Evidence map›Paper›PMID 20153490›Full record

ArticleMetabolism: clinical and experimental2010

Assessment of non-insulin-mediated glucose uptake: association with body fat and glycemic status.

Reiner Jumpertz, Marie S Thearle, Joy C Bunt, Jonathan Krakoff

Open access · greenAbstract readControlled Clinical Trial
In one paragraph

Article in Metabolism: clinical and experimental, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Frontiers in nutrition · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Effects of electrical microstimulation of peripheral sympathetic nervous fascicle on glucose uptake in rats.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2013
    Article
  8. Article
  9. Article
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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

4 authors at 2 institutions in 1 country.

Reiner JumpertzObesity and Diabetes Clinical Research Section, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ 85016, USA. jumpertzr@mail.nih.gov
Marie S Thearle
Joy C Bunt
Jonathan Krakoff
National Institutes of Health · USNational Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Risk Factors and Etiology of Obesity and Type 2 DiabetesZIADK069015 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAKOFF, JONATHAN · 2009 to 2025
$4.2M
Intramural NIH HHS Z99 DK999999
6 · The paper itself

Abstract

In the fasting state, approximately 83% of glucose uptake occurs via non-insulin-mediated mechanisms. A widely accepted static rate for NIMGU is 1.62 mg kg(-1)·min(-1). To investigate the variability of NIMGU, we examined differences by glucose tolerance, sex, age, race (American Indian/African American/Caucasian), and adiposity in 616 volunteers (including individuals with normal glucose regulation [NGR] and impaired glucose regulation [IGR] and diabetes mellitus [DM]) using data from euglycemic-hyperinsulinemic clamp experiments. NIMGU was determined by plotting basal glucose output and insulin action against fasting and steady-state clamp insulin. The intercept with the y-axis after extrapolation was interpreted as NIMGU at zero insulin. Body composition was determined by dual-energy x-ray absorptiometry; and glucose regulation, by a 75-g oral glucose tolerance test. Energy expenditure was measured by indirect calorimetry in a metabolic chamber. In individuals with NGR (n = 385), NIMGU was 1.63 mg kg(estimated metabolic body size (fat free mass + 17.7 kg))(-1) min(-1) (95% confidence interval, 1.59-1.66). NIMGU increased with IGR and DM (IGR: n = 189, 1.67 [1.62-1.72]; DM: n = 42, 2.39 [2.29-2.49]; P < .0001 across groups). NIMGU did not differ by sex (P = .13), age (P = .22), or race (P = .06); however, NIMGU was associated with percentage body fat (r(2) = 0.04, P < .0001). Furthermore, NIMGU was positively associated with 24-hour and sleep energy expenditure (r(2) = 0.002, P = .03; r(2) = 0.01, P < .01). Extrapolated NIMGU in individuals with NGR is remarkably consistent with previously published data. Our results indicate that NIMGU is associated with adiposity. NIMGU increases with declining glucose tolerance perhaps to preserve glucose uptake during increased insulin resistance.

Indexed as

Adipose TissueAdiposityAdultBlood GlucoseDiabetes Mellitus, Type 2FemaleGlucoseGlucose Clamp TechniqueGlucose Tolerance TestGlycemic IndexHealth StatusHumansInsulinLongitudinal StudiesMaleRisk FactorsBlood GlucoseGlucoseInsulin

Identifiers

PMID20153490
PMCPMC2894300
OpenAlexW2097851626

What OpenQuestion holds

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LicenceTDM
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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.