Higher Parametric Thyroid Feedback Quantile-based Index is a predictor of type 2 diabetes in a German population sample

Laclaustra, Martin (Universidad de Zaragoza) ; Alonso-Ventura, Vanesa (Universidad de Zaragoza) ; Schipf, Sabine ; Lou-Bonafonte, Jose Manuel (Universidad de Zaragoza) ; Dörr, Marcus ; Trincado-Aznar, Pablo ; Völzke, Henry ; Nauck, Matthias ; Civeira, Fernando (Universidad de Zaragoza) ; Ittermann, Till

Resumen: Background
Type 2 diabetes has been described to be associated with hypothyroidism but we recently found that a decrease in pituitary sensitivity to thyroid hormone is associated with diabetes, obesity, and the metabolic syndrome. We aim to assess the longitudinal nature of this association in the population-based Study of Health in Pomerania(SHIP) in Germany.
Materials and Method
77% of a population-based sample of 4308 participants between 20 and 79 years was followed for 5 years. We studied 2542 participants without diabetes or thyroid medication at baseline and complete data in the variables of interest. Data of baseline thyroxine(fT4) and thyrotropin(TSH) were used to calculate the Parametric Thyroid Feedback Quantile-based Index(PTFQI), which measures whether TSH remains elevated despite fT4 being high. It uses the average population response as reference. PTFQI association with incidence of type 2 diabetes over 5 years was estimated with Poisson regression models adjusted for age, sex, and body mass index(BMI).
Results
Compared with the 1st PTFQI quartile, Incidence Rate Ratios (IRR) for diabetes were 1.54(95% CI 0.97 to 2.46), 1.55(0.94 to 2.57), and 1.97(1.27 to 3.10) for the upper quartiles (p-trend=0.004) after adjusting for age and sex. The association remained statistically significant after additionally adjusting for BMI: 1.64(1.05 to 2.59) for the 4th vs the 1st quartile (p-trend=0.043).
Conclusions
An elevation of the pituitary TSH-inhibition threshold is associated with incident type 2 diabetes independently of BMI. The PTFQI might have clinical potential for prognosis and metabolic status monitoring.

Idioma: Inglés

DOI: 10.1210/clinem/dgae110

Año: 2024

Publicado en: JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM 109, 12 (2024), e2205–e2213
ISSN: 0021-972X

Factor impacto JCR: 5.1 (2024)

Categ. JCR: ENDOCRINOLOGY & METABOLISM rank: 36 / 191 = 0.188 (2024) - Q1 - T1

Factor impacto SCIMAGO: 2.183 - Biochemistry (Q1) - Biochemistry (medical) (Q1) - Medicine (miscellaneous) (Q1) - Endocrinology, Diabetes and Metabolism (Q1) - Clinical Biochemistry (Q1) - Endocrinology (Q1)

Financiación: info:eu-repo/grantAgreement/ES/ISCIII/FIS/PI19-00020

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Fisiología (Dpto. Farmac.Fisiol.y Med.L.F.)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)