Evidence map›Paper›PMID 25517727›Full record

ArticlePloS one2014

Whole-body insulin sensitivity rather than body-mass-index determines fasting and post-glucose-load growth hormone concentrations.

Christian-Heinz Anderwald, Andrea Tura, Alois Gessl, Sabina Smajis, Christian Bieglmayer, Rodrig Marculescu, Anton Luger, Giovanni Pacini, Michael Krebs

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
0.9field-weighted citation impact, top 25% 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, 11 citations in OpenAlex.

  1. Article
  2. Increased GH/IGF-I Axis Activity Relates to Lower Hepatic Lipids and Phosphor Metabolism.The Journal of clinical endocrinology and metabolism · 2023
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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

9 authors at 2 institutions in 2 countries.

Christian-Heinz AnderwaldDivision of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; Metabolic Unit, Institute of Biomedical Engineering, National Research Council (ISIB-CNR), Padua, Italy; Mariahilf Community Pharmacy, Arnoldstein, Austria; Medical Direction, Specialized Hospital Complex Agathenhof, Micheldorf, Austria.
Andrea TuraMetabolic Unit, Institute of Biomedical Engineering, National Research Council (ISIB-CNR), Padua, Italy.
Alois GesslDivision of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Sabina SmajisDivision of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Christian BieglmayerClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Vienna, Vienna, Austria.
Rodrig MarculescuClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Vienna, Vienna, Austria.
Anton LugerDivision of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Giovanni PaciniMetabolic Unit, Institute of Biomedical Engineering, National Research Council (ISIB-CNR), Padua, Italy.
Michael KrebsDivision of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObese, non-acromegalic persons show lower growth hormone (GH) concentrations at fasting and reduced GH nadir during an oral glucose tolerance test (OGTT). However, this finding has never been studied with regard to whole-body insulin-sensitivity as a possible regulator.

methodsIn this retrospective analysis, non-acromegalic (NonACRO, n = 161) and acromegalic (ACRO, n = 35), non-diabetic subjects were subdivided into insulin-sensitive (IS) and -resistant (IR) groups according to the Clamp-like Index (CLIX)-threshold of 5 mg · kg(-1) · min(-1) from the OGTT.

resultsNon-acromegalic IS (CLIX: 8.8 ± 0.4 mg · kg(-1) · min(-1)) persons with similar age and sex distribution, but lower (p < 0.001) body-mass-index (BMI = 25 ± 0 kg/m2, 84% females, 56 ± 1 years) had 59% and 70%, respectively, higher (p < 0.03) fasting GH and OGTT GH area under the curve concentrations than IR (CLIX: 3.5 ± 0.1 mg · kg(-1) · min(-1), p < 0.001) subjects (BMI = 29 ± 1 kg/m2, 73% females, 58 ± 1 years). When comparing on average overweight non-acromegalic IS and IR with similar anthropometry (IS: BMI: 27 ± 0 kg/m2, 82% females, 58 ± 2 years; IR: BMI: 27 ± 0 kg/m2, 71% females, 60 ± 1 years), but different CLIX (IS: 8.7 ± 0.9 vs. IR: 3.8 ± 0.1 mg · kg(-1) · min(-1), p < 0.001), the results remained almost the same. In addition, when adjusted for OGTT-mediated glucose rise, GH fall was less pronounced in IR. In contrast, in acromegalic subjects, no difference was found between IS and IR patients with regard to fasting and post-glucose-load GH concentrations.

conclusionsCirculating GH concentrations at fasting and during the OGTT are lower in non-acromegalic insulin-resistant subjects. This study seems the first to demonstrate that insulin sensitivity rather than body-mass modulates fasting and post-glucose-load GH concentrations in non-diabetic non-acromegalic subjects.

Indexed as

Body Mass IndexInsulin ResistanceAcromegalyAnthropometryBlood GlucoseFastingFemaleFollow-Up StudiesGlucose Tolerance TestHuman Growth HormoneHumansMaleMiddle AgedObesityPrognosisRetrospective StudiesBlood GlucoseHuman Growth Hormone

Identifiers

PMID25517727
PMCPMC4269423
OpenAlexW2095354241

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.