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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2021.749925</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Stress Response and Hearing Loss Differentially Contribute to Dynamic Alterations in Hippocampal Neurogenesis and Microglial Reactivity in Mice Exposed to Acute Noise Exposure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Qian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1427637/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yao</surname> <given-names>Xiuting</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/846019/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Conghui</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Haiqing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Dan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Chenxi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhuang</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1522991/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shen</surname> <given-names>Sinuo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Shaoyang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fu</surname> <given-names>Chenge</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yifan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Teng</surname> <given-names>Gaojun</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/632635/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Lijie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/307490/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Life Science and Technology, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Medical College, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Public Health, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Jiangsu Key Laboratory of Molecular Imaging and Functional Imaging, Department of Radiology, Medical School, Zhongda Hospital, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Wei Sun, University at Buffalo, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Senthilvelan Manohar, University at Buffalo, United States; Yu-Chen Chen, Nanjing Medical University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Gaojun Teng, <email>gjteng@seu.edu.cn</email></corresp>
<corresp id="c002">Lijie Liu, <email>liulijie@seu.edu.cn</email>; <email>Liulijie1973@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Neuroscience</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>15</volume>
<elocation-id>749925</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Li, Li, Yao, Wang, Liu, Xu, Yang, Zhuang, Xiao, Liu, Shen, Zhou, Fu, Wang, Teng and Liu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Li, Li, Yao, Wang, Liu, Xu, Yang, Zhuang, Xiao, Liu, Shen, Zhou, Fu, Wang, Teng and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Noise-induced hearing loss (NIHL) is one of the most prevalent forms of acquired hearing loss, and it is associated with aberrant microglial status and reduced hippocampal neurogenesis; however, the nature of these associations is far from being elucidated. Beyond its direct effects on the auditory system, exposure to intense noise has previously been shown to acutely activate the stress response, which has increasingly been linked to both microglial activity and adult hippocampal neurogenesis in recent years. Given the pervasiveness of noise pollution in modern society and the important implications of either microglial activity or hippocampal neurogenesis for cognitive and emotional function, this study was designed to investigate how microglial status and hippocampal neurogenesis change over time following acoustic exposure and to analyze the possible roles of the noise exposure-induced stress response and hearing loss in these changes. To accomplish this, adult male C57BL/6J mice were randomly assigned to either a control or noise exposure (NE) group. Auditory function was assessed by measuring ABR thresholds at 20 days post noise exposure. The time-course profile of serum corticosterone levels, microglial status, and hippocampal neurogenesis during the 28 days following noise exposure were quantified by ELISA or immunofluorescence staining. Our results illustrated a permanent moderate-to-severe degree of hearing loss, an early but transient increase in serum corticosterone levels, and time-dependent dynamic alterations in microglial activation status and hippocampal neurogenesis, which both present an early but transient change and a late but enduring change. These findings provide evidence that both the stress response and hearing loss contribute to the dynamic alterations of microglia and hippocampal neurogenesis following noise exposure; moreover, noise-induced permanent hearing loss rather than noise-induced transient stress is more likely to be responsible for perpetuating the neurodegenerative process associated with many neurological diseases.</p>
</abstract>
<kwd-group>
<kwd>noise exposure</kwd>
<kwd>noise-induced hearing loss</kwd>
<kwd>stress</kwd>
<kwd>hippocampal neurogenesis</kwd>
<kwd>microglia</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="104"/>
<page-count count="14"/>
<word-count count="9745"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>In recent decades, a massive shift has been observed in the global burden of disease from communicable causes (e.g., diarrheal and other infectious diseases) to non-communicable causes (e.g., dementia) (<xref ref-type="bibr" rid="B9">Benziger et al., 2016</xref>). Dementia is among the most common chronic non-communicable neurodegenerative diseases (<xref ref-type="bibr" rid="B15">Collaborators, 2019</xref>; <xref ref-type="bibr" rid="B8">Bazargan-Hejazi et al., 2020</xref>). Given the substantial social and economic implications of dementia as well as the lack of curative treatment, an identification and understanding of risk factors associated with dementia are needed to accelerate disease prevention and realize morbidity improvements (<xref ref-type="bibr" rid="B56">Livingston et al., 2017</xref>).</p>
<p>Convergent lines of evidence from epidemiological and experimental studies indicate that acquired peripheral hearing loss (HL) is a significant risk factor for dementia (<xref ref-type="bibr" rid="B51">Lin et al., 2011</xref>; <xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>; <xref ref-type="bibr" rid="B56">Livingston et al., 2017</xref>, <xref ref-type="bibr" rid="B55">2020</xref>; <xref ref-type="bibr" rid="B91">Thomson et al., 2017</xref>; <xref ref-type="bibr" rid="B57">Loughrey et al., 2018</xref>; <xref ref-type="bibr" rid="B65">Nixon et al., 2019</xref>; <xref ref-type="bibr" rid="B68">Orgeta et al., 2019</xref>; <xref ref-type="bibr" rid="B94">Uchida et al., 2019</xref>). Excessive exposure to environmental noise, a pervasive pollutant that directly affects the health and well-being of exposed subjects (<xref ref-type="bibr" rid="B82">Stansfeld and Matheson, 2003</xref>; <xref ref-type="bibr" rid="B96">Uran et al., 2010</xref>; <xref ref-type="bibr" rid="B7">Basner et al., 2014</xref>; <xref ref-type="bibr" rid="B53">Liu et al., 2016b</xref>; <xref ref-type="bibr" rid="B31">Hahad et al., 2019</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>) is the most common contributing factor leading to acquired peripheral HL (<xref ref-type="bibr" rid="B63">Nelson et al., 2005</xref>; <xref ref-type="bibr" rid="B38">Jeschke et al., 2020</xref>). According to the World Health Organization (WHO), one-third of all cases of HL can be attributed to noise exposure (<xref ref-type="bibr" rid="B66">No authors listed, 1990</xref>; <xref ref-type="bibr" rid="B63">Nelson et al., 2005</xref>; <xref ref-type="bibr" rid="B49">Le et al., 2017</xref>). In our previous study using animals with noise-induced hearing loss (NIHL), impaired cognitive behavior and hippocampal neurogenesis as well as abnormal microglia were observed months after noise exposure (<xref ref-type="bibr" rid="B88">Tao et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), which not only provided supportive evidence for the causative role of acquired peripheral HL in the development of dementia but also suggested the mediating roles of hippocampal neurogenesis impairment and microglial dysfunction in this causative relationship. However, beyond its direct effects on the auditory system, exposure to intense noise has previously been shown to acutely activate the stress response (<xref ref-type="bibr" rid="B76">Samson et al., 2007</xref>; <xref ref-type="bibr" rid="B53">Liu et al., 2016b</xref>; <xref ref-type="bibr" rid="B31">Hahad et al., 2019</xref>), which has increasingly been linked to both microglial activity (<xref ref-type="bibr" rid="B24">Frank et al., 2019</xref>) and adult hippocampal neurogenesis in recent years (<xref ref-type="bibr" rid="B84">Surget and Belzung, 2021</xref>). Given the pervasiveness of noise pollution in modern society (<xref ref-type="bibr" rid="B28">Goines and Hagler, 2007</xref>), the potential vulnerability of the hippocampus to intense noise exposure (<xref ref-type="bibr" rid="B44">Kraus et al., 2010</xref>; <xref ref-type="bibr" rid="B16">Cui et al., 2012</xref>; <xref ref-type="bibr" rid="B12">Cheng et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Hayes et al., 2019</xref>), and the well-known important implications of either microglial activity or hippocampal neurogenesis for cognitive function (<xref ref-type="bibr" rid="B18">De Lucia et al., 2016</xref>; <xref ref-type="bibr" rid="B33">Hansen et al., 2018</xref>; <xref ref-type="bibr" rid="B70">Rodriguez-Iglesias et al., 2019</xref>; <xref ref-type="bibr" rid="B85">Suss and Schlachetzki, 2020</xref>), simultaneously analyzing the time course for changes in the stress response, hearing threshold, microglial status, and hippocampal neurogenesis after cessation of brief intensive noise exposure is essential for better comprehending the deleterious effects of noise on brain function.</p>
<p>Therefore, the main purpose of this study was to investigate how microglial status and hippocampal neurogenesis change over time following acoustic exposure and to analyze the possible roles of noise exposure-induced stress responses and HL in these changes. To accomplish this, adult male C57BL/6J mice were randomly assigned to either a control or noise exposure (NE) group. Auditory function was assessed by measuring auditory brainstem response (ABR) thresholds at 20 days post NE. The dynamic profile of serum corticosterone levels, microglial status, and hippocampal neurogenesis over the time span from immediately after to 28 days after the cessation of NE were analyzed by ELISA or immunofluorescence staining. Our results illustrated a permanent moderate-to-severe degree of NIHL, an early but transient increase in serum corticosterone levels, and dynamic alterations in microglial activation status and hippocampal neurogenesis, which both consist of an early but transient change and a late but enduring change. These findings corroborate previous observations demonstrating the association between NIHL and hippocampal neurodegenerative changes (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>) and provide further insights into the potential mechanisms underlying the adverse effect of NE on the brain.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Animals</title>
<p>Young adult (aged 2 months) male C57BL/6J mice were purchased from SPF Biotechnology Co., Ltd. (Beijing, China; No. SCXK 2019-0010). In total, 64 mice that passed the Preyer reflex test were used in the study. The mice were housed four per cage under standard conditions (8 a.m.&#x2013;8 p.m. light cycle, 22&#x00B0;C, 55% humidity, and <italic>ad libitum</italic> access to food and water) provided by the University Committee for Laboratory Animals of Southeast University, China (SCXK2011-0003). One week after arrival, the mice were randomly assigned to a control group and seven NE groups (<italic>n</italic> = 8/group). Animals in each NE group were separately exposed to broadband noise for 2 h at a sound pressure level (SPL) of 123 dB. The subgroups of NE animals were separately sacrificed immediately after or at 12 h, 1, 3, 7, 14, and 28 days after NE (0HPN, 12HPN, 1DPN, 3DPN, 7DPN, 14DPN, and 28DPN, respectively).</p>
</sec>
<sec id="S2.SS2">
<title>Noise Exposure</title>
<p>The animals in the NE groups were exposed to a single dose of broadband noise at 123 dB SPL for 2 h during the light phase as previously described (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>). The awake and unrestrained animals were kept individually in a metal wire mesh cage (cage size: 11 cm &#x00D7; 11 cm &#x00D7; 23 cm) located 40 cm below the horns of two loudspeakers (an NJ speaker YD380-8bH and a BM professional speaker HG10044XT, nominal bandwidth 1&#x2013;20 kHz). The noise signal was generated by a System III processor from Tucker&#x2013;Davis Technologies (TDT, Alachua, FL, United States) and amplified by a Yamaha P9500S power amplifier. Animals were acclimatized for 30 min in the exposure chamber before the loudspeakers were turned on. During the exposure, which began at 06:00 p.m., the noise level was monitored and controlled within the range of 123 dB SPL &#x00B1; 1 dB by using a 1/4-inch microphone linked to a sound level meter (Larson Davis, Depew, NY, United States; 2,520 microphone and 824 sound level meter, Larson Davis, Depew, NY, United States). For the control group, all operations were the same as those in the 0 HPN group except that the animals were treated with sham exposure, in which the loudspeaker was not turned on.</p>
</sec>
<sec id="S2.SS3">
<title>Auditory Brainstem Response Assessment</title>
<p>A number of studies in animal models have demonstrated that, after NEs that are intense enough to produce permanent effects, hearing thresholds recover exponentially for periods extending up to 2&#x223C;3 weeks and finally reach a steady state (<xref ref-type="bibr" rid="B46">Kujawa and Liberman, 2006</xref>; <xref ref-type="bibr" rid="B72">Ryan et al., 2016</xref>). Thus, the ABRs of 28DPN and control mice were assessed 8 days before their sacrifice (i.e., 20 days after NE) in a sound-attenuating chamber to determine the hearing thresholds of mice. The animals were anesthetized by intraperitoneal injection of pentobarbital (50 mg/kg body weight), and their body temperature was maintained at approximately 37.5 &#x00B1; 0.5&#x00B0;C by placing them on a thermostatic heating pad during testing and recovery from anesthesia. Three subdermal needles were inserted ventrolateral to the left pinna (active), vertex (reference), and right hind limb (ground) of the testing mice, and they served as electrodes for ABR recording. TDT hardware (RZ6, System III) and software (BioSig and SigGen) were used for signal generation and ABR acquisition. Tone bursts of 2, 4, 8, 16, and 32 kHz (10-ms duration with cos<sup>2</sup> gating and 0.5-ms rise/fall time, at the rate of 21.1/s) were presented monaurally in an open field using a broadband speaker (MF1; TDT) located 10 cm in front of the animal&#x2019;s head. The evoked responses were amplified 20 times <italic>via</italic> an RA16PA preamplifier (TDT) and filtered between 100 and 3,000Hz. The responses were averaged 1,000 times. At each frequency, the test was performed in a degressive sequence starting from 90 dB SPL, which was weakened in 5-dB steps until no ABR response was detected. The ABR threshold at each frequency was defined as the lowest sound level at which a repeatable wave III in ABR was detected. If a repeatable wave III was not detected at an SPL of 90 dB, then a threshold of 95dB was assigned to the mouse.</p>
</sec>
<sec id="S2.SS4">
<title>Tissue and Blood Harvest</title>
<p>Sample collections of each group except the 12 HPN group were performed between 08:00 and 09:00 a.m. to avoid potential variations related to the circadian rhythm; for the 12 HPN group, the collections were performed between 08:00 p.m. and 09:00 p.m. At the defined time of sacrifice, mice were deeply anesthetized with pentobarbital (100 mg/kg, i.p.) and blood was rapidly collected by cardiac puncture into centrifugal tubes and allowed to clot. After blood collection, the animals were perfused transcardially with 20 ml 0.9% saline followed by 20 ml of 4% paraformaldehyde (PFA) in 0.1 M PBS, and whole brains were quickly excised, postfixed in 4% PFA for 6&#x2013;8 h at 4&#x00B0;C, cryoprotected in 30% sucrose in PBS until the organ sank, embedded in OCT compound, and then stored at &#x2212;80&#x00B0;C until ready for sectioning.</p>
</sec>
<sec id="S2.SS5">
<title>Measurement of Corticosterone Levels</title>
<p>The clotted blood samples were centrifuged to separate the cells from the serum. The resulting serum was collected and stored at &#x2013;80&#x00B0;C until use. The amount of corticosterone in serum was analyzed by enzyme-linked immunosorbent assay (ELISA) using a commercial mouse corticosterone quantification kit (CSB-E07969 m; Cusabio, Houston, TX 77054, United States).</p>
</sec>
<sec id="S2.SS6">
<title>Immunohistochemistry</title>
<p>Hippocampal neurogenesis and the microglia status in each region of interest (ROI) were determined by immunohistochemistry as previously described (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>). The frozen brain blocks were cut into 40-&#x03BC;m-thick sections using a cryostat (Leica Cryostat Microtome 1900, Heidelberger, Germany). All sections were collected and stored in cryoprotectant solution (30% ethylene glycol and 25% glycerin in 0.1 M phosphate buffer) at &#x2013;20&#x00B0;C until needed. For each animal, five to six sections (320 &#x03BC;m apart) across the hippocampus were included for the study of neurogenesis or microglia status. For the ventral cochlear nucleus (VCN), dorsal cochlear nucleus (DCN), inferior colliculus (IC), and auditory cortex (AC), two to three coronal sections per ROI (sections 120 &#x03BC;m apart for the VCN and DCN and 320 &#x03BC;m apart for the IC and AC) per animal were used for microglial analysis.</p>
<p>Staining was performed using selected free-floating sections. The selected sections were permeabilized with 0.1% Triton X-100 in PBS for 30 min. After blocking with blocking solution for 2 h, the following primary antibodies were incubated overnight at 4&#x00B0;C: rabbit anti-Ki67 (for proliferating cells; Abcam, 1:500, ab16667), guinea pig anti-DCX (doublecortin, for newly generated neurons; Millipore, 1:1,000, AB2253), rabbit anti-Iba1 (ionized calcium-binding adaptor molecule 1, for microglia; Wako, 1:1,500, 019-19741), and rat anti-CD68 (cluster of differentiation 68, for phagocytic microglia; Bio-Rad, 1:1,500, MCA1957). After extensive washing, the sections were incubated with the appropriate secondary antibody for 2 h at room temperature: Alexa-488 goat anti-rabbit (Abcam, Cambridge, CB2 0AX, United Kingdom, 1:1,000, ab150077), Alexa-568 goat anti-guinea pig (Abcam, 1:1,000, ab175714), Alexa-568 goat anti-rabbit (Abcam, 1:1,000, ab175471), and Alexa-488 goat anti-rat (Thermo Fisher Scientific, 1:1,000, A11006). All sections were counterstained with DAPI (Beyotime, Shanghai, China, 1:750, C1027) at room temperature for 15 min to visualize the cell nuclei.</p>
</sec>
<sec id="S2.SS7">
<title>Image Analysis</title>
<p>Images were captured using a fluorescence microscope (Olympus BX53, Japan) or a confocal microscope (Olympus FV3000, Japan). Samples were analyzed by an observer blinded to the experimental treatment using ImageJ software (US National Institutes of Health, Bethesda, MD, United States). Maximum intensity projections of confocal z-series stacks at an interval of 1.0 &#x03BC;m were created and aligned in the x&#x2013;y plane to create two-dimensional images. The target brain regions of interest (ROIs) were confirmed according to the Allen Mouse Brain Atlas (<xref ref-type="bibr" rid="B2">Allen Institute for Brain Science, 2008</xref>). The number of DCX- or Ki67-positive cells in each image was manually counted using the cell counter function of ImageJ in an area of the subgranular zone (SGZ), which is defined as the SGZ length in the image multiplied by an SGZ height of 20 &#x03BC;m [a layer of cells expanding 5 &#x03BC;m into the hilus and 15 &#x03BC;m into the granular cell layer (GCL)] (<xref ref-type="bibr" rid="B80">Sierra et al., 2010</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>).</p>
<p>Microglial cells were identified by immunofluorescence staining using Iba1-specific antibodies, enabling an analysis of the morphology of individual microglial cells (<xref ref-type="bibr" rid="B45">Kreisel et al., 2014</xref>; <xref ref-type="bibr" rid="B102">Young and Morrison, 2018</xref>). The following parameters were employed to characterize the microglial phenotypic profile (<xref ref-type="bibr" rid="B26">Gebara et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Hong et al., 2016</xref>; <xref ref-type="bibr" rid="B23">Fernandez-Mendivil et al., 2021</xref>) in the defined brain ROIs: (1) microglial density, which was defined as the number of Iba1-positive (Iba1<sup>+</sup>) cells per brain area; (2) average microglial soma area, which was defined as the area of the spherical part of Iba1<sup>+</sup> cells that contains the nucleus; (3) average microglial territory area, which was defined as the two-dimensional area formed by connecting the outermost points of an Iba1<sup>+</sup> cell&#x2019;s dendritic processes; and (4) microglial CD68 score, which was determined by the CD68 occupancy within Iba1<sup>+</sup> microglia, ranging from 0 (low CD68 occupancy) to 3 (high CD68 occupancy), where a higher score corresponded to higher microglial phagocytic activity.</p>
</sec>
<sec id="S2.SS8">
<title>Statistical Analysis</title>
<p>The data were analyzed using GraphPad Prism 5 (GraphPad Software). All values are expressed as the mean &#x00B1; standard error (SE). The level of statistical significance between groups was determined using one- or two-way analysis of variance (ANOVA) followed by Tukey&#x2019;s or Dunnett&#x2019;s <italic>post hoc</italic> test or Student&#x2019;s two-tailed <italic>t</italic>-test as appropriate. Relationships between parameters were assessed by Pearson&#x2019;s coefficient analysis. Values of <italic>p</italic> &#x003C; 0.05 were accepted as statistically significant.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Permanent Hearing Loss Induced by Noise Exposure</title>
<p>Because auditory thresholds caused by NE recover exponentially with increasing post exposure time and reach a steady state within 2&#x223C;3 weeks (<xref ref-type="bibr" rid="B46">Kujawa and Liberman, 2006</xref>; <xref ref-type="bibr" rid="B72">Ryan et al., 2016</xref>), ABR audiograms of the 28DPN group were obtained at 20 days post exposure and compared with the time-matched value from the control group to evaluate the extent of permanent NIHL (<xref ref-type="fig" rid="F1">Figure 1A</xref>). <xref ref-type="fig" rid="F1">Figure 1B</xref> shows that the ABR threshold was significantly higher in 28DPN mice than in control mice at every tested frequency [two-way ANOVA, effect of noise: <italic>F</italic><sub>(1</sub>, <sub>75)</sub> = 498.5, <italic>p</italic> &#x003C; 0.0001]. The frequency-averaged threshold (<xref ref-type="fig" rid="F1">Figure 1C</xref>) of the 28DPN group was significantly higher than that of the control group (88.75 &#x00B1; 0.8814 dB SPL vs. 48.33 &#x00B1; 2.571 dB SPL, <italic>p</italic> &#x003C; 0.0001). These results indicated that a moderate-to-severe degree of permanent hearing loss was induced by the NE experiments.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Noise-induced ABR threshold shift measured at 20 days post noise exposure. <bold>(A)</bold> Experimental design for noise exposure and sampling. <bold>(B)</bold> ABR frequency-threshold curves of the 28DPN and control groups obtained at 20 days after noise exposure. <bold>(C)</bold> ABR frequency-averaged thresholds for the 28DPN and control groups obtained at 20 days after noise exposure. The values are presented as the mean &#x00B1; SEM of eight mice per group. &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.0001 in the <italic>post hoc</italic> comparisons between the 28DPN group and the control group using two-way repeated-measure ANOVA <bold>(B)</bold> or <italic>t</italic>-test <bold>(C)</bold>.</p></caption>
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</sec>
<sec id="S3.SS2">
<title>Early but Transient Stress Response Induced by Noise Exposure</title>
<p>The serum corticosterone (CORT) concentration of each group is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. One-way ANOVA followed by Dunnett&#x2019;s multiple-comparison test revealed that only the 0 HPN group exhibited significantly elevated serum CORT levels compared with the control group (<italic>p</italic> = 0.0044), indicating that an immediate but transient stress response was induced by the NE experiments.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Noise-exposed mice exhibited an early but transient increase in serum corticosterone (CORT). The values are presented as the mean &#x00B1; SEM of 6&#x2013;8 mice per group. <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01 in the <italic>post hoc</italic> comparisons between the noise group and the controls after one-way ANOVA.</p></caption>
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</sec>
<sec id="S3.SS3">
<title>Dynamic Changes in Hippocampal Neurogenesis After Noise Exposure</title>
<p>To evaluate the impact of acute high-intensity NE on hippocampal neurogenesis, we stained the hippocampal sections for Ki67 (an endogenous proliferative marker of adult neurogenesis) and DCX (an endogenous marker of newly generated neurons expressed for a duration of 20&#x2013;30 days after cell division) and counted the number of immunopositive cells.</p>
<p><xref ref-type="fig" rid="F3">Figures 3A&#x2013;F</xref> shows representative images of DCX and Ki67 immunostaining in the SGZ from each group. One-way ANOVA followed by Dunnett&#x2019;s multiple-comparison test revealed that the noise-exposed mice exhibited significantly fewer Ki67 + cells than the control mice at 1DPN, 7DPN, and 28DPN (<xref ref-type="fig" rid="F3">Figure 3G</xref>) and clearly fewer DCX<sup>+</sup> cells than the control mice at 28DPN (<xref ref-type="fig" rid="F3">Figure 3H</xref>, <italic>p</italic> = 0.0602).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Noise-exposed mice exhibited dynamic changes in hippocampal neurogenesis. <bold>(A&#x2013;F)</bold> Representative images of DCX<sup>+</sup> (red) and Ki67<sup>+</sup> (green) cells in the DG of control and noise-exposed mice. Scale bar: 100 &#x03BC;m. The white rectangle shows the field of view that is shown in the row <bold>(a&#x2013;f)</bold> below in higher magnification and the third row <bold>(a1&#x2013;f2)</bold> for Ki67<sup>+</sup> cells (green, indicated by arrows in <bold>a1&#x2013;f1</bold>) and DCX<sup>+</sup> cells (red, indicated by arrowheads in <bold>a2&#x2013;f2</bold>). <bold>(G,H)</bold> Quantitative analyses of Ki67<sup>+</sup> cells <bold>(G)</bold> and DCX<sup>+</sup> cells <bold>(H)</bold> in the SGZ of each group. The values are presented as the mean &#x00B1; SEM of 8 mice per group. &#x002A;<italic>p</italic> &#x003C; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001 in <italic>post hoc</italic> comparisons between the noise-exposed group and the control group following one-way ANOVA.</p></caption>
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</sec>
<sec id="S3.SS4">
<title>Dynamic Alterations of Microglia in Auditory Brain Regions After Acute Noise Exposure</title>
<p><xref ref-type="fig" rid="F4">Figures 4A1&#x2013;F4</xref> show representative confocal images of microglial cells stained for Iba-1 and CD68 from each group across auditory brain ROIs. Similar to previous observations (<xref ref-type="bibr" rid="B67">Olah et al., 2011</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), microglia in the control mice exhibited ramified morphologies that differed in cell density and process ramification at distinct anatomical regions of the brain (<xref ref-type="fig" rid="F4">Figures 4A1&#x2013;4</xref>). Compared with the control group, the noise-exposed groups showed comparable microglial density in each ROI. Microglia with larger somas, fewer branches, thicker processes, and increased CD68 occupancy were more frequently observed in noise-exposed groups, indicating microglial activation caused by NE (<xref ref-type="bibr" rid="B36">Hong et al., 2016</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Noise-exposed mice exhibited dynamic microglial alterations in auditory brain regions. <bold>(A1&#x2013;F4)</bold> Representative images of Iba1 (red)-, CD68 (green)- and DAPI (blue)-stained brain sections of the control and noise-exposed mice. Scale bar: 100 &#x03BC;m. The insets show higher magnifications of the corresponding microglia signified by arrowheads. <bold>(G)</bold> Soma area and territory area of microglia delineated by a solid (soma area) line and a dotted (territory area) line, respectively. <bold>(H0&#x2013;H3)</bold> Representative images of the scoring of CD68 levels within Iba1<sup>+</sup> cells. A score of 0 indicates no/scarce expression <bold>(H0)</bold>; 1 signifies only patchy positivity <bold>(H1)</bold>; 2 represents punctate expression roughly covering one-third to two-thirds of cells <bold>(H2)</bold>; and 3 represents greater than two-thirds occupancy <bold>(H3)</bold>. <bold>(I1&#x2013;L4)</bold> Quantification of the impact of NE on each individual parameter of microglia in the VCN, DCN, IC, and AC. The values are presented as the mean &#x00B1; SEM of 3&#x2013;6 mice per group. &#x002A;<italic>p</italic> &#x003C; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001, <sup>&#x002A;&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.0001 in <italic>post hoc</italic> comparisons between the noise-exposed group and the control group following one-way ANOVA.</p></caption>
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<p>Consistent with previous studies (<xref ref-type="bibr" rid="B11">Campos Torres et al., 1999</xref>; <xref ref-type="bibr" rid="B6">Baizer et al., 2015</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), quantification of the morphological features of microglia (<xref ref-type="fig" rid="F4">Figures 4G,I1&#x2013;L4</xref>) revealed that the microglia in the VCN, DCN, IC, and AC assumed an activated phenotype at 28DPN characterized by increased soma area (<xref ref-type="fig" rid="F4">Figures 4J1,J4</xref>), decreased microglial territory area (<xref ref-type="fig" rid="F4">Figures 4K1&#x2013;3</xref>), increased percentage of microglia with high CD68 score, but decreased percentage of microglia with lower CD68 score (<xref ref-type="fig" rid="F4">Figures 4L1&#x2013;4</xref>). Microglia in the VCN were persistently activated from 3DPN to 28DPN (<xref ref-type="fig" rid="F4">Figures 4J1,K1,L1</xref>). Although few signs of microglial activation were observed in the DCN and IC at 3DPN (<xref ref-type="fig" rid="F4">Figures 4L2,L3</xref>) and the AC at 7DPN (<xref ref-type="fig" rid="F4">Figures 4J4,L4</xref>), no signs of microglial activation were observed in the auditory ROIs at 14DPN except for the VCN.</p>
</sec>
<sec id="S3.SS5">
<title>Dynamic Alterations in Hippocampal Microglia After Acute Noise Exposure</title>
<p>As shown in <xref ref-type="fig" rid="F5">Figure 5</xref>, Iba1<sup>+</sup> microglial cells were widely distributed in the DG, CA3, and CA1 of both the control and noise-exposed mice. Similar to our previous study (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), microglia in the control mice exhibited ramified morphologies that differed in cell density and process ramification at distinct anatomical regions of the hippocampus (<xref ref-type="fig" rid="F5">Figures 5A1&#x2013;3</xref>). Microglial density in the ROIs was comparable between the groups. However, microglia with enlarged soma, decreased territory area, and increased CD68 occupancy were more frequently observed in the noise-exposed mice (<xref ref-type="fig" rid="F5">Figures 5B1&#x2013;F3</xref>), suggesting that an abnormal hippocampal microglial reaction developed in the noise-exposed mice.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Noise-exposed mice exhibited dynamic microglial alterations in the hippocampus. <bold>(A1&#x2013;F3)</bold> Representative images of Iba1 (red)-, CD68 (green)-, and DAPI (blue)-stained brain sections of control and noise-exposed mice. Scale bar: 100 &#x03BC;m. The insets show higher magnifications of the corresponding microglia signified by arrowheads. <bold>(G1&#x2013;J3)</bold> Quantification of the impact of NE on each individual parameter of microglia in the DG, CA3, and CA1. The values are presented as the mean &#x00B1; SEM of 3&#x2013;6 mice per group. &#x002A;<italic>p</italic> &#x003C; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.001, <sup>&#x002A;&#x002A;&#x002A;&#x002A;</sup><italic>p</italic> &#x003C; 0.0001 in <italic>post hoc</italic> comparisons between the noise-exposed group and the control group following one-way ANOVA.</p></caption>
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<p>The time-course profile of hippocampal microglial parameters following NE is shown in <xref ref-type="fig" rid="F5">Figures 5G1&#x2013;J3</xref>. <italic>Post hoc</italic> comparisons using Dunnett&#x2019;s test indicated microglial overactivation in the DG and CA3 at 28DPN, as evidenced by a significant increase in the soma area (<xref ref-type="fig" rid="F5">Figures 5H1,H2</xref>), decrease in the territory area (<xref ref-type="fig" rid="F5">Figures 5I1,I2</xref>), increase in the percentage of microglia with higher CD68 score (<xref ref-type="fig" rid="F5">Figure 5J1</xref>), and/or decrease in the percentage of microglia with lower CD68 score (<xref ref-type="fig" rid="F5">Figures 5J1,J2</xref>). Signs of microglial activation (i.e., significantly larger than the control soma area, smaller than the control territory area, and enhanced CD68 expression reflected by the CD68 score) were observed in the DG and CA3 at 3DPN and 7DPN but disappeared at 14DPN. Except for the decreased percentage of microglia with lower CD68 scores exhibited at 7DPN and 28DPN (<xref ref-type="fig" rid="F5">Figure 5J3</xref>), no sign of abnormal microglial status was observed in CA1.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Acquired peripheral HL has been ranked as the largest potentially modifiable health and lifestyle factor for the development of dementia (<xref ref-type="bibr" rid="B51">Lin et al., 2011</xref>; <xref ref-type="bibr" rid="B56">Livingston et al., 2017</xref>, <xref ref-type="bibr" rid="B55">2020</xref>; <xref ref-type="bibr" rid="B91">Thomson et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Nixon et al., 2019</xref>; <xref ref-type="bibr" rid="B68">Orgeta et al., 2019</xref>; <xref ref-type="bibr" rid="B94">Uchida et al., 2019</xref>). Environmental noise represents the most common preventable cause of acquired sensorineural hearing loss, and it is increasingly encountered in many aspects of day-to-day modern life (<xref ref-type="bibr" rid="B69">Rabinowitz, 2000</xref>; <xref ref-type="bibr" rid="B49">Le et al., 2017</xref>). Worldwide, 16% of the disabling hearing loss in adults is attributed to occupational noise including construction, agriculture, mining, manufacturing, utilities, transportation, and the military (<xref ref-type="bibr" rid="B13">Chepesiuk, 2005</xref>; <xref ref-type="bibr" rid="B63">Nelson et al., 2005</xref>). NIHL resulting from hazardous recreational noise (e.g., sporting events, concerts, nightclubs, firearms, and personal stereos) is increasing in modern society (<xref ref-type="bibr" rid="B59">Meinke et al., 2017</xref>; <xref ref-type="bibr" rid="B21">Feder et al., 2019</xref>; <xref ref-type="bibr" rid="B30">Gopal et al., 2019</xref>). Popular &#x201C;boom cars&#x201D; equipped with powerful stereo systems that are usually played with the volume and bass turned up abnormally high, and the car windows rolled down can hit 140&#x2013;150 dBA (<xref ref-type="bibr" rid="B13">Chepesiuk, 2005</xref>). It is estimated that 12% or more of the global population is at risk of hearing loss due to unsafe levels of sound exposure (<xref ref-type="bibr" rid="B49">Le et al., 2017</xref>). According to WHO reports, one-third of all cases of hearing loss can be attributed to NE <xref ref-type="bibr" rid="B66">No authors listed (1990)</xref>, and the prevalence of NIHL is still increasing (<xref ref-type="bibr" rid="B37">Imam and Hannan, 2017</xref>). Considering the tremendous disability weight and the expanding healthcare burden posed by dementia (<xref ref-type="bibr" rid="B55">Livingston et al., 2020</xref>) as well as the increasing pervasiveness of noise (<xref ref-type="bibr" rid="B28">Goines and Hagler, 2007</xref>), the animal model of NIHL is undoubtedly optimal for studying the underlying mechanisms linking dementia and acquired peripheral HL.</p>
<p>The hippocampus, a kernel cognition- and emotion-related brain region embedded deep into the temporal lobe, is generally considered one of the earliest affected brain regions in patients with dementia (<xref ref-type="bibr" rid="B10">Braak and Braak, 1997</xref>; <xref ref-type="bibr" rid="B101">Xue et al., 2019</xref>). Adult hippocampal neurogenesis is a unique form of neural circuit plasticity that results in the generation of new neurons in the dentate gyrus (DG) throughout life and plays a vital role in hippocampus-dependent learning and memory (<xref ref-type="bibr" rid="B73">Sahay et al., 2011</xref>; <xref ref-type="bibr" rid="B48">Lazarov and Hollands, 2016</xref>). Adult hippocampal neurogenesis generates only granule cells, the principal neuron in the DG (<xref ref-type="bibr" rid="B39">Kempermann et al., 2015</xref>). The first relay in the hippocampal trisynaptic circuit is composed of granule cells, which extend dendrites into the molecular layer and present axons that form the mossy fiber tract that extends to CA3, and these cells are thought to be essential to cognitive function (<xref ref-type="bibr" rid="B29">GoodSmith et al., 2017</xref>). Emerging evidence has indicated that altered hippocampal neurogenesis represents an early critical event in the course of dementia (<xref ref-type="bibr" rid="B62">Mu and Gage, 2011</xref>; <xref ref-type="bibr" rid="B92">Tobin et al., 2019</xref>; <xref ref-type="bibr" rid="B20">Disouky and Lazarov, 2021</xref>).</p>
<p>Adult neurogenesis is a complex multistage and multiweek process involving cell proliferation, neuronal differentiation, and, ultimately, survival, and integration into functional circuits (<xref ref-type="bibr" rid="B47">Lagace et al., 2010</xref>; <xref ref-type="bibr" rid="B39">Kempermann et al., 2015</xref>). This dynamic process is regulated both positively and negatively by a variety of growth factors and environmental experiences (<xref ref-type="bibr" rid="B103">Zhao et al., 2008</xref>). Microglia, the resident macrophages and primary immune cells of the brain, can orchestrate their highly plastic, context-specific adaptive responses to remodel neuronal circuit structures and functions (<xref ref-type="bibr" rid="B100">Wake et al., 2013</xref>; <xref ref-type="bibr" rid="B19">Delpech et al., 2015</xref>). They play integral roles in both the healthy and injured brain, from surveillance and monitoring to sculpting neuronal circuits and guiding plasticity (<xref ref-type="bibr" rid="B80">Sierra et al., 2010</xref>; <xref ref-type="bibr" rid="B27">Gemma and Bachstetter, 2013</xref>; <xref ref-type="bibr" rid="B79">Sato, 2015</xref>; <xref ref-type="bibr" rid="B14">Chugh and Ekdahl, 2016</xref>). Increasing evidence indicates that microglial cells indeed exert vital roles in the maintenance of the functional neurogenic niche and are actively involved in crucial steps of adult neurogenesis, including the proliferation, differentiation, and survival of newborn cells (<xref ref-type="bibr" rid="B27">Gemma and Bachstetter, 2013</xref>; <xref ref-type="bibr" rid="B41">Kohman and Rhodes, 2013</xref>; <xref ref-type="bibr" rid="B79">Sato, 2015</xref>; <xref ref-type="bibr" rid="B60">Mosser et al., 2017</xref>).</p>
<p>Microglial cells are heterogeneous and dynamically pleomorphic. It is well established that the morphology of microglia is inextricably linked to their functional status (<xref ref-type="bibr" rid="B1">Ajami et al., 2007</xref>; <xref ref-type="bibr" rid="B4">Angelova and Brown, 2019</xref>). Surveillance microglia display a ramified phenotype marked by a stable number, small soma, and numerous long, thin, motile processes with delicate arborization that constantly monitor their immediate surroundings by extending and retracting their processes (also called ramified microglia) (<xref ref-type="bibr" rid="B17">Davalos et al., 2005</xref>). If signs of damage are detected, the microglia convert to an activated or reactive state and assume an amoeboid-like phenotype, characterized by shorter, thicker processes and a larger soma, with increased expression of phagocytic markers, such as CD68 (<xref ref-type="bibr" rid="B64">Nimmerjahn et al., 2005</xref>; <xref ref-type="bibr" rid="B67">Olah et al., 2011</xref>; <xref ref-type="bibr" rid="B89">Tejera and Heneka, 2016</xref>; <xref ref-type="bibr" rid="B4">Angelova and Brown, 2019</xref>). Many neurodegenerative diseases, such as Parkinson&#x2019;s disease and Alzheimer&#x2019;s disease, are associated with abnormal functional phenotypes of microglia (<xref ref-type="bibr" rid="B78">Sarlus and Heneka, 2017</xref>; <xref ref-type="bibr" rid="B83">Subramaniam and Federoff, 2017</xref>; <xref ref-type="bibr" rid="B5">Baik et al., 2019</xref>).</p>
<p>In our previous studies (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), a single noise (identical to the present noise setting) was used to create permanent HL in CBA mice, a mouse strain that has been demonstrated to maintain good hearing threshold sensitivity well into old age (<xref ref-type="bibr" rid="B81">Spongr et al., 1997</xref>; <xref ref-type="bibr" rid="B46">Kujawa and Liberman, 2006</xref>). Cognitive function was evaluated by the Morris water maze (MWM) task at 3 months post exposure (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>), and hippocampal neurogenesis and microglial status were monitored for up to 12 months following NE by quantitative immunohistochemical analysis of Ki67 (a proliferating cell marker), doublecortin (DCX; an immature progenitor cell marker), Iba1 (a microglia marker), and CD68 (a lysosomal marker indicative of phagocytic activity of microglia) (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>; <xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>). We observed that CBA mice with NIHL exhibited prolonged significant cognitive impairment accompanied by marked hippocampal neurogenesis decline (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>). Our observations not only provide compelling evidence for the causal role of HL in the development of cognitive impairment (<xref ref-type="bibr" rid="B52">Liu et al., 2016a</xref>,<xref ref-type="bibr" rid="B54">2018</xref>) but also suggest that the accelerated age-related hippocampal neurogenesis decline and persistent microglial dysfunction may contribute to the cognitive deficiency that occurs in animals with NIHL (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>). However, the exact mechanisms leading to alterations in hippocampal neurogenesis and microglial status in NIHL mice remain largely mysterious.</p>
<p>Microglia are versatile modulators of neurogenesis, and their influence is dependent on their activation status. Recent findings in human and animal studies indicated that microglial activation inversely correlates with hippocampal volume in neurodegenerative diseases with dementia, providing compelling evidence for the central role of microglial activation in neurodegenerative diseases (<xref ref-type="bibr" rid="B22">Femminella et al., 2016</xref>; <xref ref-type="bibr" rid="B75">Salter and Stevens, 2017</xref>; <xref ref-type="bibr" rid="B85">Suss and Schlachetzki, 2020</xref>). Consistent with our previous observation in CBA mice (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), C57BL/6J mice subjected to brief NE at high intensity developed permanent hearing loss and exhibited decreased hippocampal neurogenesis and aberrant microglial activation at 28DPN, thus providing further support for the assumption that hippocampal microglial dysfunction might contribute to acquired hearing loss-related hippocampal neurogenesis (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>).</p>
<p>The brain is a finely tuned machine that has a fascinating capacity to continually undergo structural and functional changes in response to environmental inputs and organism needs; that is, it exhibits neural plasticity (<xref ref-type="bibr" rid="B40">Kleim and Jones, 2008</xref>; <xref ref-type="bibr" rid="B74">Sale et al., 2014</xref>). Neural circuits that are frequently used have strong connections, while those not actively engaged in task performance for an extended period of time begin to degrade, i.e., they present a &#x201C;use-it-or-lose-it&#x201D; characteristic (<xref ref-type="bibr" rid="B40">Kleim and Jones, 2008</xref>). Microglia play a fundamental role in activity-dependent neuroplasticity. It is well established that microglia can quickly adapt to their environment and modify their functions with a broad spectrum of activation states (<xref ref-type="bibr" rid="B50">Li and Barres, 2018</xref>). For instance, these cells can respond to light deprivation and reexposure by changing their morphology and modulating their interactions with neuronal circuits, notably regulating processes that include adult hippocampal neurogenesis and actively contributing to the experience-dependent modification or elimination of a specific subset of synapses in the brain (<xref ref-type="bibr" rid="B93">Tremblay et al., 2010</xref>).</p>
<p>In line with previous reports on long-term microglial activation in the cochlear nucleus following inner ear damage that reduced neural output from the cochlea (<xref ref-type="bibr" rid="B11">Campos Torres et al., 1999</xref>; <xref ref-type="bibr" rid="B6">Baizer et al., 2015</xref>), the present study demonstrated microglial activation in the auditory ROIs of NIHL mice at 28 days after the cessation of NE. Considering the &#x201C;use-it-or-lose-it&#x201D; principle of neuroplasticity (<xref ref-type="bibr" rid="B86">Syka, 2002</xref>; <xref ref-type="bibr" rid="B40">Kleim and Jones, 2008</xref>) and the microglial contribution to neuroplasticity (<xref ref-type="bibr" rid="B100">Wake et al., 2013</xref>; <xref ref-type="bibr" rid="B97">Valero et al., 2016</xref>), it is plausible to assume that microglial activation represents auditory circuit remodeling following acquired hearing loss (auditory deprivation).</p>
<p>Consistent with previously published data from laboratory experiments (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), the present study demonstrated a significant effect of NE on the functional phenotypes of microglia in the hippocampal DG and CA3 region but not in the CA1 region. The discrepancy in the outcome after NE between subregions could at least be partially explained by a report indicating that the DG-CA3 subregion is extremely sensitive to changes in information input and plays a key role in auditory information processing while the CA1 subregion is highly resistant to changes in sensory input (<xref ref-type="bibr" rid="B35">Holden et al., 2012</xref>). Mounting evidence demonstrates that microglia, the well-known key facilitators of neuronal plasticity, can sense and respond to neuronal activity in a variety of contexts (<xref ref-type="bibr" rid="B95">Umpierre and Wu, 2021</xref>). The microglial status is subtly altered by local neuronal activity (<xref ref-type="bibr" rid="B71">Ronzano et al., 2021</xref>). As the hippocampus is generally believed to be involved in auditory perception (<xref ref-type="bibr" rid="B61">Moxon et al., 1999</xref>; <xref ref-type="bibr" rid="B43">Kraus and Canlon, 2012</xref>), it is reasonable to hypothesize that abnormal local neuronal activity caused by a disturbance of auditory input is a major contributor to hippocampal microglial overactivity in mice with acquired peripheral HL.</p>
<p>Microglia are well-known major sources of proinflammatory cytokines and the principal target cells of cytokines (<xref ref-type="bibr" rid="B32">Hanisch, 2002</xref>). Chronically activated microglia secrete excessive pro-inflammatory cytokines, which can further induce microglial responses toward a dysregulated phenotype (<xref ref-type="bibr" rid="B99">Voet et al., 2019</xref>). Microglial-derived cytokine signals are assumed to propagate through the brain by volume transmission (i.e., diffuse through cerebral spinal fluid, nerve bundles, and perivascular space) and wiring (i.e., through neuronal projections and gap junctions) (<xref ref-type="bibr" rid="B98">Vitkovic et al., 2000</xref>; <xref ref-type="bibr" rid="B3">Almeida-Suhett et al., 2017</xref>). The hippocampus and the auditory regions make reciprocal connections with each other (<xref ref-type="bibr" rid="B43">Kraus and Canlon, 2012</xref>), which would enable the diffusion of cytokines produced by chronically activated microglia in the auditory region to the hippocampus through wiring and/or cerebral spinal fluid. Thus, it cannot be excluded that chronically activated microglia in the auditory region might represent one contributor to the microglial status transition in the hippocampus. However, this hypothesis remains highly speculative in the absence of convincing evidence. Hearing loss (threshold sensitivity loss) from extensive loud noise may occur immediately. The deafening effect of NE includes reversible and irreversible components. After exposure that is intense enough to produce permanent effects, hearing thresholds recover exponentially with increasing post exposure time and reach a steady state within 2&#x223C;3 weeks (<xref ref-type="bibr" rid="B46">Kujawa and Liberman, 2006</xref>). Thus, the significant threshold shift measured at 20 days post exposure represents the magnitude of permanent hearing loss induced by NE in the present study. Moreover, it undoubtedly implies an even greater continuous hearing loss across the 20 days post noise. Intriguingly, although changes in microglia similar to those observed at 28DPN were observed as early as 3DPN, almost no signs of microglial abnormalities were observed at 14DPN in ROIs except the VCN. A similar near-perfect correspondence was seen in hippocampal neurogenesis. These observations provide further evidence for the causal role of permanent HL in microglial dysfunction and hippocampal neurogenesis decline observed long after NE (<xref ref-type="bibr" rid="B104">Zhuang et al., 2020</xref>), and they suggest that factors other than HL might serve as a major contributor to the overall alterations that occurred earlier after NE.</p>
<p>Beyond the well-known direct deleterious effects on the auditory system (i.e., hearing loss), exposure to intense noise has previously been shown to acutely activate the stress response (<xref ref-type="bibr" rid="B76">Samson et al., 2007</xref>; <xref ref-type="bibr" rid="B25">Frank et al., 2015</xref>, <xref ref-type="bibr" rid="B24">2019</xref>; <xref ref-type="bibr" rid="B31">Hahad et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Hayes et al., 2019</xref>), which has increasingly been linked to both microglial activity (<xref ref-type="bibr" rid="B24">Frank et al., 2019</xref>) and adult hippocampal neurogenesis in recent years (<xref ref-type="bibr" rid="B84">Surget and Belzung, 2021</xref>). The significantly higher serum corticosterone observed in noise-exposed mice at 0 HPN (i.e., immediately after NE) compared with the control demonstrates a transient stress response induced by noise in the present study.</p>
<p>A recent study has shown that microglia express a diverse array of receptors, which also allows them to respond to stress hormones derived from peripheral and central sources (<xref ref-type="bibr" rid="B24">Frank et al., 2019</xref>). Emerging evidence indicates that the activation of microglia by stress results in profound morphological and functional changes that could disrupt neuronal function, impair neurogenesis, and alter cognitive and emotional behavior (<xref ref-type="bibr" rid="B45">Kreisel et al., 2014</xref>; <xref ref-type="bibr" rid="B19">Delpech et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Frank et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Sanguino-Gomez et al., 2021</xref>). Furthermore, studies have demonstrated that there are cortisol receptors throughout the hippocampus (<xref ref-type="bibr" rid="B42">Korz and Frey, 2003</xref>) and showed that the proliferation of granule cell precursors, and ultimately the production of new granule cells, is dependent on the levels of circulating adrenal steroids (<xref ref-type="bibr" rid="B58">McEwen, 1999</xref>). Stressful experiences, which are known to elevate circulating levels of glucocorticoids, inhibit the proliferation of granule cell precursors (<xref ref-type="bibr" rid="B87">Tanapat et al., 1998</xref>; <xref ref-type="bibr" rid="B58">McEwen, 1999</xref>; <xref ref-type="bibr" rid="B84">Surget and Belzung, 2021</xref>) and the survival of newborn neurons (<xref ref-type="bibr" rid="B90">Thomas et al., 2007</xref>). Based on these findings and our data, we speculate that the transient stress response caused by NE in our study may have been associated with mediating the functional response of microglia in each target brain region at the early stage after NE (within 1 week); however, most of the target brain regions showed no abnormal microglia phenotype at 14DPN, suggesting that the transient stress response is insufficient to explain the reappearance of microglia phenotypic abnormalities and aberrant hippocampal neurogenesis in the long term after NE (28DPN) and thus further highlights the major contribution of permanent hearing loss to the prolonged phenotype change of microglia and hippocampal neurogenesis.</p>
<p>In summary, this study observed the effects of acute high-intensity NE on the stress response, hearing threshold, hippocampal neurogenesis, and functional phenotypes of hippocampal and central auditory system microglia. Our results illustrated early but transient and late but progressive microglial activation and hippocampal neurogenesis impairment, an early but transient increase in serum corticosterone, and a permanent moderate-to-severe degree of hearing loss in noise-exposed mice. These findings indicate for the first time that both the stress response and HL are potential contributors to the time-dependent alterations of microglia and hippocampal neurogenesis, which both consist of an early but transient change and a late but enduring change following NE. The noise-induced stress response may be involved with early but transient alterations, while noise-induced permanent HL is more likely to be responsible for late but enduring changes, i.e., microglial dysfunction and hippocampal neurogenesis disturbances that are associated with many neurological diseases (including cognitive impairment and dementia). The microglial overactivation observed in the auditory ROIs may have represented neuronal circuit remodeling closely associated with the acquired peripheral hearing loss caused by high-intensity NE, although it also suggested that the acquired peripheral hearing loss disturbance of auditory input caused by NE induced hippocampal microglia dysfunction and neurogenesis decline. Therefore, we can suggest some reasonable hypotheses based on the available data. Given the pervasiveness of noise in modern life (from commercial, industrial and recreational sources, etc.) and the insidious and progressive nature of neurodegenerative disorders, our observations further highlight that raising awareness of the adverse health impact of noise represents a promising and cost-effective strategy to prevent or delay the onset of dementia.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the University Committee for Laboratory Animals of Southeast University, China.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>LL and GT designed the experiment and supervised the project. CY, DX, RL, CF, and YW managed the mouse cohorts. HL, SS, SZ, and QL conducted the noise exposure and ABR measurements. QL, XY, and CW conducted the sample preparation for the histological study and ELISA. QL, HL, and XY performed the histological procedures and data collection. HZ, HL, and CW conducted the data analysis. QL, HZ, YX, and LL were involved in the data interpretation. QL and LL contributed to the manuscript writing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (81970893, 81670935, 82171541, and 81520108015).</p>
</sec>
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