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Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder

Microbiota-gut-brain axis signaling plays a pivotal role in mood disorders. The communication between the host and the gut microbiota may involve complex regulatory networks. Previous evidence showed that host-fecal microRNAs (miRNAs) interactions partly shaped gut microbiota composition. We hypothe...

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Autores principales: Chen, Hui-Mei, Chung, Yu-Chu Ella, Chen, Hsi-Chung, Liu, Yen-Wenn, Chen, I-Ming, Lu, Mong-Liang, Hsiao, Felix Shih-Hsiang, Chen, Chun-Hsin, Huang, Ming-Chyi, Shih, Wei-Liang, Kuo, Po-Hsiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722658/
https://www.ncbi.nlm.nih.gov/pubmed/36470908
http://dx.doi.org/10.1038/s41598-022-24773-7
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author Chen, Hui-Mei
Chung, Yu-Chu Ella
Chen, Hsi-Chung
Liu, Yen-Wenn
Chen, I-Ming
Lu, Mong-Liang
Hsiao, Felix Shih-Hsiang
Chen, Chun-Hsin
Huang, Ming-Chyi
Shih, Wei-Liang
Kuo, Po-Hsiu
author_facet Chen, Hui-Mei
Chung, Yu-Chu Ella
Chen, Hsi-Chung
Liu, Yen-Wenn
Chen, I-Ming
Lu, Mong-Liang
Hsiao, Felix Shih-Hsiang
Chen, Chun-Hsin
Huang, Ming-Chyi
Shih, Wei-Liang
Kuo, Po-Hsiu
author_sort Chen, Hui-Mei
collection PubMed
description Microbiota-gut-brain axis signaling plays a pivotal role in mood disorders. The communication between the host and the gut microbiota may involve complex regulatory networks. Previous evidence showed that host-fecal microRNAs (miRNAs) interactions partly shaped gut microbiota composition. We hypothesized that some miRNAs are correlated with specific bacteria in the fecal samples in patients with major depressive disorder (MDD), and these miRNAs would show enrichment in pathways associated with MDD. MDD patients and healthy controls were recruited to collect fecal samples. We performed 16S ribosome RNA sequence using the Illumina MiSeq sequencers and analysis of 798 fecal miRNAs using the nCounter Human-v2 miRNA Panel in 20 subjects. We calculated the Spearman correlation coefficient for bacteria abundance and miRNA expressions, and analyzed the predicted miRNA pathways by enrichment analysis with false-discovery correction (FDR). A total of 270 genera and 798 miRNAs were detected in the fecal samples. Seven genera (Anaerostipes, Bacteroides, Bifidobacterium, Clostridium, Collinsella, Dialister, and Roseburia) had fold changes greater than one and were present in over 90% of all fecal samples. In particular, Bacteroides and Dialister significantly differed between the MDD and control groups (p-value < 0.05). The correlation coefficients between the seven genera and miRNAs in patients with MDD showed 48 pairs of positive correlations and 36 negative correlations (p-value < 0.01). For miRNA predicted functions, there were 57 predicted pathways with a p-value < 0.001, including MDD-associated pathways, axon guidance, circadian rhythm, dopaminergic synapse, focal adhesion, long-term potentiation, and neurotrophin signaling pathway. In the current pilot study, our findings suggest specific genera highly correlated with the predicted miRNA functions, which might provide clues for the interaction between host factors and gut microbiota via the microbiota-gut-brain axis. Follow-up studies with larger sample sizes and refined experimental design are essential to dissect the roles between gut microbiota and miRNAs for depression.
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spelling pubmed-97226582022-12-07 Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder Chen, Hui-Mei Chung, Yu-Chu Ella Chen, Hsi-Chung Liu, Yen-Wenn Chen, I-Ming Lu, Mong-Liang Hsiao, Felix Shih-Hsiang Chen, Chun-Hsin Huang, Ming-Chyi Shih, Wei-Liang Kuo, Po-Hsiu Sci Rep Article Microbiota-gut-brain axis signaling plays a pivotal role in mood disorders. The communication between the host and the gut microbiota may involve complex regulatory networks. Previous evidence showed that host-fecal microRNAs (miRNAs) interactions partly shaped gut microbiota composition. We hypothesized that some miRNAs are correlated with specific bacteria in the fecal samples in patients with major depressive disorder (MDD), and these miRNAs would show enrichment in pathways associated with MDD. MDD patients and healthy controls were recruited to collect fecal samples. We performed 16S ribosome RNA sequence using the Illumina MiSeq sequencers and analysis of 798 fecal miRNAs using the nCounter Human-v2 miRNA Panel in 20 subjects. We calculated the Spearman correlation coefficient for bacteria abundance and miRNA expressions, and analyzed the predicted miRNA pathways by enrichment analysis with false-discovery correction (FDR). A total of 270 genera and 798 miRNAs were detected in the fecal samples. Seven genera (Anaerostipes, Bacteroides, Bifidobacterium, Clostridium, Collinsella, Dialister, and Roseburia) had fold changes greater than one and were present in over 90% of all fecal samples. In particular, Bacteroides and Dialister significantly differed between the MDD and control groups (p-value < 0.05). The correlation coefficients between the seven genera and miRNAs in patients with MDD showed 48 pairs of positive correlations and 36 negative correlations (p-value < 0.01). For miRNA predicted functions, there were 57 predicted pathways with a p-value < 0.001, including MDD-associated pathways, axon guidance, circadian rhythm, dopaminergic synapse, focal adhesion, long-term potentiation, and neurotrophin signaling pathway. In the current pilot study, our findings suggest specific genera highly correlated with the predicted miRNA functions, which might provide clues for the interaction between host factors and gut microbiota via the microbiota-gut-brain axis. Follow-up studies with larger sample sizes and refined experimental design are essential to dissect the roles between gut microbiota and miRNAs for depression. Nature Publishing Group UK 2022-12-05 /pmc/articles/PMC9722658/ /pubmed/36470908 http://dx.doi.org/10.1038/s41598-022-24773-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chen, Hui-Mei
Chung, Yu-Chu Ella
Chen, Hsi-Chung
Liu, Yen-Wenn
Chen, I-Ming
Lu, Mong-Liang
Hsiao, Felix Shih-Hsiang
Chen, Chun-Hsin
Huang, Ming-Chyi
Shih, Wei-Liang
Kuo, Po-Hsiu
Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title_full Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title_fullStr Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title_full_unstemmed Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title_short Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder
title_sort exploration of the relationship between gut microbiota and fecal micrornas in patients with major depressive disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722658/
https://www.ncbi.nlm.nih.gov/pubmed/36470908
http://dx.doi.org/10.1038/s41598-022-24773-7
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