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marylin monroe
Showing posts with label satiety. Show all posts
Showing posts with label satiety. Show all posts

Appetite Short News: Pavlovian Conditioning at Work in the Obese | Polydextrose as a Satiety Promoter | Parents, Just Like Their Kids, Fall for All the Tricks of the Food Industry

Too lean for Pavlovian Conditioning.
In today's "appetizing" installment of the short news, I have picked three of the latest publications from the scientific journal Appetite, of which I thought that they were newsworthy. In that, I cover the Pavlovian Conditioning of overweight individuals, the benefits of polydextrose on appetite control and the way product labels fool parents and children into buying unhealthy foods.

I have to admit: It's not all practically applicable, but who knows maybe you can use it to smart-ass during the holidays. Or maybe you bake some polydextrose enhanced super-satiating cookies for your family, ha?
More facts for your smart-ass sessions on the holidays ;-)

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Lactulose For Gut & Health

Probiotics Don't Cut Body Fat

The Macrobiotic MaPi2.0 Diet
  • Hedonic food cue conditioning in the obese: You know the story about Pavlov's dog starting to salivate, when the bell rang that would usually accompany his next feeding?

    Well, a recent study confirms that something very similar is at work in obese, but not lean subjects. While the former remain calm and cool to a visual cue that had previously been given alongside some tasty chocolate milk, the latter began to swallow, a reliable sign of increased salivation. As the scientists from the Allaint International University in San Diego say, these "
    are the first results to show differential acquisition of Pavlovian conditioned responding in overweight individuals compared to lean individuals" (Meyer. 2014)
    The fact that the conditioning worked was yet not the only significant finding, Meyer et al. made. They also observed that hedonic food stimuli were significantly more effective 'conditioners' in the obese than neutral stimuli.

    Practically speaking the observations the researchers from the Allaint International University in San Diego made, may partly explain the difficulties obese individuals who may have been conditioned / conditioned themselves to hedonic food stimuli for their whole lives have when it comes to controlling their energy intake.
  • Polydextrose as a satiety promoter: In their meta-analysis of the current literature on the effects of polydextrose on energy intake, researchers from the US and Finland found that...
    • polydextrose consumed with a mid-morning snack reduces energy intake (EI) at lunch time.
    • this reduction in EI at lunch time occurs in a dose-dependent manner.
    • but the energy intake during the rest of the day did not show any difference
    Now this probably wouldn't be newsworthy, then, if a a regression model had not been able to confirm a dose-dependent effect on the reduction of daily energy intake.
Added polydextrose reduces the insulin response to milk (Lummela. 2009)
What exactly is polydextrose? Polydextrose is a glucose polymer that is completely soluble in water. As a food additive it offers the texture of sucrose but provides only 25% of the equivalent energy, or 4 kJ/g. It has been approved for use in foods in over 60 nations and is recognized as a dietary fiber in more than 20 countries (FAO/WHO, 2009). Next to the reduced energy content it has another benefits of the fibrous substance is that its addition to foods like milk can reduce the insulinogenic response to this meals significantly - even in healthy individuals (Lummela. 2009).
  • More specifically, the meta-analysis was able to show that the dose of polydextrose consumed correlated significantly with the reduction of nergy intake at lunch (−0.67 Polydextrose (g/day) | 80% correlation; P < 0.01), due to which the energy intake was reduced by 1% per 2.86g of polydextrose per day.

    As Ibarra et al. point out, the sex-specific results are consistent with results for the whole group - the effect is thus similarly pronounced in both men and women. Accordingly, the meta-analysis "supports the notion that the consumption of polydextrose reduces voluntary energy intake at a subsequent meal" and that "this reduction in energy intake occurs in a dose-dependent manner" (Ibarra. 2014).
  • Parents of preschool children make (non-)sense of front-of-package visuals and claims on food - A recent study from the Colorado State University and the University of Illinois at Urbana-Champaign investigated what parents make of the colorful packaging of foods their kids like to buy and found that most of them tend to "accept misleading front-of-package claims when making quick food decisions" (Abrams. 2014).

    Parents fall for unwarranted claims, and misleading images children for cartoons.
    While playful visuals appeal to children, parents associate them with junk food. That does yet not mean that they would not fall for health claims, realistic graphics, and natural claims which make them classify the junkfoods that were investigated in the study at hand as healthier.

    Fruit graphics in particular were misunderstood to indicate that the respective foods actually contained fruit, when they were simply meant to communicate flavors, instead. Against that background it's not surprising that the unsettling result of this study in 28 women and 2 men revealed that "[parents may make unhealthy food choices as a result of front-of-package information" (Abrams. 2014).
Intensity is key to reduce the exercise induced increase in appetite | more
Bottom line: I understand very well that for most of you only news item #2 is of practical value. Item #1, on the other hand, is rather a description of the misery than a solution and #3 is something that you as a SuppVersity reader probably knew, already... that being said, simply adding more polydextrose to the foods dumb parents buy for their kids because there are fruits on the packaging is not going to help their kids becoming overweight adults who begin to salivate, whenever they see the right food cues. A long-term solution to the problem would thus have to start with the production of healthier foods by the food industry and the education of the public who would then no longer fall for the unwarranted health claims on the packaging of children and adult food products | Comment on Facebook!
References:
  • Abrams, Katie M., Caitlin Evans, and Brittany RL Duff. "Ignorance is bliss: how parents of preschool children make sense of front-of-package visuals and claims on food." Appetite (2014).
  • Ibarra, Alvin, et al. "Effects of polydextrose on different levels of energy intake: a systematic review and meta-analysis." Appetite (2014).
  • Lummela, Netta, et al. "Effects of a fibre-enriched milk drink on insulin and glucose levels in healthy subjects." Nutrition journal 8.1 (2009): 45.
  • Meyer, Monica D., et al. "Pavlovian conditioning to hedonic food cues in overweight and lean individuals." Appetite (2014).

High Energy Flux, A New Determinant of Successful Weight Loss? Eat More, Train More, Lose More? Increased Resting Metabolic Rate & Satiety, Decreased Hunger While Dieting!

Always hungry? Can't lose weight? "Train more and eat more" (not less!) could be the solution.
A recent thesis from Rebecca Foright, highlights that a high energy flux state characterized by high daily energy expenditure (resulting from increased physical activity) with matching high energy intake (high calorie throughput) may attenuate the weight loss-induced energy gap by reducing hunger and ameliorate the otherwise diet-related reduction in resting metabolic rate.

Foright recruited recruited eleven obese study participants from the Colorado State University community and surrounding areas to test her "exercise more, eat more, lose more (easily)" hypothesis.

The enrollment criteria included: BMI between 30-43 kg/m², age 18-55 years, weight stable over the prior 12 months, desire to lose weight, and ability to exercise as assessed by electrocardiogram (ECG), resting blood pressure and a normal incremental exercise test to exhaustion with simultaneous ECG. Exclusionary criteria included: pregnancy or breastfeeding, smoking, use of medication known to affect appetite or metabolism (including but not limited to antidepressants and statins), or prior surgery for weight loss. In short, most of the participants were what we today call "healthy obese."
"The approach used in this study was a within-subjects cross-over experimental design to test the effect of high and low flux states following weight loss on resting metabolic rate and perceptions of hunger and satiety."
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The study protocol was divided into four distinct phases: (1) baseline testing phase prior to weight loss; (2) weight loss phase induced by a hypocaloric diet over the course of several months; (3) weight maintenance phase in which subjects were maintained at the reduced weight for 3 weeks; and (4) experimental phase in which measures were obtained of subjects’ resting metabolic rates, fasting and post-prandial perceived hunger and satiety, fasting and post-prandial circulating glucose, insulin, and PYY concentrations, and ad libitum food intake on the 5th day following low flux and high flux phase conditions, respectively, completed in random order with a three-day washout period in between (see Figure 1).
Figure 1: Experimental Timeline | #Order of Low Flux and High Flux were randomly assigned (Foright. 2014).
During the low flux condition subjects remained sedentary for four consecutive days. All food was provided so that energy intakes were adjusted to maintain energy balance.
  • resting metabolic rate (RMR) measurements on day 1-4 of the low flux phase
  • caloric intake was adjusted according to RMR everyday
  • subjects were fed standardized meals with a macro composition of 50/35/15 (carbohydrate/fat/protein) and an energy intake that was 1.3x the RMR
  • subjects had to refrain from physical activity (>3,000 steps per day)
  • at the end of day 5 the subjects completed a hunger/satiety questionnaire used to assess general feelings of hunger/satiety over the prior four days of the low flux condition
During the high flux condition subjects exercised on four consecutive days (approximately 500 net exercise kcal expenditure at 60% V02 max) and were fed additional food necessary to maintain energy balance.
  • resting metabolic rate (RMR) measurements on day 1-4 of the low flux phase
  • caloric intake was adjusted according to RMR everyday
  • subjects were fed standardized meals with a macro composition of 50/35/15 (carbohydrate/fat/protein) and an energy intake that was 1.7x the RMR
  • subjects were given pedometers and had to achieve at least 7,500 steps per day
  • subjects exercised at 60% of their VO2max to burn 500kcal
  • at the end of day 5 the subjects completed a hunger/satiety questionnaire used to assess general feelings of hunger/satiety over the prior four days of the low flux condition
Overall, a testing week consisted of two baseline days and 5 high/low energy flux days. In that, three identical experimental days were used to examine possible differences in perceptions of hunger and satiety, blood glucose, insulin, and PYY in response to breakfast preload, and ad libitum intake from a meal buffet.
Note: The caloric deficit that was designed to produce a 7% weight loss over the course of the 12-16 week long weight loss phase was identical in the undulating high and low energy flux phases of the study. The results are thus not a consequence of the increase in energy intake during the high flux phase (in fact the opposite was the case in some subjects, anway). The extra calories were after all burned again during the four exercise days.
"Now what is particularly interesting about the study is that the researchers did not content themselves with measuring the acute effects of high vs. low energy fluxes. They also investigated what happened after the 12-16 week weight loss phase.
To minimize the acute effects attributable to the dynamic phase of weight loss on metabolic rate and on hunger and circulating appetitive hormone concentrations, subjects were maintained at the seven percent lower body weight for a three-week period prior to the start of the low and high flux conditions. During these three weeks subjects reported to the KANC every three days to monitor weight and minimize weight fluctuations. Subjects were instructed to consume a slightly increased kcalorie intake compared to the weight loss phase to maintain weight" (Foright. 2014).
Put simply, the scientists wanted to know, whether the effects of high vs. low energy flux dieting would influence a dieters ability to lose weight and maintain the newly achieved weight.
Figure 2: Weight loss and energy flux where exactly as the scientists had planned (Foright. 2014)
As you can see, the average weight loss was almost identical to the targeted 7% (de facto "only" 6.9%). Similarly,
[...a]s designed, the energy intake for high flux (x±SD: 3,191±587 kcal/d) was significantly greater (p < 0.001) than for low flux (x±SD: 2,449±406 kcal/d) (Figure 2, right). In accord with the study design, there was no difference in macronutrient composition between the two conditions (data not shown)" (Foright. 2014).
Now all that would be pointless if both groups lost weight similarly effortlessly. In reality, though, On the subjects were significantly more hungry and felt less satiated at the end of each of the days during low flux.
Figure 3: As you see, the mean difference was already huge. It was more than huge in in
the subject who saw the greatest benefit (Foright. 2014).
On the other hand, they were significantly more full at the end of each of the days during high flux (p=0.015). There was a strong trend for the subjects to exhibit greater hunger throughout the day during low compared to high flux (p=0.09).
RMR increases sign. in trained but not untrained subjects in a high energy flux state - no training, no difference between the two groups - the energy balance was identical in both conditions (Bullough. 1995)
No, this is not an outlier study: In 1995 Bullough et al. were already able to show that the resting metabolic rate on diet + exercise regimen that established an identical energy balance was greater in trained than in untrained subjects only when trained subjects were in HF. As Bullough et al. point out "[t]hese data indicate that RMR is influenced by exercise, energy intake, and their interaction and suggest that higher RMR in trained vs untrained individuals results from acute effects of HF rather than from a chronic adaptation to exercise training." (Bullough. 1995) Bell et al. on the other hand found that "[m]aintenance of high energy flux via regular exercise may be an effective strategy for maintaining energy expenditure and preventing age-associated obesity" (Bell. 2013).

And Goran et al. (1994) found that "RMR can be elevated during a state of energy balance when energy flux is increased," and that the "magnitude of adaptive change in RMR is similar in response to increased EI [energy intake] and/or PA [physical activity]." 
Figure 4: The subject who saw the greatest satiety benefit in the high flux phase was also the one that consumed the most energy on the low flux condition - even more than on the high flux condition (Foright. 2014)
Interestingly, the subject who saw the largest benefit (see Figure 3) was also the guy or gal who consumed the most energy in the low flux condition (orange line in Figure 4).

So what about the health markers?

The  fasting insulin decreased following weight loss and was significantly lower on the LF (8.3±1.1 µU/ml) and HF (6.4±0.8 µU/ml) experimental days compared to the pre-weight loss baseline (11.8±0.6 µU/ml). In other words, while both groups saw significant increases in insulin sensitivity due to dieting, the effects were (unsurprisingly) significantly more pronounced during the high energy flux (=exercise phase).

In contrast to what the significant differences in hunger ratings would suggest, there were no general differences in fasting PYY (the satiety hormone) concentrations among pre-weight loss, low and high flux conditions respectively.
Figure 5: Insulin and PYY levels of the subjects in the high and low flux phases over the course of the day (2014).
If you look at the data in Figure 5, it's obvious that the PYY levels were in fact lower in the high flux condition - from 180-360 minutes in the high flux condition compared to the baseline (pre-weight loss) and low flux, to be precise.
Figure 6: Average resting metabolic rate at baseline and across 5 days of low and high flux (Foright. 2014)
So what? Beneficial, not beneficial, or not sure? In spite of the absence of significant differences in PYY, the post-diet response of the subjects clearly indicates that the energy deficit was easier to tolerate in the high flux phases.

The slightly, but significantly higher resting metabolic rate during the high flux phases further underlines that there is a benefit of eating more and training more and the absence of corresponding evidence from any of the hormonal markers measured may simply be related to a "bad" choice of markers. If the researchers had determined the level of the hunger hormone ghrelin, instes, it may well have been that we would have had a physiological explanation for the "hunger difference".

The way it is, we still have the decreased subjective hunger, increased subjective satiety and increased RMR which speak in favor of the high flux state dieting. What we do not know, though, is whether the effects will be the same in athletic (vs. sedentary) subjects [based on my personal experience we will!] and whether they can be maintained for say 4 weeks instead of four days | Comment on Facebook!
References:
  • Bell, Christopher, et al. "High energy flux mediates the tonically augmented β-adrenergic support of resting metabolic rate in habitually exercising older adults." The Journal of Clinical Endocrinology & Metabolism 89.7 (2004): 3573-3578.
  • Bullough, Richard C., et al. "Interaction of acute changes in exercise energy expenditure and energy intake on resting metabolic rate." The American journal of clinical nutrition 61.3 (1995): 473-481.
  • Foright, Rebecca. A high energy flux state attenuates the weight loss-induced energy gap by acutely decreasing hunger and increasing satiety and resting metabolic rate. Diss. Colorado State University, 2014.
  • Goran, Miachel I., et al. "Effects of increased energy intake and/or physical activity on energy expenditure in young healthy men." Journal of Applied Physiology 77.1 (1994): 366-372.
  • Rarick, Kevin R., et al. "Energy flux, more so than energy balance, protein intake, or fitness level, influences insulin-like growth factor-I system responses during 7 days of increased physical activity." Journal of Applied Physiology 103.5 (2007): 1613-1621.

Skipping Breakfast Decreases Energy Intake, Water Before Meal Trick Works, Food Addiction Self-Diagnosis, Eating Speed & Obesity, Chilled Water as a Nootropic & More

Food addiction is a self-diagnosed disease that befalls preferentially those people who spend hours and days on the Internet seeking for an excuse for their inability to lose weight.
It has been a while since I have published the last installment of the short news. Today, however, the publication of the latest edition of the scientific journal Appetite appears to be a good opportunity to finally put out another of the short news potpourris.

I mean, one of the study shows that it may be essential for your well-being to listen to what scientists say and eat healthy, not unhealthy, which is associated with below average well-being in undergraduate students at the Cardiff University (Richards. 2014). But the study by Richards et al. is by no means the only one with highly health-relevant and surprisingly interesting information you will find in today's short news potpourri.
Learn more about the effects of your diet on your body composition at the SuppVersity

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I mean, who would have guessed that we have a built-in apathy against being too close to obese individuals? No? Well, me neither, but this is just what L.D. Stafford and K. Banks found in their latest study: "[T]he mere proximity effect", which occurs, when normal-weight individuals stand close to obese ones, "can be influenced positively or negatively depending on the perceived status of the non-target individual and that implicit attitudes act to modulate this effect" (Stafford. 2014).

And there is more than just exotic study results in the latest edition of Appetite - examples? Well, here you go:
  • Another recent study indicates: Having a small breakfast (118kcal) before morning can benefit 5h post-exercise mood and appetite control in the time between breakfast and lunch and will avoid the cognitive decline associated with consuming a larger breakfast (Vasey. 2014)
    Another breakfast-omitting study (Plekhanova. 2014) shows that high energy intakes at breakfast increase the total daily energy intake compared to both no breakfast and a regular breakfast. Interestingly, though, the energy intake between 9:00-14:00 and 14:00-bedtime was similar between conditions (P>0.05).

    Overall, the most important message of the study is thus, the subjects of the UK study at hand indicates that normal- and overweight 2 to 14 year-old girls do not appear to compensate by consuming more energy over the remainder of the day during three days of breakfast omission compared with habitual or high-energy breakfast consumption.

    "The lack of compensation in terms of energy intake indicates that energy expenditure may be more important in explaining the higher obesity risk in girls who do not regularly consume breakfast," the scientists who are still analyzing the effects on physical activity point out.
  • Scientists find what makes the British fat (Stewart-Knox. 2014) and it's the spit image of the sedentary, meat eating, oil omitting, non-resilient man with higher mood valance and sick relatives. Of these indirect pathways to dietary habits, physical activity level, higher resilience and mood valance were directly related to negative life events, which are thus another determinant of increased waist circumference in middle-aged British adults.

    Sounds crazy? Well, but that's exactly what scientists from the University of Bradford found to be associated with increased weight circumference in a representative samples of middle-aged adults aged >43 years were recruited in Great Britain (GB) (n = 1182). 
Think of energy containing foods as fluids... and bang! they become more satiating! A recent study from the University of Sussex (McCrickerd. 2014) confirms once again that satiety is triggered in the brain. In a small scale study the researchers observed that the satiating effects of one and the same calorie containing beverage increased when it was served as a "filling snack" instead of a fluid that was designed to "quench the thirst".
  • The water-trick works (Corney. 2014) you all know that common wisdom is commonly bullsh*t, but in the case of the "water-preload reduces food intake" myth, scientists from the Loughborough University have recently been able to show that "consumption of 568 ml water immediately before a meal reduces energy intake in non-obese young males and might therefore be an effective strategy to suppress energy intake in this population."

    When the participants arrived at the laboratory fasted (7–10 am) all consumed an ad-libitum porridge breakfast, with either 568 ml water (PRE) or no water (NO-PRE) consumed immediately before the meal. Subjective feelings questionnaires to assess hunger, fullness and satisfaction were completed before (pre-trial) and after (post-trial) the meal in both trials and after the water preload (post-PRE) during PRE.

    Figure 1: Energy intake w/ and w/out water preload (Corney. 2014)
    As you can see in Figure 1, the subjects who didn't receive the water preload consumed statistically significantly more energy than those who didn't.

    Immediately after the water preload the subjects in the PRE group also experienced an increase in fullness and satisfaction and a decrease in  hunger compared to pre-trial.

    After the meal, on the other hand, the fullness and satisfaction ratings in both groups were identical.

    Thus, "[t]his study demonstrates that consumption of 568 ml water immediately before a meal reduces energy intake in non-obese young males and might therefore be an effective strategy to suppress energy intake in this population." (Corney. 2014) Drinking water with the meal, by the way has previously been shown to be not effective to reduce the food intake in lean women (Rollls. 1999); in obese older individuals, on the other hand, it worked (Davy. 2008)
    Figure 2: Weight loss (left) and energy intake (right) in a 12-week study investigating the effects of
    pre-meal water intake (500ml) on weight loss (Dennis. 2014)
    Moreover, a study by Dennis et al. shows that consuming 500 ml water prior to each daily meal helped subjects on a hypocaloric diet lose an extra ∼2 kg over the course of a 12-week study (Dennis. 2010).
  • We buy & eat the packages we know and like (Gutjar. 2014), study shows. While in a blinded condition liking was the only determinant of food choice in a recent study from the Wageningen University, food choice in the "familiar package session", where the subjects had to pick from a bunch of unhealthy breakfast drinks and dessert products, lay between the blind and naïve package session.
Question: Can advertising make us choose certain foods? At least in preschool children it takes just 30 seconds of ad-exposure to influence their food preferences (Borzekowski. 2001). "Nutritionists and health educators should advise parents to limit their preschooler's exposure to television advertisements," scientists say.
  • The scientists interpret their results as being indicative of the guiding effect of extrinsic factors, in this case the packaging, which can have a similar impact on food choices as intrinsic (sensory) properties.
  • Figure 3: Previous studies show that chewing your food 40x vs. 15x will significantly reduce the food intake in lean and obese subjects. Sign. effects on hunger and satiety will yet be apparent only in the obese (Li. 2011)
    Fast eaters have higher BMI, waist circumference and body fat! Scientists from the Wageningen University analyzed data from 311 men and 551 women from the Dutch NQplus cohort. What they found was that (a) 17.4% of the women described themselves as being slow, 54.3% as average and 28.3% as fast eaters and that (b) fast eating women had higher weight, BMI, waist circumference and body fat (p<0.05).

    Similar results were observed for the male participants of whom 8.7% of reported to be slow, 44.7% average and 46.6% fast eaters. A result that supports previous evidence indicating that a reduction in eating speed / increase in chewing frequency decreases food intake.
  • Chilled water as a nootropic! You've read previously that 500ml water can help you lose weight. Interestingly enough the same 500ml chilled water may also help you master your next exams.

    According to a study from the University of Reading the consumption of 500ml of chilled water before a set of standardized cognitive tests will improve performance in several of the tests in young and older individuals (Masento. 2014).
  • High flavenol cacao drink increases cerebral perfusion in older individuals (Lamport. 2014) One of the latest studies from the University of Reading investigated the effect of a single acute dose of flavanols on cerebral blood flow and fount that the flavenol-rich (494 mg vs. 23mg) drinks  lead to significant increases in regional perfusion across.
  • Figure 4: In contrast to whole fruit which increase the risk of diabetes, fruit juices increase T2DM risk sign. (Muraki. 2014)
    If it contains fruits or a lot of water it must be healthy (Bucher. 2014). Parents and children's health perception of beverages are highly susceptible to marketing gabberish. Worst of all, while "water is good", "fruit is even better".

    In the eyes of the parents and kids who participated in a recent study at the ETH Zürich fruit content seemed to be a more important criterion specifically for children to rate a certan food as "healthy". Bad news, in view of the fact that fruit juice - in contrast to whole fruit - consumption is associated with an 8% increase in type II diabetes risk according to a 2013 Harvard study (Muraki. 2013).
Food addicts - what do they say about themselves? A recent study (Ruddock. 2014) found that those who identified as a ‘food addict’ reported frequent food cravings, a preoccupation with food, unhealthy eating patterns, a lack of dietary self-control, and the tendency to eat in the absence of hunger. Furthermore, food addicts reported a problem controlling their intake of foods high in fat and/or sugar. Non-addicts reported the opposite to these behaviours, thus indicating that self- perceived addicts and non- addicts share similar beliefs about what characterizes food addiction.
And last but not least, I want to conclude this installment of the short news with a primer on food addiction. An Internet-based disease... well, sort of. The latest data from the University of Liverpool (Hardman. 2014) would at least suggest that having read on the Internet (or elsewhere) about food addiction and the subsequent belief in the existence of this pathology increases the prevalence of being a “food addict” on both the self-diagnosed measure (57% vs. 27%, respectively, p = .018) and the Yale Scale (16% vs. 0%, p = .02).
As Herbert points out, "[t]hese findings suggest that people readily endorse the concept of food addiction as an explanation for their behaviour." (Herbert. 2014) What will have to be determined in future studies, however, is whether one's belief in his / her own food addiction will also affect the actual food intake -- in other words: Is there a "I am a food addict, so I can't but eat until I die" phenomenon | Comment on Facebook.
References:
  • Borzekowski, Dina LG, and Thomas N. Robinson. "The 30-second effect: an experiment revealing the impact of television commercials on food preferences of preschoolers." Journal of the American Dietetic Association 101.1 (2001): 42-46. 
  • Bucher, T., M. Siegrist. "If it contains fruits or a lot of water it must be healthy. Parents and children's health perception of beverages." Appetite 83 (2014):347.
  • Corney, R.A., C. Sunderland, L.J. James. "Effect of an immediate pre-meal water preload on voluntary energy intake in non-obese young males." Appetite 83 (2014):361.
  • Davy, Brenda M., et al. "Water consumption reduces energy intake at a breakfast meal in obese older adults." Journal of the American Dietetic Association 108.7 (2008): 1236-1239.
  • Dennis, Elizabeth A., et al. "Water Consumption Increases Weight Loss During a Hypocaloric Diet Intervention in Middle‐aged and Older Adults." Obesity 18.2 (2010): 300-307.
  • Gutjar, S., C. de Graaf, G. Jager. "Food choice. The battle between package, taste and consumption situation." Appetite 83 (2014):358 
  • Hardman, C.A., H.K. Ruddock, R. Dallas, J. Scott, P.J. Rogers, E. Robinson. "Food addiction, myth or reality? The effects of priming beliefs about food addiction on self-diagnosis and consumption." Appetite 83 (2014): 355.
  • Lamport, D., D. Pal, C. Moutsiana, D.T. Field, C.M. Williams, J.P.E. Spencer, L.T. Butler. "The effect of flavanol rich cocoa on cerebral perfusion in older adults during conscious resting state." Appetite 83 (2014):351.
  • Li, Jie, et al. "Improvement in chewing activity reduces energy intake in one meal and modulates plasma gut hormone concentrations in obese and lean young Chinese men." The American journal of clinical nutrition 94.3 (2011): 709-716. 
  • Masento, N.A., A. John, V. Wilton, V. Benzesin, D.T. Field, L.T. Butler, C.M. van Reekum. "Investigating the effects of acute water supplementation on cognitive performance and mood in young and older adults." Appetite 83 (2014):355.
  • McCrickerd, K. L. Chambers, M.R. Yeomans. "Food or fluid? The context of consuming a beverage influences satiety." Appetite 83 (2014):348.
  • Muraki, Isao, et al. "Fruit consumption and risk of type 2 diabetes: results from three prospective longitudinal cohort studies." BMJ: British Medical Journal 347 (2013).
  • Plekhanova, T., J.K. Zakrzewski, Effect of consuming compared with omitting breakfast on free-living energy intake and eating patterns in overweight and non-overweight adolescent girls, Appetite 83 (2014):361.
  • Richards, G., A.P. Smith. "Diet and wellbeing in undergraduate students." Appetite 83 (2014): 362.
  • Rolls, Barbara J., Elizabeth A. Bell, and Michelle L. Thorwart. "Water incorporated into a food but not served with a food decreases energy intake in lean women." The American journal of clinical nutrition. 70.1 (1999): 448-455. 
  • Ruddock, H.K., C.A. Hardman, M. Field. "'I perceive myself to be a food addict'. A qualitative exploration of the ‘food addiction’ concept." Appetite 83 (2014):355.
  • Stafford, L.D., K. Banks. "Don't (do) stand so close to me. Mere proximity effects in overweight and underweight contexts." Appetite 83 (2014): 362.
  • Stewart-Knox, B., M. Duffy, B. Bunting, D. Almeida, M. Gibney. "Psychological pathways to central obesity in healthy middle-aged British." Appetite 83 (2014):361.

L-Cysteine as a Satiety Trigger: Sign. Ghrelin & Appetite Suppression in Rodents & Humans - Which Foods Are High in Cysteine & Will They Really Help You Lose Weight?

Egg whites are among the best dietary sources of cysteine
You've read about the satiety effects of several amino acids, like arginine, lysine and glutamic acid, about which you've read approximately one year ago right here at the SuppVersity (learn more). That cysteine, an semi-essential amino acid that can be biosynthesized in humans from methionine, would have the same effects, however, is news - even for seasoned SuppVersity veterans.

The news comes right from laboratories of London's King's and Imperial College, where McGavigan  and colleagues investigated the effects of oral and intraperitoneal administration of a range of amino acids on food intake in rodents.
Learn more about the effects of your diet on your body composition at the SuppVersity

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In their preliminary studies, McGavigan et al. identified l-cysteine, a conditionally essential amino acid that acts as a precursor for biologically active molecules such as hydrogen sulphide (H2S), glutathione and taurine, as an anorectic agent. Needless to say that they felt inclined to further investigated the effects of l-cysteine on appetite in rodents and humans and the mechanisms mediating these effects.
Figure 1: The effect of oral administration of L-andD-cysteine in rats (left) and the effect of intraperitoneal (middle)
and oral (right) administration of L-cysteine on 0–1-h food intake during the early light phase after an
overnight fast in male in male C57BL/6 mice (McGavigan. 2014)
As you can see in Figure 1 the administration of different dosages of l-cystein, but not d-cysteine (Figure 1, left), lead to a significant reduction in 0–1-h food intake in the early light phase following an overnight fast. This effect was identical, but required higher dosages of l-cysteine (human equivalent 0.036 or 0.072g/kg when it was administered orally vs. via intraperitoneal injection.
Where do you find cysteine in foods? Egg whites, whey protein (concentrate, Bounous. 1989) beef and milk are the best sources with 1.2g, 1.15g, 1.0g, and 0.72g per 200kcal serving. Cottonseeds, sprouted lentils, soy protein isolate and defatted sunflowers flour are top sources for vegetarians with 0.7g, 0.65g, 0.63g and 0.58g cysteine per 200kcal serving (nutritiondata.com).
Figure 2: L-cysteine suppresses plasma acyl ghrelin levels in rats. Plasma levels of (a) acyl ghrelin and (b) l-r: GLP-1 and PYY, 30 min after oral gavage of water or 4 mmol/kg l-cysteine (n=7–8), (c) acyl ghrelin and (d) l-r: GLP-1 and PYY, 30 min after intraperitoneal administration of saline or 2 mmol/kg l-cysteine (McGavigan. 2014)
Next to the effects on food intake, the rodent study revealed that an increase in respiratory exchange ratio (=more CHO vs. FATs were burnded) and an increases neuronal activation in the rat brainstem without negative behavioral side effects. What the researchers did not observe, though, was an a reduction in gastric emptying that would be the most straight forward explanation for the reduction in food intake. Against that background, the reduced levels of the hunger hormone ghrelin (see Figure 2) appears to be the most likely mechanism by which the l-cysteine gavage may have lowered the animals' food intake.

This hypothesis is supported by the fact that l-cysteine didn't reduce the food intake of the gen. modified mice which overexpress ghrelin (data not shown in Figure 2).
The effects remain significant with repeated administration: Even when the "trick" is repeated thrice daily for five days, the administration of l-cysteine still lead to an acute reduction in food intake and a corresponding decrease in the cumulating food intake over the 5-day study period in rodents - in view of the short study period obviously without reductions in body weight.
Now we all know that mice are no little men. Therefore, the important question that's rightly preying on your mind now is: Did this work in humans, as well? The answer is pretty straight forward: Yes, it did!
Figure 3: 0.07g/kg l-cysteine in 200ml water lead to significant reductions in hunger ratings and acyl-ghrelin in humans as the corresponding dose in rodents (McGavigan. 2014)
As you can see in Figure 3, the administration of either "vehicle" (=placebo) alone or the same 200 ml drink containing 0.07 g kg/1 l-cysteine in a single-blind (participant) randomised order lead to similar decreases in acyl-ghrelin (hunger hormone) and hunger ratings in the healthy men and women who participated in McGavigan's study.
If you haven't done this, already, it's time to check out the results of the previously cited study by Jordi et al. (2013), now | learn more
Bottom line: Luckily, McGavigan et al. did all the work for me and compared the effects of cysteine in the study at hand to the previously reported effects of arginine & co, I referenced in the introduction and found that "l-cysteine is more anorectic than l-arginine and l-lysine." (McGavigan. 2014)

Furthermore, the researchers point out that "[i]f l-cysteine does have a physiological effect on appetite, then it is likely to act in concert with other products of protein digestion, and thus the effects of l-cysteine per se may be difficult to detect." (McGavigan. 2014) In other words, the repeatedly demonstrated satiety effects of high protein diets may - in parts - be mediated by their cysteine content.

In view of the fact that the effects occur at dosages that do not trigger taste aversion or evoke abnormal behaviour, it may even be possible to administer l-cysteine supplements to overweight individuals before every meal to reduce their food intake and trigger (probably) slow, but persistent weight loss. Since the real-world food intake wasn't measured in humans, yet, this would have to be confirmed in future trials, though | Discuss this article on Facebook!
References:
  • Bounous, Gustavo, Gerald Batist, and Phil Gold. "Immunoenhancing property of dietary whey protein in mice: role of glutathione." Clin Invest Med 12.3 (1989): 154-61.
  • Jordi, Josua, et al. "Specific amino acids inhibit food intake via the area postrema or vagal afferents." The Journal of physiology 591.22 (2013): 5611-5621. 
  • McGavigan, A. K., et al. "l-cysteine suppresses ghrelin and reduces appetite in rodents and humans." International Journal of Obesity (2014).

Taste Matters - Bypassing the Taste Receptors Increases the Insulin & CCK Satiety Hormone Response to Food Ingestion - Why is That & What Are the Implications, If There Are Any?

Infusions of nutrient solutions via a tube is often the last resort for doctors to save anorexic patients' lives - it's yet nothing anyone should do voluntarily for the satiety plus Spetter et al. observed.
As a SuppVersity Reader you are no stranger to "incretin hormones" and their release in response to the interaction of food with the taste receptors that are distributed all over your body. Against that background you will probably not be surprised to hear that Martjee S. Spetter and her colleagues from the University Medical Center Utrecht and the Wageningen University found that bypassing oral the stimulation of oral taste receptors decreases the satiety and alters the appetite hormone response to a given meal.

As the Dutch researchers point out, the interaction between oral and gastric signals is an important part of food intake regulation.
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In that, Spetter et al. are not the first to obversve that bypassing the oral taste receptors may diminish the suppression of hunger and increases gastric emptying rate. The role of appetite hormones, like cholecystokinin-8 and ghrelin, in this process, however, is still unclear.

The objective of Spetter et al.'s latest study was thus to determine the contributions of gastric and oral stimulation to subsequent appetite and hormone responses and their effect on ad libitum intake.
The scientists recruited fourteen healthy male subjects (age 24.6 ± 3.8y, BMI 22.3 ± 1.6 kg/m²) who participated in their randomized, single-blinded, cross-over experiment with 3 treatmentsessions:
  • Stomach distention, only: naso-gastric infusion of 500 mL/0 kJ water, 
  • Stomach distention with caloric content: naso-gastric infusion of 500 mL/1770 kJ chocolate milk, and 
  • Stomach distention with caloric content and oral exposure: oral administration of 500 mL/1770 kJ chocolate milk.
Due to the specific design of the experiment, the distention of the stomach, of which you've learned previously on the SuppVersity that it is a major contributor to the satiety response (see "True or False: High Volume + Nutrient + Low Energy Foods Keep You Lean." | learn more) was fully controlled in the study at hand.
Hunger & desire to eat increase significantly faster after isocaloric liquid vs. solid meals (Tieken. 2007)
No, the study at hand does not imply that you should tube feed yourself: If we take into account that Jones & Mattes observed only recently that the satiety response to liquid meals is generally impaired, even in lean individuals (obese individuals cannot compensate for energy from beverages or solid foods | Jones. 2014), the results may well be different for a solid meal that would be chewed, not just swallowed like the chocolate milk in the study at hand.

Take a look at the data from Tieken et al. (2007) on the left, for example. They found that a liquid meal providing 25% of the daily energy requirement provides a lower and less sustained suppression of hunger and desire to eat than an isocaloric solid meal.
The stomach distention, only, trial can thus serve as a baseline. If we assume that the taste receptors in the mouth were irrelevant and the satiety response would be controlled solely by the amount of type of nutrients that arrive in the stomach, there should be a difference between the control infusion with water and the infusion of chocolate milk, but there should be no difference between the infusion compared to the ingestion of the chocolate milk.
Figure 1: Fullness rating (top) and desire do eat (bottom) in response to infusion (light and dark grey bars) of water and chocolate milk, respectively vs. the ingestion of chocolate milk (dark bars; Spetter. 2014).
As you can see in Figure 1, the latter was not the case. While there were no differences in the fullness ratings (top) and desire to eat (bottom) between chocolate milk and water, when it was infused through the nose, the subjects felt significantly fuller and had a significantly lower desire to eat, when they drank the chocolate milk the way nature intended it.

Things never are as you would expect them to be

Now, everyone would expect that the decrease in desire to eat and the increased fullness in response to the regular (=oral) ingestion of chocolate milk would significantly reduce the energy intake on a subsequent meal, right?
Figure 2: In contrast to what the data in Figure 1 would suggest there was no significant difference between the effects the intra-nasally infused chocolate milk (CM) and the regularly consumed CM had on the ad-lib. intake on a subsequent meal  (Spetter.2014) - How can that be? Maybe the higher satiety hormones in the infusion trial (see Figure 3)
Well, as you can see in Figure 2 this is not the case. There is a reduction in energy intake, but in contrast to the comparison to the water infusion (right), the difference between the oral chocolate milk vs. the intra-nasally infused chocolate milk was not significant.
Figure 3: The increase in the satiety hormones insulin (top) and CCK-8 (bottom) is more pronounced, when the taste receptors in the oral cavity are bypassed (Spetter. 2014)
But why is the intra-nasally administered chocolate milk eventually more "satiating"? Well, if you take a closer look at the previously mentioned CCK-8 and insulin response (see Figure 3), you will see that the increase in these satiety hormones (yes, insulin increases satiety; cf. Anika. 1980; Vanderweele. 1994) is more pronounced, when the taste receptors in the oral cavity are bypassed and the chocolate milk is infused intra-nasally. For the ad-libitum meal that was served 45 minutes later, this increase was more important than the increased feeling of "fullness", let alone the highly subjective desire to eat" (Figure 2).

As Spetter et al. point out, this initially counter-intuitive result provides evidence for the "common but relatively poorly underpinned idea that learned associations between sensory signals and ensuing metabolic consequences serve to adapt hormone responses based on nutrient content" as it was previously observed by Zafra et al. (2006) and Power et al. (2008).

In view of the obesity problem, the results support the idea that a relative lack of oral stimulation, due to e.g. caloric beverage or other fast food consumption can result in overeating by weakening satiety (de Graaf. 2010), an effect of which Jones & Mattes have shown that it is impaired in obese individuals and reduced in lean and obese individuals, when the energy they consume comes from liquid foods, like shakes (Jones. 2014) | Comment on Facebook!
Reference:
  • Anika, S. M., T. R. Houpt, and K. A. Houpt. "Insulin as a satiety hormone." Physiology & behavior 25.1 (1980): 21-23.
  • de Graaf, Cees, and Frans J. Kok. "Slow food, fast food and the control of food intake." Nature Reviews Endocrinology 6.5 (2010): 290-293.
  • Jones J.B., Mattes R.D. "Effects of learning and food form on energy intake and appetitive responses. Physiol Behav. 21 (2014):1-8.
  • Power, Michael L., and Jay Schulkin. "Anticipatory physiological regulation in feeding biology: cephalic phase responses." Appetite 50.2 (2008): 194-206. 
  • Tieken, S. M., et al. "Effects of solid versus liquid meal-replacement products of similar energy content on hunger, satiety, and appetite-regulating hormones in older adults." Hormone and metabolic research= Hormon-und Stoffwechselforschung= Hormones et metabolisme 39.5 (2007): 389.
  • Vanderweele, Dennis A. "Insulin is a prandial satiety hormone." Physiology & behavior 56.3 (1994): 619-622.
  • Zafra, María A., Filomena Molina, and Amadeo Puerto. "The neural/cephalic phase reflexes in the physiology of nutrition." Neuroscience & Biobehavioral Reviews 30.7 (2006): 1032-1044.