Key result
Mannitol perfusion causes ~2-fold greater cardiac conduction slowing in Scn1b-deficient hearts versus wild type.
Why the study?
Reported conduction velocity values from optically mapped whole-heart preparations vary widely, suggesting analytical variability contributes to inconsistency in measurements and interpretation.
Does partial loss of Scn1b (beta-1 subunit) alter cardiac conduction and intercalated disc nanostructure under osmotic stress in a murine model?
Does partial loss of Scn1b (beta-1 subunit) alter cardiac conduction and intercalated disc nanostructure under osmotic stress in a murine model?
Absolute Event Rate: -9.7% vs -5%
p-value: p=<0.05
Heterozygous loss of the sodium channel beta-1 subunit (Scn1b) creates a latent cardiac conduction vulnerability that is unmasked by osmotic stress, suggesting a mechanism for context-dependent arrhythmias.
BACKGROUND Slowed cardiac conduction velocity (CV) is a substrate for arrhythmia. Reported CV values from optically mapped whole-heart preparations vary widely in the literature, suggesting that analytical variability may contribute to inconsistency. OBJECTIVE To determine how variation in vector inclusion criteria affects conduction velocity measurements and their interpretation, and to establish a principled, constraint-based approach for evaluating parameter sensitivity in the absence of ground truth. METHODS CV and anisotropic ratio (AR) were quantified from optically mapped, paced Langendorff-perfused guinea pig hearts under four interventions: time control (N = 7), gap junctional uncoupling (carbenoxolone, N = 5), sodium channel inhibition (flecainide, N = 7), and ephaptic disruption (mannitol, N = 5). A semi-automated algorithm evaluated 441 combinations of dilation and angle. Paired t-tests compare baseline and intervention values across parameter combinations. Inclusion criteria were applied to determine parameter combinations constrained by minimal processing errors and consistency with controls. RESULTS Manual analysis produced significant inter-analyst variability, whereas the semi-automated approach eliminated analyst dependence. Increasing dilation or angle increased transverse CV (CVT) and decreased longitudinal CV (CVL), often altering AR and affecting statistical significance of intervention effects. Parameter selection determined whether anisotropic conduction slowing was significant. Parameter combinations meeting inclusion criteria were identified which minimized processing errors, produced significant differences between intervention and control and eliminated analyst variability. CONCLUSION Vector inclusion parameters substantially influence reported conduction velocity and anisotropy, and can alter statistical conclusions. A constraint-based, parsimonious approach to parameter selection improves robustness and transparency without invoking optimization, providing a framework adaptable to other analytical workflows lacking ground truth.
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Maisonneuve et al. (2026) studied Concealed cardiac conduction phenotype (Scn1b haploinsufficiency). Mannitol (osmotic stress) vs. Wild-type (WT) mice was evaluated on Change in ex vivo cardiac conduction velocity (ΔCV) (p=<0.05). Perfusion with mannitol caused significantly greater conduction slowing in Scn1b+/- mouse hearts (-9.7 cm/s) compared to wild-type hearts (-5.0 cm/s), unmasking a latent conduction vulnerability under osmotic stress.
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