The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Chemotherapy‐driven dysbiosis in the intestinal microbiome
Open accessAbstract
Summary: Background: Chemotherapy is commonly used as myeloablative conditioning treatment to prepare patients for haematopoietic stem cell transplantation (HSCT). Chemotherapy leads to several side effects, with gastrointestinal (GI) mucositis being one of the most frequent. Current models of GI mucositis pathophysiology are generally silent on the role of the intestinal microbiome. Aim: To identify functional mechanisms by which the intestinal microbiome may play a key role in the pathophysiology of GI mucositis, we applied high‐throughput DNA‐sequencing analysis to identify microbes and microbial functions that are modulated following chemotherapy. Methods: We amplified and sequenced 16S rRNA genes from faecal samples before and after chemotherapy in 28 patients with non‐Hodgkin's lymphoma who received the same myeloablative conditioning regimen and no other concomitant therapy such as antibiotics. Results: We found that faecal samples collected after chemotherapy exhibited significant decreases in abundances of Firmicutes (P = 0.0002) and Actinobacteria (P = 0.002) and significant increases in abundances of Proteobacteria (P = 0.0002) compared to samples collected before chemotherapy. Following chemotherapy, patients had reduced capacity for nucleotide metabolism (P = 0.0001), energy metabolism (P = 0.001), metabolism of cofactors and vitamins (P = 0.006), and increased capacity for glycan metabolism (P = 0.0002), signal transduction (P = 0.0002) and xenobiotics biodegradation (P = 0.002). Conclusions: Our study identifies a severe compositional and functional imbalance in the gut microbial community associated with chemotherapy‐induced GI mucositis. The functional pathways implicated in our analysis suggest potential directions for the development of intestinal microbiome‐targeted interventions in cancer patients.
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
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Self-citationGreengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Self-citationHuman 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
Self-citationGut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Garrett, W. S., Gallini, C. A., Yatsunenko, T., Michaud, M., DuBois, A., Delaney, M. L., Punit, S., Karlsson, M., Bry, L., Glickman, J. N., et al. (2010) · Cell Host & Microbe · doi:10.1016/j.chom.2010.08.004 · Cited by 788
Bergstrom, K. S. B., Kissoon-Singh, V., Gibson, D. L., Ma, C., Montero, M., Sham, H. P., Ryz, N., Huang, T., Velcich, A., Finlay, B. B., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1000902 · Cited by 625
Burger-van Paassen, N., Vincent, A., Puiman, P. J., van der Sluis, M., Bouma, J., Boehm, G., van Goudoever, J. B., van Seuningen, I., & Renes, I. B. (2009) · Biochemical Journal · doi:10.1042/bj20082222 · Cited by 611
Secreted bioactive factors from Bifidobacterium infantis enhance epithelial cell barrier function
Ewaschuk, J. B., Diaz, H., Meddings, L., Diederichs, B., Dmytrash, A., Backer, J., Looijer-van Langen, M., & Madsen, K. L. (2008) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.90227.2008 · Cited by 590
Research works printed but not linked: 59
- 10.1200/JCO.1993.11.10.1846 · doi:10.1200/jco.1993.11.10.1846
- 10.1002/cncr.11671 · DOI · Paper page
- 10.1038/sj.bmt.1704563 · DOI
- 10.1136/gut.47.5.632 · DOI · Paper page
- 10.1038/nrc1318 · DOI · Paper page
- 10.1016/j.jinf.2014.05.018 · DOI
- 10.1111/apt.12878 · DOI · Paper page
- 10.1371/journal.ppat.1000879 · DOI · Paper page
- 10.1007/s00248-013-0355-4 · DOI · Paper page
- 10.1371/journal.pone.0002836 · DOI · Paper page
- 10.1111/j.1574-6976.2010.00251.x · DOI · Paper page
- 10.1016/j.chom.2013.08.006 · DOI · Paper page
- 10.1038/nmeth.2212 · DOI · Paper page
- 10.1073/pnas.1000087107 · DOI · Paper page
- 10.1038/ismej.2014.3 · DOI · Paper page
- 10.1186/gb-2012-13-9-r79 · DOI · Paper page
- 10.1038/ismej.2013.223 · DOI · Paper page
- 10.1016/j.chom.2014.02.005 · DOI · Paper page
- 10.1046/j.1365-2958.1997.4281787.x · DOI · Paper page
- 10.1016/j.tim.2004.09.002 · DOI · Paper page
- 10.1016/j.ijfoodmicro.2007.07.039 · DOI
- 10.1094/MPMI-18-0891 · DOI
- 10.1128/IAI.69.6.3523-3535.2001 · DOI · Paper page
- 10.1038/ismej.2014.64 · DOI · Paper page
- 10.3748/wjg.v20.i8.2051 · DOI
- 10.1016/j.cell.2014.09.022 · DOI · Paper page
- 10.1038/nature07540 · DOI · Paper page
- 10.1152/physrev.1990.70.2.567 · DOI · Paper page
- 10.1515/BC.2002.042 · DOI · Paper page
- Ashoori M, 2014, Riboflavin (vitamin B2) and oxidative stress: a review, Br J Nutr, 000, 1
- 10.1016/S1353-8020(02)00018-4 · DOI · Paper page
- 10.2174/1874312901206010259 · DOI
- 10.1155/2011/282356 · DOI
- 10.1111/j.1348-0421.2011.00398.x · DOI · Paper page
- 10.1136/gut.47.3.397 · DOI · Paper page
- 10.1038/sj.bjp.0706784 · DOI
- 10.1016/0006-2952(70)90026-2 · DOI
- Moallem SA, 2008, A study of acute and chronic anti‐nociceptive and anti‐inflammatory effects of thiamine in mice, Iran Biomed J, 12, 173
- Verhasselt V, 1950, Bacterial lipopolysaccharide stimulates the production of cytokines and the expression of costimulatory molecules by human peripheral blood dendritic cells: evidence for a soluble CD14‐dependent pathway, J Immunol, 1997, 2919
- 10.1023/B:DDAS.0000011604.45531.2c · DOI
- 10.1186/1471-2407-13-56 · DOI
- 10.1007/BF02236743 · DOI
- 10.1097/SPC.0b013e328343a043 · DOI
- 10.1053/j.gastro.2005.12.015 · DOI · Paper page
- 10.1136/gut.2009.179325 · DOI
- 10.3748/wjg.v17.i12.1519 · DOI · Paper page
- 10.1038/mi.2014.107 · DOI · Paper page
- 10.1016/j.ajpath.2012.10.014 · DOI · Paper page
- 10.1183/09031936.05.00064704 · DOI
- 10.1007/s10753-008-9099-6 · DOI
- 10.1073/pnas.0803124105 · DOI · Paper page
- 10.1093/jn/136.6.1558 · DOI · Paper page
- 10.1046/j.1440-1746.2000.02037.x · doi:10.1046/j.1440-1746.2000.02037.x
- 10.1007/BF02208583 · doi:10.1007/bf02208583
- 10.1007/s10096-013-1819-7 · DOI · Paper page
- 10.1111/j.1399-3062.2005.00088.x · DOI · Paper page
- 10.1038/sj.bmt.1705690 · DOI · Paper page
- 10.1093/cid/cis765 · DOI
- 10.1111/tid.12175 · DOI
Cited by
The microbiome, cancer, and cancer therapy
Helmink, B. A., Khan, M. A. W., Hermann, A., Gopalakrishnan, V., & Wargo, J. A. (2019) · Nature Medicine · doi:10.1038/s41591-019-0377-7 · Cited by 1,200
Gut microbiota modulation of chemotherapy efficacy and toxicity
Alexander, J. L., Wilson, I. D., Teare, J., Marchesi, J. R., Nicholson, J. K., & Kinross, J. M. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.20 · Cited by 970
Microbiota: a key orchestrator of cancer therapy
Roy, S., & Trinchieri, G. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.13 · Cited by 883
The role of the microbiome in cancer development and therapy
Bhatt, A. P., Redinbo, M. R., & Bultman, S. J. (2017) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21398 · Cited by 653
Cullin, N., Azevedo Antunes, C., Straussman, R., Stein-Thoeringer, C. K., & Elinav, E. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.08.006 · Cited by 578
Metadata
- Authors
- Montassier, E., Gastinne, T., Vangay, P., Al‐Ghalith, G. A., Bruley des Varannes, S., Massart, S., Moreau, P., Potel, G., de La Cochetière, M. F., Batard, E., & Knights, D.
- Venue
- Alimentary Pharmacology & Therapeutics
- Publisher
- Wiley
- Published
- 2015-07-06
- Volume
- 42
- Issue
- 5
- Pages
- 515-528
- ISSN
- 0269-2813 (ISSN-L)
- 1365-2036
- OpenAlex
- W1716533099
- Cited by
- 515
- References
- 13
- FWCI
- 8.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- Funders
- Nantes University Hospital (BRD/10/04-Q)
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: Chemotherapy‐driven dysbiosis in the intestinal microbiome. https://app.cochat.ai/papers/10.1111/apt.13302
- The paper
- Montassier, E., Gastinne, T., Vangay, P., Al‐Ghalith, G. A., Bruley des Varannes, S., Massart, S., Moreau, P., Potel, G., de La Cochetière, M. F., Batard, E., & Knights, D. (2015). Chemotherapy‐driven dysbiosis in the intestinal microbiome. Alimentary Pharmacology & Therapeutics. https://doi.org/10.1111/apt.13302
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.
