Thursday, June 16, 2011
Is Late Night Eating Better for Fat Loss and Health?
1:45 PM | Posted by
Unknown |
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If late night eating interferes with fat loss, why do people who eat more in the evening lose more fat than people who don't?
If carbs become fattening after 6 PM, how come people who eat more carbs after 6 PM lose more fat than those who eat them earlier in the day?
If we should "eat breakfast like a king, lunch a queen, dinner like a pauper", then why does breakfast skipping and nightly feasts lead to fat loss and improved blood lipids?
If eating late is bad for you, why does almost every controlled study show that eating later in the day is better than eating earlier in the day?
And if the above statements are true, why do people still believe that late night eating is bad for you...?
The Late Night Eating Myth
It's commonly believed that it's better to eat more earlier in the day and less later in the day; eating late can supposedly interfere with fat loss and/or cause unwanted weight gain. In a nutshell, this myth is summed up by the saying that you should "eat breakfast like a king, lunch a queen, dinner like a pauper."
You will often find proponents of broscience clinging to the notion that carbs somehow become more fattening after 6 P.M. This is nonsense of course.
But the facts are actually more interesting than what I've previously stated; in controlled studies, late eating patterns are superior for fat loss and body composition.
In this article, I'll review studies on temporal distribution of calorie intake and summarize the results. I will devote a bit of extra attention to the latest study, "Greater Weight Loss and Hormonal Changes After 6 Months Diet With Carbohydrates Eaten Mostly at Dinner", which is what caused me to revisit this topic in the first place.
One pressing question first: Why is the late night eating myth still around if there are studies showing the exact opposite..?
Late Night Eating in Dietary Epidemiology
Someone asked this in comments:
"Is it ok to eat dinner 1-2h before bedtime? Note that every damn meat eating mammal goes to sleep after consuming massive amounts of food e.g lions, dogs, bears but apparently somewhere down the line, nutritionist´s came up with the conclusion that we somehow evolved. So it would be nice if someone came with some evidence that you shouldn´t eat before bed. I really don't understand why not, could you please explain?"
Yes, how did nutritionists arrive at the conclusion that eating before bedtime is bad for you?
The late night eating myth is mainly another consequence of mistaking correlation for causation in dietary epidemiology. There are plenty of observational studies that have found a positive association between calories consumed in the evening and a higher BMI in the general population.
This association is solely attributed to the fact that Average Joe's who like to eat more in the evening also consume more calories overall. In this study, it was deducted from food logs that late eaters consumed on average 248 calories more than the other group.
Similar relationships are commonly found in other observational studies on meal patterns. People who skip breakfast, skip meals and eat late at night are on average fatter and worse off than people who eat breakfast, regular meals and eat less in the evening. This has nothing to do with meal timing per se, but the lifestyle that goes in hand with "dysregulated" eating habits (as discussed in "Top Ten Fasting Myths Debunked").
Late night eating is not only correlated to a higher calorie intake, but also less sleep time and more sedentary activities, i.e. watching TV and more time spent in front of the computer, which are additional confounders that can predispose people to weight gain.
Shift-Work and Circadian Rhythms
The imagined hazards of late night eating might also be the result of the scientific literature on shift-workers and metabolic health. Shift-workers are predisposed to a myriad of health disorders; obesity, poor mental health, cardiovascular disease, peptic ulcers and gastrointestinal problems (likely a result of chronic stress).
The negative effects of shift-work on health is mainly the result of a compromised diet, sleep deprivation, and stress - these tend to go hand. However, it's possible that feeding under conditions of a disrupted circadian rhythm and an irregular meal pattern is an independent factor in the predisposition towards poor health amongst shift-workers.
Humans can adapt to a wide variety of feeding regimens depending on the habitual meal pattern. This entrainment takes place on a cellular level and is regulated by ghrelin, a hormone that increases during meal times and prepare your metabolism to best handle a nutrient load. Similarly, the circadian rhythm - when you awake and go to sleep - is regulated by daylight and habitual sleep/wake-cycle, and adapts your metabolism accordingly.
Simply put, your body expects a certain routine every day, depending on habitual diet patterns and sleep/wake cycles, and adjusts its hormonal profile and metabolism accordingly. If this pattern is haphazardly and constantly shifted back and forth, and never allowed to adapt, as is the case with many shift-workers - it's very possible that it would be an independent factor in predisposing people to disease and health disorders. The hormonal profile of shift-workers tend to be less favorable than non-shift workers, for example.
It should be noted that permanent shift-workers, i.e. those who always work nights, or work nights on consecutive days, are better off than other shift workers, which is partly be explained by re-entraining the circadian rhythm; it seems that an "unpredictable" pattern, i.e. rotating day and night-shifts is the main culprit, as the circadian rhythm is constantly desynchronized. However, given the many confounders present amongst shift-workers, i.e. stress, sleep loss, calorie intake, it's hard to isolate which factor does what, i.e. is feeding during biological night worse than sleep deprivation, etc.
Dietary Epidemiology vs Controlled Studies
The aforementioned studies are of no interest to us. We are interested in controlled studies, not dietary epidemiology and observations in the general population. If you use dietary epidemiology to tell people how they should be eating you get this: The USDA Dinner Plate. When you use controlled studies to draw a conclusion, you get something that looks a little bit more like this. Throw some veggies in there and you're all set.
Controlled studies answers questions like "I'm on a 2000 calorie diet. How will fat loss be impacted if I eat most of those calories in the later part of the day versus the earlier part of the day?" That's what interesting to us, so let's look into this now.
Early Meal Patterns vs Late Meal Patterns: Controlled Studies
In all of these studies, calories were controlled and fixed for all groups. The only variable that differed was the temporal daily distribution of calorie intake. In late meal patterns, 67-100% of total daily caloric intake was eaten between 6 PM and bed time, and this was compared against an early meal pattern with an opposite pattern.
Starting with the earliest study and working myself down to the latest study, I'll briefly summarize the results, comment on the validity of the study, and interject whatever else of interest I find in each study.
Note that I will not include studies on Ramadan fasting. In loosely controlled studies on Ramadan fasting, fat loss and improvements in health markers is commonly found. This is a paradoxical and interesting finding, simply for the fact that people eat in the middle of the night, shortly before bedtime, along with a concomitant increase in intake of sugary treats and baked goods (and sometimes total calorie intake). However, these are rarely calorie-controlled studies, i.e. participants do not have strict guidelines about what they should eat, which is why I will not include them in this review.
Study #1
Study #2
Study #3
An interesting study with a few glaring limitations, mainly the small sample size (10 participants) and the way body composition was measured (total body electrical conductivity, which is somewhat similar to BIA discussed in "Intermittent Fasting for Weight Loss Preserves Muscle Mass?").
This study also included weight training 3x/week, which was a serious confounder in this specific study design. Given that the PM-group consumed a greater percentage of their calorie intake post-workout, this study might simply show the benefits of nutrient timing, and not bigger PM meals per se.
AM-Setup:
Breakfast, 8-8.30 AM: 35% of total daily calorie intake
Weight training (circuit style), 9-9.30 AM
Lunch, 11-12 PM: 35%
Dinner, 4.30-5 PM: 15%
Evening snack, 8-8.30 PM: 15%
PM-Setup:
My client Gary here demonstrates the fattening effects of post-6 PM carbs. Gary followed the Leangains one pre-workout meal protocol and ate more than 75% of his daily calorie intake and >200 g carbs after 6 PM.
Finally, the researchers speculate on the muscle sparing effects of the PM-pattern:
Study #4
Results: Using almost the exact same setup as the aforementioned study by Sensi & Capani (1987), it was found that splitting the daily calorie intake evenly into five meals consumed every other hour between 9 AM-8 PM, eating all calories in the morning (9-11 AM), or in the evening (6-8 PM) did not affect weight loss, metabolic rate or cortisol differently. The limitations here are once again a very short study duration for each phase (18 days). Quote for those worrying about cortisol and fasting:
Study #5
Note that leptin displays significant latency in response to carbs; if you eat carbs before you go to sleep, you won't be experiencing the peak until you wake up in the morning (an added bonus is that you sleep good with some carbs pre-bedtime).
This study also sought to examine the effect of the experimental diet on adiponectin.
* Low adiponectin = bad. High adiponectin = good.
* When insulin is low, adiponectin is high, but adiponectin also follows a diurnal pattern; low during night time, high during daytime (in normal weight individuals).
* In the obese, chronically high insulin causing chronically low adiponectin is a problem as it increases insulin resistance and inflammation. By omitting carbs during the earlier part of the day, the researcher's hypothized that this would increase adiponectin and improve health markers more than the conventional diet.
Setup: Both groups received the same diet divided into breakfast, lunch, dinner and as three "snacks" (morning, afternoon, night):
1300-1500 kcal
45-50% carbs
30-35% fat
20% protein
Group A received the carbs evenly split throughout the meals and snacks. Group B received the great majority of the total carb allotment (~170 g) at dinner. There are no details concerning the exact macronutrient amounts provided at each meal but the full-text paper contains the menus of each respective group. I would estimate that approximately 100-120 g carbs were consumed at dinner in group B.
Results: Both groups lost weight and saw improvements on several health markers, but group B lost more weight (-11 kg vs -9 kg), body fat (-7% vs -5%), stayed fuller and more satiety, and improved their hormonal profile more than group A:
As predicted, the big carb-rich dinner was able to alter leptin and adiponectin in a way that might have favored greater fullness and a better hormonal profile:
But what I found most interesting, at least for those of us who want to maintain low body fat, was that the carb-rich dinner increased average leptin levels compared to the standard diet:
Perhaps this is why me, and many others with me, have found Leangains/intermittent fasting to be such an easy way of staying lean once you've reached your goals.
This study was solid, but for some reason there was no mention of how body fat percentage was measured. Similarly, calorie intake was not set individually and according to energy needs. However, given that everyone had the same job (police officer), it's fair to assume that physical activity did not vary much on an individual basis. Furthermore, sample size was very large (78 participants), which makes it unlikely that the results were confounded by these factors.
Summary
Dietary epidemiology commonly find associations between certain meal patterns and higher BMI / body fatness. However, this association can solely be attributed to lifestyle-related factors and eating behaviors; snacking in front of the TV in the evening, making poor food choices in general, and so forth. People who eat more in the evening simply eat more calories, which explains why they weigh more.
Calorie-controlled studies looking at the effects of distributing a fixed caloric load differently throughout the day are scarce; I have listed all of them above. These tell a much different story than the one found in dietary epidemiology. While short-term studies (15-18 days) do not find a statistically significant difference between early and late meal patterns, long-term studies (>12 weeks) show that late eating patterns produce superior results on fat loss, body composition and/or diet adherence. This might be explained by more favorable nutrient partitioning after meals due to hormonal modulation.
I understand that these facts might be hard to swallow for some people, given everything we've heard about late night eating being bad, fattening, and so forth. But then again, we hear a lot of strange things in the fitness and health community. Rarely do these old wives' tales mix with reality; think of all the myths about fasting, alcohol and meal frequency, for example.
That's all for tonight. I hope you've enjoyed the article and will rest easy knowing there's nothing bad about late night eating and big meals before bedtime.
The late night eating myth is mainly another consequence of mistaking correlation for causation in dietary epidemiology. There are plenty of observational studies that have found a positive association between calories consumed in the evening and a higher BMI in the general population.
This association is solely attributed to the fact that Average Joe's who like to eat more in the evening also consume more calories overall. In this study, it was deducted from food logs that late eaters consumed on average 248 calories more than the other group.
Similar relationships are commonly found in other observational studies on meal patterns. People who skip breakfast, skip meals and eat late at night are on average fatter and worse off than people who eat breakfast, regular meals and eat less in the evening. This has nothing to do with meal timing per se, but the lifestyle that goes in hand with "dysregulated" eating habits (as discussed in "Top Ten Fasting Myths Debunked").
Meal pattern with omission of breakfast or breakfast and lunch was related to a clustering of less healthy lifestyle factors and food choice leading to a poorer nutrient intake. (Ref.)
Late night eating is not only correlated to a higher calorie intake, but also less sleep time and more sedentary activities, i.e. watching TV and more time spent in front of the computer, which are additional confounders that can predispose people to weight gain.
Shift-Work and Circadian Rhythms
The imagined hazards of late night eating might also be the result of the scientific literature on shift-workers and metabolic health. Shift-workers are predisposed to a myriad of health disorders; obesity, poor mental health, cardiovascular disease, peptic ulcers and gastrointestinal problems (likely a result of chronic stress).
The negative effects of shift-work on health is mainly the result of a compromised diet, sleep deprivation, and stress - these tend to go hand. However, it's possible that feeding under conditions of a disrupted circadian rhythm and an irregular meal pattern is an independent factor in the predisposition towards poor health amongst shift-workers.
Humans can adapt to a wide variety of feeding regimens depending on the habitual meal pattern. This entrainment takes place on a cellular level and is regulated by ghrelin, a hormone that increases during meal times and prepare your metabolism to best handle a nutrient load. Similarly, the circadian rhythm - when you awake and go to sleep - is regulated by daylight and habitual sleep/wake-cycle, and adapts your metabolism accordingly.
Simply put, your body expects a certain routine every day, depending on habitual diet patterns and sleep/wake cycles, and adjusts its hormonal profile and metabolism accordingly. If this pattern is haphazardly and constantly shifted back and forth, and never allowed to adapt, as is the case with many shift-workers - it's very possible that it would be an independent factor in predisposing people to disease and health disorders. The hormonal profile of shift-workers tend to be less favorable than non-shift workers, for example.
It should be noted that permanent shift-workers, i.e. those who always work nights, or work nights on consecutive days, are better off than other shift workers, which is partly be explained by re-entraining the circadian rhythm; it seems that an "unpredictable" pattern, i.e. rotating day and night-shifts is the main culprit, as the circadian rhythm is constantly desynchronized. However, given the many confounders present amongst shift-workers, i.e. stress, sleep loss, calorie intake, it's hard to isolate which factor does what, i.e. is feeding during biological night worse than sleep deprivation, etc.
Dietary Epidemiology vs Controlled Studies
The aforementioned studies are of no interest to us. We are interested in controlled studies, not dietary epidemiology and observations in the general population. If you use dietary epidemiology to tell people how they should be eating you get this: The USDA Dinner Plate. When you use controlled studies to draw a conclusion, you get something that looks a little bit more like this. Throw some veggies in there and you're all set.
Controlled studies answers questions like "I'm on a 2000 calorie diet. How will fat loss be impacted if I eat most of those calories in the later part of the day versus the earlier part of the day?" That's what interesting to us, so let's look into this now.
Early Meal Patterns vs Late Meal Patterns: Controlled Studies
In all of these studies, calories were controlled and fixed for all groups. The only variable that differed was the temporal daily distribution of calorie intake. In late meal patterns, 67-100% of total daily caloric intake was eaten between 6 PM and bed time, and this was compared against an early meal pattern with an opposite pattern.
Starting with the earliest study and working myself down to the latest study, I'll briefly summarize the results, comment on the validity of the study, and interject whatever else of interest I find in each study.
Note that I will not include studies on Ramadan fasting. In loosely controlled studies on Ramadan fasting, fat loss and improvements in health markers is commonly found. This is a paradoxical and interesting finding, simply for the fact that people eat in the middle of the night, shortly before bedtime, along with a concomitant increase in intake of sugary treats and baked goods (and sometimes total calorie intake). However, these are rarely calorie-controlled studies, i.e. participants do not have strict guidelines about what they should eat, which is why I will not include them in this review.
Study #1
Results: In the very first calorie-controlled study on meal timing from 1987, it was found that weight loss did not differ when participants ate their daily calorie intake in the morning (10 AM) or evening (6 PM).
While it's interesting to note that lipid oxidation (fat burning) was consistently higher in the PM-group, the duration of the study (15 days) was very short, which makes it hard to draw any meaningful conclusion from it. Aside from lipid oxidation, there were no differences in cortisol levels, blood pressure or resting energy expenditure between the groups.
While it's interesting to note that lipid oxidation (fat burning) was consistently higher in the PM-group, the duration of the study (15 days) was very short, which makes it hard to draw any meaningful conclusion from it. Aside from lipid oxidation, there were no differences in cortisol levels, blood pressure or resting energy expenditure between the groups.
Results: In this well-designed 12-week study, participants were habitual breakfast eaters and non-breakfast eaters, who were assigned a breakfast or non-breakfast diet. Interestingly, fat loss was greatest among ex-breakfast eaters who followed the breakfast skipping diet. This group ate lunch and supper and consumed 2/3 of their daily calorie intake at supper (6 PM or later).
In contrast, baseline breakfast skippers who were put on a breakfast diet got more favorable results than those who continued the breakfast skipping pattern. The implication of these seemingly paradoxical findings might be related to impulse-control; dysregulated eating habits, such as breakfast skipping, tend to go hand in hand with uninhibited and impulsive eating. Eating breakfast might therefore be of benefit for those with poor self-control, such as the ex-breakfast skippers in this study.
On the other hand, more favorable results were had with breakfast skipping amongst the "controlled" eaters (habitual breakfast eaters). This group would be more representative of us, meaning people who are used to count calories, follow an organized diet and not just mindlessly eat whatever is in front of us.
There were no differences between groups in regards to the weight loss composition (75% fat / 25% lean mass) or resting metabolic rate.
Interesting tidbit: The breakfast eating groups showed a slight increase in depression-induced eating whereas the subjects in the no-breakfast group showed a slight decrease. Furthermore, subjects in the breakfast group saw the diet as more restrictive than the no-breakfast group. Quote:
...the larger meal size of the no-breakfast group caused less disruption of the meal patterns and social life than did the smaller meal sizes in the breakfast condition.
Perhaps it was these favorable effects on their social life that also resulted in the no-breakfast groups showing superior compliance rates at the follow-up 6 months later (81% vs 60%).
Results: In this study participants alternated between two 6-week phases of the same diet of which 70% of the daily caloric intake was eaten in the morning or evening respectively. Larger morning meals caused greater weight loss compared to evening meals, but the extra weight lost was in the form of muscle mass. Overall, the larger evening meals preserved muscle mass better and resulted in a greater loss in body fat percentage.
The greater weight loss associated with the AM [morning] pattern that we found in our study was due primarily to loss of fat-free mass, which averaged about 1 kg more for the AM pattern than for the PM pattern.
An interesting study with a few glaring limitations, mainly the small sample size (10 participants) and the way body composition was measured (total body electrical conductivity, which is somewhat similar to BIA discussed in "Intermittent Fasting for Weight Loss Preserves Muscle Mass?").
This study also included weight training 3x/week, which was a serious confounder in this specific study design. Given that the PM-group consumed a greater percentage of their calorie intake post-workout, this study might simply show the benefits of nutrient timing, and not bigger PM meals per se.
AM-Setup:
Breakfast, 8-8.30 AM: 35% of total daily calorie intake
Weight training (circuit style), 9-9.30 AM
Lunch, 11-12 PM: 35%
Dinner, 4.30-5 PM: 15%
Evening snack, 8-8.30 PM: 15%
PM-Setup:
Breakfast, 8-8.30 AM: 15% of total daily calorie intake
Weight training (circuit style), 9-9.30 AM
Lunch, 11-12 PM: 15%
Dinner, 4.30-5 PM: 35%
Evening snack, 8-8.30 PM: 35%
My client Gary here demonstrates the fattening effects of post-6 PM carbs. Gary followed the Leangains one pre-workout meal protocol and ate more than 75% of his daily calorie intake and >200 g carbs after 6 PM.
Finally, the researchers speculate on the muscle sparing effects of the PM-pattern:
Certain endocrine influences might have contributed to the difference in fat-free mass change between the meal patterns. Growth hormone secretion displays an endogenous rhythm that is partially linked with the sleep cycle. At night pulsatile secretion increases after 1-2 hours of sleep, with maximal secretion occurring during stages 3 and 4 of sleep.
Although the effect of prolonged changes in dietary intake or meal patterns on growth hormone release are not known, it is conceivable that a greater flux of dietary amino acids with the large evening meals, coupled with the known protein anabolic effect of growth hormone, might combine to favor deposition of lean tissue.
Study #4
Results: Using almost the exact same setup as the aforementioned study by Sensi & Capani (1987), it was found that splitting the daily calorie intake evenly into five meals consumed every other hour between 9 AM-8 PM, eating all calories in the morning (9-11 AM), or in the evening (6-8 PM) did not affect weight loss, metabolic rate or cortisol differently. The limitations here are once again a very short study duration for each phase (18 days). Quote for those worrying about cortisol and fasting:
At the end of the stages studied, we found no significant changes in the circadian rhythm of cortisol secretion regardless of the timing of diet ingestion, even after 22 h of fasting.
It might be worth noting that nitrogen loss, which is a rough marker for muscle loss, was not affected by eating time or meal frequency; there was no difference between the 5-meal phase or the 22-hour fasting phases with one AM/PM-meal.
Study #5
In this latest and well-designed 6-month study on calorie distribution throughout the day, participants who ate most of their daily carb-intake at dinner (8 PM or later) lost more fat, experienced greater fullness throughout the diet, and saw more favorable hormonal changes than those who ate their carbs earlier in the day.
Background: This study was founded on the premise that the diurnal peak in leptin can be altered, as noted during the month of Ramadan. (I've covered leptin and intermittent fasting here: "Intermittent Fasting, Set-Point and Leptin.")
Simply put, the goal of this study was to see whether it was possible to shift leptin secretion to strategically induce greater satiety and diet adherence during the morning and noon of the next day, instead of having leptin peak during night time (as it does on a standard diet).
Background: This study was founded on the premise that the diurnal peak in leptin can be altered, as noted during the month of Ramadan. (I've covered leptin and intermittent fasting here: "Intermittent Fasting, Set-Point and Leptin.")
Previous studies have described a typical diurnal pattern of leptin secretion that falls during the day from 0800 to 1600 hours, reaching a nadir at 1300 hours and increases from 1600 with a zenith at 0100 hours. Ironically, this crucial hormone responsible for satiety is at its highest levels when individuals are sleeping.
It was hypothesized that consumption of carbohydrates mostly in the evening would modify the typical diurnal pattern of leptin secretion as observed in Muslim populations during Ramadan.
Simply put, the goal of this study was to see whether it was possible to shift leptin secretion to strategically induce greater satiety and diet adherence during the morning and noon of the next day, instead of having leptin peak during night time (as it does on a standard diet).
...it was predicted that the diet would lead to higher relative concentrations of leptin starting 6–8 h later i.e., in the morning and throughout the day. This may lead to enhanced satiety during daylight hours and improve dietary adherence.
Note that leptin displays significant latency in response to carbs; if you eat carbs before you go to sleep, you won't be experiencing the peak until you wake up in the morning (an added bonus is that you sleep good with some carbs pre-bedtime).
This study also sought to examine the effect of the experimental diet on adiponectin.
Adiponectin is considered to be “the link between obesity, insulin resistance, and the metabolic syndrome”. Adiponectin plays a role in energy regulation as well as in lipid and carbohydrate metabolism, reducing serum glucose and lipids, improving insulin sensitivity and having an anti-inflammatory effect. Adiponectin’s diurnal secretion pattern has been described in obese individuals (particularly with abdominal obesity), as low throughout the day.
* Low adiponectin = bad. High adiponectin = good.
* When insulin is low, adiponectin is high, but adiponectin also follows a diurnal pattern; low during night time, high during daytime (in normal weight individuals).
...it was also hypothesized that adiponectin concentrations would increase throughout the day improving insulin resistance, diminishing symptoms of the metabolic syndrome and lowering inflammatory markers.
* In the obese, chronically high insulin causing chronically low adiponectin is a problem as it increases insulin resistance and inflammation. By omitting carbs during the earlier part of the day, the researcher's hypothized that this would increase adiponectin and improve health markers more than the conventional diet.
Setup: Both groups received the same diet divided into breakfast, lunch, dinner and as three "snacks" (morning, afternoon, night):
1300-1500 kcal
45-50% carbs
30-35% fat
20% protein
Group A received the carbs evenly split throughout the meals and snacks. Group B received the great majority of the total carb allotment (~170 g) at dinner. There are no details concerning the exact macronutrient amounts provided at each meal but the full-text paper contains the menus of each respective group. I would estimate that approximately 100-120 g carbs were consumed at dinner in group B.
Results: Both groups lost weight and saw improvements on several health markers, but group B lost more weight (-11 kg vs -9 kg), body fat (-7% vs -5%), stayed fuller and more satiety, and improved their hormonal profile more than group A:
Hunger scores were lower and greater improvements in fasting glucose, average daily insulin concentrations, and homeostasis model assessment for insulin resistance (HOMAIR), T-cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6) levels were observed in comparison to controls.
As predicted, the big carb-rich dinner was able to alter leptin and adiponectin in a way that might have favored greater fullness and a better hormonal profile:
The experimental diet modified daily leptin and adiponectin concentrations compared to those observed at baseline and to a control diet. A simple dietary manipulation of carbohydrate distribution appears to have additional benefits when compared to a conventional weight loss diet in individuals suffering from obesity.
But what I found most interesting, at least for those of us who want to maintain low body fat, was that the carb-rich dinner increased average leptin levels compared to the standard diet:
Our experimental diet might manipulate daily leptin secretion, leading to higher relative concentrations throughout the day. We propose that this modification of hormone secretion helped participants experience greater satiety during waking hours, enhance diet maintenance over time and have better anthropometric outcomes.
Perhaps this is why me, and many others with me, have found Leangains/intermittent fasting to be such an easy way of staying lean once you've reached your goals.
This study was solid, but for some reason there was no mention of how body fat percentage was measured. Similarly, calorie intake was not set individually and according to energy needs. However, given that everyone had the same job (police officer), it's fair to assume that physical activity did not vary much on an individual basis. Furthermore, sample size was very large (78 participants), which makes it unlikely that the results were confounded by these factors.
Summary
Dietary epidemiology commonly find associations between certain meal patterns and higher BMI / body fatness. However, this association can solely be attributed to lifestyle-related factors and eating behaviors; snacking in front of the TV in the evening, making poor food choices in general, and so forth. People who eat more in the evening simply eat more calories, which explains why they weigh more.
I understand that these facts might be hard to swallow for some people, given everything we've heard about late night eating being bad, fattening, and so forth. But then again, we hear a lot of strange things in the fitness and health community. Rarely do these old wives' tales mix with reality; think of all the myths about fasting, alcohol and meal frequency, for example.
That's all for tonight. I hope you've enjoyed the article and will rest easy knowing there's nothing bad about late night eating and big meals before bedtime.
Saturday, May 28, 2011
The Definition of Lean Gains Part Two
3:31 PM | Posted by
Unknown |
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Time for another Leangains success story.
Success stories are emailed to me from people all across the globe and everyone has been using the simple but effective intermittent fasting guidelines I've outlined in "The Leangains Guide."
This success story is from Spencer. Just like Tanner's success story, it is an excellent example of muscle gain without the chunk.
The Definition of Lean Gains Part Two: Spencer
"After spending two years in a relationship, I had let myself get rather chunky. As a fresh single man, I decided it was time to get back into shape. I started lifting again and focused on some cardio. After a couple months I had lost around 15-18lbs, and the result of that quick cut is this first 'before' picture."
Spencer at 183 lbs and 8-9% body fat (my estimate).
"I was happy with my results, but knew I had to pack on some muscle since I was looking kind of small. Right around the exact time that this "before" picture was taken, I had somehow stumbled upon LeanGains.com. What a coincidence this was because I was in need of finding a way to put muscle on while gaining the least amount of fat possible (I didn’t want to throw away the hard work I had just put in to lose that fat). All I can say is, damn, I am glad I had found this."
"After briefly reading a post on the site, I knew that Martin was someone that’ll provide much value to the fitness community. Everything I had read was backed by science, and it was as straightforward as it could be. I’m an open-minded person so I love to try new things. I continued to read the blog for a couple more hours until I had enough knowledge and understanding to create a schedule for myself that would follow the Leangains method."
Spencer seven months later at 195 lbs and 7-8% body fat.
"I basically followed the guide, and kept it as simple as possible. In my opinion, simplicity is the key to this method. If you over think and over-analyze every little detail, you are just going to frustrate yourself. Follow the damn guide and keep it at that. Martin has outlined pretty much every detail you need to know in order for this to work."
"Well, after following this new lifestyle I had adopted, it has proved itself over and over that it really is an effective way of dieting. My strength has risen higher than it has ever been, my body fat percentage is lower than it’s ever been, and I feel better than I’ve ever felt. This is something that just becomes a part of you; I could never see myself not doing this."
"I still have a long ways to go, but with the knowledge and information Martin shares with us, I am pretty damn confident that I’ll achieve all my fitness goals. Thank you, Martin for the time and effort that you’ve dedicated to this community. It really is life changing if you believe in it."
- Spencer
Stats
Before stats, July '10. First picture. 6'1" 183lbs. Estimated 1RM:
Bench: 214 lbs
Pull-Ups: body weight x 8
Deadlifts: 253 lbs
Squats: 229 lbs
After stats, Jan '11. Second and third picture. 195 lbs. Estimated 1RM:
Bench: 320 lbs (+106 lbs)
Pull-ups: body weight x 25 (+17 reps) (I do weighted pull/chin-ups now, though)
Deadlifts: 375 lbs (+122 lbs)
Squats: 379 lbs (+150 lbs)
Comments
From my perspective it looks like Spencer lowered his body fat in the process, but it's also possible that it's unchanged from the first picture. He seems to have more of a tan here and the lighting in the first picture smoothes him out a bit. In either case, a lean weight gain of 12 lbs in seven months is very impressive.
It should be noted that some part of his muscle can be attributed to muscle memory. Spencer says that he was training regularly between 2006 and 2008, but adds that...
"Some of my gains are definitely from muscle memory, but I have exceeded my strength from 2008 by a substantial amount. I am feeling and looking better than I ever have, and it only took me about 8 months instead of 2 years. My knowledge with Leangains/IF, and some other stuff I have learned throughout this time has given me much more focus on the goals I want to achieve with bodybuilding."
Quote from Spencer's thread at bodybuilding.com.
12 lbs of Lean Mass?
It's important to note that the raw weight difference between before-and-after-pictures rarely reflect true lean muscle gain. It's not uncommon to see non-functional weight gain of about ~1% when going from dieting to maintenance, and another 1% on top of that from maintenance to a slightly hypercaloric diet. I see this quite often with my clients.
The implication of this being that a 185 lbs guy might find himself gaining 4-5 lbs within the first weeks of a muscle gaining phase, most of which is solely the result of increased muscle glycogen stores, body hydration, and more stomach content. The gain can be more or less dramatic depending on the carb content of your diet during the fat loss phase versus the maintenance and muscle gain phase.
Just a little something to think about and to put things in perspective. And perhaps something to prevent you from freaking out when you find yourself gaining more weight faster than what is reasonable when you transition from fat loss to maintenance and/or bulking.
Qualitative Weight Gain
A key lesson people should take away from Spencer's success story is the rate of his weight gain. It works out to less than 0.5 lbs per week, which is quite far from the often recommended 1 lb per week during bulking.
In my experience, aiming for about 2 lbs per month is much more reasonable for most people with some training experience (i.e. an intermediate trainer). For advanced trainers, i.e. those close to their theoretical maximum muscular potential, 1 lb per month is a good rate if maintaining low body fat is high on the priority list.
12 lbs of Lean Mass?
It's important to note that the raw weight difference between before-and-after-pictures rarely reflect true lean muscle gain. It's not uncommon to see non-functional weight gain of about ~1% when going from dieting to maintenance, and another 1% on top of that from maintenance to a slightly hypercaloric diet. I see this quite often with my clients.
The implication of this being that a 185 lbs guy might find himself gaining 4-5 lbs within the first weeks of a muscle gaining phase, most of which is solely the result of increased muscle glycogen stores, body hydration, and more stomach content. The gain can be more or less dramatic depending on the carb content of your diet during the fat loss phase versus the maintenance and muscle gain phase.
Just a little something to think about and to put things in perspective. And perhaps something to prevent you from freaking out when you find yourself gaining more weight faster than what is reasonable when you transition from fat loss to maintenance and/or bulking.
Qualitative Weight Gain
A key lesson people should take away from Spencer's success story is the rate of his weight gain. It works out to less than 0.5 lbs per week, which is quite far from the often recommended 1 lb per week during bulking.
In my experience, aiming for about 2 lbs per month is much more reasonable for most people with some training experience (i.e. an intermediate trainer). For advanced trainers, i.e. those close to their theoretical maximum muscular potential, 1 lb per month is a good rate if maintaining low body fat is high on the priority list.
Stay on the look out for more success stories. I have a whole pile of them stacked up. And yes, I will switch it up a bit; instead of ripped young guys, I'll feature a female and a Type 1 Diabetic up next.
If you've had success with the Leangains approach to intermittent fasting, and would like to share your results with my readers, feel free to send me your success story. Your results have the potential to inspire and motivate others.
P.S. There was an issue with subscriptions a while back. In short, subscribers did not get notified when I updated the site. It's fixed now though, so feel free to subscribe if you would like new content sent to your email or RSS reader the second it's out.
P.S. There was an issue with subscriptions a while back. In short, subscribers did not get notified when I updated the site. It's fixed now though, so feel free to subscribe if you would like new content sent to your email or RSS reader the second it's out.
Sunday, May 15, 2011
Omega-3 Fatty Acids for Muscle Growth: Promising Potential
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Can omega-3 fatty acids boost muscle growth? Well, let's just say that I'm very excited to report about the results from two new studies that sought to answer that question. The results? I will tell you all about in this article.
I don't have time to keep up with the going-on's in the forums, and I don't know if the weight training community has taken note of these studies yet. I hope they will, because these findings are - by far - the most interesting thing I have come across in a long time.
(This article is somewhat long and I wrote the n-3 health and fat loss review since I thought I'd give myself a refresher course on the topic. I don't talk about the new studies mentioned in the introduction until the latter 2/3 of this review. If you don't give a damn about the effects of n-3 intake on health and fat loss, feel free to skip the first part of the article and go to "Omega-3 Fatty Acids and Leucine Resistance.").
Since most people's eyes glaze over when someone starts talking cell biology, imagine your cell as an avocado. Picture the avocado with myriads of pins buried in it.
This is your cell. The pins are membrane proteins, some of which are nutrient transporters for glucose, amino acids, and so forth. The dark skin and the edible green flesh is the plasma membrane, which consists of two thin layers made of fatty acids. N-3 supplementation has the potential of altering this part of the cell. Generally speaking, plasma membranes with a higher % EPA and DHA enrichment are healthier; they have the potential of modulating signals in between the white pins/plasma proteins and the avocado core. The "avocado core" is the cell interior, which react in response to signals from the cell exterior.
Pins: are called integral membrane proteins."Integral membrane protein" is a catch-all term for proteins that shuttle nutrients or signals to the cell itself, or the avocado core if you will. Included in these are glucose transporter type 4 (GLUT4) and amino acid transporters, for example. Pretend these pins had the ability to move up and down through the skin and flesh of the avocado. The word for this is translocation, or protein targeting depending on how fancy you want to get.
Skin and edible part: this is the cell membrane, also called the lipid bilayer, or the phospolipid bilayer. A large part of these layers consists of fatty acids and their structure is highly dependent on the fat composition of your diet. This is where n-3 fatty acids exert their effect; by their incorporation into lipid bilayers, n-3 acids can modulate signals between the pins to the cell itself. In particular, it is the omega-3 series members docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) that facilitates these processes. When I talk about "n-3 supplementation/intake", it is often in specific reference to EPA and DHA, and not ALA.
Avocado core: cell interior, where transcription (i.e. muscle protein synthesis) takes place based on feedback from the cell exterior and pins.
Obviously, this is a vastly simplified version of the cell, but I've found the avocado analogy somewhat helpful in dumbing down the cell and its workings.
Obviously, this is a vastly simplified version of the cell, but I've found the avocado analogy somewhat helpful in dumbing down the cell and its workings.
The fact that n-3 is incorporated into the plasma membrane of all your cells - be it brain cells, muscle cells, and so forth - explains how these fatty acid can have so diverse effects on human physiology and health. Let's take a look at what they do.
Omega-3 Fatty Acids: Effects on Health
Controlled studies have clearly established the positive influence of n-3 intake on cardiovascular health. The role of n-3 as a modulator of inflammation is also well recognized and the fact that omega-3 fats down-regulate genes involved in chronic inflammation makes it likely that n-3 intake can reduce the risk of atherosclerosis.
Omega-3 Fatty Acids: Effects on Body Composition
Freedom from disease and a sharper mind is all good and well, but what what about biomakers related to body composition? Results from studies on n-3 intake and insulin sensitivity are mixed. In summary, people with poor insulin sensitivity (obese) usually see an improvement with n-3, while lean subjects see no or only modest improvements. Keep in mind that "lean" in a clinical context is 15-20% body fat for males and around 25% body fat for females.
In combination with exercise, n-3 has been shown to accelerate fat loss in a few studies, but once again the effect is limited to obese subjects.
In conclusion, there simply aren't any good trials on n-3 supplementation and their role in fat loss yet. Oh sure, there are studies looking at fish intake and so forth, but I'm talking controlled interventions without a bunch of variables (fish protein, outpatient trials with poor control, etc.).
Omega-3 Fatty Acids: What We Know So Far
Furthermore, research is also highly suggestive of a positive effect of n-3 on brain function and several disease processes, ranging from cancer to the metabolic syndrome. Keep in mind that it's impossible to provide hard data on these aspects of human health. You can't put people in a lab, give some of them some fish oil pills, and look at who got Alzheimer's or cancer 8 weeks later.
Instead you look at things like fish consumption in thousands of individuals, sometimes over several years, and compare the disease trends relative to fish or seafood consumption. When you do this, you often see positive associations between n-3 saturation of the phospholipid membranes and greater health.
This positive association seems independent of other factors that affect health; meaning that, in an imaginary scenario where we compare two people with the exact same stats, such as body fat percentage and lifestyle habits, with the exception of n-3 intake or fish intake, the person with a higher n-3 intake will be healthier.
A striking example of this, is the fact that fat Eskimos have significantly lower rates of Diabetes Type 2 compared to equally fat Americans (3.3% vs 7.7%). Not a completely valid comparison, due to the inherent problems of dietary epidemiology, but it illustrates the point I'm trying to make, as these health trends are seen across the board in many different populations.
It's safe to say that n-3 is good for us. The Western diet contains too little omega-3 relative to omega-6 fats for optimal health, and our low n-3 intake might certainly be an independent factor influencing the disease trend amongst Westerners compared to other populations with high n-3 intake (e.g. Eskimos, etc.).
Omega-3 Fatty Acids: What We Know So Far
In summary of a vast area of research on n-3 and health, the scientific evidence is indisputable for a positive effect on cardiovascular health and chronic inflammation. These are things you can measure and track, and find a clinically significant effect on within 12 weeks; i.e. improved blood lipids and lower TNF-a (tumor necrosis factor-alpha, an inflammatory marker).
Instead you look at things like fish consumption in thousands of individuals, sometimes over several years, and compare the disease trends relative to fish or seafood consumption. When you do this, you often see positive associations between n-3 saturation of the phospholipid membranes and greater health.
A striking example of this, is the fact that fat Eskimos have significantly lower rates of Diabetes Type 2 compared to equally fat Americans (3.3% vs 7.7%). Not a completely valid comparison, due to the inherent problems of dietary epidemiology, but it illustrates the point I'm trying to make, as these health trends are seen across the board in many different populations.
It's safe to say that n-3 is good for us. The Western diet contains too little omega-3 relative to omega-6 fats for optimal health, and our low n-3 intake might certainly be an independent factor influencing the disease trend amongst Westerners compared to other populations with high n-3 intake (e.g. Eskimos, etc.).
Now finally, what about those new studies on n-3 and muscle protein synthesis?
Omega-3 Fatty Acids and Leucine Resistance
A few months ago, "Dietary omega-3 fatty acid supplementation increases the rate of muscle protein synthesis in older adults: a randomized controlled trial" caught my eye on PubMed.
A few months ago, "Dietary omega-3 fatty acid supplementation increases the rate of muscle protein synthesis in older adults: a randomized controlled trial" caught my eye on PubMed.
I saw that Michael Rennie, a hot shot in protein research, was among the authors so I very was excited to read it. The results were very interesting.
As we age, we encounter a phenomenon called "anabolic resistance". This is a catch-all term for an overall crappier response to weight training and dietary protein.
A fancier sounding word for anabolic resistance is "sarcopenia". But this is just a made-up word that researchers use to get funding for studies. Sarcopenia sounds better than anabolic resistance, I guess.
In terms of dietary protein, "leucine resistance" describes the phenomenon in regards to how the response to feeding is altered. The amino acid leucine is the primary amino acid responsible for triggering muscle protein synthesis. Elderly folks need higher concentrations of leucine to get the same response as young folks. Various feeding strategies that overcomes this problem include:
1. "Protein pulse feeding", which means eating infrequent meals higher in protein and leucine (in contrast to frequent meals). There is a threshold level of leucine needed to consume in each sitting to maximize muscle protein synthesis and this threshold is raised with aging. Larger meals cause leucine to hit that threshold, which triggers muscle protein synthesis. Leucine resistance is similar to insulin resistance in the sense that more leucine and insulin is required to trigger the same response.
2. Supplementing with whey protein or amino acids (EAA, BCAA or leucine). There are many practical advantages of this strategy, i.e. the hassle-free process of drinking whey protein or taking free-form amino acids.
3. Simply eating enough high-quality protein in each meal. This might seem like a no-brainer for us, but with aging comes a loss of appetite. When was the last time you saw a 70-year chew down a big steak? Achieving a high leucine concentration in the blood is mainly about eating enough protein. In the case of elderly folks, faster protein sources - such as well-chewed meat or whey protein - is preferable. This is first and foremost due to absorption kinetics; i.e. leucine concentrations will rise fast and the threshold will be easily reached with 20-30 g protein.
So that's that. As a side-note, I detest faux diet gurus who cite studies on protein supplements for the elderly to sell leucine supplements. It makes zero sense for a young guy on a high-protein diet.
(Context is crucial. The supplement industry flourishes because no one cares to read or question their claims. Here's some advice: take a second or two to actually read and reflect on studies that are cited in order to validate a claim ("Leucine increases muscle protein synthesis by 537%!"). If it sounds too good to be true, it is too good to be true.)
(Context is crucial. The supplement industry flourishes because no one cares to read or question their claims. Here's some advice: take a second or two to actually read and reflect on studies that are cited in order to validate a claim ("Leucine increases muscle protein synthesis by 537%!"). If it sounds too good to be true, it is too good to be true.)
Anyway, so this one study I mentioned earlier showed that 8 weeks of n-3 supplementation lead to a significant increase in muscle protein synthesis in response to feeding. The same experiment was repeated with younger subjects and the results were released a few weeks ago.
Below, I'll do a detailed review of the newly released second study and talk a about the results.
Omega-3 Fatty Acids and Muscle Protein Synthesis
Here's the study I'm going to talk about now:
Here's the study I'm going to talk about now:
Introduction
...we have recently demonstrated that LCn-3PUFA supplementation (4 g·d-1 of Lovaza®) in older adults (≥65 y) significantly increased the rate of muscle protein synthesis during hyperinsulinemia-hyperaminoacidemia, most likely because of greater activation of the mTOR-p70s6k signalling pathway
This is in reference to the first study on a group of elderly subjects that I mentioned earlier. There have also been other studies, prior to that one, which suggested that n-3 supplementation spared muscle mass when added to a tube feeding formula during cancer treatment.
...feed enriched in menhaden oil, a fish oil rich in EPA and DHA, doubled the insulinstimulated
non-oxidative whole-body disposal of amino acids (a marker of increased whole-body
protein synthesis) and increased the activation of the mTOR-p70s6k signalling pathway in
muscle of young and still growing steers...
Furthermore, animal studies have also hinted at an anabolic effect of n-3 enriched feedings. Based on the aforementioned studies, the researchers speculate that the mechanism by which n-3 can increase muscle growth is via activation of the mTOR-p70s6k signalling pathway in response to feeding. The exact mechanism is unknown.
The mTOR-p70s6k signalling pathway is commonly used as a marker for muscle anabolism and protein synthesis, and by measuring the phospholyration rate (activity) of p70s6k, you can get an idea of the anabolic rate in the muscle.
For example, in the study I reviewed in "Fasted Training Boosts Muscle Growth", they found that p70s6k increased more after fasted training. Though they did not measure muscle protein synthesis, it is reasonable to assume that MPS increased in concert with p70s6k. (Keep in mind that this does not necessarily mean that fasted training is superior to fed-state training. Measurements were made during a fairly narrow time-period. Read the article for my thoughts on the topic).
The purpose of the present study therefore was to determine the effect of LCn-3PUFA supplementation for 8 weeks on indices of muscle protein anabolism in human muscle in young/middle aged adults.
Examining the activity of the mTOR-p70s6k signalling pathway and muscle protein synthesis (MPS) in response to n-3 supplementation was the purpose of this study.
Method
Nine healthy individuals (5 men and 4 women; age: 39.7 ± 1.7 y; BMI 25.9 ± 1.0 kg/m2; body fat determined by dual X-ray absorptiometry: 25 ± 3 %; means ± SEM) participated in this study.
After obtaining baseline values for anabolic signalling pathways (mTOR-p70s6k) and muscle protein synthesis, the participants were given 4 g n-3/day for 8 weeks.
8 weeks of dietary supplementation with 4 g·d-1 of Lovaza® (GlaxoSmithKline, Research Triangle Park, North Carolina, USA) containing 1.86 and 1.50 g·d-1, respectively of the ethylesters of eicosapentaenoic acid [EPA; 20:5n-3] and docosahexaenoic acid [DHA; 22:6n-3]).
It should be noted that the addition of 4 g n-3/day was the only intervention made in this study. Participants were instructed to not change their usual diet and activity pattern for these 8 weeks.
Important: Note that the n-3 dose totalled 1.86 g EPA and 1.5 g DHA, which is a lot higher than what you will get from your average fish oil supplement.
Looking at the n-3 supplement I'm using, the 3 g/day I've been taking only gives me a total of 0.54 g EPA and 0.36 g DHA (and 0.15 g ALA). That's really bad. Take a look at yours. A good n-3 brand should contain no more than 50% filler, but this one I'm taking is 65% filler ( in stark contrast to Lovaza, pharma-grade n-3, with only 15% filler). I haven't noticed this until now and will be more stringent with my n-3 intake. More information on good n-3 supplements at the end of the article. Let's carry on with the study review now.
Infusion Protocol
First, a brief description of the procedure on the day when the results were obtained. I'd normally skip this tedious section in my study reviews, but there are some crucial details here that will become important later on in the article.
All participants ate a standardized meal at 8 PM on the day prior. A 6-8 AM the following morning, they arrived at the laboratory, where they were infused with tracers for four hours.
Without going into technical detail, tracer infusion is a technique for tracking the passage of nutrients, i.e. amino acids and glucose, through the body. This is always done prior to infusion of amino acids; e.g. you can see how much of the amino acids that ended up in muscle if you infuse tracers, followed by amino acids, and lastly take a muscle biopsy (and that's exactly what they did here).
After fours hours of tracer infusion, participants were then infused with a mixture of amino acids and insulin for three hours. The amino acid dose was determined to 105 mg/kg lean mass, which with these participants in mind amounts to ~5-6 g amino acids/hour.
A one-time "priming dose" of 35 mg/kg lean mass, or ~2 g amino acids, was given prior to the 3-hour infusion; this is often done in order to stabilize blood concentrations prior to steady-state infusions of this kind.
Important: Adding the aforementioned numbers together, 17-20 g amino acids were infused over a 3-hour period. This might seem like a fairly trivial amount, but the the amino acid mixture, Travasol 10%, was of a very high quality. 20 g of it yields 1.4 g leucine, 3.8 g BCAA (leucine, isoleucine, valine) or 13 g EAA (BCAA + 5 essential amino acids). I'll discuss the implications of this later on.
During the infusion protocol, blood samples were taken with regular intervals. Three muscle tissue samples were obtained, one prior to the amino acid infusion, and two towards the end. Based on these values, the researchers were able to obtain relevant data points for comparison against the ones obtained 8 weeks prior (the same procedure was performed before the n-3 intervention).
I just treated myself to an n-3-intervention. I don't eat a lot of fish, but when I do it's usually salmon with cottage cheese. I find that the salty salmon fits nicely with the cool creamy cottage cheese. Perhaps you would like it too.
Results
After these 8 weeks of 4 g n-3/day, EPA and DHA enrichment of the cell membranes had increased dramatically. This confirmed that compliance was good and that the n-3 supplementation was effective. For those interested in some raw numbers:
These results are not all that surprising. Recall what I said earlier about n-3 supplementation and metabolic status. Overweight and obese people often see meaningful improvements in these markers with n-3 supplementation, but in these normal weight subjects, n-3 supplementation did not do much in terms of reducing inflammation or altering glucose tolerance.
Glucose rate of disappearance, which shows glucose tolerance but can also be seen as a rough marker for insulin sensitivity, was unchanged. Then again, 8 weeks might also have been too short of a time to see any significant improvements in this area.
Basal muscle protein FSR (fractional protein synthesis rate) denotes muscle protein synthesis (MPS) in the fasted state. I will use MPS instead of FSR to avoid confusion, and it's basically the same thing.
Why "fractional synthesis rate" you ask? Muscle protein is made out of three fractions; 2/3 myofibrillar protein and 1/3 sarcoplasmic and mithocondrial protein (around 15% of total muscle volume each).
Without derailing the topic too much, I'll note that an increase in MPS usually mean that synthesis in all these fractions increase equally in proportion to their volume. Weight training tends to increase synthesis of myofibrillar protein slightly more, relatively speaking, while endurance training increases mithocondrial protein synthesis specifically.
Anyway, MPS in the fasted state was unchanged, which is to be expected. Meaningful changes in MPS are always seen in response to feeding. For example, weight training boosts MPS in response to amino acids in the blood (via pre-workout and/or post-workout meals), but does not alter basal FSR, assuming concentrations of amino acids in the blood are not elevated.
Basal MPS is only altered in some disease states (the severe kind, burn injury, sepsis, etc.) and - of some modest interest - with anabolic steroids. Steroids exert their effect by boosting basal MPS much more than MPS in response to feeding, which I find somewhat interesting. It also appears that sleep deprivation has the potential of lowering basal MPS.
Once again, I find myself ranting like a mad man and going off-topic, so let's proceed with the study review now.
Important: Now this is the interesting part. In response to the amino acid infusion, MPS was dramatically increased after 8 weeks of n-3 supplementation. Some raw numbers below.
MPS before n-3 (FSR % / hr)
Basal: 0.037
Amino acids: 0.062 (+68%)
MPS after n-3 (FSR % / hr)
Basal: 0.042
Amino acids: 0.083 (+98%)
These numbers were estimated from a graph when they were not reported in the text. As you can see, the increase in MPS was ~50% greater post-n-3 supplementation (+ 68% vs +98%) in response to the 20-gram amino acid infusion. I'm pointing this out specifically to differentiate it from a +50% absolute increase (i.e. +118%), which it could easily be mistaken for from the quote.
A 98% absolute increase in MPS in response to such a modest amount of amino acids is unheard of. Let me give you some data points to provide some perspective on MPS in response to feeding and training:
Typical MPS increase in response to 20 g amino acids: +50-70%. See MPS values pre-n-3 supplementation. Bohe, et al., used a similar dose and saw an increase of +57%. Similar values (+51%) were obtained after consumption of ~20 g beef protein.
Maximal MPS noted after high-protein meals or amino acid intake: +88-100%. Bohe, et al., for example, saw an increase of 88% in response to ~50 g amino acids infused over 3 hours. Other studies, such as this one, showed a ~100% maximal increase in response to 10 g EAA (~25 g mixed amino acids).
Maximal MPS noted after weight training and high-protein meals or amino acid intake: +170-200%. These values denote the highest absolute increase in MPS seen within 36 hours following weight training. Some data points are available in this text for those interested.
Important: The key point here is that MPS increased much more in response to feeding after n-3 supplementation, and that this increase is on par with the maximal increase seen after intakes of much higher doses of amino acids. The 20 g amino acids gave a boost in MPS that was comparable with a boost that would normally only been seen after intakes of 25-50 g protein.
The activity (phospholyration rate) of anabolic signalling pathways increased similarly as MPS.
Very, very interesting. Now let's see what the researchers said about these results in the discussion that followed.
Discussion
I should note that the results from the prior study on older adults were even more impressive, relatively speaking. The increase in MPS in response to amino acids were ~120% greater after n-3 supplementation (vs ~50% greater for this sample.).
After these 8 weeks of 4 g n-3/day, EPA and DHA enrichment of the cell membranes had increased dramatically. This confirmed that compliance was good and that the n-3 supplementation was effective. For those interested in some raw numbers:
EPA: 0.66% vs 2.57%
DHA: 1.91% vs 4.05%
Values are expressed as percentage of the total fatty acid composition of the phospholid membrane. It's interesting to note that n-3's displaced n-6 and monounsaturated fatty acids (MUFA) in the membrane. These were significantly lower (~50% vs 46% and ~8% vs 6%) after 8 weeks. Saturated fatty acid composition remained stable at 36-38% (increase by ~2%, not statistically significant).
What did this result in? Let's start with some health markers:
As expected, the concentration of inflammatory markers in plasma was low in this healthy
cohort of subjects and there were no differences (all P ≥ 0.33) before and after LCn-3PUFA
supplementation in the plasma concentrations of CRP (0.61 [0.39, 1.03] vs. 0.73 [0.17, 1.23]
mg·l-1, respectively), TNF-α (0.30 ± 0.02 vs. 0.31 ± 0.02 pg·ml-1, respectively) and IL-6 (1.49 [1.05, 3.25] vs. 1.34 [0.98, 1.47] pg·ml-1, respectively).
LCn-3PUFA supplementation had no effect on whole-body glucose kinetics.
These results are not all that surprising. Recall what I said earlier about n-3 supplementation and metabolic status. Overweight and obese people often see meaningful improvements in these markers with n-3 supplementation, but in these normal weight subjects, n-3 supplementation did not do much in terms of reducing inflammation or altering glucose tolerance.
Glucose rate of disappearance, which shows glucose tolerance but can also be seen as a rough marker for insulin sensitivity, was unchanged. Then again, 8 weeks might also have been too short of a time to see any significant improvements in this area.
The basal muscle protein FSR (calculated by using the muscle free phenylalanine enrichment
as the precursor enrichment) was not different before and after LCn-3PUFA supplementation...
Basal muscle protein FSR (fractional protein synthesis rate) denotes muscle protein synthesis (MPS) in the fasted state. I will use MPS instead of FSR to avoid confusion, and it's basically the same thing.
Why "fractional synthesis rate" you ask? Muscle protein is made out of three fractions; 2/3 myofibrillar protein and 1/3 sarcoplasmic and mithocondrial protein (around 15% of total muscle volume each).
Without derailing the topic too much, I'll note that an increase in MPS usually mean that synthesis in all these fractions increase equally in proportion to their volume. Weight training tends to increase synthesis of myofibrillar protein slightly more, relatively speaking, while endurance training increases mithocondrial protein synthesis specifically.
Anyway, MPS in the fasted state was unchanged, which is to be expected. Meaningful changes in MPS are always seen in response to feeding. For example, weight training boosts MPS in response to amino acids in the blood (via pre-workout and/or post-workout meals), but does not alter basal FSR, assuming concentrations of amino acids in the blood are not elevated.
Basal MPS is only altered in some disease states (the severe kind, burn injury, sepsis, etc.) and - of some modest interest - with anabolic steroids. Steroids exert their effect by boosting basal MPS much more than MPS in response to feeding, which I find somewhat interesting. It also appears that sleep deprivation has the potential of lowering basal MPS.
Once again, I find myself ranting like a mad man and going off-topic, so let's proceed with the study review now.
Insulin and amino acid infusion led to a marked increase in the muscle protein FSR (P < 0.001) and the anabolic response (i.e., the increase from basal values) was ~50% greater after LCn-3PUFA supplementation (0.042 ± 0.005 %·h-1 vs. 0.027 ± 0.005 %·h-1; P = 0.01). Consequently, the muscle protein FSR during insulin and amino acid infusion was significantly greater (P < 0.01) after than before LCn-3PUFA supplementation.
Important: Now this is the interesting part. In response to the amino acid infusion, MPS was dramatically increased after 8 weeks of n-3 supplementation. Some raw numbers below.
MPS before n-3 (FSR % / hr)
Basal: 0.037
Amino acids: 0.062 (+68%)
MPS after n-3 (FSR % / hr)
Basal: 0.042
Amino acids: 0.083 (+98%)
These numbers were estimated from a graph when they were not reported in the text. As you can see, the increase in MPS was ~50% greater post-n-3 supplementation (+ 68% vs +98%) in response to the 20-gram amino acid infusion. I'm pointing this out specifically to differentiate it from a +50% absolute increase (i.e. +118%), which it could easily be mistaken for from the quote.
A 98% absolute increase in MPS in response to such a modest amount of amino acids is unheard of. Let me give you some data points to provide some perspective on MPS in response to feeding and training:
Typical MPS increase in response to 20 g amino acids: +50-70%. See MPS values pre-n-3 supplementation. Bohe, et al., used a similar dose and saw an increase of +57%. Similar values (+51%) were obtained after consumption of ~20 g beef protein.
Maximal MPS noted after high-protein meals or amino acid intake: +88-100%. Bohe, et al., for example, saw an increase of 88% in response to ~50 g amino acids infused over 3 hours. Other studies, such as this one, showed a ~100% maximal increase in response to 10 g EAA (~25 g mixed amino acids).
Maximal MPS noted after weight training and high-protein meals or amino acid intake: +170-200%. These values denote the highest absolute increase in MPS seen within 36 hours following weight training. Some data points are available in this text for those interested.
Important: The key point here is that MPS increased much more in response to feeding after n-3 supplementation, and that this increase is on par with the maximal increase seen after intakes of much higher doses of amino acids. The 20 g amino acids gave a boost in MPS that was comparable with a boost that would normally only been seen after intakes of 25-50 g protein.
...mTORSer2448 and p70s6kThr389 concentrations increased by ~50%
The activity (phospholyration rate) of anabolic signalling pathways increased similarly as MPS.
Very, very interesting. Now let's see what the researchers said about these results in the discussion that followed.
Discussion
These data compliment and extend the results we recently obtained in older adults and demonstrate that LCn-3PUFA supplementation not only alleviates the muscle protein anabolic resistance associated with old age but can actually boost the anabolic response to nutritional stimuli in healthy muscle from young and middle-aged adults.
I should note that the results from the prior study on older adults were even more impressive, relatively speaking. The increase in MPS in response to amino acids were ~120% greater after n-3 supplementation (vs ~50% greater for this sample.).
...the effect was probably mediated via one or more alternative pathway(s), which have yet to be determined (but may include e.g., Rheb or vps34).
Rheb is a cell membrane protein and vps34 can roughly be described as a nutrient sensor. Both of these are involved in activation of the anabolic cascade that follows amino acid sensing outside the cell.
Furthermore, weight training also activates these anabolic triggers, which has the effect of increasing MPS more than normally, i.e. the cell takes up more amino acids from the same amino acid dose if Rheb/vps34 expression is increased from weight training. The speculation above revolves around whether n-3 supplementation has the potential to alter Rheb/vps34 expression.
Considering the observed changes in skeletal muscle phospholipid composition, it is also possible that LCn-3PUFA supplementation modulated key substrates along the anabolic signalling cascades by affecting membrane lipid composition and/or fluidity.
Another potential mechanism, albeit very poorly and unprofessionally formulated in my opinion. Amino acids do not simply diffuse and move through the cell membrane; "fluidity" should not affect uptake of amino acids in that sense.
However, n-3 enrichment of the membrane has the potential of affecting nutrient transport via modulation of the integral plasma proteins. Go back and read about the avocado if you don't follow. Look at the white pins. Some of them are amino acid transporters.
I believe one potential mechanism for the increase in MPS post-n-3-supplementation is altered amino acid transporter expression. Amino acid transporters are in contact with the cell membrane, and can translocate to the membrane surface in response to amino acids in the blood plasma. It's possible that an n-3 enriched membrane sensitizes, increases, or somehow alters transporters such as System-L, which is primarily responsible for uptake of leucine.
(Interesting side-note: paradoxically, transporters also increase during amino acid deprivation; i.e. starvation - presumably for transporting amino acids out of the cell interior, or to allow rapid resynthesis of muscle protein once amino acids become available again.).
A second hypothesis of mine, albeit somewhat remote and vague, is that increased blood flow supplementation might have something to with it. I do not have enough insight into hemodynamics to provide an informed opinion, but perhaps n-3 supplementation affected blood flow in such a way that hyperaminoacidemia occurred faster.
However, this would only alter the temporal pattern of MPS, and not the absolute rate. That might be a desirable effect for the elderly population, but not necessarily great for younger folks.
It is unlikely that the beneficial effect of LCn-3PUFA on muscle protein synthesis was related to their antiinflammatory properties because our subjects were young and healthy and we did not detect any treatment-induced changes in inflammatory cytokine concentrations in plasma – most likely because the concentrations were very low to begin with.
One hypothesis was that MPS could be negatively affected by inflammation. Since these subjects were healthy, there was no meaningful relationship between MPS and these markers. However, low-grade inflammation is often present in metabolically challenged individuals and there are studies which suggest that MPS is impaired in these cases.
Lowering inflammation, i.e. via n-3 supplementation, might be beneficial for restoring MPS in inflammatory states, such as obesity or illness. I don't think any human studies have confirmed this as far as obesity goes, e.g. lowered inflammation with n-3 and seen increases in MPS, but it's a theory.
Lowered inflammation with n-3-enriched tube feeding was posed as a possible mechanism for greater muscle retention in an earlier study on n-3 and cancer (a highly inflammatory disease state.).
...we infused amino acids and insulin at rates close to those used to achieve the half-maximal amino acid induced increase in muscle protein synthesis...
This is in reference to the choice of the amino acid dose to achieve a 50% increase in MPS, which is typical of that dose, based the response seen in other studies. This was done to avoid the "ceiling effect".
The "ceiling effect" is also referred to as the "muscle full" phenomenon and denotes the point where MPS falls back to basal values. In the Average Joe, this ceiling is reached in the third hour in response to an infusion rate of 10 g amino acids/hour, which amounts to about 2 g leucine total. After that, MPS becomes refractionary. A logical response. Had MPS not fallen back to basal values, we'd all look like Ronnie Coleman times ten.
Simply put, there is a limit to how much amino acids the muscles require for maintaining normal function, and they will not take up more aminos than what is required for muscle homeostasis.
We made our measurements of muscle protein synthesis during a 3-h infusion of insulin, amino acids and glucose because the rate of muscle protein synthesis rises quickly (within <30 min) in response to increased amino acid availability but then returns to basal values after ~2.5-3.0 h.
Important: This is a crucial aspect of this study that might make the results less than fully applicable. In fact, I think the researchers have made a critical error here.
It seems that they choose the amino acid infusion rate (105 mg/kg/hour) based on the assumption that MPS becomes refractionary in the third hour, regardless of the infusion rate, which is not the case at all. Bohe et al., showed that the refractionary response occurred in response to an infusion rate of 162 mg/kg/hour. Meaning that they had no grounds for limiting themselves to a 3-h infusion.
But why is this important then? Because the short time-period vastly limits the conclusion that can ultimately be drawn from the results. For example, recall that MPS increased by 68% in response to amino acids pre-n-3 supplementation. After n-3-supplementation, the same dose caused a 98% increase.
However, nothing can be said about the temporal pattern during these 3 hours. What if MPS would have become refractionary in the 4th hour after the second experiment, whilst remaining elevated after the first experiment?
We can only say that the absolute increase in MPS was greater within the narrow time-period of the study protocol. However, recall what I said about the "muscle full" scenario. It might be that n-3-supplementation simply increases the rapidity of amino acid uptake for any given dose; e.g. by altering amino acid transporter expression, which would then result in greater MPS within a shorter time-period.
However, once "muscle full" is achieved (after the absorption of ~2 g leucine), it should theoretically become refractionary. In contrast, sans n-3-supplementation the absorption would be slower, resulting in lower MPS that becomes refractionary at a later stage.
The key question here, which in my opinion remains unanswered, is whether n-3-supplementation has the potential of increasing the absolute capacity for MPS in response to a fixed amount of amino acids; similar to what weight training does. There is some indication that this might be the case:
There was a trend for an increase in the RNA-to-DNA ratio, the cell capacity for protein synthesis, but the difference did not reach statistical significance (P = 0.13).
Important: If this is the case, n-3-intake would be one of the most important dietary components for body composition. I am not much for hyperbole, but this is a very exciting study - even if it's limited by its short infusion protocol.
Therefore, we assume that the increase in the anabolic response after LCn-3PUFA supplementation was due to an increase in the magnitude of the anabolic response. However, we cannot rule out the possibility that the effect was due to an increase in the duration of the anabolic effect of nutritional stimuli.
Yes, as I noted before, they cannot say much about the temporal pattern. I'm disappointed in Rennie for his lack of critical reflection around the short infusion protocol, which was chosen based on erroneous assumptions in regards to the refractionary state. Then again, even the best make mistakes.
This study could have been vastly improved if they had chosen the infusion rate (162 mg/kg/hr) required to reach a "muscle full" scenario within three hours and used a 4-hr infusion protocol. They would then compare MPS pre- vs post-n-3-supplementation. Had they then seen that MPS was higher post-n-3-supplementation, their conclusion...
In summary, we have shown that LCn-3PUFA supplementation in healthy 25 - 45 y old individuals increases mTOR signalling and the anabolic response of muscle protein synthesis to hyperinsulinemia-hyperaminoacidemia, which resulted in increased muscle cell size (protein-to- DNA ratio) and protein concentration.
...would have been a lot more valid.
The specific mechanism(s) by which LCn-3PUFA act on the muscle protein synthesis process remain mostly unknown.
And the mechanism by which omega-3 fatty acids affects muscle protein synthesis remains shrouded in mystery.
Here's the reason I don't eat much fish. I have nothing against fish, but there is no protein source I would rather choose over roast beef. Perhaps one day we might also uncover the anabolic potential of roast beef. But until then, I'll make sure to supplement my fat intake with EPA and DHA. I suggest you do so too, if you don't eat fatty fish on a regular basis.
Final Thoughts and Recommendations
Even though the conclusions that can be drawn based on this study are somewhat limited due to the infusion protocol, I find the results promising enough to make changes to my own diet. Consequently, I will personally increase my daily n-3 intake to achieve a similar EPA/DHA saturation of the plasma membranes. I will also make this a mandatory part of the diet templates for my clients.
This means that I recommend an intake of 2 g EPA and 1.5 g DHA per day, and it means that you should pay closer attention to the EPA/DHA amounts you get from your fish oil supplement.
As I mentioned earlier, a 1-gram fish oil capsule does not yield high amounts of EPA and DHA, as most of it is filler. The 3 grams of fish oil I have been taking up until now yields a trivial amount of 0.18 EPA/0.12 DHA per capsule. I'd need about 10 of those capsules to reach the amounts required.
Which fish oil supplements contain satisfactory amounts of EPA/DHA? I don't feel like chewing on 10 of those capsules, so I will explore other alternatives. I've looked around for a bit and have found these high-EPA/DHA-brands:
NutraSea Original Liquid.
Cost of daily dose required (3 tsp/15 ml liquid) to reach 2 g EPA/1.5 g DHA: $0.99. (500 mL bottle.)
Ultra Omega-3
Cost of daily dose required (4 softgels) to reach 2 g EPA/1.5 g DHA: $0.44. (180 g softgels.)
Swedish readers: "Omega-3 Forte" from Pharbio seems to be the best choice. You will need 6 softgels to meet the EPA/DHA-requirements. Daily cost: 9.4 SEK. You can order Omega-3 Forte from Svenskt Kosttillskott
The aforementioned brands are good and affordable alternatives for meeting the daily EPA/DHA requirements. Softgels are always cheaper, but some people can't stand fish oil capsules, in which case a liquid solution might be a more attractive alternative. So that's that.
If you eat fatty fish on a regular basis, a stringent EPA/DHA-protocol might not be required. You can check the EPA and DHA content of fish here. Example: your average store-bought salmon yields 0.7 g EPA and 1.4 g DHA per 100 g. Do the calculations based on your average weekly intake. Keep in mind that the amounts can vary depending on the breeding of the fish, e.g. farm-raised vs wild salmon.
Read more about supplements you might actually find useful in this article.
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Where have you been?
Some readers might wonder why there haven't been any updates for more than a month. I blame this partly on my new laptop crashing. I bought it for myself as a Christmas present, but it came with an unfortunate defect in the HDD which caused my laptop to crash.
The process of sending it back and forth to repairs took about three weeks, during which I had to used my old laptop (which is ridiculously slow). When I write, I always work with several tabs open, since I need to do frequent fact-checking for the studies I cite, and so forth. I couldn't stand doing that on my sluggish old laptop. My work and motivation suffered.
Once I received my new laptop in return again, I had fallen out of the groove of writing and just got lazy and complacent. But I'm back on track now, it seems. Hopefully, you won't have to wait another 5 weeks for the next update.
I hope you found today's article interesting. I apologize for the ranting, the technical detail, and the length of the study review. I think the results are truly interesting, and perhaps revolutionary as far as supplements goes. I was eager to give you the full scoop without dumbing it down too much.
If you enjoyed the article, or any other article on my site for that matter, perhaps you might consider a donation in show of support of my writings and the time I put into them.
That's all for today, folks.
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