| Literature DB >> 31293504 |
Athanasia Warnecke1,2, Nils K Prenzler1, Heike Schmitt1,2, Kerstin Daemen3, Jana Keil3, Martin Dursin1, Thomas Lenarz1,2, Christine S Falk3.
Abstract
The molecular pathomechanisms in the majority of patients suffering from acute or progressive sensorineural hearing loss cannot be determined yet. The size and the complex architecture of the cochlea make biopsy and in-depth histological analyses impossible without severe damage of the organ. Thus, histopathology correlated to inner disease is only possible after death. The establishment of a technique for perilymph sampling during cochlear implantation may enable a liquid biopsy and characterization of the cochlear microenvironment. Inflammatory processes may not only participate in disease onset and progression in the inner ear, but may also control performance of the implant. However, little is known about cytokines and chemokines in the human inner ear as predictive markers for cochlear implant performance. First attempts to use multiplex protein arrays for inflammatory markers were successful for the identification of cytokines, chemokines, and endothelial markers present in the human perilymph. Moreover, unsupervised cluster and principal component analyses were used to group patients by lead cytokines and to correlate certain proteins to clinical data. Endothelial and epithelial factors were detected at higher concentrations than typical pro-inflammatory cytokines such as TNF-a or IL-6. Significant differences in VEGF family members have been observed comparing patients with deafness to patients with residual hearing with significantly reduced VEGF-D levels in patients with deafness. In addition, there is a trend toward higher IGFBP-1 levels in these patients. Hence, endothelial and epithelial factors in combination with cytokines may present robust biomarker candidates and will be investigated in future studies in more detail. Thus, multiplex protein arrays are feasible in very small perilymph samples allowing a qualitative and quantitative analysis of inflammatory markers. More results are required to advance this method for elucidating the development and course of specific inner ear diseases or for perioperative characterization of cochlear implant patients.Entities:
Keywords: chemokines; cochlear implantation; cytokines; endothelial factors; hearing loss; neuroinflammation; perilymph
Year: 2019 PMID: 31293504 PMCID: PMC6603180 DOI: 10.3389/fneur.2019.00665
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Overview of demographic data of CI patients.
| Age (mean; range) | 45.2 (0.7–87.1) | 43.12 ± 4.8 | 56.0 ± 6.4 | 0.27 (n.s.) |
| Sex (m/f) percentages | 26/18 (59/41%) | 15/12 (56/44%) | 5/2 (71/29%) |
A list of all proteins included in the human 27-plex and cancer panel 2 arrays.
| FGF basic | Angiopoietin-2 |
| Eotaxin | sCD40L |
| G-CSF | EGF |
| GM-CSF | Endoglin |
| IFN-γ | sFASL |
| IL-1β | HB-EGF |
| IL-1ra | IGFBP-1 |
| L-2 | IL-6 |
| IL-4-IL10 | IL-8 |
| IL-12 (p70) | IL-18 |
| IL-13 | PAI-1 |
| IL-15 | PLGF |
| IL-17A | TGF-α |
| IP-10 | TNF-α |
| MCP-1 (MCAF) | uPA |
| MIP-1α | VEGF-A |
| MIP-1β | VEGF-C |
| PDGF-BB | VEGF-D |
| RANTES | |
| TNF-α | |
| VEGF |
Figure 1Cytokine/chemokine and tissue factor composition of human perilymph fluid. (A) Human perilymph fluid comprises high concentrations of epithelial and endothelial proteins like IGFPB1, VEGF-A,-C,-D, some innate cytokines like IL-6, followed by chemokines and typical cytokines of the adaptive immune system like IFN-g, I-17, etc. Concentrations were determined from n = 44 perilymph samples, median concentrations ± SEM are displayed in a waterfall plot. (B) In order to show that most proteins were detected in all patient, the concentrations of individual proteins are shown for each sample using log scale graphs.
Figure 2Definition of patient subgroups according to hierarchical clustering, principal component analyses. (A) Concentrations of 43 proteins from 44 perilymph samples were log-normalized with a threshold of 0.01 and filtered to p < 0.05 with q = 0.2 and visualized using hierarchical cluster and (B) PCA algorithms (Qlucore Omics 3.6 Software). Patient subgroups were defined by significantly high IGFBP1, IL-1b, and IL-6 concentrations, respectively, indicated by the color code shown in (B). (C) Descriptive statistics were applied to the four patient groups using raw protein concentrations and Kruskal-Wallis tests with p < 0.05 defined as significant and marked with an asterisk (*).
Figure 3Definition of differences between patients with complete hearing loss vs. residual hearing capacity. Patients were grouped according to their acoustical performance at the time of CI with a hearing cut-off of <80 for patients with residual hearing (RH) vs. complete deafness (surditas SDT). Mann-Whitney-u-tests were performed for (A) VEGF-D, IL-13, and IL-9 and (B) VEGF-A, -C, and IGFBP1, respectively, with differences p < 0.05 defined as significant and marked with (*) and p < 0.001 with (**).