Evidence map›Paper›PMID 37955868›Full record

ArticleThe Journal of clinical endocrinology and metabolism2024

Renal Cortical Glucose Uptake Is Decreased in Insulin Resistance and Correlates Inversely With Serum Free-fatty Acids.

Eleni Rebelos, Andrea Mari, Miikka-Juhani Honka, Laura Pekkarinen, Aino Latva-Rasku, Sanna Laurila, Johan Rajander, Paulina Salminen, Hidehiro Iida, Ele Ferrannini and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Methodological Considerations in Interpreting Renal [Diabetes, obesity & metabolism · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

11 authors at 6 institutions in 4 countries.

Eleni RebelosTurku PET Centre, University of Turku, 20520, Turku, Finland.ORCID 0000-0003-3050-8692
Andrea MariCNR Institute of Neuroscience, Padova, 35121, Italy.ORCID 0000-0002-1436-5591
Miikka-Juhani HonkaTurku PET Centre, University of Turku, 20520, Turku, Finland.ORCID 0000-0001-9875-5863
Laura PekkarinenTurku PET Centre, University of Turku, 20520, Turku, Finland.
Aino Latva-RaskuTurku PET Centre, University of Turku, 20520, Turku, Finland.
Sanna LaurilaTurku PET Centre, University of Turku, 20520, Turku, Finland.
Johan RajanderTurku PET Centre, Accelerator Laboratory, Åbo Akademi University, 20521, Turku, Finland.
Paulina SalminenDivision of Digestive Surgery and Urology, Turku University Hospital, 20521, Turku, Finland.ORCID 0000-0001-6435-9264
Hidehiro IidaTurku PET Centre, University of Turku, 20520, Turku, Finland.
Ele FerranniniCNR Institute of Clinical Physiology, Pisa, 56124, Italy.
Pirjo NuutilaTurku PET Centre, University of Turku, 20520, Turku, Finland.ORCID 0000-0001-9597-338X
University of Turku · FIÅbo Akademi University · FIIstituto di Fisiologia Clinica · ITNeuroscience Institute · ITTurku University Hospital · FIUniversity of Pisa · IT

Funding

EFSD 96402Emil Aaltonen FoundationFinnish Cultural FoundationFinnish Diabetes FoundationFinnish Diabetes Research Foundation and the Academy of Finland 332151Finnish Medical FoundationMaud Kuistilan MuistosäätiöPaulo FoundationSigrid Jusélius Foundation
6 · The paper itself

Abstract

contextStudies on human renal metabolism are scanty. Nowadays, functional imaging allows the characterization of renal metabolism in a noninvasive manner. We have recently demonstrated that fluorodeoxyglucose F18 (18F FDG) positron emission tomography can be used to analyze renal glucose uptake (GU) rates, and that the renal cortex is an insulin-sensitive tissue.

objectiveTo confirm that renal GU is decreased in people with obesity and to test whether circulating metabolites are related to renal GU. DESIGN, SETTING AND

participantsEighteen people with obesity and 18 nonobese controls were studied with [18F]FDG positron emission tomography during insulin clamp. Renal scans were obtained ∼60 minutes after [18F]FDG injection. Renal GU was measured using fractional uptake rate and after correcting for residual intratubular [18F]FDG. Circulating metabolites were measured using high-throughput proton nuclear magnetic resonance metabolomics.

resultsCortical GU was higher in healthy nonobese controls compared with people with obesity (4.7 [3.4-5.6] vs 3.1 [2.2-4.3], P = .004, respectively), and it associated positively with the degree of insulin sensitivity (M value) (r = 0.42, P = .01). Moreover, cortical GU was inversely associated with circulating β-OH-butyrate (r = -0.58, P = .009), acetoacetate (r = -0.48, P = .008), citrate (r = -0.44, P = .01), and free fatty acids (r = -0.68, P < .0001), even when accounting for the M value. On the contrary, medullary GU was not associated with any clinical parameters.

conclusionThese data confirm differences in renal cortical GU between people with obesity and healthy nonobese controls. Moreover, the negative correlations between renal cortex GU and free fatty acids, ketone bodies, and citrate are suggestive of substrate competition in the renal cortex.

Indexed as

Insulin ResistanceCitratesFatty Acids, NonesterifiedFluorodeoxyglucose F18GlucoseHumansInsulinObesityPositron-Emission TomographyRadiopharmaceuticalsCitratesFatty Acids, NonesterifiedFluorodeoxyglucose F18GlucoseInsulinRadiopharmaceuticalsinsulin resistancekidneymetabolismobesitypositron emission tomography

Identifiers

PMID37955868
PMCPMC11794995
OpenAlexW4388627010

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.