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ArticleAuthors
Gluvic, Zoran MObradovic, Milan M
Sudar-Milovanovic, Emina M
Zafirovic, Sonja S
Radak, Djordje J
Essack, Magbubah M
Bajic, Vladimir B.

Gojobori, Takashi

Isenovic, Esma R
KAUST Department
Applied Mathematics and Computational Science ProgramBiological and Environmental Sciences and Engineering (BESE) Division
Bioscience Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
KAUST Grant Number
BAS/1/1606-01-01FCC/1/1976-17-01
Date
2020-01-24Online Publication Date
2020-01-24Print Publication Date
2020-04Submitted Date
2019-10-25Permanent link to this record
http://hdl.handle.net/10754/661349
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Show full item recordAbstract
Hypothyroidism is a common endocrine disorder that predominantly occurs in females. It is associated with an increased risk of cardiovascular diseases (CVD), but the molecular mechanism is not known. Disturbance in lipid metabolism, the regulation of oxidative stress, and inflammation characterize the progression of subclinical hypothyroidism. The initiation and progression of endothelial dysfunction also exhibit these changes, which is the initial step in developing CVD. Animal and human studies highlight the critical role of nitric oxide (NO) as a reliable biomarker for cardiovascular risk in subclinical and clinical hypothyroidism. In this review, we summarize the recent literature findings associated with NO production by the thyroid hormones in both physiological and pathophysiological conditions. We also discuss the levothyroxine treatment effect on serum NO levels in hypothyroid patients.Citation
Gluvic, Z. M., Obradovic, M. M., Sudar-Milovanovic, E. M., Zafirovic, S. S., Radak, D. J., Essack, M. M., … Isenovic, E. R. (2020). Regulation of nitric oxide production in hypothyroidism. Biomedicine & Pharmacotherapy, 124, 109881. doi:10.1016/j.biopha.2020.109881Sponsors
This work is part of the collaboration between the Laboratory of Radiobiology and Molecular Genetics, Vinca Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia and King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, Saudi Arabia. This work has been supported by grants No. 173033 (E.R.I.) and No. 41002 (Dj.R.) from the Ministry of Education, Science and Technological Development, Republic of Serbia and by the KAUST grant OSR#<GN2>4</GN2>129 (to E.R.I. and V.B.B.), which also supported E.R.I., M.O., S.Z., and E.S.M. V.B.B. and T.G. has been supported by the KAUST Base Research FundsBAS/1/1606-01-01 and BAS/1/1059-01-01, respectively, while M.E. have been supported by the KAUST Office of Sponsored Research (OSR) grant no. FCC/1/1976-17-01.Publisher
Elsevier BVJournal
Biomedicine & PharmacotherapyAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0753332220300718ae974a485f413a2113503eed53cd6c53
10.1016/j.biopha.2020.109881
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