101. Proteome Analysis of Human Perilymph Using an Intraoperative Sampling Method
- Author
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Andreas Pich, Günter Reuter, Anke Schröder, Thomas Lenarz, Giorgio Lilli, H Schmitt, and Verena Scheper
- Subjects
0301 basic medicine ,Adult ,Proteomics ,Pathology ,medicine.medical_specialty ,Proteome ,Hearing Loss, Sensorineural ,Perilymph ,Biochemistry ,Sampling Studies ,03 medical and health sciences ,0302 clinical medicine ,Cerebrospinal fluid ,otorhinolaryngologic diseases ,medicine ,Humans ,Inner ear ,Child ,Aged ,Aged, 80 and over ,Absolute threshold of hearing ,medicine.diagnostic_test ,business.industry ,Infant ,Proteins ,General Chemistry ,Middle Aged ,medicine.disease ,Cochlea ,030104 developmental biology ,medicine.anatomical_structure ,Gene Ontology ,Child, Preschool ,Sensorineural hearing loss ,sense organs ,Audiometry ,business ,030217 neurology & neurosurgery - Abstract
The knowledge about the etiology and pathophysiology of sensorineural hearing loss (SNHL) is still very limited. This study aims at the improvement of understanding different types of SNHL by proteome analysis of human perilymph. Sampling of perilymph was established during inner ear surgeries (cochlear implantation, vestibular schwannoma surgeries), and safety of the sampling method was determined by checking hearing threshold with pure-tone audiometry postoperatively. An in-depth shot-gun proteomics approach was performed to identify cochlear proteins and the individual proteome in perilymph of patients. This method enables the identification and quantification of protein composition of perilymph. The proteome of 41 collected perilymph samples with volumes of 1-12 μL was analyzed by data-dependent acquisition, resulting in overall 878 detected protein groups. At least 203 protein groups were solely identified in perilymph, not in reference samples (serum, cerebrospinal fluid), displaying a specific protein pattern for perilymph. Samples were grouped by patient's age and surgery type, leading to the identification of some proteins specific to particular subgroups. Proteins with different abundances between different sample groups were subjected to classification by gene ontology annotations. The identified proteins might serve as biomarkers to develop tools for noninvasive inner ear diagnostics and to elucidate molecular profiles of SNHL.
- Published
- 2017