The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.
Ageing as a risk factor for neurodegenerative disease
Abstract
Ageing is the primary risk factor for most neurodegenerative diseases, including Alzheimer disease (AD) and Parkinson disease (PD). One in ten individuals aged ≥65 years has AD and its prevalence continues to increase with increasing age. Few or no effective treatments are available for ageing-related neurodegenerative diseases, which tend to progress in an irreversible manner and are associated with large socioeconomic and personal costs. This Review discusses the pathogenesis of AD, PD and other neurodegenerative diseases, and describes their associations with the nine biological hallmarks of ageing: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, mitochondrial dysfunction, cellular senescence, deregulated nutrient sensing, stem cell exhaustion and altered intercellular communication. The central biological mechanisms of ageing and their potential as targets of novel therapies for neurodegenerative diseases are also discussed, with potential therapies including NAD+ precursors, mitophagy inducers and inhibitors of cellular senescence.
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“The use of primary human monocytes also has several advantages: (i) their human origin enables the study of human-specific disease phenotypes and molecular mechanisms, (ii) monocytes derived from patients with AD may contain cell-intrinsic properties specific to that patient, and (iii) monocytes derived from patients with AD and age-matched controls may exhibit age-relevant phenotypes, given that”
From Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems (2025) · cites this paper as [75]
In the citing paper
“Aging, which remains the largest risk factor for LOAD, is associated with low-grade systemic inflammation (termed “inflammaging”) [20, 21].”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [21]
In the citing paper
“Age‐related alterations in the brain microenvironment gradually led to increased BBB permeability and leakiness, neuronal degeneration, production of reactive oxygen species (ROS) and inflammation. 54 , 55 , 56”
From Therapeutic Properties and Pharmacological Activities of Asiaticoside and Madecassoside: A Review (2023) · cites this paper as [54]
In the citing paper
“Aging is known to be the primary driver of many neurodegenerative diseases, including Alzheimer’s disease (AD) [53].”
From Senescence-related impairment of autophagy induces toxic intraneuronal amyloid-β accumulation in a mouse model of amyloid pathology (2023) · cites this paper as [53]
In the citing paper
“This concurrence could explain the strong link between increased age and ND [83].”
From Untangling senescent and damage‐associated microglia in the aging and diseased brain (2023) · cites this paper as [83]
In the citing paper
“Aging is the predominant risk factor for cognitive dysfunction (Kalache and Gatti, 2003; Partridge et al., 2018) and several neurodegenerative disorders, including Alzheimer's disease (AD) and Parkinson's disease (PD) (Hou et al., 2019; López-Otín et al., 2013; Niccoli et al., 2017).”
From Atlas of the aging mouse brain reveals white matter as vulnerable foci (2023) · cites this paper as Hou et al., 2019
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2 retracted
RETRACTED ARTICLE: Parkin and PINK1 mitigate STING-induced inflammation
Sliter, D. A., Martinez, J., Hao, L., Chen, X., Sun, N., Fischer, T. D., Burman, J. L., Li, Y., Zhang, Z., Narendra, D. P., et al. (2018) · Nature · doi:10.1038/s41586-018-0448-9 · Cited by 1,287
RetractedValera, E., Spencer, B. J., Fields, J. A., Trinh, I., Adame, A., Mante, M., Rockenstein, E. M., Desplats, P., & Masliah, E. (2017) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0409-1 · Cited by 49
RetractedLópez-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537
Kalia, L. V., & Lang, A. E. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61393-3 · Cited by 6,184
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
The limited in vitro lifetime of human diploid cell strains
Hayflick, L. (1965) · Experimental Cell Research · doi:10.1016/0014-4827(65)90211-9 · Cited by 5,876
Poewe, W., Seppi, K., Tanner, C. M., Halliday, G. M., Brundin, P., Volkmann, J., Schrag, A.-E., & Lang, A. E. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.13 · Cited by 5,415
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459
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de la Fuente, A. G., Pelucchi, S., Mertens, J., Luca, M. D., Mauceri, D., & Marcello, E. E. (2023) · British Journal of Pharmacology · doi:10.1111/bph.16078 · Cited by 32
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Chen, Y., Yang, C. H., Zou, M., Wang, D., Sheng, R., Zhan, M., Chen, Q., Yang, W., Liu, X., & Xu, S. (2023) · Phytotherapy Research · doi:10.1002/ptr.7767 · Cited by 29
Saikachain, N., Sungkaworn, T., Muanprasat, C., & Asavapanumas, N. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15827 · Cited by 31
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Navarro, C., Salazar, J. J., Diaz, M. P., Chacín, M., Santeliz, R., Vera, I., D’Marco, L., Parra, H., Bernal, M. C., Castro, A. V., et al. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18239 · Cited by 34
Dubnov, S., Bennett, E. R., Yayon, N., Yakov, O., Bennett, D. A., Seshadri, S. S., Mufson, E. J., Tzur, Y., Greenberg, D., Kuro‐o, M., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06407-y · Cited by 31
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Liu, X., Xue, H., Wirdefeldt, K., Song, H., Smedby, K., Fang, F., & Liu, Q. (2024) · Journal of Internal Medicine · doi:10.1111/joim.20001 · Cited by 29
Olawade, D. B., Rashad, I., Egbon, E., Teke, J., Ovsepian, S. V., & Boussios, S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26104929 · Cited by 37
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Abbad-Gomez, D., Carballo‐Casla, A., Beridze, G., López‐García, E., Rodríguez-Artalejo, F., Sala, M., Comas, M., Vetrano, D. L., & Calderón‐Larrañaga, A. (2025) · Nature Aging · doi:10.1038/s43587-025-00929-8 · Cited by 32
Roussos, A., Kitopoulou, K., Borbolis, F., Ploumi, C., Gianniou, D. D., Li, Z., He, H., Tsakiri, E. N., Madsen, H. B., Kostakis, I. K., et al. (2025) · Autophagy · doi:10.1080/15548627.2025.2561073 · Cited by 32
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Rocha, L. A., Silva, D., Barata‐Antunes, S., Cavaleiro, H., Gomes, E. D., Silva, N. A., & Salgado, A. J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909083 · Cited by 31
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Wen, W., Li, P., Liu, P., Xu, S., Wang, F., & Huang, J. H. (2021) · Current Neuropharmacology · doi:10.2174/1570159x19666210121163224 · Cited by 33
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Li, H., Wang, F., Guo, X., & Jiang, Y. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.682247 · Cited by 31
Chen, W., Xiaoxia, S., Zhan, L., Zhou, W., & Bi, T. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.767560 · Cited by 28
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Salech, F., SanMartín, C. D., Concha-Cerda, J., Romero-Hernández, E., Ponce, D. P., Liabeuf, G., Rogers, N. K., Murgas, P., Bruna, B., More, J., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23169387 · Cited by 29
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Aamodt, E. B., Alnæs, D., de Lange, A. G., Aam, S., Schellhorn, T., Saltvedt, I. T., Beyer, M. K., & Westlye, L. T. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.10.007 · Cited by 29
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Wang, Y., Hu, S., Xiao, F.-Y., Dong, Z., Ye, J., Zheng, X., Liang, Y., & Lu, J. (2022) · Molecules · doi:10.3390/molecules27248794 · Cited by 29
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Anton, P. E., Rutt, L. N., Kaufman, M. L., Busquet, N., Kovacs, E. J., & McCullough, R. L. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.12.034 · Cited by 32
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Huang, X., Zhou, Y., Guo, Y., Yan, D., Sun, P., Cao, Y., Chen, Y., & Peng, J. (2025) · Nano Letters · doi:10.1021/acs.nanolett.4c05348 · Cited by 28
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Gulej, R., Patai, R., Ungvari, A., Kállai, A., Tarantini, S., Yabluchanskiy, A., Huffman, D. M., Conboy, M. J., Conboy, I. M., Mika Kivimaki, B., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01657-y · Cited by 29
Wang, K., Liu, F., Wu, W., Hu, C., Shen, X., Wang, M., Li, G., Zeng, F., Liu, L., Wong, I. N., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-04006-w · Cited by 36
Sekiya, H., Matsubara, T., Deture, M. A., & Dickson, D. W. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00900-6 · Cited by 35
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Tadić, V., Krgović, N., & Žugić, A. (2020) · Lekovite sirovine · doi:10.5937/leksir2040066t · Cited by 28
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Rodríguez‐Fernández, B., Gispert, J. D., Guigó, R., Navarro, A., Vilor‐Tejedor, N., & Crous‐Bou, M. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.08.006 · Cited by 30
Urbano, T., Vinceti, M., Mandrioli, J., Chiari, A., Filippini, T., Bedin, R., Tondelli, M., Simonini, C., Zamboni, G., Shimizu, M., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179865 · Cited by 28
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Xiao, Z., Wu, W., Ma, X., Liang, X., Lu, J., Zheng, L., Ding, S., Lei, Q., Luo, J., Chen, K., et al. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac149 · Cited by 28
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Ghaderi, S., Mohammadi, S., Nezhad, N. J., Karami, S., & Sayehmiri, F. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1338891 · Cited by 28
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Baiardi, S., Hansson, O., Levin, J., & Parchi, P. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14039 · Cited by 27
Khan, A. F., & Iturria‐Medina, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03073-w · Cited by 31
Chen, P., Zhang, Z., Lei, J., Zhu, J., & Liu, G. (2024) · Phytotherapy Research · doi:10.1002/ptr.8343 · Cited by 29
Devarakonda, S., Basha, S., Pithakumar, A., Thoshna, L. B., Mukunda, D. C., Rodrigues, J., Ameera, K., Biswas, S., Pai, A. R., Belurkar, S., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102566 · Cited by 30
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Fu, Y., Zhang, J., Qin, R., Ren, Y., Zhou, T., Han, B., & Liu, B. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100053 · Cited by 29
Zhou, Q., Luo, J., Chai, X., Yang, J., Zhong, S., Zhang, Z., Chang, X., & Wang, H. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.114679 · Cited by 31
Pardo, A. D., Ciaglia, E., Cattaneo, M., Maciag, A. E., Montella, F., Lopardo, V., Ferrario, A., Villa, F., Madonna, M., Amico, E., et al. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-02754-w · Cited by 28
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PASYUKOVA, E. G., Symonenko, A. V., Rybina, O. Y., & Vaiserman, A. M. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101312 · Cited by 28
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Wang, Y., Zhao, J., Chen, S., Li, D., Yang, J., Zhao, X., Qin, M., Guo, M., Chen, C., He, Z., et al. (2022) · Biomolecules · doi:10.3390/biom12081070 · Cited by 37
Iba, M., McDevitt, R. A., Kim, C., Roy, R., Sarantopoulou, D., Tommer, E., Siegars, B., Sallin, M. A., Kwon, S., Sen, J. M., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00564-6 · Cited by 26
Retractedvan der Thiel, M. M., Backes, W. H., Ramakers, I. H. G. B., & Jansen, J. F. A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104999 · Cited by 30
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Zhou, C., Dong, C., Xie, Z., Hao, W., Fu, C., Sun, H., & Zhu, D. (2023) · Biology of Sex Differences · doi:10.1186/s13293-023-00491-1 · Cited by 29
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Shen, H., Xu, X., Bai, Y., Wang, X., Wu, Y., Zhong, J., Wu, Q., Luo, Y., Shang, T., Shen, R., et al. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115258 · Cited by 27
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Gouilly, D., Rafiq, M., Nogueira, L., Salabert, A., Payoux, P., Péran, P., & Pariente, J. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2022.12.006 · Cited by 31
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Gothandapani, D., & Makpol, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914667 · Cited by 27
Kumar, S., Akhila, P. V., & Suchiang, K. (2023) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2023.10.408 · Cited by 27
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Chen, L., Zhen, W., & Peng, D. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1227261 · Cited by 26
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Shaikh, M. F., Ikram, F. Z., Arulsamy, A., & Retinasamy, T. (2022) · Current Neuropharmacology · doi:10.2174/1570159x20666220114153308 · Cited by 27
Gąssowska-Dobrowolska, M., Olech-Kochańczyk, G., Culmsee, C., & Adamczyk, A. (2024) · Journal of Inflammation Research · doi:10.2147/jir.s468609 · Cited by 29
Zhao, X., Xu, X., Yan, Y., Lipnicki, D. M., Pang, T., Crawford, J. D., Cheng, C., Cheng, C.-Y., Venketasubramanian, N., Chong, E., et al. (2024) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2024.101198 · Cited by 29
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Sukhorukov, V. S., Baranich, T. I., Egorova, A. V., Akateva, A. V., Okulova, K. M., Ryabova, M. S., Skvortsova, K. A., Dmitriev, O. V., Mudzhiri, N. M., Воронков, Д. Н., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312855 · Cited by 27
Dibello, V., Solfrizzi, V., Lozupone, M., Vertucci, V., Santarcangelo, F., Pace, C., Dibello, A., Daniele, A., & Panza, F. (2025) · Age and Ageing · doi:10.1093/ageing/afaf182 · Cited by 26
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Sillapachaiyaporn, C., Rangsinth, P., Nilkhet, S., Ung, A. T., Chuchawankul, S., & Tencomnao, T. (2021) · Pharmaceuticals · doi:10.3390/ph14101001 · Cited by 26
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Metadata
- Authors
- Hou, Y., Dan, X., Babbar, M., Wei, Y., Hasselbalch, S. G., Croteau, D. L., & Bohr, V. A.
- Affiliations
- National Institute on Aging (US)
- University of Copenhagen (DK)
- Corresponding author
- Bohr, Vilhelm A.
- ORCID
- Venue
- Nature Reviews Neurology
- Published
- 2019-09-09
- Volume
- 15
- Issue
- 10
- Pages
- 565-581
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- OpenAlex
- W2972368830
- Semantic Scholar
- 4f2aec225c7ce5314a73bd30acc5348f6086766b
- Cited by
- 3,310
- References
- 209
- Citations by year
- 2026: 441 · 2025: 639 · 2024: 675 · 2023: 534 · 2022: 474 · 2021: 359 · 2020: 178 · 2019: 8
- FWCI
- 22.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- National Institute on Aging
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- aging, neurodegenerative diseases, Alzheimer's disease, Parkinson's disease, genomic instability, telomere shortening, epigenetic modifications, proteostasis, mitochondrial dysfunction, cellular senescence, nutrient sensing, stem cell exhaustion, intercellular communication, NAD+ precursors, mitophagy, senolytics, therapeutic target
- MeSH terms
- Aging, Brain, DNA Damage, Humans, Risk Factors, Neurodegenerative Diseases, Epigenesis, Genetic, Mitophagy
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