The DOI matches its Crossref record; 346 of the 346 references it cites were found in a registry or an index.
Metal Toxicity Links to Alzheimer's Disease and Neuroinflammation
Open accessAbstract
As the median age of the population increases, the number of individuals with Alzheimer’s disease (AD) and the associated socio-economic burden are predicted to worsen. While aging and inherent genetic predisposition play major roles in the onset of AD, lifestyle, physical fitness, medical condition, and social environment have emerged as relevant disease modifiers. These environmental risk factors can play a key role in accelerating or decelerating disease onset and progression. Among known environmental risk factors, chronic exposure to various metals has become more common among the public as the aggressive pace of anthropogenic activities releases excess amount of metals into the environment. As a result, we are exposed not only to essential metals, such as iron, copper, zinc and manganese, but also to toxic metals including lead, aluminum, and cadmium, which perturb metal homeostasis at the cellular and organismal levels. Herein, we review how these metals affect brain physiology and immunity, as well as their roles in the accumulation of toxic AD proteinaceous species (i.e., β-amyloid and tau). We also discuss studies that validate the disruption of immune-related pathways as an important mechanism of toxicity by which metals can contribute to AD. Our goal is to increase the awareness of metals as players in the onset and progression of AD.
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1 retracted
Ghribi, O., Herman, M. M., Forbes, M. S., DeWitt, D. A., & Savory, J. (2001) · Neurobiology of Disease · doi:10.1006/nbdi.2001.0429 · Cited by 105
RetractedDementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072
Cui, C., Cui, J., Jin, F., Cui, Y., Li, R., Jiang, X., Tian, Y., Wang, K., Jiang, P., & Gao, J. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000479571 · Cited by 5,203
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343 · cited 1×
“Not only can this exacerbate Aβ and tau pathology, but microglia can become overactive in neurodegeneration, excessively pruning synapses and injuring neurons [23].”
BackgroundNeurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
Tau-mediated neurodegeneration in Alzheimer’s disease and related disorders
Ballatore, C., Lee, V. M.-Y., & Trojanowski, J. Q. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2194 · Cited by 2,174
Toxicity of lead: a review with recent updates
Flora, G., Gupta, D., & Tiwari, A. (2012) · Interdisciplinary Toxicology · doi:10.2478/v10102-012-0009-2 · Cited by 2,144
Copper, iron and zinc in Alzheimer's disease senile plaques
Lovell, M. A., Robertson, J. D., Teesdale, W. J., Campbell, J. L., & Markesbery, W. R. (1998) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(98)00092-6 · Cited by 2,120
Two to tango: Regulation of Mammalian iron metabolism
Hentze, M. W., Muckenthaler, M. U., Galy, B., & Camaschella, C. (2010) · Cell · doi:10.1016/j.cell.2010.06.028 · Cited by 2,120
Cited by
Comprehensive Review on Alzheimer’s Disease: Causes and Treatment
Breijyeh, Z., & Karaman, R. (2020) · Molecules · doi:10.3390/molecules25245789 · Cited by 2,789
Advance in peptide-based drug development: delivery platforms, therapeutics and vaccines
Xiao, W., Jiang, W., Chen, Z., Huang, Y., Mao, J., Zheng, W., Hu, Y., & Shi, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02107-5 · Cited by 449
Combination Drug Therapy for the Management of Alzheimer’s Disease
Kabir, M. T., Uddin, M. S., Mamun, A. A., Jeandet, P., Aleya, L., Mansouri, R. A., Ashraf, G. M., Mathew, B., Bin-Jumah, M. N., & Abdel-Daim, M. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21093272 · Cited by 217
Gene–environment interactions in Alzheimer disease: the emerging role of epigenetics
Migliore, L., & Coppedè, F. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00714-w · Cited by 217
Chen, L.-L., Fan, Y.-G., Zhao, L.-X., Zhang, Q., & Wang, Z.-Y. (2023) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2022.106301 · Cited by 200
Metadata
- Authors
- Huat, T. J., Camats-Perna, J., Newcombe, E. A., Valmas, N., Kitazawa, M., & Medeiros, R.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 431
- Issue
- 9
- Pages
- 1843-1868
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2909437563
- Cited by
- 470
- References
- 346
- FWCI
- 29.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Huat, T. J., Camats-Perna, J., Newcombe, E. A., Valmas, N., Kitazawa, M., & Medeiros, R. (2019). Metal Toxicity Links to Alzheimer's Disease and Neuroinflammation. Journal of Molecular Biology. https://doi.org/10.1016/j.jmb.2019.01.018
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
