↓ Skip to main content

PLOS

TNF-alpha Is Required for the Attraction of Mesenchymal Precursors to White Adipose Tissue in Ob/ob Mice

Overview of attention for article published in PLOS ONE, February 2009
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
36 Mendeley
Title
TNF-alpha Is Required for the Attraction of Mesenchymal Precursors to White Adipose Tissue in Ob/ob Mice
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004444
Pubmed ID
Authors

Beatriz G. Gálvez, Nuria San Martín, Carlos Rodríguez

Abstract

Most adult tissues harbour a stem cell subpopulation (Mesenchymal Precursors or MPs) that represent a small proportion of the total cell number and have the potential to differentiate into several cell types within the mesenchymal lineage. In adipose tissue, adipocytes account for two-thirds of the total cell number. The remaining cells include blood and endothelial cells, along with adipocyte precursors (adipose MPs). Obesity is defined as an excess of body fat that frequently results in a significant impairment of health. The ob/ob mice bear a mutation in the ob gene that causes a deficiency in the hormone leptin and hence obesity. Here, we present evidence that ob/ob mice have a dramatic decrease in the resident MP pool of several tissues, including squeletal muscle, heart, lung and adipose tissue. Moreover, we show that that there is a migration of MP cells from distant organs, as well as homing of these cells to the adipose tissue mass of the ob/ob mice. We call this process adipotaxis. Once in the adipose tissue, migrant MPs undergoe adipose differentiation, giving rise to new differentiated adipocytes within the adipose mass. Finally, we provide evidence that adipotaxis is largely explained by the production of high levels of Tumor Necrosis Factor-alpha (TNF-alpha) within the ob/ob adipose tissue. The therapeutic implications for human obesity as well as for regenerative medicine are further discussed in this paper.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Switzerland 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Researcher 5 14%
Student > Bachelor 5 14%
Student > Doctoral Student 3 8%
Lecturer 2 6%
Other 6 17%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 44%
Medicine and Dentistry 9 25%
Biochemistry, Genetics and Molecular Biology 5 14%
Nursing and Health Professions 1 3%
Engineering 1 3%
Other 0 0%
Unknown 4 11%