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Sub-clinical triiodothyronine levels predict health, demographic, and socioeconomic outcomes

View ORCID ProfileRalph I. Lawton, Bernardo L. Sabatini, Daniel R. Hochbaum
doi: https://doi.org/10.1101/2023.03.09.531775
Ralph I. Lawton
1Harvard Medical School, Boston, MA, USA
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Bernardo L. Sabatini
1Harvard Medical School, Boston, MA, USA
2Department of Neurobiology, Harvard Medical School, Boston, MA, USA
3Howard Hughes Medical Institute, Chevy Chase, MD, USA
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Daniel R. Hochbaum
1Harvard Medical School, Boston, MA, USA
2Department of Neurobiology, Harvard Medical School, Boston, MA, USA
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  • For correspondence: daniel_hochbaum@hms.harvard.edu
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Abstract

The Hypothalamic-Pituitary-Thyroid (HPT) axis is fundamental to human biology, exerting central control over energy expenditure, metabolic rate, and body temperature. However, the consequences of “normal” physiologic HPT-axis variation in non-clinical populations are poorly understood. Using nationally-representative data from the 2007-2012 NHANES, we explore relationships with demographics, mortality, and socio-economic factors. We find much larger variation across age in free T3 than other HPT-axis hormones. T3 and T4 have opposite effects on mortality: free T3 is inversely related and free T4 is positively related with likelihood of death. Free T3 and household income are negatively related, particularly at lower incomes. Finally, free T3 among older adults is associated with labor both on the extensive margin (unemployment) and intensive margin (hours worked). Physiologic TSH/T4 explain only 1% of T3 variation, and neither are appreciably correlated to socio-economic outcomes. Taken together, our data suggest an unappreciated complexity and non-linearity of the HPT-axis signaling cascade broadly such that TSH and T4 may not be accurate surrogates of free T3. Furthermore, we find that sub-clinical variation in the HPT-axis effector hormone T3 is an important and overlooked factor linking socio-economic forces, human biology, and aging.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding: This work was supported by the Burroughs Wellcome Fund Career at Scientific Interface award (DRH), the Howard Hughes Medical Institute (BLS), the National Institute of Aging T32AG51108 (RIL), and the National Institute of General Medical Sciences T32GM144273 (RIL). The content is solely the responsibility of the authors. It does not necessarily represent the official views of the National Institute of General Medical Sciences or the National Institutes of Health.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 13, 2023.
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Sub-clinical triiodothyronine levels predict health, demographic, and socioeconomic outcomes
Ralph I. Lawton, Bernardo L. Sabatini, Daniel R. Hochbaum
bioRxiv 2023.03.09.531775; doi: https://doi.org/10.1101/2023.03.09.531775
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Sub-clinical triiodothyronine levels predict health, demographic, and socioeconomic outcomes
Ralph I. Lawton, Bernardo L. Sabatini, Daniel R. Hochbaum
bioRxiv 2023.03.09.531775; doi: https://doi.org/10.1101/2023.03.09.531775

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