Weight Loss in Tumour-Bearing Mice Is Not Associated with Changes in Resistin Gene Expression in White Adipose Tissue

2002 ◽  
Vol 34 (11/12) ◽  
pp. 674-677 ◽  
Author(s):  
J. Gómez-Ambrosi ◽  
N. Zabalegui ◽  
C. Bing ◽  
M. J. Tisdale ◽  
P. Trayhurn ◽  
...  
Cell Reports ◽  
2020 ◽  
Vol 33 (1) ◽  
pp. 108228 ◽  
Author(s):  
John M. Dean ◽  
Anyuan He ◽  
Min Tan ◽  
Jun Wang ◽  
Dongliang Lu ◽  
...  

2000 ◽  
Vol 279 (6) ◽  
pp. R2329-R2335 ◽  
Author(s):  
Paul Trayhurn ◽  
Jacqueline S. Duncan ◽  
Anne M. Wood ◽  
John H. Beattie

White adipose tissue (WAT) has been examined to determine whether the gene encoding metallothionein (MT), a low-molecular-weight stress response protein, is expressed in the tissue and whether MT may be a secretory product of adipocytes. The MT-1 gene was expressed in epididymal WAT, with MT-1 mRNA levels being similar in lean and obese ( ob/ ob) mice. MT-1 mRNA was found in each of the main adipose tissue sites (epididymal, perirenal, omental, subcutaneous), and there was no major difference between depots. Separation of adipocytes from the stromal-vascular fraction of WAT indicated that the MT gene (MT-1 and MT-2) was expressed in adipocytes themselves. Treatment of mice with zinc had no effect on MT-1 mRNA levels in WAT, despite strong induction of MT-1 expression in the liver. MT-1 gene expression in WAT was also unaltered by fasting or norepinephrine. However, administration of a β3-adrenoceptor agonist, BRL-35153A, led to a significant increase in MT-1 mRNA. On differentiation of fibroblastic preadipocytes to adipocytes in primary culture, MT was detected in the medium, suggesting that the protein may be secreted from WAT. It is concluded that WAT may be a significant site of MT production; within adipocytes, MT could play an antioxidant role in protecting fatty acids from damage.


2011 ◽  
Vol 12 (1) ◽  
pp. 136
Author(s):  
M. Saukko ◽  
E. Malo ◽  
M. Santaniemi ◽  
M. Hietaniemi ◽  
O. Ukkola ◽  
...  

2011 ◽  
Vol 55 (10) ◽  
pp. 1466-1474 ◽  
Author(s):  
Yvonne G. J. van Helden ◽  
Roger W. L. Godschalk ◽  
Johannes von Lintig ◽  
Georg Lietz ◽  
Jean-Francois Landrier ◽  
...  

Obesity ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Candida J. Rebello ◽  
Frank L. Greenway ◽  
Frank H. Lau ◽  
Yuan Lin ◽  
Jacqueline M. Stephens ◽  
...  

Genes ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 525 ◽  
Author(s):  
Samar Tareen ◽  
Michiel Adriaens ◽  
Ilja Arts ◽  
Theo de Kok ◽  
Roel Vink ◽  
...  

Obesity is a global epidemic identified as a major risk factor for multiple chronic diseases and, consequently, diet-induced weight loss is used to counter obesity. The adipose tissue is the primary tissue affected in diet-induced weight loss, yet the underlying molecular mechanisms and changes are not completely deciphered. In this study, we present a network biology analysis workflow which enables the profiling of the cellular processes affected by weight loss in the subcutaneous adipose tissue. Time series gene expression data from a dietary intervention dataset with two diets was analysed. Differentially expressed genes were used to generate co-expression networks using a method that capitalises on the repeat measurements in the data and finds correlations between gene expression changes over time. Using the network analysis tool Cytoscape, an overlap network of conserved components in the co-expression networks was constructed, clustered on topology to find densely correlated genes, and analysed using Gene Ontology enrichment analysis. We found five clusters involved in key metabolic processes, but also adipose tissue development and tissue remodelling processes were enriched. In conclusion, we present a flexible network biology workflow for finding important processes and relevant genes associated with weight loss, using a time series co-expression network approach that is robust towards the high inter-individual variation in humans.


2016 ◽  
Vol 33 (4) ◽  
pp. 381-391 ◽  
Author(s):  
Yanyan Shen ◽  
Huiqiao Zhou ◽  
Wanzhu Jin ◽  
Hyuek Jong Lee

SciVee ◽  
2012 ◽  
Author(s):  
Lovisa Johansson ◽  
Anders Danielsson ◽  
Hemang Parikh ◽  
Maria Klintenberg ◽  
Fredrik Norström ◽  
...  

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