Differential prolactin levels among male and female patients with thyroid related complains in the Hail regions of Saudi Arabia

Thyroid diseases are caused by autoimmunity due to hormone imbalance both in male and female patients. Therefore, it is of acute importance to measure, analyze and compare thyroid hormone levels among populations with thyroid-related complications. Hence, we examined 202 male and female thyroid pati...

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Published in:Bioinformation Vol. 15; no. 9; pp. 633 - 639
Main Authors: Ahmed, Gamal Mohamed Elawad, Alcantara, Jerold Casem, Alharbi, Samir Abdulkarim, Alshammari, Waled Mansi, Alshammari, Fawaz Dabae, Elnaem, Ibtihag Siddig, Hassan, Abdelmuhsin Omer Ahmed, Alrashedi, Khalid Sowilih, Tayyar, Ahmed Abdulaziz Al, Alreshidi, Turky Ali K
Format: Journal Article
Language:English
Published: Singapore Biomedical Informatics 01-09-2019
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Summary:Thyroid diseases are caused by autoimmunity due to hormone imbalance both in male and female patients. Therefore, it is of acute importance to measure, analyze and compare thyroid hormone levels among populations with thyroid-related complications. Hence, we examined 202 male and female thyroid patients in the Hail regions of Saudi Arabia and estimated their hormone levels. Blood samples were collected from patients and processed for the hormonal profiling such as prolactin, luteinizing hormone (LH), FSH, free T3 (FT3), free T4 (FT4) and TSH3. Further, measurement of thyroid gland size in the Hail population was also completed. Results of our study showed a significant difference in the level of prolactin between male and female patients. Other hormones are namely luteinizing hormone (LH), FSH, free T3 (FT3), free T4 (FT4), TSH3 did not show any significant difference between male and female patients with thyroid disorder. Thus, the levels of the majority of hormones, namely luteinizing hormone (LH), FSH, free T3 (FT3), free T4 (FT4), and TSH3, except prolactin, did not differ significantly between male and female thyroid patients. Validation of the observation using large scale population size is warranted in future investigations.
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ISSN:0973-2063
0973-8894
0973-2063
DOI:10.6026/97320630015633