ReviewJournal of inherited metabolic disease2024
Disease models of Leigh syndrome: From yeast to organoids.
Review in Journal of inherited metabolic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Mitochondrial complex I deficiency-associated diseases and models.Cellular and molecular life sciences : CMLS · 2026Review
- Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.Nature communications · 2026Article
- Pluripotent stem-cell-based screening uncovers sildenafil as a mitochondrial disease therapy.Cell · 2026Article
- Dysfunctional LHX6 pallido-subthalamic projections mediate epileptic events in a mouse model of Leigh syndrome.The Journal of clinical investigation · 2025Article
- Expanding research and care for Leigh syndrome: efforts of a patient-led advocacy organization.Research involvement and engagement · 2025Article
- Leigh Syndrome: A Comprehensive Review of the Disease and Present and Future Treatments.Biomedicines · 2025Review
- The molecular mechanisms and physiological roles of mitochondria dynamics inMicrobial cell (Graz, Austria) · 2025Review
- Animal Models of Human Disease 2.0.International journal of molecular sciences · 2024Article
- Disease models of Leigh syndrome: From yeast to organoids.Journal of inherited metabolic disease · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Leigh syndrome (LS) is a severe mitochondrial disease that results from mutations in the nuclear or mitochondrial DNA that impairs cellular respiration and ATP production. Mutations in more than 100 genes have been demonstrated to cause LS. The disease most commonly affects brain development and function, resulting in cognitive and motor impairment. The underlying pathogenesis is challenging to ascertain due to the diverse range of symptoms exhibited by affected individuals and the variability in prognosis. To understand the disease mechanisms of different LS-causing mutations and to find a suitable treatment, several different model systems have been developed over the last 30 years. This review summarizes the established disease models of LS and their key findings. Smaller organisms such as yeast have been used to study the biochemical properties of causative mutations. Drosophila melanogaster, Danio rerio, and Caenorhabditis elegans have been used to dissect the pathophysiology of the neurological and motor symptoms of LS. Mammalian models, including the widely used Ndufs4 knockout mouse model of complex I deficiency, have been used to study the developmental, cognitive, and motor functions associated with the disease. Finally, cellular models of LS range from immortalized cell lines and trans-mitochondrial cybrids to more recent model systems such as patient-derived induced pluripotent stem cells (iPSCs). In particular, iPSCs now allow studying the effects of LS mutations in specialized human cells, including neurons, cardiomyocytes, and even three-dimensional organoids. These latter models open the possibility of developing high-throughput drug screens and personalized treatments based on defined disease characteristics captured in the context of a defined cell type. By analyzing all these different model systems, this review aims to provide an overview of past and present means to elucidate the complex pathology of LS. We conclude that each approach is valid for answering specific research questions regarding LS, and that their complementary use could be instrumental in finding treatment solutions for this severe and currently untreatable disease.
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Registered trials
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.