The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Metabolomics Reveals Metabolic Biomarkers of Crohn's Disease
Open accessAbstract
The causes and etiology of Crohn's disease (CD) are currently unknown although both host genetics and environmental factors play a role. Here we used non-targeted metabolic profiling to determine the contribution of metabolites produced by the gut microbiota towards disease status of the host. Ion Cyclotron Resonance Fourier Transform Mass Spectrometry (ICR-FT/MS) was used to discern the masses of thousands of metabolites in fecal samples collected from 17 identical twin pairs, including healthy individuals and those with CD. Pathways with differentiating metabolites included those involved in the metabolism and or synthesis of amino acids, fatty acids, bile acids and arachidonic acid. Several metabolites were positively or negatively correlated to the disease phenotype and to specific microbes previously characterized in the same samples. Our data reveal novel differentiating metabolites for CD that may provide diagnostic biomarkers and/or monitoring tools as well as insight into potential targets for disease therapy and prevention.
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 metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Cited by
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
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
Microbial tryptophan catabolites in health and disease
Roager, H. M., & Licht, T. R. (2018) · Nature Communications · doi:10.1038/s41467-018-05470-4 · Cited by 2,236
Gut microbiota-derived metabolites as key actors in inflammatory bowel disease
Lavelle, A., & Sokol, H. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0258-z · Cited by 2,015
Gut microbiome structure and metabolic activity in inflammatory bowel disease
Franzosa, E. A., Sirota-Madi, A., Avila-Pacheco, J., Fornelos, N., Haiser, H. J., Reinker, S., Vatanen, T., Hall, A. B., Mallick, H., McIver, L. J., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0306-4 · Cited by 1,995
Venkatesh, M., Mukherjee, S., Wang, H., Li, H., Sun, K., Benechet, A. P., Qiu, Z., Maher, L., Redinbo, M. R., Phillips, R. S., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.014 · Cited by 1,066
Willing, B. P., Dicksved, J., Halfvarson, J., Andersson, A. F., Lucio, M., Zheng, Z., Järnerot, G., Tysk, C., Jansson, J. K., & Engstrand, L. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.08.049 · Cited by 1,032
Self-citationShifting the balance: antibiotic effects on host–microbiota mutualism
Willing, B. P., Russell, S. L., & Finlay, B. B. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2536 · Cited by 747
Self-citationSystems biology and multi-omics integration: viewpoints from the metabolomics research community
Pinu, F. R., Beale, D. J., Paten, A. M., Kouremenos, K., Swarup, S., Schirra, H. J., & Wishart, D. (2019) · Metabolites · doi:10.3390/metabo9040076 · Cited by 723
Spencer, M. D., Hamp, T. J., Reid, R. W., Fischer, L. M., Zeisel, S. H., & Fodor, A. A. (2011) · Gastroenterology · doi:10.1053/j.gastro.2010.11.049 · Cited by 593
Metabolomics enables precision medicine: “A White Paper, Community Perspective”
for “Precision Medicine and Pharmacometabolomics Task Group”-Metabolomics Society Initiative, Beger, R. D., Dunn, W., Schmidt, M. A., Gross, S. S., Kirwan, J. A., Cascante, M., Brennan, L., Wishart, D. S., Oresic, M., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1094-6 · Cited by 592
Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
Vernocchi, P., Del Chierico, F., & Putignani, L. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01144 · Cited by 426
Integrated Metagenomics/Metaproteomics Reveals Human Host-Microbiota Signatures of Crohn's Disease
Erickson, A. R., Cantarel, B. L., Lamendella, R., Darzi, Y., Mongodin, E. F., Pan, C., Shah, M., Halfvarson, J., Tysk, C., Henrissat, B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049138 · Cited by 395
Self-citationLe Gall, G., Noor, S. O., Ridgway, K., Scovell, L., Jamieson, C., Johnson, I. T., Colquhoun, I. J., Kemsley, E. K., & Narbad, A. (2011) · Journal of Proteome Research · doi:10.1021/pr2003598 · Cited by 348
Impact of Dietary Resistant Starch on the Human Gut Microbiome, Metaproteome, and Metabolome
Maier, T. V., Lucio, M., Lee, L. H., VerBerkmoes, N. C., Brislawn, C. J., Bernhardt, J., Lamendella, R., McDermott, J. E., Bergeron, N., Heinzmann, S. S., et al. (2017) · mBio · doi:10.1128/mbio.01343-17 · Cited by 316
“To identify the functional potential of the gut microbiome during RS digestion, we leveraged our development of untargeted “shotgun” approaches to determine the complement of proteins (metaproteomics) (12) and metabolites (13) in the gut.”
Self-citationThe dynamic range of the human metabolome revealed by challenges
Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Römisch‐Margl, W., Adamski, J., Prehn, C., et al. (2012) · The FASEB Journal · doi:10.1096/fj.11-198093 · Cited by 327
Effect of Antibiotic Treatment on the Intestinal Metabolome
Antunes, L. C. M., Han, J., Ferreira, R. B. R., Lolić, P., Borchers, C. H., & Finlay, B. B. (2011) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01664-10 · Cited by 271
Application of Metabolomics in Alzheimer’s Disease
Wilkins, J. M., & Trushina, E. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2017.00719 · Cited by 268
Russo, E., Giudici, F., Fiorindi, C., Ficari, F., Scaringi, S., & Amedei, A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02754 · Cited by 204
Draper, J., Lloyd, A. J., Goodacre, R., & Beckmann, M. (2013) · Metabolomics · doi:10.1007/s11306-012-0449-x · Cited by 144
Metabolomic analysis in inflammatory bowel disease: A systematic review
Gallagher, K., Catesson, A., Griffin, J. L., Holmes, E., & Williams, H. R. T. (2021) · Journal of Crohn's and Colitis · doi:10.1093/ecco-jcc/jjaa227 · Cited by 133
Fecal microbiota transplantation reverses antibiotic and chemotherapy-induced gut dysbiosis in mice
Le Bastard, Q., Ward, T., Sidiropoulos, D., Hillmann, B. M., Chun, C. L., Sadowsky, M. J., Knights, D., & Montassier, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-24342-x · Cited by 134
Lin, Y., Ma, C., Liu, C., Wang, Z., Yang, J., Liu, X., Shen, Z., & Wu, R. (2016) · Oncotarget · doi:10.18632/oncotarget.8762 · Cited by 126
Melnik, A. V., da Silva, R. R., Hyde, E. R., Aksenov, A. A., Vargas, F., Bouslimani, A., Protsyuk, I., Jarmusch, A. K., Tripathi, A., Alexandrov, T., et al. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b01381 · Cited by 87
Enteric pathogen exploitation of the microbiota-generated nutrient environment of the gut
Keeney, K. M., & Finlay, B. B. (2011) · Current Opinion in Microbiology · doi:10.1016/j.mib.2010.12.012 · Cited by 81
Responders and non-responders to probiotic interventions: How can we improve the odds?
Reid, G., Gaudier, E., Guarner, F., Huffnagle, G. B., Macklaim, J. M., Munoz, A. M., Martini, M., Ringel-Kulka, T., Sartor, B. R., Unal, R. R., et al. (2010) · Gut Microbes · doi:10.4161/gmic.1.3.12013 · Cited by 76
Bile acids: Key players in inflammatory bowel diseases?
Kriaa, A., Mariaule, V., Jablaoui, A., Rhimi, S., Mkaouar, H., Hernandez, J., Korkmaz, B., Lesner, A., Maguin, E., Aghdassi, A., et al. (2022) · Cells · doi:10.3390/cells11050901 · Cited by 53
The Interplay between the Microbiota and Enterohemorrhagic Escherichia coli
Pifer, R., & Sperandio, V. (2014) · Microbiology Spectrum · doi:10.1128/microbiolspec.ehec-0015-2013 · Cited by 32
Pereira-Fantini, P. M., Byars, S. G., Pitt, J., Lapthorne, S., Fouhy, F., Cotter, P. D., & Bines, J. E. (2017) · Scientific Reports · doi:10.1038/srep43326 · Cited by 22
Mo, F.-F., Qin, H.-H., Wang, X.-L., Shen, Z.-L., Xu, Z., Wang, K.-H., Cai, Y.-L., & Li, M. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.08.024 · Cited by 17
Metadata
- Authors
- Jansson, J., Willing, B., Lucio, M., Fekete, A., Dicksved, J., Halfvarson, J., Tysk, C., & Schmitt-Kopplin, P.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-07-28
- Volume
- 4
- Issue
- 7
- Pages
- e6386
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2060748779
- Cited by
- 512
- References
- 2
- 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
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.
