Effects of noise-induced hearing loss on parvalbumin and perineuronal net expression in the mouse primary auditory cortex
Abstract
Noise induced hearing loss is associated with increased excitability in the central auditory system but the cellular correlates of such changes remain to be characterized. Here we tested the hypothesis that noise-induced hearing loss causes deterioration of perineuronal nets (PNNs) in the auditory cortex of mice. PNNs are specialized extracellular matrix components that commonly enwrap cortical parvalbumin (PV) containing GABAergic interneurons. Compared to somatosensory and visual cortex, relatively less is known about PV/PNN expression patterns in the primary auditory cortex (A1). Whether changes to cortical PNNs follow acoustic trauma remains unclear. The first aim of this study was to characterize PV/PNN expression in A1 of adult mice. PNNs increase excitability of PV+ inhibitory neurons and confer protection to these neurons against oxidative stress. Decreased PV/PNN expression may therefore lead to a reduction in cortical inhibition. The second aim of this study was to examine PV/PNN expression in superficial (I-IV) and deep cortical layers (V-VI) following noise trauma. Exposing mice to loud noise caused an increase in hearing threshold that lasted at least 30 days. PV and PNN expression in A1 was analyzed at 1, 10 and 30 days following the exposure. No significant changes were observed in the density of PV+, PNN+, or PV/PNN co-localized cells following hearing loss. However, a significant layer- and cell type-specific decrease in PNN intensity was seen following hearing loss. Some changes were present even at 1 day following noise exposure. Attenuation of PNN may contribute to changes in excitability in cortex following noise trauma. The regulation of PNN may open up a temporal window for altered excitability in the adult brain that is then stabilized at a new and potentially pathological level such as in tinnitus.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
PNN intensity is reduced in layers 1-4 of auditory cortex of adult CBA mice 1, 10, and 30 days post-noise exposure.
“PNN intensity is reduced in layers 1–4 of auditory cortex of adult CBA mice 1, 10, and 30 days post-noise exposure.”
From The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders (2018) · cites this paper as Nguyen et al., 2017
In layers 5-6, PNN intensity decreases 10 days post-noise exposure.
“In layers 5–6, PNN intensity decreases 10 days post-noise exposure (Nguyen et al., 2017).”
From The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders (2018) · cites this paper as Nguyen et al., 2017
Cites
Reactivation of Ocular Dominance Plasticity in the Adult Visual Cortex
Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J. W., & Maffei, L. (2002) · Science · doi:10.1126/science.1072699 · Cited by 1,679 · see citing works
Perineuronal nets protect fast-spiking interneurons against oxidative stress
Cabungcal, J.-H., Steullet, P., Morishita, H., Kraftsik, R., Cuenod, M., Hensch, T. K., & Do, K. Q. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300454110 · Cited by 512 · see citing works
Dityatev, A., Brückner, G., Dityateva, G., Grosche, J., Kleene, R., & Schachner, M. (2007) · Developmental Neurobiology · doi:10.1002/dneu.20361 · Cited by 365 · see citing works
Sensory Deprivation Alters Aggrecan and Perineuronal Net Expression in the Mouse Barrel Cortex
McRae, P. A., Rocco, M. M., Kelly, G., Brumberg, J. C., & Matthews, R. T. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5425-06.2007 · Cited by 272 · see citing works
Enwright, J. F., Sanapala, S., Foglio, A., Berry, R., Fish, K. N., & Lewis, D. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.24 · Cited by 223 · see citing works
Perineuronal Nets Enhance the Excitability of Fast-Spiking Neurons
Balmer, T. S. (2016) · eneuro · doi:10.1523/eneuro.0112-16.2016 · Cited by 220 · see citing works
Modulation of Perineuronal Nets and Parvalbumin with Developmental Song Learning
Balmer, T. S., Carels, V. M., Frisch, J. L., & Nick, T. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2974-09.2009 · Cited by 181 · see citing works
Happel, M. F. K., Niekisch, H., Castiblanco Rivera, L. L., Ohl, F. W., Deliano, M., & Frischknecht, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310272111 · Cited by 176 · see citing works
Brückner, G., Seeger, G., Brauer, K., Härtig, W., Kacza, J., & Bigl, V. (1994) · Brain Research · doi:10.1016/s0006-8993(09)90012-9 · Cited by 132 · see citing works
Perineuronal nets of extracellular matrix around parvalbumin‐containing neurons of the hippocampus
Celio, M. R. (1993) · Hippocampus · doi:10.1002/hipo.1993.4500030709 · Cited by 89 · see citing works
Persistent decrease in multiple components of the perineuronal net following status epilepticus
McRae, P. A., Baranov, E., Rogers, S. L., & Porter, B. E. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08268.x · Cited by 85 · see citing works
Anderson, L. A., Christianson, G. B., & Linden, J. F. (2009) · Brain Research · doi:10.1016/j.brainres.2008.11.037 · Cited by 71 · see citing works
Nakamura, M., Nakano, K., Morita, S., Nakashima, T., Oohira, A., & Miyata, S. (2009) · Brain Research · doi:10.1016/j.brainres.2008.11.022 · Cited by 54 · see citing works
Subpopulations of neurons expressing parvalbumin in the human amygdala
Pantazopoulos, H., Lange, N., Hassinger, L., & Berretta, S. (2006) · Journal of Comparative Neurology · doi:10.1002/cne.20961 · Cited by 45 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders
Wen, T. H., Binder, D. K., Ethell, I. M., & Razak, K. A. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00270 · Cited by 170 · see citing works
Self-citation
- Authors
- Nguyen, A., Khaleel, H. M., & Razak, K. A.
- Affiliations
- University of California, Riverside (US)
- Corresponding author
- Razak, Khaleel A.
- ORCID
- Razak, Khaleel A.
- Venue
- Hearing Research
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 350
- Pages
- 82-90
- ISSN
- 0378-5955 (ISSN-L)
- OpenAlex
- W2609322989
- Cited by
- 36
- References
- 14
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 6 · 2020: 8 · 2019: 2 · 2018: 3
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Hearing Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- UC, Riverside Academic Senate research
- Topics
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Health Sciences › Health Professions › Speech and Hearing › Noise Effects and Management
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- noise-induced hearing loss, perineuronal nets, parvalbumin, primary auditory cortex, GABAergic interneurons, cortical inhibition, acoustic trauma, cortical excitability, extracellular matrix, cortical layers, tinnitus, oxidative stress
- MeSH terms
- Acoustic Stimulation, Animals, Auditory Cortex, Auditory Fatigue, Disease Models, Animal, Female, Hearing, Hearing Loss, Noise-Induced, Interneurons, Mice, Inbred CBA, Nerve Degeneration, Neural Inhibition, Parvalbumins, Time Factors, Evoked Potentials, Auditory, Brain Stem, GABAergic Neurons
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review