Evidence mapPaperPMID 28924247Full record

Trial reportScientific reports2017

Low level activity thresholds for changes in NMR biomarkers and genes in high risk subjects for Type 2 Diabetes.

Karl-Heinz Herzig, Juhani Leppäluoto, Jari Jokelainen, Emmanuelle Meugnier, Sandra Pesenti, Harri Selänne, Kari A Mäkelä, Riikka Ahola, Timo Jämsä, Hubert Vidal and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
field-weighted citation impact, top 86% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Skeletal muscle phenotype and blood pressure after acute exercises.European journal of applied physiology · 2026
    Article
  3. Article
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 5 institutions in 2 countries.

Karl-Heinz HerzigResearch Unit of Biomedicine, and Biocenter of Oulu, Oulu University, 90014, Oulu, Finland. Karl-Heinz.Herzig@oulu.fi.
Juhani LeppäluotoResearch Unit of Biomedicine, and Biocenter of Oulu, Oulu University, 90014, Oulu, Finland.
Jari JokelainenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland.
Emmanuelle MeugnierCarMeN Laboratory, INSERM U1060, INRA U1397, University of Lyon, 69600, Oullins, France.
Sandra PesentiCarMeN Laboratory, INSERM U1060, INRA U1397, University of Lyon, 69600, Oullins, France.
Harri SelänneDepartment of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland.
Kari A MäkeläResearch Unit of Biomedicine, and Biocenter of Oulu, Oulu University, 90014, Oulu, Finland.
Riikka AholaResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, 90014, Oulu, Finland.
Timo JämsäMedical Research Center and Oulu University Hospital, University of Oulu and Oulu University Hospital, Oulu, Finland.
Hubert VidalCarMeN Laboratory, INSERM U1060, INRA U1397, University of Lyon, 69600, Oullins, France.
Sirkka Keinänen-KiukaanniemiCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland.
University of Oulu · FIUniversité Claude Bernard Lyon 1 · FRLaboratoire CarMeN · FROulu University Hospital · FIUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our objectives were to determine if there are quantitative associations between amounts and intensities of physical activities (PA) on NMR biomarkers and changes in skeletal muscle gene expressions in subjects with high risk for type 2 diabetes (T2D) performing a 3-month PA intervention. We found that PA was associated with beneficial biomarker changes in a factor containing several VLDL and HDL subclasses and lipids in principal component analysis (P = <0.01). Division of PA into quartiles demonstrated significant changes in NMR biomarkers in the 2nd - 4th quartiles compared to the 1st quartile representing PA of less than 2850 daily steps (P = 0.0036). Mediation analysis of PA-related reductions in lipoproteins showed that the effects of PA was 4-15 times greater than those of body weight or fat mass reductions. In a subset study in highly active subjects' gene expressions of oxidative fiber markers, Apo D, and G0/G1 Switch Gene 2, controlling insulin signaling and glucose metabolism were significantly increased. Slow walking at speeds of 2-3 km/h exceeding 2895 steps/day attenuated several circulating lipoprotein lipids. The effects were mediated rather by PA than body weight or fat loss. Thus, lower thresholds for PA may exist for long term prevention of cardio-metabolic diseases in sedentary overweight subjects.

Indexed as

ExerciseGene Expression RegulationMagnetic Resonance ImagingMuscle, SkeletalAdultBiomarkersBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedMuscle ProteinsBiomarkersBlood GlucoseMuscle Proteins

Identifiers

PMID28924247
PMCPMC5603534
OpenAlexW2750760115

What Socratic 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 Socratic graph.