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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“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
Citations
Cites
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
Cited by
Sorted by citations
Items 101–200 of 1,007
Inflammation: A New Look at an Old Problem
Gusev, E., & Zhuravleva, Y. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094596 · Cited by 151
Redox dysregulation as a driver for DNA damage and its relationship to neurodegenerative diseases
Shadfar, S., Parakh, S., Jamali, M. S., & Atkin, J. D. (2023) · Translational Neurodegeneration · doi:10.1186/s40035-023-00350-4 · Cited by 148
Shoaib, S., Ansari, M. A., Fatease, A. M. A., Safhi, A. Y., Hani, U., Jahan, R., Alomary, M. N., Ansari, M. N., Ahmed, N., Wahab, S., et al. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15030749 · Cited by 129
Moguilner, S., Baez, S., Hernandez, H., Migeot, J., Legaz, A., Gonzalez-Gomez, R., Farina, F. R., Prado, P., Cuadros, J., Tagliazucchi, E., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03209-x · Cited by 128
The neurovascular unit and systemic biology in stroke — implications for translation and treatment
Tiedt, S., Buchan, A. M., Dichgans, M., Lizasoaín, I., Moro, M. Á., & Lo, E. H. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00703-z · Cited by 135
The gasdermin family: emerging therapeutic targets in diseases
Zhu, C., Xu, S., Jiang, R., Yu, Y., Bian, J., & Zou, Z. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01801-8 · Cited by 149
Zhao, L., Li, Z., Vong, J. S. L., Chen, X., Lai, H. M., Yan, L. Y. C., Huang, J., Sy, S. K. H., Tian, X. Y., Huang, Y., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18249-3 · Cited by 125
The bile acid TUDCA and neurodegenerative disorders: An overview
Zangerolamo, L., Vettorazzi, J. F., Rosa, L. R. D. O., Carneiro, E. M., & Barbosa, H. C. L. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119252 · Cited by 128
The role of amyloid oligomers in neurodegenerative pathologies
Wells, C., Brennan, S. E., Keon, M., & Ooi, L. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.03.113 · Cited by 131
Ryu, W., Bormann, M. K., Shen, M., Kim, D., Forester, B. P., Park, Y., So, J., Seo, H., Sonntag, K., & Cohen, B. M. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01068-3 · Cited by 126
Jiang, S.-Y., Tian, T., Yao, H., Xia, X.-M., Wang, C., Cao, L., Hu, G., Du, R.-H., & Lu, M. (2023) · Cell Death & Differentiation · doi:10.1038/s41418-023-01216-y · Cited by 123
Transposable Elements: A Common Feature of Neurodevelopmental and Neurodegenerative Disorders
Jönsson, M. E., Garza, R., Johansson, P. A., & Jakobsson, J. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.05.004 · Cited by 122
Marzia Perluigi, A., Domenico, F. D., Barone, E., & Butterfield, D. A. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.04.025 · Cited by 126
Kobro-Flatmoen, A., Lagartos-Donate, M. J., Aman, Y., Edison, P., Witter, M. P., & Fang, E. F. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101307 · Cited by 119
Targeting the “hallmarks of aging” to slow aging and treat age-related disease: fact or fiction?
Keshavarz, M., Xie, K., Schaaf, K., Bano, D., & Ehninger, D. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01680-x · Cited by 130
Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
Salman, M. M., Al-Obaidi, Z. M. J., Kitchen, P., Loreto, A., Bill, R. M., & Wade‐Martins, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094688 · Cited by 121
Transcriptome dynamics of hippocampal neurogenesis in macaques across the lifespan and aged humans
Wang, W., Wang, M., Yang, M., Zeng, B., Qiu, W., Ma, Q., Jing, X., Zhang, Q., Wang, B., Yin, C., et al. (2022) · Cell Research · doi:10.1038/s41422-022-00678-y · Cited by 125
SIRT1 and SIRT6: The role in aging-related diseases
You, Y., & Liang, W. (2023) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2023.166815 · Cited by 124
Gaikwad, S., Senapati, S., Haque, M. A., & Kayed, R. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13490 · Cited by 117
Exploring ER stress response in cellular aging and neuroinflammation in Alzheimer's disease
Uddin, M. S., Yu, W. S., & Lim, L. W. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101417 · Cited by 123
The role of cellular senescence in neurodegenerative diseases
Wang, Y., Kuča, K., Li, Y., Nepovimová, E., Heger, Z., Valko, M., Adam, V., Wu, Q., & Jomová, K. (2024) · Archives of Toxicology · doi:10.1007/s00204-024-03768-5 · Cited by 119
Single-nucleus transcriptomic landscape of primate hippocampal aging
Zhang, H., Li, J., Ren, J., Sun, S., Ma, S., Zhang, W., Yu, Y., Cai, Y., Yan, K., Li, W., et al. (2021) · Protein & Cell · doi:10.1007/s13238-021-00852-9 · Cited by 122
Pun, F. W., Liu, B. H. M., Long, X., Leung, H. W., Leung, G. H. D., Mewborne, Q. T., Gao, J., Shneyderman, A., Ozerov, I. V., Wang, J., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.914017 · Cited by 115
“It is reported that aging induces damaged protein accumulation, oxidative stress, disrupted energy homeostasis, and DNA damage, reducing the viability of the affected neurons (Hou et al., 2019).”
BackgroundRole of Oxidative Stress in Ocular Diseases: A Balancing Act
Shu, D. Y., Chaudhary, S., Cho, K., Lennikov, A., Miller, W. P., Thorn, D. C., Yang, M., & McKay, T. B. (2023) · Metabolites · doi:10.3390/metabo13020187 · Cited by 120
Consensus Paper: Cerebellum and Ageing
Arleo, A., Bareš, M., Bernard, J. A., Bogoian, H. R., Bruchhage, M. M. K., Bryant, P., Carlson, E. S., Chan, C. C. H., Chen, L., Chung, C., et al. (2023) · The Cerebellum · doi:10.1007/s12311-023-01577-7 · Cited by 129
Han, H., Zhao, Y., Du, J., Wang, S., Yang, X., Li, W., Song, J., Zhang, S., Zhang, Z., Tan, Y., et al. (2023) · Immunity & Ageing · doi:10.1186/s12979-023-00390-4 · Cited by 122
MicroRNAs: pioneering regulators in Alzheimer’s disease pathogenesis, diagnosis, and therapy
Li, Y.-B., Fu, Q., Guo, M., Du, Y., Chen, Y., & Cheng, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03075-8 · Cited by 134
Phosphorylation Signaling in APP Processing in Alzheimer’s Disease
Zhang, T., Chen, D., & Lee, T. H. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms21010209 · Cited by 114
Heremans, I. P., Caligiore, F., Gerin, I., Bury, M., Lutz, M., Graff, J., Stroobant, V., Vertommen, D., Teleman, A. A., SCHAFTINGEN, E. V., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111338119 · Cited by 114
Gonçalves, P. B., Sodero, A. C. R., & Cordeiro, Y. (2021) · Biomolecules · doi:10.3390/biom11050767 · Cited by 115
The neuroprotective potential of carotenoids in vitro and in vivo
Manochkumar, J., Doss, C. G. P., El-Seedi, H. R., Efferth, T., & Ramamoorthy, S. (2021) · Phytomedicine · doi:10.1016/j.phymed.2021.153676 · Cited by 117
Mitochondrial and Nuclear DNA Oxidative Damage in Physiological and Pathological Aging
Kowalska, M., Piekut, T., Prendecki, M., Sodel, A., Kozubski, W. P., & Dorszewska, J. (2020) · DNA and Cell Biology · doi:10.1089/dna.2019.5347 · Cited by 114
Protein misfolding and amyloid nucleation through liquid–liquid phase separation
Mukherjee, S., Poudyal, M., Dave, K., Kadu, P., & Maji, S. K. (2024) · Chemical Society Reviews · doi:10.1039/d3cs01065a · Cited by 117
Cheng, G., Liu, Y., Ma, R., Cheng, G., Guan, Y., Chen, X., Wu, Z., & Chen, T. (2022) · Nano-Micro Letters · doi:10.1007/s40820-022-00847-z · Cited by 113
Proteotoxic stress and the ubiquitin proteasome system
Kandel, R., Jung, J., & Neal, S. E. (2023) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2023.08.002 · Cited by 124
Genuine high-order interactions in brain networks and neurodegeneration
Herzog, R. A., Rosas, F. E., Whelan, R., Fittipaldi, S., Santamaría‐García, H. A., Cruzat, J., Birba, A., Moguilner, S., Tagliazucchi, E., Prado, P., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105918 · Cited by 116
Puerarin: a potential natural neuroprotective agent for neurological disorders
Liu, X., Huang, R., & Wan, J. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114581 · Cited by 111
Cannabidiol for neurodegenerative disorders: A comprehensive review
Bhunia, S., Kolishetti, N., Yndart, A., Vashist, A., & Nair, M. G. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.989717 · Cited by 121
Noncancerous disease-targeting AIEgens
Duo, Y., Luo, G., Zhang, W., Wang, R., Xiao, G. G., Li, Z., Li, X., Chen, M., Yoon, J., & Tang, B. Z. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00610c · Cited by 106
Age-related alterations in meningeal immunity drive impaired CNS lymphatic drainage
Rustenhoven, J., Pavlou, G., Storck, S. E., Dykstra, T., Du, S., Wan, Z., Quintero, D., Scallan, J. P., Smirnov, I., Kamm, R. D., et al. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20221929 · Cited by 108
Monoamine oxidases in age-associated diseases: New perspectives for old enzymes
Santin, Y., Resta, J., Parini, A., & Mialet‐Perez, J. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101256 · Cited by 110
Advances of Zebrafish in Neurodegenerative Disease: From Models to Drug Discovery
Wang, X., Zhang, J., He, K.-J., Wang, F., & Liu, C. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.713963 · Cited by 106
Physiological β-amyloid clearance by the liver and its therapeutic potential for Alzheimer’s disease
Cheng, Y., He, C.-Y., Tian, D.-Y., Chen, S.-H., Ren, J.-R., Sun, H.-L., Xu, M.-Y., Tan, C.-R., Fan, D.-Y., Jian, J.-M., et al. (2023) · Acta Neuropathologica · doi:10.1007/s00401-023-02559-z · Cited by 110
Evidence and perspectives of cell senescence in neurodegenerative diseases
Si, Z., Sun, L., & Wang, X. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111327 · Cited by 105
Evans, J. A., Mendonca, P., & Soliman, K. F. A. (2022) · Nutrients · doi:10.3390/nu14112228 · Cited by 111
Neurodegenerative disorders and gut-brain interactions
Singh, A., Dawson, T. M., & Kulkarni, S. (2021) · Journal of Clinical Investigation · doi:10.1172/jci143775 · Cited by 104
Are Kynurenines Accomplices or Principal Villains in Dementia? Maintenance of Kynurenine Metabolism
Tanaka, M., Bohár, Z., & Vécsei, L. (2020) · Molecules · doi:10.3390/molecules25030564 · Cited by 107
Giovannelli, L., Bari, E., Jommi, C., Tartara, F., Armocida, D., Garbossa, D., Cofano, F., Torre, M. L., & Segale, L. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.06.013 · Cited by 102
O’Connor, L. M., O’Connor, B. A., Lim, S. B., Zeng, J., & Lo, C. H. (2023) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2023.06.011 · Cited by 113
Ferroptosis regulation through Nrf2 and implications for neurodegenerative diseases
Xiang, Y., Song, X., & Long, D. (2024) · Archives of Toxicology · doi:10.1007/s00204-023-03660-8 · Cited by 116
Mekhora, C., Lamport, D. J., & Spencer, J. P. E. (2024) · Neurochemistry International · doi:10.1016/j.neuint.2024.105900 · Cited by 108
Sexual Dimorphism in the 3xTg-AD Mouse Model and Its Impact on Pre-Clinical Research
Dennison, J. L., Ricciardi, N. R., Lohse, I., Volmar, C., & Wahlestedt, C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201014 · Cited by 107
Chen, Y., Yan, Q., & Sun, Z. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.711710 · Cited by 101
Curcumin as Prospective Anti-Aging Natural Compound: Focus on Brain
Benameur, T., Soleti, R., Panaro, M. A., Torre, M. E. L., Monda, V., Messina, G., & Porro, C. (2021) · Molecules · doi:10.3390/molecules26164794 · Cited by 105
Berberine: A Promising Treatment for Neurodegenerative Diseases
Cheng, Z., Kang, C., Che, S., Su, J., Sun, Q., Ge, T., Guo, Y. C., Lv, J., Sun, Z., Yang, W., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.845591 · Cited by 98
Focusing on mitochondria in the brain: from biology to therapeutics
Song, N., Mei, S., Wang, X.-X., Hu, G., & Lu, M. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00409-w · Cited by 111
Toader, C., Tătaru, C. P., Munteanu, O., Șerban, M., Covache-Busuioc, R.-A., Ciurea, A. V., & Enyedi, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312613 · Cited by 112
Phenomic studies on diseases: potential and challenges
Ying, W. (2023) · Phenomics · doi:10.1007/s43657-022-00089-4 · Cited by 96
Aguado, J., Chaggar, H. K., Gómez‐Inclán, C., Shaker, M. R., Leeson, H. C., Mackay‐Sim, A., & Wolvetang, E. J. (2021) · Aging Cell · doi:10.1111/acel.13468 · Cited by 92
Gabandé‐Rodríguez, E., Heras, M. M. G. D. L., & Mittelbrunn, M. (2019) · Cells · doi:10.3390/cells9010082 · Cited by 101
Lipid Mediated Regulation of Adult Stem Cell Behavior
Clémot, M., Demarco, R. S., & Jones, D. L. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00115 · Cited by 98
Generation and Release of Mitochondrial-Derived Vesicles in Health, Aging and Disease
Picca, A., Guerra, F., Calvani, R., Coelho‐Júnior, H. J., Bossola, M., Landi, F., Bernabei, R., Bucci, C., & Marzetti, E. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051440 · Cited by 100
Sensing, signaling and surviving mitochondrial stress
Eckl, E.-M., Ziegemann, O., Krumwiede, L., Fessler, E., & Jae, L. T. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03887-7 · Cited by 93
Vieira, C. P., Rosario, I. L. D. S., Lelis, C. A., Rekowsky, B. S. D. S., de Carvalho, A. P. A., do Rosário, D. K. A., Elias, T. A., da Costa, M. P., Foguel, D., & Conte‐Júnior, C. A. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/9081738 · Cited by 96
Lasoń, W., Jantas, D., Leśkiewicz, M., Regulska, M., & Basta‐Kaim, A. (2023) · Cells · doi:10.3390/cells12040660 · Cited by 102
A neurodegenerative cellular stress response linked to dark microglia and toxic lipid secretion
Flury, A. G., Aljayousi, L., Park, H.-J., Khakpour, M., Mechler, J., Aziz, S., McGrath, J. D., Deme, P., Sandberg, C., Ibáñez, F. G., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.11.018 · Cited by 102
Terzioglu, G., & Young-Pearse, T. L. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00674-9 · Cited by 91
Sulforaphane promotes C. elegans longevity and healthspan via DAF-16/DAF-2 insulin/IGF-1 signaling
Qi, Z., Ji, H., Le, M., Li, H., Wieland, A., Bauer, S., Liu, L., Wink, M., & Herr, I. (2021) · Aging · doi:10.18632/aging.202512 · Cited by 97
The Complement System, Aging, and Aging-Related Diseases
Zheng, R., Zhang, Y., Zhang, K., Yuan, Y., Jia, S., & Liu, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158689 · Cited by 98
Axonal energy metabolism, and the effects in aging and neurodegenerative diseases
Yang, S., Park, J. H., & Lu, H.-C. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00634-3 · Cited by 94
“Aging is considered one of the biggest risk factors for dementia and sporadic late-onset neurodegenerative diseases [20].”
BackgroundThe Intestinal Barrier Dysfunction as Driving Factor of Inflammaging
Untersmayr, E., Brandt, A., Koidl, L., & Bergheim, I. (2022) · Nutrients · doi:10.3390/nu14050949 · Cited by 104
Wu, L., Xie, X., Li, Y., Liang, T., Zhong, H., Yang, L., Yu, X., Zhang, J., Ding, Y., & Wu, Q. (2022) · npj Biofilms and Microbiomes · doi:10.1038/s41522-022-00366-0 · Cited by 102
The Importance of Antioxidant Activity for the Health-Promoting Effect of Lycopene
Kulawik, A., Cielecka‐Piontek, J., & Zalewski, P. (2023) · Nutrients · doi:10.3390/nu15173821 · Cited by 105
Region-specific vulnerability in neurodegeneration: lessons from normal ageing
Pandya, V. A., & Patani, R. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101311 · Cited by 98
The Expanding Burden of Neurodegenerative Diseases: An Unmet Medical and Social Need
Wang, S., Jiang, Y., Yang, A., Meng, F., & Zhang, J. (2024) · Aging and Disease · doi:10.14336/ad.2024.1071 · Cited by 115
Herman, S., Fishel, I., & Offen, D. (2021) · Stem Cells · doi:10.1002/stem.3456 · Cited by 93
Gut Microbiota, an Additional Hallmark of Human Aging and Neurodegeneration
Molinero, N., Antón‐Fernández, A., Hernández, F., Ávila, J., Bartolomé, B., & Moreno-Arribas, M. V. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2023.02.014 · Cited by 101
Fueling neurodegeneration: metabolic insights into microglia functions
Sadeghdoust, M., Das, A., & Kaushik, D. K. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03296-0 · Cited by 107
Spatial transcriptomic clocks reveal cell proximity effects in brain ageing
Sun, E., Zhou, O. Y., Hauptschein, M., Rappoport, N., Xu, L., Negredo, P. N., Liu, L. A., Rando, T. A., Zou, J., & Brunet, A. (2024) · Nature · doi:10.1038/s41586-024-08334-8 · Cited by 106
JNK Pathway in CNS Pathologies
Corrales, T. D. L. R., Losada‐Pérez, M., & Casas‐Tintó, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22083883 · Cited by 92
Structural Plasticity of the Hippocampus in Neurodegenerative Diseases
Weerasinghe-Mudiyanselage, P. D. E., Ang, M. J., Kang, S., Kim, J., & Moon, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063349 · Cited by 97
Pinto, M., Silva, V., Barreiro, S., Silva, R. V. D. S., Remião, F., Borges, F., & Fernandes, C. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101658 · Cited by 97
Kip, E., & Parr‐Brownlie, L. C. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1092537 · Cited by 105
Astrocyte-derived extracellular vesicles: A double-edged sword in central nervous system disorders
Zhao, S., Sheng, S., Wang, Y., Ding, L., Xu, X., Xia, X., & Zheng, J. C. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.027 · Cited by 90
Biological mechanisms of aging predict age-related disease co-occurrence in patients
Fraser, H. C., Kuan, V., Johnen, R., Zwierzyna, M., Hingorani, A. D., Beyer, A., & Partridge, L. (2022) · Aging Cell · doi:10.1111/acel.13524 · Cited by 90
Amyloid-beta uptake by blood monocytes is reduced with ageing and Alzheimer’s disease
Chen, S.-H., Tian, D.-Y., Shen, Y.-Y., Cheng, Y., Fan, D.-Y., Sun, H.-L., He, C.-Y., Sun, P.-Y., Bu, X.-L., Zeng, F., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01113-9 · Cited by 89
Salech, F., Ponce, D. P., Paula-Lima, A. C., SanMartín, C. D., & Behrens, M. I. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00255 · Cited by 92
p53/MDM2 signaling pathway in aging, senescence and tumorigenesis
Huang, Y., Che, X., Wang, P., & Qu, X. (2024) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2024.05.001 · Cited by 99
Uddin, M. S., Hossain, M. F., Mamun, A. A., Shah, M. A., Hasana, S., Bulbul, I. J., Sarwar, M. S., Mansouri, R. A., Ashraf, G. M., Rauf, A., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138313 · Cited by 89
Effects of Intermittent Fasting on Brain Metabolism
Brocchi, A., Rebelos, E., Dardano, A., Mantuano, M., & Daniele, G. (2022) · Nutrients · doi:10.3390/nu14061275 · Cited by 99
Effects of pH alterations on stress- and aging-induced protein phase separation
Jin, X., Zhou, M., Chen, S., Li, D., Cao, X., & Liu, B. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04393-0 · Cited by 94
Aging Biomarkers: From Functional Tests to Multi‐Omics Approaches
Kudryashova, K. S., Burka, K., Kulaga, A. Y., Vorobyeva, N. S., & Kennedy, B. K. (2020) · PROTEOMICS · doi:10.1002/pmic.201900408 · Cited by 95
Proteotoxicity and Neurodegenerative Diseases
Ruz, C., Alcantud, J. L., Montero, F. V., Durán, R., & Bandrés‐Ciga, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165646 · Cited by 84
Yang, X., Zhang, M., Dai, Y.-H., Sun, Y., Aman, Y., Xu, Y., Yu, P., Zheng, Y., Yang, J. J., & Zhu, X. (2020) · Aging · doi:10.18632/aging.103578 · Cited by 86
Natural Polysaccharides as Preventive and Therapeutic Horizon for Neurodegenerative Diseases
Dhahri, M., Alghrably, M., Mohammed, H. A., Badshah, S. L., Noreen, N., Mouffouk, F., Rayyan, S., Qureshi, K. A., Mahmood, D., Lachowicz, J. I., et al. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics14010001 · Cited by 86
Zhao, Y., Jia, M., Chen, W., & Liu, Z. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.02.021 · Cited by 89
Influence of the Mediterranean Diet on Healthy Aging
Andreo-López, M. C., Contreras-Bolívar, V., Muñoz‐Torres, M., García-Fontana, B., & García‐Fontana, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054491 · Cited by 94
Brain perivascular space imaging across the human lifespan
Lynch, K. M., Sepehrband, F., Toga, A. W., & Choupan, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120009 · Cited by 87
Nanomaterials towards Biosensing of Alzheimer’s Disease Biomarkers
Carneiro, P., Morais, S., & Pereira, M. D. C. (2019) · Nanomaterials · doi:10.3390/nano9121663 · Cited by 85
Solana‐Manrique, C., Sanz, F., Martínez‐Carrión, G., & Paricio, N. (2022) · Antioxidants · doi:10.3390/antiox11050848 · Cited by 84
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
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
