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Translational Physiology

Evaluation of changes in body composition and proinflammatory marker levels in ovariectomized rats with induced hyperthyroidism

, , , , , , , , , , & show all
Pages 99-107 | Received 25 Nov 2019, Accepted 03 Feb 2020, Published online: 24 Feb 2020
 

Abstract

We examined the effect of TSH-suppressive dose of LT4 on changes in body composition and proinflammatory markers in ovariectomized rats. Bilateral ovariectomy (OVX) and sham operations (Sham) were performed in female Sprague–Dawley rats at 7 weeks of age. Rats were divided as Sham (n = 6), Sham + LT4 (n = 6), OVX (n = 8), and OVX + LT4 (n = 8). Eight weeks after surgery, the body composition was analyzed using Dual energy X-ray Absorptiometry. The percentage of gain of fat mass and lean mass of whole body, body trunk and extremities were evaluated. Serum TSH, cholesterol, creatinine kinase (CK), C-reactive peptide, interleukin (IL)-1β, IL-4, IL-6, IL-10, monocyte chemoattractant protein-1 and tumor necrosis factor-α were compared among the four experimental groups. The middle third of soleus muscle was analyzed with cross-sectional area (CSA), Feret’s diameter (FD) and an area of interstitial space. A Kruskal–Wallis test was used and post-hoc analysis was performed using the GRAPHPAD PRISM (ver 8.0, GraphPad Software, Inc.) The fat mass, but not lean mass, was significantly increased in the OVX groups compared with Sham groups, regardless of LT4 treatment. CSA, FD and the area of interstitium were elevated in OVX groups and increased with LT4 treatment. OVX + LT4 group showed the most deteriorated muscle with the lowest serum level of CK and highest level of IL-6.

Acknowledgement

The levothyroxine sodium hydrate were generously provided by Bukwang Pharmaceutical (South Korea).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) [grant number NRF-2018R1D1A1B07050719] funded by the Korean Government (MSIT).