Normal levels of TSH affect the metabolic profile differently in physically active males and females

Normal levels of TSH affect the metabolic profile differently in physically active males and females | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Help Center Sign In Submit a Preprint Cite Share Download PDF Research article Normal levels of TSH affect the metabolic profile differently in physically active males and females Marzena Malara, Joanna Tkaczyk, Anna Kęska, Grażyna Lutosławska This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.2.20664/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Jan, 2021 Read the published version in Central European Journal of Sport Sciences and Medicine → Version 1 posted You are reading this latest preprint version Abstract Background Our study was aimed at the evaluation of relationships between thyroid stimulating hormone (TSH) within the normal range and metabolic risk factors (glucose, insulin, HOMA-IR and lipoprotein profile) in physically active male and female students. Methods In 112 male and 107 female students circulating TSH, glucose, insulin and lipoproteins (triacylglycerols, total cholesterol, HDL-cholesterol and LDL-cholesterol) were measured in blood under fasting conditions. Insulin resistance was expressed as HOMA-IR. For further procedures 99 males and 97 regularly menstruating females with TSH 0.4 – 4.0 µIU/ml were accepted. Results In male students no correlations between circulating TSH, anthropometric and biochemical variables were noted. In females TSH within the normal range was slightly but significantly correlated with the triglyceride (TG) level (p<0.03). However, step-wise multiple regression analysis revealed that the effect of TSH was small (p<0.046) in relation to that found for HOMA-IR (p<0.0009). No relationships between biochemical variables and normal levels of TSH were noted in male students. However, surprisingly normal range TSH in males was slightly but significantly correlated with the percentage of body fat and this issue needs further studies concerning measurements of different fat depots. Conclusions The above data suggests that in active females TG synthesis and export from the liver is more sensitive to TSH action than in active male counterparts. Endocrinology & Metabolism normal range TSH glucose insulin HOMA-IR lipoproteins Figures Figure 1 Background Numerous studies have shown that variability in circulating TSH within the normal range affects circulating lipids [ 1 , 2 ]. However, this issue was studied mostly in middle-aged and older adults as a consequence of increased thyroid gland disease with age [ 3 , 4 ]. Data concerning metabolic effects of variability in normal level circulating TSH in young adults are scarce and their results are interpreted for combined male and female participants [ 5 , 6 ]. On the other hand, it is well documented that sex hormones significantly contribute to the regulation of thyroid function due to functional associations between the hypothalamic-pituitary-thyroid axis (HPT) and the hypothalamic – pituitary gonadal axis (HPG) at least in part due to estrogen and androgen receptor expression in thyroid glands [ 7 , 8 ]. Thus, the above data suggest that studies concerning TSH effects on metabolic processes have to be interpreted separately in males and females due to differences in sex hormone status. Additionally, many data have provided discordant results concerning associations of circulating TSH and physical activity. In young men both no changes and significant elevation in circulating TSH were noted immediately after maximal aerobic exercise [ 9 – 11 ]. In addition it was shown that long term exercise may have different impacts on TSH levels than an acute exercise program [ 12 ]. However, no changes in circulating TSH were observed in elite athletes who underwent regular training [ 13 – 15 ]. With this background in mind our study was undertaken and was aimed at evaluation of relationships between circulating TSH within the normal range with metabolic risk factors (glucose, insulin, lipoproteins) separately in male and female physical education students engaged in regular physical activity due to their studies. In 112 male and 107 female students circulating TSH, glucose, insulin and lipoproteins were measured in blood under fasting conditions. For further procedures exclusively those with TSH 0.4–4.0 µIU/ml were selected. Methods Subjects Physical education students were recruited by word of mouth and advertisements in student dormitories. Exclusively regularly physically active healthy non-smokers not taking supplements on a regular basis were accepted. None of them were high-performance athletes, however, all volunteers had been active for at least 3 months and were engaged in different forms of physical activity due to their study program (gymnastics, swimming, basketball, dance for 6 hours/week). Finally 112 males and 148 females were accepted and underwent further procedures. All 148 female students were asked about oral contraceptive (OC) use and 25 OC users were excluded from the study. Thus 123 females were asked to provide information concerning menstrual cycle regularity. In consequence exclusively 107 females with cycle length 21-35 days were accepted for participation [16]. All participants provided written consent for participation in the study and the study protocol was accepted by the local Ethics Commission. Anthropometry In 112 male and 107 female subjects mass and height were determined in barefooted participants wearing light clothes using standard medical equipment. The precision of body mass and height determination was 0.1 kg and 0.1 cm, respectively. Body fatness was determined using measurements of 4 skinfolds (biceps, triceps, suprailiac and subscapular) with Harpenden caliper ( British Indicators, Burges HILL, UK) and calculated according to Durnin and Womersley [17]. All measurements were done twice by a trained technician and in the case of discrepancy were repeated for the third time. Lean body mass (LBM) was also calculated. Biochemical analysis A total of 112 males and 107 females were accepted for blood analysis. All subjects were asked to refrain from physical activity for at least 8 h and to eat their last meal at least 12 h before blood withdrawal. Blood was taken under aseptic conditions into plastic tubes with anticoagulant and centrifuged 15 min to obtain plasma which was stored at – 70 0 C until analysis. Plasma glucose was determined using the GOD-PAP method. Triacylglycerols (TG), total cholesterol (TC) and HDL-cholesterol (HDL-C) were assayed with colorimetric methods and commercial kits (Randox Laboratories, UK). Coefficients of variation for all variables did not exceed 5%. The plasma concentration of LDL-cholesterol (LDL-C) was calculated according to the Friedewald formula [18]. Plasma insulin was measured using a standard radioimmunoassay (RIA) with human monoclonal antibodies against insulin and commercial kits (BioSource, Belgium). Inter- and intra-assay coefficients of variation for insulin determination did not exceed 7%. All measurements were done in duplicate. Insulin resistance index (HOMA-IR) was calculated according to the Mathews et al. formula [19]: HOMA-IR = [glucose (mmol/L) x insulin (µIU/ml)] /22.5. Subjects’ classification according to normal plasma TSH Circulating thyroid hormone (TSH) was assayed using a standard immunoassay method (RIA) and commercial kits (BioSource (Belgium) Inter- and intra- assay coefficients of variation for TSH determination did not exceed 7%. The results of circulating TSH were used to identify subjects with normal circulating hormone TSH levels established between 0.4 – 4.0 µIU/ml according to Pearce et al. [20]. In consequence, a total of 99 males and 97 regularly menstruating females participated in the analysis of TSH relationship with other metabolic variables (glucose, insulin, HOMA-IR and lipoproteins) (Fig. 1). Statistical analysis Data were tested for normality using the Shapiro-Wilk test. The differences between male and female students were evaluated using the Mann-Whitney test. In both male and female students Pearson’s correlation was used to test the association between TSH and other variables. In addition, in females step-wise regression analysis was performed to determine the contribution of TSH to the variability of the TG plasma levels. Both analyses were performed for logarithmically transformed data (base 10). Descriptive statistics are presented as mean ± SD. Significance of differences was established at p<0.05. All calculations were performed using STATISTCA for Windows, v.12.0 (Stat Soft, USA). Results Body composition and metabolic variables in male and female participants with normal TSH are presented in Table 1 with males with significantly higher body mass, body height but lower percentage of body fat in comparison with females (p < 0.001 for all variables). Females were characterized by significantly higher circulating insulin vs. males (p < 0.001) In consequence, HOMA-IR in females was markedly higher in comparison with males (1.480 vs. 1.128, p < 0.005). There were no sex-related differences in plasma levels of TG, TC and LDL-C. However, circulating HDL-C in females was higher by 28.5% than in males (p < 0.001). In male students a slight, but significant correlation was found between circulating TSH and the percentage of body fat (p < 0.03) but no correlations of TSH with biochemical variables were noted ( Table 2 ) . On the contrary, in female students circulating TSH was not related to the percentage of body fat but a slight and significant correlation was noted with plasma TG (p < 0.03) Table 1 Anthropometric and biochemical characteristics of physically active male and female students with normal TSH levels (0.4–4.0 µIU/ml). Variables Males (n = 99) Females (n = 97) Age (years) 21.1 ± 2.1 21.1 ± 1.5 Weight (kg) 78.4 ± 10.0 62.2 ± 8.5 a Height (cm) 182.0 ± 6.7 167.9 ± 5.7 a Fat (%) 11.6 ± 4.8 25.2 ± 5.2 a Fat (kg) 9.1 ± 4.7 15.7 ± 6.0 a LBM (kg) ^ 69.3 ± 7.7 46.5 ± 4.1 a TSH (µIU/ml) # 2.3 ± 0.8 2.2 ± 0.8 Glucose (mmol/L) 4.7 ± 0.3 4.5 ± 0.3 a Insulin (µIU/ml) 5.4 ± 2.4 7.4 ± 4.8 a HOMA-IR 1.128 ± 0.535 1.480 ± 0.932 b TG (mmol/L) 0.9 ± 0.4 0.8 ± 0.3 TC (mmol/L) 4.3 ± 0.8 4.4 ± 0.6 HDL-C (mmol/L) 1.4 ± 0.3 1.8 ± 0.3 a LDL-C (mmol/L) 2.2 ± 0.6 2.2 ± 0.6 ^ LBM – lean body mass; # TSH-thyroid stimulating hormone; HOMA-IR – insulin resistance; TG – triacylglycerols; TC – total cholesterol; HDL-C – HDL-cholesterol; LDL-C – LDL-cholesterol; a P < 0.001; b P < 0.005 - significantly higher vs. males; Table 2 Pearson’s correlation coefficients between normal TSH level, anthropometry and biochemical variables in active male and female students. Variables Males (n = 99) Females (n = 97) Fat (%) 0.226 a 0.002 Glucose (mmol/L) − 0.020 0.090 Insulin (µIU/ml) 0.040 0.105 HOMA-IR 0.001 0.113 TG (mmol/L) -0.120 0.230 a TC (mmol/L) − 0.040 0.001 HDL-C (mmol/L) 0.080 0.178 LDL-C (mmol/L) -0.050 -0.150 Abbreviations: see Table 1 ; * all data were logarithmically transformed (base 10) before calculation; a P < 0.030 In females step-wise multiple regression analysis revealed that circulating TG was positively and significantly correlated with HOMA-IR (p = 0.0002) with slight but significant contribution of plasma TSH to the variability of TG (p = 0.046) ( Table 3 ) . In the case of male students all data were excluded from step-wise multiple regression model. Table 3 Step-wise multiple regression analysis for the relationship between TG and HDL-C with TSH and HOMA-IR in active female students with normal TSH levels. Dependent variable Independent variables ß SD t p TG * HOMA-IR 0.359 0.094 3.820 0.0002 TSH 0.189 0.094 2.017 0.046 Corrected R 2 = 0.162, F (2.94) = 10.338, p < 0.00009 For abbreviations – see Table 1 ; * - all data were logarithmically transformed before analysis (base 10) Discussion The most important finding of our study indicated that active female subjects differ in respect to the relationship between normal level TSH with circulating TG vs. their male counterparts. This is in agreement with other data indicating a direct effect of thyroid hormones on hepatic lipid metabolism [ 21 , 22 ]. In addition there are data which noted that in middle age subjects TG efflux from the liver is to a greater extent stimulated by TSH in females than in males [ 23 ]. However, multiple regression analysis indicated that TSH contribution is close to the limit of significance, with powerful contribution of insulin resistance expressed as HOMA-IR. It is well documented that TG synthesis in the liver is markedly stimulated in response to elevated insulin resistance [ 24 , 25 ]. Thus, it could be postulated that in active females the role of insulin resistance in the regulation of circulating TG is more pronounced than that of blood TSH within the normal range. On the other hand, it could be tentatively postulated that the effect of TSH on TG will be more pronounced with an increase in its plasma level observed with age in both sexes [ 26 , 27 ]. In this context the role of TG in the development of cardiovascular disease in women has to be taken into consideration [ 28 , 29 ]. Interestingly, data for active male students did not demonstrate any relationship between circulating normal range TSH with TG. Thus it could be suggested that different steps of TG metabolism in active males are less sensitive to variability of TSH within the normal range. Surprisingly, a slight but significant associations of TSH with the percentage of body fat was found exclusively in male students, thus in subjects with significantly lower fatness vs. their female counterparts. The reason for this finding could be only speculated and further studies are needed concerning regional fat distribution (e.g. visceral and/or epicardial) in both active males and females in the context of normal circulating TSH [ 30 – 32 ]. Conclusions In summary, our study indicated that circulating TG in physically active females is more sensitive to variability in TSH within the normal range in comparison with their male counterparts. However, the contribution of TSH although significant is much lower than that of insulin resistance expressed as HOMA-IR. According to our best knowledge this study is the first which focused on the effect of normal TSH levels on the metabolic profile in young, active participants of both sexes. However, the limitations of our study have to be underlined and are focused on the lack of the determination of adipokines (e.g. leptin and adiponectin) but also of the adipo-myokine irisin which possibly affect circulating TSH and whose levels differ with respect to sex. Moreover, it seems that in males more precise determination of body fat is of importance. declarations Abbreviations HOMA-IR: Homeostasis model assessment for insulin resistance. Ethics approval and consent to participate Ethical clearance was obtained from the Bioethical Commission of University of Physical Education in Warsaw (2015 year). Also, informed written consent was obtained from all participants after explaining the purpose of the study, importance of their contribution as well as the right to refuse participation. All the information gathered was kept confidential. Consent for publication Not applicable. Availability of data and material The datasets during the current study available from the corresponding author on reasonable request. Competing interests Authors declare no conflict of interests. Funding This study was partially supported by the Grant DS-230 from the University of Physical Education in Warsaw. Role the funder: obtaining funds for biochemical analysis. Authors' contributions MM, GL: conception or design of the work, data analysis and interpretation and drafting the article. AK, JT: data collection. All authors read and approved the final manuscript. Acknowledgements We express our thanks to all students participating in the study. References 1. Asvold BO, Vatten LJ, Nilsen TI, Bjøro T. The association between TSH within the reference range and serum lipid concentrations in a population-based study. The HUNT Study. Eur J Endocrinol. 2007;156:181–6. 2. Lee J, Ha J, Jo K, Lim DJ, Lee JM, Chang SA, et al. High normal range of free thyroxine is associated with decreased triglycerides and with increased high-density lipoprotein cholesterol based on population representative data. J Clin Med. 2019;8:758. 3. Chen Y, Chen Y, Wang N, Chen C, Nie X, Li Q, et al. Thyroid stimulating hormone within the reference range is associated with visceral adiposity index and lipid accumulation product: A population-based study of SPECT-China. Horm Metab Res. 2018;50:29–36. 4. Lo Sasso B, Vidali M, Scazzone C, Agnello L, Ciaccio M. Reference interval by the indirect approach of serum thyrotropin (TSH) in a Mediterranean adult population and the association with age and gender. Clin Chem Lab Med. 2019;57:1587–94. 5. Joseph N, Chettuvatti K, Yadav H, Bharadwaj H, Kotian SM. Assessment of risk of metabolic syndrome and cardio vascular diseases among medical students in India. Journal of Cardiovascular Disease Research. 2017;8:89–95. 6. 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A renewed focus on the association between thyroid hormones and lipid metabolism. Front Endocrinol. 2018;9:511. 23. Tognini S, Polini A, Pasqualetti G, Ursino S, Caraccio N, Ferdeghini M, et al. Age and gender substantially influence the relationship between thyroid status and the lipoprotein profile: results from a large cross-sectional study. Thyroid. 2012;22:1096–103. 24. Scherer T, Lindtner C, O'Hare J, Hackl M, Zielinski E, Freudenthaler A. at al. Insulin regulates hepatic triglyceride secretion and lipid content via signaling in the brain. Diabetes. 2016;65:1511–20. 25. Pramfalk C, Pavlides M, Banerjee R, McNeil CA, Neubauer S, Karpe F. at al. Fasting plasma insulin concentrations are associated with changes in hepatic fatty acid synthesis and partitioning prior to changes in liver fat content in healthy adults. Diabetes. 2016;65:1858–67. 26. Ehrenkranz J, Bach PR, Snow GL, Schneider A, Lee JL, Ilstrup S, et al. Circadian and circannual rhythms in thyroid hormones: determining the TSH and free T4 reference intervals based upon time of day, age, and sex. Thyroid. 2015;25:954–61. 27. Wang DC, Li DD, Guo XZ, Yu SL, Qiu L, Cheng XQ, et al. Effects of sex, age, sampling time, and season on thyroid-stimulating hormone concentrations: a retrospective study. Biochem Biophys Res Commun. 2018;506:450–4. 28. Boullart AC, de Graaf J, Stalenhoef AF. Serum triglycerides and risk of cardiovascular disease. Biochim Biophys Acta. 2012;1821:867–75. 29. Budoff M. Triglycerides and triglyceride-rich lipoproteins in the causal pathway of cardiovascular disease. Am J Cardiol. 2016;118:138–45. 30. Korkmaz L, Sahin S, Akyuz AR, Ziyrek M, Anaforoglu I, Kose M, et al. Epicardial adipose tissue increased in patients with newly diagnosed subclinical hypothyroidism. Med Princ Pract. 2013;22:42–6. 31. Belen E, Değirmencioğlu A, Zencirci E, Tipi FF, Altun Ö, Karakuş G, et al. The association between subclinical hypothyroidism and epicardial adipose tissue thickness. Korean Circ J. 2015;45:210–5. 32. Sayin I, Erkan AF, Ekici B, Kutuk U, Corakci A, Tore HF. Thickening of the epicardial adipose tissue can be alleviated by thyroid hormone replacement therapy in patients with subclinical hypothyroidism. Kardiol Pol. 2016;74:1492–8. Cite Share Download PDF Status: Published Journal Publication published 01 Jan, 2021 Read the published version in Central European Journal of Sport Sciences and Medicine → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-11264","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research article","associatedPublications":[],"authors":[{"id":289895,"identity":"3ae89002-5518-44f6-a575-b3f93f9f922c","order_by":1,"name":"Marzena Malara","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYHAD5gYgYQOkDzAw8ACZfIS1MIK0pDEwsCVAtLARqeUwYS267Wcff/i4ww7IONj4uaLmvLzBMQbGB2/bGPJwaTE7k25gOPNMMpCR2Cx55thtww3HGJgN57YxFOPUciCNIZm3jRnISGyQbGC7zbjtfgObNG8bQ2IbLi3nnzEc/ttWD2Q8bP7Z8O+c/bZjDOy/8Wq5kcbYzNh2GMhIbJNsbDuQCNTCxoxfyzNmxt624zxmNx62WTb2JSfvP8bYLDnnnARuv5xPY/7ws61azux88uGbDd/sbGe2MR/88KbMJo8fhxYY4EFigyNIIoGADiyADC2jYBSMglEwTAEA0wVckPG2V6QAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0003-0765-8318","institution":"Akademia Wychowania Fizycznego Jozefa Pilsudskego w Warszawie","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Marzena","middleName":"","lastName":"Malara","suffix":""},{"id":289896,"identity":"7fe0e4a4-8aeb-43f3-a6d4-7ce5ec9a4849","order_by":2,"name":"Joanna Tkaczyk","email":"","orcid":"","institution":"Akademia Wychowania Fizycznego Jozefa Pilsudskego w Warszawie","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Joanna","middleName":"","lastName":"Tkaczyk","suffix":""},{"id":289897,"identity":"5fd70bea-5e8d-4962-a14a-a74de2708c5b","order_by":3,"name":"Anna Kęska","email":"","orcid":"","institution":"Akademia Wychowania Fizycznego Jozefa Pilsudskego w Warszawie","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Anna","middleName":"","lastName":"Kęska","suffix":""},{"id":289898,"identity":"241fb930-25eb-452a-bf5b-515ce84a8b6d","order_by":4,"name":"Grażyna Lutosławska","email":"","orcid":"","institution":"Akademia Wychowania Fizycznego Jozefa Pilsudskego w Warszawie","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Grażyna","middleName":"","lastName":"Lutosławska","suffix":""}],"badges":[],"createdAt":"2020-01-10 12:00:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.2.20664/v1","doiUrl":"https://doi.org/10.21203/rs.2.20664/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.18276/cej.2021.3-04","type":"published","date":"2021-01-01T11:53:46+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":361353,"identity":"401d1d0f-0f5c-4008-a535-a7796fe0b973","added_by":"auto","created_at":"2020-01-14 16:03:48","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":20057,"visible":true,"origin":"","legend":"Classification of study participants according to circulating TSH.","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/174f54ba-f538-4478-af28-6b34878880c6/v1/1.jpg"},{"id":15963524,"identity":"5b4032bf-7d71-45d3-905a-bf14bb91ab0b","added_by":"auto","created_at":"2021-11-29 11:53:49","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":298031,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-11264/v1/37729666-2a71-47d0-9b5e-3e7874a33b78.pdf"}],"financialInterests":"","formattedTitle":"Normal levels of TSH affect the metabolic profile differently in physically active males and females","fulltext":[{"header":"Background","content":" \u003cp\u003eNumerous studies have shown that variability in circulating TSH within the normal range affects circulating lipids [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. However, this issue was studied mostly in middle-aged and older adults as a consequence of increased thyroid gland disease with age [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Data concerning metabolic effects of variability in normal level circulating TSH in young adults are scarce and their results are interpreted for combined male and female participants [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. On the other hand, it is well documented that sex hormones significantly contribute to the regulation of thyroid function due to functional associations between the hypothalamic-pituitary-thyroid axis (HPT) and the hypothalamic \u0026ndash; pituitary gonadal axis (HPG) at least in part due to estrogen and androgen receptor expression in thyroid glands [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Thus, the above data suggest that studies concerning TSH effects on metabolic processes have to be interpreted separately in males and females due to differences in sex hormone status.\u003c/p\u003e \u003cp\u003eAdditionally, many data have provided discordant results concerning associations of circulating TSH and physical activity. In young men both no changes and significant elevation in circulating TSH were noted immediately after maximal aerobic exercise [\u003cspan additionalcitationids=\"CR10\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. In addition it was shown that long term exercise may have different impacts on TSH levels than an acute exercise program [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. However, no changes in circulating TSH were observed in elite athletes who underwent regular training [\u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. With this background in mind our study was undertaken and was aimed at evaluation of relationships between circulating TSH within the normal range with metabolic risk factors (glucose, insulin, lipoproteins) separately in male and female physical education students engaged in regular physical activity due to their studies. In 112 male and 107 female students circulating TSH, glucose, insulin and lipoproteins were measured in blood under fasting conditions. For further procedures exclusively those with TSH 0.4\u0026ndash;4.0 \u0026micro;IU/ml were selected.\u003c/p\u003e "},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eSubjects \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePhysical education students were recruited by word of mouth and advertisements in student dormitories. Exclusively regularly physically active healthy non-smokers not taking supplements on a regular basis were accepted. None of them were high-performance athletes, however, all volunteers had been active for at least 3 months and were engaged in different forms of physical activity due to their study program (gymnastics, swimming, basketball, dance for 6 hours/week). Finally 112 males and 148 females were accepted and underwent further procedures. All 148 female students were asked about oral contraceptive (OC) use and 25 OC users were excluded from the study. Thus 123 females were asked to provide information concerning menstrual cycle regularity. In consequence exclusively 107 females with cycle length 21-35 days were accepted for participation [16]. All participants provided written consent for participation in the study and the study protocol was accepted by the local Ethics Commission.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnthropometry\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn 112 male and 107 female subjects mass and height were determined in barefooted participants wearing light clothes using standard medical equipment. The precision of body mass and height determination was 0.1 kg and 0.1 cm, respectively. Body fatness was determined using measurements of 4 skinfolds (biceps, triceps, suprailiac and subscapular) with Harpenden caliper \u003cstrong\u003e(\u003c/strong\u003eBritish Indicators, Burges HILL, UK) and calculated according to Durnin and Womersley [17]. All measurements were done twice by a trained technician and in the case of discrepancy were repeated for the third time. Lean body mass (LBM) was also calculated.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBiochemical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 112 males and 107 females were accepted for blood analysis. All subjects were asked to refrain from physical activity for at least 8 h and to eat their last meal at least 12 h before blood withdrawal. Blood was taken under aseptic conditions into plastic tubes with anticoagulant and centrifuged 15 min to obtain plasma which was stored at \u0026ndash; 70\u003csup\u003e0 \u003c/sup\u003eC until analysis. Plasma glucose was determined using the GOD-PAP method. Triacylglycerols (TG), total cholesterol (TC) and HDL-cholesterol (HDL-C) were assayed with colorimetric methods and commercial kits (Randox Laboratories, UK). Coefficients of variation for all variables did not exceed 5%. The plasma concentration of LDL-cholesterol (LDL-C) was calculated according to the Friedewald formula [18]. Plasma insulin was measured using a standard radioimmunoassay (RIA) with human monoclonal antibodies against insulin and commercial kits (BioSource, Belgium). Inter- and intra-assay coefficients of variation for insulin determination did not exceed 7%. All measurements were done in duplicate. Insulin resistance index (HOMA-IR) was calculated according to the Mathews et al. formula [19]:\u003c/p\u003e\n\u003cp\u003eHOMA-IR = [glucose (mmol/L) x insulin (\u0026micro;IU/ml)] /22.5.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSubjects\u0026rsquo; classification according to normal plasma TSH\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCirculating thyroid hormone (TSH) was assayed using a standard immunoassay method (RIA) and commercial kits (BioSource (Belgium) Inter- and intra- assay coefficients of variation for TSH determination did not exceed 7%.\u003c/p\u003e\n\u003cp\u003eThe results of circulating TSH were used to identify subjects with normal circulating hormone TSH levels established between 0.4 \u0026ndash; 4.0 \u0026micro;IU/ml according to Pearce et al. [20]. In consequence, a total of 99 males and 97 regularly menstruating females participated in the analysis of TSH relationship with other metabolic variables (glucose, insulin, HOMA-IR and lipoproteins) \u003cstrong\u003e(Fig. 1).\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData were tested for normality using the Shapiro-Wilk test. The differences between male and female students were evaluated using the Mann-Whitney test. In both male and female students Pearson\u0026rsquo;s correlation was used to test the association between TSH and other variables. In addition, in females step-wise regression analysis was performed to determine the contribution of TSH to the variability of the TG plasma levels. Both analyses were performed for logarithmically transformed data (base 10). Descriptive statistics are presented as mean \u0026plusmn; SD. Significance of differences was established at p\u0026lt;0.05. All calculations were performed using STATISTCA for Windows, v.12.0 (Stat Soft, USA).\u003c/p\u003e"},{"header":"Results","content":" \u003cp\u003eBody composition and metabolic variables in male and female participants with normal TSH are presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e with males with significantly higher body mass, body height but lower percentage of body fat in comparison with females (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 for all variables). Females were characterized by significantly higher circulating insulin vs. males (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) In consequence, HOMA-IR in females was markedly higher in comparison with males (1.480 vs. 1.128, p\u0026thinsp;\u0026lt;\u0026thinsp;0.005). There were no sex-related differences in plasma levels of TG, TC and LDL-C. However, circulating HDL-C in females was higher by 28.5% than in males (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). In male students a slight, but significant correlation was found between circulating TSH and the percentage of body fat (p\u0026thinsp;\u0026lt;\u0026thinsp;0.03) but no correlations of TSH with biochemical variables were noted \u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e(\u003c/span\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e)\u003c/span\u003e. On the contrary, in female students circulating TSH was not related to the percentage of body fat but a slight and significant correlation was noted with plasma TG (p\u0026thinsp;\u0026lt;\u0026thinsp;0.03)\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cdiv class=\"SimplePara\"\u003eAnthropometric and biochemical characteristics of physically active male and female students with normal TSH levels (0.4\u0026ndash;4.0 \u0026micro;IU/ml).\u003c/div\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eMales\u003c/div\u003e \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;99)\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003eFemales\u003c/div\u003e \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;97)\u003c/div\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eAge (years)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e21.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e21.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eWeight (kg)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e78.4\u0026thinsp;\u0026plusmn;\u0026thinsp;10.0\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e62.2\u0026thinsp;\u0026plusmn;\u0026thinsp;8.5\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eHeight (cm)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e182.0\u0026thinsp;\u0026plusmn;\u0026thinsp;6.7\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e167.9\u0026thinsp;\u0026plusmn;\u0026thinsp;5.7\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eFat (%)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e11.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.8\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e25.2\u0026thinsp;\u0026plusmn;\u0026thinsp;5.2\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eFat (kg)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e9.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.7\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e15.7\u0026thinsp;\u0026plusmn;\u0026thinsp;6.0\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eLBM (kg)\u003csup\u003e^\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e69.3\u0026thinsp;\u0026plusmn;\u0026thinsp;7.7\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e46.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTSH (\u0026micro;IU/ml)\u003csup\u003e#\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e2.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e2.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eGlucose (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e4.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e4.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eInsulin (\u0026micro;IU/ml)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e5.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e7.4\u0026thinsp;\u0026plusmn;\u0026thinsp;4.8\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eHOMA-IR\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e1.128\u0026thinsp;\u0026plusmn;\u0026thinsp;0.535\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e1.480\u0026thinsp;\u0026plusmn;\u0026thinsp;0.932\u003csup\u003eb\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTG (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTC (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e4.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e4.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eHDL-C (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e1.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e1.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003csup\u003ea\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eLDL-C (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e2.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e2.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003csup\u003e^\u003c/sup\u003e LBM \u0026ndash; lean body mass; \u003csup\u003e#\u003c/sup\u003e TSH-thyroid stimulating hormone;\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eHOMA-IR \u0026ndash; insulin resistance; TG \u0026ndash; triacylglycerols; TC \u0026ndash; total cholesterol; HDL-C \u0026ndash;\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eHDL-cholesterol; LDL-C \u0026ndash; LDL-cholesterol; \u003csup\u003ea\u003c/sup\u003e P\u0026thinsp;\u0026lt;\u0026thinsp;0.001; \u003csup\u003eb\u003c/sup\u003e P\u0026thinsp;\u0026lt;\u0026thinsp;0.005 - significantly higher vs.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003emales;\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cdiv class=\"SimplePara\"\u003ePearson\u0026rsquo;s correlation coefficients between normal TSH level, anthropometry and biochemical variables in active male and female students.\u003c/div\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eMales\u003c/div\u003e \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;99)\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003eFemales\u003c/div\u003e \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;97)\u003c/div\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eFat (%)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e0.226\u003c/span\u003e\u003csup\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003ea\u003c/span\u003e\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.002\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eGlucose (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;0.020\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.090\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eInsulin (\u0026micro;IU/ml)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.040\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.105\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eHOMA-IR\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.113\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTG (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e-0.120\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e0.230\u003c/span\u003e\u003csup\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003ea\u003c/span\u003e\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTC (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;0.040\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eHDL-C (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.080\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.178\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eLDL-C (mmol/L)\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003e-0.050\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e-0.150\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eAbbreviations: see Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e; \u003csup\u003e*\u003c/sup\u003e all data were logarithmically transformed (base 10) before calculation; \u003csup\u003ea\u003c/sup\u003e P\u0026thinsp;\u0026lt;\u0026thinsp;0.030\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn females step-wise multiple regression analysis revealed that circulating TG was positively and significantly correlated with HOMA-IR (p\u0026thinsp;=\u0026thinsp;0.0002) with slight but significant contribution of plasma TSH to the variability of TG (p\u0026thinsp;=\u0026thinsp;0.046) \u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e(\u003c/span\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e)\u003c/span\u003e. In the case of male students all data were excluded from step-wise multiple regression model.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cdiv class=\"SimplePara\"\u003eStep-wise multiple regression analysis for the relationship between TG and HDL-C with TSH and HOMA-IR in active female students with normal TSH levels.\u003c/div\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eDependent variable\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eIndependent variables\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u0026szlig;\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cdiv class=\"SimplePara\"\u003eSD\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cdiv class=\"SimplePara\"\u003et\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cdiv class=\"SimplePara\"\u003ep\u003c/div\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003eTG\u003c/span\u003e\u003csup\u003e\u003cspan type=\"Bold\" class=\"Bold\" name=\"Emphasis\"\u003e*\u003c/span\u003e\u003c/sup\u003e\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eHOMA-IR\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.359\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.094\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cdiv class=\"SimplePara\"\u003e3.820\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.0002\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eTSH\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.189\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.094\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cdiv class=\"SimplePara\"\u003e2.017\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cdiv class=\"SimplePara\"\u003e0.046\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eCorrected R \u003csup\u003e2\u003c/sup\u003e = 0.162, F (2.94)\u0026thinsp;=\u0026thinsp;10.338, p\u0026thinsp;\u0026lt;\u0026thinsp;0.00009\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003eFor abbreviations \u0026ndash; see Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e; \u003csup\u003e*\u003c/sup\u003e - all data were logarithmically transformed before analysis (base 10)\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e "},{"header":"Discussion","content":" \u003cp\u003eThe most important finding of our study indicated that active female subjects differ in respect to the relationship between normal level TSH with circulating TG vs. their male counterparts. This is in agreement with other data indicating a direct effect of thyroid hormones on hepatic lipid metabolism [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. In addition there are data which noted that in middle age subjects TG efflux from the liver is to a greater extent stimulated by TSH in females than in males [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. However, multiple regression analysis indicated that TSH contribution is close to the limit of significance, with powerful contribution of insulin resistance expressed as HOMA-IR. It is well documented that TG synthesis in the liver is markedly stimulated in response to elevated insulin resistance [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Thus, it could be postulated that in active females the role of insulin resistance in the regulation of circulating TG is more pronounced than that of blood TSH within the normal range.\u003c/p\u003e \u003cp\u003eOn the other hand, it could be tentatively postulated that the effect of TSH on TG will be more pronounced with an increase in its plasma level observed with age in both sexes [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. In this context the role of TG in the development of cardiovascular disease in women has to be taken into consideration [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Interestingly, data for active male students did not demonstrate any relationship between circulating normal range TSH with TG. Thus it could be suggested that different steps of TG metabolism in active males are less sensitive to variability of TSH within the normal range.\u003c/p\u003e \u003cp\u003eSurprisingly, a slight but significant associations of TSH with the percentage of body fat was found exclusively in male students, thus in subjects with significantly lower fatness vs. their female counterparts. The reason for this finding could be only speculated and further studies are needed concerning regional fat distribution (e.g. visceral and/or epicardial) in both active males and females in the context of normal circulating TSH [\u003cspan additionalcitationids=\"CR31\" citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e "},{"header":"Conclusions","content":" \u003cp\u003eIn summary, our study indicated that circulating TG in physically active females is more sensitive to variability in TSH within the normal range in comparison with their male counterparts. However, the contribution of TSH although significant is much lower than that of insulin resistance expressed as HOMA-IR. According to our best knowledge this study is the first which focused on the effect of normal TSH levels on the metabolic profile in young, active participants of both sexes. However, the limitations of our study have to be underlined and are focused on the lack of the determination of adipokines (e.g. leptin and adiponectin) but also of the adipo-myokine irisin which possibly affect circulating TSH and whose levels differ with respect to sex. Moreover, it seems that in males more precise determination of body fat is of importance.\u003c/p\u003e "},{"header":"declarations ","content":"\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHOMA-IR: Homeostasis model assessment for insulin resistance.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical clearance was obtained from the Bioethical Commission of University of Physical Education in Warsaw (2015 year). Also, informed written consent was obtained from all participants after explaining the purpose of the study, importance of their contribution as well as the right to refuse participation. All the information gathered was kept confidential.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets during the current study available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAuthors declare no conflict of interests.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was partially supported by the Grant DS-230 from the University of Physical Education in Warsaw. Role the funder: obtaining funds for biochemical analysis.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMM, GL: conception or design of the work, data analysis and interpretation and drafting the article.\u003c/p\u003e\n\u003cp\u003eAK, JT: data collection.\u003c/p\u003e\n\u003cp\u003eAll authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe express our thanks to all students participating in the study.\u003c/p\u003e"},{"header":"References","content":" \u003cdiv id=\"CR1\" class=\"Citation\"\u003e \u003cspan class=\"EditNotAllowed\" name=\"CitationNumber\"\u003e1.\u003c/span\u003e \u003cdiv class=\"BibUnstructured\"\u003eAsvold BO, Vatten LJ, Nilsen TI, Bj\u0026oslash;ro T. 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Kardiol Pol. 2016;74:1492\u0026ndash;8.\u003c/div\u003e \u003c/div\u003e "}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"normal range TSH, glucose, insulin, HOMA-IR, lipoproteins","lastPublishedDoi":"10.21203/rs.2.20664/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.2.20664/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBackground Our study was aimed at the evaluation of relationships between thyroid stimulating hormone (TSH) within the normal range and metabolic risk factors (glucose, insulin, HOMA-IR and lipoprotein profile) in physically active male and female students. \u003c/p\u003e\u003cp\u003eMethods In 112 male and 107 female students circulating TSH, glucose, insulin and lipoproteins (triacylglycerols, total cholesterol, HDL-cholesterol and LDL-cholesterol) were measured in blood under fasting conditions. Insulin resistance was expressed as HOMA-IR. For further procedures 99 males and 97 regularly menstruating females with TSH 0.4 – 4.0 µIU/ml were accepted. \u003c/p\u003e\u003cp\u003eResults In male students no correlations between circulating TSH, anthropometric and biochemical variables were noted. In females TSH within the normal range was slightly but significantly correlated with the triglyceride (TG) level (p\u0026lt;0.03). However, step-wise multiple regression analysis revealed that the effect of TSH was small (p\u0026lt;0.046) in relation to that found for HOMA-IR (p\u0026lt;0.0009). No relationships between biochemical variables and normal levels of TSH were noted in male students. However, surprisingly normal range TSH in males was slightly but significantly correlated with the percentage of body fat and this issue needs further studies concerning measurements of different fat depots.\u003c/p\u003e\u003cp\u003eConclusions The above data suggests that in active females TG synthesis and export from the liver is more sensitive to TSH action than in active male counterparts.\u003c/p\u003e","manuscriptTitle":"Normal levels of TSH affect the metabolic profile differently in physically active males and females","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-01-14 16:03:47","doi":"10.21203/rs.2.20664/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"0ac604fa-6f81-4d98-b80d-5291eedaf461","owner":[],"postedDate":"January 14th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":49346,"name":"Endocrinology \u0026 Metabolism"}],"tags":[],"updatedAt":"2021-11-29T11:53:46+00:00","versionOfRecord":{"articleIdentity":"rs-11264","link":"https://doi.org/10.18276/cej.2021.3-04","journal":{"identity":"central-european-journal-of-sport-sciences-and-medicine","isVorOnly":true,"title":"Central European Journal of Sport Sciences and Medicine"},"publishedOn":"2021-01-01 11:53:46","publishedOnDateReadable":"January 1st, 2021"},"versionCreatedAt":"2020-01-14 16:03:47","video":"","vorDoi":"10.18276/cej.2021.3-04","vorDoiUrl":"https://doi.org/10.18276/cej.2021.3-04","workflowStages":[]},"version":"v1","identity":"rs-11264","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"identity":"rs-11264","version":["v1"]},"buildId":"DfRiq_wiF3Ryq-tyrab2w","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}