Adipogenesis and Insulin Resistance

脂肪生成和胰岛素抵抗

基本信息

项目摘要

For nearly the past decade we have been studying the relationship between insulin resistance and adipocyte size in a number of settings. The key ideas we have distilled from these investigations include: 1. Adipose cells vary widely in size from about 20 microns in diameter to well over 100 microns, befitting their unique role as cells that can expand and contract to take up and release lipid as needed. 2. The distributions are not typical unimodal Gaussian distributions but typically have a Gaussian-like peak of large cells and an exponential-like tail of small cells. We have interpreted the Gaussian peak as representing mature adipocytes and the tail as newer cells in the process of growing as they take up lipid. Dynamical models by others in the lab (see reports by Vipul Periwal, LBM) have confirmed that a hypothesized growth process incorporating newly recruited cells emerging with diameter around 20 microns and growing according to a size-dependent growth law naturally generates such distributions. A distinct nadir between the left tail and the right peak is found if cells are assume to grow slowly until they reach a threshold diameter of, say, 30 - 60 microns and then grow rapidly. In some individuals, both human and rodent, an additional peak of cells with intermediate diameter can be observed, which may even move to the right with time, suggesting a bolus of cells recruited close together in time that grows and joins the peak of mature cells. 3. We have correlated the characteristics of the size distributions, chiefly the fraction of small cells and the typical size of the large cells, with insulin resistance or sensitivity in a variety of study populations. Our initial study, in collaboration with the McLaughlin lab at Stanford University, examined moderately obese subjects (BMI near 30 kg/m2) who were insulin sensitive (IS) or insulin resistant (IR) and found that the insulin resistant group had an increased proportion of small cells. This was interpreted as a signature of impaired adipocyte development, which could result in impaired lipid storage capacity and lead to spillover of lipid to other organs poorly equipped to handle the fat load. Such spillover, or "ectopic fat" has been proposed to cause insulin resistance in muscle and liver and impaired insulin secretion in the pancreas. The study noted a trend toward larger large cells among the IR subjects, but this did not reach statistical significance. One would expect larger large cells given a smaller proportion of large cells if BMI and total fat mass are the same between the groups, as they were by design. A follow-up study with a larger group of subjects and a broader range of BMI has confirmed the increased proportion of small cells as well as larger large cells (see Ref. # 1 of this report). The increased size was also reported by us in Ref. # 1 of the 2012 report. A considerable body of evidence from other studies supports the notion that large cells are intrinsically less efficient at storing lipid than small cells (again, see report of Periwal, LBM, for a theoretical view of this). In summary, in all these cases the distribution of adipose cell sizes is related to metabolic status, but the particular response is dependent on the metabolic status and history of the subject. The results above, taken together, along with work in other sections of LBM, lead to the overall conclusion that large cell size is a primary risk factor for insulin resistance, along with an excess of small cells. We hypothesize that in untreated IR subjects the surplus of small cells reflects impaired differentiation. Indeed, the two properties may be related, as a defect in potential to recruit and enlarge new adipocytes may be compensated by enlargement of existing adipocytes beyond their healthy operating range.
近十年来,我们一直在研究胰岛素抵抗和脂肪细胞大小之间的关系。我们从这些调查中总结出的主要观点包括:

项目成果

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Arthur Sherman其他文献

Arthur Sherman的其他文献

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{{ truncateString('Arthur Sherman', 18)}}的其他基金

Mathematical Modeling of Neurons and Endocrine Cells
神经元和内分泌细胞的数学模型
  • 批准号:
    8553369
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Mathematical Modeling of Neurons and Endocrine Cells
神经元和内分泌细胞的数学模型
  • 批准号:
    10008647
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Adipogenesis and Insulin Resistance
脂肪生成和胰岛素抵抗
  • 批准号:
    8148667
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Molecular modeling of G protein-coupled receptors
G 蛋白偶联受体的分子建模
  • 批准号:
    8553366
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Adipogenesis and Insulin Resistance
脂肪生成和胰岛素抵抗
  • 批准号:
    9553212
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Mathematical Modeling of Neurons and Endocrine Cells
神经元和内分泌细胞的数学模型
  • 批准号:
    8741340
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Stimulus secretion coupling in pancreatic beta-cells
胰腺β细胞的刺激分泌耦合
  • 批准号:
    8349645
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Adipogenesis and Insulin Resistance
脂肪生成和胰岛素抵抗
  • 批准号:
    8349647
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Stimulus secretion coupling in pancreatic beta-cells
胰腺β细胞的刺激分泌耦合
  • 批准号:
    7593401
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:
Stimulus secretion coupling in pancreatic beta-cells
胰腺β细胞的刺激分泌耦合
  • 批准号:
    9356042
  • 财政年份:
  • 资助金额:
    $ 3.12万
  • 项目类别:

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