Introduction
Sudden infant death syndrome (SIDS), the leading cause of death in infants aged 1 month to 1 year in developed countries, is the sudden death of an infant under 1 year of age that remains unexplained after a thorough case investigation, including performing a complete autopsy, examining the death scene, and reviewing the clinical history [
1,
2]. However, the specific etiologic mechanisms of SIDS are poorly understood. The triple risk model suggests that a combination of a critical developmental stage, a vulnerable infant, and extrinsic factors is associated with SIDS [
3].
Previous relevant studies have shown increased brain weight and/or cerebral edema in some cases of SIDS [
4‐
8], although the results of some studies are inconsistent with this [
9‐
11]. For instance, the study conducted by Aranda et al. demonstrated that the cases diagnosed as SIDS had heavier brain weights compared to age-matched controls [
4], and the findings were in line with other related studies [
6‐
8]. The elevated brain weight in SIDS is thought to be possibly due to abnormal brain development or cerebral edema [
4,
6], whereas the exact pathogenic mechanism is still uncertain. In contrary, Studer et al. reported that they did not find an elevated brain-to-body weight ratio in SIDS cases; however, they also mentioned that cytotoxic edema in the central nervous system (CNS) does not always lead to brain swelling [
9]. In several Norwegian studies, genetic variants of aquaporin genes (AQP) like AQP1, 4, and 9, as critical rapid water transport channels on the plasma membrane, were associated with SIDS [
12‐
14]. Especially, aquaporin-4 (AQP4), a main water channel in the central nervous system, is known to have a key role in the formation of cerebral edema [
15‐
17]. For SIDS cases that are carriers of several specific
AQP4 variant genotypes (CT/TT, rs2075575), an increased brain-to-body weight ratio was found, and thus a putative association of
AQP4 variants and cerebral edema in SIDS [
12]. In a recent study, the lower expression of AQP4 in the brain tissue was observed in the carriers with the CT/TT genotype of rs2075575 [
18].
In addition to constitutively expressed transporters like AQP4, Kir4.1 as an ATP-sensitive K
+ channel could assemble with AQP4 to form a complex (water-ion transport coupling) that plays an important role in cerebral edema [
19]. Opdal et al. demonstrated the potential link between the SNP locus of the gene encoding Kir4.1 and SIDS [
14]. Like Kir4.1, the inducible SUR1-TRPM4 non-selective cation channel plays a similar role in the mechanism of brain edema formation when ATP is depleted and Ca
2+ concentration increases [
20‐
22]. It has been previously observed that AQP4 also could co-associate physically with SUR1-TRPM4 to form a heteromultimeric complex, as ion/water osmotic coupling, which exerts an important role in astrocyte swelling and cerebral edema caused after injury [
23]. The SUR1-TRPM4 non-selective cation channel includes two subunits: sulfonylurea receptor 1 (SUR1, encoded by the
ABCC8 gene) is a member of the ATP-binding cassette transporter family, with its activity modulated by the intracellular ATP/ADP ratio [
24]; transient receptor potential melastatin 4 (TRPM4) is a Ca
2+-regulated non-selective ion channel [
25]. Preclinical and clinical trials indicate that pharmacological blockade of SUR1-TRPM4 could be used to reduce secondary brain swelling after injury [
24,
26]. Additionally, studies have shown an association between intracranial pressure or cerebral edema after brain injury and several genetic SNP loci in these genes (
ABCC8 and
TRPM4) [
27‐
29].
Therefore, we hypothesized that variants located in the ABCC8 and TRPM4 genes may lead to an increased risk to develop cerebral edema and thus infants susceptible to SIDS and investigated 185 SIDS cases and 339 controls for 24 polymorphisms in candidate genes involved in the SUR1-TRPM4 non-selective cation channel relevant to the development of cerebral edema.
Results
We successfully genotyped 19 variants at
TRPM4 and
ABCC8 in up to 185 SIDS cases and 339 controls. All nominally significant results (
p < 0.05) of the chi-square analysis are listed in Table
2. In the overall analysis, one SNP (rs11667393 in the
TRPM4 gene) was below the significance threshold of
α = 0.05 (additive model:
p = 0.015, OR = 1.438, 95% CI = 1.074–1.925; dominant model:
p = 0.036; OR = 1.468, 95% CI = 1.024–2.106).
Table 2
Selected associations of ABCC8 and TRPM4 polymorphisms with SIDS
Overall (n = 185) | TRPM4 | rs11667393 | 80:88:17 | 1.438 (1.074–1.925) | 0.015 (G) | 1.468 (1.024–2.106) | 0.036 (GG/AG) | 1.916 (0.954–3.846) | 0.064 |
Age 0–4 months (n = 103) | ABCC8 | rs4148622 | 54:33:16 | 1.354 (0.976–1.879) | 0.069 | 1.208 (0.776–1.880) | 0.403 | 2.519 (1.420–4.975) | 0.006 (AA) |
Age 2–4 months (n = 74) | ABCC8 | rs4148622 | 41:22:11 | 1.255 (0.860–1.830) | 0.239 | 1.071 (0.646–1.778) | 0.790 | 2.392 (1.110–5.155) | 0.022 (AA) |
Age 4–8 months (n = 51) | ABCC8 | rs7105832 | 15:27:09 | 1.613 (1.060–2.456) | 0.026 (C) | 2.070 (1.093–3.923) | 0.023 (CC/AC) | 1.647 (0.746–3.650) | 0.213 |
Age 4–8 months (n = 51) | ABCC8 | rs3819521 | 17:24:10 | 1.534 (1.011–2.331) | 0.044 (T) | 1.715 (0.922–3.915) | 0.086 | 1.870 (0.868–4.032) | 0.105 |
Age 8–12 months (n = 9) | ABCC8 | rs7950189 | 5:02:02 | 0.531 (0.194–1.452) | 0.217 | 0.280 (0.074–1.068) | 0.048 (TT/CT) | 1.006 (0.205–4.950) | 0.994 |
Spring (n = 40) | ABCC8 | rs4148622 | 14:15:11 | 2.443 (1.533–3.849) | 0.0004 (A) | 2.472 (1.247–4.910) | 0.008 (AA/AG) | 5.208 (2.304–11.765) | 0.0002 (AA) |
Summer (n = 30) | TRPM4 | rs3760662 | 14:14:02 | 0.486 (0.274–0.864) | 0.014 (G) | 0.456 (0.214–0.971) | 0.038 (GG/AG) | 0.246 (0.057–1.055) | 0.042 (GG) |
Summer (n = 30) | TRPM4 | rs11083962 | 1:16:13 | 2.387 (1.346–4.234) | 0.003 (G) | 10.802 (1.450–80.432) | 0.004 (GG/GT) | 2.283 (1.066–4.902) | 0.030 (GG) |
Spring + Summer (n = 69) | ABCC8 | rs4148622 | 32:22:15 | 1.732 (1.195–2.511) | 0.004 (A) | 1.539 (0.915–2.588) | 0.103 | 3.802 (1.866–7.752) | 0.0002 (AA) |
Spring + Summer (n = 70) | TRPM4 | rs3760662 | 31:26:13 | 0.679 (0.470–0.981) | 0.039 (G) | 0.502 (0.296–0.852) | 0.010 (GG/AG) | 0.784 (0.407–1.511) | 0.467 |
Spring + Summer (n = 69) | TRPM4 | rs11083962 | 11:33:25 | 1.548(1.071–2.237) | 0.020 (G) | 1.964(0.987–3.906) | 0.051 | 1.698 (0.980–2.941) | 0.057 |
Winter (n = 40) | ABCC8 | rs7112138 | 10:20:10 | 1.712 (1.080–2.710) | 0.022 (A) | 2.110 (0.999–4.464) | 0.046 (AA/AG) | 2.021 (0.929–4.405) | 0.072 |
Prone sleep position (n = 34) | ABCC8 | rs3758953 | 4:16:14 | 1.810 (1.079–3.038) | 0.025 (G) | 2.589 (0.887–7.559) | 0.072 | 2.028 (0.982–4.184) | 0.052 |
Other sleep positions (n = 12) | ABCC8 | rs7950189 | 1:05:06 | 2.721 (1.091–6.783) | 0.032 (T) | 3.857 (0.491–30.303) | 0.168 | 3.521 (1.104–11.236) | 0.024 (TT) |
The stratified analysis was performed to evaluate the effects of the variants located in ABCC8 and TRPM4 on the hazards of SIDS by age, gender, time of death season, and sleep positions. In the stratified results, 14 nominally significant results (p < 0.05) were obtained. The only one associated locus in the main analysis, rs11667393, showed no specific associations in any one subcategory. However, rs4148622 in ABCC8 indicated significant differences between cases and controls in four subgroups (“age 0–4 months,” “age 2–4 months,” “Spring,” and “Spring + Summer”), and rs7950189 in ABCC8 in two subgroups (“age 8–12 months” and “other sleep positions”). Both rs3760662 and rs11083962 in the TRPM4 gene were associated with SIDS in two subgroups (“Summer” and “Spring + Summer”). Variants rs7105832 and rs3819521 located in ABCC8 showed associations with SIDS in one subgroup (“age 4–8 months”). In the “Winter” subcategory, rs7112138 from ABCC8 was indicated to be related to SIDS. SNP rs3758953 at the ABCC8 gene had a single association in the category “Prone sleep position.” None of the above-mentioned findings in the stratified analysis remained statistically significant after Bonferroni correction at α = 0.0001, but these results may still suggest a biological relevance for the etiology of SIDS.
In a haplotype analysis, the extent of LD among the identified SNPs in
ABCC8 and
TRPM4 was estimated using Haploview 4.2 and LDlink. The related haplotype blocks were respectively screened in
ABCC8 and
TRPM4 (Fig.
1). The haplotype block in
ABCC8 was comprised of 4 SNPs (rs7950189, rs3819521, rs1048099, and rs985136). The haplotype-based association analysis provided evidence that the haplotype TCAG in
ABCC8 may be relevant for SIDS (
p = 0.040) (Table
3). As for
TRPM4, three SNPs (rs11083963, rs12980226, and rs7251160) were included in the block.
TRPM4 haplotype AAT was significantly associated with SIDS (
p = 0.031) (Table
4). Nevertheless, both potentially associated risk haplotypes were rare in both SIDS and controls.
Table 3
Results of the haplotype analysis of ABCC8 markers rs7950189, rs3819521, rs1048099, and rs985136
CCGG | 0.391 | 147.6: 222.4, 262.4: 415.6 | 0.399, 0.387 | 0.704 |
TTAC | 0.259 | 96.7: 273.3, 174.8: 503.2 | 0.261, 0.258 | 0.901 |
TCAC | 0.133 | 48.0: 322.0, 91.4: 586.6 | 0.130, 0.135 | 0.816 |
TTAG | 0.059 | 18.7: 351.3, 43.1: 634.9 | 0.050, 0.064 | 0.387 |
CCGC | 0.054 | 15.8: 354.2, 40.5: 637.5 | 0.043, 0.060 | 0.244 |
TCGC | 0.04 | 14.5: 355.5, 27.7: 650.3 | 0.039, 0.041 | 0.898 |
TCAG | 0.023 | 13.3: 356.7, 10.8: 667.2 | 0.036, 0.016 | 0.040 |
CCAC | 0.016 | 4.3: 365.7, 12.7: 665.3 | 0.012, 0.019 | 0.385 |
Table 4
Results of the haplotype analysis of TRPM4 markers rs11083963, rs12980226, and rs7251160
GAC | 0.482 | 179.1: 190.9, 326.1: 351.9 | 0.484, 0.481 | 0.923 |
ACT | 0.28 | 102.2: 267.8, 191.5: 486.5 | 0.276, 0.282 | 0.830 |
AAC | 0.139 | 53.2: 316.8, 92.7: 585.3 | 0.144, 0.137 | 0.752 |
GAT | 0.044 | 13.6: 356.4, 32.3: 645.7 | 0.037, 0.048 | 0.410 |
ACC | 0.03 | 6.5: 363.5, 25.0: 653.0 | 0.018, 0.037 | 0.081 |
AAT | 0.02 | 12.1: 357.9, 8.9: 669.1 | 0.033, 0.013 | 0.031 |
To assess a potential functional relevance for the gene expression, cis-eQTL target gene expression was employed using the online data from Genotype-Tissue Expression (GTEx) project. Eight of the nine SNPs with nominally statistical significance (except rs3758953 from ABCC8) were reported to influence the gene expression in tissue from the CNS.
Discussion
It has been postulated that disturbances in the brain water balance may be involved in the pathogenesis of at least some SIDS cases. Previous studies have uncovered that SNP loci for genes involved in ion channels and water channels (like AQP1, 4, 9, and Kir4.1) might be associated with SIDS [
12‐
14], although one study did not confirm this finding [
9]. The opening of SUR1-TRPM4 channels is associated with an undifferentiated influx of monovalent cations and cell depolarization, followed by cytotoxic edema, cell death, blood–brain barrier (BBB) breakdown, and formation of vasogenic edema in the CNS, suggesting an important role of the SUR1-TRPM4 non-selective cation channel in brain edema [
27‐
29]. Accordingly, it is reasonable to speculate that this SUR1-TRPM4 complex might play a potential role at least in some subgroups of SIDS, although up to now this has never been studied. In the present study, we thus investigated the genotypes and haplotypes of 24 SNP loci located in the corresponding genes (
ABCC8 and
TRPM4).
Overall, there was evidence that 9 of the 24 candidate SNP loci could be associated with SIDS, though 8 of them only in subgroups. Three putative risk SNPs were located within TRPM4 and the other six in ABCC8. The only nominally significant SNP in the main analysis was located in TRPM4, and the other 8 genetic variants were identified in the stratified analysis (ABCC8 (6 variants) and TRPM4 (2 variants)).
The G allele or GG/AG genotypes of polymorphism rs11667393 located in
TRPM4 were associated with SIDS (allele G in SIDS: 32.9%, vs. 26.1% in controls), suggesting that this SNP locus could be an influential predisposing factor. However, in a study on cerebral edema secondary to traumatic brain injury (TBI), no association for this locus was shown [
27]. According to the GETx database (although being an intronic variant), carriers of the rs11667393 G allele typically have alerted mRNA levels of
TRPM4 in several human tissues, suggesting that this variant may affect the
TRPM4 gene expression. The increased expression of TRMP4 could aggravate the cation inward flow into the cells of the nervous system [
24]. In a situation of relatively mild cerebral hypoxia, e.g., due to insufficient respiration, this increased inflow might mean the difference between a self-limited disorder and manifest and potentially lethal brain edema. However, this locus was not found to be associated with specific SIDS subsets in the following stratified analysis, suggesting a more general effect. It is possible that SIDS risk factors interacting with this locus were not included in the stratified analysis, such as maternal smoking and maternal alcohol consumption. In previous studies on cerebral edema in SIDS, it was reported that maternal smoking in conjunction with some genetic risk factors showed a borderline association with SIDS, and SIDS cases with maternal alcohol consumption were observed with increased weight ratios of brain to body [
9,
12]. Regrettably, maternal smoking and alcohol consumption, as possible co-acting factors, were not included in the present study.
Regarding the 8 SNP loci with statistical significance in the stratified analysis, the locus of greatest interest was rs4148622 (
ABCC8), as it was associated with SIDS in multiple stratified analyses. It was reported by Jha et al. that the wild allele at this SNP could be used for predicting 3-month outcomes of cerebral edema after severe TBI [
28], indicating that this polymorphism might be associated with the development of brain edema. The effect allele G of rs4148622 was linked to higher mRNA levels of
ABCC8 in the brain tissues according to the eQTL analysis from the GTEx database. Therefore, one would expect to find an accumulation of the G allele in SIDS. However, the opposite was the case: the frequency of the G allele was lower in SIDS. Nevertheless, higher mRNA levels do not necessarily indicate increased protein expression, as the probe used for the eQTL analysis might just have recognized one splicing isoform: Rs4148622 and its proxy loci (rs2355017 and rs4757516) act as possible splicing variants and might influence the spatial structure of the SUR1 protein, possibly impairing the assembly of the subunits of the SUR1-TRPM4 complex [
28]. Considering this, the low frequency of the G allele in SIDS fits well to the hypothesis of SIDS and genetically determined brain edema as postulated by Opdal et al. [
11‐
13].
For rs7105832 and rs3819521 in
ABCC8 that were also associated with subgroups of SIDS in the present study, several studies demonstrated a relation to cerebral edema or increased intracranial pressure [
28,
29]. It was demonstrated that the variant allele of rs7105832 was associated with increased average intracranial pressure (ICP) in cerebral edema patients [
28], and that the rare homozygous genotype of rs3819521 was linked to increased odds of CT edema after TBI [
29].
Interestingly, the
ABCC8 locus and specifically the variant rs3758953 in this study have been reported to be associated with type 2 diabetes, and the carriers of the risk genotypes of rs3758953 had higher levels of both glucose and insulin [
32]. It has been shown that hyperglycemia causes the outflow of intracellular water into the tissue interstitial space and thus edema [
33].
Besides a potential role in brain edema, SUR1 and TRPM4 as important ion channels are expressed in several human organs such as the heart, brain, and pancreas. Therefore, their physiological roles are diverse and thus could contribute to the individual SIDS risk in more ways than just via brain edema: Loss-of-function variants in
ABCC8 or
TRPM4 can cause lethal cardiovascular and metabolic genetic disorders, such as congenital hyperinsulinism, Brugada syndrome, or long QT syndrome (LQTS), potentially leading to sudden infant death instead of genuine SIDS [
34‐
39]. In a recent study, 2 of 45 victims from sudden unexplained death (in adults) were reported to show a deletion in the coding region of the TRPM4 gene [
40]. In a polygenic context for SIDS etiology, multiple genetic and external risk factors may contribute to SIDS simultaneously rather than one genetic variant leading to accepted genuine SIDS. It should, however, be stressed that the specific loss-of-function variants causing the above-mentioned lethal genetic disorders were not studied in the present study.
Some of the variants in genes ABCC8 (rs7950189, and rs7112138) and TRPM4 (rs11083962) studied herein reached significant results in different subgroups; however, no previous studies reporting their related association with other diseases could be found. Nevertheless, for these loci was demonstrated by the eQTL analysis that they influence gene expression and thus may make carriers of these loci more susceptible to SIDS. The haplotype analysis demonstrated that the haplotypes in ABCC8 and TRPM4, consisting of risk alleles of partial SNPs, were associated with SIDS. Although the frequency of risk haplotypes is low (< 5%), the results suggest that variants may combine to modulate the risk of SIDS.
Several potential limitations in this study should be mentioned. Firstly, all nominal significant results, after multiple testing corrections, no longer reached the required level of significance (although rs4148622 came close). Therefore, future studies involving larger sample sizes should be performed to validate our findings. Secondly, as limited information on their biological functions is available for some loci tested herein, it is needed to be careful when interpreting their potential roles in SNP-mediated SIDS etiology. Thirdly, some well-known SIDS risk factors linked to cerebral edema like maternal smoking and alcohol consumption have not been included in the present study as related records were not available to us.
In summary, we investigated for the first time the association of genetic variants involved in the SUR1-TRPM4 non-selective cation channel genes related to brain edema with SIDS. Despite these promising results, further studies with a larger sample size are supposed to confirm our results. Even more so, it would be informative if functional studies are conducted in the future to determine the function of risk genotypes and to be better able to interpret their impact on the pathogenesis of SIDS.
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