Evidence map›Paper›PMID 26050125›Full record

ReviewCurrent opinion in nephrology and hypertension2015

Metabolomics and renal disease.

Eugene P Rhee

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Current opinion in nephrology and hypertension, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05719714 (Effect of Dapagliflozin on Metabolomics and Cardiac Mechanics in Chronic Kidney Disease), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05719714 phase1 / phase2active not recruitingstarted 2024, after this paper: background citation

Effect of Dapagliflozin on Metabolomics and Cardiac Mechanics in Chronic Kidney Disease

Ran2024Enrolled18Registered outcomes5Posted comparisons0ConditionsChronic Kidney Diseases, Heart Failure, Heart Failure With Preserved Ejection Fraction, Kidney DiseasesArmsDapagliflozin 10 MG [Farxiga]
Open the trial in the graph
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Perspectives in systems nephrology.Cell and tissue research · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Eugene P RheeNephrology Division and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Massachusetts General Hospital · US

Funding

Metabolite Profiling and Cardiovascular Mortality in End-stage Renal DiseaseK08DK090142 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RHEE, EUGENE P. · 2011 to 2015
$800k
NIDDK NIH HHS K08 DK090142NIDDK NIH HHS K08-DK-090142
6 · The paper itself

Abstract

purpose of reviewThis review summarizes recent metabolomics studies of renal disease, outlining some of the limitations of the literature to date. RECENT

findingsThe application of metabolomics in nephrology research has expanded from the initial analyses of uremia to include both cross-sectional and longitudinal studies of earlier stages of kidney disease. Although these studies have nominated several potential markers of incident chronic kidney disease (CKD) and CKD progression, a lack of overlap in metabolite coverage has limited the ability to synthesize results across groups. Furthermore, direct examination of renal metabolite handling has underscored the substantial impact kidney function has on these potential markers (and many other circulating metabolites). In experimental studies, metabolomics has been used to identify a signature of decreased mitochondrial function in diabetic nephropathy and a preference for aerobic glucose metabolism in polycystic kidney disease. In each case, these studies have outlined novel therapeutic opportunities. Finally, as a complement to the longstanding interest in renal metabolite clearance, the microbiome has been increasingly recognized as the source of many plasma metabolites, including some with potential functional relevance to CKD and its complications. SUMMARY: The high-throughput, high-resolution phenotyping enabled by metabolomics technologies has begun to provide insight on renal disease in clinical, physiologic, and experimental contexts.

Indexed as

MetabolomicsBiomarkersHumansKidney Function TestsPhenotypeRenal Insufficiency, ChronicBiomarkers

Identifiers

PMID26050125
PMCPMC4479960
OpenAlexW2326995950

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.