Unknown,Transcriptomics,Genomics,Proteomics

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Two different 4-week energy-restricted diets.


ABSTRACT: The main aim of this experiment was to investigate gene expression on human adipose tissue after two different 4-week energy-restricted diets. Our questions consisted in understanding how gene expression was linked to clinical parameters of obese patients and whether the two diets were discriminated this data. The subjects were randomly allocated, in a cross-over design, to two periods of 4 weeks of an energy restricted isocaloric diet of 1200 kcal as either a conventional diet (LC-CONV) or a special energy restricted diet compensated by proteins (LC-P-LGI). The two nutritional periods were separated by a wash-out interval of 8 weeks. The samples who contain a K in their name correspond to the LC-P-LGI diet while those who contain a C correspond to LC-CONV diet. Total RNA obtained from isolated human adipose tissue of 12 subjects at 6 different time points (0, 5, 30, 90, 95 and 120 days).

ORGANISM(S): Homo sapiens

SUBMITTER: Edi Prifti 

PROVIDER: E-GEOD-27121 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Differential effects of macronutrient content in 2 energy-restricted diets on cardiovascular risk factors and adipose tissue cell size in moderately obese individuals: a randomized controlled trial.

Rizkalla Salwa W SW   Prifti Edi E   Cotillard Aurélie A   Pelloux Veronique V   Rouault Christine C   Allouche Reginald R   Laromiguière Muriel M   Kong LingChun L   Darakhshan Froogh F   Massiera Florence F   Clement Karine K  

The American journal of clinical nutrition 20111214 1


<h4>Background</h4>The most effective and safe dietary approach for weight loss and its impact on the metabolic functions and morphology of adipose tissue remain unclear.<h4>Objectives</h4>We evaluated whether an energy-restricted high-protein diet with a low glycemic index and soluble fiber (LC-P-LGI) would be more effective than a low-calorie conventional diet (LC-CONV) on weight loss and related metabolic risk factors. We further determined factors that may influence adipocyte size during ene  ...[more]

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