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BMC Medical Genetics

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Association between Ngb polymorphisms and ischemic stroke in the Southern Chinese Han population

Contributed equally
BMC Medical Genetics20089:110

https://doi.org/10.1186/1471-2350-9-110

Received: 11 July 2008

Accepted: 16 December 2008

Published: 16 December 2008

Abstract

Background

Neuroglobin (Ngb), one of novel members of the globin superfamily, is expressed predominantly in brain neurons, and appears to modulate hypoxic-ischemic insults. The mechanisms underlying Ngb-mediated neuronal protection are still unclear. For it is one of the candidate protective factors for ischemic stroke, we conducted a case-control study to clarify the association of Ngb polymorphisms with ischemic stroke in the Southern Chinese Han population.

Methods

355 cases and 158 controls were recruited. With brain imaging, cases were subdivided into large-artery atherosclerosis (LVD) and small-vessel occlusion (SVD) stroke. PCR amplified all the four exons of Ngb and flanking intron sequence for each exon. Genotyping for Ngb was achieved by direct sequencing and mismatched PCR-RFLP. Polymorphisms were studied both individually and as haplotypes in each group and subgroup which subdivided according to gender or age.

Results

Two intronic polymorphisms 89+104 c>t and 322-110 (6a)>5a were identified. The allele frequency of 89+104 t was decreased in stroke cases. The protective effect seems to be more pronounced in subgroups of female patients and age > 60 years. Also, we have confirmed decreased LDL-C level and reduced hypertension and hypercholesterolemia in 89+104 t allele carriers. In contrast, the 322-110 (6a)>5a genotype distribution was similar between cases and controls. However, the haplotype 89+104 c>t/322-110 (6a)>5a was related with LVD and SVD stroke. The haplotype c-5a was more frequent in both LVD and SVD groups while t-6a was more frequent in controls.

Conclusion

Ngb polymorphism 89+104 t had protective effects on LVD and SVD in the Southern Chinese Han population. A "hitchhiking" effect was observed for the 89+104 t/322-110 (6a) genotype combination especially for LVD.

Background

Neuroglobin (Ngb, LocusID: 58157; GenBank: DQ008010) is a newly discovered globular heme protein in the vertebrate brain that displays a high affinity for oxygen like myoglobin (Mb) and hemoglobin (Hb) [1]. Ngb is preferentially expressed in the neurons, as well as some endocrine tissues [1, 2]. The highest Ngb concentration has been found in the retina, which is also the highest O2-consuming organ of the body [3].

Ngb is hypoxia-inducible in cultures of cerebral cortical neurons [4] and some neuronal cell lines, such as PC12, immortalized rat hippocampal neuron (HN33) [5, 6] and hybrid dorsal root ganglia neuroblastoma cell (ND15) [7]. Prolonged or sustained hypoxia increased Ngb expression in vitro [5] or in vivo [8]. The increasing magnitudes of Ngb mRNA levels, ranging from 150% to 500%, can be explained by various experimental conditions or cell lines [6, 8, 9]. For example, Ngb mRNA was time-dependently upregulated during the first 8 h in a constant hypoxic environment of 1% O2, while no significant upregulation occured before 48 h in 3% O2 [6]. However, there were contradictory data as to whether Ngb was upregulated under hypoxic conditions in brain [10, 11]. Several factors, namely species, brain region, severity and duration of hypoxia, and the pattern of hypoxic exposures, could have accounted for such disparate findings [9]. Cerebral ischemia is another stimulus to Ngb expression, although findings vary depending on the model used and the experiment designed [12]. Focal cerebral ischemia is clearly associated with Ngb induction, especially in the penumbra [4]. Transient global forebrain ischemia increases Ngb expression in the gerbil cerebral cortex and serum, but not in the hippocampus [13].

Ngb appears to show the neuroprotective potential following hypoxic and ischemic insults [1315]. In cultured cortical neurons, antisense-mediated down-regulation of Ngb decreases cell viability under hypoxia, whereas additional Ngb improves HN33 cells survival [4]. After transfected with Ngb-expressing plasmid, human neuroblastoma cells (SH-SY5Y) are resistant to oxidative injury induced by H2O2 [16]. Intracellular delivery of Ngb by human immunodeficiency virus-1 transactivator of transcription (TAT) protein transduction domain fails to rescue rat retinal ganglion (RGC-5) or SH-SY5Y cells from combined oxygen and glucose deprivation [17], whereas in another case, Ngb-TAT-treated cultured rat cortical neurons shows reduced sensitivity to hypoxia [18]. Administration of anti-sense oligodeoxynucleotides directed against Ngb exacerbates experimental stroke in vivo, while intracerebral administration of Ngb with an adeno-associated virus vector reduces the focal cerebral infarct size indeed [15]. Furthermore, overexpression of Ngb in a transgenic mouse model reduces cerebral infarct size following middle cerebral artery occlusion (MCAO) [14, 19].

However, the mechanisms underlying Ngb-mediated neuronal protection during hypoxic/ischemic stress remain largely unknown. It seems to us unlikely that Ngb is primarily an O2 transporter, because of its fairly low average tissue concentration (approximately micromolar) compared with Mb (0.2 mM or so) in muscles [20]. Several proposed mechanisms include Ngb acting as an oxygen sensor and storage molecule [21, 22], operating as a guanine nucleotide dissociation inhibitor and then increasing levels of free Gβγ [23], interacting with neuronal membrane proteins including Na-K-ATPase [24] and flotillin-1 [25], and even acting as an intracellular ROS (reactive oxygen species)/RNS (reactive nitrogen species) scavenger [20, 26] via reduction reactions leading to ferric-Ngb conversion to ferrous-Ngb by endogenous reducing enzyme systems [27]. Ngb not only decreases oxidative stress induced ROS/RNS overproduction and lipid peroxidation [4, 14, 28], but also attenuates subsequent mitochondrial dysfunction, apoptosis, and cell death [30, 29]. Its antioxidant properties were consistent with the protective role against oxidative stress-induced injury [31]. Recently met NGB (ferric-NGB) was found acting not only as scavenger of reactive species, but also as a target of the self-generated reactive species [32].

Whatever its function and mechanism is, it can be summarized that the majority of studies agrees that Ngb is beneficial for neuronal survival during hypoxic/ischemic stress. Based on aforementioned considerations, we hypothesize that Ngb may be one of the candidate genes associated with ischemic stroke. Human Ngb, located on chromosome 14q24, has a 3 intron/4 exon structure [1, 33]. The aim of this study is to investigate the association between Ngb polymorphisms or genotypes and ischemic stroke in the Southern Chinese Han population, which is the first allele association study on human Ngb and stroke.

Methods

Subjects

Patients undergoing cranial computed tomography (CT) and magnetic resonance imaging (MRI) and diagnosed as ischemic stroke according to World Health Organization (WHO) criteria were prospectively recruited between September 1, 2004 and February 28, 2007. Cases with a history of malignant disorders, infections, cardiovascular diseases and peripheral vascular diseases, atrial fibrillation, cerebrovascular malformations, brain tumors and traumatic cerebrovascular diseases were excluded. According to the clinical features and the results of diagnostic workup, the following causes of stroke were diagnosed based on TOAST criteria [34]: LVD stroke, SVD stroke, cardioembolic (CE) stroke, and stroke of other determined or undetermined etiology. Only patients with LVD stroke and SVD stroke were included for further analysis. Among them, 221 patients had LVD stroke (160 males and 61 females) and the mean age at onset was 66.61 ± 10.47 years (range: 41–88 years), 134 patients had SVD stroke (76 males and 58 females) and the mean age at onset was 66.96 ± 7.62 years (range: 51–84 years). 158 unrelated age- and sex-matched controls (103 males and 55 females, mean age: 65.08 ± 10.44 years, range: 48–83 years) free of clinically detectable cardiovascular or cerebrovascular disease and positive family history of cerebrovascular disease were recruited from persons undergoing annual medical examination. All subjects came from the Southern Chinese Han population. The study was approved by the local ethics committee, and informed consent was obtained from all participants. Demographic data were collected from stroke patients and controls. Hypertension was defined as repeatedly elevated blood pressure (mean of 3 measurements) exceeding 140/90 mmHg or the use of antihypertensive drugs. Diabetes mellitus is characterized by recurrent or persistent hyperglycemia, and is diagnosed by demonstrating any one of the following three:(1) fasting plasma glucose level at or above 126 mg/dL (7.0 mmol/L), (2) plasma glucose at or above 200 mg/dL (11.1 mmol/L) two hours after a 75 g oral glucose load as in a glucose tolerance test, (3) random plasma glucose at or above 200 mg/dL (11.1 mmol/L). Cigarette smoking is defined as having smoked at least 1 cigarette per day for 1 year or more, and former smokers whose smoke cessation more than five years are not included. Alcohol consumption is defined as drinking alcohol at least 12 times during the last year. [35]

Genotyping

Genomic DNA was extracted from peripheral blood with QIAamp DNA Blood Minikit (QIAGEN GmbH, Hilden, Germany). Primers used for PCR are illustrated in additional file 1 (Suppl. Table 1. Primers of Ngb and conditions of PCR). PCR amplified all the four exons of Ngb and 95–303 base pairs of the flanking intron sequence for each exon. DNA sequencing was performed with an ABI Prism 3730 genetic analyzer (Applied Biosystems Inc., Foster City, Calif.) by using an ABI dye terminator cycle sequencing kit (Fig. 1). The mismatched PCR-RFLP (primers were showed in Suppl. Table 1.) was used for screening the detected polymorphisms. Ten microlitres of PCR product were digested with the appropriate restriction enzyme according to the manufacturer's recommendations (New England Biolabs, Beverly, MA, USA) and followed by a 2.5% agarose gel electrophoresis (Fig. 2). The D2000 marker (Tianwei Inc, Beijing, China) ranging from 100 bp to 2000 bp was used as the size marker.
Figure 1

Chromatograms of the polymorphisms 89+104 c>t and 322-110 (6a)>5a identified in the Ngb gene. Normal sequences are shown in the upper of each box, and the corresponding polymorphisms are shown in middle and down of each box.

Figure 2

Mismatched PCR-RFLP analysis of the 89+104 c>t polymorphism. KpnI recognition site was created in the PCR product by means of mismatched primers KpnINgb. After cleavage with KpnI, the cc individuals (lane 5 and 6) carried a 260 bp fragment, the tt individuals (lane 1 and 2) carried a 284 bp fragment, and the ct individuals (lane 3 and 4) carried both 260 bp and 284 bp fragments. The size marker (M) is D2000 ranging from 100 bp to 2000 bp.

Statistical Analysis

Data on quantitative characteristics are expressed as means ± SD. Data on qualitative characteristics are expressed as percent values or absolute numbers, as indicated. Differences in demographic characteristics and vascular risk factors between patients and controls were initially compared by univariate analysis using Student's t test (for 2 groups) or ANOVA (for 3 groups) for continuous variables and the χ2 test for all categorical variables. Tests for Hardy-Weinberg equilibrium were conducted using χ2 tests. Genotypes and allele frequencies were compared by χ2 analysis or Fisher's exact test. Multivariate logistic regression analysis was used to determine the influence of Ngb polymorphisms on disease risk, controlling potential confounding risk variables including age, sex, and other conventional risk factors. A forward stepwise (Likelihood Ratio) procedure was used for multivariable analysis. The associations of haplotypes comprising Ngb polymorphisms with ischemic stroke were estimated using SHEsis Software [36]. Data were analyzed with the SPSS 13.0 package (SPSS Inc) and results were considered statistically significant at P < 0.01 using a 2-tailed test. The two intronic SNPs, 89+104 c>t (rs4903565) and 322-110 (6a)>5a (rs28909968) of Neuroglobin were identified. Genotyping observations were performed blind by different investigators. The post hoc power analysis was done by PASS2005 software.

Results

Subject Characteristics

Demographic data and risk factor profiles of patients and controls are presented in additional file 2 (Suppl. Table 2. Clinical and biochemical characteristics of three groups). Concerning the gender, BMI, alcohol intake and smoking, there were no significant differences between cases and controls. However, some risk factors did differ. For example, hypertension and diabetes were more common than controls in LVD, but only hypertension was more common in SVD patients. LDL-C, TC and TG levels were significantly higher in LVD than in controls, while only LDL-C level was higher in SVD. HDL-C level was lower in stroke patients especially in LVD patients. Mean age and gender composition did not differ between LVD or SVD patients.

Association with Ngb Genotypes and Alleles

Two intronic SNPs, 89+104 c>t (rs4903565) and 322-110 (6a)>5a (rs28909968) of Neuroglobin, were identified in this study (Fig. 1 and 3). Both polymorphisms were in Hardy-Weinberg equilibrium for the total group and each group separately. Among all the 513 subjects, genotyping of 89+104 c>t for 120 LVD and 120 SVD patients was all done by direct sequencing. The miamatched PCR-RFLP was used for the remained 273 subjects. Genotypes and allele frequency distributions are presented in Table 1. In the control group, the frequencies of the cc, ct and tt genotypes for 89+104 c>t were 0.146, 0.538, and 0.316, respectively. The frequency of the tt genotype and the frequency of t allele was significantly lower in the LVD and SVD group than in the control group (P < 0.01). When the sexes were analyzed separately, men with SVD did not have significantly lower t allele frequency than those without (P = 0.036); while men with LVD and women with LVD or SVD had a significant lower t allele frequency (P < 0.01). After separated into >60 and ≤ 60 years subgroups, the tendency to t allele frequency decreases can be observed by comparing the control group to patients with age >60 years (P < 0.01), although patients with age ≤ 60 years had a lower t allele frequency too, which was not significant (P = 0.011 and 0.030 for LVD and SVD). Genotyping of 322-110 (6a)>5a was all done by direct sequencing. The 322-110 (6a)>5a genotype distribution was similar in patients with LVD or SVD stroke when compared with controls, which may be due to lack of power (power = 0.0794 and 0.2359 for LVD and SVD respectively) or there is no association in fact.
Table 1

Genotype and allele frequency distributions of Ngb polymorphisms

Ngbpolymorphism

All

Male

Female

 

Controls

n (%)

LVD

n (%)

SVD

n (%)

Controls

n (%)

LVD

n (%)

SVD

n (%)

Controls

n (%)

LVD

n (%)

SVD

n (%)

89+104 c>t

         

cc

23(14.6)

92(41.6)

52(38.8)

14(13.6)

67(41.9)

27(35.5)

9(16.4)

25(41.0)

25(43.1)

ct

85(53.8)

97(43.9)

56(41.8)

67(65.0)

66(41.3)

34(44.7)

18(32.7)

31(50.8)

22(37.9)

tt

50(31.6)

32(14.5) **

26(19.4) **

22(21.4)

27(16.8) **

15(19.8)**

28(50.9)

5(8.2)**

11(19.0)**

c

131(41.5)

281(63.6)

160(59.7)

95(46.1)

200(62.5)

88(57.9)

36(32.7)

81(66.4)

72(62.1)

t

185(58.5)

161(36.4)**

108(40.3)**

111(53.9)

120(37.5)**

64(42.1)*

74(67.3)

41(33.6)**

44(37.9)**

H-W

0.173

0.437

0.128

      

322-110 (6a)>5a

         

6a6a

39(24.7)

53(24.0)

32(23.9)

25(24.3)

39(24.4)

18(23.7)

14(25.5)

14(23.0)

14(24.1)

6a5a

88(55.7)

118(53.4)

63(47.0)

58(56.3)

81(50.6)

38(50.0)

30(54.5)

37(60.7)

25(43.1)

5a5a

31(19.6)

50(22.6)

39(29.1)

20(19.4)

40(25.0)

20(26.3)

11(20.0)

10(16.4)

19(32.8)

6a

166(52.5)

224(50.7)

127(47.4)

108(52.4)

159(49.7)

74(48.7)

58(52.7)

65(53.3)

53(45.7)

5a

150(47.5)

218(49.3)

141(52.6)

98(47.6)

161(50.3)

78(51.3)

52(47.3)

57(46.7)

63(54.3)

H-W

0.142

0.312

0.508

      

Ngb polymorphism

≤ 60 years

>60years

   
 

Controls

n (%)

LVD

n (%)

SVD

n (%)

Controls

n (%)

LVD

n (%)

SVD

n (%)

   

89+104 c>t

         

cc

13(18.8)

26(38.2)

15(41.7)

10(11.2)

66(43.1)

37(37.8)

   

ct

37(53.6)

32(47.1)

15(41.7)

48(53.9)

65(42.5)

41(41.8)

   

tt

19(27.5)

10(14.7)*

6(16.6)*

31(34.9)

22(14.4)**

20(20.4)**

   

c

63(45.7)

84(61.8)

45(62.5)

68(38.2)

197(64.4)

115(58.7)

   

t

75(54.3)

52(38.2)*

27(37.5)*

110(61.8)

109(35.6)**

81(41.3)**

   

322-110 (6a)>5a

         

6a6a

18(26.1)

16(23.5)

15(41.7)

21(23.6)

37(24.2)

17(17.3)

   

6a5a

36(52.2)

40(58.8)

14(38.9)

52(58.4)

78(51.0)

49(50.0)

   

5a5a

15(21.7)

12(17.6)

7(19.4)

16(18.0)

38(24.8)

32(32.7)

   

6a

72(52.2)

72(52.9)

44(61.1)

94(52.8)

152(49.7)

83(42.3)

   

5a

66(47.8)

64(47.1)

28(38.9)

84(47.2)

154(50.3)

113(57.7)

   

Compared with control group: *P < 0.05, **P < 0.01

H-W indicates Pearson's P value for χ2 test of Hardy-Weinberg equilibrium.

Figure 3

The positions of the two SNPs in the Ngb gene. '1 -89, 90 -201, 202 -321, 322 -456' show the positions of each exon in the human Ngb cDNA sequence. The intronic SNP positions in the human Ngb gene are indicated by arrows.

Odds Ratios for associations between Ngb polymorphisms and LVD or SVD phenotype were showed in Table 2, Table 3 and additional file 3 (Suppl. Table 3. Univariate logistic regression analysis relatedto LVD and SVD). The 89+104 c>t was significantly associated with LVD patients in multivariate analysis, including age, sex, TG, TC (HDL-C and LDL-C), FIB, hypertension, diabetes mellitus type 2 and smoking. The event of LVD was significantly reduced in tt compared with cc individuals (odds ratio of tt, 0.261; 95% CI, 0.130 to 0.527; P < 0.0001). Conversely, this translated to an approximate 4-fold increased risk (odds ratio, 3.825; 95% CI, 1.897 to 7.713; P < 0.0001) for cc individuals relative to tt. However, 89+104 c>t was not significantly associated with LVD patients in male subgroup and ≤ 60 years subgroup. T allele of 89+104 c>t was also associated with SVD stroke (odds ratio of t allele, 0.278; 95% CI, 0.156 to 0.495; P < 0.0001), especially in female subgroup (odds ratio of t allele, 0.250; 95% CI, 0.102 to 0.612; P = 0.002). The LDL-C level of t allele carriers was lower than c/c homozygotes. In t allele carriers, hypertension and hypercholesterolemia (Total Cholesterol ≥ 240 mg/dl or 6.22 mmol/L) [37] were less common compared with c/c homozygotes.
Table 2

Multivariate logistic regression analysis of Ngb polymorphisms related to LVD and SVD

  

LVD

SVD

  

Odds Ratio (95%CI) *

P*

Odds Ratio (95%CI) *

P*

89+104 c>t

cc

reference

 

reference

 
 

ct

0.395 (0.219–0.711)

0.002

0.289(0.157–0.533)

<0.0001

 

tt

0.261(0.130–0.527)

<0.0001

0.256(0.127–0.515)

<0.0001

 

c

    
 

t

0.351(0.199–0.617)

<0.0001

0.278(0.156–0.495)

<0.0001

322–110 (6a)>5a

6a6a

reference

 

reference

 
 

6a5a

1.164(0.665–2.037)

0.594

0.746(0.409–1.361)

0.340

 

5a5a

1.292(0.657–2.543)

0.458

1.336(0.662–2.697)

0.418

 

6a

    
 

5a

1.199(0.702–2.048)

0.506

0.894(0.505–1.582)

0.701

* Hypertension, DM 2, Smoking, TG level, HDL-C and LDL-C level have been adjusted.

Table 3

Multivariate logistic regression analysis of 89+104 c>t related to female and >60 years subgroups

89+104 c>t

Female LVD vs control

Female SVD vs control

>60 years LVD vs control

 

Odds Ratio (95%CI)*

P*

Odds Ratio (95%CI)*

P*

Odds Ratio(95%CI) **

P**

cc

reference

 

reference

 

reference

 

ct

0.634(0.231–1.740)

0.376

0.444(0.163–1.204)

0.111

0.242(0.104–0.563)

0.001

tt

0.062(0.017–0.230)

<0.0001

0.128(0.044–0.371)

<0.0001

0.219(0.086–0.556)

0.001

c

reference

 

reference

 

reference

 

t

0.283(0.112–0.716)

0.008

0.250(0.102–0.612)

0.002

0.233(0.104–0.521)

<0.0001

* Age, Hypertension, DM 2, Smoking, TG level, HDL-C and LDL-C level have been adjusted.

** Sex, Hypertension, DM 2, Smoking, TG level, HDL-C and LDL-C level have been adjusted.

Association with Ngb Haplotypes

Analysis of the two above genotypes resulted in 4 possible haplotypes and the frequencies were given in Table 4. The haplotype 89+104c/322-110(5a) (c-5a) was more frequent in both LVD and SVD groups while the haplotype 89+104t/322-110(6a) (t-6a) was more frequent in controls. The c-5a occurred in 33.7% of the LVD cases versus 21.7% of controls, yielding an odds ratio (OR) of 1.838 (95% CI, 1.318 to 2.563; P < 0.0001). And the effect of c-5a on SVD risk was in the same direction as that observed in LVD strokes (OR1.997, 95% CI, 1.384 to 2.880; P < 0.0001). Conversely, the t-6a occurred in 32.8% of controls versus 20.8% of LVD and 23.3% of SVD, with the ORs of 0.540 (95% CI, 0.389 to 0.750; P < 0.0001) and 0.623 (95% CI, 0.431 to 0.900; P = 0.011) respectively.
Table 4

Association study with Ngb haplotypes in LVD and SVD patients

Haplotype Poly1/Poly2

LVD vs Control

 

SVD vs Control

 
 

LVD

n (%)

Control

n (%)

OR (95%CI)

P

SVD

n (%)

Control

n (%)

OR (95%CI)

P

c-6a

131.91(29.8)

62.48(19.8)

1.726(1.224–2.434)

0.002

64.59(24.1)

62.48(19.8)

1.288(0.869–1.910)

0.201

c-5a

149.09(33.7)

68.52(21.7)

1.838(1.318–2.563)

<0.0001

95.42(35.6)

68.52(21.7)

1.997(1.384–2.880)

<0.0001

t-6a

92.09(20.8)

103.53(32.8)

0.540(0.389–0.750)

<0.0001

62.42(23.3)

103.53(32.8)

0.623(0.431–0.900)

0.011

t-5a

68.91(15.6)

81.47(25.8)

0.532(0.371–-0.762)

0.001

45.58(17.0)

81.47(25.8)

0.590(0.393–0.886)

0.010

Global χ2

   

36.407

   

20.966

Fisher P

   

<0.0001

   

<0.0001

Poly1: 89+104 c>t; Poly2: 322-110 (6a)>5a

Discussion

For Ngb is hypoxia/ischemia-upregulated and shows the neuroprotective potential during hypoxic/ischemic stress, the Ngb polymorphisms may be one of the candidates for being a genetic factor associated with ischemic stoke. In the present study, we have investigated the association of Ngb polymorphisms with ischemic stoke in the Southern Chinese Han population.

It has been suggested that the pathogenesis in ischemic stroke may be heterogeneous, differing between patients with LVD stroke, SVD stroke or CE stroke. Therefore, the studies of genetic factors for ischemic stroke should subdivide according to the different clinical or etiological subtypes to avoid false positive or negative results [38, 39]. TOAST criteria were used to determine stroke etiology, because they are thought to be the best available clinical criteria to separate different stroke etiologies, although they present an imperfect relationship to the underlying inherited disease mechanism.

The cDNA sequence of Ngb is highly conservative. No mutations or polymorphisms within cDNA sequence were found in subjects analyzed. However, two polymorphisms 89+104c>t and 322-110(6a)>5a were detected in exon flanking sequence (95–303 bp). Other polymorphisms like rs28988618, rs101400032, rs7149300 and rs10133981 were not identified in the present study.

According to the SNP on NCBI Reference Assembly, the t carrier frequency of 89+104c>t was 50%, 21.4%, 66.7% in European, African and Asian populations respectively [40]. All the above data came from small sample ranged from 14 to 46 subjects. The t carrier frequency of the control group in the present study was 58.5%. The 6a allele frequency of 322-110 (6a)>5a was lower in the control gruop of our study (52.5% vs 75%, 87.5% and 63% in European, African and Asian populations) [41].

The significant differences in 89+104c>t genotype distribution and allele frequency were found between LVD patients or SVD patients and controls, which indicated this polymorphism might be correlated with LVD and SVD. T allele frequencies of LVD patients (36.4%) and SVD patients (40.3%) were significantly lower than that of the controls (58.5%). Conditional logistic regression analysis showed that the presence of at least one t allele in 89+104c>t were probably potential independent protective factor, while hypertension was independent risk factors for both LVD and SVD stroke. DM2, TG and LDL-C were independent risk factors for LVD stroke but not for SVD stroke, while HDL-C was protective factor for LVD stroke.

As we all known, confounding bias should conceal or exaggerate the association between exposure factor and the disease, thus resulted in the false negative or false positive. Age-bias and gender-bias are important considerations in case-control study for cerebrovascular disease. Data was analyzed by cluster stratification analysis to exclude the interference of these confusion factors in this study. T allele of 89+104c>t might be one of the independent protect factors for LVD in females and people over 60 years. The risk of LVD was further decreased in female t allele carriers but not in males. Age stratified analysis suggested that t allele could reduce the LVD risk on people over 60 years, but its protective effect on people under 60 years was not significant. We also confirmed that t allele might be a new protective factor for female SVD. Since t allele was much more frequent in females than in males, and t allele was significant protective especially for females, we presumed that there should be some correlations between Ngb protective effect and female hormones, which remains to be confirmed by further studies.

The genotype distributions and allele frequencies of Ngb 322-110 (6a)>(5a) were similar between cases and controls, which suggesting this site had no obvious correlation with LVD or SVD. However, the haplotype 89+104c/322-110(5a) showed a higher distribution frequency in cases than in controls (OR = 1.838 for LVD, 1.997 for SVD separately), indicating significant association with LVD and SVD. Gradual increase of statistical power with the inclusion of two polymorphisms supports the validity of our conclusion that the Ngb is a susceptibility locus for ischemic stroke.

Our data also showed that Ngb 89+104 t allele carriers have a lower LDL-C level (P = 0.003), less frequent hypercholesterolemia (P = 0.008) and hypertension (P < 0.0001) compared with c/c homozygotes. It is possible that Ngb plays its role against ischemic injury related to blood lipid metabolism or blood pressure regulation, which probably find new way to investigation of Ngb protective mechanism. When the sex was analyzed separately, we found that the carrier of t allele have low LDL-C (P = 0.002), slightly high HDL-C level (P = 0.012) and low frequent hypercholesterolemia (P = 0.003) and hypertension (P < 0.0001) in male subgroup. We concluded that the 89+104c>t polymorphism show significant association with plasma lipids level (LDL-C and HDL-C), hypercholesterolemia and hypertension especially in Chinese male.

As we all known, exonic polymorphisms have a potential to change amino acid coding sequence. The current model of pre-mRNA splicing is based on the recognition of four canonical intronic motifs (5' splice site, branchpoint sequence, polypyrimidine (PY) tract and 3' splice site), however, it has become clear that the four canonical splice elements do not contain adequate sequence information to ensure accurate splicing. A few families of motifs that are over-represented upstream of weak PY tracts were identified and suggested as intronic splicing enhancers (ISEs) that appear to compensate for a weakened canonical pre-mRNA splicing motif in both short and long human introns [4244]. Some intronic SNP, for example, the intronic prothrombin 19911A>G is itself functional and changes splicing efficiency by altering a known functional pentamer motif CAGGG [45]. The intronic 89+104 c>t SNP could probably be assumed to influence the splicing efficiency of Ngb by toggling between CCGGG and CTGGG, which is one of the above motifs. Ngb's structure shows a peculiar internal cavity of very large size. Binding of heme ligands is associated to a conformational change involving the heme that "slides" into the pre-existing cavity and makes the sixth coordination position available [46]. So the spatial conformation of Ngb is especial important. We presumed that whether this intronic SNP influenced nucleotide splicing and formed different spliceosomes which might change the classical α helical and three-over-three sandwich structure of Ngb, and then resulted in the interference of protein folding, instead of changing the amino acid coding sequence. Of course, additional experimental evidence will need to be obtained to verify the functional significance of the SNP identified by our study.

Some potential biases may still have influenced our final results. Prevalence of risk factors and stroke subtypes differ between hospitalized and community patients with ischemic stroke. This case-control study was mainly hospital-based, with comprehensive and accurate data, but there would be inevitable selection bias compared with community-based study. The lack of integrity data for carotid ultrasound examination in controls may be another weakness of this study, thus we have to reject carotid internal media thickness data in our study.

Conclusion

In conclusion, t allele of 89+104c>t (rs4903565) might have a protective effect against LVD and SVD in the Southern Chinese Han population, especially for female or people over 60 years. Ngb 322-110(6a)>5a polymorphism showed association with neither LVD nor SVD subtype. However, there was a "hitchhiking" effect for ischemic stroke was observed for the 89+104 t/322-110 (6a) genotype combination especially for LVD. To our knowledge, this is the first study on correlation between Ngb polymorphisms and ischemic stroke has been investigated. These results need to be further confirmed by some multicenter case-control study or prospective study in different ethnic populations.

Notes

Abbreviations

Ngb

Neuroglobin

Mb

myoglobin

Hb

hemoglobin

LVD: 

stroke caused by large-artery atherosclerosis

SVD: 

stroke caused by small-vessel occlusion

BMI: 

body mass index

DM2: 

diabetes mellitus type 2

LDL-C: 

low density lipoprotein cholesterol

HDL-C: 

high density lipoprotein cholesterol

TC: 

total cholesterol

TG: 

triglycerides

FIB: 

fibrinogen

PCR: 

polymerase chain reaction

RFLP: 

Restriction fragment length polymorphism

PY: 

polypyrimidine

ISEs: 

intronic splicing enhancers.

Declarations

Acknowledgements

We sincerely thank the participants for their help and willingness to participate in this study. This project was supported by grant FMU-RT002 of program for Innovative Research Team in Science and Technology in Fujian Province University and grant 2005YZ1007 from Fujian Provincial Science and Technology Foundation, Fuzhou, and grant from Huashan Hospital for special professorship of Fudan University, Shanghai, China.

Authors’ Affiliations

(1)
Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University
(2)
Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University
(3)
Center of Neuroscience, Fujian Medical University
(4)
Institutes of Brain Science and State Key Laboratory of Medical Neurobiology, Shanghai Medical College, Fudan University

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© Lin et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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