The mouse liver displays daily rhythms in the metabolism of phospholipids and in the activity of...
-
Upload
independent -
Category
Documents
-
view
0 -
download
0
Transcript of The mouse liver displays daily rhythms in the metabolism of phospholipids and in the activity of...
PROOF COVER SHEET
Author(s): Lucas D. Gorne, Victoria A. Acosta-Rodrıguez, Susana J. Pasquare, Gabriela A. Salvador, Norma M.Giusto, and Mario Eduardo Guido
Article title: The mouse liver displays daily rhythms in the metabolism of phospholipids and in the activity of lipid
synthesizing enzymes
Article no: LCBI_A_949734
Enclosures: 1) Query sheet2) Article proofs
Dear Author,Please check these proofs carefully. It is the responsibility of the corresponding author to check against the original
manuscript and approve or amend these proofs. A second proof is not normally provided. Informa Healthcare cannot be held
responsible for uncorrected errors, even if introduced during the composition process. The journal reserves the right to charge
for excessive author alterations, or for changes requested after the proofing stage has concluded.
The following queries have arisen during the editing of your manuscript and are marked in the margins of the proofs.Unless advised otherwise, submit all corrections using the CATS online correction form. Once you have added all yourcorrections, please ensure you press the ‘‘Submit All Corrections’’ button.
Please review the table of contributors below and confirm that the first and last names are structured correctly and thatthe authors are listed in the correct order of contribution.
Contrib.No.
Prefix Given name(s) Surname Suffix
1 Lucas D. Gorne
2 Victoria A. Acosta-Rodrıguez
3 Susana J. Pasquare
4 Gabriela A. Salvador
5 Norma M. Giusto
6 Mario Eduardo Guido
AUTHOR QUERIES
Q1: Please provide the town and state abbreviation (for the USA) or town and country of origin (for other
countries) identifying the headquarters location for Life Technologies; Promega; Applied Biosystems; Perkin
Elmer; Invitrogen; Biodynamics; Qiagen.
Q2: Please clarify whether the reference referred to as Churchward et al. (2008) in the text should be (2008a) or
(2008b).
Q3: Please provide better quality artwork for figure 4 and 5.
Q4: Please provide last page range.
Chronobiology International, Early Online: 1–16, (2014)! Informa Healthcare USA, Inc.ISSN: 0742-0528 print / 1525-6073 onlineDOI: 10.3109/07420528.2014.949734
ORIGINAL ARTICLE
The mouse liver displays daily rhythms in the metabolism ofphospholipids and in the activity of lipid synthesizing enzymes
Lucas D. Gorne1, Victoria A. Acosta-Rodrıguez1, Susana J. Pasquare2, Gabriela A. Salvador2,Norma M. Giusto2, and Mario Eduardo Guido1
1Departamento de Quımica Biologica, Facultad de Ciencias Quımicas, CIQUIBIC-CONICET, Universidad Nacional deCordoba, Cordoba, Argentina and 2INIBIBB-CONICET, Universidad Nacional del Sur, Bahıa Blanca, Argentina
The circadian system involves central and peripheral oscillators regulating temporally biochemical processesincluding lipid metabolism; their disruption leads to severe metabolic diseases (obesity, diabetes, etc). Here, weinvestigated the temporal regulation of glycerophospholipid (GPL) synthesis in mouse liver, a well-known peripheraloscillator. Mice were synchronized to a 12:12 h light–dark (LD) cycle and then released to constant darkness with foodad libitum. Livers collected at different times exhibited a daily rhythmicity in some individual GPL content with highestlevels during the subjective day. The activity of GPL-synthesizing/remodeling enzymes: phosphatidate phosphohy-drolase 1 (PAP-1/lipin) and lysophospholipid acyltransferases (LPLATs) also displayed significant variations, withhigher levels during the subjective day and at dusk. We evaluated the temporal regulation of expression and activityof phosphatidylcholine (PC) synthesizing enzymes. PC is mainly synthesized through the Kennedy pathway withCholine Kinase as a key regulatory enzyme or through the phosphatidylethanolamine (PE) N-methyltransferase (PEMT)pathway. The PC/PE content ratio exhibited a daily variation with lowest levels at night, while ChoK� and PEMT mRNAexpression displayed maximal levels at nocturnal phases. Our results demonstrate that mouse liver GPL metabolismoscillates rhythmically with a precise temporal control in the expression and/or activity of specific enzymes.
Keywords: Circadian rhythm, mouse liver, peripheral oscillator, phospholipid metabolism
INTRODUCTION
The circadian timing system comprises central and
peripheral oscillators distributed throughout the body
to temporally regulate physiology and behavior with a
period near 24 h. Circadian clocks are present in most
living organisms, even in single cells, and regulate a
number of physiological and biochemical rhythms
(Dunlap et al., 2004). In mammals, the master circadian
clock is located in the hypothalamic suprachiasmatic
nuclei (SCN), while a number of peripheral oscillators
have been described in different organs and tissues,
such as the retina, liver, spleen, lung, pituitary gland,
etc. (Mohawk et al., 2012). Moreover, circadian clocks
present in immortalized cell lines and primary cell
cultures display rhythms in gene expression and meta-
bolic activities (Acosta-Rodrıguez et al., 2013; Balsalobre
et al., 1998; Marquez et al., 2004; Nagoshi et al., 2005).
At the molecular level, the clock is controlled by
a transcriptional/translational feedback circuitry
generating profiles of gene expression under a circadian
base (Mohawk et al., 2012).
The murine liver constitutes a very intriguing model
of a peripheral oscillator for investigating the circadian
regulation of cellular metabolisms, hepatocyte cell
regeneration and the impact of different diet compos-
itions (Matsuo et al., 2003). Several transcriptomic,
proteomic, lipidomic and metabolomic studies in mam-
malian tissues including the liver reveal a tight cross-talk
between cell metabolism including that for lipids and
the circadian clock (Adamovich et al., 2014; Asher &
Schibler, 2011; Bass & Takahashi, 2010; Eckel-Mahan
et al., 2012; Huang et al., 2011; Hughes et al., 2009;
Menger et al., 2007; Reddy et al., 2006; Sahar & Sassone-
Corsi, 2012), particularly where lipid metabolism is
involved (Adamovich et al., 2014; Asher & Schibler, 2011;
Bass & Takahashi, 2010; Bray & Young, 2011; Eckel-
Mahan et al., 2012). Furthermore, the disruption of the
molecular clock may cause a number of metabolic
Correspondence: Dr Mario E. Guido, Departamento de Quımica Biologica, Facultad de Ciencias Quımicas, CIQUIBIC (CONICET),Universidad Nacional de Cordoba, Haya de la Torre s/n, Ciudad Universitaria, 5000 Cordoba, Argentina. Tel: 54-351-5353855;Ext.3429/30. Fax: 3406. E-mail: [email protected]
Submitted May 24, 2014, Returned for revision July 14, 2014, Accepted July 26, 2014
1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
disorders, such as the metabolic syndrome implicated in
obesity, diabetes, hyperlipidemia, etc. (Durgan & Young,
2010; Froy, 2010; Green et al., 2008; Maury et al., 2010;
Sookoian et al., 2008; Takahashi et al., 2008).
Glycerophospholipids (GPLs) are bioactive molecules
of fundamental importance as structural components of
all biological membranes and key cellular components
involved in cell signaling, energy balance, vesicular
transport, cell to cell and intracelullar communication
(Coleman & Mashek, 2011; Hermansson et al., 2011; Van
Meer et al., 2008). GPLs are first synthesized from
glycerol-3-phosphate via a de novo pathway formerly
described by Kennedy and Weiss (Hermansson et al.,
2011; Kennedy & Weiss, 1956) and subsequently remo-
deled by the Lands Cycle, involving the sequential
activity of phospholipase A (PLA) and lysophospholipid
acyl transferases (LPLAT) (Shindou & Shimizu, 2009;
Shindou et al., 2009).
Phosphatidylcholine (PC) is an abundant and essen-
tial GPL present in the liver that plays an important role
in the structural composition of hepatic membranes and
in the generation of second messengers involved in key
regulatory functions and other processes in this organ
(Exton, 1994; Gehrig et al., 2008; Kent, 2005). PC
synthesis is crucial for hepatocyte growth, liver cell
proliferation and survival (Cui & Houweling, 2002). In
mammals, the disruption of genes encoding phospho-
lipid biosynthetic enzymes has severe physiological
consequences or lethality (Vance & Vance, 2009). In
the liver, the biosynthesis of PC may occur via the
Kennedy pathway or through an alternative biosynthetic
route in which the enzyme Phosphatidylethanolamine
(PE) N-methyltransferase (PEMT) converts PE into PC
(Li & Vance, 2008). The Kennedy pathway for PC
synthesis involves three enzymatic steps catalyzed by
choline kinase (ChoK), CTP: phosphocholine cytidylyl-
tranferase (CCT) and CDP-choline: 1,2-diacylglycerol
cholinephosphotransferase (CPT) in which CCT and
ChoK activities are considered the rate-limiting and
regulatory steps under most metabolic conditions (Li &
Vance, 2008). Nevertheless, it has been demonstrated
that the availability of DAG also influences PC biosyn-
thesis (Araki & Wurtman, 1998; Kent, 2005; Marcucci
et al., 2010). Remarkably, in most mammals, there are
two genes encoding for ChoK: Chka codes for ChoKa1/2
and Chkb codes for ChoKb (Aoyama et al., 2004; Wu &
Vance, 2010). Mice lacking ChoK� die early in embryo-
genesis (Vance & Vance, 2009), while ChoK overexpres-
sion has been implicated in human carcinogenic
processes (Gallego-Ortega et al., 2011; Glunde et al.,
2011). In mice there are two genes for CCT: Pcyt1a
encodes the CCTa protein from alternative transcripts
termed CCTa1 and CCTa2 and the Pcyt1b gene encodes
the CCTb2 and CCTb3 proteins from the differentially
alternative spliced mRNAs CCTb2 and CCTb3 (Karim
et al., 2003).
At present, little is known about the temporal regu-
lation of GPL and PC biosynthesis by its intrinsic
circadian clock. In this connection, day/night changes
in PC content and of other GPLs have been reported in
the whole brain of rats maintained under a regular LD
cycle (Dıaz-Munoz et al., 1987) but not under constant
environmental conditions. However, no major conclu-
sions can be drawn from this study since the brain
displays an heterogeneous behavior in the different
regions or nuclei examined, exhibiting different circa-
dian phases or arrhythmicity (Abe et al., 2002). Similarly,
another study showed significant variations in the
phospholipid content of the liver in hamsters only
under the LD cycle, and not under constant illumination
conditions (Ginovker & Zhikhareva, 1982). It is note-
worthy that continuous light is required to reveal
whether temporal changes are generated in an endogen-
ous and self-sustained manner as expected for circadian
rhythms. In this connection, we have previously
described that de novo synthesis of whole phospholipids
in different cell types from mammalian and non-mam-
malian vertebrates is controlled by a circadian clock as
observed in chicken retinal neurons in vivo or in vitro
(Garbarino-Pico et al., 2004, 2005; Guido et al., 2001) as
well as in quiescent murine fibroblasts after synchron-
ization by a serum shock (Acosta-Rodrıguez et al., 2013;
Bray & Young, 2011; Marquez et al., 2004). Moreover, an
extensive liver lipidomic analysis in wild-type and clock-
disrupted mice kept in constant darkness (DD) and
subjected to different feeding regimes, has shown that
some triglycerides, GPLs and lipid regulators oscillated
in their endogenous levels in both mouse strains
(Adamovich et al., 2014).
Here, we studied whether GPL metabolism is tem-
porally regulated in the mammalian liver under circa-
dian clock control at the early stages of de novo
biosynthesis and remodeling events. In addition, we
have specially focused on the pathways of PC synthesis,
investigating the expression and/or activity of its
synthesizing enzymes. To this end, we performed
circadian studies on liver samples collected at different
phases/times from animals kept under a regular LD
cycle or released to DD for 48 h. In our experimental
design, mice were maintained with food and water ad
libitum in order to address only the synchronizing
effects of the light regardless of the food composition
and accessibility. We first examined the temporal regu-
lation of individual endogenous GPLs and of the activity
of phosphatidate phosphohydrolase 1 (PAP-1/lipin) in
desphosphorylating PA to DAG, a branching point for de
novo synthesis of most GPLs (Csaki et al., 2013; Kok
et al., 2012; Pascual & Carman, 2013). We then assayed
LPLAT activities involved in the remodeling of mem-
brane phospholipids. Finally, after evaluating possible
changes over time in the endogenous content of PC and
PE and in the PC to PE ratio, we examined the temporal
control in the expression and/or activity of the two key
synthesizing enzymes, ChoK and CCT from the Kennedy
pathway as well as the expression of the key enzyme
PEMT in the alternative liver route.
2 L. D. Gornee et al.
Chronobiology International
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
EXPERIMENTAL PROCEDURES
MaterialsAll reagents were of analytical grade. Alugram SIL
G/UV254 TLC silica gel 60-precoated sheets were from
Macherey-Nagel (Duren, Germany). Phospholipid
standards, MgCl2 and ATP were from Sigma (St. Louis,
MO). The Bio-Rad Protein Assay based on Bradford
method was used to measure the protein concentration
(Bradford, 1976).
TRIzol reagent (Invitrogen – Life Technologies, Cat.#
15596-026);Q1 for RT-PCR the reagents were from
PromegaQ1 : DNAsa (RQ1 RNase-Free Dnase. Cat.
#M6101), M-MLV (– Cat. #1701/1705 – Part #9PIM170),
GoTaq DNA Polymerase (– Cat. #M3001/M3005/
M3008), random primers and dNTPs.
SYBR Green PCR Master Mix (Applied Biosystems –
Part #4309155).Q1 Protease inhibitors were from Sigma-
Aldrich (Protease inhibitor cocktail, Cat. #P8340).
Primers Taq-Man are shown in Supplementary Table
1; ATP-MgCl2, choline and p-choline were from Sigma-
Aldrich, [14C]-choline from Perkin ElmerQ1 (Product
number: NEC141V, LOTE: 3614233, Specific Activity
55.19 mCi/mmol (0.2 mCi/ml; 55.19 mCi/mmol
�0.1 uCi; 0.01812 mM in the reaction volume); the
scintillation Cocktail was from Perkin Elmer –
Optiphase HiSafe 3 (Cat. #1200- 437, 5L).
Animal handlingYoung male mice (Mus musculus) of the C57BL/6J strain
were reared for at least 7 days on an LD cycle of 12 h
each with food and water ad lib and a room temperature
of �20 �C. Then, animals were released to constant
darkness (DD) for 48 h or kept under the same LD cycle.
On day 10, animals were euthanized in the correspond-
ing light condition at different times: 4, 8, 16 and 20 h
during the regular LD cycle, or at 4, 8–9, 16, 20, 28, 32
and 40 h for those maintained in DD; for the dark
condition a night viewer (IR viewer) was used. Livers
were dissected out, immediately frozen in liquid air and
then kept at –80 �C until homogenization. Since mice
have free-running periods close to 24 h and they would
not have shifted significantly after 48 h of DD, times of
treatments were designated with respect to the previous
entraining LD cycle (or zeitgeber) as ZTs for those
animals kept under the LD cycle and as circadian times
(CTs) for animals released to DD for 48 h. Thus, ZT 0
corresponds to the phase of the previous dark–light
transition (subjective dawn), while ZT 12 corresponds to
the time of the light–dark transition (subjective dusk) at
which lights are turned off.
Animal handling was performed according to the
Guide to the Care and Use of Experimental Animals
published by the Canadian Council on Animal Care and
approved by the local animal care committee (School of
Chemistry, National University of Cordoba, Exp. 15-99-
39796) and conforms to international ethical standards
(Portaluppi et al., 2010).
Preparation of liver homogenatesFor PAP-1/lipin and LPLAT enzyme activities and
phospholipid extraction, 200 ml of each liver dissected
from mice euthanized at different times were homo-
genized in 1.5 ml of PBS containing protease inhibitors
in a glass homogenizer by 20 strokes. Aliquots from total
homogenates were used to quantify the protein content
by the Bradford method (Bradford, 1976). Samples for
PAP-1/lipin and LPLAT activities were lyophilized
and stored at �80 �C until use. For mRNA extraction
and RT-PCR (at end point and real time) the tissue was
processed according to TRIzol reagent’s manufacturer
instructions.
For ChoK enzymatic activity, livers were homoge-
nized in a glass homogenizer and then sonicated for
30 s. One volume of the homogenate was then resus-
pended in three volumes of the homogenization buffer
(0.25 M sucrose¼ 8.56% M/V, protease inhibitor, 0.28%
of B-mercaptoethanol). Samples were centrifuged for
5 min at 10 000 rpm, the pellet was discarded and
protein content determined according to Bradford
(1976). Supernatants were stored at 4 �C up to deter-
mination of the enzymatic activity according to
Weinhold & Rethy (1974) and Weinhold et al. (1991).
Phospholipid extraction, quantification andchromatographic separationThe extraction and quantification of endogenous
phospholipids was determined according to Fine &
Sprecher (1982) Q2and Churchward et al. (2008), with
modifications. Total phospholipids were extracted with
20 volumes of chloroform/methanol (1:1, v/v) as
described (one volume of homogenate contains
�100 mg of total protein). After 1 h at room temperature,
extracts were centrifuged at 10 000 rpm� 30 min.
Supernatants were resuspended in four volumes of
distilled H2O until the separation into two phases was
clearly visualized. These were then mixed by inversion
four times and kept at 4 �C overnight. The aqueous
phase was discarded and the organic phase was dried
with N2. Finally, lipids were resuspended in 40 ml of
chloroform–methanol (1:1)/volume of homogenate.
Individual phospholipids were separated in silica gel
60 plates soaked in 1.2% H3BO3 (in ethanol:water 1:1)
(from Macherey-Nagel, Duren, Germany) by a solvent
system composed of chloroform:methanol:water:ammo-
nium hydroxide (120:75:6:2 v/v) as described by Fine &
Sprecher (1982). Standards and individual lipid species
were visualized by using 3% cupric acetate in 8%
phosphoric acid and then heated at 170 �C for 10 min
in oven (modified from Churchward et al., 2008) Q2.
Image processing for the determination of individualphospholipid contentTwo variables were calculated to estimate the signal
intensity from the individual phospholipid bands.
The first, termed ‘‘relative level’’, represents the ratio
between the signals of one individual phospholipid of
Daily rhythms in liver phospholipid synthesis 3
! Informa Healthcare USA, Inc.
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
each sample and the averaged signal of this individual
lipid in all samples; changes in this variable are an
estimation of changes observed in individual phospho-
lipid quantities. The second variable, ‘‘relative contri-
bution’’, is the ratio between the signal of one individual
phospholipid and the sum of all phospholipids from
the same sample. This is a close approximation to the
proportion of each phospholipid in the total membrane.
The PC/PE ratio was calculated as the ratio between the
PC and PE content of each sample irrespective of any
form of normalization.
In vitro determination of LPLATLiver homogenates were lyophilized and resuspended in
ultrapure H2O containing protease inhibitors. Cell
homogenates were used as a source of enzyme and
endogenous lysophospholipids for determination of
total LPLAT activity. The activity of liver LPLAT was
determined as ‘‘in vitro’’ labeling by measuring the
incorporation of [14C]-oleate from [14C]-oleoyl-CoA
(56 mCi/mmol) into different endogenous lysophospho-
lipid acceptors as described by Castagnet & Giusto
(2002), Garbarino-Pico et al. (2004) and Acosta-
Rodrıguez et al. (2013). Under these experimental
conditions, changes in the measured activity may reflect
changes both in the amount of active enzyme and in the
content of endogenous lysophospholipids. The incuba-
tion mixture for the assay contained 60 mM Tris–HCl
(pH 7.8), 4 mM [1-14C]-oleoyl-CoA (105 dpm/assay),
10 mM MgCl2, 10 mM ATP, 75 mM CoA and 80 mg of
homogenates in a final volume of 150 ml. The reaction
was incubated for 10 min with shaking at 37 �C and
stopped by addition of 5 ml chloroform/methanol (2:1,
v/v). The lipids were extracted according to the method
of Folch et al. (1957). The lipid extract was dried under
N2, resuspended in chloroform/methanol (2:1, v/v)
and spotted on silica gel H plates. Unlabeled phospho-
lipids were used as standards. The chromatograms
were developed by two-dimensional TLC using as
system solvents chloroform/methanol/ammonia
(65:25:5, v/v/v) in the first dimension and chloroform/
acetone/methanol/acetic acid/water (30:40:10:10:4, v/v/
v/v) in the second, followed by visualization with iodine
vapors. The spots corresponding to PA, PC, PE, PI and
PS were scraped off and radioactivity was determined
by liquid scintillation.
Determination of PAP-1/lipin activityLiver homogenates were resuspended in ultrapure H2O
containing protease inhibitors. PAP-1/lipin activity was
determined by monitoring the rate of release of 1,2
diacyl-[2-3H]-glycerol (DAG) from [2-3H]-phosphatidic
acid (PA) as previously described by Pasquare and
Giusto (Acosta-Rodrıguez et al., 2013; Garbarino-Pico
et al., 2004; Pasquare de Garcia & Giusto, 1986; Pasquare
& Giusto, 1993). The reaction was stopped at 20 min by
addition of chlorophorm/methanol (2:1, v/v). DAG was
separated by TLC and developed with hexane:diethyl
ether:acetic acid (35:65:1, v/v/v) (Giusto & Bazan, 1979).
To separate monoacylglycerol (MAG) from PA, the
chromatogram was developed with hexane/diethyl
ether/acetic acid (20:80:2.3, v/v/v) as developing solv-
ent. PAP activity was expressed as the sum of labeled
DAG plus MAG (h�mg of protein)�1.
In vitro assessment of ChoK enzyme activityLiver homogenates were prepared as indicated above.
100 mg of protein homogenate were assessed with 0.5 ml
[methyl-14C]-choline chloride (55.19 mCi/mmol specific
activity), 10 mM ATP, 10 mM Mg2+, 0.1 M Tris-HCl (pH
8) and water to a final volume of 100 ml, according to
Weinhold et al. (1991) and Acosta-Rodrıguez et al.
(2013). The reaction was stopped at 10 min by an
addition of 1 ml of chloroform on ice. The soluble
products were extracted using chloroform/methanol
(2:1, v/v) and separated by TLC. The solvent system
was 0.9% NaCl/methanol/NH4OH (50:70:5, v/v/v). The
TLC-separated product was autoradiographed and the
bands corresponding to [14C]-choline and [14C]-phos-
phocholine were scraped and quantified adding 1 ml
of scintillation cocktail in a liquid scintillation counter.
The time reaction (10 min at 37 �C) and protein con-
centration (100 mg) were selected from a linear range of
time- and enzyme-curves.
RNA isolation and reverse transcriptionTotal RNA was extracted from liver homogenates using
TRIzol� reagent following manufacturer’s specifications
(Invitrogen). Q1The yield and purity of RNA were estimated
by optical density at 260/280 nm. 1 mg of total RNA was
treated with DNAse (Promega) Q1and utilized as a tem-
plate for the cDNA synthesis reaction using ImPromII
reverse transcriptase (Promega) and an equimolar mix
of random hexamers and oligo-dT (Biodynamics) Q1in a
final volume of 25 ml according to manufacturer’s
indications.
PCR assay (endpoint PCR)The primers used for RT-PCR are listed in
Supplementary Table 1. The polymerase chain reaction
was performed in a Labnet Multigen Thermal cycler
using the GoTaq� DNA Polymerase (Promega). PCR
reactions were carried out with an initial denaturation
step of 4 min at 94 �C, 35 cycles of 60 s at 94 �C, 30 s at
60 �C and 30 s at 72 �C, and a final 5-min elongation step
at 72 �C. Amplification products were separated by 1%
agarose gel electrophoresis and visualized by ethidium
bromide staining.
Real-time PCR (qPCR)Quantitative RT-PCR was performed using SYBR Green
or TaqMan Gene Expression Assays in a Rotor Q Gene
(Qiagen). Q1The primer/probe sequences are summarized
in Supplementary Table 1. The amplification mix con-
tained 1 ml of the cDNA, 1ml 20� mix primer/probe or
4 L. D. Gornee et al.
Chronobiology International
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
250 nM Forward–Reverse TBP primers, and 10 ml of
Master Mix 2� (Applied Biosystem) in a total volume
of 20 ml. The cycling conditions were 10 min at 95.0 �C,
and 45 cycles of 95.0 �C for 15 s, 60.0 �C for 30 s and 72 �C
for 30 s. The standard curve linearity and PCR efficiency
(E) were optimized. We used the 2�DDCT according to
Livak & Schmittgen (2001), and Larionov et al. (2005)
and TBP as the reference gene (Acosta-Rodrıguez
et al., 2013).
We used the equation described by Livak &
Schmittgen (2001)
x ¼ x0
r0
¼ xxT � 1þ Exð Þ�DCxT
rrT � 1þ Erð Þ�DCrT
in which x is the relative level of the mRNA of interest
(problem), x0 and r0 are the initial amounts for the
problem and reference mRNAs, respectively; xxT and rrT
are the amounts for the problem and reference mRNAs,
respectively, when the signal reaches the threshold of
detection established for each case; Ex and Er are the
efficiencies in the amplification estimated for both
mRNAs (problem and reference), respectively; DCxT
and DCrT are the differences in the number of amplifi-
cation cycles needed to reach the threshold of expres-
sion for both transcripts (problem and reference),
respectively, from the problem sample tested as com-
pared with a sample having a concentration equal to 1,
previously established according to the regression of the
calibration curve.
Each RT-PCR quantification experiment was per-
formed at least in duplicate (TaqMan or SYBR) for each
sample (n¼ 2–5/sample).
StatisticsFor LD data, statistical analyses involved a one-way
analysis of variance (ANOVA) to test the time effect and
Kruskal–Wallis (K–W) when the normality of residuals
was infringed. Pairwise comparisons were performed by
the Mann–Whitney (M–W) test when appropriate. For
further periodic analysis of DD data, we performed a
COSINOR analysis, and when the model assumptions
were infringed we used a linear–circular correlation as
described by Mardia (1976), with the Spearman coeffi-
cient followed by an aleatorization test with 1000
iterations to determine the p value. The analysis
considered a period (�) of 16, 20 and 24 h and signifi-
cance at p50.05.
RESULTS
Determination of the mouse liver as a circadianoscillatorIn order to investigate the temporal regulation of GPL
metabolism in the liver of mice after LD synchroniza-
tion, we first characterized the oscillatory capability of
this organ in animals previously entrained to a regular
LD cycle (for 7 days) and then released to DD or
maintained in the same LD cycle for another 48 h. Livers
collected at different times (ZTs or CTs) after synchron-
ization displayed a significant circadian rhythmicity in
mRNA levels of the clock gene Bmal1 in either LD or DD
conditions with a period (�) �24 h (Figure 1, Table 1);
these observations are in agreement with previous
reports (Hughes et al., 2009; Kornmann et al., 2007;
Panda et al., 2002). The statistical analysis revealed a
FIGURE 1. Expression of Bmal1 mRNA in livers of mice synchronized to a 12:12 h LD cycle for 7 days and released to constant darkness
(DD) (right panel) or maintained in the LD cycle (left panel).Levels of Bmal1 mRNA were assessed by RT-qPCR with RNA extracted from
livers of animals collected at different times (ZTs for the LD cycle or CTs for DD) and normalized according to the expression of the
housekeeping gene TBP. The ANOVA revealed a significant time effect on the levels of Bmal1 transcripts (LD: p50.001 and DD: p50.028).
The results are mean ± SEM (triplicate samples from three independent experiments). The solid bars above the graphs (left panel) denote
whether lights were on (white bar) or off (black bars) during the LD cycle; the hatched and solid bars above the graph (right panel) denote
when lights were on (gray bar) or off (black bar), respectively, in previous days.
Daily rhythms in liver phospholipid synthesis 5
! Informa Healthcare USA, Inc.
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
significant effect of time in both conditions (p50.0012
for the LD cycle and p50.029 for DD, see Table 1).
Circadian changes in the endogenous levels of GPLsTo determine whether the metabolism of phospholipids
varies throughout the day we first examined the content
of endogenous GPLs across time in both LD and DD
conditions. The results showed a significant daily vari-
ation in relative levels obtained in DD (PC: p50.047, PI:
p50.032, PE: N.S.) (Figure 2, Table 1). Remarkably, in
DD the endogenous content (relative levels) of diverse
GPLs exhibited a 2- or 3-fold change over time with the
highest levels during the subjective day along two cycles
examined of 24 h each (CTs 8 and 32) and lowest levels
at CTs 20 and 40 during the subjective night. Moreover,
although levels of PE did not vary significantly over time,
the PC to PE ratio displayed a marked oscillation in DD
(p50.0008 by COSINOR) with higher ratios during the
day and lower ratios at night (Figure 3). By contrast,
slight changes were found in the relative contribution of
individual phospholipids (Supplementary Figure 1),
each one showing an idiosyncratic pattern and only
SM+PS presenting a circadian profile. In LD, we found
significant effects of time only in relative levels of
SM+PS and in the relative contribution of PI (Table 1;
Figure 2E–G, left panel and Supplementary Figure 1); no
similar temporal profiles were seen in GPL content for
LD and DD conditions, likely reflecting a differential
effect of the light exposure during the L-phase. However,
similar patterns of oscillation were observed in the
PC/PE ratio in both illumination conditions, with higher
levels during the L-phase or subjective day. Overall,
observations in DD are in agreement with a recent
report based on lipidomic analysis showing daily oscil-
lations in the endogenous content of triglycerides
and some GPLs in the liver of mice maintained in
DD and either fed ad libitum or night fed (Adamovich
et al., 2014).
Daily variation in the activity of different mouse liverphospholipid synthesizing enzymesAlthough the steady state of endogenous GPLs could be
the combined outcome of the biosynthesis and the
degradation processes at any time, we explored here
the possibility that the circadian changes observed in
the endogenous content of GPLs in livers from mice
kept in DD after synchronization, were due to variations
in the activity of enzymes involved in the de novo
TABLE 1. Statistical analysis was performed with results from 5 independent samples for each ZT in LD and 2-3 independent
samples for each CT in the DD condition. One-way ANOVA (or Kruskal–Wallis when appropriate) was used to test the time effect in
the LD condition and COSINOR or linear-circular correlation with the Spearman coefficient followed by an aleatorization was
applied to test periodicity in DD. Acrophase denotes the time at which the variable reaches the maximum value.
LD DD
ANOVA COSINOR
R2-aj (n) p Value R2-aj (n) p Value Acrophase (CT) Period (� , h)
A – Phospholipids
PC/PE 0.057 (20) nsa 0.443 (20) 0.0008c 4 24
PC levels 0 (20) nsa 0.158 (20) 0.047c 8 24
PE levels 0.113 (20) nsa 0.188 (20) nsd 24
PI levels 0.097 (20) nsa 0.188 (20) 0.032c 9 24
SM+PS levels 0.263 (20) 0.049a 0.215 (20) nsd 24
PC contribution 0 (20) nsa 0.083 (20) nsc 24
PE contribution 0.147 (20) nsa 0.238 (20) nsd 24
PI contribution 0.289 (20) 0.037a 0.011 (20) nsd 24
SM+PS contribution 0 (20) nsa 0.203 (20) 0.026c 9 24
B – mRNA Expression
Bmal1 0,446 (20) 0.0012b 0,344 (20) 0.029d 22 24
Choka 0,566 (20) 0.0009a 0,333 (20) 0.045d 22 24
Chokb 0 (20) nsa 0,177 (20) 0.037c 8 16
pemt nd 0,315 (20) 0.0059c 19 24
Ccta1 0 (20) nsa nd
C – Enzymatic activity
ChoK 0 (20) nsa 0.040 (20) nsc 16
MAGL 0.426 (8) nsa 0.285 (16) 0.125d 24
PAP1 0.485 (8) nsa 0.270 (16) 0.023c 11 24
LPAAT 0.831 (8) 0.017a 0.712 (16) 0.000024c 12 24
LPCAT 0.481 (8) nsa 0.616 (16) 0.00019c 15 16
LPEAT 0.207 (8) nsa 0.317 (16) 0.013c 14 24
LPIAT 0.048 (8) nsb 0.461 (16) 0.0023c 13 16
LPSAT 0.690 (8) 0.055a 0.185 (16) 0.055c 16
aANOVA; bKruskal–Wallis; cCOSINOR;dLinear–circular correlation.
NS: non-significant (p40.05).
6 L. D. Gornee et al.
Chronobiology International
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
FIGURE 2. Daily variation in the endogenous levels of different glycerophospholipids extracted from livers of mice synchronized to a
12:12 h LD cycle for 7 days and released to constant darkness (DD) (right panels) or maintained in the LD cycle (left panels). Samples were
collected at different times (ZTs for the LD cycle or CTs for DD) and processed as described in Methods. Results are the mean ± SEM (in LD:
n¼ 5/group; in DD: n¼ 2–3/group). The COSINOR revealed a significant effect of time for PC and PI in DD (p� 0.05). See text for further
details and Table 1 for the statistical analysis. The solid bars above the graphs (left panel) denote whether lights were on (white bar) or off
(black bars) during the LD cycle; the hatched and solid bars above the graph (right panel) denote when lights were on (gray bar) or off
(black bar), respectively, in previous days. PC: Phosphatidylcholine, PE: Phosphatidylethanolamine, PI: Phosphatidylinositol and PS+SM:
Phosphatidylserine plus Sphingomyelin.
Daily rhythms in liver phospholipid synthesis 7
! Informa Healthcare USA, Inc.
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
synthesis of phospholipids. For this, we determined the
in vitro activities of LPAAT and PAP-1/lipin in hom-
ogenates of mouse livers collected at different times
(ZTs or CTs) in LD or DD, respectively (Figure 4).
De novo synthesis: lysophosphatidic acid acyltranferase(LPAAT) activityPA, the main precursor of GPLs, is synthesized by the
acylation of lysophosphatidic acid (LPA) catalyzed by
LPAAT. In synchronized livers, the acylation of LPA
exhibited a significant temporal variation in LD with the
highest levels at ZTs 4 and 20 (Figure 4). Moreover, in
DD the highest levels of PA production were seen during
the day/night transition (dusk) at CTs 8–9 and 16, and at
CTs 32 and 40 during the first and second cycles,
respectively. The lowest levels of PA production by
acylation were found at 8–16 h in LD and at CT 20 in
DD (Figure 4, Table 1). The statistical analysis revealed
a major effect of time on LPAAT activity in both LD
and DD (p50.0017 and p50.000024 by COSINOR) with
a clear 8 h-shift between the two conditions, likely
indicating the differential effect of light exposure
during the LD cycle.
De novo synthesis: phosphatidate phosphohydrolase 1(PAP-1)/lipin activityAs precursor of all GPLs, PA is dephosphorylated to DAG
by PAPs to synthesize PC and PE (Coleman & Mashek,
2011; Hermansson et al., 2011). Although there are two
types of PAP activity – PAP-1/lipin and PAP-2/LPPs
(Csaki et al., 2013; Kok et al., 2012; Pascual & Carman,
2013) – only PAP-1/lipin activity showed appreciable
levels in mouse liver homogenates. Based on this
observation and since PAP-1/lipin is primarily involved
in lipid synthesis in the endoplasmic reticulum, we
focused our studies on PAP-1/lipin activity (see section
‘‘Methods’’ for further details). In synchronized mice
kept in DD for 48 h, PAP-1 activity of liver homogenates
exhibited a significant temporal variation with a period
of 24 h, with the highest levels of DAG production at 8–9
and 40 h and the lowest levels at CT 20 (Figure 4). The
statistical analysis by COSINOR showed time to have a
major effect (p50.023) and revealed that the maximum
activity is at CT 11 with minimum levels around CT 23.
No significant differences were found in LD; however,
the temporal profiles of enzyme activity were similar in
both illumination conditions with higher levels during
the L phase of LD cycle or the subjective day.
Temporal contribution of lysophospholipidacyltransferase (LPLAT) activity to GPL remodelingin the mouse liverTo evaluate whether the remodeling of GPLs varies over
time, we assessed the activity of LPLATs involved in the
acylation of lysophospholipids (Lands cycle) in the
mouse liver of animals kept in LD or DD after 7-days
synchronization. We found no significant time differ-
ences in the LD situation for most LPLATs assessed
(Figure 5, left panel). By contrast, a remarkable temporal
variation in the activity of LPLAT for the different GPLs
examined was found in homogenates obtained at
different times in DD (Figure 5, right panel; Table 1 –
Part C). The statistical analysis revealed a major effect of
time for LPLAT activity irrespective of the lysopho-
spholipid assessed (p� 0.05 by COSINOR); in addition, a
rhythmic pattern was observed for the different GPLs
FIGURE 3. Ratio of PC to PE content from liver samples of mice synchronized to a 12:12 h LD cycle for 7 days and released to constant
darkness (DD) (right panel) or maintained in the LD cycle (left panel). Samples were collected at different times (ZTs for the LD cycle or CTs
for DD) and processed as described in the section ‘‘Methods’’. Results are the mean ± SEM (in LD: n¼ 5/group; in DD: n¼ 2–3/group). The
COSINOR revealed a significant effect of time in the PC/PE ratio in both DD (p� 0.0008). See text for further details and Table 1 for the
statistical analysis. The solid bars above the graphs (left panel) denote whether lights were on (white bar) or off (black bars) during the LD
cycle; the hatched and solid bars above the graph (right panel) denote when lights were on (gray bar) or off (black bar), respectively, in
previous days.
8 L. D. Gornee et al.
Chronobiology International
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
formed with a period ranging between 16 and 24 h.
Remarkably, for most LPLAT activities, the highest levels
were seen at CT 16 and the lowest at CT 20. Moreover,
we found a significant 100–160% variation in activities
over time between maximum and minimum values
(Figure 5). In addition, it can be observed that the
activity peak found at CT 20 for all LPLAT measured is
markedly delayed with respect to the rhythm observed
in the endogenous content (relative levels) of GPLs and
PAP-1/lipin activity (Figures 2 and 4).
Circadian changes in PC content in the mouse liverSince the endogenous levels of PC – the most abundant
GPL in eukaryotic cells – displayed a significant tem-
poral variation in the mouse liver of LD-entrained
animals released to DD (Figure 2) as well as in its
relative contribution as indexed by the PC/PE ratio,
displaying highest levels at subjective midday (Figure 3),
we further investigated the contribution of its different
synthesizing enzymes. For this, we first assessed the
expression at the mRNA level by RT-qPCR of the
FIGURE 4. Daily variation in the activities of lysophosphatidic acid acyltransferase (LPAAT) and of phosphatidate phosphohydrolase 1
(PAP-1/lipin) in mouse liver from animals synchronized to a 12:12 h LD cycle for 7 days and released to constant darkness (DD) (right
panels) or maintained in the LD cycle (left panel). LPAAT activity was determined in homogenates of livers collected at different times (ZTs
in LD or CTs in DD).Q3 The activity was measured by the incorporation of [14C]-oleate into lysophosphatidic acid (LPA). LPAAT activity
exhibited significant temporal changes (p50.02 in LD and p50.000024 in DD). See text for further details and Table 1 for the statistical
analysis. PAP-1/lipin activity was determined in mouse livers collected at different times (ZTs or CTs) as described in the section
‘‘Methods’’. The COSINOR analysis reveals a significant effect of time on enzyme activity (p¼ 0.023) in DD. Results are the mean ± SEM of 3
independent synchronization experiments (n¼ 2/group). The solid bars above the graphs (left panel) denote whether lights were on (white
bar) or off (black bars) during the LD cycle; the hatched and solid bars above the graph (right panel) denote when lights were on (gray bar)
or off (black bar) respectively in previous days.
Daily rhythms in liver phospholipid synthesis 9
! Informa Healthcare USA, Inc.
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
FIGURE 5. Daily variations in lysophospholipid acyl transferase (LPLATs) activities in mouse liver from animals synchronized to a 12:12 h
LD cycle for 7 days and released to constant darkness (DD) (right panel) or maintained in the LD cycle (left panel). LPLAT activity was
determined in homogenatesQ3 of livers collected at different times (ZTs in LD or CTs in DD). The activity was measured by the incorporation
of [14C]-oleate into lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), lysophosphatidylinositol (LPI) and lysopho-
sphatidylserine (LPS). The LPLAT activity exhibited significant temporal changes for all LPLs examined (p� 0.055 by COSINOR). Results are
the mean ± SEM of 3 independent experiments (n¼ 2/group). The solid bars above the graphs (left panel) denote whether lights were on
(white bar) or off (black bars) during the LD cycle; the hatched and solid bars above the graph (right panel) denote when lights were on
(gray bar) or off (black bar), respectively, in previous days. See text for further details and Table 1 for the statistical analysis.
10 L. D. Gornee et al.
Chronobiology International
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
regulatory enzymes ChoK and CCT and the PEMT,
which also appears to play an important role in the
control of PC levels in the liver (Li & Vance, 2008). To
this end, we studied the temporal profile of ChoK� and
ChoK� transcripts in homogenate samples collected at
different times in LD or DD conditions (Figure 6, Table 1
– Part B). The ANOVA revealed a significant time effect
for ChoK� mRNA (p50.009) in LD but not for ChoK�
FIGURE 6. Temporal variation in the mRNA expression of ChoK� and � (A-D), and PEMT (E) in liver samples from animals synchronized to
a 12:12 h LD cycle for 7 days and released to constant darkness (DD) (right panel) or maintained in the LD cycle (left panel). RT-qPCR was
performed on RNA extracted from homogenates of livers collected at different times (ZTs for the LD cycle or CTs for DD) and normalized
according to the expression of the housekeeping gene TBP. The ANOVA and linear–circular correlation revealed a significant time effect on
levels of ChoK� in both LD and DD (p50.0009 and p50.045, respectively) and of PEMT transcripts in DD (p50.006). On the contrary,
ChoK� transcripts presented no significant variations at any time examined. The results are mean ± SEM (triplicate from five independent
samples for LD and triplicate from 2 to 3 independent samples for DD). The solid bars above the graphs (left panel) denote whether lights
were on (white bar) or off (black bars) during the LD cycle; the hatched and solid bars above the graph (right panel) denote when lights
were on (gray bar) or off (black bar), respectively, in previous days.
Daily rhythms in liver phospholipid synthesis 11
! Informa Healthcare USA, Inc.
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
transcript levels tested in the same illumination condi-
tion. Moreover, the periodic analysis shown in Table 1 –
Part B indicates that levels of ChoK� mRNA robustly
oscillate in DD with a period (�)� 24 h (p� 0.045) with
the highest transcript levels during the subjective night
(CTs 16–20), whereas ChoK� also displayed a certain
daily rhythmicity with a � �16 h (p50.04) (Figure 6).
Overall, similar temporal profiles in ChoK� mRNA levels
were observed in both illumination conditions (LD
and DD) with higher levels at early day and at mid-
subjective night.
Nevertheless, we were unable to detect levels of
ChoK proteins by WB in the homogenates, likely due
to its low expression in non-tumor derived cells
(Gallego-Ortega et al., 2011; Ramırez de Molina et al.,
2002). Furthermore, no significant fluctuations were
found in levels of total ChoK activity assessed, though a
trend towards higher nocturnal levels was observed
during subjective night (data not shown). As regards
CCT expression, we detected appreciable levels of
CCTa1 by RT-PCR but not of CCTa2 or CCTb.
Moreover, no significant time-related variations were
seen in mRNA levels of CCTa1 under the regular LD
cycle (p¼ 0.694 by ANOVA).
An alternative PC biosynthetic pathway taking place
mainly in the liver involves PEMT activity that converts
PE into PC (Li & Vance, 2008). We therefore evaluated
PEMT mRNA expression by RT-qPCR. We found that
levels of PEMT mRNA displayed a robust rhythmicity
in DD with a period (�) �24 h (p� 0.006 by COSINOR)
with the highest levels during the subjective night
(CTs 16–20).
DISCUSSION
In the present work, we report for the first time that GPL
metabolism in the mouse liver is subjected to temporal
control in animals synchronized to a regular 12:12 h LD
cycle for 7 days and then released to DD with food and
water ad lib. In fact, the temporal variations observed in
the content of endogenous GPLs and in the PC/PE ratio,
as well as in the activity and expression of key biosyn-
thetic lipidic enzymes, represent truly circadian meta-
bolic rhythms with a period (�) �24 h along two cycles
assessed in constant illumination conditions (DD).
Interestingly, some of the parameters measured also
presented a significant oscillation along the 24 h of the
regular LD cycle condition (this work) or when mice
from different strains (wt or clock-disrupted) were
subjected to ad libitum or night feeding (Adamovich
et al., 2014). Thus, both circadian clocks and feeding–
fasting cycles play a major role in the regulation of
triacylglicerol (TAG) and other lipid (PC, PE, PI) accu-
mulation and whole endogenous levels in the liver;
some oscillations of TAG and GPLs still persist even in
the absence of a functional clock (Per1/2�/�), albeit with
a completely different phase.
In order to validate our study model, we first of all
looked for the expression of the clock gene Bmal1 at the
mRNA level. We found a significant oscillation for this
transcript in both illumination conditions (LD and DD),
clearly showing that the mouse liver constitutes a useful
model of a peripheral oscillator in mammals. Recent
studies have clearly linked the molecular clock with the
regulation of lipid metabolism, and the disruption of
circadian clocks’ results in pathophysiological changes
resembling the metabolic syndrome in which lipid
metabolism is strongly altered (Asher & Schibler, 2011;
Bass & Takahashi, 2010; Bray & Young, 2011; Maury
et al., 2010; Turek et al., 2005). We have previously
shown that fibroblasts in culture exhibit circadian
rhythms in the biosynthesis of radiolabeled phospho-
lipids in clear antiphase with the rhythm in the clock
gene Per1 expression (Balsalobre et al., 1998; Marquez
et al., 2004). Moreover, after knocking down Per1
expression, the metabolic rhythm disappeared and
cultures of CLOCK mutant fibroblasts – cells with an
impaired clock mechanism – displayed a loss of rhyth-
micity in both PER1 expression and phospholipid
labeling; these results clearly indicate a tight con-
trol over phospholipid synthesis by the molecular
circadian clock.
In this paper, we characterized the oscillatory behav-
ior of de novo GPL biosynthesis and remodeling in the
mouse liver from animals synchronized to environmen-
tal LD cycles and then kept in DD. Endogenous content
(relative levels) of individual GLPs (PC, PI) showed a
significant daily variation, with maximum levels during
the subjective day and minimum values at subjective
night. Moreover, despite the similarity of the PC and PE
patterns, the ratio of PC to PE showed a marked
variation over time following the same profile observed
for individual GPLs, with minimum values found at
midnight. It is known that membrane properties, such
as fluidity are mainly regulated by the fatty acid
composition of lipids; however, the temporal PC/PE
variation observed may also contribute to substantial
changes in the membrane properties (integrity, fluidity,
curvature, etc.) Q2(Churchward et al., 2008; Li et al., 2006;
Sen & Hui, 1988) and enzyme activity (Sleight & Kent,
1983) along the 24 h, possibly reflecting differential
needs in membrane activity and functioning over time.
In this connection, day/night changes observed in the
endogenous content of individual GPLs may result from
similar oscillations in the activity of the two key
biosynthetic enzymes, LPAAT and PAP-1/lipin. It is
noteworthy that enzymes involved in GPL metabolism
have been shown to be highly regulated (Castagnet &
Giusto, 2002; de Arriba Zerpa et al., 1999; Garbarino-
Pico et al., 2004, 2005; Giusto et al., 2002, 2010). PAP-1/
lipin, an enzyme that plays an essential role in
phospholipid metabolism, dephosphorylates PA to
DAG (Donkor et al., 2007; Reue & Brindley, 2008)
whereas PAP-2/LPP (or lipid phosphate phosphatase)
has been mainly implicated in signal transduction
12 L. D. Gornee et al.
Chronobiology International
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
mechanisms (Brindley, 2004; Giusto et al., 2000;
Pasquare et al., 2004). Physiological functions affected
by PAP activities include phospholipid synthesis, gene
expression, nuclear/endoplasmic reticulum membrane
growth, lipid droplet formation and vacuole homeosta-
sis and fusion (reviewed in Pascual & Carman (2013);
Kok et al. (2012)). In addition, lipin may play an
important role in the regulation of lipid intermediates
(PA and DAG) which influences essential cellular
processes including adipocyte and nerve cell differenti-
ation, adyipocyte lipolysis and hepatic insulin signaling
(reviewed in Csaki et al. (2013)). Remarkably, PC, PE and
triacylglycerol are synthesized from DAG generated by
PAP-1/lipin, whereas PA is the precursor for PI synthesis
through the CDP-diacylglycerol pathway (Hermansson
et al., 2011). We tested the activity of PAP-2/LPPs and
PAP-1/lipin in the liver and after differentiating them in
terms of their dependence on Mg2+ and sensitivity to
NEM, under this assay condition only PAP-1 activity was
observed. Based on this finding, we focused our atten-
tion on the temporal regulation of PAP-1/lipin activity
in relation to its role in GPL biosynthesis. Overall, the
activity of both enzymes (LPAAT and PAP-1/lipin) in the
mouse liver displayed a similar daily fluctuation under
both LD and DD. Strikingly, the lowest levels of PAP-1/
lipin activity were recorded around 20 h post-synchron-
ization, the time at which LPAAT also showed the lowest
activity, most likely in order to keep PA levels constant.
Both enzymes present the highest levels of activity
during the day or at the day/night transition (dusk). At
these phases, PA is metabolized to DAG rather than
being accumulated. The resulting higher DAG content
could be transiently utilized for the de novo synthesis of
GPLs during these phases, though the possibility that
elevated PA content is necessary for PI synthesis and/or
other intracellular functions such as cell signaling
cannot be discarded. In addition, and in further sup-
port of our observations, a recent report has demon-
strated that the transcripts for the enzymes of the
glycerol-3-phosphate pathway (LPLAT, PAP-1/lipin, etc)
are also expressed in a circadian manner
(Adamovich et al., 2014).
The generation of LPA is the result of the sterification
of glycerol-3-phosphate whereas other lysophospholi-
pids are formed by the action of phospholipase A (PLA)
activities as part of the deacylation-reacylation cycle
(Shindou et al., 2009). For this reason LPLAT may reflect
the state of the GPL deacylation/reacylation cycle, and
the possibility of a differential temporal regulation of
PLA cannot be discarded. Indeed, the LPLAT activities of
the different lysophospholipids examined (LPC, LPE and
LPI) presented similar circadian patterns, mostly with
highest levels at 16 h during the early subjective night
and during a time window around 32 h (28, 32 and 40 h)
with a clear delay with respect to PAP-1/lipin activity
and the endogenous content of main GPLs. The tem-
poral variations observed in LPLAT activities may
generate significant variations in the fatty acid
composition and quality of GPLs, affecting the mem-
brane curvature and fluidity and ultimately regulating
the activity and function of different cellular processes
(Shindou & Shimizu, 2009). Our observations clearly
show that the de novo biosynthesis and remodeling of
GPLs are subjected to endogenous temporal control in
the liver of mouse, likely reflecting differential require-
ments over time of newly synthesized phospholipids for
membrane biogenesis and/or generation of second lipid
messenger waves. In addition, our findings may suggest
that the temporal separation of events within the cell
also contributes to the spatial organization of reactions
in the different cell compartments. The biogenesis of
new membrane is required for a number of cellular
processes, including cell proliferation in tissue regener-
ation, exocytosis, vesicular traffic, organelle formation,
etc. The metabolic oscillations described may, among
other roles, represent a general characteristic of oscilla-
tors present either in the mouse liver, in immortalized
cell cultures (NIH 3T3) or neuronal cells (Acosta-
Rodrıguez et al., 2013; Adamovich et al., 2014;
Garbarino-Pico et al., 2004; Guido et al., 2001).
Of all individual GPLs examined in this paper, we
have paid particular attention to PC metabolism,
seeking to determine its endogenous levels, the activity
of LPCAT and the expression of its synthesizing
enzymes, ChoK and CCT, from the Kennedy pathway
and also of PEMT, an enzyme which plays a key role in
the alternative liver route of PC synthesis. PC homeo-
stasis in the liver is regulated at multiple levels. 70% of
PC is biosynthesized from choline via the CDP-choline
pathway and 30% is derived from PE via the PEMT
pathway (Leonardi et al., 2009; Vance, 2002).
Lipoproteins (HDL and LDL) transport PC into the
liver, while PC provides choline for sphingomyelin
synthesis and is also a precursor of PS. A major loss of
hepatic PC occurs from biliary secretion. In addition to
the degradation of PC by phospholipases, hepatic PC
can also be secreted as an important component of very
low-density (VLDL) and high-density (HDL) lipopro-
teins. We demonstrate here that mouse liver GPL
metabolism oscillates rhythmically with a precise tem-
poral control. Taking into account that our findings are
reported using an in vivo experimental model we cannot
discard the possibility that the mentioned mechanisms
oscillate rhythmically and in consequence regulate liver
PC content and the PC/PE ratio. In addition, as our
experimental design involved whole hepatic homogen-
ates, we cannot discard that diurnal variations may take
place in the size and proportion of liver organelles
involved in lipid synthesis as previously described
(Chedid & Nair, 1972; Uchiyama et al., 1981) as well as
in levels of S-adenosylmethionine and S-adenosylho-
mocysteine (Chagoya de Sanchez et al., 1991) to further
contribute to changes in the PC/PE ratio. Although
multiple levels of control may act to temporally regulate
the metabolism of PC in the murine liver, the activation
of specific key regulatory synthesizing enzymes at the
Daily rhythms in liver phospholipid synthesis 13
! Informa Healthcare USA, Inc.
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
level of expression and/or activity may differentially
contribute at particular times after LD synchronization.
The variations observed in the endogenous content of
PC in the mouse liver may be due at least in part to a
number of possibilities, such as a higher availability of
DAG differentially generated by PAP-1/lipin during
the day, an increase in PC production by LPCAT activity
at early subjective night or at dusk and/or concerted
changes in mRNA levels of the regulatory enzymes ChoK
and PEMT. In fact, the expression of both ChoK� and
PEMT mRNAs exhibited a significant daily variation in
the synchronized livers with highest levels during sub-
jective night in DD and the lowest values during the
projected day. Strikingly, ChoK has been shown to be
strongly expressed in tumor cells (Gallego-Ortega et al.,
2011) and although this enzyme is not the rate-limiting
enzyme in PC synthesis, it has been proposed to
function as a key regulatory enzyme (Araki &
Wurtman, 1998; Infante & Kinsella, 1978; Kent, 2005;
Marcucci et al., 2010) which seems to be tightly
regulated in a circadian manner. By contrast, no circa-
dian variations were seen in levels of CCT mRNA
isoforms (data not shown), which is the rate-limiting
enzyme. Although CPT has not been shown to be a
regulatory or rate-limiting enzyme in PC synthesis
(Infante, 1977), we cannot discard variations in its
levels of expression and/or activity over time.
Our findings suggest that both Chok and PEMT, at
least at the mRNA level, may temporally contribute to
the regulation of PC biosynthesis in the liver. It is
interesting to note that the alternative PC biosynthetic
pathway, involving PEMT to catalyze the formation of
PC from PE (Li & Vance, 2008) and reported to be of
great importance in the liver, displayed higher levels of
expression at night, at times at which nocturnal animals
are fully active. Apart from the clock regulation, PC
metabolism may also be regulated by homeostatic
mechanisms, such as substrate availability, the state of
enzyme activities (post-translational modifications and
subcellular localization), the presence of specific regu-
latory factor, and rate-limiting steps, among others
(Araki & Wurtman, 1998; Coleman & Mashek, 2011;
Hermansson et al., 2011; Kent, 2005). Although in our
experimental protocol animals were fed ad libitum,
since they have nocturnal habits, the highest concen-
tration of available nutrients and substrates are obtained
during the dark phase of the LD cycle or the subjective
night; in fact, animals eat around 80% of total daily food
during the night. Moreover, timed restricted feeding
(RF) might provide a time cue and reset the circadian
clock in the liver and other organs, leading to better
health (Adamovich et al., 2014; Sherman et al., 2012;
Vollmers et al., 2009). In addition, changes in catabolic
and anabolic pathways were reported to alter liver
metabolome and improve nutrient utilization and
energy expenditure (Hatori et al., 2012). However,
circadian clocks located in the liver and other organs
and tissues rule out a series of physiological functions
including those relating to lipid metabolism (Asher &
Schibler, 2011; Bass & Takahashi, 2010; Bray & Young,
2011; Eckel-Mahan et al., 2012), in all likelihood regard-
less of food availability, although the phases of the
oscillations can be altered. The disruption of the
circadian molecular clock may result in a number of
metabolic disorders including obesity and diabetes
(Durgan & Young, 2010; Froy, 2010; Green et al., 2008;
Maury et al., 2010; Sookoian et al., 2008; Takahashi
et al., 2008).
Overall, our observations lead us to infer that the
biosynthesis of whole GPLs and particularly of PC in the
mammalian liver undergoes clear temporal variations,
somehow sensing the time of day in relation to external
cues (food, temperature, hormones, etc.). The circadian
regulation of GPL content may be crucial to the
temporal organization of a number of cellular processes
such as membrane renewal and fluidity, vesicular
trafficking, exocytosis, membrane protein activity
(receptors, channels, etc.), second messenger reservoir
changes and/or cell proliferation under homeostatic
levels or regenerating conditions.
ACKNOWLEDGEMENTS
The authors thank Dr Daniela Bussolino for her excel-
lent technical support and collaboration.
DECLARATION OF INTEREST
The authors report no conflicts of interest.
This work was supported by Agencia Nacional de
Promocion Cientıfica y Tecnologica (FONCyT) (PICT
2004 N� 967, PICT 2006 N� 898 and PICT 2010 N� 647),
Secretarıa de Ciencia y Tecnica-Universidad Nacional
de Cordoba (SeCyT-UNC), Consejo Nacional de
Investigaciones Cientıficas y Tecnologicas de Argentina
(CONICET), Ministerio de Ciencia y Tecnica de
Cordoba, Fundacion Antorchas and Florencio Fiorini.
REFERENCES
Abe M, Herzog E, Yamazaki S, et al. (2002). Circadian rhythms in
isolated brain regions. J Neurosci. 22:350–6.
Acosta-Rodrıguez V, Marquez S, Salvador G, et al. (2013). Daily
rhythms of glycerophospholipid synthesis in fibroblast cultures
involve differential enzyme contributions. J Lipid Res. 54:
1798–811.
Adamovich Y, Rousso-Noori L, Zwighaft Z, et al. (2014). Circadian
clocks and feeding time regulate the oscillations and levels of
hepatic triglycerides. Cell Metab. 19:319–30.
Aoyama C, Liao H, Ishidate K. (2004). Structure and function of
choline kinase isoforms in mammalian cells. Progress in Lipid
Research, 43: 266–81.
Araki W, Wurtman RJ. (1998). How is membrane phospholipid
biosynthesis controlled in neural tissues? J Neurosci Res. 51:
667–74.
Asher G, Schibler U. (2011). Crosstalk between components of
circadian and metabolic cycles in mammals. Cell Metab. 13:
125–37.
14 L. D. Gornee et al.
Chronobiology International
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
Balsalobre A, Damiola F, Schibler U. (1998). A serum shock induces
circadian gene expression in mammalian tissue culture cells.
Cell. 93:929–37.
Bass J, Takahashi JS. (2010). Circadian integration of metabolismQ4and energetics. Science. 330:1349.
Bradford MM. (1976). A rapid and sensitive method for the
quantitation of microgram quantities of protein utilizing the
principle of protein-dye binding. Analyt Biochem. 72:248–54.
Bray M, Young ME. (2011). Regulation of fatty acid metabolism by
cell autonomous circadian clocks: Time to fatten up on
information? J Biol Chem. 286:11883–9.
Brindley DN. (2004). Lipid phosphate phosphatases and related
proteins: Signaling functions in development, cell division, and
cancer. J Cell Biochem. 92:900–12.
Castagnet PI, Giusto NM. (2002). Effect of light and protein
phosphorylation on photoreceptor rod outer segment acyl-
transferase activity. Arch Biochem Biophys. 403:83–91.
Chagoya de Sanchez V, Hernandez-Munoz R, Sanchez L, et al.
(1991). Twenty-four-hour changes of S-adenosylmethionine, S-
adenosylhomocysteine adenosine and their metabolizing
enzymes in rat liver; possible physiological significance in
phospholipid methylation. Int J Biochem. 23:1439–43.
Chedid A, Nair V. (1972). Diurnal rhythm in endoplasmic reticulum
of rat liver: Electron microscopic study. Science. 175:176–9.
Churchward MA, Brandman DM, Rogasevskaia T, Coorssen JR.
(2008a). Copper (II) sulfate charring for high sensitivity on-plate
fluorescent detection of lipids and sterols: Quantitative analyses
of the composition of functional secretory vesicles. J Chem Biol.
1:79–87.
Churchward MA, Rogasevskaia T, Brandman DM, et al. (2008b).
Specific lipids supply critical negative spontaneous curvature –
an essential component of native Ca(2+)-triggered membrane
fusion. Biophys J. 94:3976–86.
Coleman RA, Mashek DG. (2011). Mammalian triacylglycerol
metabolism: synthesis, lipolysis, and signaling. Chem Rev.
111:6359–86.
Csaki LS, Dwyer JR, Fong LG, et al. (2013). Lipins, lipinopathies,
and the modulation of cellular lipid storage and signaling. Prog
Lipid Res. 52:305–16.
Cui Z, Houweling M. (2002). Phosphatidylcholine and cell death.
Biochim Biophys Acta. 1585:87–96.
de Arriba Zerpa GA, Guido ME, Bussolino DF, et al. (1999). Light
exposure activates retina ganglion cell lysophosphatidic acid
acyl transferase and phosphatidic acid phosphatase by a c-fos-
dependent mechanism. J Neurochem. 73:1228–35.
Dıaz-Munoz M, Suarez J, Hernandez-Munoz R, et al. (1987). Day-
night cycle of lipidic composition in rat cerebral cortex.
Neurochem Res. 12:315–21.
Donkor J, Sariahmetoglu M, Dewald J, et al. (2007). Three
mammalian lipins act as phosphatidate phosphatases with
distinct tissue expression patterns. J Biol Chem. 282:3450–7.
Dunlap JC, Loros JJ, DeCoursey PJ. (2004). Chronobiology.
Biological timekeeping. Sunderland, MA: SINAUER edition.
Durgan DJ, Young ME. (2010). The cardiomyocyte circadian
clock: Emerging roles in health and disease. Circ Res. 106:
647–58.
Eckel-Mahan KL, Patel VR, Mohney RP, et al. (2012). Coordination
of the transcriptome and metabolome by the circadian clock.
Proc Natl Acad Sci USA. 109:5541–6.
Exton JH. (1994). Phosphatidylcholine breakdown and signal
transduction. Biochim Biophys Acta. 1212:26–42.
Fine JB, Sprecher H. (1982). Unidimensional thin-layer chroma-
tography of phospholipids on boric acid-impregnated plates.
J Lipid Res. 23:660–3.
Folch J, Lees M, Stanley Sloane GH. (1957). A simple method for
the isolation and purification of total lipides from animal
tissues. J Biol Chem. 226:497–509.
Froy O. (2010). Metabolism and circadian rhythms – Implications
for obesity. Endocine Rev. 31:1–24.
Gallego-Ortega D, Gomez del Pulgar T, Valdes-Mora F, et al. (2011).
Involvement of human choline kinase alpha and beta in
carcinogenesis: a different role in lipid metabolism and
biological functions. Adv Enzyme Reg. 51:183–94.
Garbarino-Pico E, Carpentieri AR, Castagnet PI, et al. (2004).
Synthesis of retinal ganglion cell phospholipids is under control
of an endogenous circadian clock: daily variations in phospho-
lipid-synthesizing enzyme activities. J Neurosci Res. 76:642–52.
Garbarino-Pico E, Valdez DJ, Contın MA, et al. (2005). Rhythms of
glycerophospholipid synthesis in retinal inner nuclear layer
cells. Neurochem Int. 47:260–70.
Gehrig K, Cornell RB, Ridgway ND. (2008). Expansion of the
nucleoplasmic reticulum requires the coordinated activity of
lamins and CTP: Phosphocholine cytidylyltransferase alpha.
Molec Biol Cell. 19:237–47.
Ginovker A, Zhikhareva A. (1982). Circadian rhythm of liver
phospholipids in normal hamsters and hamsters with
opisthorchiasis. Bull Exp Biol Med. 94:45–8.
Giusto NM, Bazan N. (1979). Phospholipids and acylglycerols
biosynthesis and 14CO2 production from [14C]glycerol in the
bovine retina: the effects of incubation time, oxygen and
glucose. Exp Eye Res. 29:155–68.
Giusto NM, Pasquare SJ, Salvador GA, et al. (2000). Lipid metab-
olism in vertebrate retinal rod outer segments. Prog Lipid Res.
39:315–91.
Giusto NM, Pasquare SJ, Salvador GA, Ilincheta de Boschero MG.
(2010). Lipid second messengers and related enzymes in
vertebrate rod outer segments. J Lipid Res. 51:685–700.
Giusto NM, Salvador GA, Castagnet PI, et al. (2002). Age-associated
changes in central nervous system glycerolipid composition
and metabolism. Neurochem Res. 27:1513–23.
Glunde K, Bhujwalla ZM, Ronen SM. (2011). Choline metabolism in
malignant transformation. Nature Rev Cancer. 11:835–48.
Green CB, Takahashi JS, Bass J. (2008). The meter of metabolism.
Cell. 134:728–42.
Guido ME, Garbarino-Pico E, Caputto BL. (2001). Circadian
regulation of phospholipid metabolism in retinal photorecep-
tors and ganglion cells. J Neurochem. 76:835–45.
Hatori M, Vollmers C, Zarrinpar A, et al. (2012). Time-restricted
feeding without reducing caloric intake prevents metabolic
diseases in mice fed a high-fat diet. Cell Metab. 15:848–60.
Hermansson M, Hokynar K, Somerharju P. (2011). Mechanisms of
glycerophospholipid homeostasis in mammalian cells. Prog
Lipid Res. 50:240–57.
Huang W, Ramsey KM, Marcheva B, Bass J. (2011). Circadian
rhythms, sleep, and metabolism. J Clin Invest 121:2133–41.
Hughes M, DiTacchio L, Hayes K, Vollmers C. (2009). Harmonics of
circadian gene transcription in mammals. PLoS Genet. 5:
e1000442.
Infante JP, Kinsella JE. (1978). Control of phosphatidylcholine
synthesis and the regulatory role of choline kinase in rat liver.
Evidence from essential-fatty acid-deficient rats. Biochem J.
176:631–3.
Infante JP. (1977). Rate-limiting steps in the cytidine pathway for
the synthesis of phosphatidylcholine and phosphatidylethano-
lamine. Biochem J. 167:847–9.
Karim MA, Jackson P, Jackowski S. (2003). Gene structure, expres-
sion and identification of a new CTP: Phosphocholine cytidy-
lyltransferase [beta] isoform. Biochim Biophys Acta (BBA).
1633:1–12.
Kennedy EP, Weiss SB. (1956). The function of cytidine coenzymes
in the biosynthesis of phospholipides. J Biol Chem. 222:
193–214.
Kent C. (2005). Regulatory enzymes of phosphatidylcholine bio-
synthesis: A personal perspective. Biochim Biophys Acta (BBA).
1733:53–66.
Kok BP, Venkatraman G, Capatos D, Brindley DN. (2012). Unlike
two peas in a pod: lipid phosphate phosphatases and
phosphatidate phosphatases. Chem Rev. 112:5121–46.
Daily rhythms in liver phospholipid synthesis 15
! Informa Healthcare USA, Inc.
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
Kornmann B, Schaad O, Bujard H, et al. (2007). System-driven and
oscillator-dependent circadian transcription in mice with a
conditionally active liver clock. PLoS Biol. 5:e34.
Larionov A, Krause A, Miller W. (2005). A standard curve based
method for relative real time PCR data processing. BMC
Bioinform. 6:62–78.
Leonardi R, Frank MW, Jackson PD, et al. (2009). Elimination of the
CDP-ethanolamine pathway disrupts hepatic lipid homeostasis.
J Biol Chem. 284:27077–89.
Li Z, Agellon LB, Allen TM, et al. (2006). The ratio of phosphat-
idylcholine to phosphatidylethanolamine influences membrane
integrity and steatohepatitis. Cell Metab. 3:321–31.
Li Z, Vance DE. (2008). Phosphatidylcholine and choline homeo-
stasis. J Lipid Res. 49:1187–94.
Livak KJ, Schmittgen TD. (2001). Analysis of relative gene expres-
sion data using real-time quantitative PCR and the 2-
[Delta][Delta] CT method. Methods. 25:402–8.
Marcucci H, Paoletti L, Jackowski S, Banchio C. (2010).
Phosphatidylcholine biosynthesis during neuronal differenti-
ation and its role in cell fate determination. J Biol Chem. 285:
25382–93.
Mardia KV. (1976). Linear-circular correlation coefficients and
rhythmometry. Biometrika. 63:403–5.
Marquez S, Crespo P, Carlini V, et al. (2004). The metabolism of
phospholipids oscillates rhythmically in cultures of fibroblasts
and is regulated by the clock protein PERIOD 1. FASEB J. 18:
519–21.
Matsuo T, Yamaguchi S, Mitsui S, et al. (2003). Control mechanism
of the circadian clock for timing of cell division in vivo. Science.
302:255–9.
Maury E, Ramsey KM, Bass J. (2010). Circadian rhythms and
metabolic syndrome from experimental genetics to human
disease. Circ Res. 106:447–62.
Menger GJ, Allen GC, Neuendorff N, et al. (2007). Circadian
profiling of the transcriptome in NIH/3T3 fibroblasts: compari-
son with rhythmic gene expression in SCN2. 2 cells and the rat
SCN. Physiolog Genom. 29:280–9.
Mohawk JA, Green CB, Takahashi JS. (2012). Central and peripheral
circadian clocks in mammals. Ann Rev Neurosci. 35:445–62.
Nagoshi E, Brown SA, Dibner C, et al. (2005). Circadian gene
expression in cultured cells. Meth Enzymol. 393:543–57.
Panda S, Antoch MP, Miller BH, et al. (2002). Coordinated
transcription of key pathways in the mouse by the circadian
clock. Cell. 109:307–20.
Pascual F, Carman GM. (2013). Phosphatidate phosphatase, a key
regulator of lipid homeostasis. Biochim Biophys Acta (BBA) –
Molec Cell Biol Lipids. 1831:514–22.
Pasquare de Garcia SJ, Giusto NM. (1986). Phosphatidate phos-
phatase activity in isolated rod outer segment from bovine
retina. Biochim Biophys Acta. 875:195–202.
Pasquare SJ, Giusto NM. (1993). Differential properties of phos-
phatidate phosphohydrolase and diacylglyceride lipase activ-
ities in retinal subcellular fractions and rod outer segments.
Compar Biochem Physiol Part B. 104:141–8.
Pasquare SJ, Salvador GA, Giusto NM. (2004). Phospholipase D and
phosphatidate phosphohydrolase activities in rat cerebellum
during aging. Lipids. 39:553–60.
Portaluppi F, Smolensky MH, Touitou Y. (2010). Ethics and
methods for biological rhythm research on animals and
human beings. Chronobiol Intl. 27:1911–29.
Ramırez de Molina A, Rodrıguez-Gonzalez A, Gutierrez R, et al.
(2002). Overexpression of choline kinase is a frequent feature in
human tumor-derived cell lines and in lung, prostate, and
colorectal human cancers. Biochem Biophys Res Commun. 296:
580–3.
Reddy AB, Karp NA, Maywood ES, et al. (2006). Circadian
orchestration of the hepatic proteome. Curr Biol. 16:1107–15.
Reue K, Brindley DN. (2008). Thematic review series: Glycerolipids.
Multiple roles for lipins/phosphatidate phosphatase enzymes
in lipid metabolism. J Lipid Res. 49:2493–503.
Sahar S, Sassone-Corsi P. (2012). Regulation of metabolism: The
circadian clock dictates the time. Trends Endocrinol Metab. 23:
1–8.
Sen A, Hui SW. (1988). Direct measurement of headgroup hydra-
tion of polar lipids in inverted micelles. Chem Phys Lipids. 49:
179–84.
Sherman H, Genzer Y, Cohen R, et al. (2012). Timed high-fat diet
resets circadian metabolism and prevents obesity. FASEB J. 26:
3493–502.
Shindou H, Hishikawa D, Harayama T, et al. (2009). Recent
progress on acyl CoA: Lysophospholipid acyltransferase
research. J Lipid Res 50:S46–51.
Shindou H, Shimizu T. (2009). Acyl-CoA: Lysophospholipid
acyltransferases. J Biol Chem. 284:1–5.
Sleight R, Kent C. (1983). Regulation of phosphatidylcholine
biosynthesis in mammalian cells. II. Effects of phospholipase
C treatment on the activity and subcellular distribution of CTP:
Phosphocholine cytidylyltransferase in Chinese hamster ovary
and LM cell lines. J Biol Chem. 258:831–5.
Sookoian S, Gemma C, Gianotti TF, et al. (2008). Genetic variants of
clock transcription factor are associated with individual sus-
ceptibility to obesity. Am J Clin Nutri. 87:1606–15.
Takahashi JS, Hong HK, Ko CH, McDearmon EL. (2008). The
genetics of mammalian circadian order and disorder:
Implications for physiology and disease. Nature Rev Genet. 9:
764–75.
Turek FW, Joshu C, Kohsaka A, et al. (2005). Obesity and metabolic
syndrome in circadian clock mutant mice. Science. 308:1043–5.
Uchiyama Y, Groh V, von Mayersbach H. (1981). Different circa-
dian variations as an indicator of heterogeneity of liver
lysosomes. Histochemistry. 73:321–37.
Van Meer G, Voelker DR, Feigenson GW. (2008). Membrane lipids:
Where they are and how they behave. Nature Rev Molec Cell
Biol. 9:112–24.
Vance DE, Vance JE. (2009). Physiological consequences of
disruption of mammalian phospholipid biosynthetic genes.
J Lipid Res. 50:S132–7.
Vance DE. (2002). Phospholipid biosynthesis in eukaryotes. New
Comprehens Biochem. 36:205–32.
Vollmers C, Gill S, DiTacchio L, et al. (2009). Time of feeding and
the intrinsic circadian clock drive rhythms in hepatic gene
expression. Proc Natl Acad Sci USA. 106:21453–8.
Weinhold PA, Charles L, Rounsifer ME, et al. (1991). Control of
phosphatidylcholine synthesis in Hep G2 cells, effect of fatty
acids on the activity and inmunoreactive content of choline
phosphate cytidylyltransferase. J Biol Chem. 266:6093–100.
Weinhold PA, Rethy VB. (1974). The separation, purification, and
characterization of ethanolamine kinase and choline kinase
from rat liver. Biochemistry. 13:5135–41.
Wu G, Vance DE. (2010). Choline kinase and its function. Biochem
Cell Biol. 88:559–64.
Supplementary material available online
Supplementary Table 1, Figure 1
16 L. D. Gornee et al.
Chronobiology International
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856