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High temporal and inter‐individual variation detected in the human ileal microbiota
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Summary: The diversity and temporal stability of the predominant bacteria in the human ileum was studied with the use of ileal effluent samples of seven individuals with Brooke ileostomies. The total number of bacteria within the ileal effluent was in the range of 10 7 –10 8 bacteria per gram (wet weight). The diversity of the bacteria in the ileal effluent showed marked differences compared with that in faecal samples from age‐matched healthy adults. The ileal effluent had a higher relative abundance of species within the orders Lactobacillales and Clostridiales , mainly Streptococcus bovis ‐related species, and the Veillonella group, and a lower proportion of species related to Ruminococcus gnavus , R. obeum and Bacteroides plebeius . In addition, inter‐individual differences were found, indicative of a highly personal ileal microbiota profile. Furthermore, temporal profiles showed large fluctuations per individual over a period of 9–28 days (average similarity over a period of 9 days was as low as 44%), and differences between morning and afternoon profiles were observed. Parallel cloning and sequencing efforts revealed several phylotypes that were not identified in previous studies (12 out of 65 phylotypes showed less than 97% sequence similarity with previously reported sequences). Achaea were found to be below detection limit by quantitative PCR. Overall, the results indicate that the microbiota of the human ileum is relatively unstable, less complex and consisting of different dominating phylotypes when compared with the colonic microbiota.
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Yang, H. J., Wang, P., Liu, T., Lin, L., Li, L., Kou, G., Zhou, R., Li, P., & Li, Y. (2020) · doi:10.21203/rs.3.rs-103000/v1
“With the stability of ora among individuals, colonic mucosa is a good choice for the microbiota researches [22].”
BackgroundQuigley, E. M. M. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735640991.793569646
Correlation of Human Microbiome and Immune Functioning with COVID-19 Infections: An Overview
Khatri, P., Rani, A., Pandey, R. P., & Hameed, S. (2023) · Springer eBooks · doi:10.1007/978-981-99-1463-0_11
Jangi, S. (2023) · Digestive Diseases and Sciences · doi:10.1007/s10620-023-08067-0
“The small bowel demonstrates significant intra-individual temporal dynamics, with samples exhibiting variability even within the same individual when obtained during the morning vs evening period [7].”
BackgroundOverview of the Gut Microbiota and Cardiovascular Disease
郭, 露. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.13122781
Clostridiales in the Gut Against Listeria monocytogenes Infection Through Growth Inhibition
Guo, L., Liu, Q., & Yin, X. (2023) · Foodborne Pathogens and Disease · doi:10.1089/fpd.2023.0049
“Several studies, including ours, have demonstrated that the LI has greater species richness and diversity compared to the SI (Booijink et al., 2010).”
Changes in the Gut Microbiome as Seen in Diabetes and Obesity
Barlow, G. M., Celly, S., & Mathur, R. (2023) · Springer eBooks · doi:10.1007/978-3-031-46712-7_5 · Cited by 1
Gut microbiota and diabetes: Exploring the intricate connection
Bala, L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13195-0.00018-1
Exploring the Interplay Between Gut Microflora and Parkinson’s
Swathi, M., Hazra, A., Dhanu, A. S., & Basalingappa, K. M. (2024) · Springer eBooks · doi:10.1007/978-981-99-8803-7_15
Hoogeveen, A. M. E., Moughan, P. J., Stroebinger, N., Hodgkinson, S. M., McNabb, W. C., & Montoya, C. A. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.09.028
Imran, M., & Ahmad, B. (2024) · Springer eBooks · doi:10.1007/978-981-97-6948-3_2 · Cited by 1
Ormaasen, I., Kjos, M., Simpson, M. R., Øien, T., Snipen, L. G., & Rudi, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.15.633122
The Physiological aspects of Gut Microbiota
Singh, B. P., Kasana, M., & Chauhan, N. (2025) · Asian Journal of Research in Pharmaceutical Sciences · doi:10.52711/2231-5659.2025.00039
Metadata
- Authors
- Booijink, C. C. G. M., El‐Aidy, S., Rajilić‐Stojanović, M., Heilig, H. G. H. J., Troost, F. J., Smidt, H., Kleerebezem, M., De Vos, W. M., & Zoetendal, E. G.
- Affiliations
- TiFN (NL)
- Wageningen University & Research (NL)
- Maastricht University Medical Centre (NL)
- Corresponding author
- Zoetendal, Erwin G.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2010-12
- Volume
- 12
- Issue
- 12
- Pages
- 3213-3227
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2130329894
- Cited by
- 324
- References
- 52
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 17 · 2023: 27 · 2022: 22 · 2021: 23 · 2020: 30 · 2019: 29 · 2018: 24 · 2017: 17 · 2016: 10 · 2015: 15 · 2014: 24 · 2013: 28 · 2012: 18
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- Environmental Microbiology (publishedVersion)
- PubMed (publishedVersion)
- TechnoRep (University of Belgrade – Faculty of Technology and Metallurgy) (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- ileal microbiota, ileostomy, temporal stability, interindividual variability, bacterial diversity, Lactobacillales, Clostridiales, Streptococcus bovis, Veillonella, Ruminococcus, Bacteroides plebeius, Achaea, novel phylotypes, human gut bacteria
- MeSH terms
- Adult, Aged, Bacteria, Feces, Female, Humans, Ileostomy, Ileum, Male, Middle Aged, Molecular Sequence Data, Phylogeny, Time Factors, Case-Control Studies, Polymerase Chain Reaction, Genes, rRNA, Metagenome
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