Evidence map›Paper›PMID 42271506›Full record

SynthesisOrphanet journal of rare diseases2026

Mitochondrial mutation status, symptom prevalence, and neuroimaging characteristics in MELAS: a systematic review and meta analysis.

Yanyan Li, Siying Han, Daiyun Huang, Jiayi Chen, Siying Qu, Jinxin Gu, Zhuoyan Xu, Lei Fu, Xiaoyu Tang, Yixue Qiao

Abstract readSystematic ReviewMeta-AnalysisReview
In one paragraph

Synthesis in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yanyan Li *Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Siying Han *Department of Biostatistics, Boston University, Boston, MA, USA.
Daiyun HuangWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Jiayi ChenWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Siying QuWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Jinxin GuWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Zhuoyan XuWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Lei FuWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xiaoyu TangWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China. Xiaoyu.Tang@xjtlu.edu.cn.
Yixue QiaoWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China. Yixue.Qiao@xjtlu.edu.cn.

Funding

SIP High-Quality Innovation Platform for Chronic Diseases YZCXPT2022203
6 · The paper itself

Abstract

backgroundMitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes (MELAS) is a rare mitochondrial disorder characterized by a wide range of systemic manifestations. MELAS is challenging to diagnose in its early stages and currently lacks targeted treatments. This systematic review and meta-analysis aim to validate the mitochondrial 3243A > G (m.3243A > G) mutation status, symptom prevalence, and neuroimaging characteristics in patients with MELAS. The review also seeks to consolidate and clarify the pathogenic pathways of MELAS while pinpointing potential therapeutic targets. MAIN BODY: We searched four databases for relevant studies. Study selection, data extraction, and quality assessment using the JBI (Joanna Briggs Institute) scale were performed by two reviewers. We conducted meta-analyses to estimate the pooled proportions for genetic, symptomatic, and imaging features using the random-effects generalized linear mixed model. In addition, seven MELAS-related pathways were researched, and their gene information was expanded through computational retrieval from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome databases. A total of 13 studies involving 988 subjects were included, covering one mutant gene (m.3243A > G), ten clinical symptoms, and four imaging features. The meta-analyses showed a pooled m.3243A > G mutation prevalence of 78% (95% CI: 68%, 86%). The most frequent clinical manifestations were stroke-like episodes (99%; 95% CI: 29%, 100%), seizures (89%; 95% CI: 65%, 97%), and elevated lactate (81%; 95% CI: 50%, 95%). The temporal lobe was the most commonly affected brain region on imaging (87%; 95% CI: 13%, 100%). Pathway analysis revealed mitophagy/autophagy, ROS generation, and energy metabolism as core mechanisms in MELAS, with MNRR1, L-arginine, PI3K-AKT-mTOR, and ETC as potential therapeutic targets.

conclusionThis study collects evidence for the confirmatory diagnosis of MELAS, integrating its genetic, clinical, and neuroimaging spectra. Furthermore, by elucidating the core pathological network, our work provides a potential framework for developing multi-targeted therapeutic strategies.

Indexed as

MELAS SyndromeMitochondriaMutationNeuroimagingDNA, MitochondrialHumansPrevalenceDNA, Mitochondrialm.3243A > G mutationMELASMeta analysisNeuroimagingSymptom prevalenceTherapeutic target prediction

Identifiers

PMID42271506
PMCPMC13487938

What Socratic holds

Textmetadata
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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.