<?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%">W. Ma</style></author><author><style face="normal" font="default" size="100%">Huang, T.</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%">Sun, D.</style></author><author><style face="normal" font="default" size="100%">Tong, J.</style></author><author><style face="normal" font="default" size="100%">Williamson, D. A.</style></author><author><style face="normal" font="default" size="100%">Bray, G. A.</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 Variations of Circulating Adiponectin Levels Modulate Changes in Appetite in Response to Weight-Loss Diets</style></title><secondary-title><style face="normal" font="default" size="100%">J Clin Endocrinol MetabJ Clin Endocrinol MetabJ Clin Endocrinol Metab</style></secondary-title><alt-title><style face="normal" font="default" size="100%">The Journal of clinical endocrinology and metabolism</style></alt-title><short-title><style face="normal" font="default" size="100%">The Journal of clinical endocrinology and metabolismThe Journal of clinical endocrinology and metabolism</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">*Diet, Reducing</style></keyword><keyword><style  face="normal" font="default" size="100%">Adiponectin/*blood/*genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Adult</style></keyword><keyword><style  face="normal" font="default" size="100%">Appetite/drug effects/*physiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Biomarkers/analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Early Medical Intervention</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%">Genetic Predisposition to Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</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/blood/*drug therapy/genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide/*genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Prognosis</style></keyword><keyword><style  face="normal" font="default" size="100%">Weight Loss/*drug effects/genetics</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%">Jan 1</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><edition><style face="normal" font="default" size="100%">2016/11/15</style></edition><volume><style face="normal" font="default" size="100%">102</style></volume><pages><style face="normal" font="default" size="100%">316-325</style></pages><isbn><style face="normal" font="default" size="100%">1945-7197 (Electronic)0021-972X (Linking)</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Context: Adiponectin plays key roles in regulating appetite and food intake. Objective: To investigate interactions between the genetic risk score (GRS) for adiponectin levels and weight-loss diets varying in macronutrient intake on long-term changes in appetite and adiponectin levels. Design, Setting, and Participants: A GRS was calculated based on 5 adiponectin-associated variants in 692 overweight adults from the 2-year Preventing Overweight Using Novel Dietary Strategies trial. Main Outcome Measures: Repeated measurements of plasma adiponectin levels and appetite-related traits, including cravings, fullness, prospective consumption, and hunger. Results: Dietary fat showed nominally significant interactions with the adiponectin GRS on changes in appetite score and prospective consumption from baseline to 6 months (P for interaction = 0.014 and 0.017, respectively) after adjusting for age, sex, ethnicity, baseline body mass index, and baseline respective outcome values. The GRS for lower adiponectin levels was associated with a greater decrease in appetite (P &amp;lt; 0.001) and prospective consumption (P = 0.008) among participants consuming a high-fat diet, whereas no significant associations were observed in the low-fat group. Additionally, a significant interaction was observed between the GRS and dietary fat on 6-month changes in adiponectin levels (P for interaction = 0.021). The lower GRS was associated with a greater increase in adiponectin in the low-fat group (P = 0.02), but it was not associated with adiponectin changes in the high-fat group (P = 0.31). Conclusions: Our findings suggest that individuals with varying genetic architecture of circulating adiponectin may respond divergently in appetite and adiponectin levels to weight-loss diets varying in fat intake.</style></abstract><work-type><style face="normal" font="default" size="100%">Randomized Controlled TrialResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov&amp;#039;t</style></work-type><accession-num><style face="normal" font="default" size="100%">27841942</style></accession-num><notes><style face="normal" font="default" size="100%">Ma, WenjieHuang, TaoHeianza, YorikoWang, TiangeSun, DianjianyiTong, JennyWilliamson, Donald ABray, George ASacks, Frank MQi, LuR01 DK078616/DK/NIDDK NIH HHS/R01 DK091718/DK/NIDDK NIH HHS/P30 DK046200/DK/NIDDK NIH HHS/R21 HL126024/HL/NHLBI NIH HHS/R01 HL034594/HL/NHLBI NIH HHS/U01 DK078616/DK/NIDDK NIH HHS/R01 DK100383/DK/NIDDK NIH HHS/R01 HL071981/HL/NHLBI NIH HHS/J Clin Endocrinol Metab. 2017 Jan 1;102(1):316-325. doi: 10.1210/jc.2016-2909.</style></notes><custom2><style face="normal" font="default" size="100%">5413100</style></custom2><auth-address><style face="normal" font="default" size="100%">Department of Epidemiology and.Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana 70112.Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27703.Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, Louisiana 70808; and.Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115.Channing Division of Network Medicine, Department of Medicine, Brigham and Women&amp;#039;s Hospital and Harvard Medical School, Boston, Massachusetts 02115.</style></auth-address></record></records></xml>