Literature DB >> 19798063

Comparison of lipid and fatty acid composition of the liver, subcutaneous and intra-abdominal adipose tissue, and serum.

Anna Kotronen1, Tuulikki Seppänen-Laakso, Jukka Westerbacka, Tuula Kiviluoto, Johanna Arola, Anna-Liisa Ruskeepää, Hannele Yki-Järvinen, Matej Oresic.   

Abstract

Ceramides may mediate saturated fat-induced insulin resistance, but there are no data comparing ceramide concentrations between human tissues. We therefore performed lipidomic analysis of human subcutaneous (SCfat) and intra-abdominal (IAfat) adipose tissue, the liver, and serum in eight subjects. The liver contained (nmol/mg tissue) significantly more ceramides (1.5-3-fold), sphingomyelins (7-8-fold), phosphatidylethanolamines (10-11-fold), lysophosphatidylcholines (7-12-fold), less ether-linked phosphatidylcholines (2-2.5-fold) but similar amounts of diacylglycerols as compared to SCfat and IAfat. The amounts of ceramides and their synthetic precursors, such as palmitic (16:0) free fatty acids and sphingomyelins, differed considerably between the tissues. The liver contained proportionally more palmitic, stearic (18:0), and long polyunsaturated fatty acids than adipose tissues. Stearoyl-CoA desaturase 1 (SCD1) activity reflected by serum, estimated from the 16:1/16:0-ratio, was closely related to that in the liver (r = 0.86, P = 0.024) but not adipose tissues. This was also true for estimated elongase (18:1/16:1, r = 0.89, P = 0.01), and Delta5 (20:4/20:3, r = 0.89, P = 0.012) and Delta6 (18:3[n-6]/18:2, r = 1.0, P < 0.001) desaturase activities. We conclude that the human liver contains higher concentrations of ceramides and saturated free fatty acids than either SCfat or IAfat.

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Year:  2009        PMID: 19798063     DOI: 10.1038/oby.2009.326

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  62 in total

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Review 2.  Lipidomics as a tool for the study of lipoprotein metabolism.

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3.  Plasma fatty acids as predictors of glycaemia and type 2 diabetes.

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Journal:  Diabetologia       Date:  2015-08-16       Impact factor: 10.122

4.  Interaction of fatty acid genotype and diet on changes in colonic fatty acids in a Mediterranean diet intervention study.

Authors:  Shannon R Porenta; Yi-An Ko; Stephen B Gruber; Bhramar Mukherjee; Ana Baylin; Jianwei Ren; Zora Djuric
Journal:  Cancer Prev Res (Phila)       Date:  2013-09-10

5.  Body and liver fat content and adipokines in schizophrenia: a magnetic resonance imaging and spectroscopy study.

Authors:  Jong-Hoon Kim; Jung-Hyun Kim; Pil-Whan Park; Jürgen Machann; Michael Roden; Sheen-Woo Lee; Jong-Hee Hwang
Journal:  Psychopharmacology (Berl)       Date:  2017-03-18       Impact factor: 4.530

Review 6.  Form(ul)ation of adipocytes by lipids.

Authors:  Kfir Lapid; Jonathan M Graff
Journal:  Adipocyte       Date:  2017-03-01       Impact factor: 4.534

7.  Estimated plasma stearoyl co-A desaturase-1 activity and risk of incident diabetes: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Lisa S Chow; Shuzhen Li; Lynn E Eberly; Elizabeth R Seaquist; John H Eckfeldt; Ron C Hoogeveen; David J Couper; Lyn M Steffen; James S Pankow
Journal:  Metabolism       Date:  2012-07-21       Impact factor: 8.694

8.  A Pilot Study of Serum Sphingomyelin Dynamics in Subjects with Severe Obesity and Non-alcoholic Steatohepatitis after Sleeve Gastrectomy.

Authors:  Bruno Ramos-Molina; Daniel Castellano-Castillo; Oscar Pastor; Luis Ocaña-Wilhelmi; Diego Fernández-García; Manuel Romero-Gómez; Fernando Cardona; Francisco J Tinahones
Journal:  Obes Surg       Date:  2019-03       Impact factor: 4.129

9.  Biomarkers of Ectopic Fat Deposition: The Next Frontier in Serum Lipidomics.

Authors:  Leigh Perreault; Anne P Starling; Deborah Glueck; Joseph T Brozinick; Phil Sanders; Parker Siddall; Ming Shang Kuo; Dana Dabelea; Bryan C Bergman
Journal:  J Clin Endocrinol Metab       Date:  2015-11-17       Impact factor: 5.958

10.  Multivariate multi-way analysis of multi-source data.

Authors:  Ilkka Huopaniemi; Tommi Suvitaival; Janne Nikkilä; Matej Oresic; Samuel Kaski
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

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