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Interrelationship between serum lipid profile, serum hormones and other components of the metabolic syndrome

Interrelaciones entre el perfil lipídico del plasma y las hormonas plasmáticas y otros componentes del síndrome metabólico

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Abstract

The aim of the present study was to investigate the association between the serum lipid profile and components of the metabolic syndrome, such as central obesity (anthropometric, computed tomography and fat cell data), insulin, sex-hormonebinding-globulin (SHBG) and different hormones influencing this important syndrome, e.g. sex steroids, leptin and tumor necrosis factor-alpha (TNF-α). The sample consisted of 85 obese patients (30 men and 55 women) who had undergone abdominal surgery. Fasting serum lipids were analysed, as well as anthropometric and computed tomography data, perivisceral and subcutaneous fat cell size and serum glucose and hormones. Abdominal fat revealed itself as an important correlator of the adverse changes in plasma lipoprotein levels, the waist-to-hip-ratio and waist-to-thigh-ratio being the best morphological correlators in men and women, respectively. Intra-abdominal fat (VA) correlated significantly and positively to perivisceral fat cell size in women, while no correlation was found between subcutaneous fat accumulation (SA) and adipocyte size in both genders. Perivisceral fat cell size showed the greatest number of correlations with the adverse plasma lipid profile compared to that in the subcutaneous depot. SHBG and sex steroids showed a negative correlation with serum lipids considered a cardiovascular risk. In contrast, TNF-α and C-peptide were inversely correlated with potential protector lipids. In conclusion, abdominal obesity, adipocyte hypertrophy from visceral fat, serum TNF-α and C-peptide seem to be the best correlators of the lipoprotein disturbance characteristic of the metabolic syndrome, whereas SHBG and sex steroids could play a protective role regarding the lipid profile associated to this syndrome.

Resumen

Se investiga la asociación entre el perfil lipídico del plasma y algunos componentes del síndrome metabólico, tales como la obesidad central, y los niveles de insulina, proteína transportadora de hormonas sexuales (SHBG), esteroides sexuales, leptina y factor de necrosis tumoral alfa TNFα. La muestra incluye 85 pacientes obesos (30 hombres y 55 mujeres) sometidos a cirugía abdominal. Analizados los lípidos plasmáticos en ayunas, datos antropométricosy de tomografía computerizada, tamaño del adipocito en grasa subcutánea y perivisceral y los valores plasmáticos de glucosa y hormonas, se observa correlación entre grasa abdominal y alteraciones de los valores plasmáticos de lipoproteínas, siendo los índices cintura-cadera y cintura-muslo los parámetros morfológicos que mejor correlación presenta en hombres y mujeres, respectivamente. La grasa intraabdominal (VA) se correlaciona significativa y positivamente con el tamaño del adipocito perivisceral en mujeres, mientras que no se encuentra correlación entre el tamaño adipocitario y la grasa subcutánea (SA) para ningún género. El tamaño adipocitario perivisceral presenta mayor número de correlaciones con el perfil lipídico desfavorable del plasma, comparado con el subcutáneo. Los esteroides sexuales y SHBG se correlacionan negativamente con los lípidos plasmáticos considerados de riesgo cardiovascular. Por el contrario, el péptido C y el TNFα lo hacen con lípidos potencialmente protectores. En conclusión, la obesidad abdominal y la hipertrofia de los adipocitos de la grasa visceral, junto con el péptido C y el TNFα plasmáticos se asocian positivamente con la alteración de las lipoproteínas característica del síndrome metabólico, mientras que los esteroides sexuales y SHBG parecen desempeñar un papel protector respecto del perfil lipídico.

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References

  1. Abate, N., Garg, A., Peshock, R. M., Stray-Gundersen, J. and Grundy, S. M. (1995):J. Clin. Inv.,96, 88–98.

    Article  CAS  Google Scholar 

  2. Björntorp, P. (1993):Obes. Res.,1, 216–222.

    Google Scholar 

  3. Björntorp, P. (1998): In “Handbook of Obesity” (Bray, G. A., Bouchard, C. and James, W. P. T., eds.), Marcel Dekker, New York, pp. 573–600.

    Google Scholar 

  4. B. M. D. P. (1985): “Statistical software”, University of California Press, London.

    Google Scholar 

  5. Castelo-Branco, C., Casals, E., Martínez de Osaba, M. J., Shanllehy, C. and Fortuny, A. (1996):Acta Obstet. Gynecol. Scand.,75, 261–265.

    Article  CAS  PubMed  Google Scholar 

  6. Davis, S. R., McCloud, P., Strauss, B. J. and Burger, H. (1995):Maturitas,21, 227–236.

    Article  CAS  PubMed  Google Scholar 

  7. Dobbelsteyn, C. J., Joffres, M. R., MacLean, D. R., Flowerdew, G. and the Canadian Heart Health Surveys Research Group. (2001):Int. J. Obes.,25, 652–661.

    Article  CAS  Google Scholar 

  8. Durnin, J. V. G. A. and Rahaman, M. M. (1967):Br. J. Nut.,21, 681–689.

    Article  CAS  Google Scholar 

  9. Faust, T. (1981): In: “Recent advances in obesity research” (Björntorp, P., Cairella, M. and Howard, A. N., eds.), John Libbey, London.

    Google Scholar 

  10. Garaulet, M., Pérez-Llamas, F., Fuente, T., Zamora, S. and Tébar, F. J. (2000):Eur. J. Endoc.,143, 657–666.

    Article  CAS  Google Scholar 

  11. Goodpaster, B. H., Leland-Thaete, F., Simoneau, J. A. and Kelley, D. E. (1997):Diabetes,46, 1579–1585.

    Article  CAS  PubMed  Google Scholar 

  12. Grundy, S. M. (1980): In “Atherosclerosis-V” (Gotto, A. M., Smith, L. C. and Allen, B., eds.), Springer, New York, pp. 586–589.

    Google Scholar 

  13. Haffner, S. M., Valdez, R. A., Stern, M. P. and Katz, M. S. (1993):Int. J. Obes.,17, 643–649.

    CAS  Google Scholar 

  14. Haffnet, S. M. and Valdez, R. A. (1995):Am. J. Med.,98, 40S-47S.

    Article  Google Scholar 

  15. Haluzik, M., Fiedler, J., Nedvidkova, J. and Ceska, R. (1999):Physiol. Res.,48, 363–368.

    CAS  PubMed  Google Scholar 

  16. Haluzik, M., Fiedler, J., Nedvidkova, J. and Ceska, R. (2000):Nutrition,16, 429–433.

    Article  CAS  PubMed  Google Scholar 

  17. Hautanen, A. (2000):Int. J. Obes.,24, Suppl. 2, S64-S70.

    Article  CAS  Google Scholar 

  18. Horsten, M., Mittleman, M. A., Wamala, S. P., Schenck-Gustafsson, K. and Orth-Gomer, K. (1999):J. Cardiovascular Risk,6, 391–397.

    CAS  Google Scholar 

  19. Larsson, B., Svärdsudd, K., Welin, L., Wihelmsen, L., Björntorp, P. and Tibblin, G. (1984):Br. Med. J.,288, 1401–1404.

    Article  CAS  Google Scholar 

  20. Levy, R. I. (1981):Clinical Chem.,27, 653–662.

    CAS  Google Scholar 

  21. Megnien, J. L., Denarie, N., Cocaul, M., Simon, A. and Levenson, J. (1999):Int. J. Obes.,23, 90–97.

    Article  CAS  Google Scholar 

  22. Öhrvall, M., Berglund, L. and Vessby, B. (2000):Int. J. Obes.,24, 497–501.

    Article  Google Scholar 

  23. Pollare, T., Vessby, B. and Lithell, H. (1991):Arterioscler. Thromb.,11, 1192–1203.

    CAS  PubMed  Google Scholar 

  24. Pouliot, M. C., Deprés, J. P., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A.et al. (1994):Am. J. Cardiol.,73, 460–468.

    Article  CAS  PubMed  Google Scholar 

  25. Reaven, G. M. and Chen, Y. D. I. (1988):Diabetes Metab.,4, 639–652.

    Article  CAS  Google Scholar 

  26. Sarrel, P. M. (1998):Semin. Reprod. Endocrinol.,16, 121–128.

    Article  CAS  PubMed  Google Scholar 

  27. Shono, N., Kumagai, S., Higaki, Y., Nishizumi, M. and Sasaki, H. (1998):J. Ather. Thromb.,3, 41–51.

    Google Scholar 

  28. Simon, D., Charles, M. A., Nahoul, K., Orssaud, G., Kremski, J., Hully, V., Joubert, E., Papoz, L. and Eschwege, E. (1997):J. Clin. Endoc. Metab.,82, 682–685.

    Article  CAS  Google Scholar 

  29. Sjöström, L., Björntorp, P. and Vrana, J. (1972):J. L. Res.,12, 521–530.

    Google Scholar 

  30. Sjöström, L. (1991):Int. J. Obes.,15, 19–30.

    PubMed  Google Scholar 

  31. Spiegelman, B. M. and Flier, J. S. (2001):Cell,23, 531–543.

    Article  Google Scholar 

  32. Tai, E. S., Lau, T. N., Ho, S. C., Fok, A. C. and Tan, C. E. (2000):Int. J. Obes.,24, 751–757.

    Article  CAS  Google Scholar 

  33. Tauri, S., Tokunaga, K., Fujioka, S. and Matsuzawa, Y. (1991):Int. J. Obes.,15, 1–8.

    Google Scholar 

  34. Tchernof, A., Toth, M. J. and Poehlman, E. T. (1999):Diabetes Care,22, 1875–1881.

    Article  CAS  PubMed  Google Scholar 

  35. Terry, R. B., Stefanick, M. L., Haskell, W. L. and Wood, P. D. (1991):Metabolism,40, 733–740.

    Article  CAS  PubMed  Google Scholar 

  36. Valdez, R., Seidell, J. C., Ahn, Y. I. and Weiss, K. M. (1993):Int. J. Obes.,17, 77–82.

    CAS  Google Scholar 

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Authors and Affiliations

  1. Departmento de Fisiología, Universidad de Murcia, Campus de Espinardo, 30100, Murcia

    M. Garaulet, F. Pérez-Llamas & S. Zamora

  2. Servicio de Endocrinología, Hospital Universitario “Virgen de la Arrixaca”, Murcia, (Spain)

    F. J. Tebar

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  1. M. Garaulet
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  2. F. Pérez-Llamas
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  3. S. Zamora
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  4. F. J. Tebar
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Correspondence to M. Garaulet.

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Garaulet, M., Pérez-Llamas, F., Zamora, S. et al. Interrelationship between serum lipid profile, serum hormones and other components of the metabolic syndrome. J. Physiol. Biochem. 58, 151–160 (2002). https://doi.org/10.1007/BF03179852

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  • DOI: https://doi.org/10.1007/BF03179852

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