Т АЛЛЕЛЬ UCP3 (RS1800849) АССОЦИИРОВАН СО СНИЖЕННЫМ НАКОПЛЕНИЕМ ЖИРОВОЙ МАССЫ НЕЗАВИСИМО ОТ УРОВНЯ ФИЗИЧЕСКОЙ АКТИВНОСТИ
Ключевые слова:
UCP3, физическая активность, ожирение, разобщающие белки, индекс центрального ожирения
Аннотация
Аннотация. Цель исследования: анализ ассоциаций –55С>T полиморфизма UCP3 (rs1800849) с антропологическими признаками и индексами, отражающими количество жировой массы и топографию жироотложения в группе взрослых мужчин и женщин с различным уровнем физической активности. Материалы и методы. В поперечном антропогенетическом обследовании приняли участие 182 добровольца с различным уровнем физической активности (80 женщин и 102 мужчины) в возрасте от 18 до 33 лет, проживавшие в Москве и Московской области. У добровольцев определялся генотип UCP3 (rs1800849), проводились измерения длины, массы и состава тела, рассчитывались индексы массы тела (ИМТ) и центрального ожирения (WHtR). Результаты. В целом в изученной выборке минорный Т аллель UCP3 (rs1800849) был ассоциирован с более низкими значениями доли жировой массы тела и индекса центрального ожирения. Аналогичные данные были получены как в подгруппе физически активных, так и в группе физически малоактивных испытуемых. Физическая активность усиливала протекторное влияние Т аллеля на 20 %. Заключение. В данном исследовании показано, что физическая активность усиливала протекторное влияние Т аллеля UCP3 (rs1800849) и снижала риск избыточного накопления жировой массы.
Литература
1. Негашева М.А. Основы антропометрии. М.: Экон-Информ, 2017. [Negasheva М.А. Osnovy antropometrii [Basics of Antropometrics]. Moscow, Econ-Inform Publ., 2017.]
2. Николаев Д.В., Смирнов А.В., Бобринская И.Г., Руднев С.Г. Биоимпедансный анализ состава тела человека. М.: Наука, 2009. 392 с. [Nikolaev D.V., Smirnov A.V., Bobrynskaya I.G., Rudnev S.G. Bioimpedansnyy analiz sostava tela cheloveka [Bioimperdance Analysis of Body Composition]. Moscow, Science Publ., 2009. 392 p.]
3. Posthuma D., Koning D., Dolan C. et al. A Note on Permutation Tests for Genetic Association Analysis of Quantitative Traits when Variances are Heterogeneous. Genetic Epidemiology: The Official Publication of the International Genetic Epidemiology Society, 2009, vol. 33 (8), pp. 710–716. DOI: 10.1002/gepi.20423
4. Schrauwen P., Xia J., Walder K. et al. A Novel Polymorphism in the Proximal UCP3 Promoter Region: Effect on Skeletal Muscle UCP3 mRNA Expression and Obesity in Male Non-Diabetic Pima Indians. International Journal of Obesity, 1999, vol. 23 (12), pp. 1242–1245. DOI: 10.1038/sj.ijo.0801057
5. Alonso A., Martí A., Corbalán M. et al. Association of UCP3 Gene–55C> T Polymorphism and Obesity in a Spanish Population. Annals of Nutrition and Metabolism, 2005, vol. 49 (3), pp. 183–188. DOI: 10.1159/000086883
6. Brondani L., Souza B., Assmann T. et al. Association of the UCP Polymorphisms with Susceptibility to Obesity: Case-Control Study and Meta-Analysis. Molecular Biology Reports, 2014, vol. 41 (8), pp. 5053–5067. DOI: 10.1007/s11033-014-3371-7
7. Bůžková P., Lumley T., Rice K. Permutation and Parametric Bootstrap Tests for Gene-Gene and Gene-Environment Interactions. Annals of Human Genetics, 2011, vol. 75 (1), pp. 36–45. DOI: 10.1111/j.1469-1809.2010.00572.x
8. Jun H., Kim I., Lee H. et al. Song Effects of UCP2 and UCP3 Variants on the Manifestation of Overweight in Korean Children. Obesity, 2009, vol. 17 (2), pp. 355–362. DOI: 10.1038/oby.2008.531
9. Hu Y., Li L., Seidelmann S. et al. Identification of Association of Common AGGF1 Variants with Susceptibility for Klippel-Trenaunay Syndrome Using the Structure Association Program. Annals of Human Genetics, 2008, vol. 72 (5), pp. 636–643. DOI: 10.1111/j.1469-1809.2008.00458.x
10. Berentzen T., Dalgaard L., Petersen L. et al. Interactions Between Physical Activity and Variants of the Genes Encoding Uncoupling Proteins-2 and -3 in Relation to Body Weight Changes During a 10-y Follow-up. International Journal of Obesity, 2005, vol. 29 (1), pp. 93–99. DOI: 10.1038/sj.ijo.0802841
11. Pusch W., Wurmbach J., Thiele H. et al. MALDI-TOF Mass Spectrometry-Based SNP Genotyping. Pharmacogenomics, 2002, vol. 3 (4), pp. 537–548. DOI: 10.1517/14622416.3.4.537
12. Brondani L., Assmann, T., de Souza B. et al. Meta-Analysis Reveals the Association of Common Variants in the Uncoupling Protein (UCP) 1–3 Genes with Body Mass Index Variability. PloS One, 2014, vol. 9 (5), e96411. DOI: 10.1371/journal.pone.0096411
13. Patnala R., Clements J., Batra J. Candidate Gene Association Studies: a Comprehensive Guide to Useful in Silico Tools. BMC Genetics, 2013, vol. 14 (1), pp. 1–11. DOI: 10.1186/1471-2156-14-39
14. Nedergaard J., Golozoubova V., Matthias A. et al. UCP1: the Only Protein Able to Mediate Adaptive Non-Shivering Thermogenesis and Metabolic Inefficiency. Biochimica et Biophysica Acta (BBA)-Bioenergetics, 2001, vol. 1504 (1), pp. 82–106. DOI: 10.1016/S0005-2728(00)00247-4
15. Vidal-Puig A., Solanes G., Grujic D. et al. UCP3: an Uncoupling Protein Homologue Expressed Preferentially and Abundantly in Skeletal Muscle and Brown Adipose Tissue. Biochemical and Biophysical Research Communications, 1997, vol. 235 (1), pp. 79–82. DOI: 10.1006/bbrc.1997.6740
16. Leak T., Perlegas P., Smith P. et al. Variants in Intron 13 of the ELMO1 Gene are Associated with Diabetic Nephropathy in African Americans. Annals of Human Genetics, 2009, vol. 73 (2), pp. 152–159. DOI: 10.1111/j.1469-1809.2008.00498.x
17. Salopuro T., Pulkkinen L., Lindström J. et al. Variation in the UCP2 and UCP3genes Associates with Abdominal Obesity and Serum Lipids: The Finnish Diabetes Prevention Study. BMC Medical Genetics, 2009, vol. 10 (1), 94 p. DOI: 10.1186/1471-2350-10-94
2. Николаев Д.В., Смирнов А.В., Бобринская И.Г., Руднев С.Г. Биоимпедансный анализ состава тела человека. М.: Наука, 2009. 392 с. [Nikolaev D.V., Smirnov A.V., Bobrynskaya I.G., Rudnev S.G. Bioimpedansnyy analiz sostava tela cheloveka [Bioimperdance Analysis of Body Composition]. Moscow, Science Publ., 2009. 392 p.]
3. Posthuma D., Koning D., Dolan C. et al. A Note on Permutation Tests for Genetic Association Analysis of Quantitative Traits when Variances are Heterogeneous. Genetic Epidemiology: The Official Publication of the International Genetic Epidemiology Society, 2009, vol. 33 (8), pp. 710–716. DOI: 10.1002/gepi.20423
4. Schrauwen P., Xia J., Walder K. et al. A Novel Polymorphism in the Proximal UCP3 Promoter Region: Effect on Skeletal Muscle UCP3 mRNA Expression and Obesity in Male Non-Diabetic Pima Indians. International Journal of Obesity, 1999, vol. 23 (12), pp. 1242–1245. DOI: 10.1038/sj.ijo.0801057
5. Alonso A., Martí A., Corbalán M. et al. Association of UCP3 Gene–55C> T Polymorphism and Obesity in a Spanish Population. Annals of Nutrition and Metabolism, 2005, vol. 49 (3), pp. 183–188. DOI: 10.1159/000086883
6. Brondani L., Souza B., Assmann T. et al. Association of the UCP Polymorphisms with Susceptibility to Obesity: Case-Control Study and Meta-Analysis. Molecular Biology Reports, 2014, vol. 41 (8), pp. 5053–5067. DOI: 10.1007/s11033-014-3371-7
7. Bůžková P., Lumley T., Rice K. Permutation and Parametric Bootstrap Tests for Gene-Gene and Gene-Environment Interactions. Annals of Human Genetics, 2011, vol. 75 (1), pp. 36–45. DOI: 10.1111/j.1469-1809.2010.00572.x
8. Jun H., Kim I., Lee H. et al. Song Effects of UCP2 and UCP3 Variants on the Manifestation of Overweight in Korean Children. Obesity, 2009, vol. 17 (2), pp. 355–362. DOI: 10.1038/oby.2008.531
9. Hu Y., Li L., Seidelmann S. et al. Identification of Association of Common AGGF1 Variants with Susceptibility for Klippel-Trenaunay Syndrome Using the Structure Association Program. Annals of Human Genetics, 2008, vol. 72 (5), pp. 636–643. DOI: 10.1111/j.1469-1809.2008.00458.x
10. Berentzen T., Dalgaard L., Petersen L. et al. Interactions Between Physical Activity and Variants of the Genes Encoding Uncoupling Proteins-2 and -3 in Relation to Body Weight Changes During a 10-y Follow-up. International Journal of Obesity, 2005, vol. 29 (1), pp. 93–99. DOI: 10.1038/sj.ijo.0802841
11. Pusch W., Wurmbach J., Thiele H. et al. MALDI-TOF Mass Spectrometry-Based SNP Genotyping. Pharmacogenomics, 2002, vol. 3 (4), pp. 537–548. DOI: 10.1517/14622416.3.4.537
12. Brondani L., Assmann, T., de Souza B. et al. Meta-Analysis Reveals the Association of Common Variants in the Uncoupling Protein (UCP) 1–3 Genes with Body Mass Index Variability. PloS One, 2014, vol. 9 (5), e96411. DOI: 10.1371/journal.pone.0096411
13. Patnala R., Clements J., Batra J. Candidate Gene Association Studies: a Comprehensive Guide to Useful in Silico Tools. BMC Genetics, 2013, vol. 14 (1), pp. 1–11. DOI: 10.1186/1471-2156-14-39
14. Nedergaard J., Golozoubova V., Matthias A. et al. UCP1: the Only Protein Able to Mediate Adaptive Non-Shivering Thermogenesis and Metabolic Inefficiency. Biochimica et Biophysica Acta (BBA)-Bioenergetics, 2001, vol. 1504 (1), pp. 82–106. DOI: 10.1016/S0005-2728(00)00247-4
15. Vidal-Puig A., Solanes G., Grujic D. et al. UCP3: an Uncoupling Protein Homologue Expressed Preferentially and Abundantly in Skeletal Muscle and Brown Adipose Tissue. Biochemical and Biophysical Research Communications, 1997, vol. 235 (1), pp. 79–82. DOI: 10.1006/bbrc.1997.6740
16. Leak T., Perlegas P., Smith P. et al. Variants in Intron 13 of the ELMO1 Gene are Associated with Diabetic Nephropathy in African Americans. Annals of Human Genetics, 2009, vol. 73 (2), pp. 152–159. DOI: 10.1111/j.1469-1809.2008.00498.x
17. Salopuro T., Pulkkinen L., Lindström J. et al. Variation in the UCP2 and UCP3genes Associates with Abdominal Obesity and Serum Lipids: The Finnish Diabetes Prevention Study. BMC Medical Genetics, 2009, vol. 10 (1), 94 p. DOI: 10.1186/1471-2350-10-94
2. Николаев Д.В., Смирнов А.В., Бобринская И.Г., Руднев С.Г. Биоимпедансный анализ состава тела человека. М.: Наука, 2009. 392 с. [Nikolaev D.V., Smirnov A.V., Bobrynskaya I.G., Rudnev S.G. Bioimpedansnyy analiz sostava tela cheloveka [Bioimperdance Analysis of Body Composition]. Moscow, Science Publ., 2009. 392 p.]
3. Posthuma D., Koning D., Dolan C. et al. A Note on Permutation Tests for Genetic Association Analysis of Quantitative Traits when Variances are Heterogeneous. Genetic Epidemiology: The Official Publication of the International Genetic Epidemiology Society, 2009, vol. 33 (8), pp. 710–716. DOI: 10.1002/gepi.20423
4. Schrauwen P., Xia J., Walder K. et al. A Novel Polymorphism in the Proximal UCP3 Promoter Region: Effect on Skeletal Muscle UCP3 mRNA Expression and Obesity in Male Non-Diabetic Pima Indians. International Journal of Obesity, 1999, vol. 23 (12), pp. 1242–1245. DOI: 10.1038/sj.ijo.0801057
5. Alonso A., Martí A., Corbalán M. et al. Association of UCP3 Gene–55C> T Polymorphism and Obesity in a Spanish Population. Annals of Nutrition and Metabolism, 2005, vol. 49 (3), pp. 183–188. DOI: 10.1159/000086883
6. Brondani L., Souza B., Assmann T. et al. Association of the UCP Polymorphisms with Susceptibility to Obesity: Case-Control Study and Meta-Analysis. Molecular Biology Reports, 2014, vol. 41 (8), pp. 5053–5067. DOI: 10.1007/s11033-014-3371-7
7. Bůžková P., Lumley T., Rice K. Permutation and Parametric Bootstrap Tests for Gene-Gene and Gene-Environment Interactions. Annals of Human Genetics, 2011, vol. 75 (1), pp. 36–45. DOI: 10.1111/j.1469-1809.2010.00572.x
8. Jun H., Kim I., Lee H. et al. Song Effects of UCP2 and UCP3 Variants on the Manifestation of Overweight in Korean Children. Obesity, 2009, vol. 17 (2), pp. 355–362. DOI: 10.1038/oby.2008.531
9. Hu Y., Li L., Seidelmann S. et al. Identification of Association of Common AGGF1 Variants with Susceptibility for Klippel-Trenaunay Syndrome Using the Structure Association Program. Annals of Human Genetics, 2008, vol. 72 (5), pp. 636–643. DOI: 10.1111/j.1469-1809.2008.00458.x
10. Berentzen T., Dalgaard L., Petersen L. et al. Interactions Between Physical Activity and Variants of the Genes Encoding Uncoupling Proteins-2 and -3 in Relation to Body Weight Changes During a 10-y Follow-up. International Journal of Obesity, 2005, vol. 29 (1), pp. 93–99. DOI: 10.1038/sj.ijo.0802841
11. Pusch W., Wurmbach J., Thiele H. et al. MALDI-TOF Mass Spectrometry-Based SNP Genotyping. Pharmacogenomics, 2002, vol. 3 (4), pp. 537–548. DOI: 10.1517/14622416.3.4.537
12. Brondani L., Assmann, T., de Souza B. et al. Meta-Analysis Reveals the Association of Common Variants in the Uncoupling Protein (UCP) 1–3 Genes with Body Mass Index Variability. PloS One, 2014, vol. 9 (5), e96411. DOI: 10.1371/journal.pone.0096411
13. Patnala R., Clements J., Batra J. Candidate Gene Association Studies: a Comprehensive Guide to Useful in Silico Tools. BMC Genetics, 2013, vol. 14 (1), pp. 1–11. DOI: 10.1186/1471-2156-14-39
14. Nedergaard J., Golozoubova V., Matthias A. et al. UCP1: the Only Protein Able to Mediate Adaptive Non-Shivering Thermogenesis and Metabolic Inefficiency. Biochimica et Biophysica Acta (BBA)-Bioenergetics, 2001, vol. 1504 (1), pp. 82–106. DOI: 10.1016/S0005-2728(00)00247-4
15. Vidal-Puig A., Solanes G., Grujic D. et al. UCP3: an Uncoupling Protein Homologue Expressed Preferentially and Abundantly in Skeletal Muscle and Brown Adipose Tissue. Biochemical and Biophysical Research Communications, 1997, vol. 235 (1), pp. 79–82. DOI: 10.1006/bbrc.1997.6740
16. Leak T., Perlegas P., Smith P. et al. Variants in Intron 13 of the ELMO1 Gene are Associated with Diabetic Nephropathy in African Americans. Annals of Human Genetics, 2009, vol. 73 (2), pp. 152–159. DOI: 10.1111/j.1469-1809.2008.00498.x
17. Salopuro T., Pulkkinen L., Lindström J. et al. Variation in the UCP2 and UCP3genes Associates with Abdominal Obesity and Serum Lipids: The Finnish Diabetes Prevention Study. BMC Medical Genetics, 2009, vol. 10 (1), 94 p. DOI: 10.1186/1471-2350-10-94
References
1. Негашева М.А. Основы антропометрии. М.: Экон-Информ, 2017. [Negasheva М.А. Osnovy antropometrii [Basics of Antropometrics]. Moscow, Econ-Inform Publ., 2017.]2. Николаев Д.В., Смирнов А.В., Бобринская И.Г., Руднев С.Г. Биоимпедансный анализ состава тела человека. М.: Наука, 2009. 392 с. [Nikolaev D.V., Smirnov A.V., Bobrynskaya I.G., Rudnev S.G. Bioimpedansnyy analiz sostava tela cheloveka [Bioimperdance Analysis of Body Composition]. Moscow, Science Publ., 2009. 392 p.]
3. Posthuma D., Koning D., Dolan C. et al. A Note on Permutation Tests for Genetic Association Analysis of Quantitative Traits when Variances are Heterogeneous. Genetic Epidemiology: The Official Publication of the International Genetic Epidemiology Society, 2009, vol. 33 (8), pp. 710–716. DOI: 10.1002/gepi.20423
4. Schrauwen P., Xia J., Walder K. et al. A Novel Polymorphism in the Proximal UCP3 Promoter Region: Effect on Skeletal Muscle UCP3 mRNA Expression and Obesity in Male Non-Diabetic Pima Indians. International Journal of Obesity, 1999, vol. 23 (12), pp. 1242–1245. DOI: 10.1038/sj.ijo.0801057
5. Alonso A., Martí A., Corbalán M. et al. Association of UCP3 Gene–55C> T Polymorphism and Obesity in a Spanish Population. Annals of Nutrition and Metabolism, 2005, vol. 49 (3), pp. 183–188. DOI: 10.1159/000086883
6. Brondani L., Souza B., Assmann T. et al. Association of the UCP Polymorphisms with Susceptibility to Obesity: Case-Control Study and Meta-Analysis. Molecular Biology Reports, 2014, vol. 41 (8), pp. 5053–5067. DOI: 10.1007/s11033-014-3371-7
7. Bůžková P., Lumley T., Rice K. Permutation and Parametric Bootstrap Tests for Gene-Gene and Gene-Environment Interactions. Annals of Human Genetics, 2011, vol. 75 (1), pp. 36–45. DOI: 10.1111/j.1469-1809.2010.00572.x
8. Jun H., Kim I., Lee H. et al. Song Effects of UCP2 and UCP3 Variants on the Manifestation of Overweight in Korean Children. Obesity, 2009, vol. 17 (2), pp. 355–362. DOI: 10.1038/oby.2008.531
9. Hu Y., Li L., Seidelmann S. et al. Identification of Association of Common AGGF1 Variants with Susceptibility for Klippel-Trenaunay Syndrome Using the Structure Association Program. Annals of Human Genetics, 2008, vol. 72 (5), pp. 636–643. DOI: 10.1111/j.1469-1809.2008.00458.x
10. Berentzen T., Dalgaard L., Petersen L. et al. Interactions Between Physical Activity and Variants of the Genes Encoding Uncoupling Proteins-2 and -3 in Relation to Body Weight Changes During a 10-y Follow-up. International Journal of Obesity, 2005, vol. 29 (1), pp. 93–99. DOI: 10.1038/sj.ijo.0802841
11. Pusch W., Wurmbach J., Thiele H. et al. MALDI-TOF Mass Spectrometry-Based SNP Genotyping. Pharmacogenomics, 2002, vol. 3 (4), pp. 537–548. DOI: 10.1517/14622416.3.4.537
12. Brondani L., Assmann, T., de Souza B. et al. Meta-Analysis Reveals the Association of Common Variants in the Uncoupling Protein (UCP) 1–3 Genes with Body Mass Index Variability. PloS One, 2014, vol. 9 (5), e96411. DOI: 10.1371/journal.pone.0096411
13. Patnala R., Clements J., Batra J. Candidate Gene Association Studies: a Comprehensive Guide to Useful in Silico Tools. BMC Genetics, 2013, vol. 14 (1), pp. 1–11. DOI: 10.1186/1471-2156-14-39
14. Nedergaard J., Golozoubova V., Matthias A. et al. UCP1: the Only Protein Able to Mediate Adaptive Non-Shivering Thermogenesis and Metabolic Inefficiency. Biochimica et Biophysica Acta (BBA)-Bioenergetics, 2001, vol. 1504 (1), pp. 82–106. DOI: 10.1016/S0005-2728(00)00247-4
15. Vidal-Puig A., Solanes G., Grujic D. et al. UCP3: an Uncoupling Protein Homologue Expressed Preferentially and Abundantly in Skeletal Muscle and Brown Adipose Tissue. Biochemical and Biophysical Research Communications, 1997, vol. 235 (1), pp. 79–82. DOI: 10.1006/bbrc.1997.6740
16. Leak T., Perlegas P., Smith P. et al. Variants in Intron 13 of the ELMO1 Gene are Associated with Diabetic Nephropathy in African Americans. Annals of Human Genetics, 2009, vol. 73 (2), pp. 152–159. DOI: 10.1111/j.1469-1809.2008.00498.x
17. Salopuro T., Pulkkinen L., Lindström J. et al. Variation in the UCP2 and UCP3genes Associates with Abdominal Obesity and Serum Lipids: The Finnish Diabetes Prevention Study. BMC Medical Genetics, 2009, vol. 10 (1), 94 p. DOI: 10.1186/1471-2350-10-94
Опубликован
2022-04-12
Как цитировать
Парфентьева, О. (2022). Т АЛЛЕЛЬ UCP3 (RS1800849) АССОЦИИРОВАН СО СНИЖЕННЫМ НАКОПЛЕНИЕМ ЖИРОВОЙ МАССЫ НЕЗАВИСИМО ОТ УРОВНЯ ФИЗИЧЕСКОЙ АКТИВНОСТИ. Человек. Спорт. Медицина, 22(1), 29-34. https://doi.org/10.14529/hsm220104
Выпуск
Раздел
Физиология
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