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. 2021 Oct 22;16(10):e0258977. doi: 10.1371/journal.pone.0258977

Upregulation of a nuclear factor-kappa B-interacting immune gene network in mice cochleae with age-related hearing loss

Kensuke Uraguchi 1, Yukihide Maeda 1,*, Junko Takahara 1, Ryotaro Omichi 1, Shohei Fujimoto 1, Shin Kariya 1, Kazunori Nishizaki 1, Mizuo Ando 1
Editor: Vasu Punj2
PMCID: PMC8535356  PMID: 34679122

Abstract

Epidemiological data suggest that inflammation and innate immunity play significant roles in the pathogenesis of age-related hearing loss (ARHL) in humans. In this mouse study, real-time RT-PCR array targeting 84 immune-related genes revealed that the expressions of 40 genes (47.6%) were differentially regulated with greater than a twofold change in 12-month-old cochleae with ARHL relative to young control mice, 33 (39.3%) of which were upregulated. These differentially regulated genes (DEGs) were involved in functional pathways for cytokine–cytokine receptor interaction, chemokine signaling, TNF signaling, and Toll-like receptor signaling. An NF-κB subunit, Nfkb1, was upregulated in aged cochleae, and bioinformatic analyses predicted that NF-κB would interact with the genomic regulatory regions of eight upregulated DEGs, including Tnf and Ptgs2. In aging cochleae, major proinflammatory molecules, IL1B and IL18rap, were upregulated by 6 months of age and thereafter. Remarkable upregulations of seven immune-related genes (Casp1, IL18r1, IL1B, Card9, Clec4e, Ifit1, and Tlr9) occurred at an advanced stage (between 9 and 12 months of age) of ARHL. Immunohistochemistry analysis of cochlear sections from the 12-month-old mice indicated that IL-18r1 and IL-1B were localized to the spiral ligament, spiral limbus, and organ of Corti. The two NF-κB-interacting inflammatory molecules, TNFα and PTGS2, immunolocalized ubiquitously in cochlear structures, including the lateral wall (the stria vascularis and spiral ligament), in the histological sections of aged cochleae. IBA1-positive macrophages were observed in the stria vascularis and spiral ligament in aged mice. Therefore, inflammatory and immune reactions are modulated in aged cochlear tissues with ARHL.

Introduction

Age-related hearing loss (ARHL; namely presbycusis) is a major medical and social issue in developed countries with rapidly aging populations. In the United States, approximately one third of the total population aged 65–74 years experiences ARHL, and nearly half of the population aged >75 years has hearing difficulties [1]. In Japan, which is the most rapidly aging country in the world, persons aged ≥65 years represented 28.1% of the total population in 2018, and this percentage is anticipated to reach approximately 40% by 2065 [2]. ARHL significantly affects the health of older adults, leading to difficulty in communication, mental disabilities such as depression and dementia, low quality of life, and decreased social activity [3]. The progression of ARHL is thought to involve multiple molecular mechanisms in the cochlea; therefore, it is important to elucidate the pathologic mechanisms underlying ARHL in the cochlea so that preventive and therapeutic treatments for ARHL can be developed.

Schuknecht divided the classical human histopathological findings of ARHL in the cochleae into four categories—sensory presbycusis, neural presbycusis, metabolic presbycusis, and conductive cochlear loss—according to the site of abnormalities in the microscopic cellular structures of the cochleae, including the hair cells, stria vascularis, and spiral neurons [4]. Experimental studies in the cochleae of mice with ARHL found that the cumulative effect of oxidative stress damages mitochondrial DNA, and in turn, mutations/deletions in mitochondrial DNA lead to a decline in mitochondrial function and apoptosis in cochlear cells [5, 6].

Epidemiological data suggest that inflammation and innate immunity play significant roles in the pathogenesis of ARHL in humans. Epidemiological studies have reported that elevations in serum C-reactive protein levels, neutrophil counts, and inflammatory cytokine interleukin (IL)-6 levels are associated with a higher risk of ARHL and worse hearing levels in older adults [7, 8]. However, data from animal experiments mechanistically demonstrating the involvement of inflammation and innate immunity in the pathology of ARHL in the cochleae are scarce [9, 10].

As an animal model of ARHL, inbred C57BL/6J mice exhibit the ARHL phenotype as early as 6 months of age [11]. Technically, gene expression studies by means of DNA microarray and next-generation sequencing (RNA-seq) allow genome-wide analyses of approximately 22,000 mice genes; however, real-time RT-PCR outperforms these technologies by enabling more accurate quantification of specific gene expressions encoding proteins with known functions. Therefore, in the first step of this study, the expression levels of 84 inflammatory and immune-related genes were analyzed by a real-time RT-PCR array in the cochleae of 12-month-old and 6–7-week-old C57BL/6J mice, and as many as 33 immune-related genes were found to be upregulated in cochleae of the older mice. In the second step, at which time points of the aging process (3-, 6-, 9-, and 12-month-old C57BL/6J mice) such upregulations of immune-related genes were observed was investigated. In the third step, immunohistochemical experiments were performed to clarify the histological localization of such immune-related gene/protein expressions in mice cochleae. These data help provide a more precise understanding of how the immune process occurs in the cochleae of aging mice with ARHL.

Materials and methods

Dissection of mice cochlear tissues and RNA extraction

All animal experiments were performed in compliance with the ethical standards approved by Okayama University’s Committee on the Use and Care of Animals (protocol Nos.: OKU-2018847, 2019396, 2019397, 2019398, and 2020549; principal investigator: Y.M.) and adhered to national and international standards of animal care.

For the extraction of cochlear RNA samples to perform PCR-based gene expression experiments, 6–7-week-old [young control mice], 12–13-week-old [3 months], 25–26-week-old [6 months], 38–39-week-old [9 months], and 52–54-week-old [12 months]) male C57BL/6J mice were obtained from Charles River Laboratories (Yokohama, Japan). For the dissection of cochlear samples from mice at 6–7 weeks (n = 6) and 3 (n = 6), 6 (n = 6), 9 (n = 6), and 12 months (n = 6), deeply anesthetized mice (intraperitoneal ketamine [80 mg/kg] and xylazine [8 mg/kg]) were euthanized via cervical dislocation. The cochlear tissues were promptly dissected into collection tubes containing RNA later reagent (Qiagen, Hilden, Germany). The samples were then incubated in RNA later (Qiagen) at 4°C for 24 h and stored frozen until RNA purification. The tissues were homogenized, and total RNA was purified using a miRNeasy mini column (Qiagen). The quantity and quality of the RNA samples were assessed using a spectrophotometer (NanoDrop™ One; Thermo Fisher Scientific, Waltham, MA, USA) and the Agilent 2100 Bioanalyzer system (Agilent Technologies, Santa Clara, CA, USA). One cochlear tissue was collected from a mouse, and >0.6 μg of total RNA with an RNA integrity number >8.0 was purified per one cochlear tissue.

Hearing levels in mice with ARHL

It was verified that 6- and 12-month-old male C57BL/6J mice exhibited significant ARHL based on click-auditory brainstem response (c-ABR) thresholds compared with younger 6–7-week-old male C57BL/6J mice. Hearing levels were assessed using the c-ABR as previously described [12]. Under anesthesia with intraperitoneal ketamine (80 mg/kg) and xylazine (8 mg/kg), click sounds were delivered to the ear in 5-dB steps from 90 dB sound pressure level (SPL) to 0 dB. c-ABR was recorded by needle electrodes inserted into the vertex and postauricular area as an averaged record of 1000 responses for each SPL. The c-ABR threshold was defined as the minimum SPL at which the c-ABR was clearly recognized. c-ABR thresholds in the young control mice (n = 7), 6-month-old mice (n = 10), and 12-month-old mice (n = 8) were compared using the Kruskal–Wallis and Mann–Whitney U tests.

Real-time RT-PCR array (RT2 Profiler™)

Between the cochleae of 12-month-old and 6–7-week-old mice, the differences in expression levels of 84 key genes actively involved in inflammatory and immune functions were analyzed using the RT2 Profiler™ PCR array (Qiagen). The RT2 Profiler™ PCR array is a 96-well plate spotted with specific primers for 84 targeted genes to each well. The targeted genes were those encoding cytokines (including chemokines and interleukins), their receptors and signaling molecules, and genes involved in acute, chronic, and intracellular inflammatory responses. The entire list of the 84 genes analyzed in the array is provided as S1 Table.

A cDNA library was synthesized by reverse-transcription of the RNA samples (500 ng) from the 12-month-old and 6–7-week-old cochleae using the RT2 First Strand Kit (Qiagen). With the cDNA libraries used as templates for the PCR reactions, the expression levels of 84 key genes related to inflammatory and immune functions were profiled by the mouse inflammation and autoimmunity RT2 Profiler™ PCR array (PAMM-077Z; Qiagen) using the LightCycler 480 real-time PCR system (Roche Diagnostics K.K., Tokyo, Japan) according to the manufacturer’s instructions. The PCR array experiment was performed in triplicate, and the gene expression levels were estimated using RT2 Profiler™ PCR array data analysis software (Qiagen). Differences in expression levels between the 12-month-old and 6–7-week-old mice were calculated based on the difference in ◿Ct values normalized to the levels of a housekeeping gene of heat shock protein 90-beta. P-values for differences in the expression levels between the 12-month-old and 6–7-week-old mice were assessed by Student’s t-test. If the expression level showed greater than a twofold change or less than a 0.5-fold change, and was significantly different (P<0.05), the gene was considered upregulated (greater than a twofold change) or downregulated (less than a 0.5-fold change) in the 12-month-old compared with the 6–7-week-old mice.

Gene specific real-time RT-PCR

The expression levels of nine inflammatory and immune-related genes were compared between the cochleae of 6–7-week-old (young control mice) and 3-, 6-, 9-, and 12-month-old mice by means of gene-specific real-time RT-PCR to investigate the time point when these inflammatory and immune-related gene expressions were modulated. The following nine immune-related genes were selected for the real-time RT-PCR analyses because our preliminary data, by means of next-generation sequencing (RNA-seq), suggested that these genes with important immune functions were upregulated in the cochleae of 12-month-old mice. In our preliminary data by RNA-seq, 800 genes were either upregulated (452 genes) or downregulated (348 genes) more than twofold in the aged cochleae of 12-month-old mice, compared with the cochleae of 6–7-week-old mice, and their functions were analyzed by bioinformatic analyses.

A cDNA library was synthesized by the reverse-transcription of the cochlear RNA samples (typically 500 ng) using the RT2 First Strand Kit (Qiagen). Real-time PCR was performed using RT2 SYBR Green qPCR Mastermix (Qiagen) and the specific primers for inflammatory and immune-related genes Casp1 (PPM02921E; RT2 qPCR Primer Assay, Qiagen), IL18r1 (PPM03555B), IL18rap (PPM03137A), IL1B (PPM03109F), Card9 (PPM40791A), Clec4e (PPM06261F), Ifit1 (1PPM05530E), Ifit3 (PPM06008B), and Tlr9 (PPM04221A) using a thermal cycler (PTC-200; CFX Connect™, BioRad, Hercules, CA, USA). The gene expression level in each sample was calculated according to the ΔΔCt method with normalization to the level of the internal control, Actb (beta actin; PPM02945B).

The levels in 6–7-week-old and 3-, 6-, 9-, and 12-month-old cochleae were expressed as the mean ± standard deviation (SD) and compared using analysis of variance and the Bonferroni post-hoc test (n = 6 for each time point, P<0.05). The specific primers for each gene were designed and experimentally verified for real-time PCR analyses by Qiagen. Information on the gene-specific primers is available on the Qiagen homepage (https://geneglobe.qiagen.com/product-groups/rt2-qpcr-primer-assays).

Bioinformatic analyses of functions of the differentially expressed genes (DEGs)

Real-time RT-PCR array experiments generated a list of differentially expressed genes (DEGs), which were significantly upregulated (greater than a twofold change) or downregulated (less than a 0.5-fold change) in the cochleae of the 12-month-old mice as compared with the 6–7-week-old mice (P<0.05 by t-test).

First, the biological pathways associated with these DEGs were investigated using the Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway analysis with the David Bioinformatics Resources 6.8 web-based genome database (https://david.ncifcrf.gov/) [13, 14]. The KEGG pathway is the annotation of functional gene pathways involving a group of genes. If a subset of DEGs is identified in abundance in a KEGG pathway with a P-value <0.05 and a false discovery rate (FDR) <0.05, these DEGs are considered as significantly enriching this pathway with a specific biological function.

Second, which transcription factors might regulate the expression of these DEGs was investigated to help understand how these DEGs are regulated by the upstream gene transcription mechanisms. Candidates for the transcription factors regulating these DEGs were identified based on predictions by the web-based Molecular Signatures Database 7.2 (MSigDB; https://www.gsea-msigdb.org/) [15, 16]. This analysis assessed the presence of DNA sequences targeted by transcription factors in the genomic regulatory region of the DEGs based on a P-value <0.05 and an FDR <0.05.

Third, the gene expression network of DEGs was studied using the web-based STRING 11.0 analysis tool (https://string-db.org) [17]. STRING is a program that analyzes the mutual relationships of proteins evidenced by their experimentally verified interactions, co-expressions, and co-citations in curated databases and PubMed abstracts, and visualizes the genes/protein association networks. The list of the DEGs was subjected to STRING with a medium confidence score of 0.4.

Immunohistochemistry

Immunohistochemical analysis of paraffin sections of cochleae from 12-month-old mice (n = 3) and 6–7-week-old mice (n = 3) was performed as previously described, with minor modifications [12]. After heat-mediated antigen retrieval, reactions were performed using anti–IL-18r1 antibody (ab231554; Abcam, Cambridge, UK, diluted 1/50), anti–IL-1B antibody (ab9722; Abcam, diluted 1/100), anti-TNFα antibody (ab 6671; Abcam, diluted 1/50), and anti-PTGS2 antibody (ab 15191; Abcam, diluted 1/100) at 4°C overnight, followed by visualization using the ABC method (Vectastain Elite ABC Kit; Vector Laboratories, Burlingame, CA, USA). Rabbit polyclonal antibody raised against IBA1 (Ionized calcium binding adaptor protein 1), a macrophage/microglia-specific calcium-binding protein [18], was used to detect macrophages by immunohistochemistry (A3160; ABclonal, Tokyo, Japan, diluted 1/50). Immunofluorescent visualization of specific IL-18r1, IL-1B, TNFα and PTGS2 immunoreactivities was also performed using Alexa Fluor 568 donkey anti-rabbit IgG (A10042; Thermo Fisher Scientific, diluted 1/200) at 4°C for 30 m. Tissue autofluorescence was eliminated using an autofluorescence quenching kit (TrueVIEW kit, Vector Laboratories) following the manufacturer’s protocol, and nuclear counterstaining was performed using diamidino-2-phenylindole (DAPI). The specificity of the primary antibodies to IL-18r1, IL-1B, TNFα, and PTGS2 was verified by western blotting by the manufacturer (Abcam). As a negative control, sections were incubated with nonspecific rabbit IgG (5 μg/mL) and then visualized. Light and fluorescent microscopic images were acquired using a fluorescent microscope (BX-51-54; Olympus, Tokyo, Japan).

Results

Hearing levels in mice with ARHL

As shown in Fig 1, the c-ABR threshold was significantly higher in 6-month-old mice (63.0±14.9 dB SPL, mean±SD, n = 10) and 12-month-old mice (66.9±13.6 dB SPL, n = 8) than in 6–7-week-old mice (40±2.9, n = 7) (P<0.01), confirming that 6- and 12-month-old mice exhibited significant ARHL. The c-ABR thresholds in the 6- and 12-month-old mice were shifted by 23.0 and 26.9 dB, respectively, compared with the younger control mice.

Fig 1. Click-auditory brainstem response (c-ABR) thresholds demonstrating age-related hearing loss in male C57BL/6J mice.

Fig 1

The mean ± standard deviation c-ABR threshold was significantly higher in 6-month-old mice (63.0±14.9 dB sound pressure level, n = 10) and 12-month-old mice (66.9±13.6, n = 8) than in 6–7-week-old mice (40±2.9, n = 7) (P<0.01, Kruskal–Wallis and Mann–Whitney U tests).

Real-time RT-PCR array and bioinformatic analyses of DEGs

A volcano plot (Fig 2) shows the gene expression profiles of 84 genes in the inflammatory and immune pathways analyzed by the real-time RT-PCR array. Each gene was plotted as a function of the ratio of expression levels between the 12-month-old and 6–7-week-old mice (the x-axis) and P-values for the differential expression levels between the two age groups (the y-axis). Among the 84 targeted genes, as many as 40 were significantly upregulated (33 genes) or downregulated (7 genes) with greater than a twofold change in the cochleae of 12-month-old compared with 6–7-week-old mice (P<0.05). Table 1 summarizes the gene symbols and names of these 40 DEGs from among the 84 analyzed immune-related genes.

Fig 2. A volcano plot showing the ratios of the gene expression levels in the cochleae of 12-month-old mice relative to young control mice.

Fig 2

Data of 84 key genes involved in inflammatory and immune functions are plotted. Forty of the 84 genes are differentially expressed with greater than twofold upregulation (greater than a twofold change, 33 genes) or downregulation (less than a 0.5-fold change, 7 genes), as well as significant P-values to indicate differential expression levels (P<0.05, t-test) between the cochleae of 12-month-old vs. 6–7-week-old mice (young control mice). The x-axis indicates Log2 (fold change of 12-month-old mice/young control mice) showing the relative expression levels. The y-axis represents–Log10 (P-value) to assess significant differences between the two groups (n = 3 for each gene in the 12-month-old and young control mice).

Table 1. Inflammatory and immune-related genes upregulated or downregulated in the cochleae of 12-month-old compared with 6–7-week-old mice.

Upregulated genes
Gene symbol Gene name P-value (t-test) Fold change
Ccl12 Chemokine (C-C motif) ligand 12 0.00034 3.48
Ccl2 Chemokine (C-C motif) ligand 2 0.00065 3.31
Ccl5 Chemokine (C-C motif) ligand 5 0.00124 3.2
Ccl7 Chemokine (C-C motif) ligand 7 0.00037 2.38
Ccl8 Chemokine (C-C motif) ligand 8 0.00173 11.24
Ccr1 Chemokine (C-C motif) receptor 1 0.00130 2.72
Ccr2 Chemokine (C-C motif) receptor 2 0.00005 3.2
Ccr3 Chemokine (C-C motif) receptor 3 0.00040 2.83
Ccr7 Chemokine (C-C motif) receptor 7 0.00010 3.31
Cxcl10 Chemokine (C-X-C motif) ligand 10 0.00012 3.85
Cxcl9 Chemokine (C-X-C motif) ligand 9 0.00009 5.9
Cxcr1 Chemokine (C-X-C motif) receptor 1 0.00037 4.83
Cxcr2 Chemokine (C-X-C motif) receptor 2 0.00059 3.15
Cxcr4 Chemokine (C-X-C motif) receptor 4 0.00024 3.47
Fasl Fas ligand (TNF superfamily, member 6) 0.02733 2.67
Ifng Interferon gamma 0.01286 2.22
Il1a Interleukin 1 alpha 0.00470 2.32
Il1b Interleukin 1 beta 0.00053 3.67
Il6 Interleukin 6 0.00002 4.43
Il7 Interleukin 7 0.00342 2.59
Kng1 Kininogen 1 0.00136 4.26
Lta Lymphotoxin A 0.00301 2.83
Ltb Lymphotoxin B 0.00140 2.2
Nfkb1 Nuclear factor of kappa light polypeptide gene enhancer in B-cells 1, p105 0.00005 2.03
Nr3c1 Nuclear receptor subfamily 3, group C, member 1 0.00346 2.08
Ptgs2 Prostaglandin-endoperoxide synthase 2 0.00477 2.59
Sele Selectin, endothelial cell 0.03442 2.05
Tlr1 Toll-like receptor 1 0.00074 4.34
Tlr6 Toll-like receptor 6 0.00108 5.99
Tlr7 Toll-like receptor 7 0.00000 5.04
Tlr9 Toll-like receptor 9 0.00011 3.82
Tnf Tumor necrosis factor 0.00149 2.06
Tnfsf14 Tumor necrosis factor (ligand) superfamily, member 14 0.00167 2.48
Downregulated genes
Ccl1 Chemokine (C-C motif) ligand 1 0.00014 0.39
Ccl20 Chemokine (C-C motif) ligand 20 0.00014 0.39
Crp C-reactive protein, pentraxin-related 0.00005 0.43
Cxcl3 Chemokine (C-X-C motif) ligand 3 0.00352 0.26
Il17a Interleukin 17A 0.00017 0.38
Il22 Interleukin 22 0.00014 0.39
Il9 Interleukin 9 0.00011 0.42

The expressions of 84 immune-related genes were analyzed by real-time RT-PCR array. As a result, 33 upregulated and 7 downregulated genes were detected with greater than a twofold or less than a 0.5-fold change, respectively, with a P-value <0.05 for significantly different expression levels in the 12-month-old relative to the 6–7-week-old mice (n = 3, t-test).

These DEGs were shown to play roles in the biological functions of the top five significant KEGG functional pathways abundantly enriched by the DEGs, including cytokine–cytokine receptor interaction (involving 29 DEGs; P = 6.4E-35; FDR = 5.9E-33), the chemokine signaling pathway (18 DEGs; P = 7.0E-18; FDR = 3.2E-16), the TNF signaling pathway (13 DEGs; P = 7.0E-14; FDR = 2.2E-12), and the Toll-like receptor signaling pathway (11 DEGs; P = 3.4E-11; FDR = 6.2E-10) (Table 2).

Table 2. Functional gene pathways associated with the differentially expressed genes (DEGs) in 12-month-old relative to 6–7-week-old cochleae (top 5 significant pathways).

Gene count P-value(<0.05) FDR(<0.05)
Cytokine-cytokine receptor interaction 29 6.4E-35 5.9E-33
Chemokine signaling pathway 18 7.0E-18 3.2E-16
TNF signaling pathway 13 7.0E-14 2.2E-12
Rheumatoid arthritis 11 4.0E-12 9.2E-11
Toll-like receptor signaling pathway 11 3.4E-11 6.2E-10

The biological functions of 40 DEGs identified by the real-time RT-PCR array were significantly associated with these top five KEGG pathways with a P-value <0.01 and a false discovery rate (FDR) <0.01.

The analysis of transcription factor targets in the MSigDB database revealed that a transcription factor, nuclear factor-kappa B (NF-κB), was predicted to interact in-trans with the genomic regulatory sequences of eight upregulated DEGs: Ccl5 (chemokine (C-C motif) ligand 5), Cxcl10 (chemokine (C-X-C motif) ligand 10), Cxcl9 (chemokine (C-X-C motif) ligand 9), Il1a (IL 1 alpha), Lta (lymphotoxin A), Ltb (lymphotoxin B), Ptgs2 (prostaglandin-endoperoxide synthase 2), and Tnf (tumor necrosis factor), with a P-value <0.01 and an FDR <0.01.

Based on the DNA sequence information deposited in the database, the genomic regulatory regions of these eight DEGs contain at least one NF-κB target sequence in the regions spanning up to 4 kb around the transcription starting site of each DEG. Furthermore, a subunit of the NF-κB transcription factor complex, Nfkb1 (nuclear factor of kappa light polypeptide gene enhancer in B-cells 1, p105), was significantly upregulated in the cochleae of aged compared with young mice in our dataset for the real-time RT-PCR array.

Fig 3, which was created using the STRING program, shows the protein–protein association network of the immune-related DEGs actively controlled in aged cochleae. The figure illustrates that the transcription factor Nfkb1 is upregulated in aged cochleae, and in turn, NF-κB binds to the genomic regulatory regions of eight upregulated DEGs—Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf—which are mutually associated in the network of the 40 immune-related DEGs.

Fig 3. Expression network of 40 differentially regulated genes (DEGs) with inflammatory and immune functions in 12-month-old cochleae.

Fig 3

A web-based STRING database (https://string-db.org) computed a graphical representation of the mutual relationships of the 40 immune-related DEGs detected by the real-time RT-PCR array, based on their experimentally verified interactions, co-expressions, and co-citations in curated databases and PubMed abstracts. The figure shows that a transcription factor, Nfkb1, is upregulated in aged cochleae, and that NF-κB interacts with the genomic regulatory regions of the eight upregulated DEGs (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf) mutually associated in the expression network of the 40 immune-related DEGs in aged cochleae.

Gene-specific real-time RT-PCR

Fig 4 summarizes the respective mean±SD expression levels of the nine inflammatory and immunity-related genes at each time point: Casp1 (6–7-week-old mice: 1.01±0.07 -fold change; 3-month-old mice: 1.00±0.05; 6-month-old mice: 0.97±0.04; 9-month-old mice: 1.00±0.06; 12-month-old mice: 2.88±0.16), IL18r1 (1.00±0.07, 1.20±0.06, 1.00±0.05, 1.17±0.06, 1.49±0.08), IL18rap (1.01±0.12, 0.99±0.15, 1.41±0.25, 1.41±0.12, 1.62±0.07), IL1B (1.00±0.07, 1.74±0.12, 2.02±0.14, 1.58±0.06, 3.51±0.29), Card9 (1.00±0.07, 1.19±0.04, 1.36±0.10, 1.08±0.06, 2.58±0.10), Clec4e (1.01±0.10, 1.24±0.12, 1.39±0.15, 1.23±0.15, 3.39±0.32), Ifit1 (1.01±0.11, 1.68±0.16, 1.20±0.10, 1.11±0.07, 5.49±0.52), Ifit3 (1.00±0.09, 1.92±0.18, 2.14±0.17, 1.66±0.15, 1.75±0.14), and Tlr9 (1.00±0.09, 0.95±0.17, 0.71±0.05, 1.40±0.09, 3.26±0.33). As shown in the figure, the major proinflammatory molecule IL1B was significantly upregulated by more than a 1.5-fold change at the early time point of 3 months and thereafter, as compared with the level at 6–7 weeks. IL18rap was significantly upregulated by more than a 1.4-fold change at the time point of 6 months and thereafter. An interferon-induced gene, Ifit3, was also upregulated by more than a 1.5-fold change at the time point of 3 months and thereafter. Seven out of nine inflammatory and immunity-related genes (except for IL18rap and Ifit3) examined by gene-specific real-time RT-PCR showed significant and noticeable upregulation between the late time points of 9 and 12 months (P<0.01, n = 6 for each time point).

Fig 4. Gene-specific real-time RT-PCR of immune-related genes in the cochleae of 6–7-week-old (young control) and 3-month-old (3M), 6-month-old (6M), 9-month-old (9M), and 12-month-old (12M) mice.

Fig 4

Gene expression levels are analyzed for the nine inflammatory and immune-related genes—Casp1, IL18r1, IL18rap, IL1B, Card9, Clec4e, Ifit1, Ifit3, and Tlr9—at each age of the mice cochleae. The expressions of the major proinflammatory molecules IL1B and IL18rap are upregulated by 3M and 6M, respectively, and thereafter during the aging process as compared with the levels in the young control cochleae. Ifit3 is also upregulated by 3M and thereafter. The expressions of seven of the nine immune-related genes (except for IL18rap and Ifit3) show significant upregulation between the ages of 9M and 12M (n = 6 for each time point, P<0.01 by analysis of variance and the Bonferroni post-hoc test).

Immunohistochemistry

The IL-18r1 receptor and IL-1B were found to be upregulated in 12-month-old cochleae in the real-time RT-PCR analyses. Immunohistochemical analysis of cochlear histochemical sections from 12-month-old mice demonstrated that both proteins localized in the spiral ligament, spiral limbus, and organ of Corti (upper insets in Fig 5). Because the organ of Corti in 12-month-old C57BL/6 mice showed signs of age-related degeneration in the basal turn of the cochleae in previous studies [19], the organ of Corti in the apical turn was examined in our immunohistochemical analysis in the aged mice. In the cochleae of 6-week-old mice, IL-18r1 and IL-1B localized in the spiral ligament, the spiral limbus, and the organ of Corti (lower insets in Fig 5). Cochlear localization of IL-18r1 and IL-1B was similar between the aged and younger mice.

Fig 5. Immunohistochemical analysis of IL-18 receptor 1 (IL-18r1) and IL-1 beta (IL-1B) expression in aged cochleae.

Fig 5

The figures show immunoreactivity to IL-18r1 and IL-1B in the cochleae of 12-month-old and 6-week-old mice. Negative control sections incubated with nonspecific rabbit IgG showed no signals except for background staining in the spiral neurons in sections visualized using the ABC method. Therefore, the signals in the spiral neurons may be due to the nonspecific protein binding of rabbit IgG. In the immunofluorescent figures, blue and red indicate nuclear staining by DAPI and immunoreactivity to IL-18r1 and IL-1B, respectively. Scale bars indicate 100 μm (low-power view) and 50 μm (insets showing the spiral ligament, spiral limbus, and organ of Corti).

Immunohistochemical analysis of the two NF-κB-interacting inflammatory molecules (TNFα and PTGS2) showed that they were expressed ubiquitously in the cochlear structures of the 12-month-old mice. Unequivocal immunoreactivity to TNFα and PTGS2 was observed in the lateral wall (the spiral ligament and stria vascularis) of the aged cochleae (upper insets in Fig 6). Cochlear localization of TNFα and PTGS2 in the 6-week-old mice was similar to that in the 12-month-old mice (lower insets in Fig 6).

Fig 6. Immunohistochemical analysis of tumor necrosis factor α (TNFα) and prostaglandin-endoperoxide synthase 2 (PTGS2) expression in aged cochleae.

Fig 6

The figures show immunoreactivity to TNFα and PTGS2 in the cochleae of 12-month-old and 6-week-old mice. In the immunofluorescent figures, blue and red indicate nuclear staining by DAPI and immunoreactivity to TNFα and PTGS2, respectively. Scale bars indicate 100 μm.

As shown in Fig 7, IBA1-positive macrophages were observed in the stria vascularis and the inferior division of the spiral limbus in the cochleae of 12-month-old mice. No IBA1-positive cells were found in the cochlear structures of 6-week-old mice.

Fig 7. Immunohistochemistry showing IBA1-positive macrophages in aged cochleae.

Fig 7

The figures show immunohistochemical detection of IBA1-positive macrophages in the stria vascularis and the inferior division of the spiral ligament in the cochleae of 12-month-old mice. No IBA1-positive cells were observed in the cochlear structures of 6-week-old mice. Blue and brown indicate nuclear staining by hematoxylin and immunoreactivity to IBA1, respectively. Negative control sections incubated with nonspecific rabbit IgG showed no signals. Scale bars indicate 50 μm.

Discussion

In this study, we hypothesized that inflammation and immune reactions are regulated during the aging process of mice cochlear tissues with ARHL. To test this hypothesis, we analyzed the expression levels of 84 key genes known to be involved in inflammatory and immune functions in aged and young cochleae. Of the 84 genes examined by a real-time RT-PCR array, the expressions of 40 (47.6%) were differentially regulated in the cochleae of 12-month-old compared with 6–7-week-old mice, 33 of which were upregulated in the aged cochleae. The results of our experiments supported the hypothesis that inflammatory and immune reactions are modulated in aged cochlear tissues. The differential expressions of these immune-related genes were involved in functional gene pathways such as cytokine–cytokine receptor interaction, the chemokine signaling pathway, the TNF signaling pathway, and the Toll-like receptor signaling pathway.

A transcription factor, NF-κB, was upregulated in the aged cochlear tissue and predicted to bind to the genomic regulatory sequences of eight upregulated DEGs: Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf. In general, NF-κB is a master regulator controlling gene expressions pertaining to innate immunity and plays a role in the aging process [20]. In cochleae during the pathological processes of noise-induced hearing loss and ARHL, NF-κB transcriptional activity was strongly induced in the spiral ligament and stria vascularis of the lateral wall [21]. In the immunohistochemical analyses in the present study, two NF-κB-interacting molecules, TNFα and PTGS2, were also expressed in the spiral ligament and stria vascularis of the lateral wall in aged cochleae. Our gene expression analyses corroborated the data that NF-κB may control the transcriptional network of immune-related genes during the aging process of the cochlea.

In agreement with our data, recent study by Su et al. showed that the gene expressions involved in inflammatory and immune functions were upregulated in the cochleae of 12-month-old C57BL/6J mice as compared with 4-week-old mice by means of next-generation sequencing (RNA-seq) [10]. However, they did not provide information on the age of mice when the inflammatory and immunity-related gene expressions were modulated in the cochleae during the aging process. Our data, obtained by gene-specific real-time RT-PCR, provide new evidence that the major proinflammatory molecules IL1B and IL18rap are significantly upregulated in cochleae at 3 and 6 months, respectively, and thereafter in aging cochleae. Upregulation of an interferon-induced gene, Ifit3, was also observed at 3 months and thereafter. Subsequently during the aging process, seven of the nine immune-related genes examined in our experiments (Casp1, IL18r1, IL1B, Card9, Clec4e, Ifit1, and Tlr9) showed significant upregulation between the late time points of 9 and 12 months. According to a previously published paper [11], ABR thresholds in the high-frequency range (32 kHz) in inbred C57BL/6J mice were 45.0 dB SPL at 3 months of age, and subsequently showed threshold shifts of 33.1, 38.4, and 47.1 dB at 6, 9, and 12 months, respectively, compared with the threshold at 3 months. Based on these observations, IL1B, IL18rap, and Ifit3 may play significant roles in the development of ARHL by 6 months of age. IL1B and the six other genes, Casp1, IL18r1, Card9, Clec4e, Ifit1, and Tlr9, may participate in the immune response to the degeneration of the cochlear cells because C57BL/6J mice exhibited significant ARHL as early as 6 months of age [11]. These data suggest that a remarkable progression of the innate immunity process occurred in mice cochleae at an advanced stage of ARHL (between 9 and 12 months of age).

By means of gene-specific RT-PCR, Shi et al. demonstrated upregulation of NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome genes (Casp1, IL18, and IL1B) in the cochleae of 12-month-old mice [9]. These NLRP3 inflammasome molecules, which were also examined in our gene-specific real-time RT-PCR, comprise a key innate immune pathway involved in the recognition of molecular triggers that appear during cellular senescence [22]. Among the genes analyzed in our experiments, Card9 and Clec4e activated macrophage inflammatory responses, which may play roles in chronic inflammatory diseases [23, 24]. Both Ifit1 and Ifit3 are interferon-inducible genes that control pro-inflammatory gene programming in macrophages [25, 26]. Tlr9 recognizes its ligands of pathogenic DNA in immune cells and triggers signaling cascades that lead to the induction of type 1 interferon expression and pro-inflammatory cytokine responses [27].

The downregulation of seven immune-related genes—Ccl1, Ccl20, Cxcl3, IL17a, IL22, IL9, and Crp—was demonstrated by the RT-PCR array analysis in 12-month-old cochleae. The three downregulated chemokine-ligand genes—Ccl1, Ccl20, and Cxcl3—were closely related to each other in the gene expression network of the 40 DEGs shown in Fig 3. The three interleukins—IL17, IL22, and IL9—were also closely associated in the gene expression network. Ccl1 and IL9 are known to be involved in the anti-apoptotic activity of immune cells [28, 29].

In our immunohistochemical analyses, IL-18r1 and IL-1B proteins localized to the spiral ligament, spiral limbus, and organ of Corti in cochlear sections from aged mice. IL-18 and IL-1B are major proinflammatory molecules that participate in the inflammasome pathway, and RT-PCR analyses have shown that their encoding genes are upregulated in aged cochleae. In a previous report, the expression of an inflammasome-forming protein, NLRP3 was detected by immunohistochemistry in cochlear structures, including the spiral neurons, in aged mice with ARHL [9]. These data therefore suggest that innate immune reactions play significant roles in the aging process in these cochlear structures. In addition, IBA1-positive macrophages were observed in the stria vascularis and the inferior division of the spiral ligament. These lateral wall structures (the stria vascularis and the inferior division of the spiral ligament) are thought to be the primary anatomical structure of leukocyte migration into the cochleae because of their abundantly dense vasculature [30].

Chronic low-grade inflammation plays a key role in age-related diseases such as Alzheimer’s disease via a process called inflammaging [31]. An epidemiologic study of 611 older adults in the United Kingdom showed that increases in serum inflammatory markers, including white blood cell count, neutrophil count, IL-6 levels, and C-reactive protein levels, were significantly associated with worse hearing levels, as demonstrated statistically by multiple regression models after adjusting for the covariates of age, gender, smoking status, and exposure to noise at work [7]. Based on such data, a clinical trial was conducted to investigate whether continuous oral administration of low-dose aspirin prevented or reduced ARHL in a 3-year study [32]. In animal experiments aimed at developing immunologic ARHL therapies, hearing loss, degeneration of the spiral neurons, and T-cell dysfunction observed in 6-month-old mice recovered in 12-month-old mice that had received two fetal thymus transplants [33].

A recent study by Srivastava et al. analyzed changes in the transcriptome using RNA-seq in the brain, blood, skin, and liver of C57BL/6 mice at 9, 15, 24, and 30 months of age [34]. They found that the most significant DEGs in the aged brain, blood, and liver were upregulated genes of inflammation and immune function. Compared with the brain, blood, and liver, only a few genes of inflammation and immune function were differentially regulated in the aged skin. We therefore speculate that DEGs involved in the immune system may be a common characteristic found in the transcriptome of aged nervous systems, including the auditory system. Age-related changes in the gene expressions unique to the cochlea might also be present because of its direct exposure to environmental stress (noise).

The gene and protein expression data in this study showed that inflammatory and immune reactions were modulated in aged cochlear tissues with ARHL. How these inflammatory and immune reactions positively or negatively impact the pathologic mechanisms of ARHL should be further clarified in animal experiments. These data could serve as the basis for the development of preventive and therapeutic measures for treating ARHL by targeting immune function in the cochleae.

A limitation of this study is that the expression levels of the NF-κB-interacting upregulated genes (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf) were not analyzed by real-time RT-PCR at different ages (3-, 6-, 9-, and 12-month-old mice). Such data would provide important insights into the involvement of the NF-κB-interacting immune gene network in the molecular process of age-related hearing loss.

Supporting information

S1 Table. Gene symbols, names, and cochlear expressions of the 84 immune-related genes examined by real-time RT-PCR array in this study.

The expressions of inflammatory and immune-related genes in the cochleae of 12-month-old relative to 6–7-week-old mice are tabulated. The expressions of 84 immune-related genes were analyzed by real-time RT-PCR array. As a result, 33 upregulated and 7 downregulated genes were detected with greater than a twofold or less than a 0.5-fold change, respectively, with a P-value <0.05 for significantly different expression levels between the 12-month-old and 6–7-week-old mice (n = 3, t-test).

(XLSX)

Data Availability

All relevant data are within the manuscript.

Funding Statement

This work was supported by JSPS KAKENHI Grant Nos. JP19K18807 (principal investigator: S.F.) and JP20K09732 (S.K.). The Japan Society for the Promotion of Science (www.jsps.go.jp/) had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.National Institute on Deafness and Other Communication Disorders, Accessed in December, 2019. Age-Related Hearing Loss. https://www.nidcd.nih.gov/health/age-related-hearing-loss.
  • 2.Cabinet office, Government of Japan, 2019. White book of aged society.
  • 3.Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020;396(10248):413–46. doi: 10.1016/S0140-6736(20)30367-6 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rizk HG, Linthicum FH Jr. Histopathologic categorization of presbycusis. Otol Neurotol. 2012;33(3):e23–4. doi: 10.1097/MAO.0b013e31821f84ee . [DOI] [PubMed] [Google Scholar]
  • 5.Someya S, Yamasoba T, Prolla TA, Tanokura M. Genes encoding mitochondrial respiratory chain components are profoundly down-regulated with aging in the cochlea of DBA/2J mice. Brain Res. 2007;1182:26–33. doi: 10.1016/j.brainres.2007.08.090 . [DOI] [PubMed] [Google Scholar]
  • 6.Yamasoba T, Lin FR, Someya S, Kashio A, Sakamoto T, Kondo K. Current concepts in age-related hearing loss: epidemiology and mechanistic pathways. Hear Res. 2013;303:30–8. doi: 10.1016/j.heares.2013.01.021 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Verschuur CA, Dowell A, Syddall HE, Ntani G, Simmonds SJ, Baylis D, et al. Markers of inflammatory status are associated with hearing threshold in older people: findings from the Hertfordshire Ageing Study. Age Ageing. 2012;41(1):92–7. doi: 10.1093/ageing/afr140 . [DOI] [PubMed] [Google Scholar]
  • 8.Nash SD, Cruickshanks KJ, Zhan W, Tsai MY, Klein R, Chappell R, et al. Long-term assessment of systemic inflammation and the cumulative incidence of age-related hearing impairment in the epidemiology of hearing loss study. J Gerontol A Biol Sci Med Sci. 2014;69(2):207–14. doi: 10.1093/gerona/glt075 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Shi X, Qiu S, Zhuang W, Yuan N, Wang C, Zhang S, et al. NLRP3-inflammasomes are triggered by age-related hearing loss in the inner ear of mice. Am J Transl Res. 2017;9(12):5611–8. . [PMC free article] [PubMed] [Google Scholar]
  • 10.Su Z, Xiong H, Liu Y, Pang J, Lin H, Zhang W, et al. Transcriptomic analysis highlights cochlear inflammation associated with age-related hearing loss in C57BL/6 mice using next generation sequencing. PeerJ. 2020;8:e9737. doi: 10.7717/peerj.9737 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kane KL, Longo-Guess CM, Gagnon LH, Ding D, Salvi RJ, Johnson KR. Genetic background effects on age-related hearing loss associated with Cdh23 variants in mice. Hear Res. 2012;283(1–2):80–8. doi: 10.1016/j.heares.2011.11.007 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Maeda Y, Fukushima K, Omichi R, Kariya S, Nishizaki K. Time courses of changes in phospho- and total- MAP kinases in the cochlea after intense noise exposure. PLoS One. 2013;8(3):e58775. doi: 10.1371/journal.pone.0058775 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nature Protoc. 2009;4:44–57. doi: 10.1038/nprot.2008.211 . [DOI] [PubMed] [Google Scholar]
  • 14.Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37:1–13. doi: 10.1093/nar/gkn923 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, et al. PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet. 2003;34(3):267–73. doi: 10.1038/ng1180 . [DOI] [PubMed] [Google Scholar]
  • 16.Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50. doi: 10.1073/pnas.0506580102 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607–D13. doi: 10.1093/nar/gky1131 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kanazawa H, Ohsawa K, Sasaki Y, Kohsaka S, Imai Y. Macrophage/microglia-specific protein Iba1 enhances membrane ruffling and Rac activation via phospholipase C-gamma -dependent pathway. J Biol Chem. 2002;277(22):20026–32. doi: 10.1074/jbc.M109218200 . [DOI] [PubMed] [Google Scholar]
  • 19.Spongr VP, Flood DG, R.D. F, Salvi RJ. Quantitative Measures of Hair Cell Loss in CBA and C57BL/6 Mice Throughout Their Life Spans. J Acoust Soc Am. 1997;101(6):3546–53. doi: 10.1121/1.418315 . [DOI] [PubMed] [Google Scholar]
  • 20.Salminen A, Huuskonen J, Ojala J, Kauppinen A, Kaarniranta K, Suuronen T. Activation of innate immunity system during aging: NF-kB signaling is the molecular culprit of inflamm-aging. Ageing Res Rev. 2008;7(2):83–105. doi: 10.1016/j.arr.2007.09.002 . [DOI] [PubMed] [Google Scholar]
  • 21.Herranen A, Ikaheimo K, Virkkala J, Pirvola U. The Stress Response in the Non-sensory Cells of the Cochlea Under Pathological Conditions-Possible Role in Mediating Noise Vulnerability. J Assoc Res Otolaryngol. 2018;19(6):637–52. doi: 10.1007/s10162-018-00691-2 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Latz E, Duewell P. NLRP3 inflammasome activation in inflammaging. Semin Immunol. 2018;40:61–73. doi: 10.1016/j.smim.2018.09.001 . [DOI] [PubMed] [Google Scholar]
  • 23.Drouin M, Saenz J, Chiffoleau E. C-Type Lectin-Like Receptors: Head or Tail in Cell Death Immunity. Front Immunol. 2020;11:251. doi: 10.3389/fimmu.2020.00251 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ruland J. CARD9 signaling in the innate immune response. Ann N Y Acad Sci. 2008;1143:35–44. doi: 10.1196/annals.1443.024 . [DOI] [PubMed] [Google Scholar]
  • 25.John SP, Sun J, Carlson RJ, Cao B, Bradfield CJ, Song J, et al. IFIT1 Exerts Opposing Regulatory Effects on the Inflammatory and Interferon Gene Programs in LPS-Activated Human Macrophages. Cell Rep. 2018;25(1):95–106 e6. doi: 10.1016/j.celrep.2018.09.002 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Huang C, Lewis C, Borg NA, Canals M, Diep H, Drummond GR, et al. Proteomic Identification of Interferon-Induced Proteins with Tetratricopeptide Repeats as Markers of M1 Macrophage Polarization. J Proteome Res. 2018;17(4):1485–99. doi: 10.1021/acs.jproteome.7b00828 . [DOI] [PubMed] [Google Scholar]
  • 27.Holm CK, Paludan SR, Fitzgerald KA. DNA recognition in immunity and disease. Curr Opin Immunol. 2013;25(1):13–8. doi: 10.1016/j.coi.2012.12.006 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Louahed J, Struyf S, Demoulin JB, Parmentier M, Van Snick J, Van Damme J, et al. CCR8-dependent activation of the RAS/MAPK pathway mediates anti-apoptotic activity of I-309/ CCL1 and vMIP-I. Eur J Immunol. 2003;33(2):494–501. doi: 10.1002/immu.200310025 . [DOI] [PubMed] [Google Scholar]
  • 29.Parrot T, Allard M, Oger R, Benlalam H, Raingeard de la Bletiere D, Coutolleau A, et al. IL-9 promotes the survival and function of human melanoma-infiltrating CD4(+) CD8(+) double-positive T cells. Eur J Immunol. 2016;46(7):1770–82. doi: 10.1002/eji.201546061 . [DOI] [PubMed] [Google Scholar]
  • 30.Sahley TL, Anderson DJ, Hammonds MD, Chandu K, Musiek FE. Evidence for a dynorphin-mediated inner ear immune/inflammatory response and glutamate-induced neural excitotoxicity: an updated analysis. J Neurophysiol. 2019;122(4):1421–60. doi: 10.1152/jn.00595.2018 . [DOI] [PubMed] [Google Scholar]
  • 31.Salminen A. Activation of immunosuppressive network in the aging process. Ageing Res Rev. 2020;57:100998. Epub 2019/12/16. doi: 10.1016/j.arr.2019.100998 . [DOI] [PubMed] [Google Scholar]
  • 32.Lowthian JA, Britt CJ, Rance G, Lin FR, Woods RL, Wolfe R, et al. Slowing the progression of age-related hearing loss: Rationale and study design of the ASPIRIN in HEARING, retinal vessels imaging and neurocognition in older generations (ASPREE-HEARING) trial. Contemp Clin Trials. 2016;46:60–6. doi: 10.1016/j.cct.2015.11.014 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Iwai H, Inaba M. Fetal thymus graft enables recovery from age-related hearing loss and expansion of CD4-Positive T cells expressing IL-1 receptor type 2 and regulatory T Cells. Immun Ageing. 2015;12:26. doi: 10.1186/s12979-015-0053-9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Srivastava A, Barth E, Ermolaeva MA, Guenther M, Frahm C, Marz M, et al. Tissue-specific Gene Expression Changes Are Associated with Aging in Mice. Genomics Proteomics Bioinformatics. 2020. doi: 10.1016/j.gpb.2020.12.001 . [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Vasu Punj

14 Jul 2021

PONE-D-21-13350

Upregulation of a nuclear factor-kappa B-interacting immune gene network in mice cochleae with age-related hearing loss

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Reviewer #1: In this manuscript, the authors have compared the expression of immune-related genes between young and old mice with manifested hearing loss and identified differentially expressed genes (DEGs), which expression could be associated with age-related hearing loss (ARHL). Among the significantly upregulated DEGs, eight genes (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf) were proposed transcriptionally regulated by NF-kB, which Nfkb1 subunit is also upregulated in aged cochleae. In addition, seven other immune-related genes (Casp1, IL18r1, IL1B, Card9, Clec4e, Ifit1, and Tlr9) were significantly upregulated at the advanced stage ARHL.

Although there is another recently published similar study (Su Z, et al. 2020, PeerJ. 2020;8:e9737. PubMed PMID: 32879802) analyzing the expression of a much higher number of the genes (731 genes) and showing the association of cochlear inflammation with ARHL, this study also represents a valuable contribution in clarification the role of inflammaging in development of ARHL.

Although the results are compelling and very relevant, there is still room for improvement.

Major issues

1. Keeping that authors showed significant upregulation of NF-kB in the aged cochlear tissue and predicted its involvement in transcriptional regulation of eight significantly upregulated DEGs (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf), it is not clear why they did not show the expression of these genes on different ages (3-month-old, 6-month-old, 9-month-old and 12-month-old mice) as it was shown for nine genes selected based on the preliminary data from next-generation sequencing (RNAseq).

2. Although the authors referred in the discussion part that the hearing status is getting to worsen as animals are older, they should assess the hearing status of animals at all analyzed ages (at least at 7-weak, 6- month and 12- month age) in parallel with the gene expression analysis. That will help understand whether the up-regulation of NF-kB-regulated genes is associated with the development of AHR or is only manifested in the oldest animals (12-month age).

3. Immunohistochemical analysis of cochlear sections from mice at different ages should be also extended for some of NF-kB -regulated significantly upregulated DEGs, as it was done for IL-18r1 and IL-1B.

4. Considering the role of macrophages in the cochlear inflammatory response and the immune capacity of cochlear supporting cells, co-staining inflammatory mediators and cell-specific markers will contribute to identifying the primary cellular source of up-regulated cytokines and immune-related factors associated with ARHL.

Minor issues

1. Although authors called on their preliminary data, they should clarify how many genes were analyzed by next-generation sequencing (RNAseq). This statement will also put weight on the paper, considering that a similar study analyzing more than 700 genes has already been published.

2. There is a terminology issue that should be solved.

a) Interleukins and chemokines are cytokines as well, and they should not be listed separately from cytokines. In that sense, the sentence:

“The targeted genes were those encoding cytokines, chemokines, and interleukins, their receptors and signaling molecules, and genes involved in acute, chronic, and intracellular inflammatory responses (lines: 118-120)”,

should be modified like this:

“The targeted genes were those encoding cytokines (including chemokines and interleukins), their receptors and signaling molecules, and genes involved in acute, chronic, and intracellular inflammatory responses.

b) IL-18 receptor accessory protein (IL18RAP, or IL-18Rβ) is the other subunit or IL-18R, which means it is not a cytokine. In this context, it is correct to name together IL1B and IL18rap as pro-inflammatory molecules or factors than cytokines.

3. IL-18 is mistakenly written instead of IL-1B (line 199).

4. “Kyoto Encyclopedia of Genes and Genomics” (line 256) should be replaced by an abbreviation that has already been introduced.

5. Table 1. The prefix “up” is wrongly positioned, indicating Myd88 instead of Nfkb1.

Reviewer #2: In this manuscript by Uraguchi K et al titled “Upregulation of a nuclear factor-kappa B-interacting immune gene network mice cochleae with age-related hearing loss” , the authors have used gene expression analysis and bioinformatics analyses to demonstrate upregulation of inflammatory pathways in a C57BL/6 mouse model for ARHL. Further, they have used immunohistochemistry to show expression of IL-1B and IL18r1 in aged mouse cochlear tissue which is consistent with their gene expression analysis.

The experiments in this manuscript are technically sound and their conclusions are reasonable and these studies may be of interest for researchers trying to elucidate molecular basis for ARHL. A few minor comments:

1. It will be useful to have a list of up regulated and down regulated genes together with the volcano plot, which by itself is not very useful. The entire list of 84 genes on the array could be included in supplementary table.

2. Table 1 may need to be formatted- in the reviewer’s copy the “Regulation” column was not properly aligned with the gene name. For example for gene FASL, the “up” in the regulation column was not in the same row, this has happened for several genes.

3. Fig 4: the Y axis is not labeled

4. They need to carefully proofread the manuscript. For example:

Line 170: “The KEGG pathway is the annotation….” This sentence could be rephrased as “ The KEGG pathway is the annotation of functional gene pathways involving a group of genes”

Line 351: “The DEGs of these immune-related genes…” could be rephrased as “The differential expression of these immune-related genes…”

**********

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Reviewer #1: Yes: Sasa Vasilijic

Reviewer #2: No

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PLoS One. 2021 Oct 22;16(10):e0258977. doi: 10.1371/journal.pone.0258977.r002

Author response to Decision Letter 0


29 Aug 2021

August 28, 2021. PLOS ONE

Academic Editor

Dear Prof. Vasu Punj,

Thank you for inviting us to submit a revised manuscript entitled “ Upregulation of a nuclear factor-kappa B-interacting immune gene network in mice cochleae with age-related hearing loss“ to PLOS ONE.

We appreciate the time and energy dedicated by our reviewers toward improving our manuscript and are grateful for their thoughtful suggestions. Below, please find our responses to their comments.

In addition, in the previous decision Email of review process of this manuscript, we have been requested to present written permission from the copyright holder of Figure 5 as a Journal Requirement.

However, Figure 5 in the manuscript is our original figure from our own experiment and therefore we (or PLOS ONE journal) hold the copyright. This figure has not been published in any other publications.

Please also let us know if we have anything to do.

Comments from reviewer #1

Major comments

●Keeping that authors showed significant upregulation of NF-kB in the aged cochlear tissue and predicted its involvement in transcriptional regulation of eight significantly upregulated DEGs (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf), it is not clear why they did not show the expression of these genes on different ages (3-month-old, 6-month-old, 9-month-old and 12-month-old mice) as it was shown for nine genes selected based on the preliminary data from next-generation sequencing (RNAseq).

Response: We agree that it would be logically more consistent in our manuscript if we show the data of expression levels of the NF-kB-interacting genes on different ages (3-, 6-, 9-, and 12-month-old mice). In the process of progress in this study, we analyzed the expressions of the 9 genes (Casp1, IL18r1, IL18rap, IL1B, Card9, Clec4e, Ifit1, Ifit3, and Tlr9) with important immune functions, which are explained in the manuscript, before the time when we identified Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf as the NF-kB-interacting upregulated genes in aged cochleae by the bioinformatic analyses.

The below sentences have been added as the limitation of study in the discussion.

“A limitation of this study is that the expression levels of the NF-kB-interacting upregulated genes (Ccl5, Cxcl10, Cxcl9, Il1a, Lta, Ltb, Ptgs2, and Tnf) were not analyzed by real-time RT-PCR at different ages (3-, 6-, 9-, and 12-month-old mice). Such data would provide important insights into the involvement of the NF-kB-interacting immune gene network in the molecular process of age-related hearing loss.”

●Although the authors referred in the discussion part that the hearing status is getting to worsen as animals are older, they should assess the hearing status of animals at all analyzed ages (at least at 7-weak, 6- month and 12- month age) in parallel with the gene expression analysis.

Response: According to this comment, we have performed additional experiments to examine hearing status by click-ABR thresholds (c-ABR thresholds) in 6-month-old mice. In the new Fig 1 of the revised manuscript, c-ABR thresholds in 6- to 7-week old, 6-month-old, and 12-month-old mice are shown.

The below sentences are included in the result section of the revised manuscript.

“As shown in Fig 1, the c-ABR threshold was significantly higher in 6-month-old mice (63.0±14.9 dB SPL, mean±SD, n=10) and 12-month-old mice (66.9±13.6 dB SPL, n=8) than in 6–7-week-old mice (40±2.9, n=7) (P<0.01), confirming that 6- and 12-month-old mice exhibited significant age-related hearing loss.”

● Immunohistochemical analysis of cochlear sections from mice at different ages should be also extended for some of NF-kB -regulated significantly upregulated DEGs, as it was done for IL-18r1 and IL-1B.

Response: According to this comment, we have performed additional immunohistochemical experiments to visualize two NF-kB-interacting inflammatory molecules, TNFα (tumor necrosis factor α) and PTGS2 (prostaglandin-endoperoxide synthase 2) in mice cochleae (new Fig.6). TNFα and PTGS2 were expressed ubiquitously in the cochlear structures of the 12-month-old mice. Unequivocal immunoreactivity to TNFα and PTGS2 was observed in the lateral wall (the spiral ligament and stria vascularis) of aged cochleae.

●Considering the role of macrophages in the cochlear inflammatory response and the immune capacity of cochlear supporting cells, co-staining inflammatory mediators and cell-specific markers will contribute to identifying the primary cellular source of up-regulated cytokines and immune-related factors associated with ARHL.

Response: According to this comment, we have performed additional experiments to visualize macrophage/microglia-specific marker IBA1-positive cells in mice cochleae (new Fig 7). IBA1-positive macrophages were observed in the stria vascularis and the inferior division of spiral limbus in cochleae of 12-months old mice. No IBA1-positive cells were found in these cochlear structures of 6-week-old mice. (Double-immunofluorescent staining could not be performed by this immunohistochemistry using rabbit polyclonal antibody raised against IBA1, because we used rabbit-polyclonal antibodies against the inflammatory mediators.)

Minor comments

●Although authors called on their preliminary data, they should clarify how many genes were analyzed by next-generation sequencing (RNAseq). This statement will also put weight on the paper, considering that a similar study analyzing more than 700 genes has already been published.

Response: The below sentences were added to the “gene specific real-time RT-PCR” subsection of materials and methods; “In our preliminary data by RNA-seq, 800 genes were either upregulated (452 genes) or downregulated (348 genes) more than twofold in the aged cochleae of 12-month-old mice, compared with the cochleae of 6–7-week-old mice, and their functions were analyzed by bioinformatic analyses.”

●There is a terminology issue that should be solved.

Interleukins and chemokines are cytokines as well, and they should not be listed separately from cytokines. In that sense, the sentence:

“The targeted genes were those encoding cytokines, chemokines, and interleukins, their receptors and signaling molecules, and genes involved in acute, chronic, and intracellular inflammatory responses (lines: 118-120)”,

should be modified like this:

“The targeted genes were those encoding cytokines (including chemokines and interleukins), their receptors and signaling molecules, and genes involved in acute, chronic, and intracellular inflammatory responses.

Response: Thank you for the suggestion. The sentences were modified according to this comment.

●IL-18 receptor accessory protein (IL18RAP, or IL-18Rβ) is the other subunit or IL-18R, which means it is not a cytokine. In this context, it is correct to name together IL1B and IL18rap as pro-inflammatory molecules or factors than cytokines.

Response: IL1B and IL18rap are described as “pro-inflammatory molecules” throughout the text of the revised manuscript.

●IL-18 is mistakenly written instead of IL-1B (line 199).

Response: Thank you for the advice. The text was corrected according to this comment.

●“Kyoto Encyclopedia of Genes and Genomics” (line 256) should be replaced by an abbreviation that has already been introduced.

Response: The text was corrected according to this comment.

● Table 1. The prefix “up” is wrongly positioned, indicating Myd88 instead of Nfkb1.

Response: The positions of the texts in table 1 were reformatted to align appropriately with the gene name in each row in the revised table.

Comments from reviewer #2

Minor comments

●It will be useful to have a list of up regulated and down regulated genes together with the volcano plot, which by itself is not very useful. The entire list of 84 genes on the array could be included in supplementary table.

Response: Thank you for the suggestion. Table 1 has been modified to show a list of 33 upregulated and 7 downregulated genes. The entire list of 84 genes on the array is included in the supplementary table of the revised manuscript.

●Table 1 may need to be formatted- in the reviewer’s copy the “Regulation” column was not properly aligned with the gene name. For example for gene FASL, the “up” in the regulation column was not in the same row, this has happened for several genes.

Response: The positions of the texts in table 1 were reformatted to align appropriately with the gene name in each row in the revised table.

● Fig 4: the Y axis is not labeled.

Response: The Y-axis in Fig4 represents “fold change (gene expression levels relative to the levels in the young control cochleae). It is indicated in the new Fig 4 in the revised manuscript.

●4. They need to carefully proofread the manuscript. For example:

Line 170: “The KEGG pathway is the annotation….” This sentence could be rephrased as “ The KEGG pathway is the annotation of functional gene pathways involving a group of genes”

Line 351: “The DEGs of these immune-related genes…” could be rephrased as “The differential expression of these immune-related genes…”

Response: The sentences were corrected in the revised manuscript according to this comment. The manuscript has been reviewed by a professional proofreading and editing service by a native English user.

Again, we appreciate the time and energy dedicated by our reviewers and editors. Changes in the revised manuscript are expressed in red characters.

We hope you would find the present manuscript would be suited for publication in PLOS ONE.

Sincerely yours,

Corresponding author

Attachment

Submitted filename: Response to reviewers final 082921.docx

Decision Letter 1

Vasu Punj

11 Oct 2021

Upregulation of a nuclear factor-kappa B-interacting immune gene network in mice cochleae with age-related hearing loss

PONE-D-21-13350R1

Dear Dr. Maeda,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

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Kind regards,

Vasu Punj

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

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Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Sasa Vasilijic

Acceptance letter

Vasu Punj

13 Oct 2021

PONE-D-21-13350R1

Upregulation of a nuclear factor-kappa B-interacting immune gene network in mice cochleae with age-related hearing loss

Dear Dr. Maeda:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Vasu Punj

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Gene symbols, names, and cochlear expressions of the 84 immune-related genes examined by real-time RT-PCR array in this study.

    The expressions of inflammatory and immune-related genes in the cochleae of 12-month-old relative to 6–7-week-old mice are tabulated. The expressions of 84 immune-related genes were analyzed by real-time RT-PCR array. As a result, 33 upregulated and 7 downregulated genes were detected with greater than a twofold or less than a 0.5-fold change, respectively, with a P-value <0.05 for significantly different expression levels between the 12-month-old and 6–7-week-old mice (n = 3, t-test).

    (XLSX)

    Attachment

    Submitted filename: Response to reviewers final 082921.docx

    Data Availability Statement

    All relevant data are within the manuscript.


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