Candidate single‑nucleotide polymorphisms and cerebral palsy: A case‑control study

  • Authors:
    • Xiao‑Guang He
    • Qi Peng
    • Yan‑Hua Chen
    • Ting He
    • Hui Huang
    • Ze‑Ke Ma
    • Xue‑Jin Fan
    • Ling Luo
    • Shao‑Ji Liu
    • Xiao‑Mei Lu
  • View Affiliations

  • Published online on: September 25, 2015     https://doi.org/10.3892/br.2015.519
  • Pages: 849-852
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Abstract

Certain genetic polymorphisms have been suggested to be associated with cerebral palsy; the candidate genes are involved in thrombophilia, inflammation and preterm labor, but the mechanism remains to be elucidated. The aim of the present study was to investigate the associations between selected single‑nucleotide polymorphisms (SNPs) and cerebral palsy among children. A case‑control study was conducted, including 74 infants with cerebral palsy (case group) and 99 healthy infants (control group). The distributions of the allele and genotype frequencies were examined for the total cerebral palsy patient population in addition to subgroups divided according to gestational age (preterm versus full‑term). The results showed that the rs1042714 variant in adrenergic receptor β‑2 (ADRB2) and heterozygosity for ADRB2 were associated with the cerebral palsy risk among the preterm infants. No significant differences in the allele or genotype frequencies were observed between the total cerebral palsy patient population and controls for the eight SNPs investigated.

Introduction

Cerebral palsy, which is defined as a group of permanent developmental disorders that affect movement and posture and limit activity, has been attributed to non-progressive disturbances occurring during the development of the fetal or infant brain (13). It is one of the most common physical disabilities affecting children, with an occurrence rate of 2–3/1,000 live births. The prevalence has significantly increased with decreasing gestational age at birth (47). The major clinical manifestations of cerebral palsy include intellectual disability, hyperreflexia, clumsiness, unstable gait and hypersalivation (8). Although its etiology has been attributed to a variety of factors, the underlying mechanisms remain to be elucidated. Numerous risk factors for this condition have been identified, including neonatal asphyxia, intrauterine infection, premature labor and coagulation disorders (9,10). Evidence has indicated that genetics influence the occurrence of cerebral palsy. The familial aggregation of this disease in groups with high consanguinity and its increased familial risk, as indicated by a national Swedish database, suggest that genetic factors contribute to its risk (11,12). Previous studies have suggested that associations exist between certain genetic variants and susceptibility to cerebral palsy. Furthermore, the most promising candidates, single-nucleotide polymorphisms (SNPs), have known associations with fetal and maternal inflammatory responses, as well as thrombophilia and preterm labor (1315).

In the present study, a case-control study of Chinese children with cerebral palsy was performed to assess the association of this disease with eight selected SNPs in four genes [rs7095891, rs11003123 and rs1800450 in mannose-binding lectin-2 (MBL2), which is associated with the fetal inflammatory response; rs16476 in neuropeptide Y (NPY) and rs1801133 in methylenetetrahydrofolate reductase, which are associated with thrombophilia; and rs1042713, rs1042714 and rs1042717 in adrenergic receptor β-2 (ADRB2), which is associated with preterm birth].

Materials and methods

Participants

The present study cohort consisted of 74 patients with cerebral palsy chosen from cerebral palsy rehabilitation centers of Dongguan Children's Hospital (Dongguan, Guangdong, China). A total of 99 healthy control participants were recruited from the Child Healthcare Department at the same hospital during the same period and were matched for age, gender and ethnicity. All the participants were Han Chinese and were from Guangdong Province. The Institutional Ethics Committee of Dongguan Children's Hospital approved the study. Informed written consent was obtained from the parents or guardians on behalf of the infant participants. A child neurologist diagnosed the patients with cerebral palsy by either clinical examination or a review of their medical records. Children with hypotonia, ataxia, myopathy, a genetic syndrome or a chromosomal anomaly were excluded.

DNA preparation

Peripheral blood samples were obtained from the participants. A QIAamp DNA Blood Mini kit (Qiagen, Hilden, Germany) was used to extract genomic DNA from 200–400 µl peripheral blood following the manufacturer's protocols. DNA yield and quality were determined using a NanoDrop 8000 ultraviolet-visible spectrophotometry (Thermo Fisher Scientific, Wilmington, DE, USA).

Polymerase chain reaction (PCR) reaction

Specific primers were designed using Primer Premier 6.0 (Premier, Vancouver, BC, Canada) according to human genomic sequences in the NCBI gene bank (reference GRCh37, hg19). PCR was performed using a PTC-200 PCR machine (Bio-Rad, Berkeley, CA, USA) in a final reaction volume of 25 µl containing 2X GC buffer I, 2.5 mmol/l deoxyribonucleotide, 1.5 units of LATaq (Takara Bio, Dalian, China), 10 mmol/l of each primer and 1 µg of genomic DNA. The conditions used for PCR were pre-denaturation at 95°C for 2 min, 35 cycles of denaturation at 95°C for 30 sec, annealing for 30 sec (using 3 annealing temperatures of 60, 57 and 53°C for 7, 7 and 21 cycles, respectively), and extension at 72°C for 1 min. Subsequently, a final extension step was carried out at 72°C for 5 min. The PCR products were resolved using 2% agarose gel electrophoresis and purified with a Millipore MultiScreen-PCR 96 Filter Plate (Millipore, Billerica, MA, USA).

Sanger sequencing

The PCR products were used as templates in sequencing reactions according to the modified ABI Prism® BigDye Terminator protocol (Applied Biosystems, Foster City, CA, USA). Subsequently, all the PCR products were sequenced with an ABI Prism 3730 automated sequencer (Applied Biosystems). Chromatograms were analyzed using DNASTAR SeqMan software (DNASTAR, Madison, WI, USA).

Statistical analysis

Hardy-Weinberg equilibrium tests were conducted with Hardy-Weinberg test. The differences in the genotype distributions and allele frequencies were compared between the groups with the χ2 test using SPSS version 17 (SPSS, Inc., Chicago, IL, USA). The differences in demographic data were analyzed using t-tests. All the reported P-values were two-tailed, and P<0.05 was considered to indicate a statistically significant difference.

Results

Differences between the variables in the patient and control groups

The means and distributions for participant age, average maternal age at birth and the proportion of male participants were similar among the 74 children with cerebral palsy and 99 controls; however, significant differences were observed in the average gestational age and average birth weight (Table I). The genotypic distributions of the eight SNPs met Hardy-Weinberg equilibrium for the patient and control groups. The frequencies of the alleles and genotypes of the eight investigated SNPs are listed in Table II. Significant differences in the allele and genotype frequencies were not observed between the cerebral palsy patients and controls for any of the genetic polymorphisms (all P>0.05). The genotypic distributions were compared between the children with cerebral palsy and the control children, who were subdivided into term and preterm gestation groups. In the term group, no significant differences were observed with regard to genotype frequency between the cerebral palsy patients and controls for any of the genetic polymorphisms; however, rs1042714 was significantly associated with cerebral palsy risk among the infants who were born preterm (odds ratio=4.33; 95% confidence interval, 1.10–17.14; P=0.04) (Table III).

Table I.

Demographic data of the cerebral palsy and control groups.

Table I.

Demographic data of the cerebral palsy and control groups.

CharacteristicsCasesControls
No.7499
Age, years4.5±2.14.8±2.2
Gender, n (%)
  Male43 (58)52 (53)
  Female31 (42)47 (47)
Average maternal age at birth of participating child, years30.230.0
Average gestational age, weeks34.939.0
Average birth weight, g2,3353,125

Table II.

SNP allele and genotype frequencies in the CP and control groups.

Table II.

SNP allele and genotype frequencies in the CP and control groups.

SNPAllele frequency, nP-valueGenotype frequency, nP-valueH-W
MBL2
  rs7095891GA GGA/GAA
    CP131  170.58257170.5590.264
    Control180  18 8118 0.320
  rs1800450CT CCC/TTT
    CP126  220.5825320  10.7090.560
    Control163  35 6729  3 0.949
  rs11003123GA GGG/AAA
    CP131  170.58257170.5590.264
    Control180  18 8118 0.320
NPY
  rs16476AC AAA/CCC
    CP  91  570.4332835110.5040.991
    Control131  67 463914 0.232
MTHFR
  rs1801133TC TTC/TCC
    CP  331150.124  523460.1060.375
    Control  60138   74646 0.320
ADRB2
  rs1042713AG AAA/GGG
    CP  77  710.3591939160.5730.631
    Control114  84 325017 0.736
  rs1042714CG CCC/GGG
    CP132  160.2255914  10.2860.871
    Control185  13 8613 0.484
  rs1042717AG AAA/GGG
    CP  93  550.5322935100.7580.913
    Control132  66 444411 1.000

[i] H-W, Hardy-Weinberg; SNP, single-nucleotide polymorphism; CP, cerebral palsy; MBL2, mannose-binding lectin-2; NPY, neuropeptide Y; MTHFR, methylenetetrahydrofolate reductase; ADRB2, adrenergic receptor β-2.

Table III.

Genotypic distributions among the children with CP and controls for the term and preterm groups.

Table III.

Genotypic distributions among the children with CP and controls for the term and preterm groups.

Term group, no. (%)Preterm group, no. (%)


Gene symbolCPControlCPControl
MBL2
  rs7095891
    GG26 (76.5)47 (82.5)31 (77.5)34 (81.0)
    A/G  8 (23.5)10 (17.5)  9 (22.5)  8 (19.0)
    AA
  rs1800450
    CC27 (79.4)40 (70.2)26 (65.0)27 (64.3)
    C/T  7 (20.6)15 (26.3)13 (32.5)14 (33.3)
    TT2 (3.5)1 (2.5)1 (2.4)
  rs11003123
    GG26 (76.5)47 (82.5)31 (77.5)34 (81.0)
    G/A  8 (23.5)10 (17.5)  9 (22.5)  8 (19.0)
    AA
NPY
  rs16476
    AA12 (35.3)25 (43.9)16 (40.0)21 (50.0)
    A/C18 (52.9)22 (38.6)17 (42.5)17 (40.5)
    CC  4 (11.8)10 (17.5)  7 (17.5)4 (9.5)
MTHFR
  rs1801133
    TT2 (5.9)4 (7.0)3 (7.5)3 (7.1)
    C/T10 (29.4)25 (43.9)13 (32.5)21 (50.0)
    CC22 (64.7)28 (49.1)24 (60.0)18 (42.9)
ADRB2
  rs1042713
    AA  9 (26.5)19 (33.3)10 (25.0)13 (31.0)
    A/G18 (52.9)30 (52.7)21 (52.5)20 (47.6)
    GG  7 (20.6)  8 (14.0)  9 (22.5)  9 (21.4)
  rs1042714
    CC29 (85.2)47 (82.5)30 (75.0)39 (92.9)
    C/G  4 (11.8)10 (17.5)  10 (25.0)a  3 (7.1)a
    GG1 (3.0)
  rs1042717
    AA13 (38.2)27 (47.4)16 (40.0)17 (40.5)
    A/G17 (50.0)24 (42.1)18 (45.0)20 (47.6)
    GG  4 (11.8)  6 (10.5)  6 (15.0)  5 (11.9)

a Preterm group; heterozygous versus normal (odds ratio=4.33; 95% confidence interval, 1.10–17.14; P=0.04). SNP, single-nucleotide polymorphism; CP, cerebral palsy; MBL2, mannose-binding lectin-2; NPY, neuropeptide Y; MTHFR, methylenetetrahydrofolate reductase; ADRB2, adrenergic receptor β-2.

Discussion

The present case-control study did not find significant differences in the prevalence of the eight selected SNPs in the four genes between the children with cerebral palsy and the normal controls. However, rs1042714 in the ADRB2 gene was associated with the cerebral palsy risk among the premature children, which is consistent with the study by Gibson et al (16).

ADRB2 is involved in the regulation of cerebral blood flow, and possibly has a significant role in brain injury in preterm infants (16). The receptor-dependent responsiveness of cerebral blood flow to adrenergic stimulation is essential for fetal and neonatal adaptation to the stresses of birth, infection, hypoxia and hyperoxia (16). ADRB2 stimulation also influences placental circulation (17), modulates inflammatory responses to infection (18), and influences the secretion of C-reactive protein, a marker and participant in inflammation (19).

The present study did not find an association between cerebral palsy and all three SNPs in MBL2. The MBL2 gene encodes the soluble innate immune pathogen recognition protein MBL and has a vital role in defense during the early phase of infection (20). Previous studies have shown that associations exist between polymorphisms in the MBL2 gene and the subsequent development of cerebral palsy. These studies have hypothesized that a decrease in the level of MBL due to polymorphisms in this gene will result in a diminished innate immune response to infection, contributing to the pathogenesis of cerebral palsy (14). The present results are conflicting, which may be due to the presence of high genetic diversity due to the ethnic and population differences among studies. In addition, cerebral palsy is a complex disease caused by numerous factors, including genetic and other factors, which may interact and may also vary in different environments and conditions, affecting the incidence of this disease.

Furthermore, evidence has indicated that factors of thrombosis have important roles in brain infarctions in adults, children and neonates. Thrombophilia can result in cerebral infarction during the perinatal period, which can cause cerebral palsy via periventricular leukomalacia (21,22). In addition, thrombophilia has been associated with adverse pregnancy outcomes, such as fetal growth retardation and eclampsia, which are risk factors for cerebral palsy (23,24). In the present study, two genes that are possibly associated with thrombophilia were assessed; however, neither was associated with the risk of cerebral palsy. Thus, other candidate genes associated with thrombophilia should be investigated.

To the best of our knowledge, this is the first study to investigate the associations between cerebral palsy and three candidate genes (MBL2, NPY and ADRB2) among Chinese children. However, it is limited by its relatively small sample size. Future large case-control studies are required to verify the association between rs1042714 and the risk of cerebral palsy among preterm infants. Additionally, no information regarding maternal genotype or environmental risk factors was available. Larger sample sizes should be used and blood samples should be collected from parents to perform association analyses to evaluate the effects of maternal genetic variants on cerebral palsy.

Acknowledgements

The present study was supported by the Dongguan Bureau of Science and Technology for the City Key Program of Science and Technology (project no. 2012105102008).

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Spandidos Publications style
He XG, Peng Q, Chen YH, He T, Huang H, Ma ZK, Fan XJ, Luo L, Liu SJ, Lu XM, Lu XM, et al: Candidate single‑nucleotide polymorphisms and cerebral palsy: A case‑control study. Biomed Rep 3: 849-852, 2015
APA
He, X., Peng, Q., Chen, Y., He, T., Huang, H., Ma, Z. ... Lu, X. (2015). Candidate single‑nucleotide polymorphisms and cerebral palsy: A case‑control study. Biomedical Reports, 3, 849-852. https://doi.org/10.3892/br.2015.519
MLA
He, X., Peng, Q., Chen, Y., He, T., Huang, H., Ma, Z., Fan, X., Luo, L., Liu, S., Lu, X."Candidate single‑nucleotide polymorphisms and cerebral palsy: A case‑control study". Biomedical Reports 3.6 (2015): 849-852.
Chicago
He, X., Peng, Q., Chen, Y., He, T., Huang, H., Ma, Z., Fan, X., Luo, L., Liu, S., Lu, X."Candidate single‑nucleotide polymorphisms and cerebral palsy: A case‑control study". Biomedical Reports 3, no. 6 (2015): 849-852. https://doi.org/10.3892/br.2015.519