Cushing's syndrome (CS), characterized by chronic endogenous hypercortisolism and disruption of the normal circadian cortisol rhythm, represents a unique human model for investigating the interplay between stress endocrinology and biological aging. Glucocorticoid excess drives multiple convergent aging pathways: it suppresses telomerase activity and may accelerate telomere attrition, induces durable epigenetic remodeling, including hypomethylation of stress-responsive genes such as FKBP5, TET-mediated DNA hydroxymethylation changes, and broad dysregulation of circadian clock loci, and promotes telomere-independent senescence through mitochondrial dysfunction, oxidative stress, and cytokine-driven inflammation. These observations underpin a proposed dual-pathway model of glucocorticoid-accelerated aging, in which direct telomerase suppression and indirect epigenomic remodeling converge on common hallmarks of cellular senescence. However, clinical evidence remains heterogeneous and inconclusive: studies of leukocyte telomere length in CS report discrepant results attributable to assay platform differences, failure to correct for glucocorticoid-induced lymphopenia, small sample sizes, and predominant reliance on cross-sectional designs. Epigenetic clocks capable of quantifying biological age acceleration, particularly second-generation tools such as GrimAge and DunedinPACE, have not yet been applied to CS cohorts, representing a critical evidence gap. Furthermore, virtually all molecular aging measurements in CS have been performed in peripheral blood, leaving the causal chain from glucocorticoid excess to organ-level aging and excess mortality empirically unproven. Rather than a definitive null result, this paradox reveals that CS is an underexplored natural experiment: the syndrome's defined onset, quantifiable cortisol exposure, and surgically curable course offer a unique before-after design for testing whether stress-induced endocrine disruption genuinely accelerates biological aging through telomere and epigenetic mechanisms.
Silveira et al. (Mon,) studied this question.