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Neurosensory Affectation in Patients Affected by Wolfram Syndrome: Descriptive and Longitudinal Analysis
Gema Esteban-Bueno1,2, Aída María Berenguel Hernández3, Nicolás Fernández Fernández4
1Clinical Management Unit Almería Periphery-Almería Health District, Andalusian Health Service, 04120 Costacabana, Almería, Spain.
Healthcare (Basel, Switzerland)
|July 14, 2023
Summary
Early detection of sensorineural hearing loss in Wolfram syndrome (WS) is crucial. This study identifies key audiological tests and genetic markers for better diagnosis, monitoring, and management of this rare neurodegenerative disease.
Area of Science:
- Neuroscience
- Genetics
- Audiology
Background:
- Wolfram syndrome (WS) is a rare, autosomal recessive neurodegenerative disorder.
- Sensorineural hearing loss is a fundamental but understudied aspect of WS.
- Standardized assessment protocols are needed for effective patient management.
Purpose of the Study:
- To comprehensively understand Wolfram syndrome from a biomedical perspective.
- To establish a set of essential tests for diagnosing and monitoring WS patients.
- To correlate genotype with phenotype, specifically hearing loss severity.
Main Methods:
- Utilized audiological assessments including pure-tone audiometry, tympanometry, speech perception, speech intelligibility index, and high-frequency testing.
- Employed mixed linear models to analyze age, time, and interaction effects on auditory measures (IPT, HFA, ABR, BAEP).
- Conducted genetic analysis to classify mutations and correlate them with clinical phenotypes.
Main Results:
- Audiological measurements were identified as suitable for standardized WS follow-up.
- Genetic analysis revealed three phenotype-genotype groups, with homozygous gene changes linked to more severe neurosensory deficits.
- Mixed linear models provided insights into the progression of auditory impairments.
Conclusions:
- Early identification of sensorineural hearing loss in WS is critical for timely intervention.
- A defined set of audiological and genetic tests facilitates efficient diagnosis, follow-up, and control of WS.
- Understanding the genotype-phenotype relationship aids in predicting disease severity and tailoring treatment.
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