Evidence map›Paper›PMID 41318849›Full record

ReviewEye (London, England)2026

Advanced therapies for inherited optic neuropathies.

David Chuen Soong Wong, Rahul Makam, Patrick Yu-Wai-Man

Abstract readReview
In one paragraph

Review in Eye (London, England), 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

3 authors.

David Chuen Soong WongJohn van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1712-9527
Rahul MakamJohn van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9077-8945
Patrick Yu-Wai-ManJohn van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK. py237@cam.ac.uk.ORCID 0000-0001-7847-9320

Funding

DH | National Institute for Health Research (NIHR) NIHR301696Rosetrees Trust PGL23/100048
6 · The paper itself

Abstract

Inherited optic neuropathies (IONs), such as Leber hereditary optic neuropathy (LHON) and autosomal dominant optic atrophy (ADOA), typically lead to irreversible severe vision loss due to mitochondrial dysfunction causing retinal ganglion cell degeneration. Although current treatment options are limited, substantial progress has been made recently in our understanding of the molecular genetic pathways that lead to retinal ganglion cell loss. Clinical trials for LHON have demonstrated the efficacy of idebenone, an oral neuroprotective agent, and gene replacement therapy using allotopic gene expression. Early phase clinical trials are underway for ADOA caused by variants in the nuclear gene OPA1 using innovative techniques to modulate gene expression in a variant-agnostic manner. In this review, we have critically appraised a range of therapeutic strategies, including gene editing and stem cell-based optic nerve regeneration, with a discussion of the barriers to translation. Future studies focussing on understanding genetic heterogeneity, disease variability and optimising patient selection for clinical trials are essential to improve patient management and fast track transformative therapies for IONs.

Indexed as

Genetic TherapyOptic Atrophy, Autosomal DominantOptic Atrophy, Hereditary, LeberGene EditingHumansNerve RegenerationStem Cell Transplantation

Identifiers

PMID41318849
PMCPMC12830909

What OpenQuestion holds

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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 OpenQuestion graph.