Evidence map›Paper›PMID 32232183›Full record

ArticleJournal of the Endocrine Society2020

Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling.

Riku Klén, Miikka-Juhani Honka, Jarna C Hannukainen, Ville Huovinen, Marco Bucci, Aino Latva-Rasku, Mikko S Venäläinen, Kari K Kalliokoski, Kirsi A Virtanen, Riikka Lautamäki and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Endocrine Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. 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

13 authors at 3 institutions in 2 countries.

Riku KlénTurku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0002-0982-8360
Miikka-Juhani HonkaTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0001-9875-5863
Jarna C HannukainenTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0002-8692-4049
Ville HuovinenTurku PET Centre, University of Turku, Turku, Finland.
Marco BucciTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0002-5206-8651
Aino Latva-RaskuTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0001-8786-9160
Mikko S VenäläinenTurku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0003-1777-4259
Kari K KalliokoskiTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0002-8893-7126
Kirsi A VirtanenTurku PET Centre, University of Turku, Turku, Finland.
Riikka LautamäkiTurku PET Centre, University of Turku, Turku, Finland.
Patricia IozzoInstitute of Clinical Physiology, National Research Council, Pisa, Italy.ORCID 0000-0001-6443-7074
Laura L EloTurku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland.ORCID 0000-0001-5648-4532
Pirjo NuutilaTurku PET Centre, University of Turku, Turku, Finland.ORCID 0000-0001-9597-338X
University of Turku · FIÅbo Akademi University · FIIstituto di Fisiologia Clinica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAbnormal lipoprotein and amino acid profiles are associated with insulin resistance and may help to identify this condition. The aim of this study was to create models estimating skeletal muscle and whole-body insulin sensitivity using fasting metabolite profiles and common clinical and laboratory measures. MATERIAL AND

methodsThe cross-sectional study population included 259 subjects with normal or impaired fasting glucose or type 2 diabetes in whom skeletal muscle and whole-body insulin sensitivity (M-value) were measured during euglycemic hyperinsulinemic clamp. Muscle glucose uptake (GU) was measured directly using [

resultsWB-ISI had higher correlation with actual M-value than HOMA-IR or revised QUICKI (

conclusionMuscle-ISI and WB-ISI based on NMR-metabolomics and common laboratory measurements from fasting serum samples and basic anthropometrics are promising rapid and inexpensive tools for determining insulin sensitivity in at-risk individuals.

Indexed as

glucose uptakeinsulin sensitivitymetabolomicspositron emission tomographyskeletal muscletype 2 diabetes

Identifiers

PMID32232183
PMCPMC7093091
OpenAlexW3010730968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.