Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders.
<h4>Background</h4>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...
Guardado en:
| Autores principales: | , , , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2007
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/d13e11834ce94b149fe08fae7010428b |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:d13e11834ce94b149fe08fae7010428b |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:d13e11834ce94b149fe08fae7010428b2021-11-25T06:13:38ZAdipose gene expression prior to weight loss can differentiate and weakly predict dietary responders.1932-620310.1371/journal.pone.0001344https://doaj.org/article/d13e11834ce94b149fe08fae7010428b2007-12-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0001344https://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methodology/principal findings</h4>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%+/-8.1% accuracy. Using a top-down approach (i.e. using differentially expressed genes to build a classifier) improved prediction accuracy to 80.9%+/-2.2%.<h4>Conclusion</h4>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.David M MutchM Ramzi TemanniCorneliu HenegarFlorence CombesFlorence CombesVéronique PellouxClaus HolstThorkild I A SørensenArne AstrupJ Alfredo MartinezWim H M SarisNathalie ViguerieDominique LanginJean-Daniel ZuckerKarine ClémentPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 2, Iss 12, p e1344 (2007) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q David M Mutch M Ramzi Temanni Corneliu Henegar Florence Combes 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 Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| description |
<h4>Background</h4>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.<h4>Methodology/principal findings</h4>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%+/-8.1% accuracy. Using a top-down approach (i.e. using differentially expressed genes to build a classifier) improved prediction accuracy to 80.9%+/-2.2%.<h4>Conclusion</h4>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. |
| format |
article |
| author |
David M Mutch M Ramzi Temanni Corneliu Henegar Florence Combes 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 |
| author_facet |
David M Mutch M Ramzi Temanni Corneliu Henegar Florence Combes 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 |
| author_sort |
David M Mutch |
| title |
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| title_short |
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| title_full |
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| title_fullStr |
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| title_full_unstemmed |
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| title_sort |
adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2007 |
| url |
https://doaj.org/article/d13e11834ce94b149fe08fae7010428b |
| work_keys_str_mv |
AT davidmmutch adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT mramzitemanni adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT corneliuhenegar adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT florencecombes adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT florencecombes adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT veroniquepelloux adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT clausholst adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT thorkildiasørensen adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT arneastrup adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT jalfredomartinez adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT wimhmsaris adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT nathalieviguerie adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT dominiquelangin adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT jeandanielzucker adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders AT karineclement adiposegeneexpressionpriortoweightlosscandifferentiateandweaklypredictdietaryresponders |
| _version_ |
1718414011603615744 |