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Article

Genetic Polymorphisms, Gene–Gene Interactions and Neurologic Sequelae at Two Years Follow-Up in Newborns with Hypoxic-Ischemic Encephalopathy Treated with Hypothermia

by
Katarina Esih
1,
Katja Goričar
2,
Aneta Soltirovska-Šalamon
3,4,
Vita Dolžan
2 and
Zvonka Rener-Primec
1,4,*
1
Division of Pediatrics, Department of Child, Adolescent and Developmental Neurology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
2
Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
3
Division of Pediatrics, Department of Neonatology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia
4
Department of Pediatrics, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Antioxidants 2021, 10(9), 1495; https://doi.org/10.3390/antiox10091495
Submission received: 17 July 2021 / Revised: 9 September 2021 / Accepted: 17 September 2021 / Published: 20 September 2021
(This article belongs to the Special Issue Oxidative Stress, Neuroinflammation and Neurodegeneration)

Abstract

:
Inflammation and oxidative stress after hypoxic-ischemic brain injury may be modified by genetic variability in addition to therapeutic hypothermia. The aim of our study was to evaluate the association between the polymorphisms in genes of antioxidant and inflammatory pathways in newborns treated with therapeutic hypothermia and the development of epilepsy or CP at two years follow-up. The DNA of 55 subjects was isolated from buccal swabs. Genotyping using competitive allele-specific PCR was performed for polymorphisms in antioxidant (SOD2 rs4880, CAT rs1001179, GPX1 rs1050450) and inflammatory (NLRP3 rs35829419, CARD8 rs2043211, IL1B rs1143623, IL1B rs16944, IL1B rs10716 76, TNF rs1800629) pathways. Polymorphic CARD8 rs2043211 T allele was less frequent in patients with epilepsy, but the association was not statistically significant. The interaction between CARD8 rs2043211 and IL1B rs16944 was associated with epilepsy after HIE: CARD8 rs2043211 was associated with lower epilepsy risk, but only in carriers of two normal IL1B rs16944 alleles (ORadj = 0.03 95% CI = 0.00–0.55; padj = 0.019). Additionally, IL1B rs16944 was associated with higher epilepsy risk only in carriers of at least one polymorphic CARD8 rs2043211 (ORadj = 13.33 95% CI = 1.07–166.37; padj = 0.044). Our results suggest that gene–gene interaction in inflammation pathways might contribute to the severity of brain injury in newborns with HIE treated with therapeutic hypothermia.

1. Introduction

Perinatal hypoxic-ischemic encephalopathy (HIE) is one of the well-known causes of chronic neurological disability in children, such as epilepsy and/or cerebral palsy (CP) [1].
Therapeutic hypothermia (TH) improves survival after HIE, lowers long-term disability rates, lowers the incidence of epilepsy and CP, lessens the severity of CP [2,3], and reduces the frequency of seizures [4], but it is only partly effective [5]. In newborns with HIE treated with hypothermia epilepsy develops in about 10% [6] and CP in 20% of children [7,8].
Studies propose that TH’s neuroprotective effect is induced by modification of several different molecular pathways [9,10,11,12]. The pathophysiological processes after hypoxic-ischemic (HI) injury include overproduction of reactive oxygen species (ROS) and inflammation [13,14]. The key proteins implicated in these processes are antioxidant enzymes, e.g., superoxide-dismutase (MnSOD), catalase (CAT), and glutathione peroxidase (GPX) [15], inflammasome (NLRP3, CARD8, and caspase-1), and cytokines (interleukin 1β (IL-1β), tumor necrosis factor (TNFα)).
From the clinical point of view, there is a notable interindividual variability in response to TH, which is partially due to the wide variability in hypoxic-ischemic insult between newborns with HIE [16,17]. Until now, studies have shown that the outcome after HIE treated with TH is affected by the severity and duration of the hypoxic-ischemic event [18], Apgar score [3], brain injury pattern detected with magnetic resonance imaging (MRI), and occurrence of neonatal seizures. Neonatal seizures as well as brainstem and deep gray injury on MRI have been shown to be associated with epilepsy development [18,19], and lesions in deep gray matter and the posterior limb of the internal capsule (PLIC) with CP [20].
Genetic factors could also affect the processes of tissue inflammation and destruction following hypoxic-ischemic injury. This could modify the severity of the outcome after HIE and the efficacy of treatment with TH. Common polymorphisms in inflammatory and antioxidant genes that can affect protein activity or gene expression by influencing transcription factor or miRNA binding could therefore influence the risk for long-term complications [21]. Previous studies investigating genetic polymorphisms were mostly focused on the susceptibility for CP after HIE [22,23,24,25,26]. For example, a combination of polymorphisms in IL1B and NO synthase 2 (NOS2) [26], as well as polymorphisms in oligodendrocyte transcription factor 2 (OLIG2) [24], adaptor protein complex 4 (APC4) [25], and CAT [22] were all associated with the development of CP after HIE. However, several studies do not report if the patients were treated with TH. On the other hand, less is known about genetic factors associated with susceptibility for epilepsy after HIE.
The aim of our study was to evaluate the association between the polymorphisms in genes of antioxidant and inflammatory pathways involved in the pathogenesis after HIE in newborns treated with TH and the development of epilepsy or CP within two years.

2. Subjects and Methods

2.1. Study Population

Our cross-sectional study included newborns with moderate and severe HIE registered in the electronic database of the neonatal intensive care unit at the University Children’s Hospital Ljubljana. Inclusion criteria were: children born between 2007 and 2019, with ≥36 weeks of gestation and who underwent treatment with TH due to perinatal asphyxia (5 min Apgar score ≤ 5, pH ≤ 7.0, base deficit ≥ 16 mmol/L, or resuscitation 10 min after birth) and neurological signs of moderate to severe encephalopathy [27]. Clinical evidence of moderate or severe encephalopathy was determined by the Sarnat and Sarnat scoring system [28]. Whole-body cooling was started within 6 h after birth and continued for 72 h. After 72 h, the newborns were gradually rewarmed to 36.5 °C.
During TH, all newborns were monitored with amplitude integrated electroencephalography (aEEG). Those with recognized seizures were additionally analyzed with classic EEG and all infants were followed up by classic EEG after rewarming period. The criteria for the diagnosis of neonatal seizures were based on the direct observation of clinical events, confirmed with video EEG and aEEG. Neonatal seizures were defined as sudden, repetitive, evolving, and stereotyped ictal pattern with a clear beginning, middle, and ending and a minimum duration of 5–10 s, with or without clinical event.
The electronic database was checked for all eligible children that could be followed up at the age of 2 years or more. During the years 2018 and 2020, parents or legal guardians of these children received an invitation by telephone call and regular mail, including the description of the study, informed consent, and buccal swab with instructions to obtain a sample for DNA extraction. The recruitment of the samples was completed in 2020.
The diagnosis of epilepsy and CP was documented. Epilepsy was defined according to the International League Against Epilepsy (ILAE) 2014 as at least 2 unprovoked seizures at least 24 h apart; one unprovoked seizure and a probability of further seizures similar to the general recurrence risk after two unprovoked seizures, occurring over the next 10 years; diagnosis of an epilepsy syndrome [29].
CP was defined as a group of disorders of development and posture, causing activity limitation, that are attributed to non-progressive disturbances that occurred in the developing infant or fetal brain [30]. It was classified by motor type and gross motor function using the Gross Motor Function Classification System (GMFCS) [31].
Among 84 children with HIE who were treated with total body hypothermia, 29 were excluded due to the following reasons: the informed consent was not provided, death of the patient, rejection by parents or legal guardians to participate in the study already by telephone call, age < 2 years, or insufficient contact data availability.
In a subgroup of 43 newborns, magnetic resonance imaging (MRI) was performed within the first week (between 4th and 7th days).
The study was approved by the Republic of Slovenia National Medical Ethics Committee (0120-303/2015/9, dated 11 April 2018) and informed consent was obtained from all the participants’ parents or legal guardians before inclusion in the study.

2.2. MR Scoring System

The MRI was conducted in line with our previously described protocol [32]. The patterns of brain injury were classified according to the Rutherford classification [33]. The pattern and severity of injury in the 4 regions were evaluated and scored: posterior limb of internal capsule (PLIC), thalamus and basal ganglia, white matter, and cortex, as previously described in the literature [33,34,35]. Additionally, the pattern and severity of brainstem injury were analyzed, i.e., lesions at mesencephalon and in pons. An overall assessment was determined by adding up all 5 regional subscores, and classified as normal, mild, moderate, and severe injury [36]. Subjects were classified as normal if there was no injury seen on MRI. If there were mild, moderate or severe MRI findings in one, two or all of the assessed regions, overall assessment was defined as mild, moderate or severe, respectively. For all analyses, we compared subjects with normal/mild to subjects with moderate/severe pathological MRI findings.

2.3. DNA Extraction and Genotyping

For all children, buccal swabs were obtained for the extraction of genomic DNA using QIA amp DNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol. Single-nucleotide polymorphisms (SNPs) with minor allele frequency above 5% in the European population and experimentally confirmed or in silico predicted function in antioxidant (SOD2 rs4880, CAT rs1001179, GPX1 rs1050450) and inflammatory (NLRP3 rs35829419, CARD8 rs2043211, IL1B rs1143623, IL1B rs16944, IL1B rs1071676, TNF rs1800629) pathways were included in the study. Genotyping was performed using a fluorescent-based, competitive, allele-specific polymerase chain reaction (KASP, LGC Genomics, Hoddesdon, UK) according to the manufacturer’s protocol.

2.4. Statistical Analysis

Median with interquartile range (25–75%) and frequencies were used to describe continuous and categorical variables, respectively. Deviation from the Hardy–Weinberg equilibrium (HWE) was calculated using the standard χ2 test. Dominant genetic model was used in all analyses. For IL1B rs16944, the more frequent polymorphic C allele was used as the reference allele in all analyses. Logistic regression was used to evaluate the association of investigated SNPs with CP or epilepsy using odds ratios (ORs) and 95% confidence intervals (CIs). Fisher’s exact test was used if there were no patients within one of the categories. Multiplicative gene–gene interactions were assessed using logistic regression. To evaluate the combined effect of all IL1B SNPs, Thesias program was used for haplotype analysis [37]. The most common haplotype was used as a reference in all analyses.
As nine SNPs were investigated, Bonferroni correction was used to account for multiple comparisons: p-values below 0.006 were considered statistically significant, while p-values between 0.006 and 0.050 were considered nominally significant. All statistical tests were two-sided. For a polymorphism with minor allele frequency of 0.30, this study had 80% power to detect ORs of 5.5 or more. Power calculation was conducted by the PS Power and sample size calculations, version 3.0 [38]. The statistical analysis was performed using IBM SPSS Statistics version 27.0 (IBM Corporation, Armonk, NY, USA).

3. Results

In total, 55 newborns met the inclusion criteria. Clinical characteristics of the children are presented in Table 1. At two years follow up, 16 patients developed epilepsy (29.1%) and 15 children CP (27.3%). Further, both conditions were present in 13 (24%) children. The most frequent motor type of CP was spastic CP (11, 73.3%) and grade 5 (8; 57.1%) according to the GMCSF score.
Table 2 represents the association of clinical characteristics of patients with epilepsy and CP. Among the clinical parameters, only neonatal convulsions were significantly associated with increased risk for the development of both epilepsy and CP (p = 0.007 and p = 0.012, respectively). Delivery using caesarean section was compared with vaginal delivery including vacuum extraction. Epilepsy and CP were less common in caesarean section, but the difference was not significant (p = 0.055 and p = 0.216, respectively). In a subgroup of 43 patients where MRI was performed, 12 (28%) patients had epilepsy and nine (21%) had CP. The moderate–severe brain injury MRI pattern was present in 17 (39.5%) patients and it was significantly associated with an increased risk for the development of epilepsy and CP (p = 0.001 and p < 0.001, respectively) (Table 3).

3.1. Association of Polymorphisms in Antioxidant and Inflammatory Pathways with Epilepsy and CP

The genotype frequencies and minor allele frequencies of polymorphisms in the antioxidant and inflammatory pathways are presented in Supplemental Table S1. All of the investigated polymorphisms were in Hardy–Weinberg equilibrium (Supplemental Table S1).
Polymorphic CARD8 rs2043211 T allele was less frequent in patients with epilepsy, however the association was not statistically significant, even after adjustment for neonatal convulsions (p = 0.207 and p = 0.070, respectively). None of the other polymorphisms were associated with epilepsy in univariable or multivariable analysis (Table 4). Additionally, none of the studied polymorphisms were associated with the development CP in univariable analysis or after adjustment for neonatal convulsions (Table 5).
As three IL1B polymorphisms were included in our study, we additionally analyzed the haplotypes of IL1B: seven haplotypes were predicted in our cohort, however only four had frequencies above 5% (GCC, GCG, CTC, and CTG) (Supplemental Table S2). The CTG haplotype carrying less frequent IL1B rs1143623 C and IL1B rs16944 T alleles was more frequent in patients with epilepsy (OR =2.51 95% CI = 0.70–8.96; p = 0.156) and CP (OR =3.53 95% CI = 0.89–13.99; p = 0.072) compared to the reference GCC haplotype, but the difference did not reach statistical significance.

3.2. Association of Gene-gene Interactions with Epilepsy and CP

CARD8 and IL1B polymorphisms were previously associated with MRI brain injury patterns [32], that were important predictors of epilepsy and CP in our study. We therefore examined the interactions between CARD8 and IL1B polymorphisms and epilepsy or CP. After adjustment for neonatal convulsions, we observed a nominally significant interaction between CARD8 rs2043211 and IL1B rs16944 and epilepsy risk (p = 0.033; Table 6). Carriers of at least one polymorphic CARD8 rs2043211 allele were less likely to develop epilepsy only in carriers of two normal IL1B rs16944 alleles (ORadj = 0.03 95% CI = 0.00–0.55; padj = 0.019). Similarly, carriers of at least one polymorphic IL1B rs16944 allele were more likely to develop epilepsy only in carriers of at least one polymorphic CARD8 rs2043211 (ORadj = 13.33 95% CI = 1.07–166.37; padj = 0.044). Similar, although not significant trend was observed for the interaction between CARD8 rs2043211 and IL1B rs1143623 and epilepsy risk (p = 0.051; Table 6). Carriers of at least one polymorphic CARD8 rs2043211 allele were less likely to develop epilepsy only in carriers of two normal IL1B rs1143623 alleles (ORadj = 0.05 95% CI = 0.00–0.69; padj = 0.025).
The interaction between CARD8 rs2043211 and IL1B rs16944 and CP risk was not significant (p = 0.073; Table 6). Still, carriers of at least one polymorphic CARD8 rs2043211 allele were less likely to develop CP only in carriers of two normal IL1B rs16944 alleles (ORadj = 0.07 95% CI = 0.01–0.99; padj = 0.049). Carriers of at least one polymorphic IL1B rs16944 allele were more likely to develop CP only in carriers of at least one polymorphic CARD8 rs2043211 (ORadj = 13.33 95% CI = 1.07–166.37; padj = 0.044).

4. Discussion

Our present study investigated the association of the common polymorphisms in antioxidant and inflammatory genes, haplotypes and gene–gene interactions with development of epilepsy and CP after perinatal HIE treated with TH. The most important finding was that the interaction between CARD8 rs2043211 and IL1B rs16944 was associated with epilepsy after HIE. CARD8 rs2043211 was associated with lower epilepsy risk, while IL1B rs16944 was associated with higher epilepsy risk, (when stratified for IL1B rs16944 or CARD8 rs2043211 genotype, respectively).
In our study group, 29.1% patients developed epilepsy and 27.3% developed CP. A similar incidence for CP was observed in other studies, as reported in the Cochrane meta-analysis, where 23% of patients developed CP after HIE treated with whole-body cooling TH [39]. However, in the Cochrane meta-analysis, the incidence of epilepsy was not observed. Instead, they reported the effect of TH on the presence of seizures or need for anticonvulsant treatment on follow up, which was 11%. The high incidence of epilepsy in our cohort of children might be explained by large number of newborns (65%) with moderate to severe brain injury pattern on MRI, mostly brainstem and deep gray injury which have been shown to be associated with epilepsy later [15,18]. However, due to different outcomes used in different studies, the results regarding epilepsy are not directly comparable.
Among the clinical parameters, only neonatal convulsions were significantly associated with the development of epilepsy and CP in our study, consistent with what was previously reported in other studies [40,41]. The moderate–severe brain injury pattern on MRI was also significantly associated with the development of epilepsy and CP. The early MRI results were already demonstrated to be good predictors of clinical outcome [42].
In our study, CARD8 rs2043211 T allele was associated with a lower frequency of epilepsy after HIE after the adjustment for neonatal convulsion, but its association was nominally significant only in interaction with IL1B rs16944 after adjustment for neonatal convulsions. Consistent with these results, in our previous study, CARD8 rs2043211 T allele was associated with lower overall rates of brain injury according to the MRI brain injury patterns after HIE in newborns treated with TH [32]. CARD8 is a component of a multiprotein complex inflammasome, which plays an important role in central nervous system inflammation [43,44]. Dysregulated inflammation is one of the main contributors of brain tissue damage. During hypoxic-ischemic insult, inflammatory cells such as astrocytes and microglia are activated and secrete inflammatory mediators that may worsen the tissue damage [45].
The functional role of CARD8 rs2043211 is not fully understood. In previous studies, rs2043211 was associated with a protective role in various conditions, also non-neurological [46,47,48,49]. Contrary to these findings, some other studies reported its deleterious effect in other diseases [50,51]. As a result of alternative splicing, CARD8 has five known mRNA isoforms and the function of rs2043211 differs among transcripts: it either introduces a stop codon or leads to amino acid change [44]. The functional role of these isoforms is not clear, but it could help explain the contradictory results observed in previous studies [44]. Additionally, the role of CARD8 might vary in different pathologies in different organs.
In our study, carriers of at least one polymorphic CARD8 rs2043211 allele were less likely to develop epilepsy only in carriers of two normal IL1B rs16944 or rs1143623 alleles. CARD8 functions as a negative regulator of inflammasome and prevents its assembly. Consequently, it blocks the release of IL-1β [52], which could explain the observed gene–gene interaction.
Carriers of at least one polymorphic IL1B rs16944 allele were more likely to develop epilepsy only when carrying at least one polymorphic CARD8 rs2043211, further emphasizing the important role of CARD8-IL1B gene–gene interaction. In our previous study, IL1B rs16944 was associated with an increased risk of posterior limb of internal capsule (PLIC) injury [32]. Additionally, IL1B rs16944 was associated with development of CP after HIE in a previous study [26], consistent with our results, and also various other diseases, including mental disorders [53,54]. Promotor IL1B rs16944 polymorphism can affect transcription factor binding and transcription of the IL1B gene [26]. It was associated with increased IL-1β secretion [55] and higher serum IL-1β levels [56]. We could thus speculate that a higher inflammatory response might be associated with poor neurologic outcome after HIE.
However, in haplotype analysis, IL1B haplotypes were not significantly associated with epilepsy or CP, even though the CTG haplotype carrying IL1B rs1143623 and IL1B rs16944 alleles was more frequent in patients with epilepsy. This suggests that interaction with inflammasome may be more important regarding the risk of neurological disability than genetic variability of individual genes. Previously, only gene–gene interactions between IL1B and TNF were investigated, but no association with epilepsy was observed when comparing patients with epilepsy and healthy controls [57].
In the present study, polymorphisms in antioxidant genes were not associated with neurological outcome. Previously, CAT rs1001179 was found to be associated with CP only in children with HIE that were not treated with TH [22], suggesting the role of genetic variability in antioxidant genes might differ in response to TH.
To the best of our knowledge, our study was the first to evaluate the role of genetic variability and the risk of epilepsy after HIE in newborns treated with TH. Some studies have already been performed regarding polymorphisms and the risk of epilepsy [23,57,58,59], but none of them investigated epilepsy after HIE treated with TH separately from other epilepsy causes.
Furthermore, the strength of our study is that our study group was homogenous as we only included term newborns after HIE treated with TH. We were also able to compare the clinical outcome and the MRI results from our previous study. We additionally characterized several polymorphisms in the inflammatory and antioxidant pathways and their role in HIE and studied their haplotypes and gene–gene interactions.
However, the limitation of our study was the nature of the study design and small study sample. Due to the cross-sectional design, we were not able to obtain the MRI results for all patients included. Furthermore, we also had to exclude the patients who did not reach the age of two years when clinical evaluation was performed. Further studies are therefore needed to clarify the role of gene–gene interactions in inflammatory pathways and outcome after HIE.

5. Conclusions

In conclusion, this is the first study that demonstrated that gene–gene interactions in inflammatory pathways may contribute to the clinical outcome after HIE in newborns treated with TH. Gene–gene interactions may play a more important role in response to HIE than individual genetic polymorphisms. Our results could contribute to better understanding of the long-term neurological outcome in these patients.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/antiox10091495/s1, Table S1: The association of IL1B haplotypes with epilepsy and cerebral palsy (CP), Table S2: Genotype frequencies.

Author Contributions

Conceptualization V.D. and Z.R.-P.; methodology, K.G. and V.D.; software, K.G.; validation, A.S.-Š. and V.D.; formal analysis, K.G.; investigation, K.E.; resources, A.S.-Š. and V.D.; data curation, K.E.; writing—original draft preparation, K.E. and K.G.; writing—review and editing, V.D., A.S.-Š., Z.R.-P., and K.G.; supervision, Z.R.-P.; project administration, Z.R.-P. All authors have read and agreed to the published version of the manuscript.

Funding

Researchers from the following two research programs financed by Slovenian Research Agency ARRS were involved in the study: Molecular mechanisms of regulation of cellular processes related to some human diseases—P1-0170, and Etiology, early detection, and treatment of diseases in childhood and adolescence—P3-0343. The publication costs were financed by the P3-0343.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Slovenia’s National Medical Ethics Committee (0120-303/2015/9, 129/07/14, 11 August 2014).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All the data is presented within the article and in Supplementary Material. Any additional information is available on request from the corresponding author.

Acknowledgments

We are grateful to Derganc M. for the introduction of hypothermia treatment in Slovenia and collecting a patient’s database. Our gratitude goes to all study participants, medical staff, and research scientists who took part in the present study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lai, M.-C.; Yang, S.-N. Perinatal Hypoxic-Ischemic Encephalopathy. J. Biomed. Biotechnol. 2011, 2011, 609813. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Polin, R.A.; Randis, T.M.; Sahni, R. Systemic hypothermia to decrease morbidity of hypoxic-ischemic brain injury. J. Perinatol. 2007, 27, S47–S58. [Google Scholar] [CrossRef] [Green Version]
  3. Natarajan, G.; Pappas, A.; Shankaran, S. Outcomes in childhood following therapeutic hypothermia for neonatal hypoxic-ischemic encephalopathy (HIE). Semin. Perinatol. 2016, 40, 549–555. [Google Scholar] [CrossRef] [Green Version]
  4. Gano, D.; Orbach, S.A.; Bonifacio, S.L.; Glass, H.C. Neonatal seizures and therapeutic hypothermia for hypoxic-ischemic encephalopathy. Mol. Cell Epilepsy 2014, 1, e88. [Google Scholar] [CrossRef] [PubMed]
  5. Davidson, J.O.; Wassink, G.; van den Heuij, L.G.; Bennet, L.; Gunn, A.J. Therapeutic Hypothermia for Neonatal Hypoxic–Ischemic Encephalopathy – Where to from Here? Front. Neurol. 2015, 6, 198. [Google Scholar] [CrossRef] [Green Version]
  6. Robertson, C.M.; Perlman, M. Follow-up of the term infant after hypoxic-ischemic encephalopathy. Paediatr. Child Health 2006, 11, 278–282. [Google Scholar]
  7. McAdams, R.M.; Fleiss, B.; Traudt, C.; Schwendimann, L.; Snyder, J.M.; Haynes, R.L.; Natarajan, N.; Gressens, P.; Juul, S.E. Long-Term Neuropathological Changes Associated with Cerebral Palsy in a Nonhuman Primate Model of Hypoxic-Ischemic Encephalopathy. Dev. Neurosci. 2017, 39, 124–140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Shankaran, S.; Laptook, A.R.; Ehrenkranz, R.A.; Tyson, J.E.; McDonald, S.A.; Donovan, E.F.; Fanaroff, A.A.; Poole, W.K.; Wright, L.L.; Higgins, R.D.; et al. Whole-Body Hypothermia for Neonates with Hypoxic–Ischemic Encephalopathy. N. Engl. J. Med. 2005, 353, 1574–1584. [Google Scholar] [CrossRef]
  9. Joy, R.; Pournami, F.; Bethou, A.; Bhat, V.B.; Bobby, Z. Effect of therapeutic hypothermia on oxidative stress and outcome in term neonates with perinatal asphyxia: A randomized controlled trial. J. Trop. Pediatr. 2013, 59, 17–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Hakobyan, M.; Dijkman, K.P.; Laroche, S.; Naulaers, G.; Rijken, M.; Steiner, K.; van Straaten, H.L.M.; Swarte, R.M.C.; Ter Horst, H.J.; Zecic, A.; et al. Outcome of Infants with Therapeutic Hypothermia after Perinatal Asphyxia and Early-Onset Sepsis. Neonatology 2019, 115, 127–133. [Google Scholar] [CrossRef]
  11. Sutcliffe, I.T.; Smith, H.A.; Stanimirovic, D.; Hutchison, J.S. Effects of moderate hypothermia on IL-1 beta-induced leukocyte rolling and adhesion in pial microcirculation of mice and on proinflammatory gene expression in human cerebral endothelial cells. J. Cereb. Blood Flow Metab. 2001, 21, 1310–1319. [Google Scholar] [CrossRef] [Green Version]
  12. Shi, J.; Dai, W.; Kloner, R.A. Therapeutic Hypothermia Reduces the Inflammatory Response Following Ischemia/Reperfusion Injury in Rat Hearts. Hypothermia Temp. Manag. 2017, 7, 162–170. [Google Scholar] [CrossRef]
  13. Del Arco, L.; Alonso-Alconada, D. Current Research in Neonatal Hypoxic-Ischemic Anti-Inflammatory Therapeutics. EC Paediatrics 2018, 73, 168–170. [Google Scholar]
  14. Nair, J.; Kumar, V.H.S. Current and Emerging Therapies in the Management of Hypoxic Ischemic Encephalopathy in Neonates. Children 2018, 5, 99. [Google Scholar] [CrossRef] [Green Version]
  15. Volpe, J.J. Volpe’s Neurology of the Newborn; Elsevier: Amsterdam, The Netherlands, 2018. [Google Scholar]
  16. Ghei, S.K.; Zan, E.; Nathan, J.E.; Choudhri, A.; Tekes, A.; Huisman, T.A.; Izbudak, I. MR imaging of hypoxic-ischemic injury in term neonates: Pearls and pitfalls. Radiographics 2014, 34, 1047–1061. [Google Scholar] [CrossRef]
  17. Millar, L.J.; Shi, L.; Hoerder-Suabedissen, A.; Molnár, Z. Neonatal Hypoxia Ischaemia: Mechanisms, Models, and Therapeutic Challenges. Front. Cell. Neurosci. 2017, 11, 78. [Google Scholar] [CrossRef] [Green Version]
  18. McDonough, T.L.; Paolicchi, J.M.; Heier, L.A.; Das, N.; Engel, M.; Perlman, J.M.; Grinspan, Z.M. Prediction of Future Epilepsy in Neonates With Hypoxic-Ischemic Encephalopathy Who Received Selective Head Cooling. J. Child Neurol. 2017, 32, 630–637. [Google Scholar] [CrossRef] [PubMed]
  19. Jung, D.E.; Ritacco, D.G.; Nordli, D.R.; Koh, S.; Venkatesan, C. Early Anatomical Injury Patterns Predict Epilepsy in Head Cooled Neonates With Hypoxic-Ischemic Encephalopathy. Pediatr. Neurol. 2015, 53, 135–140. [Google Scholar] [CrossRef] [Green Version]
  20. Martinez-Biarge, M.; Diez-Sebastian, J.; Kapellou, O.; Gindner, D.; Allsop, J.M.; Rutherford, M.A.; Cowan, F.M. Predicting motor outcome and death in term hypoxic-ischemic encephalopathy. Neurology 2011, 76, 2055–2061. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Forsberg, L.; Lyrenäs, L.; de Faire, U.; Morgenstern, R. A common functional C-T substitution polymorphism in the promoter region of the human catalase gene influences transcription factor binding, reporter gene transcription and is correlated to blood catalase levels. Free Radic Biol. Med. 2001, 30, 500–505. [Google Scholar] [CrossRef]
  22. Esih, K.; Goričar, K.; Dolžan, V.; Rener-Primec, Z. The association between antioxidant enzyme polymorphisms and cerebral palsy after perinatal hypoxic-ischaemic encephalopathy. Eur. J. Paediatr. Neurol. 2016, 20, 704–708. [Google Scholar] [CrossRef] [PubMed]
  23. Esih, K.; Goričar, K.; Dolžan, V.; Rener-Primec, Z. Antioxidant polymorphisms do not influence the risk of epilepsy or its drug resistance after neonatal hypoxic-ischemic brain injury. Seizure 2017, 46, 38–42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Sun, L.; Xia, L.; Wang, M.; Zhu, D.; Wang, Y.; Bi, D.; Song, J.; Ma, C.; Gao, C.; Zhang, X.; et al. Variants of the OLIG2 Gene are Associated with Cerebral Palsy in Chinese Han Infants with Hypoxic-Ischemic Encephalopathy. Neuromolecular Med. 2019, 21, 75–84. [Google Scholar] [CrossRef] [PubMed]
  25. Wang, H.; Xu, Y.; Chen, M.; Shang, Q.; Sun, Y.; Zhu, D.; Wang, L.; Huang, Z.; Ma, C.; Li, T.; et al. Genetic association study of adaptor protein complex 4 with cerebral palsy in a Han Chinese population. Mol. Biol. Rep. 2013, 40, 6459–6467. [Google Scholar] [CrossRef]
  26. Torres-Merino, S.; Moreno-Sandoval, H.N.; Thompson-Bonilla, M.D.R.; Leon, J.A.O.; Gomez-Conde, E.; Leon-Chavez, B.A.; Martinez-Fong, D.; Gonzalez-Barrios, J.A. Association Between rs3833912/rs16944 SNPs and Risk for Cerebral Palsy in Mexican Children. Mol. Neurobiol. 2019, 56, 1800–1811. [Google Scholar] [CrossRef] [Green Version]
  27. Weeke, L.C.; Groenendaal, F.; Mudigonda, K.; Blennow, M.; Lequin, M.H.; Meiners, L.C.; van Haastert, I.C.; Benders, M.J.; Hallberg, B.; de Vries, L.S. A Novel Magnetic Resonance Imaging Score Predicts Neurodevelopmental Outcome After Perinatal Asphyxia and Therapeutic Hypothermia. J. Pediatr. 2018, 192, 33–40. [Google Scholar] [CrossRef] [Green Version]
  28. Sarnat, H.B.; Sarnat, M.S. Neonatal Encephalopathy Following Fetal Distress: A Clinical and Electroencephalographic Study. Arch. Neurol. 1976, 33, 696–705. [Google Scholar] [CrossRef]
  29. Fisher, R.S.; Acevedo, C.; Arzimanoglou, A.; Bogacz, A.; Cross, J.H.; Elger, C.E.; Engel, J., Jr.; Forsgren, L.; French, J.A.; Glynn, M.; et al. ILAE official report: A practical clinical definition of epilepsy. Epilepsia 2014, 55, 475–482. [Google Scholar] [CrossRef] [Green Version]
  30. Bax, M.; Goldstein, M.; Rosenbaum, P.; Leviton, A.; Paneth, N.; Dan, B.; Jacobsson, B.; Damiano, D. Proposed definition and classification of cerebral palsy, April 2005. Dev. Med. Child Neurol. 2005, 47, 571–576. [Google Scholar] [CrossRef]
  31. Cans, C. Surveillance of cerebral palsy in Europe: A collaboration of cerebral palsy surveys and registers. Dev. Med. Child Neurol. 2000, 42, 816–824. [Google Scholar] [CrossRef]
  32. Esih, K.; Goričar, K.; Rener-Primec, Z.; Dolžan, V.; Soltirovska-Šalamon, A. CARD8 and IL1B Polymorphisms Influence MRI Brain Patterns in Newborns with Hypoxic-Ischemic Encephalopathy Treated with Hypothermia. Antioxidants 2021, 10, 96. [Google Scholar] [CrossRef]
  33. Rutherford, M.; Ramenghi, L.A.; Edwards, A.D.; Brocklehurst, P.; Halliday, H.; Levene, M.; Strohm, B.; Thoresen, M.; Whitelaw, A.; Azzopardi, D. Assessment of brain tissue injury after moderate hypothermia in neonates with hypoxic-ischaemic encephalopathy: A nested substudy of a randomised controlled trial. Lancet Neurol. 2010, 9, 39–45. [Google Scholar] [CrossRef] [Green Version]
  34. Procianoy, R.S.; Corso, A.L.; Longo, M.G.; Vedolin, L.; Silveira, R.C. Therapeutic hypothermia for neonatal hypoxic-ischemic encephalopathy: Magnetic resonance imaging findings and neurological outcomes in a Brazilian cohort. J. Matern. Fetal Neonatal. Med. 2019, 32, 2727–2734. [Google Scholar] [CrossRef]
  35. Martinez-Biarge, M.; Diez-Sebastian, J.; Rutherford, M.A.; Cowan, F.M. Outcomes after central grey matter injury in term perinatal hypoxic-ischaemic encephalopathy. Early Hum. Dev. 2010, 86, 675–682. [Google Scholar] [CrossRef] [PubMed]
  36. Trivedi, S.B.; Vesoulis, Z.A.; Rao, R.; Liao, S.M.; Shimony, J.S.; McKinstry, R.C.; Mathur, A.M. A validated clinical MRI injury scoring system in neonatal hypoxic-ischemic encephalopathy. Pediatr. Radiol. 2017, 47, 1491–1499. [Google Scholar] [CrossRef] [PubMed]
  37. Tregouet, D.A.; Garelle, V. A new JAVA interface implementation of THESIAS: Testing haplotype effects in association studies. Bioinformatics 2007, 23, 1038–1039. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Dupont, W.D.; Plummer, W.D., Jr. Power and sample size calculations. A review and computer program. Control Clin. Trials 1990, 11, 116–128. [Google Scholar] [CrossRef]
  39. Jacobs, S.E.; Berg, M.; Hunt, R.; Tarnow-Mordi, W.O.; Inder, T.E.; Davis, P.G. Cooling for newborns with hypoxic ischaemic encephalopathy. Cochrane Database Syst. Rev. 2013, 2013, CD003311. [Google Scholar] [CrossRef] [PubMed]
  40. Pisani, F.; Piccolo, B.; Cantalupo, G.; Copioli, C.; Fusco, C.; Pelosi, A.; Tassinari, C.A.; Seri, S. Neonatal seizures and postneonatal epilepsy: A 7-y follow-up study. Pediatric Res. 2012, 72, 186–193. [Google Scholar] [CrossRef] [Green Version]
  41. Lin, Y.-K.; Hwang-Bo, S.; Seo, Y.-M.; Youn, Y.-A. Clinical seizures and unfavorable brain MRI patterns in neonates with hypoxic ischemic encephalopathy. Medicine 2021, 100, e25118. [Google Scholar] [CrossRef] [PubMed]
  42. Nanavati, T.; Seemaladinne, N.; Regier, M.; Yossuck, P.; Pergami, P. Can We Predict Functional Outcome in Neonates with Hypoxic Ischemic Encephalopathy by the Combination of Neuroimaging and Electroencephalography? Pediatr. Neonatol. 2015, 56, 307–316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Bai, Y.; Nie, S.; Jiang, G.; Zhou, Y.; Zhou, M.; Zhao, Y.; Li, S.; Wang, F.; Lv, Q.; Huang, Y.; et al. Regulation of CARD8 expression by ANRIL and association of CARD8 single nucleotide polymorphism rs2043211 (p.C10X) with ischemic stroke. Stroke 2014, 45, 383–388. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Bagnall, R.D.; Roberts, R.G.; Mirza, M.M.; Torigoe, T.; Prescott, N.J.; Mathew, C.G. Novel isoforms of the CARD8 (TUCAN) gene evade a nonsense mutation. Eur. J. Hum. Genet. 2008, 16, 619–625. [Google Scholar] [CrossRef]
  45. Wang, Y.; Xu, Y.; Fan, Y.; Bi, D.; Song, J.; Xia, L.; Shang, Q.; Gao, C.; Zhang, X.; Zhu, D.; et al. The Association Study of IL-23R Polymorphisms With Cerebral Palsy in Chinese Population. Front. Neurosci. 2020, 14, 590098. [Google Scholar] [CrossRef]
  46. Herman, R.; Jensterle, M.; Janez, A.; Goricar, K.; Dolzan, V. Genetic Variability in Antioxidative and Inflammatory Pathways Modifies the Risk for PCOS and Influences Metabolic Profile of the Syndrome. Metabolites 2020, 10, 439. [Google Scholar] [CrossRef]
  47. McGovern, D.P.; Butler, H.; Ahmad, T.; Paolucci, M.; van Heel, D.A.; Negoro, K.; Hysi, P.; Ragoussis, J.; Travis, S.P.; Cardon, L.R.; et al. TUCAN (CARD8) genetic variants and inflammatory bowel disease. Gastroenterology 2006, 131, 1190–1196. [Google Scholar] [CrossRef]
  48. Lv, J.; Jiang, X.; Zhang, J.; Peng, X.; Lin, H. Combined polymorphisms in genes encoding the inflammasome components NLRP3 and CARD8 confer risk of ischemic stroke in men. J. Stroke Cereb. Dis. 2020, 29, 104874. [Google Scholar] [CrossRef] [PubMed]
  49. Roberts, R.L.; Topless, R.K.; Phipps-Green, A.J.; Gearry, R.B.; Barclay, M.L.; Merriman, T.R. Evidence of interaction of CARD8 rs2043211 with NALP3 rs35829419 in Crohn’s disease. Genes Immun. 2010, 11, 351–356. [Google Scholar] [CrossRef]
  50. Fontalba, A.; Gutiérrez, O.; Llorca, J.; Mateo, I.; Berciano, J.; Fernández-Luna, J.L.; Combarros, O. Deficiency of CARD8 Is Associated with Increased Alzheimer’s Disease Risk in Women. Dement. Geriatr. Cogn. Disord. 2008, 26, 247–250. [Google Scholar] [CrossRef]
  51. Chen, Y.; Ren, X.; Li, C.; Xing, S.; Fu, Z.; Yuan, Y.; Wang, R.; Wang, Y.; Lv, W. CARD8 rs2043211 Polymorphism is Associated with Gout in a Chinese Male Population. Cell. Physiol. Biochem. 2015, 35, 1394–1400. [Google Scholar] [CrossRef]
  52. Mao, L.; Kitani, A.; Similuk, M.; Oler, A.J.; Albenberg, L.; Kelsen, J.; Aktay, A.; Quezado, M.; Yao, M.; Montgomery-Recht, K.; et al. Loss-of-function CARD8 mutation causes NLRP3 inflammasome activation and Crohn’s disease. J. Clin. Investig. 2018, 128, 1793–1806. [Google Scholar] [CrossRef]
  53. Kanemoto, K.; Kawasaki, J.; Miyamoto, T.; Obayashi, H.; Nishimura, M. Interleukin (IL)1beta, IL-1alpha, and IL-1 receptor antagonist gene polymorphisms in patients with temporal lobe epilepsy. Ann. Neurol. 2000, 47, 571–574. [Google Scholar] [CrossRef]
  54. Papiol, S.; Molina, V.; Rosa, A.; Sanz, J.; Palomo, T.; Fañanás, L. Effect of interleukin-1beta gene functional polymorphism on dorsolateral prefrontal cortex activity in schizophrenic patients. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2007, 144B, 1090–1093. [Google Scholar] [CrossRef]
  55. Hall, S.K.; Perregaux, D.G.; Gabel, C.A.; Woodworth, T.; Durham, L.K.; Huizinga, T.W.; Breedveld, F.C.; Seymour, A.B. Correlation of polymorphic variation in the promoter region of the interleukin-1 beta gene with secretion of interleukin-1 beta protein. Arthritis Rheum. 2004, 50, 1976–1983. [Google Scholar] [CrossRef] [PubMed]
  56. Wang, J.; Shi, Y.; Wang, G.; Dong, S.; Yang, D.; Zuo, X. The association between interleukin-1 polymorphisms and their protein expression in Chinese Han patients with breast cancer. Mol. Genet. Genom. Med. 2019, 7, e804. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Tiwari, P.; Dwivedi, R.; Mansoori, N.; Alam, R.; Chauhan, U.K.; Tripathi, M.; Mukhopadhyay, A.K. Do gene polymorphism in IL-1β, TNF-α and IL-6 influence therapeutic response in patients with drug refractory epilepsy? Epilepsy Res. 2012, 101, 261–267. [Google Scholar] [CrossRef]
  58. Fan, X.; Chen, Y.; Li, W.; Xia, H.; Liu, B.; Guo, H.; Yang, Y.; Xu, C.; Xie, S.; Xu, X. Genetic Polymorphism of ADORA2A Is Associated With the Risk of Epilepsy and Predisposition to Neurologic Comorbidity in Chinese Southern Children. Front. Neurosci. 2020, 14, 590605. [Google Scholar] [CrossRef] [PubMed]
  59. Kukec, E.; Goričar, K.; Dolžan, V.; Rener-Primec, Z. HIF1A polymorphisms do not modify the risk of epilepsy nor cerebral palsy after neonatal hypoxic-ischemic encephalopathy. Brain Res. 2021, 1757, 147281. [Google Scholar] [CrossRef] [PubMed]
Table 1. Clinical characteristics of 55 newborns with HIE.
Table 1. Clinical characteristics of 55 newborns with HIE.
Clinical CharacteristicCategoryN (%)
SexMale33 (60.0)
Mode of deliveryVaginal16 (31.4) [4]
Caesarean section31 (60.8)
Vacuum extraction4 (7.8)
Apgar score in 5 min≤540 (81.6) [6]
>59 (18.4)
Apgar score in 10 min≤521 (46.7) [10]
>524 (53.3)
Sarnat and Sarnat score225 (48.1) [3]
327 (51.9)
Neonatal convulsionsNo23 (43.4) [2]
Yes30 (55.6)
EpilepsyNo39 (70.9)
Yes16 (29.1)
Cerebral palsyNo40 (72.7)
Yes15 (27.3)
GMCSF (1–5)11 (7.1) [1]
21 (7.1)
32 (14.3)
42 (14.3)
58 (57.1)
Cerebral palsy typeSpastic11 (73.3)
Dystonic2 (13.3)
Spastic-dystonic 2 (13.3)
Clinical CharacteristicUnitMedian (25–75%)
Gestational ageweeks39 (38–40) [2]
Birthweightg3300 (2793–3500) [5]
Head circumferencecm34.8 (33–35.5) [11]
Number of subjects with missing data is presented in [] brackets.
Table 2. Clinical characteristics of patients with epilepsy and cerebral palsy (CP).
Table 2. Clinical characteristics of patients with epilepsy and cerebral palsy (CP).
Characteristic Epilepsy
N (%)
OR
(95% CI)
p-ValueCP
N (%)
OR
(95% CI)
p-Value
GenderMale10 (30.3)Ref. 9 (27.3)Ref.
Female6 (27.3)0.86
(0.26–2.85)
0.8096 (27.3)1.00
(0.30–3.36)
1.000
Mode of deliveryVaginal/vacuum9 (45.0)Ref. 7 (35.0)Ref.
Caesarean section6 (19.4)0.29
(0.08–1.03)
0.0556 (19.4)0.45
(0.12–1.60)
0.216
Apgar score in 5 min>53 (33.3)Ref. 2 (22.2)Ref.
≤512 (30.0)0.86
(0.18–4.01)
0.84512 (30.0)1.50
(0.27–8.30)
0.642
Apgar score in 10 min>54 (16.7)Ref. 4 (16.7)Ref.
≤58 (38.1)3.08
(0.77–12.34)
0.1138 (38.1)3.08
(0.77–12.34)
0.113
Sarnat and Sarnat grading27 (28.0)Ref. 5 (20.0)Ref.
39 (33.3)1.29
(0.39–4.20)
0.67710 (37.0)2.35
(0.67–8.24)
0.181
Neonatal convulsionsNo, N (%)2 (8.7)Ref. 2 (8.7)Ref.
Yes, N (%)14 (46.7)9.19
(1.82–46.34)
0.00713 (43.3)8.03
(1.59–40.58)
0.012
Legend: CI = confidence interval, OR = odds ratio.
Table 3. The association of category of MRI brain pattern with epilepsy and cerebral palsy (CP).
Table 3. The association of category of MRI brain pattern with epilepsy and cerebral palsy (CP).
MRI Brain Pattern Overall AssessmentWithout Epilepsy
N (%)
With Epilepsy
N (%)
OR
(95% CI)
p-Valuewithout CP
N (%)
with CP
N (%)
p-Value
Normal + mild25 (96.2)1 (3.8)Ref. 26 (100.0)0 (0.0)
Moderate + severe6 (35.3)11 (64.7)45.83
(4.92–427.36)
0.0018 (47.1)9 (52.9)<0.001 *
* calculated using Fisher’s exact test. Legend: CI = confidence interval, OR = odds ratio.
Table 4. The association of common polymorphisms with epilepsy.
Table 4. The association of common polymorphisms with epilepsy.
SNPGenotypewithout Epilepsy
N (%)
with Epilepsy
N (%)
OR
(95% CI)
pOR
(95% CI) Adj
Padj
SOD2 rs4880CC12 (70.6)5 (29.4)Ref. Ref.
CT + TT27 (71.1)11 (28.9)0.98 (0.28–3.44)0.9721.1 (0.27–4.4)0.894
CAT rs1001179CC24 (64.9)13 (35.1)Ref. Ref.
CT + TT15 (83.3)3 (16.7)0.37 (0.09–1.51)0.1660.36 (0.08–1.65)0.187
GPX1 rs1050450CC17 (68)8 (32)Ref. Ref.
CT + TT22 (73.3)8 (26.7)0.77 (0.24–2.48)0.6651.07 (0.29–3.95)0.914
NLRP3 rs35829419CC34 (72.3)13 (27.7)Ref. Ref.
CA5 (62.5)3 (37.5)1.57 (0.33–7.52)0.5731.38 (0.24–7.76)0.717
CARD8 rs2043211AA17 (63)10 (37)Ref. Ref.
AT + TT22 (78.6)6 (21.4)0.46 (0.14–1.53)0.2070.27 (0.07–1.11)0.070
IL1B rs1143623GG21 (75)7 (25)Ref. Ref.
GC + CC18 (66.7)9 (33.3)1.50 (0.46–4.84)0.4971.86 (0.5–6.92)0.352
IL1B rs16944CC 21 (77.8)6 (22.2)Ref. Ref.
TC + TT18 (64.3)10 (35.7)1.94 (0.59–6.40)0.2741.99 (0.54–7.42)0.303
IL1B rs1071676GG14 (63.6)8 (36.4)Ref. Ref.
GC + CC25 (75.8)8 (24.2)0.56 (0.17–1.82)0.3350.58 (0.16–2.13)0.411
TNF rs1800629GG27 (73)10 (27)Ref. Ref.
GA + AA12 (66.7)6 (33.3)1.35 (0.40–4.57)0.6301.18 (0.31–4.54)0.811
Adj: adjusted for neonatal convulsions. Legend: CI = confidence interval, OR = odds ratio, SNP = single-nucleotide polymorphism.
Table 5. The association of common polymorphisms with cerebral palsy (CP).
Table 5. The association of common polymorphisms with cerebral palsy (CP).
SNPGenotypewithout CP
N (%)
with CP
N (%)
OR
(95% CI)
pOR
(95% CI) Adj
Padj
SOD2 rs4880CC11 (64.7)6 (35.3)Ref. Ref.
CT + TT29 (76.3)9 (23.7)0.57 (0.16–1.97)0.3740.57 (0.14–2.24)0.419
CAT rs1001179CC25 (67.6)12 (32.4)Ref. Ref.
CT + TT15 (83.3)3 (16.7)0.42 (0.10–1.72)0.2260.42 (0.09–1.91)0.262
GPX1 rs1050450CC18 (72)7 (28)Ref. Ref.
CT + TT22 (73.3)8 (26.7)0.94 (0.28–3.07)0.9121.33 (0.35–4.96)0.675
NLRP3 rs35829419CC34 (72.3)13 (27.7)Ref. Ref.
CA6 (75)2 (25)0.87 (0.16–4.88)0.8760.7 (0.11–4.39)0.701
CARD8 rs2043211AA18 (66.7)9 (33.3)Ref. Ref.
AT + TT22 (78.6)6 (21.4)0.55 (0.16–1.82)0.3250.36 (0.09–1.41)0.143
IL1B rs1143623GG22 (78.6)6 (21.4)Ref. Ref.
GC + CC18 (66.7)9 (33.3)1.83 (0.55–6.13)0.3252.32 (0.61–8.84)0.216
IL1B rs16944CC 22 (81.5)5 (18.5)Ref. Ref.
TC + TT18 (64.3)10 (35.7)2.44 (0.71–8.46)0.1582.58 (0.67–9.94)0.169
IL1B rs1071676GG15 (68.2)7 (31.8)Ref. Ref.
GC + CC25 (75.8)8 (24.2)0.69 (0.21–2.28)0.5380.74 (0.2–2.74)0.653
TNF rs1800629GG29 (78.4)8 (21.6)Ref. Ref.
GA + AA11 (61.1)7 (38.9)2.31 (0.67–7.88)0.1832.25 (0.58–8.7)0.238
Adj: adjusted for neonatal convulsions. Legend: CI = confidence interval, OR = odds ratio, SNP = single-nucleotide polymorphism.
Table 6. The interaction of CARD8 and ILB polymorphisms with epilepsy or cerebral palsy.
Table 6. The interaction of CARD8 and ILB polymorphisms with epilepsy or cerebral palsy.
EpilepsyCP
InteractionOR
(95% CI)
pOR
(95% CI) adj
PadjOR
(95% CI)
pOR
(95% CI) adj
Padj
CARD8 rs2043211 & IL1B rs11436235.00
(0.42–59.16)
0.20220.20
(0.99–412.40)
0.0513.50
(0.29–42.46)
0.3259.93
(0.56–175.78)
0.117
CARD8 rs2043211 & IL1B rs1694412.50
(0.76–205.33)
0.07732.91
(1.33–811.49)
0.0338.75
(0.52–146.93)
0.13216.96
(0.77–375.99)
0.073
CARD8 rs2043211 & IL1B rs10716760.90
(0.07–11.43)
0.9370.47
(0.03–8.21)
0.6082.80
(0.23–33.93)
0.4191.85
(0.12–28.78)
0.660
Adj: adjusted for neonatal convulsions. Legend: CI = confidence interval, OR = odds ratio.
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Esih, K.; Goričar, K.; Soltirovska-Šalamon, A.; Dolžan, V.; Rener-Primec, Z. Genetic Polymorphisms, Gene–Gene Interactions and Neurologic Sequelae at Two Years Follow-Up in Newborns with Hypoxic-Ischemic Encephalopathy Treated with Hypothermia. Antioxidants 2021, 10, 1495. https://doi.org/10.3390/antiox10091495

AMA Style

Esih K, Goričar K, Soltirovska-Šalamon A, Dolžan V, Rener-Primec Z. Genetic Polymorphisms, Gene–Gene Interactions and Neurologic Sequelae at Two Years Follow-Up in Newborns with Hypoxic-Ischemic Encephalopathy Treated with Hypothermia. Antioxidants. 2021; 10(9):1495. https://doi.org/10.3390/antiox10091495

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Esih, Katarina, Katja Goričar, Aneta Soltirovska-Šalamon, Vita Dolžan, and Zvonka Rener-Primec. 2021. "Genetic Polymorphisms, Gene–Gene Interactions and Neurologic Sequelae at Two Years Follow-Up in Newborns with Hypoxic-Ischemic Encephalopathy Treated with Hypothermia" Antioxidants 10, no. 9: 1495. https://doi.org/10.3390/antiox10091495

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