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Ion Selectivity in the Selectivity Filters of Acid-Sensing Ion Channels

Authors: Todor Dudev; Carmay Lim;

Ion Selectivity in the Selectivity Filters of Acid-Sensing Ion Channels

Abstract

Sodium-selective acid sensing ion channels (ASICs), which belong to the epithelial sodium channel (ENaC) superfamily, are key players in many physiological processes (e.g. nociception, mechanosensation, cognition, and memory) and are potential therapeutic targets. Central to the ASIC's function is its ability to discriminate Na(+) among cations, which is largely determined by its selectivity filter, the narrowest part of an open pore. However, it is unclear how the ASIC discriminates Na(+) from rival cations such as K(+) and Ca(2+) and why its Na(+)/K(+) selectivity is an order of magnitude lower than that of the ENaC. Here, we show that a well-tuned balance between electrostatic and solvation effects controls ion selectivity in the ASIC1a SF. The large, water-filled ASIC1a pore is selective for Na(+) over K(+) because its backbone ligands form more hydrogen-bond contacts and stronger electrostatic interactions with hydrated Na(+) compared to hydrated K(+). It is selective for Na(+) over divalent Ca(2+) due to its relatively high-dielectric environment, which favors solvated rather than filter-bound Ca(2+). However, higher Na(+)-selectivity could be achieved in a narrow, rigid pore lined by three weak metal-ligating groups, as in the case of ENaC, which provides optimal fit and interactions for Na(+) but not for non-native ions.

Keywords

Sodium, Hydrogen Bonding, Article, Acid Sensing Ion Channels, Cations, Potassium, Calcium, Amino Acid Sequence, Epithelial Sodium Channels

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Average
Top 10%
Green
gold