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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Guo, X., Dong, Z., Li, Q., Wan, D., Zhong, J., Dongzhi, D., & Huang, M. (2022) · Phytomedicine · doi:10.1016/j.phymed.2022.154270 · Cited by 27
ALNasser, M. N., Mellor, I. R., & Carter, W. G. (2022) · Molecules · doi:10.3390/molecules27154891 · Cited by 26
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Lin, L., Li, C., Li, T., Zheng, J., Shu, Y., Zhang, J., Shen, Y., & Ren, D. (2023) · Food Frontiers · doi:10.1002/fft2.210 · Cited by 28
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Shin, S. K., Yoo, J.-M., Li, F. Y., Baek, S. Y., & Kim, M. R. (2019) · Nutritional Neuroscience · doi:10.1080/1028415x.2019.1696613 · Cited by 26
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Cuadrado, A., Cazalla, E., Bach, A., Bathish, B., Naidu, S. D., DeNicola, G. M., Dinkova-Kostova, A. T., Fernández-Ginés, R., Grochot-Przeczek, A., Hayes, J. D., et al. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103569 · Cited by 28
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Cheng, J., He, Z., Chen, Q., Jiang, L., Peng, Y., Zhang, J., Yan, X., Yan, J., & Niu, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16407 · Cited by 26
Kamrani-Sharif, R., Hayes, A. W., Gholami, M., Salehirad, M., Khani, M. A., Motaghinejad, M., & Emanuele, E. (2023) · Neuropeptides · doi:10.1016/j.npep.2023.102352 · Cited by 27
Müller, L., & Benedetto, S. D. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1393324 · Cited by 25
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Self-citationKour, N., Gupta, S., & Arora, S. (2022) · Expert Systems · doi:10.1111/exsy.12955 · Cited by 25
Gallego, I., Villate-Beitia, I., del Burgo, L. S., Puras, G., & Pedraz, J. L. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.121.000418 · Cited by 26
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Vasilopoulou, F., Bellver‐Sanchís, A., Companys‐Alemany, J., Jarné‐Ferrer, J., Irisarri, A., Palomera‐Ávalos, V., González-Castillo, C., Ortuño‐Sahagún, D., Sanfeliu, C., Pallàs, M., et al. (2022) · Cells · doi:10.3390/cells11162603 · Cited by 25
Lehrer, S. P., & Rheinstein, P. H. (2022) · PubMed · Cited by 25
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Tye, C. B., Gardner, P. A., Dion, G. R., Simpson, C. B., & Dominguez, L. M. (2020) · The Laryngoscope · doi:10.1002/lary.28791 · Cited by 24
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Wang, Z.-T., Zhang, C. M., Wang, Y., Dong, Q., Tan, L., & Yu, J. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101114 · Cited by 24
Ma, Y., Wu, J., Xu, W., Shen, X., Wang, H.-F., Hou, X., Cao, X., Bi, Y., Dong, Q., Feng, L., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200410 · Cited by 24
Ortiz, C. J. C., Damásio, C. M., Pruccoli, L., Nadur, N. F., de Azevedo, L. L., Guedes, I. A., Dardenne, L. E., Kümmerle, A. E., Tarozzi, A., & Viegas, C. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03148-2 · Cited by 24
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Onisiforou, A., & Spyrou, G. M. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab141 · Cited by 23
“For example, advanced age is considered as a major environmental risk factor in most NDs [53], and it can possibly act as a cofactor in the microbial-mediated pathogenesis of NDs.”
BackgroundConsorti, A., Marco, I. D., & Sansevero, G. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.710303 · Cited by 27
Yoong, S. Q., Lu, J., Xing, H., Gyanwali, B., Tan, Y., & Wu, X. V. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101491 · Cited by 23
Gramuntell, Y., Klimczak, P., Coviello, S., Pérez-Rando, M., & Nácher, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.782737 · Cited by 22
Uthaiah, C. A., Beeraka, N. M., Rajalakshmi, R., M., R. C., & Madhunapantula, S. V. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02837-z · Cited by 24
Tessarolo, F., Petsani, D., Conotter, V., Nollo, G., Conti, G., Nikolaidou, M., Onorati, G., Bamidis, P. D., & Konstantinidis, E. I. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03649-0 · Cited by 23
Proteostasis and Ribostasis Impairment as Common Cell Death Mechanisms in Neurodegenerative Diseases
Lim, S. M., Nahm, M., & Kim, S. H. (2023) · Journal of Clinical Neurology · doi:10.3988/jcn.2022.0379 · Cited by 24
Patel, C. A., Pande, S. V., Sagathia, V., Ranch, K. M., Beladiya, J., Boddu, S. H. S., Jacob, S., Al-Tabakha, M. M., Hassan, N. A. G. M., & Shahwan, M. J. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15030837 · Cited by 23
Thornton, T., Mills, D. E., & Bliss, E. (2023) · Nutrients · doi:10.3390/nu15061537 · Cited by 26
Sánchez‐García, S., Moreno-Tamayo, K. M., Ramírez‐Aldana, R., García‐Peña, C., Medina-Campos, R. H., Torre, P. G. D., & Rivero-Segura, N. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087387 · Cited by 26
Goffredo, M., Pagliari, C., Turolla, A., Tassorelli, C., Tella, S. D., Federico, S., Pournajaf, S., Jonsdottir, J., Icco, R. D., Pellicciari, L., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093178 · Cited by 26
Vints, W. A. J., Gökçe, E., Langeard, A., Павлова, Ю., Çevik, Ö. S., Ziaaldini, M. M., Todri, J., Lena, O., Sakkas, G. K., Jak, S., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1213057 · Cited by 29
Tamnanloo, F., Ochoa‐Sanchez, R., Oliveira, M. M., Lima, C., Lépine, M., Dubois, K., Bosoi, C. R., Tremblay, M., Sleno, L., & Rose, C. F. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100904 · Cited by 23
Zilinskaite, N., Shukla, R. P., & Baradokė, A. (2023) · ACS Measurement Science Au · doi:10.1021/acsmeasuresciau.3c00028 · Cited by 23
Martín-Vírgala, J., Martín-Carro, B., Fernández-Villabrille, S., Ruiz-Torres, M., Gómez‐Alonso, C., Rodríguez-García, M., Martín, J. L. F., Alonso‐Montes, C., Panizo, S., Cannata-Andía, J. B., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031843 · Cited by 24
Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study
Ye, C., Li, Z., Ye, C., Li, Y., Wu, K., & Zhu, C. (2024) · Microorganisms · doi:10.3390/microorganisms12020370 · Cited by 25
Blood-brain barrier biomarkers
Zapata-Acevedo, J. F., Mantilla-Galindo, A., Vargas-Sánchez, K., & González-Reyes, R. E. (2024) · Advances in clinical chemistry · doi:10.1016/bs.acc.2024.04.004 · Cited by 23
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Thelen, M., & Brown‐Borg, H. M. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.617071 · Cited by 24
Novel Strategies for Healthy Brain Aging
Wahl, D., Cavalier, A. N., & LaRocca, T. J. (2021) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000242 · Cited by 26
Shively, C. A., Agnès Lacreuse, A., Frye, B. M., Rothwell, E. S., & Moro, M. (2021) · American Journal of Primatology · doi:10.1002/ajp.23309 · Cited by 24
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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