Identification of Human Gut Microbiome Associated with Enterolignan Production.

enterolignan gut microbiome lignan machine learning metabolism

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
31 Oct 2022
Historique:
received: 27 09 2022
revised: 26 10 2022
accepted: 27 10 2022
entrez: 11 11 2022
pubmed: 12 11 2022
medline: 12 11 2022
Statut: epublish

Résumé

Dietary plant lignans are converted inside the gut to enterolignans enterodiol (ED) and enterolactone (EL), which have several biological functions, and health benefits. In this study, we characterized the gut microbiome composition associated with enterolignan production using data from a cross-sectional study in the Japanese population. We identified enterolignan producers by measuring ED and EL levels in subject's serum using liquid chromatography-tandem mass spectrometry. Enterolignan producers show more abundant proportion of Ruminococcaceae and Lachnospiraceae than non-enterolignan producers. In particular, subjects with EL in their serum had a highly diverse gut microbiome that was rich in Ruminococcaceae and Rikenellaceae. Moreover, we built a random forest classification model to classify subjects to either EL producers or not using three characteristic bacteria. In conclusion, our analysis revealed the composition of gut microbiome that is associated with lignan metabolism. We also confirmed that it can be used to classify the microbiome ability to metabolize lignan using machine learning approach.

Identifiants

pubmed: 36363762
pii: microorganisms10112169
doi: 10.3390/microorganisms10112169
pmc: PMC9697123
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : the Japan Agency for Medical Research and Development
ID : 22ae0121035s0102
Organisme : the Japan Agency for Medical Research and Development
ID : 22gm1010006h0004
Organisme : the Japan Agency for Medical Research and Development
ID : 22ae0121042h0002
Organisme : the Japan Agency for Medical Research and Development
ID : 22ae0121035s0102
Organisme : the Ministry of Health and Welfare of Japan and Public /Private R&D Investment Strategic Expansion PrograM
ID : 20AC5004

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Auteurs

Kento Sawane (K)

Central Laboratory Innovation Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi 243-0041, Kanagawa, Japan.
Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita 565-0871, Osaka, Japan.

Koji Hosomi (K)

Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Laboratory of Gut Environmental System, Collaborative Research Center for Health and Medicine, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Jonguk Park (J)

Artificial Intelligence Center for Health and Biomedical Research, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Kouta Ookoshi (K)

Central Laboratory Innovation Center, Nippn Corporation, 5-1-3 Midorigaoka, Atsugi 243-0041, Kanagawa, Japan.

Hinako Nanri (H)

Department of Physical Activity Research, NIBIOHN, 1-23-1 Toyama, Shinjuku, Tokyo 162-8636, Japan.
Laboratory of Gut Microbiome for Health, Collaborative Research Center for Health and Medicine, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Takashi Nakagata (T)

Department of Physical Activity Research, NIBIOHN, 1-23-1 Toyama, Shinjuku, Tokyo 162-8636, Japan.
Laboratory of Gut Microbiome for Health, Collaborative Research Center for Health and Medicine, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Yi-An Chen (YA)

Artificial Intelligence Center for Health and Biomedical Research, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Attayeb Mohsen (A)

Artificial Intelligence Center for Health and Biomedical Research, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Hitoshi Kawashima (H)

Artificial Intelligence Center for Health and Biomedical Research, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.

Kenji Mizuguchi (K)

Artificial Intelligence Center for Health and Biomedical Research, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita 565-0871, Osaka, Japan.

Motohiko Miyachi (M)

Department of Physical Activity Research, NIBIOHN, 1-23-1 Toyama, Shinjuku, Tokyo 162-8636, Japan.

Jun Kunisawa (J)

Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita 565-0871, Osaka, Japan.
Laboratory of Gut Environmental System, Collaborative Research Center for Health and Medicine, NIBIOHN, 7-6-8 Saito-Asagi, Ibaraki 567-0085, Osaka, Japan.
Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita 565-0871, Osaka, Japan.
Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka, Suita 565-0871, Osaka, Japan.
Graduate School of Science, Osaka University, 1-1 Machikaneyamacho, Toyonaka 560-0043, Osaka, Japan.
International Vaccine Design Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
Department of Microbiology and Immunology, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan.
Faculty of Science and Engineering, Waseda University, 2-2 Wakamatsu, Shinjuku-ku, Tokyo 162-8480, Japan.

Classifications MeSH