Evidence map›Paper›PMID 25271624›Full record

ArticleThe Journal of clinical investigation2014

Long-echo time MR spectroscopy for skeletal muscle acetylcarnitine detection.

Lucas Lindeboom, Christine I Nabuurs, Joris Hoeks, Bram Brouwers, Esther Phielix, M Eline Kooi, Matthijs K C Hesselink, Joachim E Wildberger, Robert D Stevens, Timothy Koves and 3 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03670693 (Non-invasive Approaches to Identify the Cause of Fatigue in Inflammatory Bowel Disease Patients), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.4field-weighted citation impact, top 4% 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.

NCT03670693 nacompletednot on this mapstarted 2018, after this paper: background citation

Non-invasive Approaches to Identify the Cause of Fatigue in Inflammatory Bowel Disease Patients

TypeinterventionalSponsorUniversity of NottinghamRan2018 to 2022Enrolled45ConditionsCrohn DiseaseArmsMuscle strength and fatigue assessment, Dual-energy X-ray absorptiometry (DEXA scan), Supine cardiorespiratory fitness assessment, fMRI Exercise assessment, Muscle deconditioning assessment
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. Molecular correlates of MRS-basedNMR in biomedicine · 2021
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  12. Advances inFrontiers in endocrinology · 2025
    Review
  13. Food science & nutrition · 2024
    Article
  14. Review
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  16. Postcontraction [acetylcarnitine] reflects interindividual variation in skeletal muscle ATP production patterns in vivo.American journal of physiology. Regulatory, integrative and comparative physiology · 2024
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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

13 authors at 1 institution in 1 country.

Lucas Lindeboom
Christine I Nabuurs
Joris Hoeks
Bram Brouwers
Esther Phielix
M Eline Kooi
Matthijs K C Hesselink
Joachim E Wildberger
Robert D Stevens
Timothy Koves
Deborah M Muoio
Patrick Schrauwen
Vera B Schrauwen-Hinderling
Duke University · US

Funding

TARGETED RESPONSIVE MR AND PET AGENTS FOR B-CELL IMAGINGP01DK058398 · NIDDK · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI MUOIO, DEBORAH M · 2000 to 2016
$26.1M
Role of Carnitine Acetyltransferase in Mitochondrial and Metabolic FunctionR01DK089312 · NIDDK · DUKE UNIVERSITY · PI DEBORAH M MUOIO · 2010 to 2026
$7.8M
NIDDK NIH HHS 2P01-DK058398NIDDK NIH HHS P01 DK058398NIDDK NIH HHS R01 DK089312NIDDK NIH HHS R01-DK089312
6 · The paper itself

Abstract

Animal models suggest that acetylcarnitine production is essential for maintaining metabolic flexibility and insulin sensitivity. Because current methods to detect acetylcarnitine involve biopsy of the tissue of interest, noninvasive alternatives to measure acetylcarnitine concentrations could facilitate our understanding of its physiological relevance in humans. Here, we investigated the use of long-echo time (TE) proton magnetic resonance spectroscopy (1H-MRS) to measure skeletal muscle acetylcarnitine concentrations on a clinical 3T scanner. We applied long-TE 1H-MRS to measure acetylcarnitine in endurance-trained athletes, lean and obese sedentary subjects, and type 2 diabetes mellitus (T2DM) patients to cover a wide spectrum in insulin sensitivity. A long-TE 1H-MRS protocol was implemented for successful detection of skeletal muscle acetylcarnitine in these individuals. There were pronounced differences in insulin sensitivity, as measured by hyperinsulinemic-euglycemic clamp, and skeletal muscle mitochondrial function, as measured by phosphorus-MRS (31P-MRS), across groups. Insulin sensitivity and mitochondrial function were highest in trained athletes and lowest in T2DM patients. Skeletal muscle acetylcarnitine concentration showed a reciprocal distribution, with mean acetylcarnitine concentration correlating with mean insulin sensitivity in each group. These results demonstrate that measuring acetylcarnitine concentrations with 1H-MRS is feasible on clinical MR scanners and support the hypothesis that T2DM patients are characterized by a decreased formation of acetylcarnitine, possibly underlying decreased insulin sensitivity.

Indexed as

AcetylcarnitineAdultAgedDiabetes Mellitus, Type 2FemaleHumansInsulin ResistanceMaleMiddle AgedMuscle, SkeletalObesityPhysical EnduranceProton Magnetic Resonance SpectroscopySedentary BehaviorYoung AdultAcetylcarnitine

Identifiers

PMID25271624
PMCPMC4347229
OpenAlexW2030844090

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.