SynthesisJournal of the Association for Research in Otolaryngology : JARO2023
Screening for Circulating Inflammatory Proteins Does Not Reveal Plasma Biomarkers of Constant Tinnitus.
Synthesis in Journal of the Association for Research in Otolaryngology : JARO, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Whole-Brain Structural Connectivity Alterations in Chronic Subjective Tinnitus: An Exploratory Diffusion Tensor Imaging Study.Brain sciences · 2026Article
- Tinnitus and tinnitus disorder: Genetic, neurobiological, and clinical differentiation.iScience · 2026Review
- Article
- Application of neurodegenerative disease treatment strategies in tinnitus: mechanisms, translation, and prospects.Frontiers in aging neuroscience · 2026Review
- [Tinnitus-current developments : Overview and summary of current state of knowledge in 2024].HNO · 2025Review
- Dual-Omics Mapping of Tinnitus Phenotype Transition in Noise-Exposed Auditory Cortex.Cellular and molecular neurobiology · 2025Article
- Common inflammatory proteins linking frailty and area-level deprivation as key drivers of cardiovascular risk in women.Communications medicine · 2025Article
- A Genetic and Environmental Analysis of Inflammatory Factors in Chronic Widespread Pain Using the TwinsUK Cohort.Biomolecules · 2025Article
- Quantitative sensory testing and chronic pain syndromes: a cross-sectional study from TwinsUK.BMJ open · 2024Article
- Investigating the causal relationship between inflammation and multiple types of hearing loss: a multi-omics approach combining Mendelian randomization and molecular docking.Frontiers in neurology · 2024Article
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Authors and funding
13 authors.
Funding
Abstract
BACKGROUND AND
objectiveTinnitus would benefit from an objective biomarker. The goal of this study is to identify plasma biomarkers of constant and chronic tinnitus among selected circulating inflammatory proteins.
methodsA case-control retrospective study on 548 cases with constant tinnitus and 548 matched controls from the Swedish Tinnitus Outreach Project (STOP), whose plasma samples were examined using Olink's Inflammatory panel. Replication and meta-analysis were performed using the same method on samples from the TwinsUK cohort. Participants from LifeGene, whose blood was collected in Stockholm and Umeå, were recruited to STOP for a tinnitus subtyping study. An age and sex matching was performed at the individual level. TwinsUK participants (n = 928) were selected based on self-reported tinnitus status over 2 to 10 years. Primary outcomes include normalized levels for 96 circulating proteins, which were used as an index test. No reference standard was available in this study.
resultsAfter adjustment for age, sex, BMI, smoking, hearing loss, and laboratory site, the top proteins identified were FGF-21, MCP4, GDNF, CXCL9, and MCP-1; however, these were no longer statistically significant after correction for multiple testing. Stratification by sex did not yield any significant associations. Similarly, associations with hearing loss or other tinnitus-related comorbidities such as stress, anxiety, depression, hyperacusis, temporomandibular joint disorders, and headache did not yield any significant associations. Analysis in the TwinsUK failed in replicating the top candidates. Meta-analysis of STOP and TwinsUK did not reveal any significant association. Using elastic net regularization, models exhibited poor predictive capacity tinnitus based on inflammatory markers [sensitivity = 0.52 (95% CI 0.47-0.57), specificity = 0.53 (0.48-0.58), positive predictive value = 0.52 (0.47-0.56), negative predictive values = 0.53 (0.49-0.58), and AUC = 0.53 (0.49-0.56)]. DISCUSSION: Our results did not identify significant associations of the selected inflammatory proteins with constant tinnitus. Future studies examining longitudinal relations among those with more severe tinnitus and using more recent expanded proteomics platforms and sampling of cerebrospinal fluid could increase the likelihood of identifying relevant molecular biomarkers.
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