota may differ depending on the age group of patients with depression.
format Online
Article
Text
id pubmed-9697470
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96974702022-11-26 The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study Miyaho, Katsuma Sanada, Kenji Kurokawa, Shunya Tanaka, Arisa Tachibana, Tomoyuki Ishii, Chiharu Noda, Yoshihiro Nakajima, Shinichiro Fukuda, Shinji Mimura, Masaru Kishimoto, Taishiro Iwanami, Akira J Pers Med Article We aimed to investigate the impact of aging on the relationship among the composition of gut microbiota, gastrointestinal (GI) symptoms, and the course of treatment for major depressive disorder (MDD) by analyzing the datasets from our previous study. Patients with MDD were recruited, and their stools were collected at three time points (baseline, midterm, and endpoint) following the usual antidepressant treatment. Gut microbiota were analyzed using 16S rRNA gene sequencing. Patients were categorized into two groups based on their age: the late-life group over 60 years and the middle-aged group under 60 years. GI symptoms were assessed with scores of item 11 of the Hamilton Anxiety Rating Scale. One hundred and ninety samples were collected from 32 patients with MDD. Several gut microbes had higher relative abundances in the late-life group than in the middle-aged group. In addition, the late-life group showed significantly higher diversity in the Chao1 index at baseline compared with the middle-aged group. We further found possible microbial taxa related to GI symptoms in patients with late-life depression. The abundance of several bacterial taxa may contribute to GI symptoms in the late-life depression, and our findings suggest that the therapeutic targets for the application of gut microbiota may differ depending on the age group of patients with depression. MDPI 2022-11-03 /pmc/articles/PMC9697470/ /pubmed/36579574 http://dx.doi.org/10.3390/jpm12111827 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Miyaho, Katsuma
Sanada, Kenji
Kurokawa, Shunya
Tanaka, Arisa
Tachibana, Tomoyuki
Ishii, Chiharu
Noda, Yoshihiro
Nakajima, Shinichiro
Fukuda, Shinji
Mimura, Masaru
Kishimoto, Taishiro
Iwanami, Akira
The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title_full The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title_fullStr The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title_full_unstemmed The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title_short The Potential Impact of Age on Gut Microbiota in Patients with Major Depressive Disorder: A Secondary Analysis of the Prospective Observational Study
title_sort potential impact of age on gut microbiota in patients with major depressive disorder: a secondary analysis of the prospective observational study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697470/
https://www.ncbi.nlm.nih.gov/pubmed/36579574
http://dx.doi.org/10.3390/jpm12111827
work_keys_str_mv AT miyahokatsuma thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT sanadakenji thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT kurokawashunya thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT tanakaarisa thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT tachibanatomoyuki thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT ishiichiharu thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT nodayoshihiro thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT nakajimashinichiro thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT fukudashinji thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT mimuramasaru thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT kishimototaishiro thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT iwanamiakira thepotentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT miyahokatsuma potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT sanadakenji potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT kurokawashunya potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT tanakaarisa potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT tachibanatomoyuki potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT ishiichiharu potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT nodayoshihiro potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT nakajimashinichiro potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT fukudashinji potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT mimuramasaru potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT kishimototaishiro potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy
AT iwanamiakira potentialimpactofageongutmicrobiotainpatientswithmajordepressivedisorderasecondaryanalysisoftheprospectiveobservationalstudy