Why the study?
The mechanisms driving the transition from physiological to hypertensive states remain incompletely understood, and complex pulsatile hemodynamics in salt-induced hypertension are not fully captured by conventional blood pressure metrics.
Does a 2-week high-salt diet alter arterial pressure waveform composition and reservoir-excess pressure balance differently in Dahl salt-sensitive (SS) rats compared to consomic SS.13BN rats?
Does a 2-week high-salt diet alter arterial pressure waveform composition and reservoir-excess pressure balance differently in Dahl salt-sensitive (SS) rats compared to consomic SS.13BN rats?
Answers are grounded in this paper and cite their sources.
Reservoir-excess pressure analysis in rat models reveals genetically determined, strain-specific differences in arterial reservoir function and excess pressure adaptation during salt-induced hypertension.
Background Hypertension remains a major global health burden, yet the mechanisms driving the transition from physiological to hypertensive states are incompletely understood. Salt-induced hypertension is characterized by progressive arterial remodeling and complex pulsatile hemodynamics not fully captured by conventional blood pressure metrics. Using Dahl salt-sensitive (SS) and SS.13BN rat models, we applied reservoir–excess pressure analysis (REPA), which separates arterial pressure into reservoir (Pr) and excess (Pxs) components to characterize biomechanical alterations in arterial pressure during hypertensive progression. Purpose We used REPA in Dahl SS and SS.13BN rat models to characterize strain-dependent alterations in pressure waveform composition and reservoir–excess pressure balance during salt-induced hypertensive transition. Methods In this retrospective secondary analysis, high-fidelity arterial pressure waveforms from adult Dahl salt-sensitive (SS, n=9) and consomic SS.13BN (n=6) rats were analyzed. Paired radiotelemetry recordings were originally obtained at steady state under low-salt (LS, 0.4% NaCl) conditions and after 2 weeks of high-salt (HS, 8.0% NaCl) diet. REPA was performed to decompose waveforms into reservoir (Pr) and excess (Pxs) components. Pressure-only wave intensity analysis (WIA) was used to quantify forward (FCW) and backward (BCW) compression waves and to calculate the wave reflection index (WRI = BCW/FCW), thereby assessing arterial wave energy transfer and distal impedance mismatch across dietary conditions. Results The high-salt (HS) diet significantly increased arterial pressures and REPA parameters in both strains, except for Pxs in consomic SS.13BN rats. Linear mixed-effects models demonstrated a significant strain × diet interaction for Pxs, with significant effects of diet (β = −1.445, 95% CI −1.913 to −0.977; p < 0.001) and strain (β = −1.699, 95% CI −2.481 to −0.918; p < 0.001), as well as a significant interaction term (β = 1.055, 95% CI 0.118 to 1.992; p = 0.037), demonstrating a more pronounced salt-induced increase in Pxs in Dahl SS rats compared with SS.13BN rats. Consistent with this, SS.13BN rats did not show a statistically significant change in Pxs between LS and HS conditions (3.94 [3.47–4.94] vs 5.24 [4.83–5.56]; p = 0.099) and exhibited higher IntPr/IntPxs ratios than Dahl SS rats when analyzed across both dietary conditions (p = 0.020), indicating a greater relative contribution of reservoir pressure to the pressure waveform in SS.13BN rats. Conclusions This animal-model analysis using REPA demonstrates strain-specific blood pressure responses to dietary salt. Reservoir pressure, reflecting arterial reservoir function, may capture genetically determined differences in hemodynamic adaptation to salt-induced hypertensive stress. These findings may inform targeted therapeutic strategies addressing the pathophysiological heterogeneity of hypertension.
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Alan et al. (2026) studied Salt-induced experimental hypertension (n=15). High-salt diet vs. Low-salt diet (0.4% NaCl) and strain comparison (Dahl SS vs SS.13BN) was evaluated on Excess pressure (Pxs) via reservoir-excess pressure analysis (strain × diet interaction) (β 1.055, 95% CI 0.118 to 1.992, p=0.037).
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