Aging is associated with an increase in T cells and inflammatory macrophages in visceral adipose tissue

Carey N. Lumeng, Jianhua Liu, Lynn Geletka, Colin Delaney, Jennifer Delproposto, Anjali Desai, Kelsie Oatmen, Gabriel Martinez-Santibanez, Annabelle Julius, Sanjay Garg, Raymond L. Yung

Research output: Contribution to journalArticlepeer-review

223 Scopus citations

Abstract

Age-related adiposity has been linked to chronic inflammatory diseases in late life. To date, the studies on adipose tissue leukocytes and aging have not taken into account the heterogeneity of adipose tissue macrophages (ATMs), nor have they examined how age impacts other leukocytes such as T cells in fat. Therefore, we have performed a detailed examination of ATM subtypes in young and old mice using state of the art techniques. Our results demonstrate qualitative changes in ATMs with aging that generate a decrease in resident type 2 (M2) ATMs. The profile of ATMs in old fat shifts toward a proinflammatory environment with increased numbers of CD206 -CD11c - (double-negative) ATMs. The mechanism of this aging-induced shift in the phenotypic profile of ATMs was found to be related to a decrease in peroxisome proliferator-activated receptor-γ expression in ATMs and alterations in chemokine/chemokine receptor expression profiles. Furthermore, we have revealed a profound and unexpected expansion of adipose tissue T cells in visceral fat with aging that includes a significant induction of regulatory T cells in fat. Our findings demonstrate a unique inflammatory cell signature in the physiologic context of aging adipose tissue that differs from those induced in setting of diet-induced obesity.

Original languageEnglish
Pages (from-to)6208-6216
Number of pages9
JournalJournal of Immunology
Volume187
Issue number12
DOIs
StatePublished - 15 Dec 2011
Externally publishedYes

Fingerprint

Dive into the research topics of 'Aging is associated with an increase in T cells and inflammatory macrophages in visceral adipose tissue'. Together they form a unique fingerprint.

Cite this