The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Meta‐analysis of the human gut microbiome from urbanized and pre‐agricultural populations
Abstract
Summary: Metagenomic studies of the human gut microbiome have only recently begun to explore the differences in taxonomic composition between subjects from diverse geographical origins. Here, we compared taxonomy, resistome and functional metabolic properties of publicly available shotgun datasets of human fecal samples collected from different geographical regions (Europe, North America, Asia and Oceania). Such datasets encompassed gut microbiota information corresponding to 13 developed/industrialized societies, as well as two traditional hunter‐gatherer, pre‐agricultural communities (Tanzanian and Peruvian individuals). Assessment of the retrieved taxonomic profiles allowed the most updated reconstruction of the global core‐microbiome as based on currently available data, as well as the identification and targeted genome reconstruction of bacterial taxa that appear to have been lost and/or acquired during urbanization/industrialization. Functional characterization of these metagenomic datasets indicates that the urbanization/industrialization process which occurred in recent human history has shaped the gut microbiota through the acquisition and/or loss of specific gut microbes, thereby potentially impacting on the overall functionality of the gut microbiome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029
Global nutrition transition and the pandemic of obesity in developing countries
Popkin, B. M., Adair, L. S., & Ng, S. W. (2012) · Nutrition Reviews · doi:10.1111/j.1753-4887.2011.00456.x · Cited by 4,313
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
MetaPhlAn2 for enhanced metagenomic taxonomic profiling
Truong, D. T., Franzosa, E. A., Tickle, T. L., Scholz, M., Weingart, G., Pasolli, E., Tett, A., Huttenhower, C., & Segata, N. (2015) · Nature Methods · doi:10.1038/nmeth.3589 · Cited by 2,185
Quail, M., Smith, M. E., Coupland, P., Otto, T. D., Harris, S. R., Connor, T. R., Bertoni, A., Swerdlow, H. P., & Gu, Y. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-341 · Cited by 2,031 · cited 2×
“Literature searches allowed us to exclusively select shotgun metagenomic data generated by Illumina technology, i.e. the (currently) most preferred and reliable technology to perform shotgun metagenomics studies (Quail et al., 2012).”
BackgroundGut microbiome development along the colorectal adenoma-carcinoma sequence
Feng, Q., Liang, S., Jia, H., Stadlmayr, A., Tang, L., Lan, Z., Zhang, D., Xia, H., Xu, X., Jie, Z., et al. (2015) · Nature Communications · doi:10.1038/ncomms7528 · Cited by 1,506
Cited by
Song, Z., Cai, Y., Lao, X., Wang, X., Lin, X., Cui, Y., Kalavagunta, P. K., Liao, J., Jin, L., Shang, J., et al. (2019) · Microbiome · doi:10.1186/s40168-019-0628-3 · Cited by 505
Meta-analysis of effects of exclusive breastfeeding on infant gut microbiota across populations
Ho, N. T., Li, F., Lee-Sarwar, K. A., Tun, H. M., Brown, B. P., Pannaraj, P. S., Bender, J. M., Azad, M. B., Thompson, A. L., Weiss, S. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06473-x · Cited by 466
Dietary Fiber Intake and Gut Microbiota in Human Health
Fu, J., Zheng, Y., Gao, Y., & Xu, W. (2022) · Microorganisms · doi:10.3390/microorganisms10122507 · Cited by 394
Precup, G., & Vodnar, D.-C. (2019) · British Journal of Nutrition · doi:10.1017/s0007114519000680 · Cited by 378
The mutual interplay of gut microbiota, diet and human disease
Illiano, P., Brambilla, R., & Parolini, C. (2020) · The FEBS Journal · doi:10.1111/febs.15217 · Cited by 322
Metadata
- Authors
- Mancabelli, L., Milani, C., Lugli, G. A., Turroni, F., Ferrario, C., van Sinderen, D., & Ventura, M.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2017-02-28
- Volume
- 19
- Issue
- 4
- Pages
- 1379-1390
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2588346809
- Cited by
- 173
- References
- 15
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Meta‐analysis of the human gut microbiome from urbanized and pre‐agricultural populations. https://app.cochat.ai/papers/10.1111/1462-2920.13692
- The paper
- Mancabelli, L., Milani, C., Lugli, G. A., Turroni, F., Ferrario, C., van Sinderen, D., & Ventura, M. (2017). Meta‐analysis of the human gut microbiome from urbanized and pre‐agricultural populations. Environmental Microbiology. https://doi.org/10.1111/1462-2920.13692
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
