Twin and adoption studies point towards a genetic contribution to tinnitus; however, how the genetic risk applies to different forms of tinnitus is poorly understood. Here, we perform a familial aggregation study and determine the relative recurrence risk for tinnitus in siblings (λs). Four different Swedish studies (N = 186,598) were used to estimate the prevalence of self-reported bilateral, unilateral, constant, and severe tinnitus in the general population and we defined whether these 4 different forms of tinnitus segregate in families from the Swedish Tinnitus Outreach Project (STOP, N = 2305). We implemented a percentile bootstrap approach to provide accurate estimates and confidence intervals for λs. We reveal a significant λs for all types of tinnitus, the highest found being 7.27 (95% CI (5.56-9.07)) for severe tinnitus, with a higher susceptibility in women (10.25; 95% CI (7.14-13.61)) than in men (5.03; 95% CI (3.22-7.01)), suggesting that severity may be the most genetically influenced trait in tinnitus in a sex-dependent manner. Our findings strongly support the notion that genetic factors impact on the development of tinnitus, more so for severe tinnitus. These findings highlight the importance of considering tinnitus severity and sex in the design of large genetic studies to optimize diagnostic approaches and ultimately improve therapeutic interventions.
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http://dx.doi.org/10.3390/jcm9123812 | DOI Listing |
J Neurol Surg B Skull Base
February 2025
Department of Neurosurgery, UC San Diego Medical Center, San Diego, California, United States.
Many patients with neurofibromatosis type 2 (NF2) suffer from sensorineural hearing loss, and associated cochlear nerve compromise in NF2 patients makes auditory brainstem implant (ABI) an attractive treatment option. The long-term outcomes and benefits of the device are still being explored. A retrospective review was conducted for 11 ABI recipients at a single-institution tertiary center between November 2017 and August 2022.
View Article and Find Full Text PDFInt J Audiol
January 2025
Department of Audiology, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
Objective: Tinnitus and its pathophysiological mechanisms need more investigation because tinnitus may change the typical processing of sounds in the auditory system. Poor temporal resolution, which is not assessed with conventional subjective tinnitus evaluations, has been reported in some tinnitus sufferers.
Design: This study used a gap-in-noise paradigm to assess temporal resolution in tinnitus sufferers using both behavioural and electrophysiologic methods.
Cien Saude Colet
January 2025
Departamento de Química, Universidade do Oeste Paulista. São Paulo SP Brasil.
The scope of this study was to assess the ototoxic effects and general health of farmers exposed to pesticides in the Pontal do Paranapanema region, SP, Brazil. Participants of both sexes aged 18-40, 40-60 and >60 years were allocated into two groups: Non-Exposed Group (NEG) and Occupationally Exposed Group (OEG). A questionnaire of exposure and health, meatoscopy, pure tone audiometry, logoaudiometry and immittanciometry were assessed.
View Article and Find Full Text PDFCureus
January 2025
Internal Medicine, University of Florida College of Medicine, Gainesville, USA.
Fibromuscular dysplasia (FMD) is a non-atherosclerotic, non-inflammatory vascular disease of medium-sized arteries that causes abnormal cellular growth in arterial walls and most commonly affects young to middle-aged women (20-50 years of age). While FMD often involves the renal arteries, it can affect any arterial bed. FMD has a characteristic angiographic appearance of a "string of beads.
View Article and Find Full Text PDFEar Hear
January 2025
San Francisco Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, California, USA.
Objectives: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production.
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