Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders

David M. Mutch, Ramzi Temanni, Comeliu Henegar, Florence Combes, Véronique Pelloux, Claus Holst, Thorkild I A Sørensen, Arne Astrup, J. Alfredo Martinez, Wim H M Saris, Nathalie Viguerie, Dominique Langin, Jean Daniel Zucker, Karine Clément

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Background: The ability to identify obese individuals who will successfully lose weight in response to dietary intervention will revolutionize disease management. Therefore, we asked whether it is possible to identify subjects who will lose weight during dietary intervention using only a single gene expression snapshot. Methodology/Principal Findings: The present study involved 54 female subjects from the Nutrient-Gene Interactions in Human Obesity-Implications for Dietary Guidelines (NUGENOB) trial to determine whether subcutaneous adipose tissue gene expression could be used to predict weight loss prior to the 10-week consumption of a low-fat hypocaloric diet. Using several statistical tests revealed that the gene expression profiles of responders (8-12 kgs weight loss) could always be differentiated from non-responders (,4 kgs weight loss). We also assessed whether this differentiation was sufficient for prediction. Using a bottom-up (i.e. black-box) approach, standard class prediction algorithms were able to predict dietary responders with up to 61.1%68.1% accuracy. Using a top-down approach (i.e. using differentially expressed genes to build a classifier) improved prediction accuracy to 80.9%6 ±2.2%. Conclusion: Adipose gene expression profiling prior to the consumption of a low-fat diet is able to differentiate responders from non-responders as well as serve as a weak predictor of subjects destined to lose weight. While the degree of prediction accuracy currently achieved with a gene expression snapshot is perhaps insufficient for clinical use, this work reveals that the comprehensive molecular signature of adipose tissue paves the way for the future of personalized nutrition.

Original languageEnglish
Article numbere1344
JournalPLoS One
Volume2
Issue number12
DOIs
Publication statusPublished - 19 Dec 2007
Externally publishedYes

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Gene expression
Weight Loss
Fat-Restricted Diet
weight loss
Gene Expression
Weights and Measures
gene expression
Nutrition
prediction
low fat diet
Nutrition Policy
Subcutaneous Fat
adipose tissue
Gene Expression Profiling
Disease Management
Transcriptome
Genes
Fats
Adipose Tissue
Tissue

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. / Mutch, David M.; Temanni, Ramzi; Henegar, Comeliu; Combes, Florence; Pelloux, Véronique; Holst, Claus; Sørensen, Thorkild I A; Astrup, Arne; Martinez, J. Alfredo; Saris, Wim H M; Viguerie, Nathalie; Langin, Dominique; Zucker, Jean Daniel; Clément, Karine.

In: PLoS One, Vol. 2, No. 12, e1344, 19.12.2007.

Research output: Contribution to journalArticle

Mutch, DM, Temanni, R, Henegar, C, Combes, F, Pelloux, V, Holst, C, Sørensen, TIA, Astrup, A, Martinez, JA, Saris, WHM, Viguerie, N, Langin, D, Zucker, JD & Clément, K 2007, 'Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders', PLoS One, vol. 2, no. 12, e1344. https://doi.org/10.1371/journal.pone.0001344
Mutch, David M. ; Temanni, Ramzi ; Henegar, Comeliu ; Combes, Florence ; Pelloux, Véronique ; Holst, Claus ; Sørensen, Thorkild I A ; Astrup, Arne ; Martinez, J. Alfredo ; Saris, Wim H M ; Viguerie, Nathalie ; Langin, Dominique ; Zucker, Jean Daniel ; Clément, Karine. / Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. In: PLoS One. 2007 ; Vol. 2, No. 12.
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