Role of TERT Gene in Relationship between Body Fat Percentage with the Modifiable Risk Factors of Cardiometabolic Disease in Minangkabau Premenopausal
DOI:
https://doi.org/10.3889/oamjms.2020.3551Keywords:
Body fat percentage, Cardiometabolic, Lipid profile, Telomerase reverse transcriptaseAbstract
Background:
Cardiometabolic disease risk is increasing in the premenopausal phase of women life. This study aims to relationship body fat percentage with the modifiable risk factors of cardiometabolic disease in Minangkabau premenopausal people.
Methods: A cross-sectional study was conducted in 111 Minangkabau premenopausal people, aged 40 – 55 years old at Padang City in West Sumatera, Indonesia. Body fat percentage analyzed by Bioelectrical Impedance Analyzer (BIA). Fasting blood glucose and lipid profile was examined from venous blood. Data were analyzed by using a Rank-Spearman correlation test with significant levels p<0.05.
Results:Average body fat percentage of subjects 36.23 ± 6.9, fasting blood glucose 101.52 ± 12.3 mg/dL; total cholesterol 193.99±41.5 mg/dL; triglyceride 113.76±37.9 mg/dL mg/dL; LDL-cholesterol 120.59±45.7 mg/dL and HDL-cholesterol 53.52±15.6 mg/dL. Body fat percentage has a significant correlation with triglyceride (r=0.368; p=0.001), and HDL-cholesterol levels (r=-0.307; p=0.006 ) just in subject with polymorphism, but does not have a significant correlation with another biomarker.
Conclusion: Body fat percentage correlates with triglyceride and HDL cholesterol in Minangkabau premenopausal women who have polymorphism of TERT Gene.
BACKGROUND: Cardiometabolic disease risk is increasing in the premenopausal phase of women life. The telomerase reverse transcriptase (TERT) gene is a gene that plays a role in protecting telomeres from progressive shortening. Telomere shortening is associated with the incidence of cardiometabolic disease.
AIM: This study aims to elucidate the relationship body fat percentage with the modifiable risk factors of cardiometabolic disease in Minangkabau premenopausal people.
METHODS: A cross-sectional study was conducted in 111 Minangkabau premenopausal people aged 40–55 years old at Padang City in West Sumatera, Indonesia. Body fat percentage analyzed by bioelectrical impedance analyzer. Fasting blood glucose and lipid profile were examined from venous blood. Polymorphism of the TERT rs2736098 gene was analyzed by a polymerase chain reaction. Data were analyzed using Spearman’s rank correlation test with significant levels p < 0.05.
RESULTS: Average body fat percentage of subjects was 36.23 ± 6.9, fasting blood glucose was 101.52 ± 12.3 mg/dL; total cholesterol was 193.99 ± 41.5 mg/dL; triglyceride was 113.76 ± 37.9 mg/dL; LDL-cholesterol was 120.59 ± 45.7 mg/dL and HDL-cholesterol was 53.52±15.6 mg/dL. Body fat percentage has a significant correlation with triglyceride (r = 0.368; p = 0.001) and HDL-cholesterol levels (r = −0.307; p = 0.006) just in subject with polymorphism but does not have a significant correlation with another biomarker.
CONCLUSION: Body fat percentage correlates with triglyceride and HDL cholesterol in Minangkabau premenopausal women who have polymorphism of TERT gene.
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References
Bennasar-Veny M, Lopez-Gonzalez AA, Tauler P, Cespedes ML, Vicente-Herrero T, Yañez A, et al. Body adiposity index and cardiovascular health risk factors in caucasians: A comparison with the body mass index and others. PLoS One. 2013;8(5):e63999. https://doi.org/10.1371/journal. pone.0063999 PMid:23734182
Sen P, Das S, Hore S, Bhattacharjee S, Choudhuri D. Obesity and associated cardiometabolic risk among women from tripura-a Northeastern state of India. J Midlife Health. 2017;8(3):110-7. https://doi.org/10.4103/jmh.jmh_116_15 PMid:28983157
Razmjou S, Abdulnour J, Bastard JP, Fellahi S, Doucet É, Brochu M, et al. Body composition, cardiometabolic risk factors, physical activity, and inflammatory markers in premenopausal women after a 10-year follow-up: A MONET study. Menopause. 2018;25(1):89-97. https://doi.org/10.1097/ gme.0000000000000951 PMid:28763400
Choudhuri S, Aithal M, Choudhuri D. Screening for cardiometabolic risk profile in middle aged premenopausal Indian women. J Cardiovasc Dis Res. 2015;6(2):91-6. https://doi.org/10.5530/jcdr.2015.2.8
Flint E, Cummins S, Sacker A. Association between active commuting, body fat, and body mass index: Population based, cross seectional study in the United Kingdom. BMJ. 2014;349:1- 9. https://doi.org/10.1136/bmj.g4887 PMid:25139861
Dos Anjos LA, Teixera FC, Wahrlich V, Vasconcellos MT, Going SB. Body fat pecentage and body mass index in a probability sample of an adult Urban population in Brazil. Cad Saude Publica. 2013;29(1):73-81.
Zhao D, Li Y, Zheng L, Yu K. Brief communication: Body mass index, body adiposity, and percent body fat in asians. Am J Phys Anthropol. 2013:152(2):294-9. https://doi.org/10.1002/ ajpa.22341 PMid:23996556
Zeng Q, Dong SY, Sun XN, Xie J, Cui Y. Percent body fat is a better predictor risk factors than body mass index. Braz J Med Biol Res. 2012;45(7):591-600. https://doi.org/10.1590/ s0100-879x2012007500059 PMid:22510779
Nordestgaard BG, Chapman J, Ray K, Boren J, Andreotti F, Watts GF, et al. Perhimpunan dokter spesialis kardiovaskular Indonesia. Pedoman tatalaksana dislipidemia. J Kardiol Indones. 2013;34(4):265.
TERT Telomerase Reverse Transcriptase Homo Sapiens (Human); 2017. Available from: https://www.ncbi.nlm.nih.gov/ gene/7015. Last accessed on 2017 Apr 05].
Cong YS, Wen J, Bacchetti S. The human telomerase catalytic subunit hTERT: Organization of the gene and characterization of the promoter. Hum Mol Genet. 1999;8(1):137-42. https://doi. org/10.1093/hmg/8.1.137 PMid:9887342
Zhang C, Tian YP, Wang Y, Guo FH, Qin JF, Ni H. hTERT rs2736098 genetic variants and susceptibility of hepatocellular carcinoma in the Chinese population: A case-control study. Hepatobiliary Pancreat Dis Int. 2013;12(1):74-9. https://doi. org/10.1016/s1499-3872(13)60009-0 PMid:23392802
Yuan X, Cheng G, Yu J, Zheng S, Sun C, Sun Q, et al. The TERT promoter mutation incidence is modified by germline TERT rs2736098 and rs2736100 polymorphisms in hepatocellular carcinoma. Oncotarget. 2017;8(14):23120-9. https://doi. org/10.18632/oncotarget.15498 PMid:28416747
Xiao X, He W. Genetic polymorphisms in the TERT-CLPTM1 L region and lung cancer susceptibility in Chinese males. Oncol Lett. 2017;14(2):1588-94. https://doi.org/10.3892/ol.2017.6289 PMid:28789383
Xing Y, Liu F, Li JF, Lin JC, Zhu GD, Li M, et al. Case-control study on impact of the telomerase reverse transcriptase gene polymorphism and additional single nucleotide polymorphism (SNP)-SNP interaction on non-small cell lung cancers risk in Chinese Han population. J Clin Lab Anal. 2016;30(6):1071-7. https://doi.org/10.1002/jcla.21982
Baode L, Liu D, Zhenyuan Y, Weijin F, Chen J, Haoyuan L. Association between genetic polymorphism of TERT and CLK3 with susceptibility of bladder cancer. J Pract Med. 2016;32(11):1806-9.
Ma Z, Hu Q, Chen Z, Tao S, Macnamara L, Kim ST, et al. Systematic evaluation of bladder cancer risk-associated single-nucleotide polymorphisms in a Chinese population. Mol Carcinog. 2013;52(11):916-21. https://doi.org/10.1002/ mc.21932 PMid:22711262
Singh V, Jaiswal PK, Mittal RD. Replicative study of GWAS TP63C/T, TERTC/T, and SLC14A1C/T with susceptibility to bladder cancer in North Indians. Urol Oncol. 2014;32(8):1209- 14. https://doi.org/10.1016/j.urolonc.2014.05.013 PMid:25218484
Yoo SS, Do SK, Choi JE, Lee SY, Lee J, Cha SI, et al. TERT polymorphism rs2853669 influences on lung cancer risk in the korean population. J Korean Med Sci. 2015;30(10):1423-8. https://doi.org/10.3346/jkms.2015.30.10.1423 PMid:26425038
Jannuzzi AT, Karaman E, Oztas E, Yanar HT, Özhan G. Telomerase reverse transcriptase (TERT) gene variations and susceptibility of colorectal cancer. Genet Test Mol Biomarkers. 2015;19(12):692-7. https://doi.org/10.1089/gtmb.2015.0150 PMid:26501986
Hashemi M, Amininia S, Ebrahimi M, Hashemi SM, Taheri M, Ghavami S. Association between hTERT polymorphisms and the risk of breast cancer in a sample of Southeast Iranian population. BMC Res Notes. 2014;7:895. https://doi. org/10.1186/1756-0500-7-895 PMid:25491902
de Martino M, Taus C, Lucca I, Hofbauer SL, Haitel A, Shariat SF, et al. Association of human telomerase reverse transcriptase gene polymorphisms, serum levels, and telomere length with renal cell carcinoma risk and pathology. Mol Carcinog. 2016;55(10):1458-66. https://doi.org/10.1002/mc.22388 PMid:26294352
Carkic J, Nikolic N, Radojevic-Skodric S, Kuzmanovic- Pficer J, Brajovic G, Antunovic M, et al. The role of TERT-CLPTM1 L SNPs, hTERT expression and telomere length in the pathogenesis of oral squamous cell carcinoma. J Oral Sci. 2016;58(4):449-58. https://doi.org/10.2334/josnusd.16-0108 PMid:28025427
Vanavanan S, Srisawasdi P, Rochanawutanon M, Kumproa N, Kruthkul K, Kroll MH. Performance of body mass index and percentage of body fat in predicting cardiometabolic risk factors in Thai adults. Diabetes Metab Syndr Obes. 2018;11:241-53. https://doi.org/10.2147/dmso.s167294 PMid:29910627
Jia A, Xu S, Ming J, Xing Y, Guo J, Zhao M, et al. Body fat percentage cutoffs for risk of cardiometabolic abnormalities in the Chinese adult population: A nationwide study. Eur J Clin Nutr. 2018;72(5):728-35. https://doi.org/10.1038/s41430-018-0107-0 PMid:29410481
Soerensen M, Thinggaard M, Nygaard M, Dato S, Tan Q, Hjelmborg J, et al. Genetic variation in TERT and TERC and human leukocyte telomere length and longevity: A cross-sectional and longitudinal analysis. Aging Cell. 2012;11(2):223- 7. https://doi.org/10.1111/j.1474-9726.2011.00775.x
PMid:22136229
Atzmon G, Cho M, Cawthon RM, Budagov T, Katz M, Yang X, et al. Evolution in health and medicine Sackler colloquium: Genetic variation in human telomerase is associated with telomere length in Ashkenazi centenarians. Proc Natl Acad Sci U S A. 2010;107 Suppl 1:1710-7. https://doi.org/10.1073/ pnas.0906191106
PMid:19915151
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Copyright (c) 2020 Yuniar Lestari, Delmi Sulastri, Desmawati Desmawati (Author)
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