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Age-Dependent Changes in the Sphingolipid Composition of Mouse CD4+ T Cell Membranes and Immune Synapses Implicate Glucosylceramides in Age-Related T Cell Dysfunction

Overview of attention for article published in PLOS ONE, October 2012
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Title
Age-Dependent Changes in the Sphingolipid Composition of Mouse CD4+ T Cell Membranes and Immune Synapses Implicate Glucosylceramides in Age-Related T Cell Dysfunction
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047650
Pubmed ID
Authors

Alberto Molano, Zhaofeng Huang, Melissa G. Marko, Angelo Azzi, Dayong Wu, Elaine Wang, Samuel L. Kelly, Alfred H. Merrill, Stephen C. Bunnell, Simin Nikbin Meydani

Abstract

To determine whether changes in sphingolipid composition are associated with age-related immune dysfunction, we analyzed the core sphingolipidome (i.e., all of the metabolites through the first headgroup additions) of young and aged CD4(+) T cells. Since sphingolipids influence the biophysical properties of membranes, we evaluated the compositions of immune synapse (IS) and non-IS fractions prepared by magnetic immuno-isolation. Broadly, increased amounts of sphingomyelins, dihydrosphingomyelins and ceramides were found in aged CD4(+) T cells. After normalizing for total sphingolipid content, a statistically significant decrease in the molar fraction of glucosylceramides was evident in both the non-IS and IS fractions of aged T cells. This change was balanced by less dramatic increases in the molar fractions of sphingomyelins and dihydrosphingomyelins in aged CD4(+) T cells. In vitro, the direct or enzymatic enhancement of ceramide levels decreased CD4(+) T cell proliferation without regard for the age of the responding T cells. In contrast, the in vitro inhibition of glucosylceramidase preferentially increased the proliferation of aged CD4(+) T cells. These results suggest that reductions in glucosylceramide abundance contribute to age-related impairments in CD4(+) T cell function.

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Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Student > Ph. D. Student 8 25%
Professor > Associate Professor 3 9%
Professor 3 9%
Other 1 3%
Other 3 9%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 34%
Biochemistry, Genetics and Molecular Biology 6 19%
Chemistry 4 13%
Medicine and Dentistry 3 9%
Immunology and Microbiology 2 6%
Other 0 0%
Unknown 6 19%