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Department of Veterinary and Comparative Anatomy, Pharmacology, and Physiology, College of Veterinary Medicine, Washington State University, Pullman, Washington 99164-6520
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ABSTRACT |
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Many theories propose that sleep serves a purpose in synaptic plasticity. We tested the hypothesis, therefore, that manipulation of sleep would affect the expression of molecules known to be involved in synaptic plasticity. mRNA expression of four molecules [brain-derived neurotrophic factor (BDNF), activity-regulated cytoskeleton-associated protein (Arc), matrix metalloproteinase-9 (MMP-9), and tissue plasminogen activator (tPA)] was determined after 8 h of sleep deprivation and after 6 h of a mild increase in ambient temperature, a condition that enhances sleep in rats. After sleep deprivation, BDNF, Arc, and tPA mRNAs in the cerebral cortex increased while MMP-9 mRNA levels decreased. Conversely, after enhanced ambient temperature, BDNF, Arc, and tPA mRNAs decreased while MMP-9 mRNA increased. In the hippocampus, sleep deprivation did not significantly affect BDNF and tPA expression, although Arc mRNA increased and MMP-9 mRNA decreased. Brain temperature enhancement decreased Arc mRNA levels in the hippocampus but did not affect BDNF, MMP-9, or tPA in this area. Results are consistent with the notion that sleep plays a role in synaptic plasticity.
rat; rapid eye movement sleep; ambient temperature; cortex; hippocampus
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INTRODUCTION |
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THE HYPOTHESIS THAT
SLEEP serves a synaptic function was first proposed by Moruzzi
(35). Although Moruzzi identified the level at which sleep
could serve a function, it was presented within the context of a
"local homeostasis" concept postulating that, during wakefulness,
there is an accumulation of "wear and tear" in used neurons and
that sleep serves to reverse these effects. In light of modern
knowledge that neural use enhances synaptic efficacy (for review see
Ref. 39), recent theories of sleep function have
emphasized synaptic plasticity (10, 12, 23, 32). Although
experimental support for these theories is limited, many of the
molecules well characterized for their participation in sleep
regulation (for review see Refs. 24 and 25) are also posited to play a role in synaptic plasticity. The list includes interleukin-1 (40, 49), tumor necrosis factor
(1), nitric oxide (5, 18), adenosine
(9), prostaglandins (3), nerve growth factor
(29, 30), and nuclear factor-
B (39).
There is a relatively large literature, prompted by the Hebbian learning hypothesis (17), demonstrating changes in molecular markers of synaptic plasticity induced by long-term memory tasks (for review see Ref. 2). There is yet another literature, although somewhat smaller, demonstrating the influence of sleep on memory (42, 43). There is, however, little information concerning the influence of sleep loss or conditions that induce excess sleep on expression of molecules previously linked to synaptic plasticity. We investigated, therefore, the changes in mRNA associated with sleep deprivation and excess sleep of four molecules tightly linked to synaptic plasticity (for review see Ref. 2): activity-regulated cytoskeleton-associated protein (Arc), matrix metalloproteinase-9 (MMP-9), tissue plasminogen activator (tPA), and brain-derived neurotrophic factor (BDNF). BDNF is also directly linked to sleep regulation; injection of exogenous BDNF induces non-rapid eye movement sleep (NREMS) and rapid eye movement sleep (REMS) (27), and BDNF in the cerebral cortex increases during sleep deprivation (7, 38). We report here that sleep loss and a mild increase in ambient temperature (Tamb), a condition that enhances sleep in rats, affect the expression of Arc, MMP-9, tPA, and BDNF mRNAs.
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METHODS |
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Sleep deprivation. Adult male Sprague-Dawley rats (320-350 g) were housed separately in a sound-attenuated environmental chamber (Hotpack 35-260) on a 12:12-h light-dark cycle (lights on at 0800) at 25°C. Rats were acclimated to the housing conditions for 10 days before they were killed. Four groups of rats (n = 8 in each group) were used. Group I rats were controls and were killed at 1600. Group II rats were deprived of all sleep by gentle handling as previously described (48) from 0800 to 1600. Samples comprising groups I and II were processed together. Group III rats were control rats for group IV and were killed at 1800. Group IV rats were sleep deprived for 8 h, allowed to recover for 2 h, and then killed at 1800. Rats in groups III and IV were processed separately from other groups. Rats were decapitated, and the cortex and hippocampus were rapidly dissected and quickly frozen in liquid N2. The time to remove, dissect, and freeze the tissue samples was <5 min.
Enhanced brain temperature. Adult male Sprague-Dawley rats (300-350 g) were used and housed separately as described above. Two groups of rats (n = 8 in each group) were used. Group V rats were control rats for group VI rats, and they were housed at 25°C; they were killed at 1400. Group VI rats were acclimated to 25°C housing conditions as were group V rats, but at 0800 their ambient temperature (Tamb) was increased to 28°C for the next 6 h. This mild increase in Tamb induces increases in NREMS and REMS (36, 47). Group VI rats were then killed at 1400. Rats in groups V and VI were killed, and brains were removed and dissected as described above.
RNA extraction. Total RNA was extracted by the method developed by Chomczynski and Sacchi (6) using RNA STAT-60 according to the manufacturer's protocol (TelTest B, Friendswood, TX). The RNA was dissolved in sterile water and checked using formaldehyde-containing agarose electrophoresis, and then the RNA concentration was determined by absorbance at 260 nm.
RT-PCR.
The first-strand cDNA synthesis procedure was described in detail
previously (4). Briefly, aliquots (2 µg/4 µl) of each dilution of RNA solutions and 0.5 µg of
oligo(dT)12-18 were incubated at 70°C for 10 min.
After the aliquot was chilled on ice, 200 U of Superscript II RNase H
reverse transcriptase (RT; GIBCO BRL, Grand Island, NY), dNTPs, and
buffer were added to a final volume of 20 µl and incubated at 42°C
for 70 min. The mixture was heated at 95°C for 10 min, and then the
cDNA was cooled to room temperature and stored at
20°C until
further analysis.
-32P]dCTP
(3,000 Ci/mmol; NEN, Boston, MA), 1× reaction buffer, and each
gene-specific primer at 0.2 µM. PCR was carried out in a Stratagene
Hot Top Assembly for the RoboCycler temperature cycler as follows:
94°C for 3 min followed by 23 cycles at 94°C for 1 min, 61°C for
1 min, and 72°C for 1.5 min for amplification of Arc mRNA and 23 cycles at 63°C for tPA; 22 cycles at 58°C for BDNF; 24 cycles at
58°C for MMP-9 mRNA; and 17 cycles at 61°C for CycA mRNA. PCR
products (5 µl of CycA and 5 µl of target gene) were loaded on a
3.5% polyacrylamide gel. Total optical density of autoradiograms was
measured and quantified using the Phosphoimage Processing and Analysis
System (Packard Bioscience, Meriden, CT). The cycle numbers were
determined to fall within the linear ranges of amplification for each
molecule (Fig. 1).
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Real-time PCR for Arc and MMP-9.
Real-time PCR was performed on an iCycler iQ Multi-Color Detection
System (Bio-Rad Laboratories, Hercules, CA) using iCycler IQ 96-well
plates (Bio-Rad Laboratories). The PCR mixture (25 µl) contained 5 µl of the diluted cDNA (same concentration as above), 12.5 µl of
2× platinum quantitative PCR Super Mix-UDG (GIBCO BRL, Rockville, MD;
60 U/ml platinum Taq DNA polymerase, 40 mM
Tris · HCl, pH 8.4, 100 mM KCl, 6 mM MgCl2, 400 µM dGTP, 400 µM dATP, 400 µM dCTP, 800 µM dUTP, 40 U/ml UDG),
2.5 µl (1:10,000 dilution) of SYBR green (Molecular Probes, Eugene,
OR), and 0.5 pmol of each primer (Table 1). The PCRs were carried out
at the initial steps at 50°C for 3 min and 95°C for 2 min followed
by 40 cycles as follows: denaturation for 45 s at 94°C and
45 s at annealing temperature (61°C for Arc, 58°C for MMP-9,
and 58°C for CycA) and extension for 60 s at 72°C. Gene
expression was calculated using a comparative threshold cycle
(Ct) method (User Bulletin 2 ABI PRISM 7700 sequence
detection system, PE Applied Biosystems). At the end of each cycle, the
fluorescence emitted by SYBR green was measured. All the reactions of
the samples were performed in duplicate, and each Ct value
was an average of the values obtained from each reaction. The
Ct values were determined by subtracting the average
CycA Ct value from control Ct values and the
Arc or MMP-9 Ct values, i.e., 2
[
Ct
Ct(control mean)], for each
set of data. Student's t-tests were used to compare control values with those obtained for Arc or MMP-9.
RNase protection assay for BDNF.
BDNF mRNA and L32 mRNA levels were estimated by using the RiboQuant
multiprobe RNase protection assay (RPA) system (Pharmingen, San Diego,
CA) according to the manufacturer's instructions. Briefly, the
radiolabeled antisense RNA probe set was synthesized in a final 20-µl
reaction mixture, which contained 40 U of RNasin, 20 U of T7
polymerase, 100 µCi of [
-32P]UTP (3,000 Ci/mmol;
Amersham, Piscataway, NJ), 2.75 nmol each of GTP, ATP, and CTP, 61 pmol
of UTP, 200 nmol of dithiothreitol, and 1× transcription buffer and
the RPA templates (Pharmingen). The probe template set generated a
315-nt antisense probe that protects 286 nt in the rat BDNF mRNA
(GenBank accession no. D10938, nt 2138-2423) and a 141-nt
antisense probe that protects 112 nt in the rat L32 mRNA (GenBank
accession no. X06483, nt 201-312). After incubation at 37°C for
1 h, the reaction was treated with DNase I (2 U; Promega) for 30 min at 37°C, and the probe was purified with phenol-chloroform and
chloroform and precipitated with ethanol. The target RNA (15 µg) was
dissolved in 8 µl of hybridization buffer, to which 2 µl (3 × 105 cpm/µl) of 32P-labeled probe were added.
All samples, including a degradation control (10 µg of yeast tRNA)
and Pharmingen control RNA (2 µg), were overlaid with mineral oil,
heated to 90°C, and then immediately reduced to 56°C and incubated
for 12-16 h. The samples were then digested by a mixture (100 µl) of RNase A (80 ng/µl) and RNase T1 (250 U/µl) at 30°C for
45 min. Then 18 µl of a solution of proteinase K (10 mg/ml), yeast
tRNA (2 mg/ml), and 1× proteinase K buffer were added, and the sample
was incubated at 37°C for 15 min. The RNA was extracted and
precipitated as described above, air-dried and dissolved in 1× loading
buffer, denatured at 90°C for 3 min, and then resolved on a 5%
acrylamide-8 M urea sequencing gel. Gels were dried under vacuum for
2 h at 80°C. Radioactivity was quantified with a Cyclone
PhosphorImager and OptiQuant analysis software (Packard Bioscience).
Additional reagents were supplied by the RPA kit.
cDNA analysis. PCR products were excised and purified from agarose gels with use of a commercial gel extraction kit (QIAEX II, Santa Clarita, CA) following recommended protocols. Ten microliters (containing 1-1.5 µg of cDNA) of each gel-purified cDNA (Arc, CycA, BDNF, tPA, and MMP-9) were then subjected to restriction digestion with BanI and BanII (BioLabs, Beverly, MA) and SamI, SacI, and BamHI (Promega), respectively. All restriction digests included 20 U of enzyme in a total of 50 µl of reaction volume and were incubated for 2 h at 37°C. Ten microliters of each reaction were then loaded on 1.5% agarose gel containing ethidium bromide (0.5 µg/ml). Gels were run at 100 V for 60 min, and bands were photographed under ultraviolet light using a charge-coupled device camera (Gel Doc 1000 fluorescent gel documentation system, Bio-Rad Laboratories). cDNA fragments obtained from each enzymatic digestion were of the correct size on the basis of the predicted amplified sequence (data not shown).
Statistical analysis.
Using results from phosphorimaging data, we determined the ratio of the
density of the target RNA, relative to that of the internal standard,
expressed as mean ± SE. Data were analyzed using one-way analysis
of variance followed by multiple comparison testing by the
Student-Newman-Keuls method. If tests for normality failed, the data
were analyzed using Kruskal-Wallis analysis of variance on ranks.
Differences were considered significant if probability values for
t or q were less than
= 0.05.
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RESULTS |
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Effects of sleep deprivation.
After 8 h of sleep deprivation, BDNF mRNA determined by RT-PCR
increased by ~120% in the cortex (compare group I with
group II in Table 2, Fig.
2). In contrast, sleep deprivation did
not affect BDNF mRNA levels in the hippocampus (Table 2). With the use
of a different method of analysis, i.e., RPA, similar results were
obtained. Thus cortical levels of BDNF mRNA determined by RPA increased
and hippocampal levels were not affected after sleep deprivation (Table
3, Fig.
3). After 2 h of recovery
following 8 h of sleep deprivation, BDNF mRNA levels, determined
by RT-PCR, were indistinguishable from corresponding control values in
the cortex and hippocampus (compare group III with
group IV in Table 2).
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Effects of mild increases in Tamb.
After 6 h at 28°C, BDNF mRNA levels decreased significantly in
the cortex (compare group V with group
VI in Table 4; Fig. 2,
right). Although BDNF mRNA levels were less in the
hippocampus after 6 h at 28°C, they did not reach statistical
significance. Arc mRNA levels determined by RT-PCR or real-time PCR
also significantly decreased after 6 h at 28°C in the cortex. In
contrast to BDNF mRNA, the mild increase in Tamb also
resulted in a significant decrease in Arc mRNA levels in the
hippocampus (Table 4). MMP-9 levels were significantly increased in the
cortex after treatment at 28°C Tamb whether determined by
RT-PCR or real-time PCR. In the hippocampus, MMP-9 values increased
almost threefold as determined by RT-PCR (not significant) and about
twofold as determined by real-time PCR (significant). tPA mRNA levels,
on the other hand, significantly decreased in the cortex after 6 h
of treatment at 28°C Tamb. tPA mRNA levels in the
hippocampus were not affected by the Tamb treatment.
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DISCUSSION |
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The results presented here are consistent with previous related work. Thus BDNF mRNA levels were previously reported to increase after sleep deprivation (7, 8, 38). Furthermore, RT-PCR-derived data were confirmed by RPA- or real-time PCR-derived data. The decreases in MMP-9 mRNA after sleep deprivation are similar to decreases in MMP-9 enzymatic activity (J. W. Harding and J. Wright, unpublished observations) after 8 h of sleep deprivation following learning trials in a Morris water maze. Finally, Cerelli and Tononi (7, 8) also reported that Arc mRNA and protein levels are higher after sleep deprivation than after sleep. The present results extend these previous findings by providing a systematic comparison of the expression of mRNA of four synaptic plasticity-associated molecules after sleep deprivation and after 2 h of recovery following sleep deprivation. We also determined what happens to the expression of these molecules after an increase in Tamb, a condition that enhances sleep (36).
Sleep deprivation is used often in sleep research to investigate the homeostatic regulation of sleep; after sleep deprivation, sleep rebound occurs. This rebound sleep is thought to result from the enhanced production during sleep deprivation of sleep-promoting and sleep-regulatory substances. For instance, the transfer of cerebrospinal fluid from sleep-deprived to non-sleep-deprived animals induces increases in sleep in the recipient (37). As indicated in the introduction, many of the well-characterized sleep-regulatory substances are also involved in synaptic plasticity. BDNF may be one of these sleep-regulatory substances, although evidence for its role in sleep regulation is limited to the findings that if it is injected, it induces sleep (27) and its levels in the cortex increase during sleep deprivation (7, 38). However, there is extensive evidence for its role in neurite growth and synaptic plasticity (for review see Ref. 34). Whether the other substances measured in this study, Arc, MMP-9, or tPA, have any role in sleep regulation has not been investigated. However, given the extensive evidence for their involvement in synaptic plasticity (for review see Ref. 2), that their levels are affected by sleep loss and excess sleep could be indicative of their involvement in sleep function.
Many studies in several species have confirmed the finding that mild increases in Tamb are associated with increases in NREMS and REMS (36). REMS is particularly sensitive to Tamb; maximum duration of REMS occurs at thermoneutral Tamb (47). Electroencephalographic (EEG) and electromyographic recordings from our animals would have been necessary to determine the amount of sleep they had before death. However, we chose not to implant EEG and electromyographic electrodes, because wounds induce long-term upregulation of cytokines, which, in turn can affect expression of some of the molecules we measured, e.g., MMP-9 (50). Furthermore, the presence of EEG electrodes on the surface of the dura could lead to inflammation; the cytokine-chemokine cascade associated with inflammatory responses would likely affect expression of a host of molecules, including those we measured. Finally, the observation that mild increases in Tamb enhance sleep is one of the most reliable, reproducible results in sleep research. The advantage of using Tamb to manipulate sleep is that it does not involve handling the animals, nor is it a stressor.
A fundamental hypothesis forming the basis for Hebbian learning is that synaptic activation enhances the efficacy of transmission in those synapses during subsequent activation. The enhanced efficacy is thought to result from molecules, the upregulation and release of which are dependent on synaptic activation (for review see Refs. 16 and 28). Arc is an immediate-early gene (30). Arc protein interacts with cytoskeletal protein and likely modifies structural protein. There is strong evidence that Arc mRNA and protein are tightly coupled to the activity state of neurons (28, 30). Within 30 min of neural activation, Arc mRNA is found throughout the dendrites of granule cell neurons (16, 28, 30, 44). Translation of Arc mRNA in specific activated dendrite spines is likely targeted via the assembly of the translational complex, which is induced by activation of metabotropic glutamate receptors (45). This represents a mechanism by which the initiation of Hebbian learning by waking activities can be targeted to the specific circuits activated. Furthermore, caffeine, a well-known inhibitor of sleep, induces Arc expression via a step involving the adenosine A1 receptor (11). That prolonged wakefulness (sleep loss) and excess sleep alter Arc mRNA expression may reflect a disturbance of this mechanism.
A well-recognized action of tPA is to catalyze the cleavage of plasminogen to the active protease plasmin. Plasmin is an important activator of latent MMPs. As such, we anticipated that increased tPA mRNA would translate into increased MMP-9 mRNA. That it did not is likely due to the multiple roles of tPA. Furthermore, we measured MMP-9 mRNA, not protein activity; tPA and plasmin may not affect MMP-9 mRNA expression. Nonetheless, tPA is recognized as a participant in neural remodeling (15), and our results indicate that its mRNA is affected by sleep loss and excess sleep.
The extracellular matrix is of central importance to nervous tissue structure and function. The composition of the extracellular matrix is in a dynamic flux that represents a balance between synthesis of components and degradation, which is mediated by MMPs. The involvement of MMP-9 in neural plasticity has been suggested by several studies (for review see Ref. 2). MMP-9 expression is evident at the neuromuscular junction and is enhanced after nerve crush at a time when repair and remodeling are occurring (22). Second, human gliomas in culture exhibit an inverse relationship between MMP-9 and neural cell adhesion molecule (31), thereby suggesting that perhaps the MMP-9 is degrading neural cell adhesion molecule with the purpose of decreasing cell adhesiveness and augmenting the potential for structural reorganization. Finally, expression of MMP-9 occurs in the rat hippocampus during the consolidation phase of spatial learning (19). Our result that MMP-9 mRNA is downregulated by sleep loss is consistent with the notion that MMP-9 plays a role in learning, since sleep loss attenuates memory consolidation (42, 43).
Perspectives
There is a growing body of evidence suggesting that sleep is not a uniform process of the entire brain but is, instead, a local property of highly interconnected neurons and that the local state shifts are dependent on prior neural activity, rather than duration of wakefulness (23). Initially predicted from theoretical considerations (23, 25), it was subsequently shown that patterns of brain activity during sleep are dependent on prior wakefulness activity. For example, Kattler et al. (21) demonstrated that mechanical stimulation of one hand enhances EEG slow-wave activity [a measure of the depth of sleep (37)] in the contralateral somatosensory cortex during subsequent sleep. Drummond et al. (13), using functional magnetic resonance imaging, reached the conclusion that the localized effects of sleep deprivation are dependent, in part, on the specific cognitive task performed in prior wakefulness. These and other data suggest that sleep is targeted and, similar to synaptic efficacy, dependent on prior synaptic activation. Our data are consistent with this notion to the extent that manipulations that affect sleep, sleep deprivation and mild increases in Tamb, affected expression of molecules associated with synaptic plasticity.| |
ACKNOWLEDGEMENTS |
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This work was supported in part by National Institutes of Health Grants NS-25378, NS-31453, and HD-36520 and by a grant from the Sleep Medicine Education and Research Foundation, a foundation of the American Academy of Sleep Medicine.
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FOOTNOTES |
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Address for reprint requests and other correspondence: J. M. Krueger, Dept. of Veterinary and Comparative Anatomy, Pharmacology, and Physiology, College of Veterinary Medicine, PO Box 646520, Washington State University, Pullman, WA 99164-6520 (E-mail: krueger{at}vetmed.wsu.edu).
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 16 June 2000; accepted in final form 26 April 2001.
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