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Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study
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| Zeitschriftentitel: | British Journal of Nutrition |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| In: | British Journal of Nutrition, 118, 2017, 8, S. 561-569 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Cambridge University Press (CUP)
|
| Schlagwörter: |
| author_facet |
O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine |
|---|---|
| author |
O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine |
| spellingShingle |
O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine British Journal of Nutrition Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study Nutrition and Dietetics Medicine (miscellaneous) |
| author_sort |
o’donovan, clare b. |
| spelling |
O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine 0007-1145 1475-2662 Cambridge University Press (CUP) Nutrition and Dietetics Medicine (miscellaneous) http://dx.doi.org/10.1017/s0007114517002069 <jats:title>Abstract</jats:title><jats:p>Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (<jats:italic>n</jats:italic> 1607), <jats:italic>k</jats:italic>-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (<jats:sc>sd</jats:sc> 1·29) %), carotenoids (2·15 (<jats:sc>sd</jats:sc> 0·71) µ<jats:sc>m</jats:sc>) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (<jats:italic>n</jats:italic> 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.</jats:p> Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study British Journal of Nutrition |
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| title |
Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
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Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_full |
Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_fullStr |
Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
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Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
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Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
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metabotyping for the development of tailored dietary advice solutions in a european population: the food4me study |
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Nutrition and Dietetics Medicine (miscellaneous) |
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http://dx.doi.org/10.1017/s0007114517002069 |
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2017 |
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561-569 |
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<jats:title>Abstract</jats:title><jats:p>Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (<jats:italic>n</jats:italic> 1607), <jats:italic>k</jats:italic>-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (<jats:sc>sd</jats:sc> 1·29) %), carotenoids (2·15 (<jats:sc>sd</jats:sc> 0·71) µ<jats:sc>m</jats:sc>) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (<jats:italic>n</jats:italic> 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.</jats:p> |
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| author | O’Donovan, Clare B., Walsh, Marianne C., Woolhead, Clara, Forster, Hannah, Celis-Morales, Carlos, Fallaize, Rosalind, Macready, Anna L., Marsaux, Cyril F. M., Navas-Carretero, Santiago, Rodrigo San-Cristobal, S., Kolossa, Silvia, Tsirigoti, Lydia, Mvrogianni, Christina, Lambrinou, Christina P., Moschonis, George, Godlewska, Magdalena, Surwillo, Agnieszka, Traczyk, Iwona, Drevon, Christian A., Daniel, Hannelore, Manios, Yannis, Martinez, J. Alfredo, Saris, Wim H. M., Lovegrove, Julie A., Mathers, John C., Gibney, Michael J., Gibney, Eileen R., Brennan, Lorraine |
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| description | <jats:title>Abstract</jats:title><jats:p>Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (<jats:italic>n</jats:italic> 1607), <jats:italic>k</jats:italic>-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (<jats:sc>sd</jats:sc> 1·29) %), carotenoids (2·15 (<jats:sc>sd</jats:sc> 0·71) µ<jats:sc>m</jats:sc>) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (<jats:italic>n</jats:italic> 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.</jats:p> |
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| spelling | O’Donovan, Clare B. Walsh, Marianne C. Woolhead, Clara Forster, Hannah Celis-Morales, Carlos Fallaize, Rosalind Macready, Anna L. Marsaux, Cyril F. M. Navas-Carretero, Santiago Rodrigo San-Cristobal, S. Kolossa, Silvia Tsirigoti, Lydia Mvrogianni, Christina Lambrinou, Christina P. Moschonis, George Godlewska, Magdalena Surwillo, Agnieszka Traczyk, Iwona Drevon, Christian A. Daniel, Hannelore Manios, Yannis Martinez, J. Alfredo Saris, Wim H. M. Lovegrove, Julie A. Mathers, John C. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine 0007-1145 1475-2662 Cambridge University Press (CUP) Nutrition and Dietetics Medicine (miscellaneous) http://dx.doi.org/10.1017/s0007114517002069 <jats:title>Abstract</jats:title><jats:p>Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (<jats:italic>n</jats:italic> 1607), <jats:italic>k</jats:italic>-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (<jats:sc>sd</jats:sc> 1·29) %), carotenoids (2·15 (<jats:sc>sd</jats:sc> 0·71) µ<jats:sc>m</jats:sc>) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (<jats:italic>n</jats:italic> 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.</jats:p> Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study British Journal of Nutrition |
| spellingShingle | O’Donovan, Clare B., Walsh, Marianne C., Woolhead, Clara, Forster, Hannah, Celis-Morales, Carlos, Fallaize, Rosalind, Macready, Anna L., Marsaux, Cyril F. M., Navas-Carretero, Santiago, Rodrigo San-Cristobal, S., Kolossa, Silvia, Tsirigoti, Lydia, Mvrogianni, Christina, Lambrinou, Christina P., Moschonis, George, Godlewska, Magdalena, Surwillo, Agnieszka, Traczyk, Iwona, Drevon, Christian A., Daniel, Hannelore, Manios, Yannis, Martinez, J. Alfredo, Saris, Wim H. M., Lovegrove, Julie A., Mathers, John C., Gibney, Michael J., Gibney, Eileen R., Brennan, Lorraine, British Journal of Nutrition, Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study, Nutrition and Dietetics, Medicine (miscellaneous) |
| title | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_full | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_fullStr | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_full_unstemmed | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_short | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| title_sort | metabotyping for the development of tailored dietary advice solutions in a european population: the food4me study |
| title_unstemmed | Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study |
| topic | Nutrition and Dietetics, Medicine (miscellaneous) |
| url | http://dx.doi.org/10.1017/s0007114517002069 |