open access

Vol 3, No 2 (2018)
Original article
Published online: 2018-07-31
Get Citation

Relationship of serum leptin with parameters of nutritional status and body composition among patients with stable course of cardiovascular disorders

Anna Wawrzeńczyk1, Marzena Anaszewicz1, Wioletta Banaś1, Marta Spychalska-Zwolińska1, Ewa Socha2, Kinga Lis2, Magdalena Żbikowska-Gotz2, Zbigniew Bartuzi2, Jacek Budzyński1
·
Medical Research Journal 2018;3(2):89-97.
Affiliations
  1. Collegium Medicum, Nicolaus Copernicus University, Toruń, Poland
  2. Department of Allergology, Clinical Immunology and Internal Diseases, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Poland

open access

Vol 3, No 2 (2018)
ORIGINAL ARTICLES
Published online: 2018-07-31

Abstract

Background: Blood leptin concentration is related to fat mass, adipose cell and leptin receptor function, and

comorbidities. The aim of this study is to determine the relationships between blood leptin concentration

and nutritional status assessment among inpatients with stable cardiovascular disorders.

Materials and Methods: Blood leptin concentration and nutritional risk and status assessments using clinical,

anthropometric and biochemical parameters, as well bioelectrical impedance (BIA), were determined in

160 consecutive inpatients with mild exacerbation of cardiovascular diseases cardiovascular disorders

undergoing non-urgent hospitalization.

Results: Patients with lower values of Minimal Nutritional Assessment score had lower blood leptin concentration

and lower value of leptin to CRP ratio. Compared to patients with leptin concentration in the

upper quartiles, individuals in the lowest quartile had a lower BMI and fat mass, thinner skinfolds, greater

skeletal muscle mass and handgrip strength. In comparison with the values for leptin-to-CRP ratio, albumin,

albumin-to-CRP ratio and lymphocyte count, leptin explained a greater part of the variance in the majority

of parameters of nutritional status and body composition. Contrasting associations of leptin with ideal

(negative) and current (positive) body mass were found.

Conclusions: Leptin was associated with parameters of nutritional status assessments more strongly

than other biochemical parameters usually used. However, the use of leptin as a biomarker of nutritional

status should be approached carefully and needs further evaluation, especially in the context of its strong

association with both current and ideal body mass, the importance of receptors’ resistance to leptin, and

leptin’s negative relationships with muscle mass and strength.

Abstract

Background: Blood leptin concentration is related to fat mass, adipose cell and leptin receptor function, and

comorbidities. The aim of this study is to determine the relationships between blood leptin concentration

and nutritional status assessment among inpatients with stable cardiovascular disorders.

Materials and Methods: Blood leptin concentration and nutritional risk and status assessments using clinical,

anthropometric and biochemical parameters, as well bioelectrical impedance (BIA), were determined in

160 consecutive inpatients with mild exacerbation of cardiovascular diseases cardiovascular disorders

undergoing non-urgent hospitalization.

Results: Patients with lower values of Minimal Nutritional Assessment score had lower blood leptin concentration

and lower value of leptin to CRP ratio. Compared to patients with leptin concentration in the

upper quartiles, individuals in the lowest quartile had a lower BMI and fat mass, thinner skinfolds, greater

skeletal muscle mass and handgrip strength. In comparison with the values for leptin-to-CRP ratio, albumin,

albumin-to-CRP ratio and lymphocyte count, leptin explained a greater part of the variance in the majority

of parameters of nutritional status and body composition. Contrasting associations of leptin with ideal

(negative) and current (positive) body mass were found.

Conclusions: Leptin was associated with parameters of nutritional status assessments more strongly

than other biochemical parameters usually used. However, the use of leptin as a biomarker of nutritional

status should be approached carefully and needs further evaluation, especially in the context of its strong

association with both current and ideal body mass, the importance of receptors’ resistance to leptin, and

leptin’s negative relationships with muscle mass and strength.

Get Citation

Keywords

leptin; nutritional status assessment; nutritional risk; cardiovascular disorders

About this article
Title

Relationship of serum leptin with parameters of nutritional status and body composition among patients with stable course of cardiovascular disorders

Journal

Medical Research Journal

Issue

Vol 3, No 2 (2018)

Article type

Original article

Pages

89-97

Published online

2018-07-31

Page views

641

Article views/downloads

740

DOI

10.5603/MRJ.2018.0015

Bibliographic record

Medical Research Journal 2018;3(2):89-97.

Keywords

leptin
nutritional status assessment
nutritional risk
cardiovascular disorders

Authors

Anna Wawrzeńczyk
Marzena Anaszewicz
Wioletta Banaś
Marta Spychalska-Zwolińska
Ewa Socha
Kinga Lis
Magdalena Żbikowska-Gotz
Zbigniew Bartuzi
Jacek Budzyński

References (27)
  1. Geisler C, Schweitzer L, Müller MJ. Functional correlates of detailed body composition in healthy elderly subjects. J Appl Physiol (1985). 2018; 124(1): 182–189.
  2. Budzyński J, Tojek K, Czerniak B, et al. Scores of nutritional risk and parameters of nutritional status assessment as predictors of in-hospital mortality and readmissions in the general hospital population. Clin Nutr. 2016; 35(6): 1464–1471.
  3. Özbilgin Ş, Hanc V, Ömür D, et al. Morbidity and mortality predictivity of nutritional assessment tools in the postoperative care unit. Medicine (Baltimore). 2016; 95(40): e5038.
  4. Lau WB, Ohashi K, Wang Y, et al. Role of Adipokines in Cardiovascular Disease. Circ J. 2017; 81(7): 920–928.
  5. Ghantous CM, Azrak Z, Hanache S, et al. Differential Role of Leptin and Adiponectin in Cardiovascular System. Int J Endocrinol. 2015; 2015: 534320.
  6. Farr OM, Gavrieli A, Mantzoros CS. Leptin applications in 2015: what have we learned about leptin and obesity? Curr Opin Endocrinol Diabetes Obes. 2015; 22(5): 353–359.
  7. Engin A. Endothelial dysfunction in obesity. Adv Exp Med Biol. 2017; 960: 345–79.
  8. Karvonen-Gutierrez CA, Zheng H, Mancuso P, et al. Higher Leptin and Adiponectin Concentrations Predict Poorer Performance-based Physical Functioning in Midlife Women: the Michigan Study of Women's Health Across the Nation. J Gerontol A Biol Sci Med Sci. 2016; 71(4): 508–514.
  9. Wannamethee SG, Shaper AG, Whincup PH, et al. The obesity paradox in men with coronary heart disease and heart failure: the role of muscle mass and leptin. Int J Cardiol. 2014; 171(1): 49–55.
  10. Flier JS, Maratos-Flier E. Leptin's Physiologic Role: Does the Emperor of Energy Balance Have No Clothes? Cell Metab. 2017; 26(1): 24–26.
  11. Hamrick MW. Role of the Cytokine-like Hormone Leptin in Muscle-bone Crosstalk with Aging. J Bone Metab. 2017; 24(1): 1–8.
  12. Ruegsegger GN, Booth FW. Running from Disease: Molecular Mechanisms Associating Dopamine and Leptin Signaling in the Brain with Physical Inactivity, Obesity, and Type 2 Diabetes. Front Endocrinol (Lausanne). 2017; 8: 109.
  13. Guadalupe-Grau A, Larsen S, Guerra B, et al. Influence of age on leptin induced skeletal muscle signalling. Acta Physiol (Oxf). 2014; 211(1): 214–228.
  14. Lipsey CC, Harbuzariu A, Daley-Brown D, et al. Oncogenic role of leptin and Notch interleukin-1 leptin crosstalk outcome in cancer. World J Methodol. 2016; 6(1): 43–55.
  15. Frühbeck G, Catalán V, Rodríguez A, et al. Involvement of the leptin-adiponectin axis in inflammation and oxidative stress in the metabolic syndrome. Sci Rep. 2017; 7(1): 6619.
  16. Kaiser MJ, Bauer JM, Ramsch C, et al. MNA-International Group. Validation of the Mini Nutritional Assessment short-form (MNA-SF): a practical tool for identification of nutritional status. J Nutr Health Aging. 2009; 13(9): 782–788.
  17. Abd-El-Gawad WM, Abou-Hashem RM, El Maraghy MO, et al. The validity of Geriatric Nutrition Risk Index: simple tool for prediction of nutritional-related complication of hospitalized elderly patients. Comparison with Mini Nutritional Assessment. Clin Nutr. 2014; 33(6): 1108–1116.
  18. Bouillanne O, Morineau G, Dupont C, et al. Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr. 2005; 82(4): 777–783.
  19. Hijjawi NS, Al-Radaideh AM, Al-Fayomi KI, et al. Relationship of serum leptin with some biochemical, anthropometric parameters and abdominal fat volumes as measured by magnetic resonance imaging. Diabetes Metab Syndr. 2018; 12(3): 207–213.
  20. Fan SH, Say YH. Leptin and leptin receptor gene polymorphisms and their association with plasma leptin levels and obesity in a multi-ethnic Malaysian suburban population. J Physiol Anthropol. 2014; 33: 15.
  21. Gubelmann C, Vollenweider P, Marques-Vidal P. Association of grip strength with cardiovascular risk markers. Eur J Prev Cardiol. 2017; 24(5): 514–521.
  22. Bucci L, Yani SL, Fabbri C, et al. Circulating levels of adipokines and IGF-1 are associated with skeletal muscle strength of young and old healthy subjects. Biogerontology. 2013; 14(3): 261–272.
  23. Rachakonda V, Borhani AA, Dunn MA, et al. Serum Leptin Is a Biomarker of Malnutrition in Decompensated Cirrhosis. PLoS One. 2016; 11(9): e0159142.
  24. Sakuma K, Yamaguchi A. Sarcopenic obesity and endocrinal adaptation with age. Int J Endocrinol. 2013; 2013: 204164.
  25. Shida T, Akiyama K, Oh S, et al. Skeletal muscle mass to visceral fat area ratio is an important determinant affecting hepatic conditions of non-alcoholic fatty liver disease. J Gastroenterol. 2018; 53(4): 535–547.
  26. Padwal R, Leslie WD, Lix LM, et al. Relationship Among Body Fat Percentage, Body Mass Index, and All-Cause Mortality: A Cohort Study. Ann Intern Med. 2016; 164(8): 532–541.
  27. Guerra B, Ponce-González JG, Morales-Alamo D, et al. Leptin signaling in skeletal muscle after bed rest in healthy humans. Eur J Appl Physiol. 2014; 114(2): 345–357.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Group sp. z o.o., ul. Świętokrzyska 73, 80–180 Gdańsk, Poland
tel.:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl