Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jul 13;106(8):e2887-e2899.
doi: 10.1210/clinem/dgab257.

Soluble Alpha Klotho in Acromegaly: Comparison With Traditional Markers of Disease Activity

Affiliations

Soluble Alpha Klotho in Acromegaly: Comparison With Traditional Markers of Disease Activity

Júnia R O L Schweizer et al. J Clin Endocrinol Metab. .

Abstract

Context: Soluble alpha klotho (sαKL) has been linked to growth hormone (GH) action, but systematic evaluation and comparisons with traditional biomarkers in acromegaly are lacking.

Objective: To evaluate the potential of sαKL to aid classification of disease activity.

Methods: This retrospective study at 2 academic centers included acromegaly patients before surgery (A, n = 29); after surgery (controlled, discordant, or uncontrolled) without (B1, B2, B3, n = 28, 11, 8); or with somatostatin analogue treatment (C1, C2, C3, n = 17, 11, 5); nonfunctioning pituitary adenomas (n = 20); and healthy controls (n = 31). sαKL was measured by immunoassay and compared with traditional biomarkers (random and nadir GH, insulin-like growth factor I [IGF-I], IGF binding protein 3). Associations with disease activity were assessed.

Results: sαKL was correlated to traditional biomarkers, particularly IGF-I (rs=0.80, P <0.0001). High concentrations before treatment (A, median, interquartile range: 4.04 × upper limit of normal [2.26-8.08]) dropped to normal after treatment in controlled and in most discordant patients. A cutoff of 1548 pg/mL for sαKL discriminated controlled (B1, C1) and uncontrolled (B3, C3) patients with 97.8% (88.4%-99.9%) sensitivity and 100% (77.1%-100%) specificity. sαKL was below the cutoff in 84% of the discordant subjects. In the remaining 16%, elevated sαKL and IGF-I persisted, despite normal random GH. Sex, age, body mass index, and markers of bone and calcium metabolism did not significantly affect sαKL concentrations.

Conclusion: Our data support sαKL as a biomarker to assess disease activity in acromegaly. sαKL exhibits close association with GH secretory status, large dynamic range, and robustness toward biological confounders. Its measurement could be helpful particularly when GH and IGF-I provide discrepant information.

Keywords: biomarkers; discordant; growth hormone; insulin-like growth factor I; insulin-like growth factor-binding protein 3.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
A, GHrandom concentrations (µg/L); B, IGF-I (× ULN); C, IGFBP-3 (× ULN); and D, sαKL (× ULN) represented by medians and interquartile range as well as minimum-maximum ranges in treatment-naïve patients with acromegaly before (A) and after surgery controlled without medication (B1), discordant (B2) and uncontrolled (B3) or on SSA controlled (C1), discordant (C2) and uncontrolled (C3), NFPA (D) and healthy controls (E). For reasons of readability, we only indicate the significance level one time if it was the same for different comparisons (* P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001). Abbreviations: GHrandom, random growth hormone; IGF-I, insulin-like growth factor I; IGFBP-3, insulin-like growth factor-binding protein 3; sαKL, soluble alpha klotho; ULN, upper limit of normal. We intentionally use an identical range and scale for the y-axis in B, C, and D to highlight the differences in the order of magnitude of the changes in the parameters. Graphs with optimized scales for each parameter are provided in Supplemental Fig. 2.
Figure 2.
Figure 2.
A, Correlation between IGF-I (µg/L) and GHrandom (µg/L) in all patients with acromegaly; rs= 0.67, P < 0.0001; B, Correlation between sαKL (pg/mL) and GHrandom (µg/L) in all patients with acromegaly; rs= 0.68, P < 0.0001; C, Correlation between sαKL (pg/mL) and IGF-I (µg/L) in all patients with acromegaly; rs= 0.80, P < 0.0001; D, Correlation between sαKL (pg/mL) and IGFBP-3 (µg/L) in all patients with acromegaly; rs = 0.72, P < 0.0001. Abbreviations: GHrandom, random growth hormone; IGF-I, insulin-like growth factor I; IGFBP-3, insulin-like growth factor-binding protein 3; sαKL, soluble alpha klotho.
Figure 3.
Figure 3.
A, GHrandom (µg/L); B, IGF-I (× ULN); C, sαKL (× ULN) and D, IGFBP-3 (× ULN) in patients with acromegaly (n = 11) before and after surgery. ** P < 0.01, **** P < 0.0001. Abbreviations: GHrandom, random growth hormone; IGF-I, insulin-like growth factor I; IGFBP-3, insulin-like growth factor-binding protein 3; sαKL, soluble alpha klotho; ULN, upper limit of normal. We intentionally use an identical range and scale for the y-axis in B, C, and D to highlight the differences in the order of magnitude of the changes in the parameters.
Figure 4.
Figure 4.
A, Soluble alpha klotho (sαKL) ROC curve: before surgery, treatment-naïve (A) vs healthy controls (E). Cutoff: 1641 pg/mL, AUC 0.98 (0.96-1.00), P < 0.0001. B, Soluble alpha klotho (sαKL) ROC curve: controlled (B1, C1) vs uncontrolled (B3, C3) acromegaly after surgery. Cutoff: 1548 pg/mL, AUC 0.99 (0.98-1.00), P < 0.0001. C, Soluble alpha klotho (sαKL) ROC curve: controlled acromegaly after surgery (B1, C1), NFPA (D) and healthy controls (E) vs uncontrolled patients before or after surgery (A, B3, C3). Cutoff: 1548 pg/mL, AUC 0.99 (0.98-1.00), P < 0.0001.

Similar articles

Cited by

References

    1. Giustina A, Barkhoudarian G, Beckers A, et al. . Multidisciplinary management of acromegaly: A consensus. Rev Endocr Metab Disord. 2020;21(4):667-678. - PMC - PubMed
    1. Petersenn S, Buchfelder M, Gerbert B, et al. ; Participants of the German Acromegaly Register . Age and sex as predictors of biochemical activity in acromegaly: analysis of 1485 patients from the German Acromegaly Register. Clin Endocrinol (Oxf). 2009;71(3):400-405. - PubMed
    1. Dekkers OM, Biermasz NR, Pereira AM, Romijn JA, Vandenbroucke JP. Mortality in acromegaly: a metaanalysis. J Clin Endocrinol Metab. 2008;93(1):61-67. - PubMed
    1. Gadelha MR, Kasuki L, Lim DS, Fleseriu M. Systemic complications of acromegaly and the impact of the current treatment landscape: an update. Endocr Rev. 2018;40(1):258-332. - PubMed
    1. Mazziotti G, Lania AGA, Canalis E. MANAGEMENT OF ENDOCRINE DISEASE: Bone disorders associated with acromegaly: mechanisms and treatment. Eur J Endocrinol. 2019;181(2):R45-R56. - PubMed

Publication types