Stanford University
Stanford, California, 94305, United States
NCT Number: NCT01336777
The biological basis for insulin resistance associated with obesity is unknown. By studying equally-overweight/obese individuals who are either insulin resistant or insulin sensitive, the investigators will compare characteristics of fat tissue to test several hypotheses: 1) impaired differentiation and fat storage in the subcutaneous fat depot characterize insulin resistant individuals, who have, as a result, fat in other tissues like liver and muscle, as well as more fat circulating in the blood; 2) inflammation is greater in visceral and/or subcutaneous adipose tissue depots in insulin resistant individuals as compared with insulin sensitive individuals.
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Notify Me39 year–65 year
All sexes
Observational
Stanford, California, 94305, United States
Insulin resistance (IR) is a major contributor to obesity-related morbidities such as diabetes and cardiovascular disease. While obesity is associated with IR, the biological basis for this association is unclear, and not all obese individuals are IR. The once-popular portal hypothesis, which states that lipolysis from VAT in particular accounts for IR, has been questioned because VAT contributes only 15% of the total systemic free fatty acid (FFA) flux. Other proposed mechanisms linking obesity to IR include inflammation, adiponectin, and ectopic fat. It is unclear whether VAT mass is more closely linked to IR than is subcutaneous adipose tissue (SAT) mass. Furthermore, evidence linking differential biological activity to IR in VAT or SAT is indirect, largely derived from studies comparing lean to obese or VAT to SAT without evaluation of IR. Thus, the purpose of this study is to investigate the biological mechanisms by which SAT and/or VAT contribute to IR. Specifically, the investigators will explore two related hypotheses- that impaired adipocyte differentiation in SAT is related to IR, ectopic fat deposition and expansion of VAT depot, and that inflammation in VAT is associated with IR. Utilizing adipose cell size/distribution obtained by Beckman Coulter Multisizer, gene expression via quantitative PCR, in-vivo quantification of IR via a modified insulin suppression test, and CT scans of abdomen/thigh, our specific aims are to:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 3 years
Harvest adipose tissue from human biopsy. Prepare for cell size analysis using Beckman Multisizer Coulter Counter
Time frame: 3 years
Human adipose tissue will be formalin-fixed and paraffin-blocked for immunohistochemical analysis to identify macrophage number and pattern
Time frame: 3 years
Adipose tissue from humans will be frozen and RNA prepared for measurement of relative expression of genes related to adipose cell differentiation, fat storage, and inflammation
Stanford University
Other
Heterogeneity of Fat Depots
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