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Oliveira Longo Schweizer, Júnia Ribeiro de; Schilbach, Katharina ORCID logoORCID: https://orcid.org/0000-0002-8667-0296; Haenelt, Michael; Gagliardo, Anica; Peters, Annette ORCID logoORCID: https://orcid.org/0000-0001-6645-0985; Thorand, Barbara ORCID logoORCID: https://orcid.org/0000-0002-8416-6440; Störmann, Sylvère ORCID logoORCID: https://orcid.org/0000-0002-5465-3491; Schopohl, Jochen; Reincke, Martin ORCID logoORCID: https://orcid.org/0000-0002-9817-9875; Lauseker, Michael ORCID logoORCID: https://orcid.org/0000-0002-6662-7127 und Bidlingmaier, Martin ORCID logoORCID: https://orcid.org/0000-0002-4681-6668 (2025): Soluble alpha klotho—impact of biological variables and reference intervals for adults. In: European Journal of Endocrinology, Bd. 192, Nr. 5: S. 631-640 [PDF, 793kB]

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Abstract

Objective: Concentrations of soluble alpha klotho (sαKL) are higher in active acromegaly compared with healthy controls. However, reference intervals based on large population-based samples are lacking, and the impact of many biological variables is unclear.

Design: Cross-sectional study.

Methods: We measured sαKL concentrations in samples from an adult population (20-89 years, 435 males, 455 females). Associations with sex, age, body mass index, waist-hip-ratio, estimated glomerular filtration rate (eGFR), IGF-I and IGFBP 3, glucose-, lipid-, calcium- and liver-metabolism, fasting, and estrogen status were analyzed. Reference intervals were calculated using LMS quantile regression with a Box-Cox transformation to normality. We also analyzed sαKL in patients with non-functioning pituitary adenoma (NFPA, n = 18) and prolactinoma (n = 65).

Results: Across all ages, sαKL concentrations (pg/mL, median [interquartile ranges]) were slightly, but significantly higher in females compared with males (678 (537-859) vs. 651 (537-812), P = .01), suggesting an impact of estrogens. SαKL exhibited a weak negative correlation with age, and positive correlations with eGFR and IGF-I (P < .001 for both). Correlations to other biological factors including glucose, liver and calcium metabolism and duration of fasting were negligible (P > .05 for all). Compared with sαKL, IGF-I more often was correlated significantly to other biological variables. SαKL was not different in patients with NFPA, but slightly higher in patients with prolactinoma (P < .05).

Conclusion: Our findings suggest sαKL is a stable GH-sensitive biomarker that may be less impacted by biological variables compared with IGF-I and IGFBP 3. Our reference intervals will facilitate the potential use of sαKL in GH-related diseases.

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