Glucocorticoid receptor gene expression in adipose tissue and associated metabolic risk in black and white South African women

2014 ◽  
Vol 39 (2) ◽  
pp. 303-311 ◽  
Author(s):  
J H Goedecke ◽  
E Chorell ◽  
D E W Livingstone ◽  
R H Stimson ◽  
P Hayes ◽  
...  
Keyword(s):  
Gene Expression ◽  
Adipose Tissue ◽  
South African ◽  
Receptor Gene ◽  
African Women ◽  
Metabolic Risk ◽  
Black And White ◽  
Glucocorticoid Receptor Gene ◽  
South African Women ◽  
Receptor Gene Expression

scholarly journals Differential Effects of Abdominal Adipose Tissue Distribution on Insulin Sensitivity in Black and White South African Women

Obesity ◽  
2009 ◽  
Vol 17 (8) ◽  
pp. 1506-1512 ◽  
Author(s):  
Julia H. Goedecke ◽  
Naomi S. Levitt ◽  
Estelle V. Lambert ◽  
Kristina M. Utzschneider ◽  
Mirjam V. Faulenbach ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Insulin Sensitivity ◽  
Tissue Distribution ◽  
South African ◽  
African Women ◽  
Abdominal Adipose Tissue ◽  
Differential Effects ◽  
Black And White ◽  
Adipose Tissue Distribution ◽  
South African Women

Hypoxia and extra-cellular matrix gene expression in adipose tissue associates with reduced insulin sensitivity in black South African women

Endocrine ◽  
2016 ◽  
Vol 55 (1) ◽  
pp. 144-152 ◽  
Author(s):  
Liske M. Kotzé-Hörstmann ◽  
Dheshnie Keswell ◽  
Kevin Adams ◽  
Thandiwe Dlamini ◽  
Julia H. Goedecke
Keyword(s):  
Gene Expression ◽  
Adipose Tissue ◽  
Insulin Sensitivity ◽  
South African ◽  
Extra Cellular Matrix ◽  
African Women ◽  
Black South African ◽  
Matrix Gene ◽  
South African Women ◽  
Cellular Matrix

Lower glucocorticoid receptor gene expression and glucocorticoid receptor variants are associated with cocaine use and addiction

2017 ◽  
Vol 83 ◽  
pp. 81 ◽  
Author(s):  
Andrea B. Schote ◽  
Kristina Jäger ◽  
Sara L. Kroll ◽  
Matthias Vonmoos ◽  
Lea M. Hulka ◽  
...  
Keyword(s):  
Gene Expression ◽  
Glucocorticoid Receptor ◽  
Receptor Gene ◽  
Cocaine Use ◽  
Glucocorticoid Receptor Gene ◽  
Receptor Gene Expression

Dual-energy X-ray Absorptiometry and Anthropometric Estimates of Visceral Fat in Black and White South African Women

Obesity ◽  
2010 ◽  
Vol 18 (3) ◽  
pp. 619-624 ◽  
Author(s):  
Lisa K. Micklesfield ◽  
Juliet Evans ◽  
Shane A. Norris ◽  
Estelle V. Lambert ◽  
Courtney Jennings ◽  
...  
Keyword(s):  
South African ◽  
Visceral Fat ◽  
Dual Energy ◽  
African Women ◽  
X Ray ◽  
Black And White ◽  
South African Women

Diagnostic Ability of Obesity Measures to Identify Metabolic Risk Factors in South African Women

2011 ◽  
Vol 9 (5) ◽  
pp. 353-360 ◽  
Author(s):  
Juliet Evans ◽  
Lisa Micklesfield ◽  
Courtney Jennings ◽  
Naomi S. Levitt ◽  
Estelle V. Lambert ◽  
...  
Keyword(s):  
Risk Factors ◽  
South African ◽  
Metabolic Risk Factors ◽  
African Women ◽  
Metabolic Risk ◽  
Diagnostic Ability ◽  
South African Women

scholarly journals The discriminatory power of visceral adipose tissue area vs anthropometric measures as a diagnostic marker for metabolic syndrome in South African women

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Florence E. Davidson ◽  
Tandi E. Matsha ◽  
Rajiv T. Erasmus ◽  
Andre Pascal Kengne ◽  
Julia H. Goedecke
Keyword(s):  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
High Risk ◽  
South African ◽  
Visceral Adipose Tissue ◽  
African Women ◽  
Anthropometric Measures ◽  
Cut Points ◽  
South African Women ◽  
Visceral Adipose

Abstract Background A number of studies have shown central adiposity, in particular visceral adipose tissue (VAT) accumulation to be a hallmark of metabolic syndrome (MetS). In clinical practice, waist circumference (WC) is used as a proxy for VAT. Aim To compare the ability of dual energy x-ray absorptiometry (DXA)-derived VAT area and anthropometric measures of adiposity for diagnosing MetS in a sample of high risk South African women. Methods MetS was quantified using the Joint Interim Statement (JIS) criteria. Fasting glucose, insulin and lipid profile were measured in 204 post-menopausal women. Anthropometry measures included body mass index (BMI), WC, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and a body shape index (ABSI). The area under the curve (AUC) was used to assess their performance in detecting any two components of MetS (excluding WC). Optimal WC and VAT area cut-points were derived to compare their performance for diagnosing MetS and to compare to internationally recognised cut-points. Results The highest AUC for the prediction of MetS was recorded for VAT, followed by WHtR and WC (AUC, 0.767, 0.747 and 0.738 respectively), but these did not differ significantly (all p ≥ 0.192). In contrast, VAT was significantly better than BMI (p = 0.028), hip (p = 0.0004) and ABSI (p < 0.0001). The optimal WC (94.4 cm) and VAT area (174 cm2 based on the Youden’s index method and 175.50 cm2 based on the CTL approach) cut-points performed similarly in detecting MetS. Conclusion DXA-derived VAT and WC had the same overall performance in discriminating the presence of any 2 MetS components in high risk South African women. These findings support the current recommendations of using WC rather than VAT for MetS risk screening, as it is cheap, accessible and easy to measure.

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