Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian network approach

被引:59
作者
Kong, Ling Chun [1 ,2 ,3 ,4 ]
Wuillemin, Pierre-Henri [5 ]
Bastard, Jean-Philippe [1 ,2 ,3 ,4 ,6 ]
Sokolovska, Nataliya [1 ,2 ,3 ,4 ]
Gougis, Sophie [1 ,2 ,3 ,4 ]
Fellahi, Soraya [6 ]
Darakhshan, Froogh [1 ,2 ,3 ,4 ]
Bonnefont-Rousselot, Dominique [1 ,2 ,3 ,4 ,7 ,8 ]
Bittar, Randa [7 ,8 ]
Dore, Joel [9 ]
Zucker, Jean-Daniel [1 ,2 ,3 ,4 ,10 ]
Clement, Karine [1 ,2 ,3 ,4 ]
Rizkalla, Salwa [1 ,2 ,3 ,4 ]
机构
[1] Hop La Pitie Salpetriere, Assistance Publ Hop Paris, Heart & Metab Dept, ICAN, Paris, France
[2] Human Nutr Res Ctr Ile France, Paris, France
[3] INSERM, U872, Equipe 7, Paris, France
[4] Univ Paris 06, Ctr Rech Cordeliers, Paris, France
[5] Univ Paris 06, Dept Demonstrat Satellites Enabling Insert RPAS E, Lab Informat Paris 6, Paris, France
[6] Hop Tenon, Assistance Publ Hop Paris, Serv Biochim & Hormonol, F-75970 Paris, France
[7] Grp Hosp Pitie Salpetriere, Serv Biochim Metab, F-75634 Paris, France
[8] Univ Paris 05, EA 4466, Dept Biol Expt Metabol & Clin, Fac Pharm, Paris, France
[9] INRA, U910, Unite Ecol & Physiol Syst Digestif, Jouy En Josas, France
[10] Inst Rech Dev, Unite Modelisat Math & Informat Syst Complexes, Unite Mixte Rech 209, Bondy, France
关键词
ENERGY-EXPENDITURE; GUT MICROBIOTA; QUESTIONNAIRE; LEPTIN; WOMEN; LINKS; FAT;
D O I
10.3945/ajcn.113.058099
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: The ability to identify obese subjects who will lose weight in response to energy restriction is an important strategy in obesity treatment. Objective: We aimed to identify obese subjects who would lose weight and maintain weight loss through 6 wk of energy restriction and 6 wk of weight maintenance. Design: Fifty obese or overweight subjects underwent a 6-wk energy-restricted, high-protein diet followed by another 6 wk of weight maintenance. Network modeling by using combined biological, gut microbiota, and environmental factors was performed to identify predictors of weight trajectories. Results: On the basis of body weight trajectories, 3 subject clusters were identified. Clusters A and B lost more weight during energy restriction. During the stabilization phase, cluster A continued to lose weight, whereas cluster B remained stable. Cluster C lost less and rapidly regained weight during the stabilization period. At baseline, cluster C had the highest plasma insulin, interleukin (IL)-6, adipose tissue inflammation (HAM56+ cells), and Lactobacillus/Leuconostoc/Pediococcus numbers in fecal samples. Weight regain after energy restriction correlated positively with insulin resistance (homeostasis model assessment of insulin resistance: r = 0.5, P = 0.0002) and inflammatory markers (IL-6; r = 0.43, P = 0.002) at baseline. The Bayesian network identified plasma insulin, IL-6, leukocyte number, and adipose tissue (HAM56) at baseline as predictors that were sufficient to characterize the 3 clusters. The prediction accuracy reached 75.5%. Conclusion: The resistance to weight loss and proneness to weight regain could be predicted by the combination of high plasma insulin and inflammatory markers before dietary intervention.
引用
收藏
页码:1385 / 1394
页数:10
相关论文
共 43 条
[1]   Role of leptin in the neuroendocrine response to fasting [J].
Ahima, RS ;
Prabakaran, D ;
Mantzoros, C ;
Qu, DQ ;
Lowell, B ;
MaratosFlier, E ;
Flier, JS .
NATURE, 1996, 382 (6588) :250-252
[2]  
[Anonymous], 2006, Pattern recognition and machine learning
[3]  
[Anonymous], 2006, Obesity: The Prevention, Identification, Assessment and Management of Overweight and Obesity in Adults and Children
[4]   Evaluation of the SIisOGTT index in a healthy population with normal glucose tolerance [J].
Antuna-Puente, B. ;
Disse, E. ;
Lavoie, M. -E. ;
Rabasa-Lhoret, R. ;
Laville, M. ;
Bastard, J. -P. .
DIABETES & METABOLISM, 2009, 35 (03) :236-237
[5]   Evaluation of insulin sensitivity with a new lipid-based index in non-diabetic postmenopausal overweight and obese women before and after a weight loss intervention [J].
Antuna-Puente, Barbara ;
Disse, Emmanuel ;
Faraj, May ;
Lavoie, Marie-Eve ;
Laville, Martine ;
Rabasa-Lhoret, Remi ;
Bastard, Jean-Philippe .
EUROPEAN JOURNAL OF ENDOCRINOLOGY, 2009, 161 (01) :51-56
[6]   Adipocyte metabolism and obesity [J].
Attie, Alan D. ;
Scherer, Philipp E. .
JOURNAL OF LIPID RESEARCH, 2009, 50 :S395-S399
[7]  
BAECKE JAH, 1982, AM J CLIN NUTR, V36, P936
[8]   AN INVENTORY FOR MEASURING DEPRESSION [J].
BECK, AT ;
ERBAUGH, J ;
WARD, CH ;
MOCK, J ;
MENDELSOHN, M .
ARCHIVES OF GENERAL PSYCHIATRY, 1961, 4 (06) :561-&
[9]  
Black AE, 1996, EUR J CLIN NUTR, V50, P72
[10]  
Dash Denver., 2003, P 19 C ANN C UNCERTA, P167