Literature DB >> 27510538

Distinct lipid profiles predict improved glycemic control in obese, nondiabetic patients after a low-caloric diet intervention: the Diet, Obesity and Genes randomized trial.

Armand Valsesia1, Wim Hm Saris2, Arne Astrup3, Jörg Hager4, Mojgan Masoodi5.   

Abstract

BACKGROUND: An aim of weight loss is to reduce the risk of type 2 diabetes (T2D) in obese subjects. However, the relation with long-term glycemic improvement remains unknown.
OBJECTIVE: We evaluated the changes in lipid composition during weight loss and their association with long-term glycemic improvement.
DESIGN: We investigated the plasma lipidome of 383 obese, nondiabetic patients within a randomized, controlled dietary intervention in 8 European countries at baseline, after an 8-wk low-caloric diet (LCD) (800-1000 kcal/d), and after 6 mo of weight maintenance.
RESULTS: After weight loss, a lipid signature identified 2 groups of patients who were comparable at baseline but who differed in their capacities to lose weight and improve glycemic control. Six months after the LCD, one group had significant glycemic improvement [homeostasis model assessment of insulin resistance (HOMA-IR) mean change: -0.92; 95% CI: -1.17, -0.67)]. The other group showed no improvement in glycemic control (HOMA-IR mean change: -0.26; 95% CI: -0.64, 0.13). These differences were sustained for ≥1 y after the LCD. The same conclusions were obtained with other endpoints (Matsuda index and fasting insulin and glucose concentrations). Significant differences between the 2 groups were shown in leptin gene expression in adipose tissue biopsies. Significant differences were also observed in weight-related endpoints (body mass index, weight, and fat mass). The lipid signature allowed prediction of which subjects would be considered to be insulin resistant after 6 mo of weight maintenance [validation's receiver operating characteristic (ROC) area under the curve (AUC): 71%; 95% CI: 62%, 81%]. This model outperformed a clinical data-only model (validation's ROC AUC: 61%; 95% CI: 50%, 71%; P = 0.01).
CONCLUSIONS: In this study, we report a lipid signature of LCD success (for weight and glycemic outcome) in obese, nondiabetic patients. Lipid changes during an 8-wk LCD allowed us to predict insulin-resistant patients after 6 mo of weight maintenance. The determination of the lipid composition during an LCD enables the identification of nonresponders and may help clinicians manage metabolic outcomes with further intervention, thereby improving the long-term outcome and preventing T2D. This trial was registered at clinicaltrials.gov as NCT00390637.
© 2016 American Society for Nutrition.

Entities:  

Keywords:  adipose tissue; dietary intervention; insulin resistance; lipidemia; obesity; weight loss

Mesh:

Substances:

Year:  2016        PMID: 27510538     DOI: 10.3945/ajcn.116.137646

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  15 in total

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Journal:  Am J Physiol Heart Circ Physiol       Date:  2017-10-06       Impact factor: 4.733

2.  Increased hepatic fatty acid polyunsaturation precedes ectopic lipid deposition in the liver in adaptation to high-fat diets in mice.

Authors:  Ana Francisca Soares; João M N Duarte; Rolf Gruetter
Journal:  MAGMA       Date:  2017-10-12       Impact factor: 2.310

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Authors:  Mojgan Masoodi; Amalia Gastaldelli; Tuulia Hyötyläinen; Enara Arretxe; Cristina Alonso; Melania Gaggini; Julia Brosnan; Quentin M Anstee; Oscar Millet; Pablo Ortiz; Jose M Mato; Jean-Francois Dufour; Matej Orešič
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-09-10       Impact factor: 46.802

4.  Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism.

Authors:  Armand Valsesia; Qiao-Ping Wang; Nele Gheldof; Jérôme Carayol; Hélène Ruffieux; Teleri Clark; Victoria Shenton; Lisa J Oyston; Gregory Lefebvre; Sylviane Metairon; Christian Chabert; Ondine Walter; Polina Mironova; Paulina Lau; Patrick Descombes; Nathalie Viguerie; Dominique Langin; Mary-Ellen Harper; Arne Astrup; Wim H Saris; Robert Dent; Greg G Neely; Jörg Hager
Journal:  Nat Commun       Date:  2019-02-01       Impact factor: 14.919

5.  Plasma metabolites and lipids predict insulin sensitivity improvement in obese, nondiabetic individuals after a 2-phase dietary intervention.

Authors:  Antonin Meyer; Emilie Montastier; Jörg Hager; Wim H M Saris; Arne Astrup; Nathalie Viguerie; Armand Valsesia
Journal:  Am J Clin Nutr       Date:  2018-07-01       Impact factor: 7.045

6.  Sexual Dimorphism in Body Weight Loss, Improvements in Cardiometabolic Risk Factors and Maintenance of Beneficial Effects 6 Months after a Low-Calorie Diet: Results from the Randomized Controlled DiOGenes Trial.

Authors:  Inez Trouwborst; Gijs H Goossens; Arne Astrup; Wim H M Saris; Ellen E Blaak
Journal:  Nutrients       Date:  2021-05-10       Impact factor: 5.717

7.  Analysis of circulating angiopoietin-like protein 3 and genetic variants in lipid metabolism and liver health: the DiOGenes study.

Authors:  Lesli Hingstrup Larsen; Armand Valsesia; Anne Lundby Hess; Jérôme Carayol; Trine Blædel; Jörg Hager; Alessandro Di Cara; Arne Astrup; Wim H M Saris
Journal:  Genes Nutr       Date:  2018-04-02       Impact factor: 5.523

8.  Fast and Accurate Approaches for Large-Scale, Automated Mapping of Food Diaries on Food Composition Tables.

Authors:  Marc Lamarine; Jörg Hager; Wim H M Saris; Arne Astrup; Armand Valsesia
Journal:  Front Nutr       Date:  2018-05-09

9.  Untargeted Profiling of Bile Acids and Lysophospholipids Identifies the Lipid Signature Associated with Glycemic Outcome in an Obese Non-Diabetic Clinical Cohort.

Authors:  Nicolas Christinat; Armand Valsesia; Mojgan Masoodi
Journal:  Biomolecules       Date:  2020-07-15

10.  Integrative phenotyping of glycemic responders upon clinical weight loss using multi-omics.

Authors:  Armand Valsesia; Anirikh Chakrabarti; Jörg Hager; Dominique Langin; Wim H M Saris; Arne Astrup; Ellen E Blaak; Nathalie Viguerie; Mojgan Masoodi
Journal:  Sci Rep       Date:  2020-06-08       Impact factor: 4.379

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