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1. ABSTRACT
Sugar is highly palatable and rewarding,
both in its taste and nutritive input. Excessive sugar
consumption, however, may trigger neuroadaptations
in the reward system that decouple eating behavior
from caloric needs and leads to compulsive overeating.
Excessive sugar intake is in turn associated with
adverse health conditions, including obesity, metabolic
syndrome, and inammatory diseases. This review
aims to use recent evidence to connect sugar’s impact
on the body, brain, and behavior to elucidate how
and why sugar consumption has been implicated in
addictive behaviors and poor health outcomes.
2. INTRODUCTION
The past several years have been marked
by a growing awareness of the unsavory effects
of excessive sugar consumption. As of 2015, the
World Health Organization recommends reducing
added sugar to less than 5% of daily caloric intake to
lower the risk of unhealthy weight gain and obesity
(1). Last year, the American Academy of Pediatrics
recommended that parents should not feed fruit juice
to infants younger than one year because of its high
sugar content (2). This advice reects a growing body
of research investigating added sugar as an instigator
of obesity and metabolic syndrome (a combination of
risk factors like high blood pressure, high triglycerides,
high fasting blood glucose, etc. that increase the
likelihood of cardiovascular disease, type 2 diabetes
mellitus, and non-alcoholic fatty liver disease (3).
Other research has examined sugar as a potentially
addictive substance. However, the public is still
ooded with mixed messages from advertising, health
organizations, and popular press about sugar’s impact
on human health. Unbiased scientic ndings from the
past several years have begun to help clear up this
consumer confusion.
Sugar typically refers to a category of simple
carbohydrates that includes monosaccharides like
fructose and glucose, and disaccharides, like sucrose
and lactose, which have different effects on the body
and brain. The present review focuses primarily on
added sugars, namely sucrose and high fructose corn
syrup (HFCS), because of their negative impact on
health and because they predominate in the typical
western diet. Sucrose, or table sugar, is a disaccharide
made up of one-part glucose and one-part fructose. In
contrast, HFCS is comprised of 42% or 55% of free
Impact of sugar on the body, brain, and behavior
Clara R Freeman1, Amna Zehra1, Veronica Ramirez1, Corinde E Wiers1, Nora D Volkow1,2, Gene-Jack
Wang1
1Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of
Health, Bethesda, MD, 20892, 2Ofce of Director, National Institute on Drug Abuse, National Institutes of
Health, Bethesda, MD, 20892
TABLE OF CONTENTS
1. Abstract
2. Introduction
3. Sugar on the body, brain, and behavior
3.1 Fructose vs. glucose
3.2 Hedonic response to sugar and rewards of sugar intake
3.3 Hedonic response: fructose vs glucose
3.4 Sugar addiction
3.5 Sugar, obesity, and cognitive functioning
4. Sugar compared
4.1. Sugar vs. fat
4.2 Sugar vs. complex carbohydrates
5. Conclusions and future directions
6. Acknowledgement
7. References
[Frontiers In Bioscience, Landmark, 23, 2255-2266, June 1, 2018]
Sugar’s impact on the body, brain, and behavior
2256 © 1996-2018
fructose, complemented by free glucose (4). Because
most added sugar consumption comes from sucrose
or HFCS, we typically consume both fructose and
glucose together. However, research on the individual
monosaccharides, fructose and glucose, has revealed
large differences in how they affect the body.
The present review aims to explore sugar
and its physiological effects on the brain and body,
which may play a role in its adverse health effects.
First, we discuss different types of sugar and how they
are processed by the body and brain. Second, we
address sugar’s hedonic effects, addictive properties,
and connections with obesity, primarily focusing on
imaging studies in humans with support from the
animal literature. Third, we aim to compare how sugar
is metabolized and processed compared to other
macronutrients such as fat and ber-rich complex
carbohydrates to further emphasize any singular
effects attributable to sugar.
3. SUGAR ON THE BODY, BRAIN, AND
BEHAVIOR
3.1 Fructose vs. glucose
Monosaccharides differ in how they are
processed by the brain and inuence brain activity.
Although some consumers may believe that fructose is
healthier because it comes from fruit (5), this notion is
misguided. The body does not respond in the same way
to fructose in fruit as to added fructose. As an added
sugar, fructose is particularly implicated in metabolic
syndrome, hypertension, insulin resistance, lipogenesis,
diabetes and associated retinopathy, kidney disease,
and inammation (4,6,7,8,9). Accordingly, reduction of
fructose in the diet of at risk individuals appears to reduce
these symptoms. When added fructose was replaced
by glucose (in the form of starch) in the diets of obese
children, liver fat, de novo lipogenesis, diastolic blood
pressure, triglycerides, and LDL cholesterol decreased
while insulin sensitivity improved (10,11). Furthermore,
in fruit, fructose is accompanied by antioxidants,
avonols, potassium, vitamin C and high ber, which
may collectively outweigh any negative consequences
of fructose content (4, 12). Importantly, the quantities of
fructose in a piece of fruit and a sweetened beverage
are drastically different. For example, the fructose in
a peach represents approximately 1% of the fruit’s
weight whereas fructose accounts for half the weight
of HFCS (7).
Differences in health effects between glucose
and fructose may be caused by the different metabolic
pathways they follow. Digestion and absorption of
sugars takes place in the top half of the digestive tract
(13). Most of the glucose in the blood stream is not
stored in the liver but rather, through the action of
insulin, quickly passes through to muscle, adipose,
and other peripheral tissues where it can immediately
be used as energy (13). Fructose, on the other hand, is
a less direct source of energy. Independent of insulin,
the liver converts fructose to glucose, lactate, and/or
fatty acids before passing it to the blood stream where
it can be oxidized in other tissues for energy (14,15,8).
Compared to glucose, fructose produces smaller
increases in plasma glucose and circulating satiety
hormones such as glucagon-like peptide-1 (GLP-1)
and insulin (16). Fructose also attenuates suppression
of ghrelin, an appetitive hormone, while glucose does
not (17). Therefore, fructose allows overconsumption
of calories by failing to activate the body’s signals to
stop eating.
Beyond weight gain and obesity, other
diseases are linked to fructose’s metabolic pathway.
High dietary fructose can increase de novo lipogenesis
in the liver (18) in a way that is reminiscent of ethanol
(19). This is because fructose bypasses the main
rate limiting step of glycolysis to act as a precursor
for fatty acid synthesis (20,21,8). This bypass may
also explain the increased rates of non-alcoholic
fatty liver disease and resulting insulin resistance
associated with fructose ingestion (20). Fructose
also seems to contribute to inammation in the body.
When in excess in the intestinal lumen, fructose
generates advanced glycation end products (AGE’s),
which are related to neurodegenerative diseases,
atherosclerosis, and chronic inammatory diseases
such as asthma, diabetes, and associated cognitive
decline (22,9,23,24,25).
Glucose and fructose have differing impacts
on the brain. Compared to other organs, the brain has
vastly disproportionate energy requirements relative
to its weight. Neurons have an especially high energy
demand for generating postsynaptic potentials and
action potentials, necessitating large amounts of energy
(26). Glucose from the bloodstream is the main source
of energy for the brain (26,27). Glucose transporters
in astrocytes and the epithelial cells of the blood
brain barrier (BBB) are responsible for transporting
glucose into the brain (16,26). Neurons then absorb
glucose from astrocytes using glucose transporters. In
contrast, fructose cannot directly supply the brain with
energy as it crosses the blood brain barrier to a much
lesser degree than glucose (16,26). However, fructose
administered intraperitoneally in rodents crossed
the BBB to some degree and triggered neuronal
activation. This fructose was metabolized into lactate,
an alternate energy source, in the hypothalamus (16).
Fructose’s ability to cross the BBB has not yet been
studied in humans, so more research is needed on the
direct effects of fructose in the brain. Nonetheless, the
differential effects of the two monosaccharides may
be attributed in part to glucose’s more immediate and
direct availability to the brain as an energy source as
compared to fructose.
Sugar’s impact on the body, brain, and behavior
2257 © 1996-2018
3.2 Hedonic response to sugar and rewards of
sugar intake
While the hypothalamus regulates food
intake in terms of energetic needs, the dopamine
reward/motivation circuitry involving striatal, limbic and
cortical areas also drives eating behavior (28). Other
neurotransmitters including serotonin, endogenous
opioids, and endocannabinoids confer the rewarding
effects of food in part by modulating its hedonic
properties (29). Ingestion of palatable food releases
dopamine (DA) in the ventral and dorsal striatum and
dorsal striatal DA release is proportional to the self-
reported level of pleasure gained by eating the food
(30). Highly palatable foods, namely those rich in sugar
or fat, can strongly trigger these reward/motivation and
hedonic systems, encouraging food intake beyond the
necessary energy requirements (31). While this may
have been evolutionarily advantageous by encouraging
fat storage when food was scarce, overeating becomes
a liability in our current environment, which has no
shortage of highly caloric and processed foods.
There are two principal rewarding aspects of
sugar consumption: nutrition and taste. Rodent studies
have indicated that these two aspects are distinct and
dissociable and may follow different neural pathways
(32,33). One path for the nutritive rewards of sugar
comes from melanin-concentrating hormone (MCH)
neurons in the lateral hypothalamus (32). In rodents,
these neurons re in response to extracellular glucose
levels, independent of gustatory input, and project to
dopamine neurons in the midbrain that in turn project to
the ventral and dorsal striatum. Though animals typically
prefer sucrose over sucralose (non-nutritive sweetener),
transgenic mice who lack MCH neurons do not, showing
that this pathway is essential for encoding nutritive
reward. When MCH neurons are optogenetically
stimulated during the consumption of sucralose, the
mouse brain is tricked into responding as if it is receiving
caloric energy with a resultant increase in striatal DA
and even preference of sucralose over sucrose (32).
The nutritive reward value of sugar is associated with
increases in DA release in the dorsal striatum (34). When
infused intra-gastrically in mice to avoid the confounds of
taste, glucose elicited DA release in the dorsal striatum
while sucralose did not (34).
The sweet taste of sugar is also rewarding—
offering an explanation as to why articial sugars
like sucralose are still consumed despite their lack
of nutritive value. The reward of the sweet taste,
however, activates a different neural pathway than the
caloric input. While the nutritive reward of sugar in mice
causes DA release primarily in the dorsal striatum,
the sweetness reward is concentrated in the ventral
striatum (32). Consumption of sucralose in mice was
associated with increased DA in the ventral striatum
except when tainted by a bitter additive, suggesting
that the reward is derived from the palatable taste
rather than another feature of sucralose (34).
Although both the nutritive and taste rewards
of sugar are, to some extent, neurologically distinct, they
occur in tandem and are interrelated. A recent study
showed that mice modied to have disrupted DA D-2
receptor (DRD2) signaling in the nucleus accumbens
(NAc) shell of the ventral striatum exhibited more
perseverative and impulsive sucrose-taking, increased
sucrose reinforcement, increased reinforcement/
reward learning of glucose-paired avors, and
worsened learning exibility (35). Additionally, these
mice were less efcient in metabolizing glucose. This
suggests that DRD2 in the NAc are essential both for
regulating peripheral glucose levels as well as the
reinforcement/reward learning of glucose consumption
(35), which explains why dysregulation of this system
may lead to overeating.
3.3 Hedonic response: Fructose vs. glucose
Just as fructose and glucose have different
metabolic pathways, they have different hedonic effects
on the brain and behavior. Fifteen minutes after subjects
received a drink of either pure fructose or glucose
during a functional MRI (fMRI) scan, those receiving
glucose showed a signicantly reduced amount of
cerebral blood ow (CBF) in the hypothalamus, insula,
anterior cingulate cortex, and striatum when compared
to baseline (17). They also showed greater functional
connectivity between the hypothalamus, thalamus,
caudate, and putamen. The increased connectivity
between the hypothalamus and the dorsal striatum after
glucose was interpreted to reect engagement of the
nutritive reward pathway. The reduction in hypothalamic
activity and increased connectivity with reward centers
was accompanied by a perceived increase in fullness
and satiety. In contrast, consuming a fructose drink was
not associated with reduced CBF in the hypothalamus,
but instead with reduced CBF in the thalamus,
hippocampus, posterior cingulate cortex, fusiform gyrus,
and visual cortex. Although those in the fructose group
did have increased connectivity between the thalamus
and hypothalamus, there was no increase detected
with the dorsal striatum as observed in the glucose
group. Correspondingly, fructose consumption did not
signicantly reduce hunger. Fructose consumption has
also been associated with a stronger fMRI response in
the visual cortex to high calorie foods compared that
with glucose consumption (14). As fructose delivers
a sweet taste without an immediate nutritive input, it
follows that fructose consumption should be associated
with increased appetitive behavior and reactivity to food.
3.4 Sugar and addiction
Sugar has been characterized by some as
an addictive substance, with properties comparable to
Sugar’s impact on the body, brain, and behavior
2258 © 1996-2018
that of drugs of abuse. Nonetheless, explicit evidence
of pure sugar addiction has thus far been limited to
research with rodents. Rat studies have shown that
sugar addiction may be induced by intermittent access
to sugar and in many ways resembles opiate addiction
(36). Rats with 12-hour access to sugar followed by
12 hours of food deprivation showed “bingeing”,
“withdrawal”, “craving”, and cross sensitization to drugs
of abuse, like amphetamine1 (37,38). When these
sugar exposed mice were given naloxone, an opioid
antagonist, they showed withdrawal symptoms as
observed with mice chronically exposed to opioid drugs
(39,36,40). Because the same reward-related brain
structures (i.e., NAc shell, caudate nucleus), respond
to the positive valence and saliency of both sugar and
drugs, there is reason to believe that their mechanisms
of producing addictive behavior as well as physical and
psychological responses are related (41,42,43,44).
In fact, using a free-choice lever pressing paradigm,
Lenoir and colleagues showed that rats nd high levels
of sweetness from non-nutritive saccharin or sucrose
more rewarding than cocaine even for rats that were
already dependent on cocaine (45).
Like other rewarding stimuli, intake of
sucrose induces DA release in the NAc, but after
repeated exposure and conditioning, DA efux is more
prominent in dorsal striatal areas, which are important
for habitual behaviors (46,47). Parallel to changes seen
in opiate addiction, sugar addiction in rats is marked
by an upregulation of dopamine D1 and mu-1 opioid
receptors in the NAc shell, and a decrease of DRD2
in the striatum (48,49,50). However, this effect is much
more pronounced in the NAc of sugar-taking rats while
more evenly distributed across the dorsal and ventral
striatum for morphine-exposed rats (50). Still, deep-
brain stimulation in the NAc shell prevented relapse of
both cue-induced sugar and cocaine consumption in
rats (51).
Evidence of similar predispositions for
sugar and drug-taking further highlight their shared
mechanisms. Alcohol and drug abusers tend to have
a greater preference for sweet foods, especially those
with a family history of alcoholism or drug addiction,
suggesting a genetic component to this association
(52,53). A recent study exploring the heritability of
high sugar consumption and substance use disorders
(SUDs) found that these two phenomena were
correlated, and that both genetic and environmental
factors (59% and 41% correspondingly) explained the
variability in the relationship (54).
3.5 Sugar, obesity, and cognitive functioning
Some scientists argue that the obese brain
is addicted to food, particularly highly processed food
containing added sugar or fat. In both rodents and
humans, lower DRD2 in the striatum is seen in obesity
as in drug addiction (55,56). However, others argue
that only the subset of obesity corresponding to binge
eating disorder (BED) involves food addiction (57).
Cravings for sweets and carbohydrates can partially
mediate the signicant association between addictive-
like eating symptoms and binge eating episodes
(58). As cravings are a core feature of addiction, this
is a necessary component to implicate sugar as a
potentially addictive substance.
The typical pattern of response to glucose
and fructose is somewhat altered in obese individuals.
Compared to lean adolescents, obese adolescents
showed reduced perfusion in the prefrontal cortex
(PFC) and increased perfusion in the hypothalamus
and striatum following a glucose drink (59). In the
fructose drink condition, obese adolescents once again
had reduced CBF in the PFC and increased CBF in the
striatum, especially the NAc, while lean adolescents
did not (59). There also appears to be evidence of
insufcient down regulation of appetite following
caloric intake in adult obese individuals. Using positron
emission tomography (PET) with (11C)raclopride to
measure DA release and DRD2 occupancy in the
striatum, Wang and colleagues showed that obese
individuals had a reduced DA response in the ventral
striatum after consuming a glucose drink (controlling
for sweet taste with a sucralose condition) compared
to lean participants (60, Figure 1). Because DRD2
mediates the inhibition of aversive responses,
i.e. hunger, the reduced DA release with caloric
consumption in obese individuals might contribute to
excess food intake.
Added sugar consumption has also been
associated with cognitive impairments, especially
worsened hippocampal memory function. Rats on
a high sugar/low fat, or a high sugar/high fat diet
show hippocampal-dependent memory decits (61).
This relation appears to be mediated by increased
hippocampal inammation, which is especially
pronounced in the high sugar/low fat condition (61).
Associations in humans support these ndings: greater
relative carbohydrate intake predicted a heightened
risk of mild cognitive impairment or dementia in elderly
people, while carbohydrate intake in school children
was negatively associated with nonverbal intelligence
tests (61).
In contrast, the ketogenic diet (KD), a high-fat,
low-protein and low-carbohydrate diet (e.g., a 4:1 or
3:1 ratio of fat to carbs and protein), has gained traction
to manage different neurological and psychiatric
disorders and promote weight loss. This diet induces
a state of ketosis so that the brain uses ketone bodies
for energy rather than glucose. The diet has shown
consistent clinical benet in patients with epilepsy,
possibly due to the increase of acetone in the brain,
which has anticonvulsant effects (62,63,64,65,66).
Sugar’s impact on the body, brain, and behavior
2259 © 1996-2018
Figure 1. Top: Statistical signicance of dopamine (DA) changes in nucleus accumbens for the contrast glucose > sucralose intake (ΔBPND). Bottom:
Correlation between BMI and brain DA changes. Reproduced with permission from (60).
Other less studied neurological conditions in which
KD has been used are Alzheimer’s Disease, where
daily use of a ketogenic compound lead to cognitive
improvements 45-90 days later (67), and Parkinson
Disease (68). The effects of KD have also been studied
in psychiatric disorders including ADHD, depression,
autism, anxiety, bipolar disorder, and schizophrenia,
but there is currently insufcient evidence available as
to whether the diet shows clinical efcacy (69). Further
research is needed to establish how the benets of the
ketogenic diet may be related to the detrimental effects
of high sugar consumption.
4. SUGAR COMPARED
4.1 Sugar vs. fat
Sugar consumption alone will not lead to
weight gain or obesity--even rats exhibiting addictive
behavior towards sugar do not gain weight (70,71).
Sugar’s impact on the body, brain, and behavior
2260 © 1996-2018
The same is true for fat--rats given intermittent access
to fat will binge on it, but will not gain signicant weight
(70). However, like sugar, fat also increases food
palatability, which can lead to hyperphagia. Higher
fat content in food is a large, signicant predictor
of problematic, addictive-like eating in humans
(71). Lower DRD2 may be a risk factor not only for
compulsive sugar-taking but also for fat bingeing; rats
with knocked down DRD2 exhibited more compulsive
eating of highly palatable fat-rich foods (72). Further, it
appears that greater amounts of fat may increase the
likelihood that a food will be consumed problematically,
even in those who do not report consuming food in an
addictive-like way (73).
While fat or sugar alone may not induce
weight gain, together they do. Highly processed
foods, which are often over-consumed, tend to contain
both fat and added sugar (e.g. ice cream, pizza, etc).
Sugar-coating of fatty foods can further increase their
palatability, contributing to overeating and weight
gain. Therefore, sugar and fat eaten together is a
very potent combination with implications for obesity.
Interestingly, rats who binged on a fat-sweet diet
gained weight but did not display the same withdrawal
effects as the sugar-addicted rats (70). Fat intake
may protect against opiate-like withdrawal symptoms
associated with excessive sugar consumption,
despite the other problematic health effects of the
sugar/fat combination.
4.2 Sugar vs. complex carbohydrates
Irrespective of sugar, not all carbohydrates
are associated with adverse health effects. While
some complex carbohydrates, like starches, are
broken down into monosaccharides, others, like the
ones found in fruits, vegetables, and ber-rich whole
grains and legumes, follow a different metabolic
pathway. Unlike sugars, which can be absorbed
in the upper half of the GI tract, certain complex
carbohydrates are not digestible by human enzymes
and must be broken down by microbes in the large
intestine (74,13,75,76,77). Gut microbes produce
short chain fatty acids (SCFAs) as a byproduct of the
fermentation of these complex carbohydrates. The
primary SCFAs produced are acetate, propionate, and
butyrate, which can be used by the body as an energy
source. Complex carbohydrates are more lling than
sugars because SCFAs can increase the release of
hormones and peptides from enteroendocrine cells
that result in increased satiety, thus reducing food
seeking behavior (78).
In direct contrast to the effects of excessive
sugar intake, especially fructose, SCFAs seem to have
multiple health benets including anti-inammatory
effects, antidiabetic effects via suppression of insulin
signaling, inhibition of fat storage, and decreased body
fat and weight (79,75,13,76). As previously mentioned,
sugar ingestion seems to increase the inammatory
response in the body. Excessive sugar intake has been
associated with an increase in diabetes and associated
cognitive impairment mediated by an increase
in inammation (23). Diabetes also involves the
impairment of insulin signaling along with the presence
of low-grade inammation (23). These aspects of the
pathogenesis of diabetes seem to parallel the effects
of fructose on the body (20). Fructose metabolism may
cause inammation by increasing fatty acid oxidation
in the liver and increasing transcription of inammatory
factors (7,8). Therefore, the SCFAs produced by gut
microbes in the digestion of complex carbohydrates
could be a source of protection against the inammatory
effects of a high fructose diet.
The anti-inammatory effects of SCFAs are
also seen in the brain. Gut microbes seem to regulate
the central nervous system via pathways involving the
immune system and the vagus nerve (78,76). SCFAs can
elicit cell signaling by binding to G-protein receptors found
in multiple locations, including nerve bers of the portal
vein, enteroendocrine cells of the intestines, glial cells in
the brain, and adipocytes. This binding seems to suppress
a neuroinammatory response: butyrate treatment has
been shown to protect against lipopolysaccharide (LPS)
inammatory responses in microglia. Despite these
ndings of indirect anti-inammatory effects, propionate
has been shown to promote microglial activation (78) and
the full effects of complex carbohydrate metabolism on
the brain are still unclear. Future research is necessary to
determine whether SCFAs cross the blood brain barrier
to have a more direct effect on the brain and behavior,
including how they might counterbalance the effects of
sugar and food-seeking.
5. CONCLUSIONS AND FUTURE
DIRECTIONS
Sugar is a highly palatable food that triggers
our reward systems due to both caloric input and
taste. Taken in excess, sugar can trigger these reward
systems too strongly, inducing compulsive eating. The
nutritive and taste reward centered in the striatum
and the homeostatic signaling from the hypothalamus
become less effective at communicating with each other
to signal satiety. Added fructose is especially disruptive
because it is not immediately available as an energy
source for the brain, providing a sweet taste without
the accompanying benecial and timely nutritive input.
The following dysregulation of eating behavior in many
ways parallels the compulsive consumption of drugs
in addiction.
When we examine glucose and fructose
separately, added fructose is associated with many
more health risks than glucose. Fructose can
increase food-seeking and lead to fat production and
Sugar’s impact on the body, brain, and behavior
2261 © 1996-2018
storage. It may also be related to neurodegenerative
inammatory disease like diabetes and Alzheimer’s.
As an alternative to sugar, complex carbohydrates in
fruits, vegetables, legumes and ber-rich grains are
fermented by gut microbes, producing SCFAs, which
may counterbalance the inammatory effects of sugar.
The evidence of sugar addiction in rat models
does not clearly translate to humans. Because fat
seems to protect against sugar withdrawal symptoms
in rats, we may be unable to identify pure sugar
withdrawal in humans due to our naturally varied
diet. Nonetheless, overlap between the risk factors,
neurobiological substrates, and behavioral effects
of drug addiction and sugar bingeing suggest that
added sugar is a problematic substance that might
trigger behaviors akin to those of addictive drugs.
The combination of sugar and fat is especially potent
for triggering food overconsumption and weight gain.
While each alone will not cause weight gain, sugar and
fat together are highly palatable and can induce weight
gain and obesity.
Although it is clear that excess added sugar,
fructose in particular, has adverse health effects, further
research is needed to study the mechanisms of these
effects, including how sugar affects the brain. One
particularly pressing line of research is to understand
the direct effects of fructose and SFCAs on the brain.
Although there is preliminary evidence that SFCAs may
counter the inammatory effects of fructose, we still do
not know to what extent they are able to cross the blood
brain barrier and how they are processed in the brain.
This research may have important implications for type
2 diabetes, which has been associated with dementia
and cognitive impairment, as well as for Alzheimer’s
and other diseases (23).
Another future direction of clinical concern is
research trials on dietary interventions for neurological
and psychiatric health, as recent studies increasingly
show adverse effects of dietary sugar on mental health
problems, such as ADHD (80), and sleep duration (81).
More randomized controlled trials on the effects of the
ketogenic diet and similar diets in psychiatric disorders
are needed.
In summary, reducing added sugar
consumption may help to promote healthy eating
behavior and maintain overall physical and behavioral
health. Future research in the form of RCTs is needed
in humans to fully understand the systems-wide effects
of sugar.
6. ACKNOWLEDGEMENTS
The work is supported by the Intramural
Research Program of the National Institute on Alcohol
Abuse and Alcoholism (Y1AA3009).
7. REFERENCES
1. World Health Organization. Guideline:
Sugars intake for adults and children.
Geneva (2015)
2. SA Abrams: Fruit Juice in Infants,
Children, and Adolescents: Current
Recommendations, 139(6) (2017)
3. RH Eckel, SM Grundy, PZ Zimmet: The
metabolic syndrome. Lancet 365(9468),
1415-1428 (2005)
DOI: 10.1016/S0140-6736(05)66378-7
4. M Madero, JC Arriaga, D Jalal, C Rivard,
K McFann, O Pérez-Méndez, RJ Johnson:
The effect of two energy-restricted diets, a
low-fructose diet versus a moderate natural
fructose diet, on weight loss and metabolic
syndrome parameters: a randomized
controlled trial. Metabolism 60(11), 1551-
1559 (2011)
DOI: 10.1016/j.metabol.2011.04.001
5. B Sütterlin, M Siegrist: Simply adding the
word “fruit” makes sugar healthier: The
misleading effect of symbolic information on
the perceived healthiness of food. Appetite
95, 252-261 (2015)
DOI: 10.1016/j.appet.2015.07.011
6. DI Jalal, G Smits, RJ Johnson, M Chonchol:
Increased fructose associates with elevated
blood pressure. J Am Soc Neph 21(9), 1543-
1549 (2010)
DOI: 10.1681/ASN.2009111111
7. JJ DiNicolantonio, JH O’keefe, SC Lucan:
Added fructose: a principal driver of type
2 diabetes mellitus and its consequences.
Mayo Clin Proc 90(3), 372-381 (2015)
DOI: 10.1016/j.mayocp.2014.12.019
8. VS Malik, FB Hu: Fructose and
cardiometabolic health: what the evidence
from sugar-sweetened beverages tells us.
J Am Coll Cardiol 66(14), 1615-1624 (2015)
DOI: 10.1016/j.jacc.2015.08.025
9. M Aragno, R Mastrocola: Dietary Sugars
and Endogenous Formation of Advanced
Glycation Endproducts: Emerging
Mechanisms of Disease. Nutrients 9(4), 385
(2017)
DOI: 10.3390/nu9040385
10. JM Schwarz, SM Noworolski, A Erkin-
Cakmak, NJ Korn, MJ Wen, VW Tai, BW
Sugar’s impact on the body, brain, and behavior
2262 © 1996-2018
Patterson: Effects of dietary fructose
restriction on liver fat, de novo lipogenesis,
and insulin kinetics in children with obesity.
Gastroenterology 153(3), 743-752 (2017)
DOI: 10.1053/j.gastro.2017.05.043
11. RH Lustig, K Mulligan, SM Noworolski, VW
Tai, MJ Wen, A Erkin-Cakmak, JM Schwarz:
Isocaloric fructose restriction and metabolic
improvement in children with obesity and
metabolic syndrome. Obesity 24(2), 453-460
(2016)
DOI: 10.1002/oby.21371
12. X Gao, G Curhan, JP Forman, A Ascherio,
HK Choi: Vitamin C intake and serum uric
acid concentration in men. J Rheumatol
35(9), 1853-1858 (2008)
13. DJA Jenkins, LSA Augustin, A Malick, A
Esfahani, CWC Kendall: Glucose: Chemistry
and Dietary Sources. Encyc Hum Nutr 2,
390-398 (2013)
DOI: 10.1016/B978-0-12-375083-9.00133-1
14. S Luo, JR Monterosso, K Sarpelleh, KA
Page: Differential effects of fructose versus
glucose on brain and appetitive responses
to food cues and decisions for food rewards.
Proc Natl Acad Sci 112(20), 6509–6514
(2015)
DOI: 10.1073/pnas.1503358112
15. MR Laughlin: Normal roles for dietary
fructose in carbohydrate metabolism.
Nutrients 6(8), 3117-3129 (2014)
DOI: 10.3390/nu6083117
16. M Ochoa, JP Lallès, CH Malbert, D Val-
Laillet: Dietary sugars: their detection by
the gut–brain axis and their peripheral and
central effects in health and diseases. Eur J
Nutr 54(1), 1-24 (2015)
DOI: 10.1007/s00394-014-0776-y
17. KA Page, O Chan, J Arora, R Belfort-
Deaguiar, J Dzuira, B Roehmholdt, GW
Cline, S Naik, R Sinha, RT Constable, RS
Sherwin: Effects of fructose vs glucose on
regional cerebral blood ow in brain regions
involved with appetite and reward pathways.
JAMA 309(1), 63–70 (2013)
DOI: 10.1001/jama.2012.116975
18. JM Schwarz, SM Noworolski, MJ Wen, A
Dyachenko, JL Prior, ME Weinberg, LA
Herraiz, VW Tai, N Bergeron, TP Bersot, MN
Rao, M Schambelan, K Mulligan: Effect of
a High-Fructose Weight-Maintaining Diet on
Lipogenesis and Liver Fat. J Clin Endocrinol
Metab 100 (6), 2434-42 (2015)
DOI: 10.1210/jc.2014-3678
19. JS Lim, M Mietus-Snyder, AValente, JM
Schwarz, RH Lustig: The role of fructose
in the pathogenesis of NAFLD and the
metabolic syndrome. Nature reviews
gastroenterology and hepatology 7(5), 251
(2010)
DOI: 10.1038/nrgastro.2010.41
20. KL Stanhope, JM Schwarz, PJ Havel:
Adverse metabolic effects of dietary
fructose: results from recent epidemiological,
clinical, and mechanistic studies. Curr Opin
Lipidol 24(3), 198 (2013)
DOI: 10.1097/MOL.0b013e3283613bca
21. KL Stanhope, AA Bremer, V Medici, K
Nakajima, Y Ito, T Nakano, G Chen, TH Fong,
V Lee, RI Menorca, NL Keim: Consumption
of fructose and high fructose corn syrup
increase postprandial triglycerides, LDL-
cholesterol, and apolipoprotein-B in
young men and women. J Clin Endocrinol
Metab 96(10), E1596-E1605 (2011)
DOI: 10.1210/jc.2011-1251
22. A Gugliucci: Formation of fructose-mediated
advanced glycation end products and
their roles in metabolic and inammatory
diseases. Adv Nutr 8(1), 54-62 (2017)
DOI: 10.3945/an.116.013912
23. R Simó, A Ciudin, O Simó-Servat, C
Hernández: Cognitive impairment and
dementia: a new emerging complication of type
2 diabetes—The diabetologist’s perspective.
Acta diabetologica 54(5), 417-424 (2017)
DOI: 10.1007/s00592-017-0970-5
24. Y Bains, A Gugliucci, R Caccavello:
Advanced glycation endproducts form
during ovalbumin digestion in the presence
of fructose: inhibition by chlorogenic acid.
Fitoterapia 120, 1-5 (2017)
DOI: 10.1016/j.tote.2017.05.003
25. LR DeChristopher: Excess free fructose and
childhood asthma. Eur J Clin Nutr 69(12),
1371 (2015)
DOI: 10.1038/ejcn.2015.101
26. P Mergenthaler, U Lindauer, GA Dienel, A
Meisel: Sugar for the brain: the role of glucose
in physiological and pathological brain function.
Trends Neurosci 36(10), 587-597 (2013)
DOI: 10.1016/j.tins.2013.07.001
Sugar’s impact on the body, brain, and behavior
2263 © 1996-2018
27. K Shah, S DeSilva, T Abbruscato: The role
of glucose transporters in brain disease:
diabetes and Alzheimer’s disease. Int J Mol
Sci 13(10), 12629-12655 (2012)
DOI: 10.3390/ijms131012629
28. ND Volkow, RA Wise, R Baler: The
dopamine motive system: implications for
drug and food addiction. Nat Rev Neurosci
18(12), 741 (2017)
DOI: 10.1038/nrn.2017.130
29. ND Volkow, GJ Wang, RD Baler: Reward,
dopamine and the control of food intake:
Implications for obesity. Trends Cogn Sci
15(1), 37-46 (2011)
DOI: 10.1016/j.tics.2010.11.001
30. DM Small, M Jones-Gotman, A Dagher:
Feeding-induced dopamine release in dorsal
striatum correlates with meal pleasantness
ratings in healthy human volunteers.
Neuroimage 19(4), 1709-1715 (2003)
DOI: 10.1016/S1053-8119(03)00253-2
31. T Hoch, M Pischetsrieder, A Hess: Snack
food intake in ad libitum fed rats is triggered
by the combination of fat and carbohydrates.
Front Psychol 5, 1–11 (2014)
DOI: 10.3389/fpsyg.2014.00250
32. ML Westwater, PC Fletcher, H Ziauddeen:
Sugar addiction: the state of the science.
Eur J Nutr 55(s2), 1–15 (2016)
DOI: 10.1007/s00394-016-1229-6
33. IE De Araujo: Sweet taste signaling and the
formation of memories of energy sources.
Front. Syst. Neurosci 5, 99 (2011)
DOI: 10.3389/fnsys.2011.00099
34. LA Tellez, W Han, X Zhang, TL Ferreira, IO
Perez, SJ Shammah-Lagnado, AN van den
Pol, IE de Araujo: Separate circuitries encode
the hedonic and nutritional values of sugar.
Nature Neurosci 19(3), 465–470 (2016)
DOI: 10.1038/nn.4224
35. M Michaelides ML Miller, JA DiNieri, JL
Gomez, E Schwartz, G Egervari, GJ Wang, CV
Mobbs, ND Volkow, YL Hurd: Dopamine D2
Receptor Signaling in the Nucleus Accumbens
Comprises a Metabolic-Cognitive Brain Interface
Regulating Metabolic Components of Glucose
Reinforcement. Neuropsychopharmacology
42(12), 2365 (2017)
DOI: 10.1038/npp.2017.112
36. NM Avena, P Rada, BG Hoebel: Evidence
for sugar addiction: behavioral and
neurochemical effects of intermittent,
excessive sugar intake. Neurosci. Biobehav.
Rev. 32(1), 20–39 (2008)
DOI: 10.1016/j.neubiorev.2007.04.019
37. NM Avena, BG Hoebel. A diet promoting
sugar dependency causes behavioral cross-
sensitization to a low dose of amphetamine.
Neuroscience 122(1), 17–20 (2003)
DOI: 10.1016/S0306-4522(03)00502-5
38. R Eikelboom, R Hewitt: Intermittent access
to a sucrose solution for rats causes long-
term increases in consumption. Physiol
Behav 165, 77-85 (2016)
DOI: 10.1016/j.physbeh.2016.07.002
39. BG Hoebel, NM Avena, ME Bocarsly, P
Rada: A Behavioral and Circuit Model Based
on Sugar Addiction in Rats. J Addict Med
3(1), 33 (2009)
DOI: 10.1097/ADM.0b013e31819aa621
40. C Colantuoni, P Rada, J McCarthy, C Patten,
NM Avena, A Chadeayne, BG Hoebel:
Evidence that intermittent, excessive
sugar intake causes endogenous opioid
dependence. Obesity 10(6), 478-488 (2002)
DOI: 10.1038/oby.2002.66
41. G Di Chiara, A Imperato: Drugs abused by
humans preferentially increase synaptic
dopamine concentrations in the mesolimbic
system of freely moving rats. Proc Natl Acad
Sci 85(14), 5274-5278 (1988)
DOI: 10.1073/pnas.85.14.5274
42. A Hajnal, GP Smith, R Norgren: Oral sucrose
stimulation increases accumbens dopamine
in the rat. Am J Physiol Regul Integr Comp
Physiol 286(1), 31-37 (2004)
DOI: 10.1152/ajpregu.00282.2003
43. JE Smith, C Co, MD Coller, SE Hemby, TJ
Martin: Self-administered heroin and cocaine
combinations in the rat: Additive reinforcing
effects—Supra-additive effects on nucleus
dopamine. Neuropsychopharmacology
31(1), 139-150 (2006)
DOI: 10.1038/sj.npp.1300786
44. G Di Chiara, V Bassareo: Reward system and
addiction: what dopamine does and doesn’t
do. Curr Opin Pharmacol 7(1), 69-76 (2007)
DOI: 10.1016/j.coph.2006.11.003
45. M Lenoir, F Serre, L Cantin, SH Ahmed:
Intense sweetness surpasses cocaine
reward. PloS One 2(8), e698 (2007)
DOI: 10.1371/journal.pone.0000698
Sugar’s impact on the body, brain, and behavior
2264 © 1996-2018
46. P Rada, NM Avena, GB Hoebel: Daily
bingeing on sugar repeatedly releases
dopamine in the accumbens shell.
Neuroscience, 134, 737–744 (2005)
DOI: 10.1016/j.neuroscience.2005.04.043
47. GF Koob, ND Volkow: Neurocircuitry of
addiction. Neuropsychopharmacology 35(1),
217-238 (2010)
DOI: 10.1038/npp.2009.110
48. C Colantuoni, J Schwenker, J Mccarthy, P
Rada, B Ladenheim, JL Cadet, GJ Schwartz,
TH Moran, BG Hoebel: Excessive sugar
intake alters binding to dopamine and mu-
opioid receptors in the brain. Neuroreport
12(16), 3549-3552 (2001)
DOI: 10.1097/00001756-200111160-00035
49. ND Volkow, RA Wise: How can drug
addiction help us understand obesity? Nat
Neurosci 8(5), 555–560 (2005)
DOI: 10.1038/nn1452
50. R Spangler, KM Wittkowski, NL Goddard, NM
Avena, BG Hoebel, SF Leibowitz: Opiate-
like effects of sugar on gene expression in
reward areas of the rat brain. Mol Brain Res
124(2), 134-142 (2004)
DOI: 10.1016/j.molbrainres.2004.02.013
51. LA Guercio, HD Schmidt, RC Pierce: Deep
brain stimulation of the nucleus accumbens
shell attenuates cue-induced reinstatement
of both cocaine and sucrose seeking in rats.
Behav Brain Res 281, 125-130 (2015)
DOI: 10.1016/j.bbr.2014.12.025
52. JL Fortuna: Sweet preference, sugar
addiction and the familial history of alcohol
dependence: shared neural pathways and
genes. J Psychoactive Drugs 42(2), 147-151
(2010)
DOI: 10.1080/02791072.2010.10400687
53. AB Kampov-Polevoy, D Ziedonis, ML
Steinberg, I Pinsky, J Krejci, C Eick, FT Crews:
Association between sweet preference and
paternal history of alcoholism in psychiatric
and substance abuse patients. Alc Clin Exp
Res 27(12), 1929-1936 (2003)
DOI: 10.1097/01.
ALC.0000099265.60216.23
54. JL Treur, DI Boomsma, L Ligthart, G
Willemsen, JM Vink: Heritability of high
sugar consumption through drinks and the
genetic correlation with substance use. Am
J Clin Nutr 104(4), 1144-1150 (2016)
DOI: 10.3945/ajcn.115.127324
55. ND Volkow, GJ Wang, JS Fowler, D Tomasi,
R Baler, AJS Fowler: Food and Drug Reward:
Overlapping Circuits in Human Obesity and
Addiction. Curr Topics Behav Neurosci 11,
1–24 (2012)
DOI: 10.1007/7854_2011_169
56. N Carlier, VS Marshe, J Cmorejova, C Davis,
DJ Müller: Genetic similarities between
compulsive overeating and addiction
phenotypes: A case for “food addiction”?.
Curr psychiatry Rep 17(12), 96 (2015)
DOI: 10.1007/s11920-015-0634-5
57. H Ziauddeen, IS Farooqi, PC Fletcher:
Obesity and the brain: how convincing is the
addiction model? Nat Rev Neurosci 13(4),
279 (2012)
DOI: 10.1038/nrn3212
58. MA Joyner, AN Gearhardt, MA White: Food
craving as a mediator between addictive-like
eating and problematic eating outcomes.
Eat Behav 19, 98-101 (2015)
DOI: 10.1016/j.eatbeh.2015.07.005
59. AM Jastreboff, R Sinha, J Arora, C Giannini,
J Kubat, S Malik, MA Van Name, N Santoro,
M Savoye, EJ Duran, B Pierpont, G Cline,
RT Constable, RS Sherwin, S Caprio:
Altered brain response to drinking glucose
and fructose in obese adolescents. Diabetes
65(7), 1929–1939 (2016)
DOI: 10.2337/db15-1216
60. GJ Wang, D Tomasi, A Convit, J Logan, CT
Wong, E Shumay, JS Fowler, ND Volkow:
BMI modulates calorie-dependent dopamine
changes in accumbens from glucose intake.
PLoS ONE 9(7), 7–10 (2014)
DOI: 10.1371/journal.pone.0101585
61. JE Beilharz, J Maniam, MJ Morris: Diet-
Induced Cognitive Decits: The Role of
Fat and Sugar, Potential Mechanisms and
Nutritional Interventions. Nutrients 7(8),
6719–6738 (2015)
DOI: 10.3390/nu7085307
62. MC Cervenka, S Hocker, M Koenig, B Bar,
B Henry-Barron, EH Kossoff, EC Hagen:
Phase I/II multicenter ketogenic diet study
for adult superrefractory status epilepticus.
Neurology 88(10), 938-943 (2017)
DOI: 10.1212/WNL.0000000000003690
63. CB Henderson, FM Filloux, SC Alder, JL
Lyon, DA Caplin: Efcacy of the ketogenic
diet as a treatment option for epilepsy: meta-
analysis. J Child Neurol 21(3),193–8 (2006)
Sugar’s impact on the body, brain, and behavior
2265 © 1996-2018
64. RG Levy, PN Cooper, P Giri, J Weston:
Ketogenic diet and other dietary treatments
for epilepsy. Cochrane Database Syst Rev
3 (2012)
65. T Hallböök, J Lundgren, I Rosén: Ketogenic
Diet Improves Sleep Quality in Children
with Therapy‐resistant Epilepsy. Epilepsia
48(1), 59-65 (2007)
DOI: 10.1111/j.1528-1167.2006.00834.x
66. SS Likhodii, I Serbanescu, MA Cortez,
P Murphy, OC Snead III, WM Burnham:
Anticonvulsant properties of acetone, a
brain ketone elevated by the ketogenic diet.
Ann Neurol 54(2), 219–26 (2003)
DOI: 10.1002/ana.10634
67. ST Henderson, JL Vogel, LJ Barr, F Garvin,
JJ Jones, LC Costantini: Study of the
ketogenic agent AC-1202 in mild to moderate
Alzheimer’s disease: a randomized, double-
blind, placebo-controlled, multicenter trial.
Nutr Metab 6(1), 1 (2009)
DOI: 10.1186/1743-7075-6-31
68. T Vanitallie, C Nonas, A Di Rocco, K
Boyar, K Hyams, S Heymseld: Treatment
of Parkinson disease with diet-induced
hyperketonemia: a feasibility study.
Neurology 64(4), 728–30 (2005)
DOI: 10.1212/01.WNL.0000152046.11390.45
69. EC Bostock, KC Kirkby, BV Taylor: The
Current Status of the Ketogenic Diet in
Psychiatry. Front psychiatry 8, 43 (2017)
DOI: 10.3389/fpsyt.2017.00043
70. NM Avena, P Rada, BG Hoebel: Sugar and
fat bingeing have notable differences in
addictive-like behavior. J. Nutr. 139(3), 623–
8 (2009)
DOI: 10.3945/jn.108.097584
71. CR Markus, PJ Rogers, F Brouns, R
Schepers: Eating dependence and weight
gain; no human evidence for a sugar-
addiction model of overweight. Appetite 114,
64–72 (2017)
DOI: 10.1016/j.appet.2017.03.024
72. PM Johnson, PJ Kenny: Addiction-like
reward dysfunction and compulsive eating in
obese rats: Role for dopamine D2 receptors.
Nat Neurosci 13(5), 635–641 (2010)
DOI: 10.1038/nn.2519
73. EM Schulte, NM Avena, AN Gearhardt:
Which foods may be addictive? The roles of
processing, fat content, and glycemic load.
PLoS ONE 10(2), 1–18 (2015)
DOI: 10.1371/journal.pone.0117959
74. ED Sonnenburg, JL Sonnenburg: Starving our
microbial self: the deleterious consequences
of a diet decient in microbiota-accessible
carbohydrates. Cell metabolism 20(5), 779-
786 (2014)
DOI: 10.1016/j.cmet.2014.07.003
75. G den Besten, K van Eunen, AK Groen, K
Venema, DJ Reijngoud, BM Bakker: The
role of short-chain fatty acids in the interplay
between diet, gut microbiota, and host
energy metabolism. J Lipid Res 54(9), 2325-
2340 (2013)
DOI: 10.1194/jlr.R036012
76. MM Kaczmarczyk, MJ Miller, GG Freund:
The health benets of dietary ber: beyond
the usual suspects of type 2 diabetes
mellitus, cardiovascular disease and colon
cancer. Metabolism 61(8), 1058-1066 (2012)
DOI: 10.1016/j.metabol.2012.01.017
77. BE Goodman: Insights into digestion and
absorption of major nutrients in humans.
Adv Physiol Educ 34(2), 44-53 (2010)
DOI: 10.1152/advan.00094.2009
78. E Sherwin, KV Sandhu, TG Dinan, JF Cryan:
May the force be with you: the light and dark
sides of the microbiota–gut–brain axis in
neuropsychiatry. CNS drugs 30(11), 1019-
1041 (2016)
DOI: 10.1007/s40263-016-0370-3
79. V Tremaroli, F Bäckhed: Functional
interactions between the gut microbiota and
host metabolism. Nature 489(7415), 242-
249 (2012)
DOI: 10.1038/nature11552
80. CJ Yu, JC Du, HC Chiou, CC Feng, MY
Chung, W Yang, ML Chen: Sugar-sweetened
beverage consumption is adversely
associated with childhood attention decit/
hyperactivity disorder. Intl J Environ Res
Public Health 13(7), 678 (2016)
DOI: 10.3390/ijerph13070678
81. AA Prather, CW Leung, NE Adler, L Ritchie,
B Laraia, ES Epel: Short and sweet:
Associations between self-reported sleep
duration and sugar-sweetened beverage
consumption among adults in the United
States. Sleep Health 2(4), 272-276 (2016)
DOI: 10.1016/j.sleh.2016.09.007
Sugar’s impact on the body, brain, and behavior
2266 © 1996-2018
Note: 1 Interestingly, rats with 24-hour access to
sugar do not become addicted, perhaps because
free-access prevents the cycle of bingeing,
withdrawal, and craving (Avena, 2008).
Key Words: Sugar, Addiction, Brain, Eating
Behavior, Review
Send correspondence to: Gene-Jack
Wang, National Institute on Alcohol Abuse
and Alcoholism, Laboratory of Neuroimaging,
National Institutes of Health, 10 Center Drive,
Room B2L124, Bethesda, MD, 20892, USA, Tel:
301-496-5012, Fax: 301-496-5568, E-mail: gene-
jack.wang@nih.gov