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 401–500 of 1,007
Hutchinson, A. N., Bergh, C., Krüger, K., Sűsserová, M., Allen, J., Améen, S., & Tingö, L. (2021) · Microorganisms · doi:10.3390/microorganisms9061344 · Cited by 59
Aggresome assembly at the centrosome is driven by CP110–CEP97–CEP290 and centriolar satellites
Prosser, S. L., Tkach, J. M., Gheiratmand, L., Kim, J., Raught, B., Morrison, C. G., & Pelletier, L. (2022) · Nature Cell Biology · doi:10.1038/s41556-022-00869-0 · Cited by 50
Hallmarks of neurodegenerative disease: A systems pharmacology perspective
Bloomingdale, P., Karelina, T., Ramakrishnan, V., Bakshi, S., Véronneau‐Veilleux, F., Moye, M., Sekiguchi, K., Meno‐Tetang, G. M. L., Mohan, A., Maithreye, R., et al. (2022) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12852 · Cited by 54
Sun, J., Ludvigsson, J. F., Ingre, C., Piehl, F., Wirdefeldt, K., Zagai, U., Ye, W., & Fang, F. (2022) · PLoS Medicine · doi:10.1371/journal.pmed.1004092 · Cited by 51
Li, B.-J., Wang, M., Chen, S., Li, M., Zeng, J., Wu, S., Tu, Y., Li, Y., Zhang, R., Huang, F., et al. (2022) · BioMed Research International · doi:10.1155/2022/3263446 · Cited by 48
Kaur, P., Khera, A., Alajangi, H. K., Sharma, A., Jaiswal, P. K., Singh, G., & Barnwal, R. P. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03164-z · Cited by 55
Terracina, S. A., Petrella, C., Francati, S., Lucarelli, M., Barbato, C., Minni, A., Ralli, M., Greco, A., Tarani, L., Fiore, M., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232415674 · Cited by 56
Lu, Y., Wen, H., Liu, C., Wang, C., Yu, H., Zhang, K., Han, Q., Liu, Y., Han, Z., Li, Z., et al. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.06.011 · Cited by 51
Mei, L., Chen, X., Wei, F., Huang, X. S., Liu, L., Yao, J., Chen, J., Luo, X., Wang, Z., & Yang, A. (2023) · Autophagy · doi:10.1080/15548627.2023.2234797 · Cited by 50
The Role of IL-6 in Neurodegenerative Disorders
Shan, C., Zhang, C., & Zhang, C. (2024) · Neurochemical Research · doi:10.1007/s11064-023-04085-6 · Cited by 52
Astrocytes in selective vulnerability to neurodegenerative disease
Zimmer, T. S., Orr, A. L., & Orr, A. G. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.02.008 · Cited by 57
Griñán‐Ferré, C., Bellver‐Sanchís, A., Guerrero, A. T. G., & Pallàs, M. (2024) · Pharmacological Research · doi:10.1016/j.phrs.2024.107247 · Cited by 55
Neuronal aging causes mislocalization of splicing proteins and unchecked cellular stress
Rhine, K., Li, R., Kopalle, H., Rothamel, K. L., Ge, X., Epstein, E., Mizrahi, O., Madrigal, A. A., Her, H.-L., Gomberg, T. A., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01952-z · Cited by 59
Cruz-Vicente, P., Passarinha, L. A., Silvestre, S., & Gallardo, E. (2021) · Molecules · doi:10.3390/molecules26082193 · Cited by 52
Bhatia‐Dey, N., & Heinbockel, T. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18136976 · Cited by 52
Association of Human Whole Blood NAD+ Contents With Aging
Yang, F., Deng, X., Yu, Y., Luo, L., Chen, X., Zheng, J., Qiu, Y., Xiao, F., Xie, X., Zhao, Y., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.829658 · Cited by 47
Neurodegenerative Diseases: Can Caffeine Be a Powerful Ally to Weaken Neuroinflammation?
Ruggiero, M., Calvello, R., Porro, C., Messina, G., Cianciulli, A., & Panaro, M. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112958 · Cited by 59
Multiple system atrophy: α-Synuclein strains at the neuron-oligodendrocyte crossroad
Reddy, K., & Dieriks, B. V. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00579-z · Cited by 50
Wieczorek, M., Meier, C., Vilpert, S., Reinecke, R., Borrat-Besson, C., Maurer, J., & Kliegel, M. (2023) · BMC Public Health · doi:10.1186/s12889-023-15136-6 · Cited by 51
m6A methylation: Critical roles in aging and neurological diseases
Fan, Y., Lv, X., Chen, Z., Peng, Y., & Zhang, M. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1102147 · Cited by 50
Adiponectin deficiency accelerates brain aging via mitochondria-associated neuroinflammation
He, K., Nie, L., Ali, T., Liu, Z., Li, W., Gao, R., Zhang, Z., Liu, J., Dai, Z., Xie, Y., et al. (2023) · Immunity & Ageing · doi:10.1186/s12979-023-00339-7 · Cited by 51
An aging-related immune landscape in the hematopoietic immune system
Lv, J., Zhang, C., Liu, X., Gu, C., Liu, Y., Gao, Y., Huang, Z., Jiang, Q., Chen, B., He, D., et al. (2024) · Immunity & Ageing · doi:10.1186/s12979-023-00403-2 · Cited by 52
Adipose tissue macrophages as a therapeutic target in obesity‐associated diseases
Herrada, A. A., Olate‐Briones, A., Armando Rojas, R., Liu, C., Escobedo, N., & Piesche, M. (2021) · Obesity Reviews · doi:10.1111/obr.13200 · Cited by 48
Neuronal Mitophagy: Friend or Foe?
Doxaki, C., & Palikaras, K. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.611938 · Cited by 48
Roles of NAD + in Health and AgingPreprint
Lautrup, S., Hou, Y., Fang, E. F., & Bohr, V. A. (2023) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041193 · Cited by 53
Self-citationCD22 Blockage Restores Age-Related Impairments of Microglia Surveillance Capacity
Aires, V., Coulon-Bainier, C., Pavlovic, A., Ebeling, M., Schmucki, R., Schweitzer, C., Kueng, E., Gutbier, S., & Harde, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.684430 · Cited by 48
Impaired Mitophagy in Neurons and Glial Cells during Aging and Age-Related Disorders
Sukhorukov, V. S., Воронков, Д. Н., Baranich, T. I., Mudzhiri, N. M., Magnaeva, A., & Illarioshkin, S. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910251 · Cited by 50
Tan, V., Chen, C., & Merchant, R. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277290 · Cited by 47
Charpignon, M., Vakulenko‐Lagun, B., Zheng, B., Magdamo, C., Su, B., Evans, K. E., Rodriguez, S., Sokolov, A., Boswell, S. A., Sheu, Y.-H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35157-w · Cited by 56
Richardson, M., & Richardson, D. R. (2023) · Molecular Pharmacology · doi:10.1124/molpharm.123.000803 · Cited by 48
Investigating the impact of motion in the scanner on brain age predictions
Moqadam, R., Dadar, M., & Zeighami, Y. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00079 · Cited by 50
From beta amyloid to altered proteostasis in Alzheimer’s disease
Bruni, A. C., Bernardi, L., & Gabelli, C. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101126 · Cited by 47
A review on neuropharmacological role of erucic acid: an omega-9 fatty acid from edible oils
Kumar, J. B. S., & Sharma, B. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2020.1831262 · Cited by 50
Neuroprotective effects of naturally sourced bioactive polysaccharides: an update
Le, W., Xu, X.-L., Li, S., & Zhang, R. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.335142 · Cited by 50
Retrotransposons as a Source of DNA Damage in Neurodegeneration
Pezé-Heidsieck, E., Bonnifet, T., Znaidi, R., Ravel‐Godreuil, C., Massiani-Beaudoin, O., Joshi, R. L., & Fuchs, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.786897 · Cited by 53
Natale, F., Fusco, S., & Grassi, C. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00326-w · Cited by 49
Suzzi, S., Croese, T., Ravid, A., Gold, O., Clark, A. R., Medina, S., Kitsberg, D., Adam, M., Vernon, K. A., Kohnert, E., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36759-8 · Cited by 47
Model-based whole-brain perturbational landscape of neurodegenerative diseases
Perl, Y. S., Fittipaldi, S., Campo, C. G., Moguilner, S., Cruzat, J., Fraile-Vazquez, M. E., Herzog, R. A., Kringelbach, M. L., Deco, G., Prado, P., et al. (2023) · eLife · doi:10.7554/elife.83970 · Cited by 47
Liu, P., Liu, X., Ren, M., Liu, X., Shi, X., Li, M., Li, S., Yang, Y., Wang, D., Wu, Y., et al. (2024) · Aging Cell · doi:10.1111/acel.14393 · Cited by 51
Kumar, R., Waisberg, E., Ong, J., Paladugu, P., Amiri, D., Saintyl, J., Yelamanchi, J., Nahouraii, R., Jagadeesan, R., & Tavakkoli, A. (2024) · Brain Sciences · doi:10.3390/brainsci14121266 · Cited by 52
Wang, J., Liu, B., Xu, Y. X., Yang, M., Wang, C., Song, M., Liu, J., Wang, W., You, J., Sun, F., et al. (2021) · Aging Cell · doi:10.1111/acel.13333 · Cited by 47
Roles of physical exercise in neurodegeneration: reversal of epigenetic clock
Xu, M., Zhu, J., Liu, X.-D., Luo, M.-Y., & Xu, N.-J. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00254-1 · Cited by 46
Koklesová, L., Líšková, A., Samec, M., Zhai, K., AL-Ishaq, R. K., Bugos, O., Šudomová, M., Biringer, K., Péč, M. J., Adamkov, M., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22168649 · Cited by 47
Sun, M., Chen, X., Cao, J., Cui, X., & Wang, H. (2021) · Food & Function · doi:10.1039/d1fo01908b · Cited by 46
Immune Memory in Aging: a Wide Perspective Covering Microbiota, Brain, Metabolism, and Epigenetics
Bulut, O. P., Kılıç, G., & Domínguez‐Andrés, J. (2021) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-021-08905-x · Cited by 50
Wang, L., Shui, X., Diao, Y., Chen, D., Zhou, Y., & Lee, T. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216259 · Cited by 49
Reduction of DHHC5-mediated beclin 1 S-palmitoylation underlies autophagy decline in aging
Guo, R., Liu, J., Min, X., Zeng, W., Shan, B., Zhang, M., He, Z., Zhang, Y., He, K., Yuan, J., et al. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01163-9 · Cited by 46
A deep learning model for brain age prediction using minimally preprocessed T1w images as input
Dartora, C. M., Marseglia, A., Mårtensson, G., Rukh, G., Dang, J., Muehlboeck, J., Wahlund, L., Moreno, R., Barroso, J., Ferreira, D., et al. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1303036 · Cited by 46
The Protein Scaffolding Functions of Polyphosphate
Guan, J., & Jakob, U. (2024) · Journal of Molecular Biology · doi:10.1016/j.jmb.2024.168504 · Cited by 45
Dysregulation of extracellular potassium distinguishes healthy ageing from neurodegeneration
Ding, F., Sun, Q., Long, C., Rasmussen, R. N., Peng, S., Xu, Q., Kang, N., Song, W., Weikop, P., Goldman, S. A., et al. (2024) · Brain · doi:10.1093/brain/awae075 · Cited by 46
Alterations of human CSF and serum-based mitophagy biomarkers in the continuum of Alzheimer disease
Veverová, K., Laczó, J., Katonová, A., Horáková, H., Matušková, V., Angelucci, F., Laczó, M., Nedelská, Z., Hort, J., Wang, H., et al. (2024) · Autophagy · doi:10.1080/15548627.2024.2340408 · Cited by 45
Mechanisms of astrocyte aging in reactivity and disease
Gildea, H. K., & Liddelow, S. A. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00810-7 · Cited by 45
Regulation of neuronal bioenergetics as a therapeutic strategy in neurodegenerative diseases
Onyango, I. G., Bennett, J. P., & Stokin, G. B. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.303007 · Cited by 45
El-Fatah, I. M. A., Abdelrazek, H. M. A., Ibrahim, S. M., Abdallah, D. M., & El-Abhar, H. S. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2021.105082 · Cited by 48
Okarmus, J., Havelund, J. F., Ryding, M., Schmidt, S. I., Bogetofte, H., Heon‐Roberts, R., Wade‐Martins, R., Cowley, S. A., Ryan, B. J., Færgeman, N. J., et al. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.04.022 · Cited by 46
Nguyen, C. D., & Lee, G. (2021) · Antioxidants · doi:10.3390/antiox10111654 · Cited by 46
Winer, J. R., Lok, R., Weed, L., He, Z., Poston, K. L., Mormino, E. C., & Zeitzer, J. M. (2024) · Alzheimer's Research & Therapy · doi:10.1186/s13195-024-01411-0 · Cited by 44
Liang, Z., Soriano‐Castell, D., Kepchia, D., Duggan, B. M., Currais, A. J. M., Schubert, D. A., & Maher, P. A. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.01.001 · Cited by 45
Irisin: A promising treatment for neurodegenerative diseases
Qi, J., Yang, L.-K., Wang, X., Wang, M., Li, X., Feng, B., Wu, Y., Zhang, K., & Liu, S. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.07.018 · Cited by 45
Hashim, H. M., & Makpol, S. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1007166 · Cited by 47
Age- and sex-specific modifiable risk factor profiles of dementia: evidence from the UK Biobank
Chen, H., Cao, Y., Ma, Y., Xu, W., Zong, G., & Yuan, C. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-022-00952-8 · Cited by 46
Catanese, A., Rajkumar, S., Sommer, D., Masrori, P., Hersmus, N., Damme, P. V., Witzel, S., Ludolph, A. C., Ho, R., Boeckers, T. M., et al. (2023) · Brain · doi:10.1093/brain/awad075 · Cited by 44
Differences in the post-stroke innate immune response between young and old
Gallizioli, M., Arbaizar‐Rovirosa, M., Brea, D., & Planas, A. M. (2023) · Seminars in Immunopathology · doi:10.1007/s00281-023-00990-8 · Cited by 45
He, J., Hou, T., Wang, Q., Wang, Q., Jiang, Y., Chen, L., Xu, J., Qi, Y., Jia, D., Gu, Y., et al. (2024) · Aging Cell · doi:10.1111/acel.14081 · Cited by 48
Proteostasis Decline and Redox Imbalance in Age-Related Diseases: The Therapeutic Potential of NRF2
Buttari, B., Tramutola, A., Rojo, A. I., Chondrogianni, N., Saha, S., Berry, A., Giona, L., Miranda, J. P., Profumo, E., Davinelli, S., et al. (2025) · Biomolecules · doi:10.3390/biom15010113 · Cited by 49
Tang, J., Yue, L., Xu, Y., Xu, F., Cai, X., Fu, Y., Miao, Z., Gou, W., Hu, W., Xue, Z., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-024-01185-7 · Cited by 58
Incidence and Prevalence of Frontotemporal Dementia
Urso, D., Giannoni‐Luza, S., Brayne, C., Ray, N., & Logroscino, G. (2025) · JAMA Neurology · doi:10.1001/jamaneurol.2025.3307 · Cited by 51
Gu, J., Zhang, T., Guo, J., Chen, K., Li, H., & Wang, J. (2020) · Shock · doi:10.1097/shk.0000000000001534 · Cited by 44
Amburana cearensis: Pharmacological and Neuroprotective Effects of Its Compounds
Silva, J. H. C. E., Ferreira, R. S., Pereira, É. P. L., Braga‐de‐Souza, S., de Almeida, M. M. A., dos Santos, C. C., Butt, A. M., Caiazzo, E., Capasso, R., da Silva, V. D. A., et al. (2020) · Molecules · doi:10.3390/molecules25153394 · Cited by 43
Tau‐Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease
Das, S. R., Lyu, X., Duong, M. T., Xie, L., McCollum, L., de Florès, R., DiCalogero, M., Irwin, D. J., Dickerson, B. C., Nasrallah, I. M., et al. (2021) · Annals of Neurology · doi:10.1002/ana.26233 · Cited by 42
Suelves, N., Saleki, S., Ibrahim, T., Palomares, D., Moonen, S., Koper, M. J., Vrancx, C., Vadukul, D. M., Papadopoulos, N., Viceconte, N., et al. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01578-x · Cited by 43
Old plasma dilution reduces human biological age: a clinical study
Kim, D., KIPROV, D. D., Luellen, C., Lieb, M., Liu, C., Watanabe, E., Mei, X., Casaletto, K. B., Kramer, J. H., Conboy, M. J., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00645-w · Cited by 44
Rahman, A., Saikia, B., Gogoi, C. R., & Baruah, A. (2022) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2022.08.007 · Cited by 43
Ma, X., Zhao, Y., Yang, T., Gong, N., Chen, X., Liu, G., & Xiao, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1058780 · Cited by 44
Liang, Z., Gong, X., Ye, R., Zhao, Y., Yu, J., Zhao, Y., & Bao, J. (2023) · Nutrients · doi:10.3390/nu15010250 · Cited by 44
Suk, H., Buie, N. E., Xu, G., Banerjee, A., Boyden, E. S., & Tsai, L. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1129510 · Cited by 43
Wang, S., Deng, R., Chen, Z., Huang, L., Song, Y., Yuan, D., Li, Y., Liu, H., Yang, F., Fan, B., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c09311 · Cited by 44
Biomaterial strategies for regulating the neuroinflammatory response
Galindo, A. N., Rubio, D. A. F., & Hettiaratchi, M. H. (2024) · Materials Advances · doi:10.1039/d3ma00736g · Cited by 49
Azam, H. M. H., Rößling, R., Geithe, C., Khan, M. M., Dinter, F., Hanack, K., Prüß, H., Husse, B., Roggenbuck, D., Schierack, P., et al. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1386735 · Cited by 49
The relationship between telomere length and aging-related diseases
Huang, X., Huang, L., Lu, J., Cheng, L., Wu, D. A., Li, L., Zhang, S., Lai, X., & Xu, L. (2025) · Clinical and Experimental Medicine · doi:10.1007/s10238-025-01608-z · Cited by 57
Disruption of the cerebrospinal fluid–plasma protein balance in cognitive impairment and aging
Farinas, A., Rutledge, J., Bot, V. A., Western, D., Ying, K., Lawrence, K. A., Oh, H. S., Yoon, S., Ding, D. Y., Tsai, A. P., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03831-3 · Cited by 52
A natural product solution to aging and aging-associated diseases
Yang, C., Zhang, W., Dong, X., Fu, C., Yuan, J., Xu, M., Liang, Z. C., Qiu, C., & Xu, C. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107673 · Cited by 43
Caveolin-1, a novel player in cognitive decline
Tang, W., Li, Y., Li, Y., & Wang, Q. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.044 · Cited by 43
Parida, I. S., Takasu, S., & Nakagawa, K. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1989660 · Cited by 42
Circular RNAs : emerging players in brain aging and neurodegenerative diseases
Wu, D., Zhao, Y., Yan, Q., Liu, L., Wei, Y., & Huang, J. (2022) · The Journal of Pathology · doi:10.1002/path.6021 · Cited by 43
Self-citationExosome Release Delays Senescence by Disposing of Obsolete Biomolecules
Zou, W., Lai, M., Jiang, Y., Mao, L., Wu, Z., Zhang, S., Lai, P., Guo, B., Wei, T., Nie, C., et al. (2023) · Advanced Science · doi:10.1002/advs.202204826 · Cited by 45
Palikaras, K., Mari, M., Ploumi, C., Princz, A., Filippidis, G., & Tavernarakis, N. (2023) · Aging Cell · doi:10.1111/acel.13788 · Cited by 42
Potential Active Marine Peptides as Anti-Aging Drugs or Drug Candidates
Yang, H., Zhang, Q., Zhang, B., Zhao, Y., & Wang, N. (2023) · Marine Drugs · doi:10.3390/md21030144 · Cited by 44
Cellular senescence and the blood–brain barrier: Implications for aging and age-related diseases
Knopp, R. C., Erickson, M. A., Rhea, E. M., Reed, M. J., & Banks, W. A. (2023) · Experimental Biology and Medicine · doi:10.1177/15353702231157917 · Cited by 47
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Zhao, H., Cao, J., Xie, J., Liao, W., Lei, Y., Cao, H., Qu, Q., & Bowen, C. (2023) · Digital Health · doi:10.1177/20552076231173569 · Cited by 44
Wang, S., Zheng, X., Huang, J., Liu, J., Li, C., & Shang, H. (2024) · Journal of Neurology · doi:10.1007/s00415-024-12380-7 · Cited by 49
Iron homeostasis and neurodegeneration in the ageing brain: Insight into ferroptosis pathways
Alrouji, M., Anwar, S., Venkatesan, K., Shahwan, M. J., Hassan, M. I., Islam, A., & Shamsi, A. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102575 · Cited by 45
Mitochondrial DAMPs: Key mediators in neuroinflammation and neurodegenerative disease pathogenesis
Yu, H., Ren, K., Jin, Y., Zhang, L., Liu, H., Huang, Z., Zhang, Z., Chen, X., Yang, Y., & Wei, Z. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110217 · Cited by 46
Prasanth, M. I., Subramanyam, G., Bhaskar, J. P., Krishnan, V., & Balamurugan, K. (2020) · Journal of Photochemistry and Photobiology B Biology · doi:10.1016/j.jphotobiol.2020.111844 · Cited by 42
Experimental Evidence of the Benefits of Acupuncture for Alzheimer's Disease: An Updated Review
Yu, C.-C., Du, Y., Wang, S., Liu, L.-B., Shen, F., Wang, L., Lin, Y.-F., & Kong, L.-H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.549772 · Cited by 43
Hecker, M., Fitzner, B., Jäger, K., Bühring, J., Schwartz, M., Hartmann, A., Walter, M., & Zettl, U. K. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02315-y · Cited by 43
Chen, S., Zhou, H., Zhang, G., Dong, Q. Z., Wang, Z., Wang, H., & Hu, N. (2021) · Food Chemistry · doi:10.1016/j.foodchem.2021.129435 · Cited by 43
The microglial lysosomal system in Alzheimer’s disease: Guardian against proteinopathy
Van Acker, Z. P., Perdok, A., Bretou, M., & Annaert, W. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101444 · Cited by 45
Shoshan‐Barmatz, V., Anand, U., Crystal, E. N., Carlo, M. D., & Shteinfer‐Kuzmine, A. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.730048 · Cited by 42
Valiente-Pallejà, A., Tortajada, J. J., Bulduk, B. K., Vilella, E., Garrabou, G., Muntané, G., & Martorell, L. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.103815 · Cited by 43
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
