Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

biochemistry, genetics and molecular biology

Depot- and ethnic-specific differences in the relationship between adipose tissue inflammation and insulin sensitivity

Clinical Endocrinology, Volume 74, No. 1, Year 2011

Objective It is unclear whether there are differences in inflammatory gene expression between abdominal and gluteal subcutaneous adipose tissue (SAT), and between black and white women. We therefore tested the hypotheses that SAT inflammatory gene expression is greater in the abdominal compared to the gluteal depot, and SAT inflammatory gene expression is associated with differential insulin sensitivity (SI) in black and white women. Design and methods SI (frequently sampled intravenous glucose tolerance test) and abdominal SAT and gluteal SAT gene expression levels of 13 inflammatory genes were measured in normal-weight (BMI 18-25 kg/m2) and obese (BMI >30 kg/m2) black (n = 30) and white (n = 26) South African women. Results Black women had higher abdominal and gluteal SAT expression of CCL2, CD68, TNF-α and CSF-1 compared to white women (P < 0·01). Multivariate analysis showed that inflammatory gene expression in the white women explained 56·8% of the variance in SI (P < 0·005), compared to 20·9% in black women (P = 0·30). Gluteal SAT had lower expression of adiponectin, but higher expression of inflammatory cytokines, macrophage markers and leptin than abdominal SAT depots (P < 0·05). Conclusions Black South African women had higher inflammatory gene expression levels than white women; however, the relationship between AT inflammation and SI was stronger in white compared to black women. Further research is required to explore other factors affecting SI in black populations. Contrary to our original hypothesis, gluteal SAT had a greater inflammatory gene expression profile than abdominal SAT depots. The protective nature of gluteo-femoral fat therefore requires further investigation. © 2010 Blackwell Publishing Ltd.
Statistics
Citations: 64
Authors: 13
Affiliations: 3
Identifiers
Research Areas
Genetics And Genomics
Participants Gender
Female