Evidence map›Paper›PMID 38108361›Full record

ArticleJournal of neuromuscular diseases2024

The West of Scotland Cohort of Mitochondrial Individuals with the m.3243A>G Variant: Variations in Phenotypes and Predictors of Disease Severity.

Charlie Saunders, Cheryl Longman, Grainne Gorman, Kelly James, Agata Oliwa, Richard Petty, Lesley Snadden, Maria Elena Farrugia

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neuromuscular diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 3 institutions in 1 country.

Charlie SaundersNeurology Department, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Cheryl LongmanGenetics Department, West Scotland Regional Genetics Service, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Grainne GormanWellcome Trust Centre for Mitochondrial Research, Newcastle University, Newcastle-upon-Tyne, UK.
Kelly JamesDepartment of Geographical and Earth Sciences, University of Glasgow, Glasgow, G20 8QQ, UK.
Agata OliwaGenetics Department, West Scotland Regional Genetics Service, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Richard PettyNeurology Department, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Lesley SnaddenGenetics Department, West Scotland Regional Genetics Service, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Maria Elena FarrugiaNeurology Department, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow G51 4TF, UK.
Queen Elizabeth University Hospital · GBUniversity of Glasgow · GBWellcome Centre for Mitochondrial Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe m.3243A>G variant is the commonest mitochondrial (mt) DNA pathogenic variant and a frequent cause of mitochondrial disease. Individuals present with a variety of clinical manifestations from diabetes to neurological events resembling strokes. Due to this, patients are commonly cared for by a multidisciplinary team.

objectivesThis project aimed to identify patients with confirmed mt.3243A>G-related mitochondrial disease attending the Muscle Clinic at Queen Elizabeth University Hospital in Glasgow. We explored potential correlates between clinical phenotypes and mtDNA heteroplasmy levels, HbA1c levels, body mass index, and specific clinical manifestations. We investigated if there were discrepancies between non-neurological speciality labelling in clinical records and individuals' phenotypes.

methodsData were gathered from the West of Scotland electronic records. Phenotypes were ascertained by a clinician with expertise in mitochondrial disorders. Statistical analyses were applied to study relationships between tissue heteroplasmy, HbA1c and clinical phenotypes including body mass index (BMI).

resultsForty-six individuals were identified from 31 unrelated pedigrees. Maternally inherited diabetes and deafness was the prominent syndromic phenotype (48%). A significant association was found between overall number of symptoms and bowel dysmotility (p < 0.01). HbA1c was investigated as a predictor of severity with potential association seen. Although used widely as a prognosticator, neither corrected blood nor urine mtDNA heteroplasmy levels were associated with increased number of symptoms. In 74.1% of records, syndromic phenotypes were incorrectly used by non-neurological specialities.

conclusionsThis m.3243 A > G patient cohort present with marked clinical heterogeneity. Urine and blood heteroplasmy levels are not reliable predictors of disease severity. HbA1c may be a novel predictor of disease severity with further research required to investigate this association. We infer that prognosis may be worse in patients with low BMIs and in those with bowel dysmotility. These results underscore a multidisciplinary approach and highlight a problem with inaccurate use of the existing nomenclature.

Indexed as

Mitochondrial DiseasesDeafnessDiabetes Mellitus, Type 2DNA, MitochondrialGlycated HemoglobinHumansPatient AcuityPhenotypeDNA, MitochondrialGlycated HemoglobinEpidemiologym.3243A>Gmitochondrial conditionsmitochondrial DNAmultidisciplinary team

Identifiers

PMID38108361
PMCPMC10789362
OpenAlexW4389781938

What OpenQuestion holds

Textmetadata
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.