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Mutant Amyloid Precursor Protein Differentially Alters Adipose Biology under Obesogenic and Non-Obesogenic Conditions

Overview of attention for article published in PLOS ONE, August 2012
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Title
Mutant Amyloid Precursor Protein Differentially Alters Adipose Biology under Obesogenic and Non-Obesogenic Conditions
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043193
Pubmed ID
Authors

Linnea R. Freeman, Le Zhang, Kalavathi Dasuri, Sun-Ok Fernandez-Kim, Annadora J. Bruce-Keller, Jeffrey N. Keller

Abstract

Mutations in amyloid precursor protein (APP) have been most intensely studied in brain tissue for their link to Alzheimer's disease (AD) pathology. However, APP is highly expressed in a variety of tissues including adipose tissue, where APP is also known to exhibit increased expression in response to obesity. In our current study, we analyzed the effects of mutant APP (E693Q, D694N, K670N/M671L) expression toward multiple aspects of adipose tissue homeostasis. These data reveal significant hypoleptinemia, decreased adiposity, and reduced adipocyte size in response to mutant APP, and this was fully reversed upon high fat diet administration. Additionally, mutant APP was observed to significantly exacerbate insulin resistance, triglyceride elevations, and macrophage infiltration of adipose tissue in response to a high fat diet. Taken together, these data have significant implications for linking mutant APP expression to adipose tissue dysfunction and global changes in endocrine and metabolic function under both obesogenic and non-obesogenic conditions.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 23%
Researcher 5 14%
Professor 4 11%
Student > Ph. D. Student 3 9%
Professor > Associate Professor 2 6%
Other 6 17%
Unknown 7 20%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 5 14%
Neuroscience 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Social Sciences 1 3%
Other 3 9%
Unknown 9 26%