Mucosa-associated gut microbiome in Japanese patients with functional constipation

The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces....

Full description

Saved in:
Bibliographic Details
Published inJournal of Clinical Biochemistry and Nutrition Vol. 68; no. 2; pp. 187 - 192
Main Authors Inoue, Ryo, Inatomi, Osamu, Andoh, Akira, Morishima, So, Sugitani, Yoshihiko, Imai, Takayuki, Nishida, Atsushi, Kawahara, Masahiro, Naito, Yuji
Format Journal Article
LanguageEnglish
Published Japan SOCIETY FOR FREE RADICAL RESEARCH JAPAN 01.03.2021
Japan Science and Technology Agency
the Society for Free Radical Research Japan
Subjects
Online AccessGet full text
ISSN0912-0009
1880-5086
1880-5086
DOI10.3164/jcbn.20-93

Cover

Abstract The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (p = 0.017 for unweighted and p = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera Streptococcus, Fusobacterium, Comamonas, and Alistipes was significantly higher in the constipation group. The abundance of the genera Acinetobacter, Oscillospilla, Mucispirillum, Propinibacterium, and Anaerotruncus was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d -arginine and d -ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes (Alistipes).
AbstractList The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (p = 0.017 for unweighted and p = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera Streptococcus, Fusobacterium, Comamonas, and Alistipes was significantly higher in the constipation group. The abundance of the genera Acinetobacter, Oscillospilla, Mucispirillum, Propinibacterium, and Anaerotruncus was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d-arginine and d-ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes (Alistipes).
The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (p = 0.017 for unweighted and p = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera Streptococcus, Fusobacterium, Comamonas, and Alistipes was significantly higher in the constipation group. The abundance of the genera Acinetobacter, Oscillospilla, Mucispirillum, Propinibacterium, and Anaerotruncus was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d-arginine and d-ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes (Alistipes).
The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (  = 0.017 for unweighted and  = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera , , , and was significantly higher in the constipation group. The abundance of the genera , , , , and was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d-arginine and d-ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes ( ).
The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (p = 0.017 for unweighted and p = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera Streptococcus, Fusobacterium, Comamonas, and Alistipes was significantly higher in the constipation group. The abundance of the genera Acinetobacter, Oscillospilla, Mucispirillum, Propinibacterium, and Anaerotruncus was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d-arginine and d-ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes (Alistipes).The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with functional constipation. Diagnosis was made according to the Rome IV criteria. Mucosal samples were obtained by gentle brushing of mucosa surfaces. The gut microbiome was analyzed using 16S rRNA gene sequencing. There were no significant differences in bacteria α-diversity such as richness and evenness. The PCoA indicated significant structural differences between the constipation group and healthy controls (p = 0.017 for unweighted and p = 0.027 for weighted). The abundance of the phylum Bacteroidetes was significantly higher in the constipation group. The abundance of the genera Streptococcus, Fusobacterium, Comamonas, and Alistipes was significantly higher in the constipation group. The abundance of the genera Acinetobacter, Oscillospilla, Mucispirillum, Propinibacterium, and Anaerotruncus was significantly lower in the constipation group. In the constipation group, the proportion of genes responsible for sulfur metabolism, selenocompound metabolism, sulfur relay system was significantly higher and the proportion of d-arginine and d-ornithine metabolism and flavonoid biosynthesis was significantly lower. In conclusion, we identified differences of the mucosa-associated microbiome between Japanese patients with functional constipation and healthy controls. The mucosa-associated microbiome of functional constipation was characterized by higher levels of Bacteroidetes (Alistipes).
Author Inatomi, Osamu
Naito, Yuji
Inoue, Ryo
Andoh, Akira
Morishima, So
Imai, Takayuki
Nishida, Atsushi
Kawahara, Masahiro
Sugitani, Yoshihiko
Author_xml – sequence: 1
  fullname: Inoue, Ryo
  organization: Laboratory of Animal Science, Department of Applied Biological Sciences, Faculty of Agriculture, Setsunan University
– sequence: 1
  fullname: Inatomi, Osamu
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Andoh, Akira
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Morishima, So
  organization: Laboratory of Animal Science, Department of Applied Biological Sciences, Faculty of Agriculture, Setsunan University
– sequence: 1
  fullname: Sugitani, Yoshihiko
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Imai, Takayuki
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Nishida, Atsushi
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Kawahara, Masahiro
  organization: Department of Medicine, Shiga University of Medical Science
– sequence: 1
  fullname: Naito, Yuji
  organization: Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33879972$$D View this record in MEDLINE/PubMed
BookMark eNp9kcFu1DAQhi1URLeFCw-AInFBVClO7HjtCwJVtICKkBCcLWcy2fUqsdPYoerb4zTtAhXiYh_mm9E_3xyRA-cdEvK8oKesEPzNDmp3WtJcsUdkVUhJ84pKcUBWVBVlTilVh-QohB2lXFSCPyGHjMm1UutyRb59mcAHk5sQPFgTsck2U8x6C6Ovre8xsy77bAbjMGA2mGjRxZBd27jN2slBtN6ZLgPvQrRz2bun5HFruoDP7v5j8uP8w_ezj_nl14tPZ-8vc6jUOuZrJVrDGVZGgARRM0nrupJAGzQKa2Sy4cC5anghygJalEwi51CVgBLahh2Tk2Xu5AZzc226Tg-j7c14owuqZzN6NqNLqhVL9NuFHqa6xwbSGqP53eGN1X9XnN3qjf-pZbJGaZUGvLobMPqrCUPUvQ2AXZfU-Cnosko5Sy7kjL58gO78NCZPieKqoowzLhP14s9E-yj3x0kAXYB0ixBGbDXYeKs4BbTdv7d8_aDlv0reLfAuRLPBPWrGaKHDBRVSl7fP3LIvwdaMGh37BSV7yqc
CitedBy_id crossref_primary_10_1097_MD_0000000000034703
crossref_primary_10_1016_j_fbio_2023_103555
crossref_primary_10_1002_nau_25480
crossref_primary_10_3390_nu15071779
crossref_primary_10_3389_fgene_2022_812828
crossref_primary_10_3390_ijms26052079
crossref_primary_10_1186_s12876_024_03306_8
crossref_primary_10_3164_jcbn_24_56
crossref_primary_10_3389_fmicb_2022_1047121
crossref_primary_10_1016_j_biopha_2021_112087
crossref_primary_10_1186_s12866_023_02880_3
crossref_primary_10_1371_journal_pone_0311799
crossref_primary_10_1002_jgh3_12803
crossref_primary_10_3390_ijms252312810
crossref_primary_10_1080_19490976_2023_2197837
Cites_doi 10.1007/s00535-015-1064-1
10.3164/jcbn.18-84
10.1038/nbt.2676
10.1111/j.1365-2982.2011.01803.x
10.1038/nrgastro.2015.46
10.1093/nar/gkt1076
10.1038/nmeth.f.303
10.3389/fmed.2019.00019
10.1371/journal.pone.0061217
10.1099/ijs.0.014571-0
10.1097/MIB.0000000000000684
10.1128/AEM.03006-05
10.1093/bioinformatics/btq461
10.1007/s00535-017-1384-4
10.1186/s13030-018-0131-2
10.1080/09168451.2016.1222267
10.1152/physiolgenomics.00082.2014
10.1038/nrgastro.2012.85
10.1038/s41598-020-57468-y
10.1007/s00535-014-0953-z
10.1080/19490976.2015.1044711
10.1159/000496102
10.7717/peerj.2584
10.1093/bioinformatics/btu494
10.1016/j.bbr.2014.07.027
10.1053/j.gastro.2014.02.009
10.1159/000504090
10.1186/gb-2011-12-6-r60
10.1007/s00535-019-01611-8
10.1093/dnares/dsw002
10.1053/j.gastro.2016.02.031
10.1053/j.gastro.2015.10.005
10.1136/gutjnl-2015-309618
10.1097/MIB.0000000000000215
10.1038/nrgastro.2012.144
10.1016/j.anaerobe.2011.04.002
ContentType Journal Article
Copyright 2021 JCBN
Copyright © 2021 JCBNCopyright © 2021 JCBN.
2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright © 2021 JCBN Copyright © 2021 JCBN 2021
Copyright_xml – notice: 2021 JCBN
– notice: Copyright © 2021 JCBNCopyright © 2021 JCBN.
– notice: 2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Copyright © 2021 JCBN Copyright © 2021 JCBN 2021
DBID AAYXX
CITATION
NPM
7QL
7QP
7TK
7U9
C1K
H94
K9.
NAPCQ
7X8
5PM
ADTOC
UNPAY
DOI 10.3164/jcbn.20-93
DatabaseName CrossRef
PubMed
Bacteriology Abstracts (Microbiology B)
Calcium & Calcified Tissue Abstracts
Neurosciences Abstracts
Virology and AIDS Abstracts
Environmental Sciences and Pollution Management
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Premium
MEDLINE - Academic
PubMed Central (Full Participant titles)
Unpaywall for CDI: Periodical Content
Unpaywall
DatabaseTitle CrossRef
PubMed
Nursing & Allied Health Premium
Virology and AIDS Abstracts
Bacteriology Abstracts (Microbiology B)
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
Calcium & Calcified Tissue Abstracts
Neurosciences Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList Nursing & Allied Health Premium

PubMed

MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Diet & Clinical Nutrition
EISSN 1880-5086
EndPage 192
ExternalDocumentID 10.3164/jcbn.20-93
PMC8046005
33879972
10_3164_jcbn_20_93
article_jcbn_68_2_68_20_93_article_char_en
Genre Journal Article
GroupedDBID ---
29K
2WC
5GY
ACGFO
ACPRK
ADBBV
AENEX
AFRAH
AHMBA
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
CS3
D-I
DIK
DU5
E3Z
F5P
GX1
HH5
HYE
JSF
JSH
KQ8
M48
O5R
O5S
OK1
P6G
PQQKQ
RJT
RPM
RZJ
TR2
AAYXX
CITATION
.GJ
ADRAZ
NPM
TKC
7QL
7QP
7TK
7U9
C1K
H94
K9.
NAPCQ
7X8
5PM
ADTOC
UNPAY
ID FETCH-LOGICAL-c597t-796fa43e5a6c8c6b380bb58c0dea9ebe38d4c449d41621cfe838e44c52ce8cfd3
IEDL.DBID M48
ISSN 0912-0009
1880-5086
IngestDate Sun Oct 26 04:17:23 EDT 2025
Tue Sep 30 16:39:56 EDT 2025
Fri Jul 11 15:12:24 EDT 2025
Tue Oct 07 06:22:56 EDT 2025
Thu Jan 02 22:37:09 EST 2025
Thu Apr 24 23:07:47 EDT 2025
Tue Jul 01 00:55:45 EDT 2025
Wed Sep 03 06:31:02 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords constipation
microbiota
butyrate
Language English
License https://creativecommons.org/licenses/by-nc-nd/4.0
Copyright © 2021 JCBNCopyright © 2021 JCBN.
cc-by-nc-nd
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c597t-796fa43e5a6c8c6b380bb58c0dea9ebe38d4c449d41621cfe838e44c52ce8cfd3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://proxy.k.utb.cz/login?url=https://www.jstage.jst.go.jp/article/jcbn/68/2/68_20-93/_pdf
PMID 33879972
PQID 2495034348
PQPubID 1996339
PageCount 6
ParticipantIDs unpaywall_primary_10_3164_jcbn_20_93
pubmedcentral_primary_oai_pubmedcentral_nih_gov_8046005
proquest_miscellaneous_2516224685
proquest_journals_2495034348
pubmed_primary_33879972
crossref_citationtrail_10_3164_jcbn_20_93
crossref_primary_10_3164_jcbn_20_93
jstage_primary_article_jcbn_68_2_68_20_93_article_char_en
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-03-01
PublicationDateYYYYMMDD 2021-03-01
PublicationDate_xml – month: 03
  year: 2021
  text: 2021-03-01
  day: 01
PublicationDecade 2020
PublicationPlace Japan
PublicationPlace_xml – name: Japan
– name: Gifu
– name: Kyoto, Japan
PublicationTitle Journal of Clinical Biochemistry and Nutrition
PublicationTitleAlternate J. Clin. Biochem. Nutr.
PublicationYear 2021
Publisher SOCIETY FOR FREE RADICAL RESEARCH JAPAN
Japan Science and Technology Agency
the Society for Free Radical Research Japan
Publisher_xml – name: SOCIETY FOR FREE RADICAL RESEARCH JAPAN
– name: Japan Science and Technology Agency
– name: the Society for Free Radical Research Japan
References 29 Parks DH, Tyson GW, Hugenholtz P, Beiko RG. STAMP: statistical analysis of taxonomic and functional profiles. Bioinformatics 2014; 30: 3123–3124.
2 Vazquez Roque M, Bouras EP. Epidemiology and management of chronic constipation in elderly patients. Clin Interv Aging 2015; 10: 919–930.
22 Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010; 26: 2460–2461.
13 Ringel Y, Maharshak N, Ringel-Kulka T, Wolber EA, Sartor RB, Carroll IM. High throughput sequencing reveals distinct microbial populations within the mucosal and luminal niches in healthy individuals. Gut Microbes 2015; 6: 173–181.
10 Parthasarathy G, Chen J, Chen X, et al. Relationship between microbiota of the colonic mucosa vs feces and symptoms, colonic transit, and methane production in female patients with chronic constipation. Gastroenterology 2016; 150: 367–379.e1.
20 Inoue R, Sakaue Y, Sawai C, et al. A preliminary investigation on the relationship between gut microbiota and gene expressions in peripheral mononuclear cells of infants with autism spectrum disorders. Biosci Biotechnol Biochem 2016; 80: 2450–2458.
15 Kashiwagi S, Naito Y, Inoue R, et al. Mucosa-associated microbiota in the gastrointestinal tract of healthy Japanese subjects. Digestion 2020; 101: 107–120.
23 Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 2016; 4: e2584.
31 Forbes JD, Van Domselaar G, Bernstein CN. Microbiome survey of the inflamed and noninflamed gut at different compartments within the gastrointestinal tract of inflammatory bowel disease patients. Inflamm Bowel Dis 2016; 22: 817–825.
1 Mearin F, Lacy BE, Chang L, et al. Bowel disorders. Gastroenterology 2016; 150: 1393–1407.
8 Kostic AD, Xavier RJ, Gevers D. The microbiome in inflammatory bowel disease: current status and the future ahead. Gastroenterology 2014; 146: 1489–1499.
12 Vandeputte D, Falony G, Vieira-Silva S, Tito RY, Joossens M, Raes J. Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut 2016; 65: 57–62.
33 Zhu L, Liu W, Alkhouri R, et al. Structural changes in the gut microbiome of constipated patients. Physiol Genomics 2014; 46: 679–686.
11 Sundin J, Aziz I, Nordlander S, et al. Evidence of altered mucosa-associated and fecal microbiota composition in patients with irritable bowel syndrome. Sci Rep 2020; 10: 593.
6 Goldsmith JR, Sartor RB. The role of diet on intestinal microbiota metabolism: downstream impacts on host immune function and health, and therapeutic implications. J Gastroenterol 2014; 49: 785–798.
5 Rautava S, Luoto R, Salminen S, Isolauri E. Microbial contact during pregnancy, intestinal colonization and human disease. Nat Rev Gastroenterol Hepatol 2012; 9: 565–576.
32 Parkes GC, Rayment NB, Hudspith BN, et al. Distinct microbial populations exist in the mucosa-associated microbiota of sub-groups of irritable bowel syndrome. Neurogastroenterol Motil 2012; 24: 31–39.
30 Ohkusa T, Koido S, Nishikawa Y, Sato N. Gut microbiota and chronic constipation: a review and update. Front Med (Lausanne) 2019; 6: 19.
27 Langille MG, Zaneveld J, Caporaso JG, et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol 2013; 31: 814–821.
21 Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7: 335–336.
19 Kawada Y, Naito Y, Andoh A, Ozeki M, Inoue R. Effect of storage and DNA extraction method on 16S rRNA-profiled fecal microbiota in Japanese adults. J Clin Biochem Nutr 2019; 64: 106–111.
35 Nagai F, Morotomi M, Watanabe Y, Sakon H, Tanaka R. Alistipes indistinctus sp. nov. and Odoribacter laneus sp. nov., common members of the human intestinal microbiota isolated from faeces. Int J Syst Evol Microbiol 2010; 60 (Pt 6): 1296–1302.
3 Kawamura Y, Yamamoto S, Funaki Y, et al. Internet survey on the actual situation of constipation in the Japanese population under 70 years old: focus on functional constipation and constipation-predominant irritable bowel syndrome. J Gastroenterol 2020; 55: 27–38.
14 Sartor RB. Gut microbiota: optimal sampling of the intestinal microbiota for research. Nat Rev Gastroenterol Hepatol 2015; 12: 253–254.
37 Carbonero F, Benefiel AC, Gaskins HR. Contributions of the microbial hydrogen economy to colonic homeostasis. Nat Rev Gastroenterol Hepatol 2012; 9: 504–518.
16 Fukui A, Takagi T, Naito Y, et al. Higher levels of streptococcus in upper gastrointestinal mucosa associated with symptoms in patients with functional dyspepsia. Digestion 2020; 101: 38–45.
18 Nishijima S, Suda W, Oshima K, et al. The gut microbiome of healthy Japanese and its microbial and functional uniqueness. DNA Res 2016; 23: 125–133.
25 McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 2013; 8: e61217.
4 Kosako M, Akiho H, Miwa H, Kanazawa M, Fukudo S. Impact of symptoms by gender and age in Japanese subjects with irritable bowel syndrome with constipation (IBS-C): a large population-based internet survey. Biopsychosoc Med 2018; 12: 12.
9 Li J, Butcher J, Mack D, Stintzi A. Functional impacts of the intestinal microbiome in the pathogenesis of inflammatory bowel disease. Inflamm Bowel Dis 2015; 21: 139–153.
36 O'Mahony SM, Clarke G, Borre YE, Dinan TG, Cryan JF. Serotonin, tryptophan metabolism and the brain-gut-microbiome axis. Behav Brain Res 2015; 277: 32–48.
17 Nishino K, Nishida A, Inoue R, et al. Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease. J Gastroenterol 2018; 53: 95–106.
7 Sheehan D, Moran C, Shanahan F. The microbiota in inflammatory bowel disease. J Gastroenterol 2015; 50: 495–507.
24 DeSantis TZ, Hugenholtz P, Larsen N, et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 2006; 72: 5069–5072.
28 Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M. Data, information, knowledge and principle: back to metabolism in KEGG. Nucleic Acids Res 2014; 42: D199–D205.
26 Segata N, Izard J, Waldron L, et al. Metagenomic biomarker discovery and explanation. Genome Biol 2011; 12: R60.
34 Tyrrell KL, Warren YA, Citron DM, Goldstein EJC. Re-assessment of phenotypic identifications of Bacteroides putredinis to Alistipes species using molecular methods. Anaerobe 2011; 17: 130–134.
22
23
24
25
26
27
28
29
30
31
10
32
11
33
12
34
13
35
14
36
15
37
16
17
18
19
1
2
3
4
5
6
7
8
9
20
21
References_xml – reference: 22 Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010; 26: 2460–2461.
– reference: 33 Zhu L, Liu W, Alkhouri R, et al. Structural changes in the gut microbiome of constipated patients. Physiol Genomics 2014; 46: 679–686.
– reference: 29 Parks DH, Tyson GW, Hugenholtz P, Beiko RG. STAMP: statistical analysis of taxonomic and functional profiles. Bioinformatics 2014; 30: 3123–3124.
– reference: 8 Kostic AD, Xavier RJ, Gevers D. The microbiome in inflammatory bowel disease: current status and the future ahead. Gastroenterology 2014; 146: 1489–1499.
– reference: 17 Nishino K, Nishida A, Inoue R, et al. Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease. J Gastroenterol 2018; 53: 95–106.
– reference: 19 Kawada Y, Naito Y, Andoh A, Ozeki M, Inoue R. Effect of storage and DNA extraction method on 16S rRNA-profiled fecal microbiota in Japanese adults. J Clin Biochem Nutr 2019; 64: 106–111.
– reference: 30 Ohkusa T, Koido S, Nishikawa Y, Sato N. Gut microbiota and chronic constipation: a review and update. Front Med (Lausanne) 2019; 6: 19.
– reference: 31 Forbes JD, Van Domselaar G, Bernstein CN. Microbiome survey of the inflamed and noninflamed gut at different compartments within the gastrointestinal tract of inflammatory bowel disease patients. Inflamm Bowel Dis 2016; 22: 817–825.
– reference: 36 O'Mahony SM, Clarke G, Borre YE, Dinan TG, Cryan JF. Serotonin, tryptophan metabolism and the brain-gut-microbiome axis. Behav Brain Res 2015; 277: 32–48.
– reference: 2 Vazquez Roque M, Bouras EP. Epidemiology and management of chronic constipation in elderly patients. Clin Interv Aging 2015; 10: 919–930.
– reference: 5 Rautava S, Luoto R, Salminen S, Isolauri E. Microbial contact during pregnancy, intestinal colonization and human disease. Nat Rev Gastroenterol Hepatol 2012; 9: 565–576.
– reference: 12 Vandeputte D, Falony G, Vieira-Silva S, Tito RY, Joossens M, Raes J. Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut 2016; 65: 57–62.
– reference: 16 Fukui A, Takagi T, Naito Y, et al. Higher levels of streptococcus in upper gastrointestinal mucosa associated with symptoms in patients with functional dyspepsia. Digestion 2020; 101: 38–45.
– reference: 11 Sundin J, Aziz I, Nordlander S, et al. Evidence of altered mucosa-associated and fecal microbiota composition in patients with irritable bowel syndrome. Sci Rep 2020; 10: 593.
– reference: 37 Carbonero F, Benefiel AC, Gaskins HR. Contributions of the microbial hydrogen economy to colonic homeostasis. Nat Rev Gastroenterol Hepatol 2012; 9: 504–518.
– reference: 13 Ringel Y, Maharshak N, Ringel-Kulka T, Wolber EA, Sartor RB, Carroll IM. High throughput sequencing reveals distinct microbial populations within the mucosal and luminal niches in healthy individuals. Gut Microbes 2015; 6: 173–181.
– reference: 14 Sartor RB. Gut microbiota: optimal sampling of the intestinal microbiota for research. Nat Rev Gastroenterol Hepatol 2015; 12: 253–254.
– reference: 24 DeSantis TZ, Hugenholtz P, Larsen N, et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 2006; 72: 5069–5072.
– reference: 7 Sheehan D, Moran C, Shanahan F. The microbiota in inflammatory bowel disease. J Gastroenterol 2015; 50: 495–507.
– reference: 9 Li J, Butcher J, Mack D, Stintzi A. Functional impacts of the intestinal microbiome in the pathogenesis of inflammatory bowel disease. Inflamm Bowel Dis 2015; 21: 139–153.
– reference: 23 Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 2016; 4: e2584.
– reference: 26 Segata N, Izard J, Waldron L, et al. Metagenomic biomarker discovery and explanation. Genome Biol 2011; 12: R60.
– reference: 4 Kosako M, Akiho H, Miwa H, Kanazawa M, Fukudo S. Impact of symptoms by gender and age in Japanese subjects with irritable bowel syndrome with constipation (IBS-C): a large population-based internet survey. Biopsychosoc Med 2018; 12: 12.
– reference: 28 Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M. Data, information, knowledge and principle: back to metabolism in KEGG. Nucleic Acids Res 2014; 42: D199–D205.
– reference: 20 Inoue R, Sakaue Y, Sawai C, et al. A preliminary investigation on the relationship between gut microbiota and gene expressions in peripheral mononuclear cells of infants with autism spectrum disorders. Biosci Biotechnol Biochem 2016; 80: 2450–2458.
– reference: 27 Langille MG, Zaneveld J, Caporaso JG, et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol 2013; 31: 814–821.
– reference: 34 Tyrrell KL, Warren YA, Citron DM, Goldstein EJC. Re-assessment of phenotypic identifications of Bacteroides putredinis to Alistipes species using molecular methods. Anaerobe 2011; 17: 130–134.
– reference: 18 Nishijima S, Suda W, Oshima K, et al. The gut microbiome of healthy Japanese and its microbial and functional uniqueness. DNA Res 2016; 23: 125–133.
– reference: 10 Parthasarathy G, Chen J, Chen X, et al. Relationship between microbiota of the colonic mucosa vs feces and symptoms, colonic transit, and methane production in female patients with chronic constipation. Gastroenterology 2016; 150: 367–379.e1.
– reference: 21 Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7: 335–336.
– reference: 35 Nagai F, Morotomi M, Watanabe Y, Sakon H, Tanaka R. Alistipes indistinctus sp. nov. and Odoribacter laneus sp. nov., common members of the human intestinal microbiota isolated from faeces. Int J Syst Evol Microbiol 2010; 60 (Pt 6): 1296–1302.
– reference: 1 Mearin F, Lacy BE, Chang L, et al. Bowel disorders. Gastroenterology 2016; 150: 1393–1407.
– reference: 6 Goldsmith JR, Sartor RB. The role of diet on intestinal microbiota metabolism: downstream impacts on host immune function and health, and therapeutic implications. J Gastroenterol 2014; 49: 785–798.
– reference: 15 Kashiwagi S, Naito Y, Inoue R, et al. Mucosa-associated microbiota in the gastrointestinal tract of healthy Japanese subjects. Digestion 2020; 101: 107–120.
– reference: 25 McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 2013; 8: e61217.
– reference: 3 Kawamura Y, Yamamoto S, Funaki Y, et al. Internet survey on the actual situation of constipation in the Japanese population under 70 years old: focus on functional constipation and constipation-predominant irritable bowel syndrome. J Gastroenterol 2020; 55: 27–38.
– reference: 32 Parkes GC, Rayment NB, Hudspith BN, et al. Distinct microbial populations exist in the mucosa-associated microbiota of sub-groups of irritable bowel syndrome. Neurogastroenterol Motil 2012; 24: 31–39.
– ident: 2
– ident: 7
  doi: 10.1007/s00535-015-1064-1
– ident: 19
  doi: 10.3164/jcbn.18-84
– ident: 27
  doi: 10.1038/nbt.2676
– ident: 32
  doi: 10.1111/j.1365-2982.2011.01803.x
– ident: 14
  doi: 10.1038/nrgastro.2015.46
– ident: 28
  doi: 10.1093/nar/gkt1076
– ident: 21
  doi: 10.1038/nmeth.f.303
– ident: 30
  doi: 10.3389/fmed.2019.00019
– ident: 25
  doi: 10.1371/journal.pone.0061217
– ident: 35
  doi: 10.1099/ijs.0.014571-0
– ident: 31
  doi: 10.1097/MIB.0000000000000684
– ident: 24
  doi: 10.1128/AEM.03006-05
– ident: 22
  doi: 10.1093/bioinformatics/btq461
– ident: 17
  doi: 10.1007/s00535-017-1384-4
– ident: 4
  doi: 10.1186/s13030-018-0131-2
– ident: 20
  doi: 10.1080/09168451.2016.1222267
– ident: 33
  doi: 10.1152/physiolgenomics.00082.2014
– ident: 37
  doi: 10.1038/nrgastro.2012.85
– ident: 11
  doi: 10.1038/s41598-020-57468-y
– ident: 6
  doi: 10.1007/s00535-014-0953-z
– ident: 13
  doi: 10.1080/19490976.2015.1044711
– ident: 15
  doi: 10.1159/000496102
– ident: 23
  doi: 10.7717/peerj.2584
– ident: 29
  doi: 10.1093/bioinformatics/btu494
– ident: 36
  doi: 10.1016/j.bbr.2014.07.027
– ident: 8
  doi: 10.1053/j.gastro.2014.02.009
– ident: 16
  doi: 10.1159/000504090
– ident: 26
  doi: 10.1186/gb-2011-12-6-r60
– ident: 3
  doi: 10.1007/s00535-019-01611-8
– ident: 18
  doi: 10.1093/dnares/dsw002
– ident: 1
  doi: 10.1053/j.gastro.2016.02.031
– ident: 10
  doi: 10.1053/j.gastro.2015.10.005
– ident: 12
  doi: 10.1136/gutjnl-2015-309618
– ident: 9
  doi: 10.1097/MIB.0000000000000215
– ident: 5
  doi: 10.1038/nrgastro.2012.144
– ident: 34
  doi: 10.1016/j.anaerobe.2011.04.002
SSID ssj0046564
Score 2.344996
Snippet The number of patients with chronic constipation is increasing in Japan. We investigated the gut mucosa-associated microbiome in Japanese patients with...
SourceID unpaywall
pubmedcentral
proquest
pubmed
crossref
jstage
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 187
SubjectTerms Abundance
Alistipes
Arginine
Bacteroidetes
Biosynthesis
butyrate
Constipation
Digestive system
Flavonoids
Gene sequencing
Gut microbiota
Intestinal microflora
Metabolism
Microbiomes
Microbiota
Mucosa
Original
Ornithine
Relay systems
rRNA 16S
Sulfur
SummonAdditionalLinks – databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED-NDgEvfAwYgYGMmJB4SJrGH3UkXiZgmia1QohK4wFFjuOUdl1asVQI_nruEjeiMCHEi_PgkyPfne2z_bufAQ6LfGCS2LpQKGVDIaQONRc8TEriMzemTHI6hxyN1clEnJ7Jsx14vcmFIVjlHOOiqaNPNF1G81XfK7E_t3nVV7qfYJHhtifl_WxVlNdgV0mMxHuwOxm_P_rU0OsR4iBuEB7EOBZiHKJadlKOG4SmpahpYWs9ut7--qpo80_Q5M11tTLfv5nF4pcV6fgOfN70pQWinEfrOo_sj99oHv-3s3fhtg9V2VEreQ92XLUHwduZq9lL5vlEF2y8ofPfgxsjf1F_Hz6MCAlvQuOt7wo2XdfsYtbyPl04NqvYKS7U9AAm8-Sul4xOhRktte0JJbMUvXrQ9wOYHL_7-OYk9M83hBZ3KXU4TFVpBHfSKKutyrmO81xqGxfOpOg7XBfCCpEWGBMmA1s6zbUTwsrEOm3Lgj-EXrWs3CNgqeODUuFcSMksUiapUdLEokh56mJh4wBebYyYWc9tTk9sLDLc45DBM9ImajFLeQAvOtlVy-hxpVTaWqaT8XZpZcgkTUGyXRUlyuFsE8DBxn0yPyNcZvTGd4yjQOgAnnfVOJbpggaVvVyjjERNJEJpGcB-623d7znXQ0pyDmC45YedAPGEb9dUsy8NX7imy-8Y2zzsPPYvPX_8b2JP4FZC8J4GjncAvfrr2j3F-KzOn_lh-BOkmz10
  priority: 102
  providerName: Unpaywall
Title Mucosa-associated gut microbiome in Japanese patients with functional constipation
URI https://www.jstage.jst.go.jp/article/jcbn/68/2/68_20-93/_article/-char/en
https://www.ncbi.nlm.nih.gov/pubmed/33879972
https://www.proquest.com/docview/2495034348
https://www.proquest.com/docview/2516224685
https://pubmed.ncbi.nlm.nih.gov/PMC8046005
https://www.jstage.jst.go.jp/article/jcbn/68/2/68_20-93/_pdf
UnpaywallVersion publishedVersion
Volume 68
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
ispartofPNX Journal of Clinical Biochemistry and Nutrition, 2021/03/01, Vol.68(2), pp.187-192
journalDatabaseRights – providerCode: PRVFSB
  databaseName: Free Full-Text Journals in Chemistry
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: HH5
  dateStart: 19860101
  isFulltext: true
  titleUrlDefault: http://abc-chemistry.org/
  providerName: ABC ChemistRy
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: KQ8
  dateStart: 19860101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: KQ8
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVBFR
  databaseName: Free Medical Journals
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: DIK
  dateStart: 20040101
  isFulltext: true
  titleUrlDefault: http://www.freemedicaljournals.com
  providerName: Flying Publisher
– providerCode: PRVFQY
  databaseName: GFMER Free Medical Journals
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: GX1
  dateStart: 0
  isFulltext: true
  titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php
  providerName: Geneva Foundation for Medical Education and Research
– providerCode: PRVAQN
  databaseName: PubMed Central
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: RPM
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/
  providerName: National Library of Medicine
– providerCode: PRVFZP
  databaseName: Scholars Portal Journals: Open Access
  customDbUrl:
  eissn: 1880-5086
  dateEnd: 20250930
  omitProxy: true
  ssIdentifier: ssj0046564
  issn: 1880-5086
  databaseCode: M48
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: http://journals.scholarsportal.info
  providerName: Scholars Portal
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB71gaAXBOXRQFkZUVXiYMjajtc-IFQBVVW0K0CsVE6R4zhlqzTdtllB_z2exIlYWPWSi0dOMg_P2DP-BmAvz4aGxdZRIaWlQiSKKi44ZQXimRtTsAzPIccTeTQVxyfJyRp0ReyBgdcrt3bYT2p6Vb75fXnz3hv8u2bHKcXbM5shkinVfH9-SbGhFCZeQ3eNddj0TktjV4ex6BMMiBLWIEtprEzwcUaLXPrPdEu-6s6ZD9dO3apI9P-CynuLam5ufpmy_MtbHT6A-yHMJAetXjyENVdtQ_Rx5mqyTwIWaEkmHRT_NtwdhyT7I_g2xip2Q02QnMvJ6aIm57MWs-nckVlFjr2TxeaVJACzXhM80SXoJtvTRWIx8gwF249hevjp-4cjGlovUOt3GDUdaVkYwV1ipFVWZlzFWZYoG-fOaC93rnJhhdC5j-fY0BZOceWEsAmzTtki509go7qo3A4Q7fiwkH4dw4soScK0kYmJRa65drGwcQSvOyanNuCSY3uMMvX7ExRIigJJWZxqHsGrnnbeonGspNKtrHqaYIUtjVQpax5I2w_hJTe_UkSw24k37ZQxxf7csddgoSJ42Q97O8Tkimf2xcLTJJ4TTEiVRPC01Yb-9ZyrEV5QjmC0pCc9AWJ8L49Us58N1rfCxHXs59zrNeqWP392-9c_hy2GJTlNCd0ubNRXC_fCx1R1NoD1z1_VoLGRAWxOJ18OfvwB8Aknkg
linkProvider Scholars Portal
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED-NDgEvfAwYgYGMmJB4SJrGH3UkXiZgmia1QohK4wFFjuOUdl1asVQI_nruEjeiMCHEi_PgkyPfne2z_bufAQ6LfGCS2LpQKGVDIaQONRc8TEriMzemTHI6hxyN1clEnJ7Jsx14vcmFIVjlHOOiqaNPNF1G81XfK7E_t3nVV7qfYJHhtifl_WxVlNdgV0mMxHuwOxm_P_rU0OsR4iBuEB7EOBZiHKJadlKOG4SmpahpYWs9ut7--qpo80_Q5M11tTLfv5nF4pcV6fgOfN70pQWinEfrOo_sj99oHv-3s3fhtg9V2VEreQ92XLUHwduZq9lL5vlEF2y8ofPfgxsjf1F_Hz6MCAlvQuOt7wo2XdfsYtbyPl04NqvYKS7U9AAm8-Sul4xOhRktte0JJbMUvXrQ9wOYHL_7-OYk9M83hBZ3KXU4TFVpBHfSKKutyrmO81xqGxfOpOg7XBfCCpEWGBMmA1s6zbUTwsrEOm3Lgj-EXrWs3CNgqeODUuFcSMksUiapUdLEokh56mJh4wBebYyYWc9tTk9sLDLc45DBM9ImajFLeQAvOtlVy-hxpVTaWqaT8XZpZcgkTUGyXRUlyuFsE8DBxn0yPyNcZvTGd4yjQOgAnnfVOJbpggaVvVyjjERNJEJpGcB-623d7znXQ0pyDmC45YedAPGEb9dUsy8NX7imy-8Y2zzsPPYvPX_8b2JP4FZC8J4GjncAvfrr2j3F-KzOn_lh-BOkmz10
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Mucosa-associated+gut+microbiome+in+Japanese+patients+with+functional+constipation&rft.jtitle=Journal+of+clinical+biochemistry+and+nutrition&rft.au=Sugitani%2C+Yoshihiko&rft.au=Inoue%2C+Ryo&rft.au=Inatomi%2C+Osamu&rft.au=Nishida%2C+Atsushi&rft.date=2021-03-01&rft.pub=Japan+Science+and+Technology+Agency&rft.issn=0912-0009&rft.eissn=1880-5086&rft.volume=68&rft.issue=2&rft.spage=187&rft_id=info:doi/10.3164%2Fjcbn.20-93&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0912-0009&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0912-0009&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0912-0009&client=summon