Outer Pore Collapse as a Potential Mechanism of Partial Loss of Pain in Nav1.7 M899I
Sudha Bhagavath Eswaran, V.; Torres-Ortiz, E.; Hautvast, P.; Botchoi, A.; Detro-Dassen, S.; Neureiter, A.; Liu, Y.; Hausmann, R.; Lampert, A.
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Complete loss of function of the voltage-gated sodium channel subtype Nav1.7, encoded by SCN9A, results in congenital insensitivity to pain. Here, we investigate a previously identified variant, M899I, in which methionine at position 899 is substituted by isoleucine. This variant was originally described in a Chinese patient with loss of pain. We confirmed membrane expression of the mutant channel in HEK cells using extracellular HA-tagging; however, no sodium currents were detectable from the variant in patch-clamp recordings. The M899I substitution is located within a tightly packed hydrophobic region of the pore module. Introducing the corresponding variant into Nav1.2 and Nav1.5 similarly abolished channel function, underscoring the high conservation and functional importance of this residue. To further investigate the underlying mechanism, we combined in-silico coarse-grained molecular dynamics simulations with in-vitro electrophysiological analysis. Our simulations predicted that the M899I substitution induces collapse of the outer pore, substantially reducing both pore radius and volume. Substitution with other hydrophobic residues was likewise predicted to alter pore geometry and, consequently, ion permeation to varying degrees. Whole-cell voltage-clamp recordings validated these predictions, with observed current densities closely correlating with the extent of pore collapse predicted in silico. Together, our findings establish pore collapse as a mechanism underlying disease-relevant loss-of-function variants in Nav1.7 and suggest that this principle may extend to other sodium channel subtypes. Moreover, our results demonstrate that in-silico molecular dynamics approaches can reliably predict structural and functional consequences of channel mutations, as confirmed by in-vitro electrophysiological data.
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