Evidence map›Paper›PMID 42876832›Full record

ArticleFrontiers in endocrinology2026

Diabetes in Cushing's disease: age, hypercortisolism, central adiposity, and β-cell stress as determinants of glycaemia.

Przemysław Witek, Jakub Kwiatkowski, Joanna Witek, Katarzyna Szamotulska, Grzegorz Zieliński

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Przemysław WitekDepartment of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland.
Jakub KwiatkowskiDepartment of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland.
Joanna WitekDepartment of Diabetology, Institute of Mother and Child, Warsaw, Poland.
Katarzyna SzamotulskaDepartment of Epidemiology and Biostatistics, Institute of Mother and Child, Warsaw, Poland.
Grzegorz ZielińskiDepartment of Neurosurgery, Military Institute of Medicine, National Research Institute, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diabetes is a frequent complication of Cushing's disease, but metabolic differences between normal glucose tolerance, prediabetes, and diabetes remain incompletely characterised. We aimed to characterise glucose metabolism across these groups, assess abnormalities in patients with normal glucose tolerance, and identify clinical, hormonal, and body-composition factors associated with glycaemia. Design: Cross-sectional analysis of a prospective cohort with matched healthy controls. Material and methods: The study included 50 patients with Cushing's disease and 52 age- and sex-matched healthy controls who underwent detailed metabolic phenotyping, including multi-timepoint oral glucose tolerance testing with assessment of insulin sensitivity and β-cell compensatory function, and body composition analysis by dual-energy X-ray absorptiometry. Forward stepwise linear regression was performed separately in each group to identify variables independently associated with HbA1c. Results: Glucose metabolism disturbances affected 68% of patients with Cushing's disease, including prediabetes in 42% and diabetes in 26%, with most diabetes cases previously undiagnosed. Even patients with normal glucose tolerance showed lower insulin sensitivity and enhanced β-cell secretory activity compared with healthy controls. Prediabetes was characterised mainly by lower insulin sensitivity with preserved β-cell compensation, whereas diabetes was associated with a reduced insulin-to-glucose AUC ratio without significantly lower insulin sensitivity than in prediabetes. In Cushing's disease, age, morning cortisol, waist-to-hip ratio, and proinsulin were independently associated with HbA1c, explaining 59.5% of its variance; in controls, only age and BMI were associated with HbA1c. BMI was not significantly correlated with HbA1c in Cushing's disease, whereas trunk fat percentage was positively associated with HbA1c. Conclusions: In Cushing's disease, reduced insulin sensitivity with preserved β-cell compensation is detectable even in patients with normal glucose tolerance, whereas overt diabetes is characterised by impaired β-cell compensation without significantly lower insulin sensitivity than in prediabetes. Age, morning cortisol, waist-to-hip ratio, and proinsulin are independently associated with HbA1c. Central fat distribution may be more closely related to glycaemia than BMI.

Indexed as

AdiposityBlood GlucoseCushing SyndromeDiabetes MellitusInsulin-Secreting CellsObesity, AbdominalPituitary ACTH HypersecretionPrediabetic StateAdultAge FactorsCase-Control StudiesCross-Sectional StudiesFemaleGlucose Tolerance TestHumansInsulin ResistanceBlood GlucoseBMIbody compositionCushing’s diseasediabetesHbA1cinsulin resistancemetabolism

Identifiers

PMID42876832
PMCPMC13662288

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.