Schütten · JCI insight 2020 · randomized double-blind crossover trial · n=40

Glucocorticoids affect metabolic but not muscle microvascular insulin sensitivity following high versus low salt intake.

Cited 16 times in the scientific literature.

Level 2 - randomized trial

Randomized, double-blind, crossover clinical trial.

PubMed 32107343 · doi:10.1172/jci.insight.127530 · record verified 2026-08-27

What was done

In 20 lean and 20 abdominally obese individuals, researchers compared the effects of 7-day low-salt versus high-salt diets using a randomized, double-blind, crossover design. They measured 24-hour mean arterial pressure (MAP via ambulatory monitoring), insulin-mediated whole-body glucose disposal (M/I value via hyperinsulinemic-euglycemic clamp), insulin-mediated muscle microvascular recruitment (IMMR via contrast-enhanced ultrasound), osmolyte/water balance, and urinary excretion of glucocorticoids, mineralocorticoids, and amino and organic acids.

What was found

Compared with high-salt intake, low-salt intake resulted in lower MAP, lower M/I values (lower whole-body glucose disposal), and greater IMMR across both lean and abdominally obese participants (exact quantitative values are not reported in the abstract). Log IMMR was inversely associated with MAP only in lean participants on the low-salt diet. High-salt intake decreased free water clearance and increased urinary excretion of glucocorticoids and amino acids involved in the urea cycle.

Why it matters

These findings suggest that salt-induced changes in hemodynamics and insulin sensitivity are uncoupled, supporting the model that high salt intake stimulates glucocorticoid-driven muscle catabolism and glucose uptake to support urea generation for renal water conservation.

Limits

The study is limited by a small sample size (n = 40 total) and a short intervention window (7 days per phase), precluding assessment of long-term metabolic or cardiovascular outcomes. The abstract provides directional findings but lacks exact numerical values, effect sizes, confidence intervals, or statistical p-values.

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