Back

PIP2 stabilizes Nav1.5 gating and links receptor signaling to cardiac late sodium current

Gada, K. D.; Kamuene, J. m.; Santa Cruz, A.; Meng, Z.; Connolly, J. G.; Ng, F.; Ma, X.; Chandrashekar, A.; Xu, Y.; Cui, M.; Plant, L. D.

2026-07-03 physiology
10.64898/2026.06.29.735321 bioRxiv
Show abstract

The cardiac sodium channel NaV1.5 initiates each heartbeat by generating the rapid depolarizing upstroke of the action potential. Dysregulation of NaV1.5 gating can produce cardiac arrhythmias by slowing inactivation, increasing late sodium current (INa,L), and impairing electrical stability. Here, we show that phosphatidylinositol-4,5-bisphosphate (PIP2) is a critical membrane cofactor that stabilizes NaV1.5 gating. Acute PIP2 depletion in human iPSC-derived cardiomyocytes, produced by activation of endogenous AT1 receptors, activation of an engineered M3q-DREADD, or optogenetic recruitment of CRY2-pseudojanin, shifted voltage dependence, slowed fast inactivation, and increased INa,L. These effects were prevented by augmenting intracellular PIP2, required PLC activity when driven by Gq-coupled receptors, and were independent of downstream Ca2+ or PKC signaling. Unlike the skeletal-muscle isoform NaV1.4, NaV1.5 displayed PIP2-dependent shifts in both activation and steady-state inactivation, indicating isoform-specific lipid coupling. Induced-fit docking and molecular dynamics simulations identified a PIP2-interaction interface between the domain IV voltage sensor and pore that contains disease-linked residues. The disease-reported variant R1644C weakened and redistributed the predicted PIP2-contact network, produced elevated basal INa,L, showed enhanced sensitivity to PIP2 depletion, and caused an approximately 30-fold reduction in apparent functional PIP2 sensitivity in excised patches. These findings define a lipid-dependent mechanism that stabilizes NaV1.5 gating and reveal how physiological Gq signaling and inherited channel variants can converge on the channel-PIP2 axis to promote proarrhythmic late sodium current.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
eLife
5828 papers in training set
Top 7%
12.2%
2
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 5%
7.7%
3
Nature Communications
5641 papers in training set
Top 21%
7.7%
4
Journal of General Physiology
60 papers in training set
Top 0.1%
7.7%
5
Circulation Research
47 papers in training set
Top 0.2%
6.6%
6
Circulation
74 papers in training set
Top 0.4%
6.6%
7
Journal of Clinical Investigation
179 papers in training set
Top 0.9%
4.7%
50% of probability mass above
8
Circulation: Genomic and Precision Medicine
48 papers in training set
Top 0.3%
4.2%
9
Cell Reports
1498 papers in training set
Top 10%
4.0%
10
JACC: Clinical Electrophysiology
13 papers in training set
Top 0.1%
4.0%
11
Science Advances
1243 papers in training set
Top 11%
3.2%
12
Nature Cardiovascular Research
33 papers in training set
Top 0.3%
3.2%
13
PLOS Genetics
862 papers in training set
Top 5%
2.6%
14
JCI Insight
277 papers in training set
Top 3%
2.3%
15
Heart Rhythm
23 papers in training set
Top 0.4%
1.7%
16
Communications Biology
993 papers in training set
Top 16%
1.7%
17
PLOS Biology
486 papers in training set
Top 8%
1.1%
18
The Journal of Physiology
150 papers in training set
Top 2%
1.1%
19
American Journal of Physiology-Heart and Circulatory Physiology
36 papers in training set
Top 0.9%
1.1%
20
Journal of Biological Chemistry
690 papers in training set
Top 7%
1.1%
21
Acta Physiologica
17 papers in training set
Top 0.3%
1.0%
22
Scientific Reports
3612 papers in training set
Top 75%
0.8%
23
Science Translational Medicine
127 papers in training set
Top 4%
0.8%
24
Science
477 papers in training set
Top 9%
0.8%
25
JACC: Basic to Translational Science
21 papers in training set
Top 1.0%
0.6%
26
Science Signaling
65 papers in training set
Top 2%
0.6%
27
Biophysical Journal
631 papers in training set
Top 5%
0.6%
28
Molecular Biology of the Cell
311 papers in training set
Top 4%
0.6%