The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Current Sampling Methods for Gut Microbiota: A Call for More Precise Devices
Open accessAbstract
The development of next-generation sequencing technology has enabled researchers to explore and understand the gut microbiome from a broader and deeper perspective. However, the results of different studies on gut microbiota are highly variable even in the same disease, which makes it difficult to guide clinical diagnosis and treatment. The ideal sampling method should be non-invasive, involve little cross-contamination or bowel preparation, and collect gut microbiota at different sites. Currently, sequencing technologies are usually based on samples collected from feces, mucosal biopsy, intestinal fluid, etc. However, different parts of the gastrointestinal tract possess various physiological characteristics that are essential for particular species of living microbiota. Moreover, current sampling methods are somewhat defective. For example, fecal samples are just a proxy for intestinal microbiota, while biopsies are invasive for patients and not suitable for healthy controls. In this review, we summarize the current sampling methods and their advantages and shortcomings. New sampling technologies, such as the Brisbane Aseptic Biopsy Device and the intelligent capsule, are also mentioned to inspire the development of future precise description methods 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
Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life
Bäckhed, F., Roswall, J., Peng, Y., Feng, Q., Jia, H., Kovatcheva-Datchary, P., Li, Y., Xia, Y., Xie, H., Zhong, H., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.004 · Cited by 3,315
Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases
Lloyd-Price, J., Arze, C., Ananthakrishnan, A. N., Schirmer, M., Avila-Pacheco, J., Poon, T. W., Andrews, E., Ajami, N. J., Bonham, K. S., Brislawn, C. J., et al. (2019) · Nature · doi:10.1038/s41586-019-1237-9 · Cited by 3,143 · cited 1×
“Compared with the control group, studies of intestinal microflora in IBD patients have consistently shown changes in microflora composition and reduced overall biodiversity, for instance, an increase in facultative anaerobes and a decrease in obligate anaerobes (Shim, 2013; Lloyd-Price et al., 2019).”
ResultGut biogeography of the bacterial microbiota
Donaldson, G. P., Lee, S. M., & Mazmanian, S. K. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro3552 · Cited by 2,535
Emmert-Buck, M. R., Bonner, R. F., Smith, P. D., Chuaqui, R. F., Zhuang, Z., Goldstein, S. R., Weiss, R. A., & Liotta, L. A. (1996) · Science · doi:10.1126/science.274.5289.998 · Cited by 2,534
Zmora, N., Zilberman-Schapira, G., Suez, J., Mor, U., Dori-Bachash, M., Bashiardes, S., Kotler, E., Zur, M., Regev-Lehavi, D., Brik, R. B.-Z., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.041 · Cited by 1,695 · cited 2×
“Fecal samples could not be indicators of the composition and metagenomic function of mucosa-associated microbiota distributed among multiple sites of the intestine (Zmora et al., 2018).”
BackgroundA new genomic blueprint of the human gut microbiota
Almeida, A., Mitchell, A. L., Boland, M., Forster, S. C., Gloor, G. B., Tarkowska, A., Lawley, T. D., & Finn, R. D. (2019) · Nature · doi:10.1038/s41586-019-0965-1 · Cited by 1,314
O’Toole, P. W., & Jeffery, I. B. (2015) · Science · doi:10.1126/science.aac8469 · Cited by 1,202
Duncan, S. H., Belenguer, A., Holtrop, G., Johnstone, A. M., Flint, H. J., & Lobley, G. E. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.02340-06 · Cited by 941
The evolution of the host microbiome as an ecosystem on a leash
Foster, K. R., Schluter, J., Coyte, K. Z., & Rakoff-Nahoum, S. (2017) · Nature · doi:10.1038/nature23292 · Cited by 935
Diet and feeding pattern affect the diurnal dynamics of the gut microbiome
Zarrinpar, A., Chaix, A., Yooseph, S., & Panda, S. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.11.008 · Cited by 926
Cited by
Profiling the human intestinal environment under physiological conditions
Shalon, D., Culver, R. N., Grembi, J. A., Folz, J., Treit, P. V., Shi, H., Rosenberger, F. A., Dethlefsen, L., Meng, X., Yaffe, E., et al. (2023) · Nature · doi:10.1038/s41586-023-05989-7 · Cited by 484
Dargenio, V. N., Dargenio, C., Castellaneta, S., De Giacomo, A., Laguardia, M., Schettini, F., Francavilla, R., & Cristofori, F. (2023) · Nutrients · doi:10.3390/nu15071620 · Cited by 98
Metadata
- Authors
- Tang, Q., Jin, G., Wang, G., Liu, T., Liu, X., Wang, B., & Cao, H.
- Venue
- Frontiers in Cellular and Infection Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2020-04-09
- Volume
- 10
- Pages
- 151-151
- ISSN
- 2235-2988 (ISSN-L)
- OpenAlex
- W3015992957
- Cited by
- 455
- References
- 89
- FWCI
- 17.29
- Type
- journal article
- Language
- en
- Open access
- gold
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: Current Sampling Methods for Gut Microbiota: A Call for More Precise Devices. https://app.cochat.ai/papers/10.3389/fcimb.2020.00151
- The paper
- Tang, Q., Jin, G., Wang, G., Liu, T., Liu, X., Wang, B., & Cao, H. (2020). Current Sampling Methods for Gut Microbiota: A Call for More Precise Devices. Frontiers in Cellular and Infection Microbiology. https://doi.org/10.3389/fcimb.2020.00151
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.
