Evidence mapPaperPMID 28969370Full record

ReviewBrain : a journal of neurology2017

Monitoring clinical progression with mitochondrial disease biomarkers.

Hannah E Steele, Rita Horvath, Jon J Lyon, Patrick F Chinnery

Open access · hybridAbstract readReview
In one paragraph

Review in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
  2. Karnofsky performance scale and modified Rankin scale as indicators of functional capacity in patients with mitochondrial disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
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  16. Cross-comparison of systemic and tissue-specific metabolomes in a mouse model of Leigh syndrome.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  17. Hypoxia ameliorates brain hyperoxia and NADMolecular genetics and metabolism · 2021
    Article
  18. Review
  19. Review
  20. Review
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 at 3 institutions in 1 country.

Hannah E SteeleWellcome Trust Centre for Mitochondrial Research, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK.
Rita HorvathWellcome Trust Centre for Mitochondrial Research, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK.
Jon J LyonGlaxoSmithKline, Molecular Safety and Disposition, Ware, SG12 0DP, UK.
Patrick F ChinneryDepartment of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Wellcome Centre for Mitochondrial Research · GBGlaxoSmithKline (United Kingdom) · GBMRC Mitochondrial Biology Unit · GB

Funding

European Research Council 309548Medical Research Council MC_PC_14101Medical Research Council MC_UP_1501/2Medical Research Council MR/N025431/1
6 · The paper itself

Abstract

Mitochondrial disorders are genetically determined metabolic diseases due to a biochemical deficiency of the respiratory chain. Given that multi-system involvement and disease progression are common features of mitochondrial disorders they carry substantial morbidity and mortality. Despite this, no disease-modifying treatments exist with clear clinical benefits, and the current best management of mitochondrial disease is supportive. Several therapeutic strategies for mitochondrial disorders are now at a mature preclinical stage. Some are making the transition into early-phase patient trials, but the lack of validated biomarkers of disease progression presents a challenge when developing new therapies for patients. This update discusses current biomarkers of mitochondrial disease progression including metabolomics, circulating serum markers, exercise physiology, and both structural and functional imaging. We discuss the advantages and disadvantages of each approach, and consider emerging techniques with a potential role in trials of new therapies.

Indexed as

BiomarkersCytokinesDisease ProgressionHumansMetabolomicsMitochondrial DiseasesNeuroimagingBiomarkersCytokinesbiomarkersdisease progressionmitochondrial diseasemitochondrial encephalomyopathymtDNA

Identifiers

PMID28969370
PMCPMC5841218
OpenAlexW2745195754

What Socratic 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 Socratic graph.