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....
Saved in:
| Published in | Journal of Clinical Biochemistry and Nutrition Vol. 68; no. 2; pp. 187 - 192 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| 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 Access | Get full text |
| ISSN | 0912-0009 1880-5086 1880-5086 |
| DOI | 10.3164/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 |