α-Adducin Gly460Trp gene mutation and essential hypertension in a Chinese population: a meta-analysis including 10,960 subjects.

BACKGROUND: The α-adducin Gly460Trp (G460W) gene polymorphism may be associated with susceptibility to essential hypertension (EH), but this relationship remains controversial. In an attempt to resolve this issue, we conducted a meta-analysis.
METHODS: Twenty-three separated studies involving 5939 EH patients and 5021 controls were retrieved and analyzed. Four ethnicities were included: Han, Kazakh, Mongolian, and She. Eighteen studies with 5087 EH patients and 4183 controls were included in the Han subgroup. Three studies with 636 EH patients and 462 controls were included in the Kazakh subgroup. The Mongolian subgroup was represented by only one study with 100 EH patients and 50 controls; similarly, only one study with 116 EH patients and 326 controls was available for the She subgroup. The pooled and ethnic group odds ratios (ORs) along with the corresponding 95% confidence intervals (95% CI) were assessed using a random effects model.
RESULTS: There was a significant association between the α-adducin G460W gene polymorphism and EH in the pooled Chinese population under both an allelic genetic model (OR: 1.12, 95% CI: 1.04-1.20, P = 0.002) and a recessive genetic model (OR: 1.40, 95% CI: 1.16-1.70, P = 0.0005). In contrast, no significant association between the α-adducin G460W gene polymorphism and EH was observed in the dominant genetic model (OR: 0.88, 95% CI: 0.72-1.09, P = 0.24). In stratified analysis by ethnicity, significantly increased risk was detected in the Han subgroup under an allelic genetic model (OR: 1.13, 95% CI: 1.04-1.23, P = 0.003) and a recessive genetic model (OR: 1.43, 95% CI: 1.17-1.75, P = 0.0006).
CONCLUSIONS: In a Chinese population of mixed ethnicity, the α-adducin G460W gene polymorphism was linked to EH susceptibility, most strongly in Han Chinese.

Introduction

Essential hypertension (EH) is one of the primary causes of cardiovascular diseases. It is a polygenic hereditary disease with a complex pathogenesis that is strongly influenced by environmental and lifestyle factors. Previous studies have indicated that abnormal renal membrane ion transport might play a key role in the onset of EH [1]. There is now a general consensus that the increase in circulating blood volume due to increased renal sodium reabsorption is a major pathogenic factor leading to EH. Adducin is a cytoskeleton protein composed of two subunits (one α-subunit and either a β- or γ-subunit). Adducin has been implicated in the construction and maintenance of the cytolemma framework. In addition, adducin regulates cellular signal transduction and cytolemma ion transport by modulating the surface expression of multiple transporters and pumps, including the Na+-H+ exchanger, Na+-K+-Cl− cotransporter, and the sodium pump [2]. Regulation of renal Na+ transport by the adducin protein suggests that allelic variants of adducin may contribute to EH.

The human α-adducin gene, located on 4p16.3, is composed of 16 exons. In 1997, Cusi et al first reported a missense point mutation substituting thymine (T) for guanine (G) at position 614 of the 10th exon, resulting in an expressed adducin α subunit with Trp (W) in place of the wild type Gly (G) at amino acid 460. In 2004, Beeks et al found that this α-adducin 460W mutant markedly influenced renal haemodynamics and function. The evident drop in effective renal blood flow and glomerular filtration rate (GFR) in the WW genotype led to excess water and sodium retention, even when patients maintained a low salt diet [3]. It was suggested that the (G→W) alteration of α-subunit might affect protein assembly or stability, leading to changes in submembrane cytoskeleton structure, increased sodium reabsorption by the proximal renal tubules, and reduced GFR. Enhanced water and sodium retention could increase circulating blood flow volume and cause high BP. It remains to be established, however, if the α-adducin G460W gene polymorphism does indeed increase susceptibility to a salt-sensitive form of hypertension [4].

In China, hypertensive patients have three features: salt-sensitivity, great BP fluctuation, and high stroke morbidity. Approximately 60% of Chinese hypertensives are salt-sensitive (meaning BP would be elevated by a high salt diet). Recent studies have linked α-adducin to salt-sensitive hypertension but have not investigated the specific polymorphisms. Confirmation of the α-adducin G460W gene polymorphism as a mediator of salt-sensitive hypertension would define a high value target for hypertension therapy.

These association results are still controversial. An association between α-adducin G460W and EH has been demonstrated in Scandinavians and Japanese cohort [5]–[6], but no association was found in African-Americans, Australians of Britain ancestry, or Indians [7]–[9]. Liu et al (2010) performed a meta-analysis and failed to detect a genetic association between the α-adducin gene G460W polymorphism and hypertension in Caucasians, East Asians, South Africans, and African-Americans [10]. Furthermore, results from various population samples in China were also inconsistent. In 2011, Niu et al reported a null association between the α-adducin G460W gene polymorphism and hypertension in Chinese population in another meta-analysis [11]. In contrast, a meta-analysis of 20 stuides by Liu et al in 2011 suggested that the G460W polymorphism might increase the risk of hypertension in Chinese populations, especially in Han Chinese [12]. However, there were still some limitations in their work. For instance, the subgroup analysis by salt intake area was not performed. The literatures have not been retrieved completely. Two studies deviating from the Hardy-Weinberg equilibrium (HWE) were still included in that mata-analysis which inevitably influenced the results [13]–[14].

In consideration of these conflicting results and the above limitations, it is unclear yet whether there is a significant association between the α-adducin G460W gene polymorphism and EH in Chinese population. The current meta-analysis encompassing 23 studies with 5939 EH patients and 5021 controls was important to be performed to derive a more precise estimate of the association between α-adducin G460W gene polymorphism and EH in individual ethnicities within China. Compared with Liu's work, there were some similarities. For example, two statistical models as recessive and dominant genetic models were adopted in both meta-analysises. There were 18 individual studies overlapped between them. Because of the limitations in Liu's work, subgroup analysis stratified by salt intake was additionally conducted in the Chinese Han population. Moreover, the retrieved individual studies were more comprehensive and exact than those in Liu's work. So the present meta-analysis has potential to add to the current knowledge.

Materials and Methods

Publication search and inclusion criteria

The electronic databases PubMed, Embase, Web of Science, China Biological Medicine Database (CBMD), and China National Knowledge Infrastructure (CNKI) were searched for studies using the MeSH terms ‘hypertension’, ‘α-adducin’, ‘polymorphism’, ‘hypertension’, ‘gene’, and Chinese'. The compiled data set was last updated on May 4, 2011, and included published papers from 1999 to 2011.

The reports included had to meet the following criteria: (a) evaluation of the α-adducin G460W gene polymorphism and EH in a Chinese population, and (b) diagnosis of EH in agreement with the EH diagnosis criteria of the World Health Organization (WHO, 1999) where systolic blood pressure (BP)≥140 mmHg, diastolic BP≥90 mmHg, or treatment with antihypertensive medication defines EH.

Data extraction

No paper was included if it did not meet the two aforementioned inclusion criteria. When the same study results appeared in several papers, only one study was used in this meta-analysis. The extracted data included the first author's name, publication date, region of study, ethnicity of the sample population, number of genotypes, and the total number of cases and controls (Supplement S1). Different ethnicities in China were categorized as Han, Kazakh, Mongolian, or She. The study regions included the three directly governed city regions Beijing, Shanghai, and Tianjin, the seven provinces Jiangsu, Fujian, Heilongjiang, Henan, Hebei, Shanxi, and Zhejiang, and the two autonomous regions Xinjiang, Neimenggu. These data were independently gathered using a standard retrieval protocol.

Statistical analysis

Three statistical models as allelic genetic models (distribution of Trp allelic frequency of α-adducin gene), recessive genetic models (TrpTrp vs.GlyGly+GlyTrp) and dominant genetic models (GlyGly vs. GlyTrp+ TrpTrp) were used in the current meta-analysis.The odds ratio (OR) and corresponding 95% confidence interval (CI) was used to examine the association between the α-adducin G460W gene polymorphism and EH. The heterogeneity assumption was checked by the Chi-square-based Q-test and significance was set at P<0.05 [15]. The variation caused by the heterogeneity was also evaluated by calculating the inconsistency index I where a higher value of I indicates heterogeneity. A random-effects model was used for all analyses (the DerSimonian and Laird method) [16]–[17]. HWE was assessed by Fisher's exact test and P<0.05 indicated a significant deviation for HWE. Funnel plots were used to estimate the potential publication bias. The funnel plot asymmetry on the natural logarithm scale of the OR was assessed by Egger's linear regression test and significance was also set at P<0.05 [18]. Subgroup analysis stratified by salt intake was performed to observe the effect of dietary salt on the association of α-adducin G460W gene polymorphism and EH. Meta-regression was performed to explore the sources of heterogeneity. Significance was set at P<0.05. The statistical analysis was performed using STATA 10.0 software (StataCorp, College Station, TX).

Results

Studies and populations

Forty papers were retrieved by literature search, of which 23 conformed to the study inclusion criteria. Of the 17 excluded studies, 2 papers were published repeatedly, 5 papers were reviews, 2 deviated from HWE, and the remaining 8 did not focus on the G460W gene polymorphism (Figure 1). The total data of the 23 studies comprised 5939 EH patients and 5021 controls from 12 districts and 4 ethnicities, Han, Kazakh, Mongolian and She (Supplement S1) [19]–[41]. Eighteen studies with 5087 EH patients and 4183 controls were included in the Han subgroup. Three studies with 636 EH patients and 462 controls were included in the Kazakh subgroup. Only one study each focused on Mongolian and She populations, with 100 EH patients and 50 controls in the Mongolian subgroup and 116 EH patients and 326 controls in the She subgroup.

Figure 1

Flow diagram of articles selection process for α-adducin G460W gene polymorphism and EH risk meta-analysis.

Pooled analyses

In the total Chinese population, there was a significant association between the α-adducin G460W gene polymorphism and EH under an allelic genetic model (OR: 1.12, 95% CI: 1.04–1.20, P = 0.002) and a recessive genetic model (OR: 1.40, 95% CI: 1.16–1.70, P = 0.0005). No significant association between the α-adducin Gly460Trp gene polymorphism and EH was observed in the dominant genetic model (OR: 0.88, 95% CI: 0.72–1.09, P = 0.24). In the stratified analysis, significantly increased risk was detected in the Han subgroup under an allelic genetic model (OR: 1.13, 95% CI: 1.04–1.23, P = 0.003) and a recessive genetic model (OR: 1.43, 95% CI: 1.17–1.75, P = 0.0006). (Supplement S2, Figures 2, 3 and 4)

Figure 2

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under an allelic genetic model (distribution of Trp allelic frequency of α-adducin gene) stratified by ethnicity.

Figure 3

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under a recessive genetic model (TrpTrp vs.GlyGly+GlyTrp) stratified by ethnicity.

Figure 4

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under a dominant genetic model (GlyGly vs. GlyTrp+ TrpTrp) stratified by ethnicity.

The association between α-adducin G460W gene polymorphism and EH risk was significant in the Mongolian Chinese population under either the allelic genetic model (OR: 1.72, 95% CI: 1.06–2.80, P = 0.03) or recessive genetic model (OR: 7.32, 95% CI: 2.82–18.97, P<0.0001). There was no association evident in the Kazakh subgroup under an allelic genetic model (OR: 1.02, 95% CI: 0.86–1.21, P = 0.81) or a recessive genetic model (OR: 1.08, 95% CI: 0.80–1.47, P = 0.61). No significant association was found in the She subgroup under an allelic genetic model (OR: 0.99, 95% CI: 0.73–1.34, P = 0.95) or a recessive genetic model (OR: 0.90, 95% CI: 0.53–1.53, P = 0.71) (Supplement S2, Figures 2 and 3).

Under a dominant genetic model, no significant increased risk was found in the Han subgroup (OR: 0.86, 95% CI: 0.67–1.10, P = 0.24), Kazakh subgroup (OR: 1.04, 95% CI: 0.71–1.52, P = 0.86), Mongolian subgroup (OR: 0.72, 95% CI: 0.31–1.69, P = 0.45) or She subgroup (OR: 0.94, 95% CI: 0.55–1.61, P = 0.82) (Supplement S2, Figure 4)

The relationship between the α-adducin G460W gene polymorphism and EH might be strongly affected by salt intake. Mean salt intake level was quite different between local areas and ethnic groups in China. Accordingly, subgroup analysis was stratified into a high salt intake area and low salt intake area according to provincial statistics for the Han subgroup. Southern China was referred to as the low salt intake area and northern China was considered the high salt intake area [42]. The two areas were divided by the Yangtze River. In the high salt intake area, there was a significant association under an allelic genetic model (OR: 1.19, 95% CI: 1.08–1.32, P = 0.0005) , a recessive genetic model (OR: 1.60, 95% CI: 1.18–2.17, P = 0.003) and a dominant genetic model (OR: 0.81, 95% CI: 0.66–0.99, P = 0.04). By contrast, no significant association between α-adducin G460W gene polymorphism and EH was found in the low salt intake area under an allelic genetic model (OR: 1.07, 95% CI: 0.95–1.22, P = 0.27), a recessive genetic model (OR: 1.25, 95% CI: 0.95–1.62, P = 0.08) or a dominant genetic model (OR: 0.94, 95% CI: 0.59–1.52, P = 0.81). (Supplement S2, Figures 5, 6 and 7)

Figure 5

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under an allelic genetic model (distribution of Trp allelic frequency of α-adducin gene) stratified by salt intake area in Chinese Han population.

Figure 6

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under a recessive genetic model (TrpTrp vs. GlyGly+GlyTrp) stratified by salt intake area in Chinese Han population.

Figure 7

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under a dominant genetic model (GlyGly vs. GlyTrp+ TrpTrp) stratified by salt intake area in Chinese Han population.

Meta-regression was conducted to explore the potential sources of heterogeneity in the Han subgroup populations under an allelic genetic model of inheritance by using STATA 10.0 software. The study region, EH group sample size, control group sample size, total sample size, ratio of EH group sample size to control group sample size (RR), genotyping method were considered as the potential confounding factors. Among these factors, RR, genotyping method, total sample size and control group sample size might be possible explanations for the heterogeneity (P = 0.014, 0.032, 0.042, 0.046) (P<0.05), while EH group sample size was not associated (P>0.05) (Supplement S3 and S4).

In the subgroup analysis stratified by RR under an allelic and a recessive model, subgroup 1 comprised studies with RR>1.20, while subgroup 2 included studies with 1.0G460W gene polymorphism and EH under an allelic genetic model (OR: 1.06, 95% CI: 0.92–1.23, P heterogeneity = 0.08, I = 48.7%, P = 0.41) or under a recessive genetic model (OR: 1.16, 95% CI: 0.86–1.57, P heterogeneity = 0.02, I = 63.3%, P = 0.33). Similarly in subgroup 2, there was no significant association between α-adducin G460W gene polymorphism and EH under an allelic genetic model (OR: 1.11, 95% CI: 0.96–1.30, P heterogeneity = 0.15, I = 37.7%, P = 0.17) or under a recessive genetic model (OR: 1.53, 95% CI: 0.97–2.43, P heterogeneity = 0.0002, I = 79.5%, P = 0.07). However, in subgroup 3, a significant association was observed between α-adducin G460W gene polymorphism and EH under an allelic genetic model (OR: 1.23, 95% CI: 1.06–1.42, P heterogeneity = 0.07, I = 50.4%, P = 0.007) and under a recessive genetic model (OR: 1.61, 95% CI: 1.17–2.22, P heterogeneity = 0.008, I = 67.9%, P = 0.004). (Supplement S2, Figures 8, 9).

Figure 8

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under an allelic genetic model (distribution of Trp allelic frequency of α-adducin gene) stratified by RR in Chinese Han population.

RR: the ratio of case size to control size.

Figure 9

Forest plot of essential hypertension associated with α-adducin Gly460Trp gene polymorphism under a recessive genetic model (TrpTrp vs.GlyGly+GlyTrp) stratified by RR in Chinese Han population.

RR: the ratio of case size to control size.

Bias diagnostics

The funnel plot and Egger's test were used to assess the publication bias of the literature for the allelic genetic model. No evidence of publication bias was revealed by the funnel plot (Figure 10). No significant difference was found in the Egger's test (T = 0.65, P = 0.523), which suggested that publication bias did not exist in the current meta-analysis.

Figure 10

Funnel plot for studies of the association of essential hypertension and α-adducin Gly460Trp gene polymorphism under an allelic genetic model (distribution of Trp allelic frequency of α-adducin gene).

The horizontal and vertical axis correspond to the OR and confidence limits. OR: odds ratio; SE: standard error.

Discussion

In the current meta-analysis of 5,939 EH and 5,021 control Chinese subjects, the α-adducin G460W gene polymorphism was significantly associated with EH susceptibility under both the allelic (OR: 1.12) and recessive genetic model (OR: 1.40), while no association was found using a dominant genetic model (OR: 0.88). However, in the subgroup analysis by salt intake area, a significant association was found under the allelic (OR: 1.19), recessive genetic model (OR: 1.60) and dominant genetic model (OR: 0.81) in the high salt intake area subgroup of Chinese Han population.

In China, EH increases gradually after 30 years of age and is as high as 18.8% in the total Chinese population. Among the EH patients, about 60% are classified as salt-sensitive. Salt-sensitive hypertension is controlled by genetics, but exacerbated by dietary habits. The ratio of salt-sensitive hypertensive to normotensives ranges from 15% to 42%, while the ratio of salt-sensitive hypertensives to all hypertensives ranges from 28% to 74% in different regions of China. Indeed, it is 28.57% in southern China and 58% in northern China [31], [43]. Moreover, the salt-sensitivity increases with the age, especially in hypertensive patients [44].

Allelic variance of the α-adducin gene could influence Na, K-ATPase activity, thereby regulating water and sodium metabolism and affecting BP [45]–[46]. In 2009, Stenström reported that blocking the salt-inducible kinase 1 network prevented the increase in cell sodium transport caused by G460W, a hypertension-linked mutation in human α-adducin [47]. Hence, α-adducin is clearly a critical target for hypertension treatment in China. Not unexpectedly, the question of whether there is an association between the α-adducin G460W gene polymorphism and EH in Chinese adults has received a great deal of attention.

Differences in life styles might influence the role of the gene. For instance, the genetic effects were clearly different between the different salt intake areas [46]. The α-adducin protein plays a key role in the regulation of the water and salt metabolism. There was a significant difference in the salt intake level between the southern and northern Han Chinese population [42]. In the subsequent subgroup analysis by salt intake level, a significant association was found between the α-adducin G460W gene polymorphism and EH in the high salt intake area under the three genetic models, while no significant association was detected in the low salt intake area under the three genetic models. This result suggested that salt intake level actually had an effect on the relationship between the α-adducin G460W gene polymorphism and EH. Additionally, the higher OR in Mongolians might also reflect specific life-style factors like high salt intake (OR: 1.72 vs. 1.13, allelic genetic model; OR: 7.32 vs.1.43, recessive genetic model; OR: 0.72 vs. 0.86, dominant genetic model) [47].

In the meta-regression, the candidate confounding factors RR and genotyping methods were considered possible sources of heterogeneity. Indeed, the RR could partly explain the heterogeneity, indicating that the non-uniformity in the RR contributed to the between-study heterogeneity. The effect of genetics was greater in studies with RR≤1.0 than in other studies with RR>1.0, which suggested that the EH size and control size should be better balanced. After adjusting for RR, unexplained heterogeneity still existed. The association of the α-adducin G460W gene polymorphism and EH was distinctly weakened but still just significant in subsection 3 with RR≤1.0. Therefore, further studies should match the sizes of the cases and control populations.

The present meta-analysis results were generally consistent with the previous study by Liu [11], but there were several differences. The stratified subgroup analysis by salt intake level was only performed in the current study. Second, the She subgroup was not included in their work [41] and four studies of the Han population were excluded [19], [22], [34], [36]. Two studies by Jing et al. and Huang et al. that deviated from HWE were not excluded from Liu's research and excluded in the current meta-analysis [13]–[14]. Moreover, the heterogeneity source detection and corresponding subgroup analysis were not performed. Hence, the conclusions reached in the current meta-analysis provided stronger evidence for a relationship between α-adducin Gly460Trp gene polymorphism and EH in China.

In summary, the current meta-analysis suggested that the Gly460Trp allele of the α-adducin gene contributed to the susceptibility of EH in Chinese populations, especially in Han and Mongolia Chinese. Given that only one study has examined this relationship in Mongolian and She populations, additional studies should be launched to verify and extend these findings.

Characteristics of the investigated studies of the association between the G460W polymorphism and essential hypertension in the Chinese population.

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Summary of meta-analysis of association of Gly460Trp gene polymorphism and EH risk in the Chinese population.

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The confounding factors for the potential sources of heterogeneity studied by meta-regression in Chinese Han population under an allelic genetic model.

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The meta-regression results among 18 studies in Chinese Han population under an allelic genetic model.

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