The DOI matches its Crossref record; 163 of the 165 references it cites were found in a registry or an index.
Role of the Gut Microbiome in Uremia: A Potential Therapeutic Target
Open accessAbstract
Also known as the "second human genome," the gut microbiome plays important roles in both the maintenance of health and the pathogenesis of disease. The symbiotic relationship between host and microbiome is disturbed due to the proliferation of dysbiotic bacteria in patients with chronic kidney disease (CKD). Fermentation of protein and amino acids by gut bacteria generates excess amounts of potentially toxic compounds such as ammonia, amines, thiols, phenols, and indoles, but the generation of short-chain fatty acids is reduced. Impaired intestinal barrier function in patients with CKD permits translocation of gut-derived uremic toxins into the systemic circulation, contributing to the progression of CKD, cardiovascular disease, insulin resistance, and protein-energy wasting. The field of microbiome research is still nascent, but is evolving rapidly. Establishing symbiosis to treat uremic syndrome is a novel concept, but if proved effective, it will have a significant impact on the management of patients with CKD.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Emerging evidence has led to expansion of this concept to that of the brain-gut-kidney axis9,118,160,161 (TABLE 2).”
From The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease (2018) · cites this paper as [160]
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
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
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
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,820
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
Metabolic Endotoxemia Initiates Obesity and Insulin Resistance
Cani, P. D., Amar, J., Iglesias, M. A., Poggi, M., Knauf, C., Bastelica, D., Neyrinck, A. M., Fava, F., Tuohy, K. M., Chabo, C., et al. (2007) · Diabetes · doi:10.2337/db06-1491 · Cited by 6,638
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
Research works printed but not linked: 1
- Ringoir, 1986, Proceedings of the Ghent Symposium on Uremic Toxins, Adv Exp Med Biol, 223, 59
Cited by
Sorted by citations
The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease
Yang, T., Richards, E. M., Pepine, C. J., & Raizada, M. K. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0018-2 · Cited by 753
Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents
Wang, X., Yang, S., Li, S., Zhao, L., Hao, Y., Qin, J., Zhang, L., Zhang, C., Bian, W., Zuo, L., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319766 · Cited by 553
Trimethylamine N-oxide: the good, the bad and the unknown.
Velasquez, M., Ramezani, A., Manal, A., & Raj, D. (2016) · Toxins · doi:10.3390/toxins8110326 · Cited by 504
Self-citationMicrobial modulation of cardiovascular disease
Brown, J. M., & Hazen, S. L. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.149 · Cited by 440
Microbiome–metabolome reveals the contribution of gut–kidney axis on kidney disease
Chen, Y., Chen, D., Chen, L., Liu, J., Vaziri, N. D., Guo, Y. P., & Zhao, Y. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-018-1756-4 · Cited by 430
Metadata
- Authors
- Ramezani, A., Massy, Z. A., Meijers, B., Evenepoel, P., Vanholder, R., & Raj, D. S.
- Affiliations
- George Washington University (US)
- Inserm (FR)
- Universitair Ziekenhuis Leuven (BE)
- Ghent University Hospital (BE)
- Corresponding author
- Raj, Dominic S.
- Venue
- American Journal of Kidney Diseases
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 67
- Issue
- 3
- Pages
- 483-498
- ISSN
- 0272-6386 (ISSN-L)
- PMC
- PMC5408507
- OpenAlex
- W2180350916
- Cited by
- 394
- References
- 165
- Citations by year
- 2026: 27 · 2025: 39 · 2024: 46 · 2023: 37 · 2022: 45 · 2021: 41 · 2020: 45 · 2019: 45 · 2018: 30 · 2017: 29 · 2016: 8
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Kidney Diseases (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Lirias (KU Leuven) (submittedVersion)
- Funders
- National Institutes of Health (1R01DK073665-01A1, 1U01DK099924-01, 1U01DK099914-01)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- gut microbiota, uremia, chronic kidney disease, uremic toxins, dysbiosis, intestinal barrier dysfunction, short-chain fatty acids, protein fermentation, microbial translocation, cardiovascular disease, insulin resistance, protein-energy wasting, microbiota-based therapy
- MeSH terms
- Gastrointestinal Microbiome, Humans, Uremia, Disease Progression, Renal Insufficiency, Chronic, Early Medical Intervention, Dysbiosis
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