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Metabolic Abnormalities in Diabetes and Kidney Disease: Role of Uremic Toxins

Overview of attention for article published in Current Diabetes Reports, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

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38 Dimensions

Readers on

mendeley
68 Mendeley
Title
Metabolic Abnormalities in Diabetes and Kidney Disease: Role of Uremic Toxins
Published in
Current Diabetes Reports, September 2018
DOI 10.1007/s11892-018-1064-7
Pubmed ID
Authors

Laetitia Koppe, Denis Fouque, Christophe O. Soulage

Abstract

Chronic kidney disease (CKD) is characterized by the accumulation of uremic retention solutes (URS) and is associated with perturbations of glucose homeostasis even in absence of diabetes. The underlying mechanisms of insulin resistance, β cell failure, and increase risk of diabetes in CKD, however, remain unclear. Metabolomic studies reported that some metabolites are similar in CKD and diabetic kidney disease (DKD) and contribute to the progression to end-stage renal disease. We attempted to discuss the mechanisms involved in the disruption of carbohydrate metabolism in CKD by focusing on the specific role of URS. Recent clinical data have demonstrated a defect of insulin secretion in CKD. Several studies highlighted the direct role of some URS (urea, trimethylamine N-oxide (TMAO), p-cresyl sulfate, 3-carboxylic acid 4-methyl-5-propyl-2-furan propionic (CMPF)) in glucose homeostasis abnormalities and diabetes incidence. Gut dysbiosis has been identified as a potential contributor to diabetes and to the production of URS. The complex interplay between the gut microbiota, kidney, pancreas β cell, and peripheral insulin target tissues has brought out new hypotheses for the pathogenesis of CKD and DKD. The characterization of intestinal microbiota and its associated metabolites are likely to fill fundamental knowledge gaps leading to innovative research, clinical trials, and new treatments for CKD and DKD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 12%
Researcher 8 12%
Student > Bachelor 6 9%
Other 6 9%
Student > Doctoral Student 5 7%
Other 10 15%
Unknown 25 37%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Nursing and Health Professions 2 3%
Other 5 7%
Unknown 29 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2018.
All research outputs
#4,049,105
of 23,103,436 outputs
Outputs from Current Diabetes Reports
#206
of 1,016 outputs
Outputs of similar age
#79,204
of 336,306 outputs
Outputs of similar age from Current Diabetes Reports
#12
of 46 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.