Just Accepted by International Journal of Neuroscience

Long Term Metabolic Alterations in a Febrile Seizure Model Duanhe Heng, Zhongcheng Wang, Yuanteng Fan, Liang Li, Jian Fang, Song Han, Jun Yin, Biwen Peng, Wanhong Liu, Xiaohua He doi:10.3109/00207454.2015.1018385

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Abstract Objective: Febrile seizures (FS) are the most common neurological disease in infancy and early childhood, it can lead to metabolic changes and have long-term health implications. Aim of this study was to investigate the long-term effects of FS on metabolism. Methods: We measured certain metabolic parameters in hyperthermia-prone (HP) rats, which were developed using a selective breeding process and showed a lower seizure threshold than wild-type (WT) rats. Body weight, body length, abdominal circumference and the levels of fasting blood glucose, serum triglyceride and total cholesterol concentrations were analyzed. The mRNA expression of genes involved in glucose and lipid metabolism was determined by qPCR and the histone methylation level in the liver was determined by western blot. Results: We found that the body weight of the HP rats was significantly lower than that of the WT rats. Similarly, the fasting blood glucose and serum triglyceride levels were lower in the HP group compared with the WT group. These changes were accompanied by increased mRNA expression of genes such as phosphoenolpyruvate carboxykinase (PEPCK) and carnitine palmitoyl transferase-1 (CPT-1), but not peroxisome proliferator-activated receptor α (PPARα). We also found tri-methylation of histone 3 at Lys9 and Lys27 was decreased in the HP group. Conclusions: These data may suggest an underlying mechanism by which FS have a long-term effect on energy metabolism via histone methylation.

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Long Term Metabolic Alterations in a Febrile Seizure Model Duanhe Heng1#,Zhongcheng Wang1#, Yuanteng Fan1 , Liang Li1, Jian Fang1,

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Song Han1, Jun Yin1, Biwen Peng2, Wanhong Liu2, Xiaohua He1,2§

Department of Pathophysiology, School of Basic Medical Sciences, Wuhan

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Hubei Provincial Key Laboratory of Developmentally Originated Disease,

§

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School of Basic Medical Sciences, Wuhan University, Wuhan, China

Corresponding authors. Dr. Xiaohua He: School of Basic Medical Sciences,

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Wuhan University, Donghu Road No. 185, Wuchang, Wuhan 430071, China. Tel.:86-27-68759985. Fax: 86-27-68759991. E-mail: [email protected].

These authors contributed equally to this work.

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Abstract

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University, Wuhan, China

Objective: Febrile seizures (FS) are the most common neurological

disease in infancy and early childhood, it can lead to metabolic changes and have long-term health implications. Aim of this study was to investigate the long-term effects of FS on metabolism. Methods: We measured certain metabolic parameters in hyperthermia-prone (HP) rats, which were developed using a selective breeding process and showed a 1

lower seizure threshold than wild-type (WT) rats. Body weight, body length, abdominal circumference and the levels of fasting blood glucose, serum triglyceride and total cholesterol concentrations were analyzed.

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The mRNA expression of genes involved in glucose and lipid metabolism was determined by qPCR and the histone methylation level in the liver

of the HP rats was significantly lower than that of the WT rats. Similarly,

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the fasting blood glucose and serum triglyceride levels were lower in the HP group compared with the WT group. These changes were

accompanied by increased mRNA expression of genes such as

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phosphoenolpyruvate carboxykinase (PEPCK) and carnitine palmitoyl transferase-1 (CPT-1), but not peroxisome proliferator-activated receptor α (PPARα). We also found tri-methylation of histone 3 at Lys9 and Lys27

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was decreased in the HP group. Conclusions: These data may suggest an underlying mechanism by which FS have a long-term effect on energy metabolism via histone methylation.

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was determined by western blot. Results: We found that the body weight

Key

words:

Febrile

seizures,

metabolism,

methylation

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epigenetics,

histone

Introduction Febrile seizures (FS) are the most common disease of the nervous system in the pediatric population [1], affecting approximately 2-5% of

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all children and usually occurring between 3 months and 5 years of age

[2]. During FS, the central nervous system appears to be overexcited, and

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Meanwhile, the rates of glucose metabolism and neuronal oxygen

consumption increase [4]. FS can also cause malfunctions in the brain and result in various metabolic disorders in peripheral tissue [5]. For example, FS are frequently associated with stress hyperglycemia in children, which

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is associated with a high risk for the development of type I diabetes [6, 7]. The coexistence of seizures or epilepsy and type 1 diabetes has been observed in epidemiological surveys [8]. Furthermore, decreased blood

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glucose levels were detected in the kainite-induced epilepsy model, and blood glucose levels modulate seizure sensitivity [9]. Other research showed that an increasing seizure duration might be associated with

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the sensitivity of brain cells to internal and external stimuli increases [3].

aberrant glucose levels [10]. Other studies have suggested that the serum sodium, calcium and blood glucose levels in children with FS are generally abnormal [11]. However, there have been few studies on the long-term effects of FS on metabolism. Altered phenotypes and metabolism can involve changes in the epigenome [12], including altered DNA methylation and histone 3

modification [13]. For example, histone methyltransferases and demethylases, which correlate with metabolic abnormalities in certain metabolic disorders such as type-2 diabetes and obesity, can connect

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metabolism and transcription [14, 15]. PEPCK and CPT-1 are the rate-limiting enzymes in gluconeogenesis and fatty acid oxygenolysis,

triglyceride metabolism. PEPCK is transcriptionally regulated by histone

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H3 lysine 27 trimethylation (H3K27me3) [16]. The mRNA expression of

hepatic PPARα and CPT-1, which play important roles in glucose and lipid metabolism, is regulated by DNA methyltransferase activity [17].

processes.

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Therefore, epigenetic modifications potentially regulate metabolic

We previously developed a rat model of FS with a lower seizure

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threshold, the hyperthermia-prone (HP) rat [18, 19]. Using this rat model, we identified numerous FS susceptibility genes related to metabolism [20]. In this study, we measured particular metabolic parameters and the

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respectively. Therefore, they are critical for fasting glucose and

expression of key genes that are related to metabolism in HP and wild-type (WT) rats. We aimed to determine whether the differences between the two groups were induced by epigenetic changes that altered specific metabolites.

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Materials and Methods Ethics Statement All the protocols complied with the recommendations in the Guide for

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the Care and Use of Laboratory Animals, Biosafety Level 3 (ABSL-3), and were approved by the Animal Ethics Committee of Wuhan University

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suffering. Animals and Sample Collection

WT Sprague-Dawley rats (n=12) were obtained from the ABSL-3

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Laboratory. Unless otherwise noted, 14-day-old HP and WT rats were used for the experiments. Rats were housed individually on a 12-h light-dark cycle with ad libitum access to food and water. The HP pups

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(n=12) were randomly selected from the HP rat strains we built previously [19]. The body weight of the two groups was measured daily from PN14 to PN23. From 4th week to 16th week, the body weight, body

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(Permit Number: SCXK 2008-0004). All efforts were made to minimize

length and abdominal circumference of each rat were measured each week. Blood samples were collected from the 24 rats via the tail vein to measure metabolism markers at 1 month and 4 months of age. After 4 months, all the animals were sacrificed after anesthesia with chloral hydrate. The liver was dissected and frozen in liquid nitrogen.

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Analysis of Metabolic Parameters In all the groups, tail vein blood was collected to analyze the metabolic parameters. The tail vein blood of the rats was collected after a

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night of fasting subjects. Fasting blood glucose levels were immediately measured using a Roche glucometer (Roche Diagnostics GmbH,

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ice and centrifuged (3000 rpm, 15 min) to obtain serum. Serum triglyceride and total cholesterol levels were then measured using commercial assay kits (Mingdian, Shanghai, China). The catalog numbers

Real-Time PCR

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are triglyceride (T010M0120) and total cholesterol (C011M0120).

Total RNA was isolated from livers, and 1 μg was used as a template to prepare cDNA. cDNA was amplified using real-time PCR primers using a

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RevertAidTM First Strand cDNA Synthesis Kit (Thermo Scientific, Pittsburgh, USA). The following primers were used to selectively amplify regions of the β-actin, PEPCK, CPT-1 or PPARα promoters: β-actin,

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Mannheim, Germany), and the remaining blood samples were stored on

5’-CACGATGGAGGGGCCGGACTCATC-3’

and

5’-TAAAGACCTCTATGCCAACACAGT-3’;

PEPCK,

5’-AGCTGCATAATGGTCTGG-3’

and

5’-GAACCTGGCGTTGAATGC-3’;

CPT-1,

5’-ACCACTGGCCGAATGTCAAG-3’ 5’-AGCGAGTAGCGCATGGTCAT-3’; 6

and and

PPARα,

and

5’-CGGGTCATACTCGCAGGAAAG-3’

5’-TGGCAGCAGTGGAAGAATCG-3’. All primers were designed by Primer Premier 5.0 software. Using a Real Master mix (SYBR Green) Kit

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(GeneCopoeia, China) and an iQ5 Real Time PCR Detection System (Bio-Rad, US), qRT-PCR was performed according to the manufacturer’s

analysis. Rat β-actin was always amplified in parallel with the

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experimental genes. The relative expression ratio was determined by the 2-△△Ct method. Western Blot

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After anesthesia, freshly isolated liver tissues were collected, and the protein content was determined using a BCA Protein Quantitation Kit (Thermo Scientific, Pittsburgh, USA). Twenty micrograms of protein was

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loaded per lane. After separation in SDS-PAGE gel, the protein was transferred to nitrocellulose paper, and nonspecific protein binding sites were blocked with 5% bovine serum albumin. The blots were incubated

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protocols. Single PCR products were further verified by melt curve

with primary antibodies overnight at 4 ℃ . All primary antibodies (H3K4me3(ab8580), H3K9me3(ab8898), H3K27me3(mab6002) and β-actin(mab8226)) were purchased from Abcam. The primary antibody dilution buffer was 3% bovine serum albumin. The blots were subsequently incubated for 2 h with a horseradish peroxidase-conjugated secondary antibody (1:20,000; Abmart). Immunoreactivity was visualized 7

using an ECL detection system (Thermo Scientific, Pittsburgh, USA). Data were quantified by using the Quantity One software. Statistical Methods

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The data were analyzed with SPSS 17.0 software to evaluate the

differences between the two groups. The data were presented as the mean

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weight, body length and abdominal circumference comparisons between the groups were analyzed by repeated measures ANOVA. Fasting blood glucose, serum triglyceride and total cholesterol levels as well as the

Results

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real-time PCR results were analyzed using a t test.

Body Weight, Body Length, and Abdominal Circumference

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The body weight of infant rats was lower in the HP group (n=12) than in the WT group from PN14 to PN23 (P

Long-term metabolic alterations in a febrile seizure model.

Febrile seizures (FS) are the most common neurological disease in infancy and early childhood, it can lead to metabolic changes and have long-term hea...
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