Evidence map›Paper›PMID 24610788›Full record

Trial reportNMR in biomedicine2014

Exercising calf muscle T₂∗ changes correlate with pH, PCr recovery and maximum oxidative phosphorylation.

Albrecht Ingo Schmid, Kiril Schewzow, Georg Bernd Fiedler, Sigrun Goluch, Elmar Laistler, Michael Wolzt, Ewald Moser, Martin Meyerspeer

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in NMR in biomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. NMR in biomedicine · 2025
    Pooled it
  2. Trial
  3. Dynamic multivoxel-localizedNMR in biomedicine · 2018
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Post-exercise intramuscular OThe Journal of physiology · 2021
    Article
  12. InterleavedMagnetic resonance in medicine · 2020
    Article
  13. NMR in biomedicine · 2020
    Article
  14. Review
  15. MR compatible ergometers for dynamicJournal of applied biomedicine · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Albrecht Ingo SchmidCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria; MR Centre of Excellence, Medical University of Vienna, Lazarettgasee 14, 1090, Wien, Austria.
Kiril Schewzow
Georg Bernd Fiedler
Sigrun Goluch
Elmar Laistler
Michael Wolzt
Ewald Moser
Martin Meyerspeer
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle metabolism is impaired in disorders like diabetes mellitus or peripheral vascular disease. The skeletal muscle echo planar imaging (EPI) signal (S(EPI) ) and its relation to energy metabolism are still debated. Localised ³¹P MRS and S(EPI) data from gastrocnemius medialis of 19 healthy subjects were combined in one scanning session to study direct relationships between phosphocreatine (PCr), pH kinetics and parameters of T₂∗ time courses. Dynamic spectroscopy (semi-LASER) and EPI were performed immediately before, during and after 5 min of plantar flexions. Data were acquired in a 7 T MR scanner equipped with a custom-built ergometer and a dedicated ³¹P/¹H radio frequency (RF) coil array. Using a form-fitted multi-channel ³¹P/¹H coil array resulted in high signal-to-noise ratio (SNR). PCr and pH in the gastrocnemius medialis muscle were quantified from each ³¹P spectrum, acquired every 6 s. During exercise, SEPI (t) was found to be a linear function of tissue pH(t) (cross-correlation r = -0.85 ± 0.07). Strong Pearson's correlations were observed between post exercise time-to-peak (TTP) of SEPI and (a) the time constant of PCr recovery τPCr recovery (r = 0.89, p < 10⁻⁶), (b) maximum oxidative phosphorylation using the linear model, Q(max, lin) (r = 0.65, p = 0.002), the adenosine-diphosphate-driven model, Q(max,ADP) (r = 0.73, p = 0.0002) and (c) end exercise pH (r = 0.60, p = 0.005). Based on combined accurately localised ³¹P MRS and T₂∗ weighted MRI, both with high temporal resolution, strong correlations of the skeletal muscle SEPI during exercise and tissue pH time courses and of post exercise SEPI and parameters of energy metabolism were observed. In conclusion, a tight coupling between skeletal muscle metabolic activity and tissue T₂∗ signal weighting, probably induced by osmotically driven water shift, exists and can be measured non-invasively, using NMR at 7 T.

Indexed as

Magnetic Resonance ImagingOxidative PhosphorylationAdultDemographyEcho-Planar ImagingExerciseFemaleHumansHydrogen-Ion ConcentrationLegMaleMuscle, SkeletalPhosphocreatineTime FactorsYoung AdultPhosphocreatinephosphocreatinine31P MRS7 Teslaenergy metabolismexercisepHplantar flexionskeletal muscleT*2

Identifiers

PMID24610788
PMCPMC4260669
OpenAlexW1548080932

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.