Evidence map›Paper›PMID 31296900›Full record

ArticleScientific reports2019

Metabolomics Analysis of Skeletal Muscles from FKRP-Deficient Mice Indicates Improvement After Gene Replacement Therapy.

Charles Harvey Vannoy, Victoria Leroy, Katarzyna Broniowska, Qi Long Lu

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Treatabolome for finely targeting muscle pathology in LGMD.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Science advances · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Complementary NADSkeletal muscle · 2020
    Article
  13. Observational
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

4 authors.

Charles Harvey VannoyMcColl-Lockwood Laboratory for Muscular Dystrophy Research, Carolinas Medical Center, Atrium Health, Charlotte, NC, 28203, USA. charles.vannoy@atriumhealth.org.ORCID http://orcid.org/0000-0003-3617-8081
Victoria LeroyMcColl-Lockwood Laboratory for Muscular Dystrophy Research, Carolinas Medical Center, Atrium Health, Charlotte, NC, 28203, USA.
Katarzyna BroniowskaMetabolon, Inc., Morrisville, NC, 27560, USA.
Qi Long LuMcColl-Lockwood Laboratory for Muscular Dystrophy Research, Carolinas Medical Center, Atrium Health, Charlotte, NC, 28203, USA. qi.lu@atriumhealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscular dystrophy-dystroglycanopathies comprise a heterogeneous and complex group of disorders caused by loss-of-function mutations in a multitude of genes that disrupt the glycobiology of α-dystroglycan, thereby affecting its ability to function as a receptor for extracellular matrix proteins. Of the various genes involved, FKRP codes for a protein that plays a critical role in the maturation of a novel glycan found only on α-dystroglycan. Yet despite knowing the genetic cause of FKRP-related dystroglycanopathies, the molecular pathogenesis of disease and metabolic response to therapeutic intervention has not been fully elucidated. To address these challenges, we utilized mass spectrometry-based metabolomics to generate comprehensive metabolite profiles of skeletal muscle across diseased, treated, and normal states. Notably, FKRP-deficient mice elicit diverse metabolic abnormalities in biomarkers of extracellular matrix remodeling and/or aging, pentoses/pentitols, glycolytic intermediates, and lipid metabolism. More importantly, the restoration of FKRP protein activity following AAV-mediated gene therapy induced a substantial correction of these metabolic impairments. While interconnections of the affected molecular mechanisms remain unclear, our datasets support the notion that global metabolic profiling can be valuable for determining the involvement of previously unsuspected regulatory or pathological pathways as well as identifying potential targets for drug discovery and diagnostics.

Indexed as

AnimalsDystroglycansGenetic TherapyGlycosylationHumansLipid MetabolismMetabolomicsMiceMice, Inbred C57BLMice, KnockoutMuscle, SkeletalMuscular DystrophiesMuscular Dystrophy, AnimalMutationPentosyltransferasesDystroglycansFkrp protein, mousePentosyltransferases

Identifiers

PMID31296900
PMCPMC6624266

What OpenQuestion holds

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Registered trials

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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.