Low Blood Levels of Selenium, Selenoprotein P and GPx3 are Associated with Accelerated Biological Aging: Results from the Berlin Aging Study II (BASE-II)

Abstract

Introduction Biological age reflects inter-individual differences in biological function and capacity beyond chronological age. Biological age can be estimated by DNA methylation age (DNAmA) and its deviation from chronological age, DNAmA acceleration (DNAmAA). Low levels of serum selenium, selenoprotein P (SELENOP), and the selenocysteine-containing glutathione peroxidase 3 (GPx3) are associated with adverse health outcomes and selenium supplementation is discussed as an anti-aging intervention. Methods In this study we analyzed 1,568 older participants from the Berlin Aging Study II (mean age +/- SD: 68.8 +/- 3.7 years, 51% women). DNAmA was estimated from genome-wide DNA methylation data using the Horvath, GrimAge, and DunedinPACE algorithms. Serum selenium levels were measured by total reflection X-ray fluorescence (TXRF) spectroscopy. SELENOP was measured by ELISA and GPx3 was derived from a larger set of mass spectrometry proteomics data. Results Participants with deficient serum selenium levels (<90μg/L) had a higher rate of biological aging (DunedinPACE, p=0.01, n=865). This association remained statistically significant after adjustment for age, sex, BMI, smoking, and genetic ancestry (β=-0.02, SE=0.01, 95%CI: -0.034 to -0.004, n=757). Compared to the highest quartile, participants in the lowest quartile of SELENOP levels showed an accelerated biological aging rate (DunedinPACE, β=-0.03, SE=0.01, 95%CI: -0.051 to -0.008, n=740, fully adjusted model). Similarly, after adjustment for covariates, accelerated biological age was found in participants within the lowest GPx3 quartile compared to participants in the fourth quartile (DunedinPACE, p=<0.001 and GrimAge, p<0.001). Conclusion Our study suggests that low levels of selenium biomarkers are associated with accelerated biological aging measured as DNAmA. This effect was not substantially changed after adjustment for known covariates.

Competing Interest Statement

LS holds shares of selenOmed GmbH, a company involved in Se status assessment; no other relationships or activities that could appear to have influenced the submitted work are indicated. Other authors: none.

Funding Statement

This work was supported by grants of the Deutsche Forschungsgemeinschaft (grant number 460683900 to ID and LB, and CRC/TR 296 "LocoTact" to LS), the ERC (as part of the "Lifebrain" project to LB), and the Cure Alzheimer's Fund (as part of the "CIR-CUITS" consortium to LB), the German Federal Ministry of Education and Research as part of the National Research Initiative 'Mass Spectrometry in Systems Medicine' (MSCoreSys), under grant agreement number 01EP2201 (to MR) and 16LW0239K (to MM), the Berlin University Alliance (BUA Link Lab, 501_Massenspektrometrie, 501_Linklab), as well as the German Cancer Consortium (DKTK) under grant BE01 1020000483 (to MR). C.M.L. was supported by the Heisenberg program of the German Research Foundation (DFG; LI 2654/4-1). This article uses data from the Berlin Aging Study II (BASE-II). BASE-II was supported by the German Federal Ministry of Education and Research under grant numbers #01UW0808; #16SV5536K, #16SV5537, #16SV5538, #16SV5837, #01GL1716A, and #01GL1716B.

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The Ethics Committee of the Charite - Universitaetsmedizin Berlin gave ethical approval for tis work (approval numbers EA2/029/09 and EA2/144/16).

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Data Availability

Due to concerns for participant privacy, data are available only upon reasonable request. Please contact Ludmila Mueller, scientific coordinator, at lmueller@mpib-berlin.mpg.de, for additional information.

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