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From Proteopedia
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==Relevance== | ==Relevance== | ||
- | + | GS is connected with the development of AD. In this, Aβ fragment build up leads to [https://en.wikipedia.org/wiki/Amyloid amyloid]plaques in brain.<ref name="Devendra">PMID:29477076</ref> These plaques then go on to cause severe neural dysfunction over time. | |
- | Mutations in GS are also connected with AD. Over 200 of GS mutations have been linked to causing AD. These mutations target "hot spots" on the enzyme and are aggregated at the interface between PS1 and APP.The vast majority of these mutations are clustered in regions surrounding the C-terminal half of the APP TM helix and the β-strand. Mutations at these locations affect the integrity of APP recruitment and catalysis, implicating a role in the development of Aβ plaques that impair neural function. | + | |
- | Inhibition of GS could be a potential AD treatment, but this would require targeting only APP cleavage over other GS substrates. The differential binding of APP and Notch to GS provides a starting point for this differentiation but will require further follow-up studies to confirm that the structural differences observed are biologically relevant. Currently, in order to combat this complex situation, differences in binding between different substrates are being utilized to create drugs that selectively inhibit APP binding with GS, and possibly create a more ideal target for AD treatment<ref name="Zhou">PMID:30630874</ref>. | + | Mutations in GS are also connected with AD. Over 200 of GS mutations have been linked to causing AD. These mutations target "hot spots" on the enzyme and are aggregated at the interface between PS1 and APP.The vast majority of these mutations are clustered in regions surrounding the C-terminal half of the APP TM helix and the β-strand. Mutations at these locations affect the integrity of APP recruitment and catalysis, implicating a role in the development of Aβ plaques that impair neural function. |
+ | |||
+ | Inhibition of GS could be a potential AD treatment, but this would require targeting only APP cleavage over other GS substrates. APP cleavage leads to products such as Aβ42 and Aβ43, which are prone to aggregation and formation of Aβ plaques. Many of the mutations within PS1 result in elevated ratios of Aβ42/Aβ40<ref name="Bai">PMID:26280335</ref>. The differential binding of APP and Notch to GS provides a starting point for this differentiation but will require further follow-up studies to confirm that the structural differences observed are biologically relevant. Currently, in order to combat this complex situation, differences in binding between different substrates are being utilized to create drugs that selectively inhibit APP binding with GS, and possibly create a more ideal target for AD treatment<ref name="Zhou">PMID:30630874</ref>. | ||
Revision as of 05:29, 21 April 2020
Gamma Secretase
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References
- ↑ 1.0 1.1 Yang G, Zhou R, Shi Y. Cryo-EM structures of human gamma-secretase. Curr Opin Struct Biol. 2017 Oct;46:55-64. doi: 10.1016/j.sbi.2017.05.013. Epub, 2017 Jul 17. PMID:28628788 doi:http://dx.doi.org/10.1016/j.sbi.2017.05.013
- ↑ 2.0 2.1 2.2 2.3 Zhou R, Yang G, Guo X, Zhou Q, Lei J, Shi Y. Recognition of the amyloid precursor protein by human gamma-secretase. Science. 2019 Feb 15;363(6428). pii: science.aaw0930. doi:, 10.1126/science.aaw0930. Epub 2019 Jan 10. PMID:30630874 doi:http://dx.doi.org/10.1126/science.aaw0930
- ↑ 3.0 3.1 3.2 Bai XC, Yan C, Yang G, Lu P, Ma D, Sun L, Zhou R, Scheres SH, Shi Y. An atomic structure of human gamma-secretase. Nature. 2015 Aug 17. doi: 10.1038/nature14892. PMID:26280335 doi:http://dx.doi.org/10.1038/nature14892
- ↑ 4.0 4.1 Bolduc DM, Montagna DR, Seghers MC, Wolfe MS, Selkoe DJ. The amyloid-beta forming tripeptide cleavage mechanism of gamma-secretase. Elife. 2016 Aug 31;5. doi: 10.7554/eLife.17578. PMID:27580372 doi:http://dx.doi.org/10.7554/eLife.17578
- ↑ Kumar D, Ganeshpurkar A, Kumar D, Modi G, Gupta SK, Singh SK. Secretase inhibitors for the treatment of Alzheimer's disease: Long road ahead. Eur J Med Chem. 2018 Mar 25;148:436-452. doi: 10.1016/j.ejmech.2018.02.035. Epub , 2018 Feb 15. PMID:29477076 doi:http://dx.doi.org/10.1016/j.ejmech.2018.02.035
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