Evidence map›Paper›PMID 22747838›Full record

ArticleBritish journal of pharmacology2012

Screening of effective pharmacological treatments for MELAS syndrome using yeasts, fibroblasts and cybrid models of the disease.

Juan Garrido-Maraver, Mario D Cordero, Irene Domínguez Moñino, Sheila Pereira-Arenas, Ana V Lechuga-Vieco, David Cotán, Mario De la Mata, Manuel Oropesa-Ávila, Manuel De Miguel, Juan Bautista Lorite and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Cell models and drug discovery for mitochondrial diseases.Journal of Zhejiang University. Science. B · 2019
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Coenzyme q10 therapy.Molecular syndromology · 2014
    Article
  15. CT and MRI imaging of the brain in MELAS syndrome.Polish journal of radiology · 2013
    Article
  16. Mitochondrial Myopathy in Follow-up of a Patient With Chronic Fatigue Syndrome.Journal of investigative medicine high impact case reports
    Article
  17. 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

16 authors at 11 institutions in 3 countries.

Juan Garrido-MaraverCentro Andaluz de Biología del Desarrollo (CABD) and Centro de Investigación Biomédica en Red: Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Universidad Pablo de Olavide-Consejo Superior de Investigaciones Científicas-Junta de Andalucía, Sevilla, Spain.
Mario D Cordero
Irene Domínguez Moñino
Sheila Pereira-Arenas
Ana V Lechuga-Vieco
David Cotán
Mario De la Mata
Manuel Oropesa-Ávila
Manuel De Miguel
Juan Bautista Lorite
Eloy Rivas Infante
Manuel Alvarez-Dolado
Plácido Navas
Sandra Jackson
Silvia Francisci
José A Sánchez-Alcázar
Centro de Investigación Biomédica en Red · ESCentre for Biomedical Network Research on Rare Diseases · ESCentro Andaluz de Biología del Desarrollo · ESCentro Andaluz de Biología Molecular y Medicina Regenerativa · ESConsejo Superior de Investigaciones Científicas · ESHospital Quirónsalud Sagrado Corazón · ESHospital Universitario Virgen del Rocío · ESInstituto de Salud Carlos III · ESJunta de Andalucía · ESSapienza University of Rome · ITUniversidad de Sevilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMELAS (mitochondrial encephalomyopathy, lactic acidosis and stroke-like episodes) is a mitochondrial disease most usually caused by point mutations in tRNA genes encoded by mitochondrial DNA (mtDNA). Approximately 80% of cases of MELAS syndrome are associated with a m.3243A > G mutation in the MT-TL1 gene, which encodes the mitochondrial tRNALeu (UUR). Currently, no effective treatments are available for this chronic progressive disorder. Treatment strategies in MELAS and other mitochondrial diseases consist of several drugs that diminish the deleterious effects of the abnormal respiratory chain function, reduce the presence of toxic agents or correct deficiencies in essential cofactors. EXPERIMENTAL APPROACH: We evaluated the effectiveness of some common pharmacological agents that have been utilized in the treatment of MELAS, in yeast, fibroblast and cybrid models of the disease. The yeast model harbouring the A14G mutation in the mitochondrial tRNALeu(UUR) gene, which is equivalent to the A3243G mutation in humans, was used in the initial screening. Next, the most effective drugs that were able to rescue the respiratory deficiency in MELAS yeast mutants were tested in fibroblasts and cybrid models of MELAS disease. KEY

resultsAccording to our results, supplementation with riboflavin or coenzyme Q(10) effectively reversed the respiratory defect in MELAS yeast and improved the pathologic alterations in MELAS fibroblast and cybrid cell models. CONCLUSIONS AND IMPLICATIONS: Our results indicate that cell models have great potential for screening and validating the effects of novel drug candidates for MELAS treatment and presumably also for other diseases with mitochondrial impairment.

Indexed as

FibroblastsModels, BiologicalSaccharomyces cerevisiaeAutophagyCell LineCells, CulturedDrug Evaluation, PreclinicalGenes, MitochondrialHumansMELAS SyndromeMutationReactive Oxygen SpeciesRiboflavinRNA, Transfer, LeuUbiquinonecoenzyme Q10Reactive Oxygen SpeciesRiboflavinRNA, Transfer, LeuUbiquinone

Identifiers

PMID22747838
PMCPMC3504996
OpenAlexW1874684536

What OpenQuestion holds

Textmetadata
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.