@article{fdi:010061354,
  title = {{I}nsulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a {B}ayesian network approach},
  author = {{K}ong, {L}. {C}. and {W}uillemin, {P}. {H}. and {B}astard, {J}. {P}. and {S}okolovska, {N}. and {G}ougis, {S}. and {F}ellahi, {S}. and {D}arakhshan, {F}. and {B}onnefont-{R}ousselot, {D}. and {B}ittar, {R}. and {D}ore, {J}. and {Z}ucker, {J}ean-{D}aniel and {C}lement, {K}. and {R}izkalla, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {T}he ability to identify obese subjects who will lose weight in response to energy restriction is an important strategy in obesity treatment. {O}bjective: {W}e 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. {D}esign: {F}ifty obese or overweight subjects underwent a 6-wk energy-restricted, high-protein diet followed by another 6 wk of weight maintenance. {N}etwork modeling by using combined biological, gut microbiota, and environmental factors was performed to identify predictors of weight trajectories. {R}esults: {O}n the basis of body weight trajectories, 3 subject clusters were identified. {C}lusters {A} and {B} lost more weight during energy restriction. {D}uring the stabilization phase, cluster {A} continued to lose weight, whereas cluster {B} remained stable. {C}luster {C} lost less and rapidly regained weight during the stabilization period. {A}t baseline, cluster {C} had the highest plasma insulin, interleukin ({IL})-6, adipose tissue inflammation ({HAM}56+ cells), and {L}actobacillus/{L}euconostoc/{P}ediococcus numbers in fecal samples. {W}eight 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. {T}he {B}ayesian network identified plasma insulin, {IL}-6, leukocyte number, and adipose tissue ({HAM}56) at baseline as predictors that were sufficient to characterize the 3 clusters. {T}he prediction accuracy reached 75.5%. {C}onclusion: {T}he 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.},
  keywords = {},
  booktitle = {},
  journal = {{A}merican {J}ournal of {C}linical {N}utrition},
  volume = {98},
  numero = {6},
  pages = {1385--1394},
  ISSN = {0002-9165},
  year = {2013},
  DOI = {10.3945/ajcn.113.058099},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061354},
}