Evidence map›Paper›PMID 37027192›Full record

ArticleHuman molecular genetics2023

Skeletal muscle transcriptomics dissects the pathogenesis of Friedreich's ataxia.

Elisabetta Indelicato, Alexander Kirchmair, Matthias Amprosi, Stephan Steixner, Wolfgang Nachbauer, Andreas Eigentler, Nico Wahl, Galina Apostolova, Anne Krogsdam, Rainer Schneider and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Skeletal Muscle Involvement in Friedreich Ataxia.International journal of molecular sciences · 2024
    Review
  8. 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

13 authors at 2 institutions in 1 country.

Elisabetta IndelicatoCenter for Rare Movement Disorders Innsbruck, Medical University of Innsbruck, Innsbruck 6020, Austria.
Alexander KirchmairBiocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck 6020, Austria.
Matthias AmprosiCenter for Rare Movement Disorders Innsbruck, Medical University of Innsbruck, Innsbruck 6020, Austria.
Stephan SteixnerInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Wolfgang NachbauerCenter for Rare Movement Disorders Innsbruck, Medical University of Innsbruck, Innsbruck 6020, Austria.
Andreas EigentlerCenter for Rare Movement Disorders Innsbruck, Medical University of Innsbruck, Innsbruck 6020, Austria.
Nico WahlInstitute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
Galina ApostolovaInstitute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
Anne KrogsdamBiocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck 6020, Austria.
Rainer SchneiderInstitute of Biochemistry, Leopold Franzens University, Innsbruck 6020, Austria.
Julia WanschitzDepartment of Neurology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Zlatko TrajanoskiBiocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck 6020, Austria.
Sylvia BoeschCenter for Rare Movement Disorders Innsbruck, Medical University of Innsbruck, Innsbruck 6020, Austria.
Innsbruck Medical University · ATUniversität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn Friedreich's ataxia (FRDA), the most affected tissues are not accessible to sampling and available transcriptomic findings originate from blood-derived cells and animal models. Herein, we aimed at dissecting for the first time the pathophysiology of FRDA by means of RNA-sequencing in an affected tissue sampled in vivo.

methodsSkeletal muscle biopsies were collected from seven FRDA patients before and after treatment with recombinant human Erythropoietin (rhuEPO) within a clinical trial. Total RNA extraction, 3'-mRNA library preparation and sequencing were performed according to standard procedures. We tested for differential gene expression with DESeq2 and performed gene set enrichment analysis with respect to control subjects.

resultsFRDA transcriptomes showed 1873 genes differentially expressed from controls. Two main signatures emerged: (1) a global downregulation of the mitochondrial transcriptome as well as of ribosome/translational machinery and (2) an upregulation of genes related to transcription and chromatin regulation, especially of repressor terms. Downregulation of the mitochondrial transcriptome was more profound than previously shown in other cellular systems. Furthermore, we observed in FRDA patients a marked upregulation of leptin, the master regulator of energy homeostasis. RhuEPO treatment further enhanced leptin expression.

interpretationOur findings reflect a double hit in the pathophysiology of FRDA: a transcriptional/translational issue and a profound mitochondrial failure downstream. Leptin upregulation in the skeletal muscle in FRDA may represent a compensatory mechanism of mitochondrial dysfunction, which is amenable to pharmacological boosting. Skeletal muscle transcriptomics is a valuable biomarker to monitor therapeutic interventions in FRDA.

Indexed as

ErythropoietinFriedreich AtaxiaAnimalsHumansIron-Binding ProteinsLeptinMuscle, SkeletalRNATranscriptomeErythropoietinIron-Binding ProteinsLeptinRNA

Identifiers

PMID37027192
PMCPMC10281753
OpenAlexW4362693040

What OpenQuestion holds

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LicenceCC BY-NC
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.