ArticleOphthalmology. Retina2020
Juvenile Batten Disease (CLN3): Detailed Ocular Phenotype, Novel Observations, Delayed Diagnosis, Masquerades, and Prospects for Therapy.
Article in Ophthalmology. Retina, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Recommendations for the diagnosis and management of cln3 disease (batten disease) using the Delphi consensus methodology.Orphanet journal of rare diseases · 2026Guideline
- Functional ultrasound imaging reveals early pathway-specific reorganization of central visual circuits in a mouse model of Batten disease.Neurobiology of disease · 2026Article
- Visual Recovery and Neurological Stabilization Following Miglustat Treatment in Pediatric CLN3 Disease.Journal of child neurology · 2026Article
- Prospective pilot safety, feasibility study of an optic-to-audio device for children with CLN3 disease.Orphanet journal of rare diseases · 2026Article
- A timeline of symptom onset and disease progression in CLN3 disease.Orphanet journal of rare diseases · 2026Review
- Sex-specific and age-related progression of auditory neurophysiological deficits in the Cln3 mouse model of Batten disease.Journal of neurodevelopmental disorders · 2025Article
- Therapeutic antisense oligonucleotide mitigates retinal dysfunction in a pig model of CLN3 Batten disease.Nucleic acids research · 2025Article
- "My child can't see"-workup and management of children with low vision: a joint workshop of the AAPOS Low Vision Rehabilitation and Genetic Eye Diseases Committees.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2025Review
- Evidence of the impact of CLN2 and CLN3 Batten disease on families in the United Kingdom.Orphanet journal of rare diseases · 2025Article
- Speech, Language and Non-verbal Communication in CLN2 and CLN3 Batten Disease.Journal of inherited metabolic disease · 2025Article
- Mimickers of hydroxychloroquine retinal toxicity.Clinical & experimental ophthalmology · 2024Review
- Six induced pluripotent stem cell lines from fibroblasts of individuals with CLN3-related conditions.Stem cell research · 2024Article
- TRPML1 activation ameliorates lysosomal phenotypes in CLN3 deficient retinal pigment epithelial cells.Scientific reports · 2024Article
- A recessiveJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024Article
- PHYH c.678+5G>T Leads to In-Frame Exon Skipping and Is Associated With Attenuated Refsum Disease.Investigative ophthalmology & visual science · 2024Article
- Phenotypic variability observed in a Chinese patient cohort with biallelic variants in theMolecular vision · 2024Article
- Diagnostic Challenges inDiagnostics (Basel, Switzerland) · 2023Article
- A HomozygousGenes · 2023Article
- A novel porcine model of CLN3 Batten disease recapitulates clinical phenotypes.Disease models & mechanisms · 2023Article
- Early recognition of CLN3 disease facilitated by visual electrophysiology and multimodal imaging.Documenta ophthalmologica. Advances in ophthalmology · 2023Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeTo characterize the retinal phenotype of juvenile neuronal ceroid lipofuscinosis (JNCL), highlight delayed and mistaken diagnosis, and propose an algorithm for early identification.
designRetrospective case series.
participantsEight children (5 female) with JNCL.
methodsReview of clinical notes, retinal imaging including fundus autofluorescence and OCT, electroretinography (ERG), and both microscopy and molecular genetic testing. MAIN OUTCOME MEASUREMENTS: Demographic data, signs and symptoms, visual acuity (VA), fundus autofluorescence and OCT findings, ERG phenotype, and microscopy/molecular genetics.
resultsParticipants presented with rapid bilateral vision loss over 1 to 18 months, with mean VA deteriorating from 0.44 logarithm of the minimum angle of resolution (logMAR) (range, 0.20-1.78 logMAR) at baseline to 1.34 logMAR (0.30 logMAR - light perception) at last follow-up. Age of onset ranged from 3 to 7 years (mean, 5.3 years). The age at diagnosis of JNCL ranged from 7 to 10 years (mean, 8.3 years). Six children displayed eccentric fixation, and 6 children had cognitive or neurologic signs at the time of diagnosis (75%). Seven patients had bilateral bull's-eye maculopathy at presentation. Coats-like exudative vasculopathy, not previously reported in JNCL, was observed in 1 patient. OCT imaging revealed near complete loss of outer retinal layers and marked atrophy of the nerve fiber and ganglion cell layers at the central macula. An electronegative ERG was present in 4 patients (50%), but with additional a-wave reduction, there was an undetectable ERG in the remaining 4 patients. Blood film microscopy revealed vacuolated lymphocytes, and electron microscopy showed lysosomal (fingerprint) inclusions in all 8 patients.
conclusionsIn a young child with bilateral rapidly progressive vision loss and macular disturbance, blood film microscopy to detect vacuolated lymphocytes is a rapid, readily accessible, and sensitive screening test for JNCL. Early suspicion of JNCL can be aided by detailed directed history and high-resolution retinal imaging, with subsequent targeted microscopy/genetic testing. Early diagnosis is critical to ensure appropriate management, counseling, support, and social care for children and their families. Furthermore, although potential therapies for this group of disorders are in early-phase clinical trial, realistic expectations are that successful intervention will be most effective when initiated at the earliest stage of disease.
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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.