<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Han, L.</style></author><author><style face="normal" font="default" size="100%">W. Ma</style></author><author><style face="normal" font="default" size="100%">Sun, D.</style></author><author><style face="normal" font="default" size="100%">Heianza, Y.</style></author><author><style face="normal" font="default" size="100%">T. Wang</style></author><author><style face="normal" font="default" size="100%">Zheng, Y.</style></author><author><style face="normal" font="default" size="100%">Huang, T.</style></author><author><style face="normal" font="default" size="100%">Duan, D.</style></author><author><style face="normal" font="default" size="100%">Bray, J. G. A.</style></author><author><style face="normal" font="default" size="100%">Champagne, C. M.</style></author><author><style face="normal" font="default" size="100%">Sacks, F. M.</style></author><author><style face="normal" font="default" size="100%">Qi, L.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genetic variation of habitual coffee consumption and glycemic changes in response to weight-loss diet intervention: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial</style></title><secondary-title><style face="normal" font="default" size="100%">Am J Clin NutrAm J Clin NutrAm J Clin Nutr</style></secondary-title><alt-title><style face="normal" font="default" size="100%">The American journal of clinical nutrition</style></alt-title><short-title><style face="normal" font="default" size="100%">The American journal of clinical nutritionThe American journal of clinical nutrition</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">*Coffee</style></keyword><keyword><style  face="normal" font="default" size="100%">*Diet, Reducing</style></keyword><keyword><style  face="normal" font="default" size="100%">*Polymorphism, Single Nucleotide</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Blood Glucose/*metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Body Mass Index</style></keyword><keyword><style  face="normal" font="default" size="100%">Cluster Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Diet, Fat-Restricted</style></keyword><keyword><style  face="normal" font="default" size="100%">Dietary Fats/administration &amp; dosage</style></keyword><keyword><style  face="normal" font="default" size="100%">Exercise</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Follow-Up Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Insulin Resistance</style></keyword><keyword><style  face="normal" font="default" size="100%">Insulin/blood</style></keyword><keyword><style  face="normal" font="default" size="100%">Linear Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Middle Aged</style></keyword><keyword><style  face="normal" font="default" size="100%">Overweight/*prevention &amp; control</style></keyword><keyword><style  face="normal" font="default" size="100%">Patient Compliance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">5</style></number><edition><style face="normal" font="default" size="100%">2017/09/22</style></edition><volume><style face="normal" font="default" size="100%">106</style></volume><pages><style face="normal" font="default" size="100%">1321-1326</style></pages><isbn><style face="normal" font="default" size="100%">1938-3207 (Electronic)0002-9165 (Linking)</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Background: Coffee consumption has been associated with glucose metabolism and risk of type 2 diabetes.Objective: We examined whether the genetic variation determining habitual coffee consumption affected glycemic changes in response to weight-loss dietary intervention.Design: A genetic risk score (GRS) was calculated based on 8 habitual coffee consumption-associated single nucleotide polymorphisms. We used general linear models to test changes in glycemic traits in groups randomly assigned to high- and low-fat diets according to tertiles of the GRS.Results: We observed significant interactions between the GRS and low compared with high dietary fat intake on 6-mo changes in fasting insulin and homeostasis model assessment of insulin resistance (HOMA-IR) (P-interaction = 0.023 and 0.022, respectively), adjusting for age, sex, race, physical activity, smoking, alcohol, seasonal variation, and baseline values of the respective outcomes. Participants with a higher GRS of habitual coffee consumption showed a greater reduction in fasting insulin and a marginally greater decrease in HOMA-IR in the low-fat diet intervention group.Conclusions: Our data suggest that participants with genetically determined high coffee consumption may benefit more by eating a low-fat diet in improving fasting insulin and HOMA-IR in a short term. This trial was registered at clinicaltrials.gov as NCT00072995 and NCT03258203.</style></abstract><work-type><style face="normal" font="default" size="100%">Randomized Controlled Trial</style></work-type><accession-num><style face="normal" font="default" size="100%">28931532</style></accession-num><notes><style face="normal" font="default" size="100%">Han, LiyuanMa, WenjieSun, DianjianyiHeianza, YorikoWang, TiangeZheng, YanHuang, TaoDuan, DonghuiBray, J George AChampagne, Catherine MSacks, Frank MQi, LuAm J Clin Nutr. 2017 Nov;106(5):1321-1326. doi: 10.3945/ajcn.117.156232. Epub 2017 Sep 20.</style></notes><custom2><style face="normal" font="default" size="100%">5657286</style></custom2><auth-address><style face="normal" font="default" size="100%">Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.Department of Preventive Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China.Departments of Epidemiology and.Shanghai Clinical Center for Endocrine and Metabolic Diseases, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and.Departments of Epidemiology and lqi1@tulane.edu.Channing Division of Network Medicine, Department of Medicine, Brigham and Women&amp;#039;s Hospital and Harvard Medical School, Boston, MA.</style></auth-address></record></records></xml>