2017
DOI: 10.1038/ijo.2017.4
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What have human experimental overfeeding studies taught us about adipose tissue expansion and susceptibility to obesity and metabolic complications?

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Cited by 103 publications
(92 citation statements)
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References 74 publications
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“…Body composition and metabolic cage studies Murine body composition was measured by 1 H magnetic resonance spectroscopy (Bruker, Billerica, MA, USA). Energy expenditure and caloric intake were measured in a Comprehensive Laboratory Animal Monitoring System (CLAMS; Columbus Instruments, Columbus, OH, USA).…”
Section: Mmttsmentioning
confidence: 99%
See 1 more Smart Citation
“…Body composition and metabolic cage studies Murine body composition was measured by 1 H magnetic resonance spectroscopy (Bruker, Billerica, MA, USA). Energy expenditure and caloric intake were measured in a Comprehensive Laboratory Animal Monitoring System (CLAMS; Columbus Instruments, Columbus, OH, USA).…”
Section: Mmttsmentioning
confidence: 99%
“…However, not all obese individuals are insulin resistant. This phenotypic heterogeneity may lie in differences in adipose biology [1]. Notably, some genes linked to forms of lipodystrophy are also dysregulated in individuals with more common forms of insulin resistance [2], lending genetic support for a key role for adipose dysfunction in individuals who develop insulin resistance [3].…”
Section: Introductionmentioning
confidence: 99%
“…(2) Ectopic Muscle Fat Accumulation: Muscle lipid accumulation commonly occurs [30] as a result of insufficient adipose tissue expansion in the face of excess lipid availability [32]; convincing evidence has long demonstrated the close association of skeletal muscle lipid content with tissue and systemic insulin resistance [30,33]. Mechanisms mediating metabolic lipotoxicity are complex and appear to include direct pro-oxidative and inflammatory activities [28] as well as accumulation of metabolically toxic lipid moieties such as diacylglycerol and ceramides [34].…”
Section: Introduction: What We Knowmentioning
confidence: 99%
“…Genetics has been disappointing for clinical diabetes as it shifted from the early T2D candidate gene approach, which basically failed, to genome-wide association scanning and genomics, which showed that dozens of genes are involved in the predisposition to T2D (64)(65)(66). Furthermore, joint predisposition to T2D and comorbidities (principally, obesity [67], hypertension [68], and dyslipidemia [69]) has raised the task of identifying the genetic makeup of T2D to quasi-intractable levels of complexity. However, epigenetics and the "omics" (mainly metabolomics and proteomics) are providing increasingly more "physiological" profiles of diabetic subphenotypes by using integrated network methodology (70).…”
Section: What Does the Future Hold?mentioning
confidence: 99%