Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 319

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The Footprints of Gut Microbial–Mammalian Co-Metabolism

Zheng, Xiaojiao, Xie, Guoxiang, Zhao, Aihua, Zhao, Linjing, Yao, Chun, Chiu, Norman H. L., Zhou, Zhanxiang, Bao, Yuqian, Jia, Weiping, Nicholson, Jeremy K., Jia, Wei·2011·Journal of Proteome Research

Abstract

Gut microbiota are associated with essential various biological functions in humans through a "network" of microbial-host co-metabolism to process nutrients and drugs and modulate the activities of multiple pathways in organ systems that are linked to different diseases. The microbiome impacts strongly on the metabolic phenotypes of the host, and hence, metabolic readouts can give insights into functional metagenomic activity. We applied an untargeted mass spectrometry (MS) based metabonomics approach to profile normal Wistar rats exposed to a broad spectrum β-lactam antibiotic imipenem/cilastatin sodium, at 50 mg/kg/daily for 4 days followed by a 14-day recovery period. In-depth metabolic phenotyping allowed identification of a panel of 202 urinary and 223 fecal metabolites significantly related to end points of a functional metagenome (p < 0.05 in at least one day), many of which have not been previously reported such as oligopeptides and carbohydrates. This study shows extensive gut microbiota modulation of host systemic metabolism involving short-chain fatty acids, tryptophan, tyrosine metabolism, and possibly a compensatory mechanism of indole-melatonin production. Given the integral nature of the mammalian genome and metagenome, this panel of metabolites will provide a new platform for potential therapeutic markers and mechanistic solutions to complex problems commonly encountered in pathology, toxicology, or drug metabolism studies.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/pr2007945

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Research works printed but not linked: 39

  1. Knight D. J. W., 2003, Lancet, 361, 1831, 10.1016/S0140-6736(03)13438-1 · DOI · Paper page
  2. Hooper L. V., 2001, Science, 292, 1115, 10.1126/science.1058709 · DOI · Paper page
  3. Jia W., 2008, Nat. Rev. Drug Discovery, 7, 123, 10.1038/nrd2505 · DOI · Paper page
  4. Zaneveld J., 2008, Curr. Opin. Chem. Biol., 12, 109, 10.1016/j.cbpa.2008.01.015 · DOI
  5. Gill S. R., 2006, Science, 312, 1355, 10.1126/science.1124234 · DOI · Paper page
  6. Hugenholtz P., 1998, J. Bacteriol., 180, 4765, 10.1128/JB.180.18.4765-4774.1998 · DOI · Paper page
  7. Shen J., 2006, Appl. Environ. Microbiol., 72, 5232, 10.1128/AEM.00151-06 · DOI
  8. Pang X. Y., 2007, Isme J., 1, 156, 10.1038/ismej.2007.23 · DOI · Paper page
  9. Li M., 2008, Proc. Natl. Acad. Sci. U.S.A., 105, 2117, 10.1073/pnas.0712038105 · DOI · Paper page
  10. Nicholls A. W., 2003, Chem. Res. Toxicol., 16, 1395, 10.1021/tx0340293 · DOI · Paper page
  11. Wang X. Y., 2007, J. Proteome Res., 6, 3449, 10.1021/pr070051w · DOI
  12. Bao Y. Q., 2009, J. Proteome Res., 8, 1623, 10.1021/pr800643w · DOI
  13. Fiehn O., 2002, Plant Mol.Biol., 48, 155, 10.1023/A:1013713905833 · DOI · Paper page
  14. Nicholson J. K., 1999, Xenobiotica, 29, 1181, 10.1080/004982599238047 · DOI · Paper page
  15. Claus S. P., 2008, Mol. Syst. Biol., 4, 219, 10.1038/msb.2008.56 · DOI · Paper page
  16. Martin F. P. J, 2007, Mol. Syst. Biol., 3, 112, 10.1038/msb4100153 · DOI · Paper page
  17. Martin F. P. J, 2009, J. Proteome Res., 8, 3464, 10.1021/pr900099x · DOI
  18. Qiu Y. P., 2009, J. Proteome Res., 8, 4844, 10.1021/pr9004162 · DOI · Paper page
  19. Xie G. X., 2009, J. Proteome Res., 9, 125, 10.1021/pr900333h · DOI
  20. Gao X. F., 2010, Anal. Chem., 82, 6447, 10.1021/ac1006552 · DOI
  21. Jonsson P., 2005, Anal. Chem., 77, 5635, 10.1021/ac050601e · DOI · Paper page
  22. Holmes E., 1992, Mol. Pharmacol., 42, 922, 10.1016/S0026-895X(25)09200-4 · DOI · Paper page
  23. Dethlefsen L., 2011, Proc. Natl. Acad. Sci. U.S.A., 108, 4554, 10.1073/pnas.1000087107 · DOI · Paper page
  24. Yap I. K. S., 2008, J. Proteome Res., 7, 3718, 10.1021/pr700864x · DOI · Paper page
  25. Clissold S. P., 1987, Drugs, 33, 183, 10.2165/00003495-198733030-00001 · doi:10.2165/00003495-198733030-00001
  26. Harrison M. P., 1991, Biochem. Pharmacol., 41, 2045, 10.1016/0006-2952(91)90150-4 · doi:10.1016/0006-2952(91)90150-4
  27. Botsford J. L., 1972, J. Bacteriol., 109, 74, 10.1128/jb.109.1.74-80.1972 · DOI
  28. Arendt J., 1985, J. Clin. Endocrinol. Metab., 60, 1166, 10.1210/jcem-60-6-1166 · DOI · Paper page
  29. Bansal T., 2010, Proc. Natl. Acad. Sci. U.S.A., 107, 228, 10.1073/pnas.0906112107 · DOI · Paper page
  30. Cardinali D. P., 1981, Endocr. Rev., 2, 327, 10.1210/edrv-2-3-327 · DOI · Paper page
  31. Collins S. M., 2009, Gastroenterology, 136, 2003, 10.1053/j.gastro.2009.01.075 · DOI · Paper page
  32. Diaz E., 2001, Microbiol. Mol. Biol. Rev., 65, 523, 10.1128/MMBR.65.4.523-569.2001 · DOI · Paper page
  33. Smith E. A., 1997, Microb. Ecol., 33, 180, 10.1007/s002489900020 · DOI · Paper page
  34. Cook S. I., 1998, Aliment.y Pharmacol. Ther., 12, 499, 10.1046/j.1365-2036.1998.00337.x · DOI · Paper page
  35. Hammer H. F., 1990, J. Clin. Invest., 86, 1936, 10.1172/JCI114927 · DOI
  36. Whiteley H. R., 1957, J. Bacteriol., 74, 324, 10.1128/jb.74.3.324-330.1957 · DOI
  37. Gilbert E. R., 2008, J. Anim. Sci., 86, 2135, 10.2527/jas.2007-0826 · DOI · Paper page
  38. Ziegler T. R., 2002, Am. J. Clin. Nutr., 75, 922, 10.1093/ajcn/75.5.922 · DOI · Paper page
  39. Schmidt N. A., 1964, Clin. Chim. Acta, 10, 574, 10.1016/0009-8981(64)90201-3 · doi:10.1016/0009-8981(64)90201-3

Cited by

Metadata

Authors
Zheng, X., Xie, G., Zhao, A., Zhao, L., Yao, C., Chiu, N. H. L., Zhou, Z., Bao, Y., Jia, W., Nicholson, J. K., & Jia, W.
Venue
Journal of Proteome Research
Published
2011-10-24
Volume
10
Issue
12
Pages
5512-5522
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W1978337734
Cited by
319
References
3
FWCI
7.76
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

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.