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Yi X, Guo L, Zeng Q, Huang S, Wen D, Wang C, Kou Y, Zhang M, Li H, Wen L, Chen G. Magnetic/Acoustic Dual-Controlled Microrobot Overcoming Oto-Biological Barrier for On-Demand Multidrug Delivery against Hearing Loss. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2401369. [PMID: 39016116 DOI: 10.1002/smll.202401369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/28/2024] [Indexed: 07/18/2024]
Abstract
Multidrug combination therapy in the inner ear faces diverse challenges due to the distinct physicochemical properties of drugs and the difficulties of overcoming the oto-biologic barrier. Although nanomedicine platforms offer potential solutions to multidrug delivery, the access of drugs to the inner ear remains limited. Micro/nanomachines, capable of delivering cargo actively, are promising tools for overcoming bio-barriers. Herein, a novel microrobot-based strategy to penetrate the round window membrane (RWM) is presented and multidrug in on-demand manner is delivered. The tube-type microrobot (TTMR) is constructed using the template-assisted layer-by-layer (LbL) assembly of chitosan/ferroferric oxide/silicon dioxide (CS/Fe3O4/SiO2) and loaded with anti-ototoxic drugs (curcumin, CUR and tanshinone IIA, TSA) and perfluorohexane (PFH). Fe3O4 provides magnetic actuation, while PFH ensures acoustic propulsion. Upon ultrasound stimulation, the vaporization of PFH enables a microshotgun-like behavior, propelling the drugs through barriers and driving them into the inner ear. Notably, the proportion of drugs entering the inner ear can be precisely controlled by varying the feeding ratios. Furthermore, in vivo studies demonstrate that the drug-loaded microrobot exhibits superior protective effects and excellent biosafety toward cisplatin (CDDP)-induced hearing loss. Overall, the microrobot-based strategy provides a promising direction for on-demand multidrug delivery for ear diseases.
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Affiliation(s)
- Xinyang Yi
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Lifang Guo
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Qi Zeng
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Suling Huang
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Dingsheng Wen
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Chu Wang
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Yuwei Kou
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Ming Zhang
- Guangdong Sunho Pharmaceutical Co. Ltd, Zhongshan, 528437, P. R. China
| | - Huaan Li
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Lu Wen
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Gang Chen
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery & Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Center for Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
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Avierinos RJ, Beukes E, Manchaiah V, Oosthuizen I, le Roux T, Swanepoel DW. Meaningful life changes following hearing aid use: a qualitative user perspective. Int J Audiol 2024:1-10. [PMID: 39002139 DOI: 10.1080/14992027.2024.2376043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/29/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE This study aimed to explore meaningful life changes due to hearing aid use in adult users. DESIGN A cross-sectional survey design was used with open-ended questions analysed using inductive qualitative content analysis. STUDY SAMPLE US-based adult hearing aid users (n = 653) from the Hearing Tracker website community and Lexie Hearing database. RESULTS Participants had a mean age of 65.4 years (13.6 SD), including 61.2% males, 38.3% females (0.5% other). Analysis of 2122 meaning units from responses identified two broad domains: 'meaningful benefits' (n = 1709; 80.5%) and 'remaining difficulties' (n = 413; 19.5%). The meaningful benefits domain included five categories (27 sub-categories): (a) psychosocial benefits, (b) improvements in hearing, (c) personal benefits, (d) hearing aid features and connectivity, and (e) situational benefits. Participants reported enhanced relationships and improved occupational functioning as key benefits. The remaining difficulties domain contained four categories (25 sub-categories): (a) hearing aid limitations, (b) hearing and communication issues, (c) situational difficulties, and (d) personal issues. Notable difficulties included hearing aid design issues and challenges in noisy environments. CONCLUSION Hearing aid users reported diverse benefits and persistent challenges related to device use, illustrating the complexity of their lived experiences. These findings can inform empathetic, effective rehabilitation strategies and user-centric hearing aid technologies.
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Affiliation(s)
- Ruth Jayné Avierinos
- Department of Speech-language Pathology and Audiology, University of Pretoria, Pretoria, South Africa
- Virtual Hearing Lab, Collaborative initiative between University of Colorado School of Medicine, Aurora, CO, USA, Cambridge, UK
| | - Eldre Beukes
- Virtual Hearing Lab, Collaborative initiative between University of Colorado School of Medicine, Aurora, CO, USA, Cambridge, UK
- Vision and Hearing Sciences Research Group, Anglia Ruskin University, Cambridge, UK
| | - Vinaya Manchaiah
- Department of Speech-language Pathology and Audiology, University of Pretoria, Pretoria, South Africa
- Virtual Hearing Lab, Collaborative initiative between University of Colorado School of Medicine, Aurora, CO, USA, Cambridge, UK
- Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, CO, USA
- UCHealth Hearing and Balance, University of Colorado Hospital, Aurora, CO, USA
- Department of Speech and Hearing, School of Allied Health Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Ilze Oosthuizen
- Department of Speech-language Pathology and Audiology, University of Pretoria, Pretoria, South Africa
- Virtual Hearing Lab, Collaborative initiative between University of Colorado School of Medicine, Aurora, CO, USA, Cambridge, UK
| | - Talita le Roux
- Department of Speech-language Pathology and Audiology, University of Pretoria, Pretoria, South Africa
| | - De Wet Swanepoel
- Department of Speech-language Pathology and Audiology, University of Pretoria, Pretoria, South Africa
- Virtual Hearing Lab, Collaborative initiative between University of Colorado School of Medicine, Aurora, CO, USA, Cambridge, UK
- Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, CO, USA
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Park JH, Sahbaz BD, Pekhale K, Chu X, Okur MN, Grati M, Isgrig K, Chien W, Chrysostomou E, Sullivan L, Croteau DL, Manor U, Bohr VA. Early-Onset Hearing Loss in Mouse Models of Alzheimer's Disease and Increased DNA Damage in the Cochlea. AGING BIOLOGY 2024; 1:20240025. [PMID: 38500536 PMCID: PMC10948084 DOI: 10.59368/agingbio.20240025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
There is considerable interest in whether sensory deficiency is associated with the development of Alzheimer's disease (AD). Notably, the relationship between hearing impairment and AD is of high relevance but still poorly understood. In this study, we found early-onset hearing loss in two AD mouse models, 3xTgAD and 3xTgAD/Polβ+/-. The 3xTgAD/Polβ+/- mouse is DNA repair deficient and has more humanized AD features than the 3xTgAD. Both AD mouse models showed increased auditory brainstem response (ABR) thresholds between 16 and 32 kHz at 4 weeks of age, much earlier than any AD cognitive and behavioral changes. The ABR thresholds were significantly higher in 3xTgAD/Polβ+/- mice than in 3xTgAD mice at 16 kHz, and distortion product otoacoustic emission signals were reduced, indicating that DNA damage may be a factor underlying early hearing impairment in AD. Poly ADP-ribosylation and protein expression levels of DNA damage markers increased significantly in the cochlea of the AD mice but not in the adjacent auditory cortex. Phosphoglycerate mutase 2 levels and the number of synaptic ribbons in the presynaptic zones of inner hair cells were decreased in the cochlea of the AD mice. Furthermore, the activity of sirtuin 3 was downregulated in the cochlea of these mice, indicative of impaired mitochondrial function. Taken together, these findings provide new insights into potential mechanisms for hearing dysfunction in AD and suggest that DNA damage in the cochlea might contribute to the development of early hearing loss in AD.
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Affiliation(s)
- Jae-Hyeon Park
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Burcin Duan Sahbaz
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Komal Pekhale
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Xixia Chu
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Mustafa N. Okur
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Mhamed Grati
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, USA
| | - Kevin Isgrig
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, USA
| | - Wade Chien
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, USA
- Department of Otolaryngology-Head & Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Elena Chrysostomou
- Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Lauren Sullivan
- Department of Cell & Developmental Biology School of Biological Sciences University of California, San Diego, La Jolla, CA, USA
| | - Deborah L. Croteau
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
- Computational Biology & Genomics Core, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Uri Manor
- Department of Cell & Developmental Biology School of Biological Sciences University of California, San Diego, La Jolla, CA, USA
| | - Vilhelm A. Bohr
- DNA repair Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
- Danish Center for Healthy Aging, University of Copenhagen, Copenhagen N, Denmark
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Wei G, Tian X, Yang H, Luo Y, Liu G, Sun S, Wang X, Wen H. Adjunct Methods for Alzheimer's Disease Detection: A Review of Auditory Evoked Potentials. J Alzheimers Dis 2024; 97:1503-1517. [PMID: 38277292 DOI: 10.3233/jad-230822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
The auditory afferent pathway as a clinical marker of Alzheimer's disease (AD) has sparked interest in investigating the relationship between age-related hearing loss (ARHL) and AD. Given the earlier onset of ARHL compared to cognitive impairment caused by AD, there is a growing emphasis on early diagnosis and intervention to postpone or prevent the progression from ARHL to AD. In this context, auditory evoked potentials (AEPs) have emerged as a widely used objective auditory electrophysiological technique for both the clinical diagnosis and animal experimentation in ARHL due to their non-invasive and repeatable nature. This review focuses on the application of AEPs in AD detection and the auditory nerve system corresponding to different latencies of AEPs. Our objective was to establish AEPs as a systematic and non-invasive adjunct method for enhancing the diagnostic accuracy of AD. The success of AEPs in the early detection and prediction of AD in research settings underscores the need for further clinical application and study.
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Affiliation(s)
- Guoliang Wei
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Xuelong Tian
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Hong Yang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Yinpei Luo
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Guisong Liu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Shuqing Sun
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Xing Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Huizhong Wen
- Department of Neurobiology, School of Basic Medicine, Chongqing Key Laboratory of Neurobiology, Army Medical University, Chongqing, China
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5
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Sherratt S. Hearing Loss and Disorders: The Repercussions of Climate Change. Am J Audiol 2023; 32:793-811. [PMID: 37812783 DOI: 10.1044/2023_aja-23-00136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/11/2023] Open
Abstract
PURPOSE Climate change is considered to be the greatest threat to human health in the 21st century, and its effects are accelerating. Extensive research has clearly demonstrated its increasing impact across the continuum of health conditions. Despite this, there has been limited attention to the ramifications of climate change on hearing loss and hearing disorders. This lack of consideration is somewhat surprising as the environment itself and its changing nature have a substantial effect on hearing. METHOD Tackling climate change could be the greatest global health opportunity of the 21st century. To address this issue, this tutorial provides a general introduction to climate change and its three major elements (pollution, infectious diseases, and extreme weather events) and their effects on health. The substantial consequences of climate change for the incidence, development, and exacerbation of hearing loss and disorders are clearly described and detailed. CONCLUSIONS The challenge of responding to this very real and escalating threat to hearing requires a combination of prevention, advocacy, and education. These three roles place audiologists in the perfect position to take action on the far-reaching effects of climate change on hearing loss and disorders. To respond to this challenge and to fulfill these roles, several strategies, ranging from the individual level to the global level, are delineated for audiologists to incorporate into their practice.
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Affiliation(s)
- Sue Sherratt
- Communication Research Australia, Newcastle, New South Wales
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Huang Y, Li Y, Pan H, Han L. Global, regional, and national burden of neurological disorders in 204 countries and territories worldwide. J Glob Health 2023; 13:04160. [PMID: 38018250 PMCID: PMC10685084 DOI: 10.7189/jogh.13.04160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023] Open
Abstract
Background We aimed to determine the incidence and disability-adjusted life-years (DALYs) of neurological disorders worldwide from 1990 to 2019. Methods We obtained age-standardised incidence and DALY rates of neurological disorders in 204 countries and territories from 1990 to 2019 from the Global Burden of Disease (GBD) database. We determined trends stratified by age, sex, region, country, and Social Development Index (SDI) and the risk factors contributing to DALYs associated with these neurological disorders. Results The largest increases in the age-standardised incidence rates of neurological disorders in 1990-2019 occurred in four regions (East Asia: estimated annual percentage change (EAPC) = 0.19, tropical Latin America: EAPC = 0.07, Southern Latin America: EAPC = 0.03, Western Europe: EAPC = 0.03) and three countries (China: EAPC = 0.20, Ecuador: EAPC = 0.13, Italy: EAPC = 0.13). We observed the largest increases in age-standardised incidence rates for Parkinson disease, idiopathic epilepsy, and bipolar disorder, and in age-standardised DALY rates for Alzheimer disease and other dementias. High-SDI regions showed the highest EAPC for age-standardised incidence rates of Parkinson disease, depression, and motor neuron disease, and age-standardised DALY rates of neurological disorders. Conclusions There is a need to control the increase in age-standardised incidence rates of neurological disorders in East Asia, tropical Latin America, Southern Latin America, and Western Europe, particularly in China, Ecuador, and Italy.
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Affiliation(s)
- Yi Huang
- Department of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yongan Li
- Department of Neurology, Suzhou Xiangcheng People's Hospital, Jiangsu, China
| | - Haiyan Pan
- The First Dongguan Affiliated Hospital,Guangdong Medical University
- School of Public Health, Guangdong Medical University, Dongguan, Guangdong, PR China
| | - Liyuan Han
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
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7
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Hong G, Fu X, Chen X, Zhang L, Han X, Ding S, Liu Z, Bi X, Li W, Chang M, Qiao R, Guo S, Tu H, Chai R. Dyslexia-Related Hearing Loss Occurs Mainly through the Abnormal Spontaneous Electrical Activity of Spiral Ganglion Neurons. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205754. [PMID: 37068190 DOI: 10.1002/advs.202205754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/25/2023] [Indexed: 06/04/2023]
Abstract
Dyslexia is a reading and spelling disorder due to neurodevelopmental abnormalities and is occasionally found to be accompanied by hearing loss, but the reason for the associated deafness remains unclear. This study finds that knockout of the dyslexia susceptibility 1 candidate 1 gene (Dyx1c1-/- ) in mice, the best gene for studying dyslexia, causes severe hearing loss, and thus it is a good model for studying the mechanism of dyslexia-related hearing loss (DRHL). This work finds that the Dyx1c1 gene is highly expressed in the mouse cochlea and that the spontaneous electrical activity of inner hair cells and type I spiral ganglion neurons is altered in the cochleae of Dyx1c1-/- mice. In addition, primary ciliary dyskinesia-related phenotypes such as situs inversus and disrupted ciliary structure are seen in Dyx1c1-/- mice. In conclusion, this study gives new insights into the mechanism of DRHL in detail and suggests that Dyx1c1 may serve as a potential target for the clinical diagnosis of DRHL.
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Affiliation(s)
- Guodong Hong
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Xiaolong Fu
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Xin Chen
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
| | - Liyan Zhang
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
| | - Xuan Han
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
| | - Shuqin Ding
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
| | - Ziyi Liu
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Xiuli Bi
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Wen Li
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Miao Chang
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Ruifeng Qiao
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Siwei Guo
- School of Life Science, Shandong University, 266237, Qingdao, China
| | - Hailong Tu
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, 250000, Jinan, China
| | - Renjie Chai
- State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, 210096, Nanjing, China
- Co-Innovation Center of Neuroregeneration, Nantong University, 226001, Nantong, China
- Department of Otolaryngology Head and Neck Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610072, Chengdu, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Science, 100101, Beijing, China
- Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, 100069, Beijing, China
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Großmann W. Listening with an Ageing Brain - a Cognitive Challenge. Laryngorhinootologie 2023; 102:S12-S34. [PMID: 37130528 PMCID: PMC10184676 DOI: 10.1055/a-1973-3038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Hearing impairment has been recently identified as a major modifiable risk factor for cognitive decline in later life and has been becoming of increasing scientific interest. Sensory and cognitive decline are connected by complex bottom-up and top-down processes, a sharp distinction between sensation, perception, and cognition is impossible. This review provides a comprehensive overview on the effects of healthy and pathological aging on auditory as well as cognitive functioning on speech perception and comprehension, as well as specific auditory deficits in the 2 most common neurodegenerative diseases in old age: Alzheimer disease and Parkinson syndrome. Hypotheses linking hearing loss to cognitive decline are discussed, and current knowledge on the effect of hearing rehabilitation on cognitive functioning is presented. This article provides an overview of the complex relationship between hearing and cognition in old age.
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Affiliation(s)
- Wilma Großmann
- Universitätsmedizin Rostock, Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde,Kopf- und Halschirurgie "Otto Körner"
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9
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Paciello F, Ripoli C, Fetoni AR, Grassi C. Redox Imbalance as a Common Pathogenic Factor Linking Hearing Loss and Cognitive Decline. Antioxidants (Basel) 2023; 12:antiox12020332. [PMID: 36829891 PMCID: PMC9952092 DOI: 10.3390/antiox12020332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/23/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023] Open
Abstract
Experimental and clinical data suggest a tight link between hearing and cognitive functions under both physiological and pathological conditions. Indeed, hearing perception requires high-level cognitive processes, and its alterations have been considered a risk factor for cognitive decline. Thus, identifying common pathogenic determinants of hearing loss and neurodegenerative disease is challenging. Here, we focused on redox status imbalance as a possible common pathological mechanism linking hearing and cognitive dysfunctions. Oxidative stress plays a critical role in cochlear damage occurring during aging, as well as in that induced by exogenous factors, including noise. At the same time, increased oxidative stress in medio-temporal brain regions, including the hippocampus, is a hallmark of neurodegenerative disorders like Alzheimer's disease. As such, antioxidant therapy seems to be a promising approach to prevent and/or counteract both sensory and cognitive neurodegeneration. Here, we review experimental evidence suggesting that redox imbalance is a key pathogenetic factor underlying the association between sensorineural hearing loss and neurodegenerative diseases. A greater understanding of the pathophysiological mechanisms shared by these two diseased conditions will hopefully provide relevant information to develop innovative and effective therapeutic strategies.
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Affiliation(s)
- Fabiola Paciello
- Department of Neuroscience, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Cristian Ripoli
- Department of Neuroscience, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
- Correspondence: ; Tel.: +39-0630154966
| | - Anna Rita Fetoni
- Unit of Audiology, Department of Neuroscience, Università degli Studi di Napoli Federico II, 80138 Naples, Italy
| | - Claudio Grassi
- Department of Neuroscience, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
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10
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Aguayo GA, Zhang L, Vaillant M, Ngari M, Perquin M, Moran V, Huiart L, Krüger R, Azuaje F, Ferdynus C, Fagherazzi G. Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study. BMC Med Res Methodol 2023; 23:8. [PMID: 36631766 PMCID: PMC9832793 DOI: 10.1186/s12874-023-01837-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND In the older general population, neurodegenerative diseases (NDs) are associated with increased disability, decreased physical and cognitive function. Detecting risk factors can help implement prevention measures. Using deep neural networks (DNNs), a machine-learning algorithm could be an alternative to Cox regression in tabular datasets with many predictive features. We aimed to compare the performance of different types of DNNs with regularized Cox proportional hazards models to predict NDs in the older general population. METHODS We performed a longitudinal analysis with participants of the English Longitudinal Study of Ageing. We included men and women with no NDs at baseline, aged 60 years and older, assessed every 2 years from 2004 to 2005 (wave2) to 2016-2017 (wave 8). The features were a set of 91 epidemiological and clinical baseline variables. The outcome was new events of Parkinson's, Alzheimer or dementia. After applying multiple imputations, we trained three DNN algorithms: Feedforward, TabTransformer, and Dense Convolutional (Densenet). In addition, we trained two algorithms based on Cox models: Elastic Net regularization (CoxEn) and selected features (CoxSf). RESULTS 5433 participants were included in wave 2. During follow-up, 12.7% participants developed NDs. Although the five models predicted NDs events, the discriminative ability was superior using TabTransformer (Uno's C-statistic (coefficient (95% confidence intervals)) 0.757 (0.702, 0.805). TabTransformer showed superior time-dependent balanced accuracy (0.834 (0.779, 0.889)) and specificity (0.855 (0.0.773, 0.909)) than the other models. With the CoxSf (hazard ratio (95% confidence intervals)), age (10.0 (6.9, 14.7)), poor hearing (1.3 (1.1, 1.5)) and weight loss 1.3 (1.1, 1.6)) were associated with a higher DNN risk. In contrast, executive function (0.3 (0.2, 0.6)), memory (0, 0, 0.1)), increased gait speed (0.2, (0.1, 0.4)), vigorous physical activity (0.7, 0.6, 0.9)) and higher BMI (0.4 (0.2, 0.8)) were associated with a lower DNN risk. CONCLUSION TabTransformer is promising for prediction of NDs with heterogeneous tabular datasets with numerous features. Moreover, it can handle censored data. However, Cox models perform well and are easier to interpret than DNNs. Therefore, they are still a good choice for NDs.
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Affiliation(s)
- Gloria A. Aguayo
- grid.451012.30000 0004 0621 531XDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Lu Zhang
- grid.451012.30000 0004 0621 531XBioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Michel Vaillant
- grid.451012.30000 0004 0621 531XCompetence Center for Methodology and Statistics, Translational Medicine Operations Hub, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Moses Ngari
- grid.451012.30000 0004 0621 531XCompetence Center for Methodology and Statistics, Translational Medicine Operations Hub, Luxembourg Institute of Health, Strassen, Luxembourg ,grid.33058.3d0000 0001 0155 5938KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | - Magali Perquin
- grid.451012.30000 0004 0621 531XDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Valerie Moran
- grid.451012.30000 0004 0621 531XDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg ,grid.432900.c0000 0001 2215 8798Living Conditions Department, Luxembourg Institute of Socio-Economic Research, Esch-Sur-Alzette, Luxembourg
| | - Laetitia Huiart
- grid.451012.30000 0004 0621 531XDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Rejko Krüger
- grid.16008.3f0000 0001 2295 9843LCSB, Luxembourg Centre for System Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg ,grid.418041.80000 0004 0578 0421Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg ,grid.451012.30000 0004 0621 531XTransversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Francisco Azuaje
- grid.451012.30000 0004 0621 531XBioinformatics Platform, Luxembourg Institute of Health, Strassen, Luxembourg ,grid.498322.6Genomics England, London, UK
| | - Cyril Ferdynus
- Methodological Support Unit, Félix Guyon University Hospital Center, Saint-Denis, La Réunion France
| | - Guy Fagherazzi
- grid.451012.30000 0004 0621 531XDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
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Kang B, Lu X, Xiong J, Li Y, Zhu J, Cai T. Identification of four novel variants in the CDH23 gene from four affected families with hearing loss. Front Genet 2022; 13:1027396. [DOI: 10.3389/fgene.2022.1027396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/04/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Hearing loss (HL) is the most common form of sensory disorder in humans. Molecular diagnosis of HL is important for genetic counseling for the affected individuals and their families.Methods: To identify potential genetic causes, we performed whole-exome sequencing and related biomedical informatics for 351 non-syndromic HL patients and their family members.Results: In the present study, we report the identification of four compound heterozygous variants in the CDH23 gene from four affected families, including four novel variants (c.995C>A, p.T332K; c.2159G>A, p.R720Q; c.5534A>G, p.N1845S, and c.7055-1G>C) and two frequently reported variants (c.719C>T, p.P240L and c.4762C>T, p.R1588W).Conclusion: Our findings significantly expanded the mutation spectrum of CDH23-associated autosomal recessive hearing loss.
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