The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Copper signalling: causes and consequences
Open accessAbstract
Copper-containing enzymes perform fundamental functions by activating dioxygen (O2) and therefore allowing chemical energy-transfer for aerobic metabolism. The copper-dependence of O2 transport, metabolism and production of signalling molecules are supported by molecular systems that regulate and preserve tightly-bound static and weakly-bound dynamic cellular copper pools. Disruption of the reducing intracellular environment, characterized by glutathione shortage and ambient Cu(II) abundance drives oxidative stress and interferes with the bidirectional, copper-dependent communication between neurons and astrocytes, eventually leading to various brain disease forms. A deeper understanding of of the regulatory effects of copper on neuro-glia coupling via polyamine metabolism may reveal novel copper signalling functions and new directions for therapeutic intervention in brain disorders associated with aberrant copper metabolism.
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Pearson, R. G. (1963) · Journal of the American Chemical Society · doi:10.1021/ja00905a001 · Cited by 10,475
Ferroptosis: process and function
Xie, Y., Hou, W., Song, X., Yu, Y., Huang, J., Sun, X., Kang, R., & Tang, D. (2016) · Cell Death & Differentiation · doi:10.1038/cdd.2015.158 · Cited by 3,727
Cloning and characterization of a mammalian proton-coupled metal-ion transporter
Gunshin, H., Mackenzie, B., Berger, U. V., Gunshin, Y., Romero, M. F., Boron, W. F., Nussberger, S., Gollan, J. L., & Hediger, M. A. (1997) · Nature · doi:10.1038/41343 · Cited by 3,166
Verkhratsky, A., & Nedergaard, M. (2018) · Physiological Reviews · doi:10.1152/physrev.00042.2016 · Cited by 1,678
Scherzinger, E., Lurz, R., Turmaine, M., Mangiarini, L., Hollenbach, B., Hasenbank, R., Bates, G. P., Davies, S. W., Lehrach, H., & Wanker, E. E. (1997) · Cell · doi:10.1016/s0092-8674(00)80514-0 · Cited by 1,291 · cited 1×
“Abnormal copper accumulation in the striatum of HC patients has been linked to the copper binding facilitated formation of amyloidcopper transporter Ctr1, rlike bodies of the huntingtin (Htt) protein [284, 285].”
Glutathione Homeostasis and Functions: Potential Targets for Medical Interventions
Lushchak, V. I. (2012) · Journal of Amino Acids · doi:10.1155/2012/736837 · Cited by 1,266 · cited 1×
“Redox propensity of chelates between copper and pertinent peptides (tripeptide glutathione (γ-L-glutamyl-L-cysteinylglycine: GSH) [116, 117]; peptide fragments of matricellular calcium-binding glycoprotein (secreted protein, acidic and rich in cysteine: SPARC) Gly-His-Lys (GHK) (for a recent review see [118] and prote…”
Bush, A. (2000) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(99)00073-3 · Cited by 731
Biological metals and metal-targeting compounds in major neurodegenerative diseases
Barnham, K. J., & Bush, A. I. (2014) · Chem. Soc. Rev. · doi:10.1039/c4cs00138a · Cited by 497
The cuprizone animal model: new insights into an old story
Kipp, M., Clarner, T., Dang, J., Copray, S., & Beyer, C. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0591-3 · Cited by 481
Praet, J., Guglielmetti, C., Berneman, Z., Van der Linden, A., & Ponsaerts, P. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.004 · Cited by 435
Cited by
Copper bioavailability, uptake, toxicity and tolerance in plants: A comprehensive review
Kumar, V., Pandita, S., Singh Sidhu, G. P., Sharma, A., Khanna, K., Kaur, P., Bali, A. S., & Setia, R. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2020.127810 · Cited by 594
Taylor, A. A., Tsuji, J. S., Garry, M. R., McArdle, M. E., Goodfellow, W. L., Adams, W. J., & Menzie, C. A. (2020) · Environmental Management · doi:10.1007/s00267-019-01234-y · Cited by 512
Lactylation of METTL16 promotes cuproptosis via m6A-modification on FDX1 mRNA in gastric cancer
Sun, L., Zhang, Y., Yang, B., Sun, S., Zhang, P., Luo, Z., Feng, T., Cui, Z., Zhu, T., Li, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42025-8 · Cited by 490
Antimicrobial Nano-Agents: The Copper Age
Ermini, M. L., & Voliani, V. (2021) · ACS Nano · doi:10.1021/acsnano.0c10756 · Cited by 477
Copper Dyshomeostasis in Neurodegenerative Diseases—Therapeutic Implications
Gromadzka, G., Tarnacka, B., Flaga, A., & Adamczyk, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239259 · Cited by 339
Metadata
- Authors
- Kardos, J., Héja, L., Simon, Á., Jablonkai, I., Kovács, R., & Jemnitz, K.
- Venue
- Cell Communication and Signaling
- Published
- 2018-10-22
- Volume
- 16
- Issue
- 1
- Pages
- 71-71
- ISSN
- 1478-811X (ISSN-L)
- OpenAlex
- W2897503237
- Cited by
- 213
- References
- 21
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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