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Time-Restricted Feeding Is a Preventative and Therapeutic Intervention against Diverse Nutritional Challenges

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Because current therapeutics for obesity are limited and only offer modest improvements, novel interventions are needed. Preventing obesity with time-restricted feeding (TRF; 8-9 hr food access in the active phase) is promising, yet its therapeutic applicability against preexisting obesity, diverse dietary conditions, and less stringent eating patterns is unknown. Here we tested TRF in mice under diverse nutritional challenges. We show that TRF attenuated metabolic diseases arising from a variety of obesogenic diets, and that benefits were proportional to the fasting duration. Furthermore, protective effects were maintained even when TRF was temporarily interrupted by ad libitum access to food during weekends, a regimen particularly relevant to human lifestyle. Finally, TRF stabilized and reversed the progression of metabolic diseases in mice with preexisting obesity and type II diabetes. We establish clinically relevant parameters of TRF for preventing and treating obesity and metabolic disorders, including type II diabetes, hepatic steatosis, and hypercholesterolemia. Copyright © 2014 Elsevier Inc. All rights reserved.
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Cell Metabolism
Article
Time-Restricted Feeding Is a Preventative
and Therapeutic Intervention
against Diverse Nutritional Challenges
Amandine Chaix,
1
Amir Zarrinpar,
1,2
Phuong Miu,
1
and Satchidananda Panda
1,
*
1
Salk Institute for Biological Studies, La Jolla, CA 92037, USA
2
Division of Gastroenterology, University of California, San Diego, La Jolla, CA 92093, USA
*Correspondence: satchin@salk.edu
http://dx.doi.org/10.1016/j.cmet.2014.11.001
SUMMARY
Because current therapeutics for obesity are limited
and only offer modest improvements, novel inter-
ventions are needed. Preventing obesity with time-
restricted feeding (TRF; 8–9 hr food access in the
active phase) is promising, yet its therapeutic appli-
cability against preexisting obesity, diverse dietary
conditions, and less stringent eating patterns is un-
known. Here we tested TRF in mice under diverse
nutritional challenges. We show that TRF attenuated
metabolic diseases arising from a variety of obeso-
genic diets, and that benefits were proportional to
the fasting duration. Furthermore, protective effects
were maintained even when TRF was temporarily
interrupted by ad libitum access to food during
weekends, a regimen particularly relevant to human
lifestyle. Finally, TRF stabilized and reversed the
progression of metabolic diseases in mice with pre-
existing obesity and type II diabetes. We establish
clinically relevant parameters of TRF for preventing
and treating obesity and metabolic disorders, in-
cluding type II diabetes, hepatic steatosis, and hy-
percholesterolemia.
INTRODUCTION
Obesity is a major risk factor for a spectrum of diseases including
type II diabetes, nonalcoholic fatty liver disease, cardiovascular
disease, and cancer. The incidence of obesity is on the increase
and, although the driving causes are multifactorial, nutritional
imbalance is a major contributor (Pontzer et al., 2012; Swinburn
et al., 2011). Murine models have been invaluable in understand-
ing the mechanisms of nutrient homeostasis and the conse-
quences of nutrient imbalance, and as discovery platforms for
pharmacological and behavioral interventions. Ad libitum access
to a high-fat diet (HFD) in mice causes obesity, insulin resistance,
hepatic steatosis, hypercholesterolemia, and dyslipidemia (Wang
and Liao, 2012). Ad libitum access to high-fructose diet (Fr diet)
on the other hand does not cause marked increase in adiposity,
yet leads to glucose intolerance and hepatic steatosis (Mellor
et al., 2011; Samuel, 2011; Tetri et al., 2008).
Diseases like obesity, arising from nutrient imbalance or
excess, are often accompanied by disruptions of multiple path-
ways in different organ systems. For example, the regulation of
glucose, lipids, cholesterol, and amino acids (aa) homeostasis
involves the liver, white adipose tissue (WAT), brown adipose tis-
sue (BAT), and muscle. In each tissue, nutrient homeostasis is
maintained by balancing energy storage and energy utilization.
Pharmacological agents directed against specific targets effec-
tively treat certain aspects of this homeostatic imbalance. How-
ever, treating one aspect of a metabolic disease sometimes
worsens other symptoms (e.g., increased adiposity seen with in-
sulin sensitizers), and beneficial effects are often short lived (e.g.,
sulfonylureas) (Bray and Ryan, 2014). Furthermore, recent
studies have shown that early perturbation of nutrient homeosta-
sis can cause epigenetic changes that predispose an individual
to metabolic diseases later in life (Hanley et al., 2010). Hence,
finding interventions that impact multiple organ systems and
can reverse existing disease will likely be more potent in com-
bating the pleiotropic effect of nutrient imbalance.
Lifestyle interventions, including changes in diet, reduced
caloric intake, and increased exercise, have been the first-line
therapy in efforts to combat obesity and metabolic diseases.
However, these lifestyle changes require constant attention to
nutrient quality and quantity and physical activity. Their success
has been limited to a small percentage of individuals (Anderson
et al., 2001). Hence, novel interventions are urgently needed.
Temporal regulation of feeding offers an innovative strategy to
prevent and treat obesity and associated metabolic diseases
(Longo and Mattson, 2014). Recent discoveries have shown
that many metabolic pathways, including current pharmacolog-
ical targets, have diurnal rhythms (Gamble et al., 2014; Panda
et al., 2002). It is hypothesized that under normal healthy condi-
tions the cyclical expression of metabolic regulators coordinates
a wide range of cellular processes for more efficient metabolism.
In HFD-induced obesity, such temporal regulation is blunted
(Kohsaka et al., 2007). Tonic activation or inhibition of a meta-
bolic pathway, as is the case with pharmacological therapy,
cannot restore normal rhythmic activity pattern. Therefore, inter-
ventions that restore diurnal regulation in multiple pathways and
tissue types might be effective in countering the pleiotropic ef-
fect of nutrient imbalance.
Gene expression and metabolomics profiling, as well as tar-
geted assay of multiple metabolic regulators, have revealed that
a defined daily period of feeding and fasting is a dominant deter-
minant of diurnal rhythms in metabolic pathways (Adamovich
Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc. 991
et al., 2014; Barclay et al., 2012; Bray et al., 2010; Eckel-Mahan
et al., 2012; Vollmers et al., 2009). Accordingly, early introduction
of time-restricted feeding (TRF), where access to food is limited
to 8 hr during the active phase, prevents the adverse effects of
HFD-induced metabolic diseases without altering caloric intake
or nutrient composition (Hatori et al., 2012). However, it is unclear
whether TRF (i) is effective against other nutritional challenges, (ii)
can be used to treat existing obesity, (iii) has a legacy effect after
cessation, and (iv) can be adapted to different lifestyles. In lieu of
the metabolic imprinting that renders mice susceptibleto disease
later in life, the therapeutic effect of TRF on preexisting diet-
induced obesity (DIO) remained to be explored. The effectiveness
of TRF as a single 8 hr feeding duration prompts exploration of the
temporal window of food access that would still be effective
against nutrition challenge. This is important before any human
study can commence, given the incompatibility of an 8 hr
restricted diet with a modern work schedule. Additionally, a
change in eating pattern between weekday and weekend even
when the mice are fed a standard diet has been suggested to
contribute to obesity and metabolic diseases. This intimates
that occasional deviation from TRF might exacerbate the disease.
Addressing these questions is fundamental to elucidate the ef-
fectiveness and limitations of TRF and will offer novel insight
into the relative role of eating pattern and nutrition on metabolic
homeostasis.
This comprehensive study investigates the effectiveness of
TRF against different nutritional challenges including high-fat,
high-fructose, and high-fat-plus-high-fructose diets, all of which
have been shown to cause dysmetabolism. We varied the dura-
tion of food access to characterize the temporal boundaries
within which TRF benefits persist. We also evaluated both the
therapeutic and legacy effects of TRF when interrupted by pe-
riods of unlimited access to energy-dense food. Results indicate
pleiotropic beneficial effects of TRF that can prevent and alle-
viate multiple adverse effects of nutrient imbalance, and the ben-
efits were proportional to the duration of fasting. Finally, and
most importantly from a translational perspective for obese hu-
mans, TRF reversed obesity and metabolic disease and can
potentially serve as an additional therapeutic intervention in the
arsenal against this pandemic.
RESULTS
TRF Protects against Excessive Body Weight Gain
without Affecting Caloric Intake Irrespective of Diet,
Time Schedule, or Initial Body Weight
To evaluate the effectiveness of TRF against different diet
types, eating patterns, and existing obesity, we subjected 392
12-week-old male wild-type C57BL/6J mice to different feeding
regimens. Detailed description of the study design (e.g., diet
composition, mouse number and age, lengths of the experi-
ments, etc.) can be found in the Supplemental Experimental Pro-
cedures (available online) and in Figures 1 and S1 and Tables S1
and S2. Numerical values associated with body weight and food
consumption can be found in Table S3.
Because increased fructose consumption is implicated in the
obesity pandemic (Stanhope, 2012), and its metabolic regulation
is different from that of glucose (Mayes, 1993; Samuel, 2011), we
subjected mice to ad libitum feeding (ALF) or TRF of a high-fat-
plus-high-sucrose diet (FS diet; 25% energy from sucrose,
32% from fat; Table S1). Mice fed an FS diet ad libitum (FSA)
consumed the same amount of calories as mice fed within a
9 hr window of the dark phase (FST) (Figure S2A, i), yet the
FST mice gained less body weight over a 12-week period
(21% compared to 42% for FSA mice; Figure 2A, i). When
mice were instead fed an Fr diet (60% energy from fructose,
13% from fat; Table S1), both ALF mice (FrA) and TRF mice
(FrT) showed a 6% increase in body weight, which was similar
to mice fed a normal chow (NC) diet (Figure S2B, i). Hence,
TRF effectively attenuated body weight gain in mice fed diets
rich in fat and sucrose.
To test if longer durations of TRF are effective in preventing
body weight gain (Hatori et al., 2012), mice were allowed access
to a HFD (62% energy from fat; Table S1) for 9 hr, 12 hr, or 15 hr
(Figure 1B). Food consumption was equivalent in the four condi-
tions (Figure S2A, ii and iii). Longer daily HFD feeding times re-
sulted in larger increases in body weight. For example, a 26%
gain was seen for 9 hr TRF (9hFT), whereas a 43% gain was
seen for 15 hr TRF (15hFT). Mice fed ad libitum (FA) gained
65% under these conditions (Figure 2A, ii and iii).
To test whether TRF has a lasting effect that can override
occasional interruptions or consistent ALF (legacy effect) (Fig-
ure 1C), mice were alternated between TRF and ALF in three
crossover experiments. First, mice were alternated between
5 days of TRF (weekdays) and 2 days of ALF (weekends) for
12 weeks (5T2A). The legacy effect of TRF over this time scale
was remarkable, with only 29% body weight gain (Figure 2A, ii)
for 5T2A mice compared to 61% weight gain for FA mice (food
consumption was isocaloric compared to all other feeding
groups; Figure S2A, ii).
Next we tested the legacy effect of TRF over an extended
period of time. Mice were maintained on TRF for 13 weeks and
then switched to ALF for 12 weeks (13:12 FTA mice, which we
call the short-term study; Figure S1, v). The 13:12 FTA mice
gained weight rapidly after the transfer to ALF and at the end
of the study weighed as much as mice maintained on HFD ad li-
bitum (FAA) for the entire 25 weeks (112% and 111% body
weight gain, respectively). In contrast, the control group, which
was maintained on TRF throughout the 25 weeks (FTT mice), ex-
hibited a 51% body weight increase (Figure S2C). In another
study, mice were subjected to 26 weeks of TRF and were then
transferred to ALF for 12 weeks (26:12 FTA mice, which we call
the long-term study; Figure S1, vi). Similar to the short-term
study, the 26:12 FTA mice quickly increased body weight after
the switch to ALF. However, weights of these mice stabilized
at approximately 48.5 g or a 106% body weight increase (Fig-
ure 2A, iv), which was significantly less than seen with the
26:12 FAA mice (157% increase in weight; Figure 2A, iv).
Finally, to investigate the therapeutic potential of TRF, we
tested whether TRF could reverse or arrest body weight gain in
preexisting DIO, as observed in FA mice (Figure 1D). In both
short-term (13:12) and long-term (26:12) studies, a subset of
FA mice was switched to the TRF paradigm (FAT). Within a few
days the mice were habituated to the new feeding paradigm
and continued to consume equivalent calories (Figure S2A, iv).
The 13:12 FAT mice showed a modest drop in body weight
(40 g to 38 g) and maintained this new body weight until the
end of the study, at which point their weight was not statistically
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992 Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc.
different from FTT mice (Figure S2C). Similarly, the 26:12 FAT
mice exhibited some body weight loss (12%; 53.7 g to 47.5 g)
and maintained the new baseline weight until the end of the study
(Figure 2A, iv). Transferring the mice from ALF to TRF resulted in
a 5% body weight loss from the time of crossover (FAT),
compared to a 24.8% weight gain for mice maintained in ad libi-
tum conditions (FAA) during the entire 13:12 crossover study. In
the 26:12 crossover study, FAT mice lost 12% of their body
weight after crossover, which was significantly different than
the 10.6% body weight gain for FAA mice.
In summary, these experiments revealed that TRF efficiently
protected against body weight gain when animals were sub-
jected to diverse nutritional challenges and diverse feeding
schedules. TRF also promoted weight loss and efficient weight
A
B
C
D
Figure 1. Experimental Design
(A–D) Schematic representation of the feeding
groups used in this study. The diet, the food access
interval, and the lighting schedule are shown. The
color code and abbreviations are indicated. Leg-
ends show the four diets used in this study. See
also Supplemental Experimental Procedures for
details.
stabilization when used as a therapeutic
intervention on preexisting DIO.
TRF Reduces Whole-Body Fat
Accumulation and Associated
Inflammation
Whole-body composition of the mice (see
Table S3 for detailed numerical values)
was determined at the end of the feeding
experiment using a small animal MRI (see
Experimental Procedures). Differences in
fat mass accounted for differences in total
body weight (Figure 2B), whereas each
experimental cohort had a comparable
lean mass. Compared to ad libitum-fed
mice FS or Fr diets (FSA or FrA), mice on
TRF (FST or FrT) exhibited reduced levels
of fat mass (62% and 26% less, respec-
tively; Figure 2C, i, and Figure S2B, iv).
Increasing the duration of access to HFD
from 9 hr to 12 hr or 15 hr resulted in a
linear increase in the percentage of fat
mass. The percent fat mass reduction
compared to ALF mice was 57% for
9 hr, 49.3% for 12 hr, and 43.3% for
15 hr (linear regression; r
2
= 0.993; Fig-
ure 2C, ii and iii). Based on this trend,
mice fed a HFD ad libitum (FA) should
have had 22% less fat than was
measured, suggesting that up to 15 hr of
TRF protects against excess body fat
accumulation while on a HFD.
Mice subjected to the 5T2A paradigm
(alternating between 5 days of TRF and
2 days of ALF) had 48% less fat than FA
mice, and were not significantly different from mice on chronic
TRF (9hFT or 12hFT; Figure 2C, ii). In the 26:12 FTA and 26:12
FAT groups, mice stabilized at a similar body fat content
(32%), which was about 43% less fat content than FAA mice
(Figure 2C, iv). Interestingly, mice fed NC TRF (NTT) during the
10-month crossover study were also protected from fat accumu-
lation. Transferring mice from NC ALF to NC TRF (NAT) reduced
the percentage of fat by 55%, and mice switched to ALF after
26 weeks on TRF (NTA) had 55% less fat than mice maintained
on NC ad libitum (NAA; Figure 2C, iv).
The reduction in whole-body fat content under TRF was visible
in histological examinations of adipose tissues. H&E-stained
sections of WAT revealed smaller lipid droplets in TRF mice
compared to ALF (Figure 3A). Moreover, large unilocular fat
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Therapeutic Effect of Time-Restricted Feeding
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droplets accumulated in BAT of ALF mice, whereas these
droplets were almost absent in TRF mice (Figure 3A). Serum
adipokine levels correlate with the amount of total body fat. As
expected, serum leptin levels were lower in all mice on TRF
compared to ALF (Figures 3B and S3A), whereas adiponectin
levels were higher in all TRF animals (Figure S3A). Notably, leptin
was almost undetectable in mice fed a NC diet (Figure S3A, iii).
In the DIO model, the accumulation of fat in adipose tissue
has been associated with higher inflammation (Glass and Olef-
sky, 2012). Accordingly, H&E-stained sections of WAT showed
characteristic crown-like structures in ALF mice that were ab-
sent in TRF mice (Figure 3A, arrowheads). In addition, mRNA
levels of proinflammatory cytokines TNFa, IL1b, and the proin-
flammatory chemokine Ccl8/Mcp2 in WAT and BAT indicated
the absence of inflammation in adipose tissue of mice on TRF
(Figure 3C).
Obesity and lipid overload is often accompanied by a patho-
logical accumulation of triglycerides in the liver, known as hepat-
ic steatosis. Indeed, H&E-stained liver sections revealed fat
droplet accumulation in all mice fed HFD/FS diets ad libitum.
A
B
C
Figure 2. Time-Restricted Feeding Prevents and Reverses Body Weight Gain upon Different Nutritional Challenges
(A) Body weight curve for each experimental cohort (see Figures 1,S1, and Experimental Procedures for cohort description). The number of mice (n) analyzed per
group was (i and ii) n = 16, (iii) n = 12, and (iv) n = 32 then 16.
(B and C) (B) Body composition of mice in each feeding group at the end of the study, and corresponding (C) total fat mass as a percent of total body weight. The
percentage reduction of fat mass compared to ad libitum-fed controls is indicated. (i and ii) n = 4 and (iii and iv) n = 8.
Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001 versus all other groups or versus the ad libitum-fed control group as indicated.
Cell Metabolism
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994 Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc.
A
B
C
D
E
Figure 3. Time-Restricted Feeding Reduces Whole-Body Fat Accumulation and Associated Inflammation
(A) Representative H&E-stained histological sections of epididymal white adipose tissue (eWAT; upper panels) and brown adipose tissue (BAT; lower panels) in
the different feeding conditions, as indicated. Arrowheads point to crown structures.
(B) Serum leptin concentration. The number of mice (n) analyzed per group was (i) n = 10, (ii) n = 8, (iii) n = 6, and (iv) n = 7.
(C) Quantitative polymerase chain reaction (qPCR) analysis of selected proinflammatory cytokines (TN Fa,IL10, IL 1) and chemokine (Ccl8) mRNA expression in (i)
eWAT and (ii) BAT. n = pool of 6–8 samples per feeding group. See Experimental Procedures for details.
(D) Hepatic triglyceride content. (i) n = 6, (ii–iv) n = 12.
(E) Serum triglyceride concentration. (i) n = 10, (ii–iv) n = 6.
Data are presented as mean ± SEM, t test, *p < 0.05, **p < 0.01, ***p < 0.001.
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Lipid droplets were reduced or not apparent in mice maintained
on TRF regimens (Figure S3B). Total triglycerides in the liver were
significantly reduced in all mice given HFD/FS diets via TRF
compared to their ALF counterparts (Figure 3D). For mice fed a
HFD, both 9hTRF and intermittent TRF (the 5T2A paradigm)
were protective against hepatic steatosis, with at least 70%
reduction in liver triglycerides (72% reduction in 9hFT, 80% in
5T2A, 74% in FTT; both short- and long-term intervention
studies). The FS diet induced a milder fatty liver than did the
60% HFD. Nonetheless, triglycerides accumulation was reduced
by 53% in FST mice compared to ad libitum counterparts.
Finally, switching mice to TRF stopped further accumulation of
triglycerides in the liver highlighting the potential of TRF as an
effective intervention against fatty liver disease. Hepatic steato-
sis can be associated with defective liver function, and elevated
serum activity of alanine transaminase is a marker for hepatocel-
lular damage. We detected higher levels of alanine transaminase
activity in the serum of mice given HFD/FS diets via ALF com-
pared to their TRF counterparts (Figure S3C).
Elevated serum triglycerides reflect whole-body lipid imbal-
ance. Biochemical quantification of serum triglycerides revealed
hyperlipidemia in FA mice after 12 weeks of feeding that was
normalized in mice experiencing TRF (9hFT, 12hFT, or 5T2A; Fig-
ure 3E, ii). Interestingly, the FA feeding group was able to regu-
late serum triglyceride levels in a shorter experiment (Figure 3E,
iii). Serum triglyceride levels were also unchanged upon ALF or
TRF when mice were fed a less fatty diet, namely FS or NC (Fig-
ure 3E, i and iii). After 6 months of a HFD, serum triglyceride le-
vels trended lower in mice maintained on TRF (FTT, 200 mg/dl)
or crossed-over mice (FAT, 214 mg/dl; FTA, 252 mg/dl) than in
their ALF counterparts (FAA, 300 mg/dl), although these results
were not significantly different (Figure 3E, iv).
To summarize, TRF prevented and reversed adiposity associ-
ated with obesogenic diets. It protected against fat accumula-
tion in both adipose tissues and noncanonical fat-laden organs.
Correspondingly, a reduction in adipose tissue inflammation and
altered adipokine levels were observed.
TRF Improves Glucose Tolerance and Reduces
Insulin Resistance
Because TRF reduced fat accumulation and protected from ad-
ipose inflammation, we tested whether it could protect against
obesity-associated insulin resistance and type II diabetes. We
first analyzed fasting (16 hr) and refed (1 hr after intraperitoneal
administration of glucose) serum levels of glucose (Figure 4A)
and insulin (Figure 4B) in different cohorts. When fed NC, ALF
and TRF regimens did not affect fasting glucose levels (Figure 4A,
ii–v). Fasting glucose levels were higher in mice fed HFD com-
pared to NC, and TRF reduced average fasting blood glucose
levels in mice on HFD or FS diets (Figure 4A, i–v).
Differences in fasting/refed serum insulin levels depended on
the diet composition (Figure 4B) and the duration of food access.
For mice fed NC, fasting serum insulin concentrations were
reduced only slightly by TRF (Figure 4B, ii–v). Mice fed a FS
diet (32% fat; Figure 4B, iii) had fasting serum insulin levels
that were nonresponsive to alterations in the temporal eating
pattern. In contrast, mice fed a HFD ad libitum (FA) had elevated
fasting serum insulin levels (> 700 pg/dl) relative to mice fed NC.
In general, fasting insulin levels were reduced in all TRF mouse
groups that were fed HFD, including the 5T2A group, which
had access to a HFD during the weekend (Figure 4B, i and ii).
In short-term (13:12) and long-term (26:12) crossover studies,
FAA mice had fasting insulin levels that approached 1,500 and
4,500 pg/dl, respectively. FTT mice exhibited a nearly 5-fold
reduction in fasting insulin levels, while crossover mice with
some exposure to TRF (FAT or FTA) had fasting insulin levels
that were intermediate between those measured for FAA and
FTT (Figure 4B, iv and v). The homeostatic model assessment in-
dex of insulin resistance (HOMA-IR) confirmed higher insulin
resistance in FA mice compared to FT (Figure S4A).
Serum glucose levels 1 hr after a glucose bolus were consis-
tently lower in mice on TRF compared to their ALF counterparts
when fed any of the HFDs (FS or HFD). This effect was also seen
under alternating conditions (5T2A) or when mice were trans-
ferred to TRF after ALF (FAT, 13:12) (Figure 4A, Refed). Refed
levels of insulin were also lower in mice fed an obesogenic diet
on TRF compared to their ALF counterparts (Figure 4B, Refed).
Refed levels of insulin were similar to fasted levels when mice
were fed NC, regardless of the feeding regimen (Figure 4B,
ii–v). To confirm that the differences observed were mostly in
the fed state, we performed glucose tolerance test (GTT). All
mice subjected to a nutritional challenge (i.e., Fr, FS, or HFD)
via TRF were significantly more glucose tolerant than their
ALF counterparts (Figures 4C, 4D, and S4B). In the 13:12
short-term crossover study, we performed GTTs 4 weeks and
11 weeks after the switch. Remarkably, within 4 weeks of the
switch, the mice showed improved GTT, which was maintained
in subsequent weeks. Conversely, the switch from TRF to ALF
was accompanied by rapid deterioration in the GTT response.
The therapeutic effect on glucose homeostasis was also ob-
served in the 26:12 long-term study (Figure S4C), and further-
more, insulin tolerance test (ITT) revealed better insulin sensitivity
of FAT mice than both the FAA and FTA feeding group, although
not to the extent of the FTT mice (Figure S4D). In summary, TRF
improved glucose homeostasis and reduced insulin resistance
under multiple nutrition challenges that are representative of
modern human diets. Most notably, TRF reversed previously es-
tablished glucose intolerance induced by DIO.
TRF Improves Nutrient Homeostasis
Increased healthspan is often reflected in improved endurance
and motor coordination. Mice on TRF showed better coordina-
tion on an accelerating rotarod that did not correlate with body
weight. All groups of mice performed significantly better than
mice maintained on a HFD ad libitum (FAA) (pairwise compari-
sons; Figure 5A). To assess metabolic fitness at the organismal
level, mice were tested for performance on a treadmill during
their active period (dark phase, ZT15–18). Using the treadmill
run-to-exhaustion protocol (Narkar et al., 2008), mice fed NC
ad libitum (NA), which represents standard mouse husbandry,
ran for 77 ± 8 min, whereas mice fed a HFD ad libitum (FA), which
represents the DIO model, were exhausted after 50.2 ± 4.7 min.
Mice in the 12hFT group ran for 73.3 ± 3.3 min, which was similar
to NA mice (Figure 5B). Surprisingly, 9hFT mice and 5T2A mice
ran for 141.3 ± 4.6 min and 122.7 ± 9.2 min, respectively, far
exceeding the endurance of NA mice of equivalent body weight.
Additional endurance tests on mice fed the FS diet or mice in
crossover studies also revealed that mice on TRF consistently
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996 Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc.
showed significantly improved endurance compared to ALF co-
horts (Figure 5B). Importantly, there was a therapeutic effect of
long-term TRF with FAT mice performing as well as FTT mice,
and a trend toward a legacy effect in the FTA group.
The beneficial effects of TRF observed in these two fitness
assays did not simply result from greater muscle strength, as
all groups performed comparably in a forelimb muscle strength
test (Figure S5A), nor from differences in spontaneous diurnal
activity, as the day/night and total home cage activity was equiv-
alent between mice fed NC or HFD under different feeding
paradigms (Figure S5B). A difference in muscle physiology itself
could account for the observed differences. H&E-stained
ABCD
Figure 4. Time-Restricted Feeding Improves Glucose Tolerance and Reduces Insulin Resistance
(A and B) (A) Serum glucose concentration in the different experimental groups (vertical panels, A, i–A, iv) and corresponding (B) serum insulin concentration (B, i)–
(B, iv) in fasted (ZT22–ZT38) and refed animals (1 hr after glucose intraperitoneal injection [1 mg/g BW] at ZT37). For each condition, 4–10 mice were analyzed.
(C and D) (C) Glucose tolerance tests (GTT) in the different experimental groups and corresponding (D) area under the curve (AUC). Eight mice per group were
analyzed.
Data are presented as mean ± SEM, t test, *p < 0.05, **p < 0.01, ***p < 0.001.
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A
C
DE
B
Figure 5. Time-Restricted Feeding Improves Nutrient Homeostasis
(A) Time on an accelerated rotarod (n = 6 mice per group).
(B) Time on a treadmill during a run-to-exhaustion assay. Each dot represents one mouse.
(C) Schematic (i) and qPCR analysis of lipid metabolism genes Acaca,Fasn,Ppgc1a,Pparg,Pcx,Elovl3, and Elovl5 mRNA expression in BAT (ii), eWAT (iii), and
liver (iv). n = pool of 6–8 samples per group.
(legend continued on next page)
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transversal sections of the gastrocnemius and soleus muscles
did not reveal gross differences in muscle fiber size (Figure S5C),
and Cox staining did not reveal obvious differences in fiber-type
composition (Figure S5C). Furthermore, glycogen content of the
muscle did not seem to be a limiting factor, as glycogen content
of mice fed ad libitum (FAA and FTA) was higher than mice on
TRF (FTT and FAT) (Figure S5D). We postulate that increased
healthspan of mice on TRF likely reflects better metabolic re-
sponses to mobilize energy stores (Martin-Montalvo et al., 2013).
Long-term lipid homeostasis is achieved by coordinated tran-
scriptional regulation in adipose tissues and the liver. Lipid syn-
thesis was assessed by quantifying mRNA levels of fatty acid
synthesis enzymes (Acaca and Fasn) or fatty acid elongation en-
zymes (Elovl3 and Elovl5). Lipid storage or adipocytes differenti-
ation was assessed via the transcription factor Ppargand one of
its target genes in adipose tissue, pyruvate carboxylase (Pcx).
Finally, lipid oxidation was assessed using the transcription fac-
tor Pgc1a(Figure 5C, i). The expression of Ppargwas increased
in BAT of FA mice (Figure 5C, ii), reminiscent of the ‘‘whitening’’
of the tissue observed in H&E staining (Figure 3A). In WAT, both
lipid synthesis (Acaca,Fasn,Pcx) and lipid oxidation (parallel in-
crease in Pgc1aand Pparg) were increased in all mice on TRF
compared to their ALF counterparts (Figure 5C, iii). Because
TRF affects absolute levels and temporal profiles of gene ex-
pression (Hatori et al., 2012; Vollmers et al., 2009), we examined
the expression profile of a key regulator of fat metabolism,
namely PPARg. The peak level of Ppargexpression in the liver
of ALF mice occurred during the light/inactive phase at high rela-
tive amplitude. In TRF mice, however, it peaked during the night/
active phase at nearly a fourth the amplitude (Figure 5C, iv). The
paradoxical increase in lipid synthesis gene expression in the
WAT of TRF mice may be counterbalanced by enhanced activa-
tion of the oxidative program and reduced lipid synthesis in liver
and BAT. Ppargexpression in the liver and WAT might explain
the shift to lipid storage under ALF.
We then assessed glucose homeostatic regulation in the liver
by quantifying glucose sequestration using glucokinase (Gck),
and gluconeogenesis using Pcx. In TRF mice, feeding onset
was followed by a peak of Gck expression (Figure 5D), which
likely allows glycogen synthesis during feeding. A few hours
later, toward the end of the feeding phase, glucose-6 phospha-
tase (G6pc) expression peaked (Figure 5D). In contrast, in ALF
mice, Gck expression was constitutively high, and rhythmic
transcription of G6pc was dampened and phase shifted. Gluco-
neogenesis, as revealed by Pcx expression, was also higher in
ALF-fed mice (Figure 5D). The parallel dampening of Gck and
G6pc expression along with increased expression of Pcx in
ALF mice likely perturbs glucose homeostasis.
Phosphorylation of the ribosomal protein S6 is an indicator of
protein synthesis and also a downstream output of both insulin/
Akt anabolic and AMPK catabolic pathways (Manning, 2004; Tao
et al., 2010). Both the phosphorylation of S6 and S6 expression
were blunted in ALF-fed mice (FAA and FTA), whereas S6
expression was high (FTT) and restored (FAT) upon TRF in
both muscle and liver (Figure 5E). The presence of active phos-
pho-S6 was higher during the dark/feeding phase in TRF mice
compared to ALF mice, in which phosphorylation peaked during
the light phase (Figure 5E). In conclusion, TRF improved and
restored metabolic rhythms irrespective of the diet and en-
hanced metabolic capacity. This ultimately resulted in better
fitness of mice subjected to TRF.
Quantitative and Temporal Changes in the Serum
Metabolome Reflect the Whole-Body Beneficial Effect
of TRF
Because transferring mice from ALF to TRF efficiently restored
glucose homeostasis and whole-body energetic equilibrium,
we explored the broad effect of TRF on other serum metabolites.
Serum samples from NTT, FTT, FAT, and FAA mice were
collected every 4 hr over a 24 hr period and analyzed by LC-
MS/MS and GC-MS (Evans et al., 2009). Among detectable me-
tabolites, 24% (68/278) exhibited a time-dependent effect, 59%
(164/278) were significantly affected by any of the four feeding
paradigms, and 45 metabolites (intersection of time and food)
were affected by both (two-factor ANOVA, p < 0.05) (Figure S6A,
row 1).
In a simplified analysis of serum metabolites, more than a third
(114/278, 41%) (Figure 6A) were significantly different between
TRF (NTT, FAT, FTT) and ALF (FAA) (t test, p < 0.05) (Figure S6A,
row 2; Table S4). There were 17 metabolites that were higher in
TRF than ALF, including heme and its catabolic product bili-
verdin (Figure 6A), and the dipeptide derivatives anserine and
carnosine, which have been implicated in the defense against
reactive oxygen species (Boldyrev et al., 2013;Figure 6B, i).
The 97 metabolites that were higher in ALF showed enrichment
for specific subpathways. For example, these metabolites
included 100% of the metabolites associated with the sterol/ste-
roid pathway (including cholesterol and corticosterone) (Fig-
ure 6B, iii), 78% of the metabolites in the glutathione catabolic
pathway gamma-glutamyl subpathway (Figure S6B, i), and
70% of the metabolites associated with aromatic aa metabolism.
Furthermore, known proinflammatory fatty acids (sphingolipids,
arachidonates, and derivatives) (Figure 6B, ii and Figure S6B, ii)
and lysolipids were also enriched. These data suggest that key
features that distinguish ALF and TRF mice include the control
of inflammation and oxidative stress, two well-described con-
tributors to metabolic disorders.
Circadian oscillations of serum metabolites reflect temporal
tuning of metabolic homeostasis (Dallmann et al., 2012; Eckel-
Mahan et al., 2013). Surprisingly, we observed an equivalent
percent of cycling metabolites in each group (36% in FAA,
32% in FAT, 33% in FTT, and 33% in NTT) (Table S4). We hy-
pothesized that the beneficial effect of TRF was mediated, at
least in part, by metabolites that cycle in similar phases in TRF
(D) qPCR analysis of hepatic mRNA expression of the glucose metabolism pathway genes gck,g6pase, and pcx. Results are shown as pooled throughout a
circadian time course or as a double-plotted temporal profile. n = pool of 12 samples per group for pooled data or 2 mice per time point for temporal profile.
(E) Representative scans (top) of western blots showing the temporal expression (total S6) and activation (phosphoserine 235/236) profiles of the ribosomal
protein S6 in muscle (i) and liver (ii). Levels of phospho-S6 were quantified using ImageJ from two independent mice per time point and double plotted (bottom
panels).
Data are presented as mean ± SEM, t tests, *p < 0.05, **p < 0.01, ***p < 0.001 as indicated.
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Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc. 999
AB
C
D
(legend on next page)
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1000 Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc.
regimens, but are dampened or off-phase in FAA. A total of 20
metabolites were found to cycle in the two groups of mice fed
a HFD via TRF (FTT and FAT) (Figure 6C, squared). Five metab-
olites cycled in all three TRF paradigms (namely FAT, FTT, and
NTT) (Figure 6C, circled). These metabolites were significantly
enriched (3/5 and 9/20) for aa, including four g-glutamyl aa,
three aromatic aa metabolites, and three branched-chain aa.
The majority of these aa peaked during the light/inactive phase
in TRF mice. In FA mice, their abundance was usually elevated,
and they generally lost their cyclical pattern. When a peak of
abundance was present, it happened in the opposite phase
(Figure 6D).
Hence, deep characterization of the metabolome, as well as its
temporal and dietary dependence, revealed key metabolite me-
diators of TRF benefits. It also revealed that transferring mice
from ALF to TRF very efficiently tuned some metabolites toward
a protective TRF signature, which is very different from the profile
observed in mice maintained on HFD ad libitum. Finally, it high-
lighted the broad effect of TRF on cholesterol homeostasis.
TRF Restores Cholesterol Homeostasis
Serum metabolomics from the crossover experiment indicated
consistent reduction in sterol metabolites, including cholesterol,
in TRF mice. To test whether protection from hypercholesterole-
mia is a general hallmark of TRF, we quantified serum cholesterol
levels in all cohorts. Mice fed a fat-containing diet (either HFD or
FS) on TRF had significantly lower serum cholesterol levels than
their ALF counterparts. These levels were comparable to levels
seen with NA mice (Figure 7A). Cholesterol levels in FTA mice
were unique in that after the ALF part of the experiment, choles-
terol levels rebounded to the same levels seen with FAA mice,
suggesting an absence of a legacy effect.
Because the liver is the major regulator of cholesterol homeo-
stasis, we measured hepatic mRNA expression of two key en-
zymes involved in de novo cholesterol biosynthesis, Sqle and
Dhcr7 (Figure 7B, i). Hepatic mRNA levels for these enzymes dis-
played diurnal variation in all cohorts. In TRF mice, however, their
expression was higher and/or phase shifted (Figure 7B, ii). In
mice experiencing both TRF and ALF (the 5T2A and FAT co-
horts), the expression profile of both enzymes shared character-
istics of FT and FA temporal regulation. Expression profiles in
mice maintained ad libitum (FAA) or switched to ad libitum after
TRF (FTA) were indistinguishable.
Despite increased expression of cholesterol anabolic en-
zymes in TRF, reduced serum cholesterol levels suggested
that its breakdown to bile acids might be enhanced. We there-
fore analyzed the expression of two enzymes at the committing
step of the classical and acidic pathway of bile acid synthesis,
Cyp7a1 and Cyp7b1, respectively (Figure 7B, i). Relative to
FAA, peak expression of Cyp7a1 was elevated in TRF groups
(FTT and FAT). For Cyp7b1, both trough and peak levels were
elevated in the TRF groups (Figure 7B, ii). Cholesterol and bile
acid metabolism enzymes are controlled by the transcription
factor Srebf1 and Srebf2. Hepatic Srebf1/2 mRNA expressions
were similar in ALF and TRF mice (Figure S7B), and both condi-
tions were devoid of a diurnal rhythm. In contrast, at the protein
level, SREBP expression was elevated in TRF mice compared to
ALF. Furthermore, the presence of the active cleaved form of
SREBP was rhythmic, with higher levels during the dark/feeding
phase in TRF mice. The total active form decreased in FTA and
further in FAA cohorts (Figure 7C, see AUC). This decline was
accompanied by a shift of peak expression into the light/fasting
phase (Figure 7C).
In summary, changes in the absolute level and the temporal
pattern of the cholesterol pathway are beneficially affected
by TRF.
DISCUSSION
Obesity is associated with multiple comorbidities including dia-
betes, heart disease, and cancer. In the United States, more
than one-third (35.7%) of adults are obese. Hence, there is an
imperative to find treatments and preventative measures against
obesity and metabolic disease. TRF is a potential behavioral
intervention. It de-emphasizes caloric intake, hence making it
an attractive and easily adoptable lifestyle modification. Restrict-
ing feeding to 8 hr of a rodent’s preferred nocturnal feeding time
protects against weight gain and associated metabolic diseases
(Hatori et al., 2012). In this study, we show that TRF exerts pleio-
tropic beneficial effects on multiple measures of metabolic
fitness under various nutritional challenges that are faced by
most modern human societies. This sets the stage for exploring
TRF in treating human obesity and dysmetabolism.
Mice fed a diet in which fat represents more than 40% of the
caloric content gained excessive body weight relative to mice
fed NC. Yet, daily TRF (9–15 hr) protected mice fed a HFD
from obesity. Weight gain was equivalent among mice on TRFs
of 8, 9, or 12 hr (Hatori et al., 2012;Figure 2). Only when mice
were subjected to 15 hr TRF was moderate obesity observed.
In other words, a daily fast of < 12 hr may not elicit a response
that is sufficient to protect against obesity. The duration of
feeding and fasting likely determine the overall anabolic and
catabolic signals needed to maintain body weight at a steady-
state value. HFD-induced obesity is associated with insulin hy-
persecretion and insulin resistance (McArdle et al., 2013; Mehran
et al., 2012; Saltiel, 2012). Because insulin itself is an anabolic
signal, reducing the feeding period likely reduces the net daily
anabolic effect of insulin on fatty acid synthesis and storage.
Figure 6. Quantitative and Temporal Changes in the Serum Metabolome Reflect the Whole-Body Beneficial Effect of Time-Restricted
Feeding
(A) Heatmap representation of 114 metabolites that exhibit a statistically significant change (p < 0.05) between the super group ‘‘TRF-fed mice’’ (NTT, FTT, FAT)
and the group ‘‘ALF-fed mice’’ (FAA). Lighting regimen is depicted in black and yellow and food access in green.
(B) Serum abundance (median normalized) of (i) carnosine, (ii) proinflammatory lipids arachidonate (AA) and docosapentaenoic acid (22:5 n6) (n6DPA), and (iii)
sterol pathway and bile acid pathway components campesterol, cholestanol, cholesterol, corticosterone, taurocholate, and taurochenodeoxycholate. Data are
presented as mean ± SEM, t tests, *p < 0.05, **p < 0.01, ***p < 0.001 as indicated.
(C) Venn diagram representation of 24 hr rhythmic serum metabolites identified by JTK_CYCLE (t < 0.05) (Hughes et al., 2010).
(D) Temporal abundance profiles of serum metabolites belonging to the indicated amino acid pathway.
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A
B
C
Figure 7. Time-Restricted Feeding Restores Cholesterol Homeostasis
(A) Serum cholesterol concentration in the different feeding groups. The number of mice (n) analyzed per group was (i) n = 10 and (ii–iv) n = 6.
(B) (i) Schematic and (ii) hepatic qPCR analysis of cholesterol and bile acids metabolism enzymes Sqle,Dhcr7,Cyp7a1, and Cyp7b1. Data are shown as a double
plot showing the temporal expression profile at different times of the day (n = 2 mice per time point per group).
(C) Representative western blots depicting the protein temporal expression profile (upper band) and activation profile (shorter cleaved form) of the sterol
regulatory element-binding protein (SREBP) in the liver. Level of active SREBP (cleaved short form) was quant ified using ImageJ from two independent mice per
time point and double plotted (right panel).
Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001 versus the ad libitum-fed control group as indicated.
Cell Metabolism
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1002 Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc.
Conversely, increasing the fasting duration supports fatty acid
utilization. Both reduced insulin signaling during fasting and
switching energy usage from glucose to fat within a few hours
of fasting likely contribute to the observed reduction in adiposity
in mice fed a HFD (FTT) to levels found in mice fed NC ad libitum
(NAA).
Mice fed NC did not show profound differences in body weight
between ALF and TRF. Nevertheless, there were other positive
consequences of TRF. In the 38-week-long TRF, mice on NC
(NAA, NTT, NAT, and NTA) exhibited equivalent body weights,
yet NTT mice had significantly more lean mass and less fat
mass than other NC cohorts (Figure S2D). Furthermore, NTT
mice were protected from mild hepatic steatosis, which is usu-
ally observed in old mice fed NC ad libitum (Jin et al., 2013). Simi-
larly, mice fed an Fr diet did not show any significant change in
body weight between ALF and TRF cohorts, yet FrT mice had
less fat mass, increased lean mass, and better glucose tolerance
relative to FrA mice (Figures S2E and S4B).
Although chronic TRF paradigms highlight the benefits of a
daily feed-fast cycle, the 5T2A paradigm, in which mice had ad
libitum access to food during the weekend, was just as effective.
Mice subjected to 5T2A did not ‘‘learn’’ a daily feed-fast behav-
ioral rhythm. Instead, during the weekend they consumed almost
equivalent calories during days and nights (Figure S2F). Yet, sur-
prisingly, the gene expression signature of 5T2A mice sacrificed
during the weekend ALF phase resembled that of TRF mice (Fig-
ures 5C, 5D, and 7B), suggesting that the weekday TRF imprints
a gene expression signature that can resist occasional changes
in the feeding pattern. However, when the mice were completely
transitioned from TRF to chronic ALF (as in the 13:12 and 26:12
mice), they gradually adopted an ALF gene expression signature,
which eventually blunted the previous beneficial effect of TRF.
Conversely, transferring mice from ALF to TRF effectively allevi-
ated the adverse health status of existing obesity. The outcome
of the crossover on body weight regulation depended on the age
at which the switch happened. When switched at 25 weeks old
(13:12 study), within 12 weeks, body weights of mice maintained
on TRF (FTT) or switched to TRF (FAT) were equivalent. At
38 weeks old (26:12 study), crossed-over mice (FTA and FAT) at-
tained a body weight that was intermediate between FAA and
FTT mice. Therefore, TRF is more effective in normalizing body
weight when adopted early in life or when there is moderate
adiposity. Nevertheless, in older mice, TRF reduced excessive
body weight by 20% and prevented further weight gain. Attaining
an ideal body weight equivalent to that observed in chronic TRF
mice might require additional interventions. In summary, TRF for
12 hr or shorter offers metabolic benefits irrespective of diet
type, so much so that even occasional ALF did not blunt the
TRF benefits. In addition, age is an important factor in TRF, as
young individuals may be more susceptible to its benefits than
older counterparts.
These different studies revealed that the benefits of TRF seem
to be directly related to adiposity. PPARg, a transcription factor
involved in lipid storage and adipocytes differentiation, appears
to play an important role. The overexpression of PPARgin WAT
of TRF mice is reminiscent of the protective role it plays by pro-
moting the development of ‘‘better-quality’’ fat tissue (Sharma
and Staels, 2007). Conversely, PPARgexpression was much
higher in BAT of ALF mice, which could explain its observed
‘‘whitening.’’ Elevated hepatic PPARgis a protective measure
to prevent serum hyperlipidemia, triglyceride accumulation in
other tissues, and associated insulin resistance (Matsusue
et al., 2003). It is unclear how the feeding pattern tunes PPARg
levels in a tissue-specific manner, as observed in our study.
Such differential regulation is unlikely to be an acute effect of
daily feeding, as PPARglevels of 5T2A livers during ALF days
were similar to those seen with FTT or FAT livers.
In addition to lipid storage, TRF has a tremendous effect on
lipid regulation itself. SREBPs are master transcription factors
involved in lipid and sterol homeostasis. Although there were
no differences in hepatic mRNA levels between ALF and TRF,
levels of the shorter, proteolytically activated form of SREBP
were higher in TRF, indicating higher activation of the pathway.
An increase in active SREBP, as well as its known target en-
zymes Cyp7a1 and Cyp7b1, in the liver of TRF mice likely re-
stores cholesterol homeostasis. Serum levels of cholesterol, its
precursor cholestanol, and its hormonal or bile acid derivatives
(corticosterone, TCA, and TCDA) were better regulated in TRF
mice (Figure 6). Importantly, protection from hypercholesterole-
mia was a hallmark of all mice experiencing TRF, independent of
the dietary challenge or the duration of feeding (Figure 7).
In addition to improving lipid and cholesterol homeostasis,
TRF had far-reaching effects on glucose and protein meta-
bolism. ALF mice showed constitutively higher activation of the
gluconeogenesis pathway, a characteristic of insulin resistance
(Figure 5D). All mice on TRF were protected against insulin resis-
tance (HOMA-IR; Figure S4A). Irrespective of adiposity, when
TRF mice were challenged with a glucose bolus they were able
to restore normoglycemia much faster than ALF mice (Figure 4C).
In mice fed a normal diet and mice on TRF, serum levels of free
aa oscillated with a daytime peak (i.e., when mice were fasting).
Accordingly, phospho-S6, an indicator of protein synthesis,
oscillated with a nighttime peak. In mice fed HFD ad libitum
(FAA), the average levels of free aa (including BCAA) were
elevated, and the peak phase was shifted by 12 hr. In addition,
the phospho-S6 peak in liver and muscle was reduced and
phase shifted by 12 hr. The FA condition desynchronized the
diurnal profile of free aa in the serum and protein synthesis path-
ways in the liver and muscle. TRF restored the temporal regula-
tion and overall levels of these pathways. This improved protein
homeostasis may contribute to the remarkable endurance ex-
hibited by TRF mice (Figures 5E and 6D; Tipton and Wolfe, 2001).
Motivated by the multifactorial improvement in diverse meta-
bolic pathways, we used metabolomics to explore the global
impact of TRF. Biomarkers for inflammation and protection
against reactive oxygen species were reduced and elevated,
respectively. The effect of TRF on both of these health-promot-
ing pathways may be important for the systemic health improve-
ments seen under TRF. For most metabolites it is unclear
whether changes in the average level or the temporal pattern
of abundance is important. However, because TRF affects me-
tabolites in a number of key pathways, this aspect of our findings
warrants further investigation.
Ultimately, our results highlight the great potential for TRF in
counteracting human obesity and its associated metabolic dis-
orders. Future work should explore the role of known metabolic
and circadian regulators in restoring the organism’s energetics
to normalcy under TRF. Furthermore, it is worth investigating
Cell Metabolism
Therapeutic Effect of Time-Restricted Feeding
Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc. 1003
whether the physiological observations found in mice apply to
humans. A large-scale randomized control trial investigating
the role of TRF would show whether it is applicable to humans.
EXPERIMENTAL PROCEDURES
Animals and Diets
All animal experiments were carried out in accordance with the guidelines of
the IACUC of the Salk Institute. C57BL/6 male mice (The Jackson Laboratory)
at 6–10 weeks of age were entrained to a 12:12 light-dark cycle with NC food
available ad libitum for 2 weeks. Then onward, mice were randomly assigned
to different feeding regimens described in detail in Supplemental Experime ntal
Procedures,Figure S1, and Table S2. Diets used in this study are an NC diet
(LabDiet-5010), a 60% HFD (TestDiet-58Y1), a high-fructose diet (Harlan-
TD.89247), and an FS diet (ResearchDiets-D12266B) (Table S1). Food intake
and body weight were monitored weekly throughout the experiments. The
food access durations were readjusted weekly to ensure isocaloric consump-
tion in all groups (± a maximum of 1 hr).
Hepatic Triglycerides Quantification
Liver powder was homogenized in isopropanol, and triglyceride concentration
was measured using an enzymatic assay (Triglycerides LiquiColor, Stanbio).
Data were normalized to liver weight.
Serum Biochemistry
Blood was obtained from fasted (ZT22–ZT38) or refed mice (1 hr after intraper-
itoneal glucose injection [1 mg/g body weight] at ZT37). Triglycerides, glucose,
and total cholesterol were measured using Thermo Scientific Infin ity Reagents.
Insulin, leptin, and adiponectin were quantified using Meso Scale Discovery
immunoassays.
GTTs and ITTs
Mice were fasted in paper bedding for 16 hr (ZT22–ZT38) or 3 hr (ZT13–16)
for GTTs or ITTs, respectively. Glucose (1 g/kg body weight) and insulin
(0.5–1 U/kg body weight) were injected intraperitonally. Blood glucose level
was measured using OneTouch Ultra glucose meter prior to injection and
several times after injection as indicated. HOMA-IR was calculated as follows:
(fasting serum insulin concentration (mU/ml)) 3(fasting blood glucose levels
(mg/dl))/(405) (Matthews et al., 1985).
RT-qPCR
RNA and cDNA were prepared, and RT-qPCR (reverse-transcription-quantita-
tive polymerase chain reaction) was performed as described (Vollmers et al.,
2009). Absolute transcript expression was calculated using the standard curve
method (using three technical replicates), normalized to 18sRNA and RPL10
expression (both of which do not show circadian- or diet-dependent changes
in mRNA levels), and finally median normalized groupwise. Primer sequences
can be found in Supplemental Experimental Procedures.
Western Blotting
Western blots were conducted as described (Vollmers et al., 2009; see Sup-
plemental Experimental Procedures for details).
Metabolome and Heatmap
Frozen serum aliquots were used for detection and relative quantification of
metabolites by Metabolon as described (Evans et al., 2009). Only metabolites
detected in at least four mice per feeding group were retained for further anal-
ysis. Data were normalized to the median expression of each metabolite.
Missing values were imputed using k-nearest neighbors. Heatma ps were con-
structed using MeV (Dana-Farber Cancer Institute). JTK was used to identify
24 hr rhythmic metabolites (Hughes et al., 2010) (period [20–28 hr], adjusted
p < 0.05). Venn diagrams were constructed using VennPlex (Cai et al., 2013).
Statistical Analyses
The Student’s test was used for pairwise comparisons, and ANOVA with post
hoc tests was used to compare to the control group. For time series, repeated-
measured ANOVA with post hoc tests was used to compare to the control
group. For examining two variables, two-way ANOVA was used. Statistics
were calculated as appropriate using Prism. Throughout all figures, data are
presented as mean ± SEM with statistical result of the statistical test, with
*p < 0.05, **p < 0.01, ***p < 0.001. Statistical significance was concluded at
p < 0.05.
SUPPLEMENTAL INFORMATION
Supplemental Information includes seven figures, four tables, and Supple-
mental Experimental Procedures and can be found with this article online at
http://dx.doi.org/10.1016/j.cmet.2014.11.001.
AUTHOR CONTRIBUTIONS
A.C. designed the study, carried out the research, analyzed and interpreted the
results, and wrote the manuscript. P.M. assisted in the research. A.Z. assisted
in the study design and reviewed the manuscript. S.P. designed the study,
analyzed the data, reviewed the manuscript, and is responsible for the integrity
of this work. All authors approved the final version of the manuscript.
ACKNOWLEDGMENTS
This work was partially supported by NIH grants DK091618-04, EY016807,
and NS066457 and AFAR grant M14322 to S.P. and funding to research cores
through NIH P30 CA014195, P30 EY019005, P50 GM085764, R24 DK080506,
Leona M. and Harry B. Helmsley Charitable Trust’s grant #2012-PG-MED002,
and the Glenn Center for Aging. A.C. was supported by a mentor-based post-
doctoral fellowship from the American Diabetes Association (7-12-MN-6 4) and
has received support from the Philippe Foundation, New York. A.Z. received
support from NIH T32 DK07202 and an AASLD Liver Scholar Award. The au-
thors would like to thank An Qi Yao, Shih-Han Huang, Seung Mi Oh, Hiep
Le, Naomi Goebel-Phipps, SAF staff, and Scott McDonnell for technical assis-
tance and input. We thank Shubhroz Gill for careful, critical, and constructive
editing of the manuscript.
Received: July 23, 2014
Revised: September 15, 2014
Accepted: October 31, 2014
Published: December 2, 2014
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Cell Metabolism
Therapeutic Effect of Time-Restricted Feeding
Cell Metabolism 20, 991–1005, December 2, 2014 ª2014 Elsevier Inc. 1005
Cell Metabolism, Volume 20
Supplemental Information
Time-Restricted Feeding Is a Preventative
and Therapeutic Intervention
against Diverse Nutritional Challenges
Amandine Chaix, Amir Zarrinpar, Phuong Miu, and Satchidananda Panda
NA
6weeks 8weeks 17weeks
15hNT
FA
15hFT
NA
10weeks 12weeks 25weeks 37weeks
FA
FT
FAA
FAT
FTT
FTA
NA
10weeks 12weeks 38weeks 50weeks
FA
FT
FAA
FAT
FTT
FTA
NA
NT
NAA
NAT
NTT
NTA
NA
NA
NA
FA
9hFT
12hFT
5T2A
10weeks 12weeks 24weeks
FSA
FST
10weeks 12weeks 24weeks
NA
10weeks 12weeks 23weeks
FrA
FrT
NA
Time%Restricted%Feeding%on%Different%Diets
N:!!!"#$%&'!()#*
FS:!!+,-!.&/!0!12-!345$#67!897/
F:!!!:,-!;9<)!.&/!897/
Fr:!!!:,-!.$45/#67!897/
Boundaries%of%Time%Restricted%Feeding%
Legacy%Effect%of%Time%Restricted%Feeding%on%HFD
=)!>9%7!?76/$95/7@!.77@9A<!B>C!0D!E@!F9G9/4%!.77@9A<!BEC!
5T2A%%%.!897/!2!@&H6!>?.!0!1!@&H6!E@!F9G
FTA%%%!!.!897/!>?.!0D!E@!F9G
9hFT%%%%%.!897/!=)!>?.
12hFT%%%.!897/!I1)!>?.
15hFT%%%.!897/!I2)!>?.
Therapeutic%Effect%of%Time%Restricted%Feeding%on%HFD
E@!F9G9/4%!.77@9A<!BEC!0D!=)!>9%7!?76/$95/7@!.77@9A<!B>C!
FAT%%%%%.!897/!E@!F9G!0D!>?.
E@!F9G9/4%BEC
I2)>?.
I1)>?.
2>1E
F9<)/9A<!35)7@4'7
=)>?.B>C
WeekDays
WeekEnds
ZT12 ZT24
13 22 1 10
Feeding%&%Lighting%Schedule
Diets
FSA%%%%%%.3!897/!E@!F9G9/4%
FST%%%%%%.3!897/!=)!>?.%
Fat%&%Sucrose%Diet%(FS)%
FrA%%%%%%.$!897/!E@!F9G9/4%
FrT%%%%%%.$!897/!=)!>?.%
High%Fructose%Diet%(Fr)
High%Fat%Diet%(F)% Normal%Chow%Diet%(N)%
FA%%%%%%%%%.!897/!E@!F9G9/4%
15hNT%%%"!897/!I2)!>?.
NA%%%%%%%%%"!897/!E@!F9G9/4%
High%Fat%Diet%(F)% Normal%Chow%Diet%(N)%
FAA% !!!.!897/!E@!F9G!0D!E@!F9G
High%Fat%Diet%(F)% Normal%Chow%Diet%(N)%
FTT%%%%%.!897/!>?.!0D!>?.
NTA%%!!"!897/!>?.!0D!E@!F9G
NTT%%%%"!897/!>?.!0D!>?.
NAT%%%%%"!897/!E@!F9G!0D!>?.
NAA%!!!"!897/!E@!F9G!0D!E@!F9G
0 5 10 15 20 25
20
30
40
50
FT
A
F
A
T
F
A
A
F
T
T
W
ee
k
s
Body Weight (g)
Reversal#3_BW&Food.pzf:Reversal#3_BW graph - Wed Jun 25 15:53:34 2014
FrA
FrT
0
5
10
15
20
25
30
35
L
ea
n
Fa
t
Res
t
Body Composition (g)
Fructose_BW_BodyComp_GTT.pzf:BodyComp(g) graph - Wed Jun 25 16:09:13 2014
FrA
FrT
0
5
10
15
20
p
=
0
.
0
7
Fat Mass (% of BW)
2
6
%
Fructose_BW_BodyComp_GTT.pzf:BodyComp_%fat graph - Wed Jun 25 16:12:14 2014
0246810 12
15
20
25
30
35
F
r
A
F
r
T
W
ee
k
s
Body Weight (g)
Fructose_BW_BodyComp_GTT.pzf:BW_13-24 graph - Wed Jun 25 16:14:06 2014
0246810 12
0
100
200
300
F
r
A
F
r
T
W
ee
k
s
Cumulative Food Consumption
(kcal/mouse/week)
Fructose_BW_BodyComp_GTT.pzf:CumulFoodCons_13-24 graph - Wed Jun 25 16:15:24 2014
0 2 4 6 8 10 12
0
250
500
750
1000
F
A
9
hF
T
5
T
2
A
1
2
hF
T
W
ee
k
s
kcal/mouse/week
2013-11_9hFT-12hFT-5T2A.pzf:2013-11_FoodCons_Cumulative_woNA graph - Thu Jun 26 17:18:19 2014
0123456789
0
100
200
300
400
500
600
700
800
900
N
A
15
h
N
T
F
A
1
5
hF
T
W
ee
k
s
kcal/mouse/week
2013-09_DayRF-16RF_Figure.pzf:2012-05-08_15RF_CumulFoodCons graph - Thu Jun 26 17:37:48 2014
0 5 10 15 20 25
0
500
1000
1500
2000
2500
F
A
A
F
T
T
F
A
T
FT
A
W
e
e
k
s
Cumulative Food Consumption
(kcal/mouse/week)
Reversal#3_BW&Food.pzf:Reversal#3_Cumul_Food_kcal graph - Thu Jun 26 17:42:51 2014
04812 16 20 24 28 32 36
0
500
1000
1500
2000
2500
3000
3500
4000
4500
FT
A
F
A
T
F
T
T
F
A
A
NA
A
N
T
T
N
T
A
N
A
T
W
ee
k
s
kcal/mouse/week
Reversal#1_BW.pzf:Reversal#1_HFD&NC_Food CumulKcal graph - Thu Jun 26 18:16:30 2014
NAA
NTT
NTA
NAT
50
60
70
80
90
*
*
*
*
*
*
*
*
Lean Mass (% of BW)
6
8
%
8
0
%
7
5
%
7
8
%
2012-02_Reversal#1_BodyComp.pzf:2012-02_Reversal#1_%lean graph - Tue Jul 8 15:19:57 2014
FSA
FST
0
10
20
30
40
50
60
70
80
90
*
6
5
%
Lean Mass (% of BW)
7
9
%
2013-11_HFHFr_Figure.pzf:2012-07-25-HFHFr-% Lean graph - Mon Jul 14 09:43:37 2014
Day 1
Day 2
Day 3
Day 4
Day 5
Day 6
Day 7
0
5
10
15
20
9
h
TF
R
1
5
h
(
r
e
m
a
i
n
d
er
of the
d
ay
)
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3
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4
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g
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ys
T
R
F 2
d
ay
s
A
L
F
kcal/mouse/day
2013-06_FoodConsumption.pzf:5T2A weekly food cons graph - Wed Jul 16 16:47:51 2014
0 2 4 6 8 10 12
0
250
500
750
1000
F
S
A
F
S
T
W
ee
k
s
Cumulative kcals
2013-11_HFHFr_Figure.pzf:2013-07-23_HFHFr_FoodCons_Cumulative graph - Thu Sep 4 15:39:07 2014
FSA
FST
FA
FT
5T2A
0
10
20
30
40
50
n
=
4
/
g
r
oup
ALT (U/L)
NA
15hNT
FA
15hFT
0
10
20
30
40
50
60
n
=
7
/
g
r
oup
ALT (U/L)
FAA
FTT
FTA
FAT
0
20
40
60
80
100
n
=
4
/
g
r
oup
ALT (U/L)
S
e
r
u
m
A
L
T
2014-03_ALT_AST.pzf:Layout 1 - Tue Jun 24 16:20:05 2014
NA
15hNT
FA
15hFT
0
100
200
300
n
s
*
*
n
=
6
/ g
r
o
u
p
Serum Adiponectin (ng/mL)
2013-10_DayRF-15RF.pzf:15hRF_Adiponectin graph - Mon Mar 17 17:57:32 2014
FSA
FST
0
100
200
300
*
*
n
=
10
/ gro
u
p
Serum Adiponectin (ng/mL)
2013-10_HFHFr.pzf:2013-09_HFHFr_Adiponectin graph - Tue Jun 24 14:57:20 2014
FAA
FTT
FTA
FAT
NAA
NTT
NTA
NAT
0
100000
200000
300000
400000
*
*
*
*
*
*
*
*
n
=
8
/ g
r
o
u
p
Serum Leptin (pg/mL)
2013-10_Reversal#1.pzf:Reversal#1_Leptin_All graph - Mon Mar 17 17:56:20 2014
FAA
FTT
FTA
FAT
0
5
10
15
20
n
=
4
/ g
r
o
u
p
*
**
n
s
n
s
HOMA-IR
2013-10_Reversal#3.pzf:Reversal#3_HOMA-IR graph - Thu May 8 10:33:47 2014
FSA
FST
0.0
0.5
1.0
1.5
n
s
n
=
5
/ g
r
o
u
p
HOMA-IR
2013-10_HFHFr.pzf:2013-09_HFHFr_HOMA-IR graph - Thu May 8 10:39:13 2014
FA
9hFT
12hFT
5T2A
0
1
2
3
4
5
6
7
8
9
10
11
12
p
=
0
.
1
3
*
*
*
n
=
4
-
12
/ gro
u
p
HOMA-IR
2013-11_HFD_TRF.pzf:2013-11_HOMA-IR graph - Thu May 8 10:47:28 2014
NA
15hNT
FA
15hFT
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
n
s
n
=
4
-
6
/
g
ro
u
p
p
=
0
.
0
6
HOMA-IR
2013-10_DayRF-15RF.pzf:15hRF_HOMA-IR graph - Thu May 8 14:36:31 2014
0
20 40 60 80 100 120
0
100
200
300
400
F
AA
FTT
FT
A
F
A
T
n
=
8
/
g
r
oup
T
i
m
e
(
m
i
n
)
Glucose (mg/dL)
FAA
FTT
FTA
FAT
0
2500
5000
7500
10000
12500
15000
17500
***
n
s
*
GTT - AUC Above Baseline
2013-11_Reversal#1_GTT_Reca.pzf:Reversal#1_GTT - Mon Mar 24 18:31:40 2014
0 5 10 15 20 25
0
50
100
150
200
250
F
A
A
F
T
T
FT
A
F
A
T
T
i
m
e
(
m
i
n
)
Glucose (mg/dL)
n
=
7
/ g
r
o
u
p
2013-11_Reversal#3_GTT_ITT_Reca.pzf:2013-11-Reversal#3-ITT_After graph - Mon Mar 24 18:53:31 2014
030 60 90 120
0
50
100
150
200
250
300
350
F
r
A
F
r
T
T
i
m
e
(
m
i
n
)
Glucose (mg/dL)
Fructose_BW_BodyComp_GTT.pzf:GTT graph - Fri Jul 11 10:46:59 2014
NA
FA
9hFT
12hFT
5T2A
FSA
FST
FAA
FTT
FTA
FAT
150
175
200
225
250
275
300
325
350
375
Grip Strength
2011-11_L&M-5T2A-HFHFr-Reversal#3_GripStrenght_Treadmill.pzf:2013-11_L&M-5T2A-HFHFr-Reversal#3_GripStrenght graph - Wed Mar 26 17:39:28 2014
FAA
FTT
FTA
FAT
0
5
10
15
20
n
s
n
s
n
s
n
=
12
/ gro
u
p
mg Glycogen / g of Liver
2013-08-07_Reversal#3_Liver&Muscle_Glycogen.pzf:2013-08-07_Reversal#3_LiverGlycogen graph - Tue Apr 8 19:20:41 2014
FAA
FTT
FTA
FAT
0.0
0.2
0.4
0.6
0.8
1.0
*
*
*
n
s
n
s
n
=
12
/ gro
u
p
mg Glycogen / g of Muscle
2013-08-07_Reversal#3_Liver&Muscle_Glycogen.pzf:2013-07-24_Reversal#3_MuscleGlycogen graph - Tue Apr 8 19:21:05 2014
NA
15hNT
0
20
40
60
80
100
120 D
a
r
k
L
i
g
h
t
n
s
Activity (% of total)
NA-15hNT_Metabo.pzf:NA-15hNT_AUC_bis graph - Tue Jul 15 17:00:37 2014
FA
15hFT
0
20
40
60
80
100
120 D
a
r
k
L
i
g
h
t
n
s
Activity (% of total)
FA-15hFT_Metabo.pzf:FA-15hFT_AUC_bis graph - Tue Jul 15 17:01:56 2014
FA
9hFT
0
20
40
60
80
100
120 D
a
r
k
L
i
g
h
t
Activity (% of total)
n
s
FA-9hFT_Metabo_Reversal#2.pzf:FA-9hFT_AUC_bis graph - Tue Jul 15 17:18:33 2014
FA
12hFT
0
20
40
60
80
100
120
D
a
r
k
L
i
g
h
t
n
s
Activity (% of total)
FA-12hFT_Metabo.pzf:FA-12hFT_Activity_% graph - Fri Sep 12 12:00:00 2014
NTT
FAA
FTT
FAT
0.0
0.5
1.0
1.5
2.0 *
*
*
*
*
n
s
n
s
n
s
2014-04-17_Serum_Metabolom_UpInALF_PSphingo.pzf:Serum_palmitoyl sphingomyelin graph - Mon Jun 30 18:59:20 2014
NTT
FAA
FTT
FAT
0
1
2
3
*
*
*
*
*
n
s
n
s
n
s
*
2014-04-17_Serum_Metabolom_DownInTRF.pzf:Serum_stearoyl sphingomyelin graph - Mon Jun 30 19:04:33 2014
gamma-glutamylalanine
gamma-glutamylisoleucine
gamma-glutamylleucine
gamma-glutamylmethionine
gamma-glutamylphenylalanine
gamma-glutamyltryptophan
gamma-glutamylvaline
0.0
0.5
1.0
1.5
2.0
N
T
T
F
A
A
F
T
T
F
A
T
2014-04-17_Serum_Metabolom_DownInTRF.pzf:Serum_GammaGlutamyl graph - Mon Jun 30 19:41:22 2014
0
.
0
0
.
5
1
.
0
1
.
5
2
.
0
2
.
5
0
.
0
0
.
5
1
.
0
1
.
5
2
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0
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.
5
0
.
0
0
.
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1
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2014-04-29_Serum_Metabolom_RecoveredCyclers.pzf:Layout 2 - Wed Jul 9 14:17:43 2014
Srebf1
Srebf2
Slc10a1
Fxr
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Median Normalized
Relative Expression
3_HFHFr-5T2A-Reversal_Liver_Pooled.pzf:HFHFr-5T2A-Reversal#3_Srebf1&2-Slc10a1-Fxr graph - Thu Feb 27 15:04:54 2014
FAA
FTT
FTA
FAT
NAA
NTT
NTA
NAT
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Serum Cholesterol (mg/dL)
2013-10_Reversal#1.pzf:Reversal#1_Cho_All graph - Mon Jun 30 11:25:30 2014
Supplemental Figures Legends:
Figure S1. Schematic of the animal cohorts used in this study.
This study was undertaken to investigate four main questions: (1) the beneficial effect of TRF
under different diets, (2) the impact of food availability duration on TRF benefits, (3) the legacy
effect of TRF on different time-scale and (4) the therapeutic effect of TRF on pre-established
DIO and associated metabolic disorders (see Fig 1). To address these questions, the following
6 animal cohorts were studied with variation in the age of the mice, the duration of the study and
the lighting schedule. Because of these differences, results presented in Figs. 2 to 4 are
grouped as these 6 mice cohorts which are as described:
(i) high-fructose cohort: one cohort of 12 weeks old mice fed a high-fructose diet (Fr) for 11
weeks on a 12:12 light:dark cycle (FrA and FrT feeding groups),
(ii) high-fat high-sucrose cohort: one cohort of 12 weeks old mice fed a high-fat high-sucrose
diet (FS) for 12 weeks on a 12:12 light:dark cycle (FSA and FST feeding groups),
(iii) high-fat TRF and 5T2A cohort: one cohort of 12 weeks old mice fed a high-fat diet for 12
weeks on a 12:12 light:dark cycle (FA, 9hFT, 12hFT and 5T2A feeding groups),
(iv) high-fat and normal chow cohort: one cohort of 8 weeks old mice fed a high-fat diet (F) or
a normal chow diet (N) for 9 weeks on a 12:12 dark:light cycle (FA, 15hFT, NA and 15hNT
feeding groups),
(v) short-term crossover cohort (13:12): one cohort of 12 weeks old mice fed a high-fat diet
for 25 weeks on a 12:12 light:dark cycle during which the feeding regimen was switched for
some mice midway through the experiment (FAA, FTT, FTA, FAT feeding groups),
(vi) long-term crossover cohort (26:12): one cohort of 12 weeks old mice fed a high-fat diet or
a normal chow diet on a 12:12 light:dark cycle for 48 weeks during which the feeding regimen
was switched for some mice after 26 weeks and then maintained another 12 weeks (FAA, FTT,
FTA, FAT feeding groups on HFD and NAA, NTT, NTA, NAT feeding groups on NC).
Figure S2, related to Figure 2. Additional details about food consumption, body weight
and body composition.
A. Cumulative food consumption in each experimental cohort (associated with Fig 2A). The
number of mice (n) analyzed per group was (i-ii) n=16, (iii) n=12 and (iv) n=32 then 16.
B. (i) Body weight and corresponding (ii) cumulative food consumption (n=12 mice per group);
(iii) body composition of the mice in each feeding group (n=7) at the end of the study and
corresponding (iv) percent fat mass as a percent of total body weight in the high-fructose diet
fed cohort (The percentage reduction of fat mass compared to the ad libitum fed control group is
indicated.).
C. (i) Body weight and corresponding (ii) cumulative food consumption in the short-term
(13:12) crossover study. The number of mice (n) analyzed per group was n=16 then 8.
D. Lean mass as a percent of total body weight in the normal chow fed mice of the long-term
(26:12) crossover study (calculated from fig 2C(iv)). The value of the percent lean mass in each
group is indicated.
E. Lean mass as a percent of total body weight in FS cohort (calculated from fig 2C(i)). The
value of the percent lean mass in each group is indicated.
F. Daily caloric consumption during the 5 days on 9hTRF and the 2 days ALF represented as
calories ingested during the 9h TRF interval (ZT13-22; purple) and the remaining 15h (grey).
Data represent the average over 3 weeks for 4 cages and 16 mice.
Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001 versus all other groups
or versus the ad libitum fed control group as indicated.
Figure S3, related to Figure 3. TRF modulates adipokine levels and counteracts liver
steatosis.
A. Serum adiponectin and leptin and concentration. The number of mice (n) analyzed per group
was (i) n=10, (ii) n=6 and (iii) n=8.
B. Representative H&E (i-iii) and Oil Red O (iv) stained histological sections of the liver in the
different groups as shown. Scale bar shown is for B(i)-(iv).
C. Serum alanine transaminase (ALT) activity. (i) n=4, (ii) n=7 and (iii) n=4. Intergroup
differences were not significant.
Figure S4, related to Figure 4. Time-restricted feeding improves glucose homeostasis.
A. HOMA-IR for the different experimental groups. The number of mice (n) analyzed per group
was (i) n=4-12, (ii) n=4-6, (iii) n=5 and (iv) n=4.
B. GTT in the high-fructose fed cohort. 8 mice per group were analyzed.
C. GTT in the long-term (26:12) crossover cohort. 8 mice per group were analyzed.
D. ITT in the short-term (13:12) crossover cohort. 7 mice per group were analyzed.
Figure S5, related to Figure 5. Activity, muscle physiology and glycogen storage upon
time-restricted feeding.
A. Grip strength of the forelimb muscles.
B. Spontaneous locomotor activity.
C. Representative H&E and cytochrome oxidase (Cox) stained histological transverse sections
of the muscle.
D. Glycogen tissue content of the liver (left) and the muscle (right) in the short-term (13:12)
crossover study. 12 mice per group were analyzed. Data are presented as mean ± SEM. t-test,
*p < 0.05, **p < 0.01, ***p < 0.001 as indicated.
Figure S6, related to Figure 6. Serum metabolomics.
A. Statistical comparisons of 278 serum metabolites.
B. Relative serum abundance (median normalized) of (i) γ-glutamyl amino acids, (ii) pro-
inflammatory sphingolipids palmitoyl- and stearoyl-sphingomyelin, and (iii) temporal profile of γ-
glutamyl amino acids.
Figure S7, related to Figure 7. Cholesterol levels in the long-term crossover study and
hepatic expression of sterol pathway regulators.
A. Serum cholesterol levels in the long-term (26:12) crossover study. 8 mice per group were
analyzed. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001 versus the
indicated group.
B. qPCR analysis of cholesterol and bile acids metabolism transcriptional regulators srebf1,
srebf2 and fxr, and bile acid transporter scl10a1. Data are shown as average expression ±
SEM. (n=12 mice per group).
Supplemental Table 1, related to Figure 1.
Formula of the different diets used in the study.
Supplemental Table 2, related to Figure 1.
Detailed characteristics of the animal cohorts used in this study.
Supplemental Table 3, related to Figures 2, 3, 4, 5 and 7.
Results summary. Grey cells signify that no measurements were recorded. N/M: Not Measured.
Supplemental Table 4, related to Figure 6.
Metabolomics results showing the raw data and the outputs values form JTK_Cycle (Hughes,
2010).
!
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