Literature DB >> 10713745

Appetite dysfunction in obese males: evidence for role of hyperinsulinaemia in passive overconsumption with a high fat diet.

D P Speechly1, R Buffenstein.   

Abstract

OBJECTIVE: To test the hypothesis that caloric and fat intake in a pre-load meal have no subsequent effects upon blood glucose and insulin concentrations, perceived hunger, subsequent food intake and appetite control in lean and obese men.
DESIGN: Lean and obese men reported to the laboratory in the morning in a fasted state where they were subject to an eating test based on the pre-load-test meal paradigm, using a double-blind protocol. The breakfast pre-load was either a reduced caloric low-fat (LF) meal or an overfeeding high-fat (HF) meal. LF was 20% of each individual's average daily energy requirement (ADER) and comprised 60% carbohydrate, 27% protein, and 13% fat, whilst HF was adjusted to yield 55% of the ADER, and comprised 45% carbohydrate, 22% protein and 43% fat. The pre-loads on both trials were administered as one single mean, and were given in a random order. After 5(1/2) h, an ad libitum test-lunch was given to determine how much energy was consumed. Between the two meals, blood samples were collected and subjective hunger ratings were assessed hourly. These variables were measured at 30-min intervals for 75 min after the ad libitum meal. STUDY PARTICIPANTS: Twelve healthy men, six of whom were lean (BMI 22. 50+/-1.08 kg.m2) and six of whom were obese (BMI 39.05+/-11.63 kg. m2) were recruited.
RESULTS: When given 55% of their ADER in a HF pre-load meal, the obese group consumed more energy (5426+/-1126 kJ; F1,20=11.45, P<0.01), than the lean group did (3473+/-1114 kJ), accounting for 45% of the ADER in that meal setting. However, no differences between lean and obese intake were noted at the test meal following a LF pre-load. The lean group exhibited a significant inverse correlation (r=0.628, P<0.05) between serum insulin concentration before eating the test meal and the amount of energy consumed at the test meal, while such a relationship was absent in the obese group.
CONCLUSION: The obese males were unable to compensate for the caloric overloading when fed a HF (55% ADER) pre-load at a subsequent test meal, whereas a calorically reduced pre-load (20% ADER) produced similar intakes to the lean control group. The inverse relationship noted in the lean group between insulin levels before the test meal and the energy intake at that test meal suggests that insulin may play a role in the regulation of appetite - satiety mechanism in lean males. The absence of such a relationship in the obese may suggest the site for possible appetite dysfunction contributing to obesity. These results further suggest that when obese individuals consume a high-fat meal they are prone to passive overconsumption, whereas lean study participants appear to be more resistant to such a phenomenon.

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Year:  2000        PMID: 10713745     DOI: 10.1038/sj.ejcn.1600924

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  20 in total

1.  Short-term isocaloric manipulation of carbohydrate intake: effect on subsequent ad libitum energy intake.

Authors:  Adela Penesova; Colleen A Venti; Joy C Bunt; Susan M Bonfiglio; Susanne B Votruba; Jonathan Krakoff
Journal:  Eur J Nutr       Date:  2010-12-17       Impact factor: 5.614

2.  Consumption of vitamin D-fortified yogurt drink increased leptin and ghrelin levels but reduced leptin to ghrelin ratio in type 2 diabetes patients: a single blind randomized controlled trial.

Authors:  Mina Hajimohammadi; Sakineh Shab-Bidar; Tirang R Neyestani
Journal:  Eur J Nutr       Date:  2017-02-22       Impact factor: 5.614

Review 3.  Appetite control: methodological aspects of the evaluation of foods.

Authors:  J Blundell; C de Graaf; T Hulshof; S Jebb; B Livingstone; A Lluch; D Mela; S Salah; E Schuring; H van der Knaap; M Westerterp
Journal:  Obes Rev       Date:  2010-01-29       Impact factor: 9.213

4.  Caloric compensation in preschool children: Relationships with body mass and differences by food category.

Authors:  S Carnell; L Benson; E L Gibson; L A Mais; S Warkentin
Journal:  Appetite       Date:  2017-04-19       Impact factor: 3.868

5.  Insulin resistance, hyperinsulinemia, and energy intake in overweight children.

Authors:  Joan C Han; Margaret S Rutledge; Merel Kozlosky; Christine G Salaita; Jennifer K Gustafson; Margaret F Keil; Abby F Fleisch; Mary D Roberts; Cong Ning; Jack A Yanovski
Journal:  J Pediatr       Date:  2008-03-06       Impact factor: 4.406

Review 6.  Parabrachial coding of sapid sucrose: relevance to reward and obesity.

Authors:  Andras Hajnal; Ralph Norgren; Peter Kovacs
Journal:  Ann N Y Acad Sci       Date:  2009-07       Impact factor: 5.691

7.  Divergent compensatory responses to high-fat diet between C57BL6/J and C57BLKS/J inbred mouse strains.

Authors:  Emily K Sims; Masayuki Hatanaka; David L Morris; Sarah A Tersey; Tatsuyoshi Kono; Zunaira Z Chaudry; Kathleen H Day; Dan R Moss; Natalie D Stull; Raghavendra G Mirmira; Carmella Evans-Molina
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-10-29       Impact factor: 4.310

8.  Short-term dietary compensation in free-living adults.

Authors:  F McKiernan; J H Hollis; R D Mattes
Journal:  Physiol Behav       Date:  2007-12-26

9.  Use of artificial sweeteners and fat-modified foods in weight loss maintainers and always-normal weight individuals.

Authors:  S Phelan; W Lang; D Jordan; R R Wing
Journal:  Int J Obes (Lond)       Date:  2009-07-28       Impact factor: 5.095

Review 10.  The Microbiota and the Gut-Brain Axis in Controlling Food Intake and Energy Homeostasis.

Authors:  Marina Romaní-Pérez; Clara Bullich-Vilarrubias; Inmaculada López-Almela; Rebeca Liébana-García; Marta Olivares; Yolanda Sanz
Journal:  Int J Mol Sci       Date:  2021-05-29       Impact factor: 5.923

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