Study of angiotensin converting enzyme and genotype among Egyptian preeclampsia patients ()
Keywords:ACE: Angiotensin Converting Enzyme; Preeclampsia; Polymorphism; Doppler
1. INTRODUCTION
Preeclampsia is a frequent disorder with reported incidence in pregnancies. However, geographic, social, economic and racial differences are thought to be responsible for higher incidence rate in some populations [1,]">2].
In Egypt, the disease complicates 6% - 8% of all pregnancies and can reach up to 15% [3]. While maternal mortality due to preeclampsia is 10.01% - 20%, preeclampsia/eclampsia probably accounts for more than 50,000 maternal deaths worldwide each year [2,]">4].
Angiotensin I converting enzyme (ACE) is a monomeric, membrane-bound, zinc and chloride dependent peptidyl dipeptidase that catalyzes the conversion of the decapeptide angiotensin I to the octapeptide angiotensin II, by removing a carboxyterminal dipeptide. ACE has long been known to be a key part of the renin angiotensin system that regulates blood pressure [5].
There are two forms of the enzyme in humans, the somatic ACE and the sperm-specific germinal ACE, both encoded by the same gene through transcription from alternative promoters.
The rennin angiotensin system may be activated during the early stages of Preeclampsia and subsequently suppressed. In some populations, a relatively common polymorphism is present in raised frequency in women with PE, but it is also raised in non pregnant hypertensive subjects. Furthermore, its expression is significantly raised in the decidual spiral arteries; abnormal placentation is a feature of PE [6].
Angiotensin II levels are modulated by ACE, whose plasma levels have been associated with the insertion/ deletion (I/D) polymorphism in intron 16 of the ACE gene. The ACE I/D polymorphism accounted for 47% of total phenotypic variance of serum ACE, contributing to the variability of ACE level. Serum ACE is widely recognized as a marker of disease activity.
A marked difference in serum ACE levels was observed between subjects in each of the 3 genotype classes; DD genotype is associated with higher serum ACE levels, whereas the II genotype is associated with lower levels; the ID genotype is associated with intermediate levels [6]. Moreover, it has been assumed that the I allele has a sequence similar to a silencer sequence, which might explain why the D allele is associated with higher ACE levels than the I allele. Several studies have reported that women carrying the D allele of the ACE I/D polymorphism have higher measures of uterine artery resistance, which is a marker for development of intrauterine growth retardation and preeclampsia [7,]">8].
These observations led to the proposal that the ACEI/D polymorphism may be a good candidate to be correlated with the serum level of ACE in the search for a cause of preeclampsia. A common insertion/deletion polymorphism within the angiotensin-I converting enzyme gene (ACE-I/D) has been reliably associated with substantial differences in the plasma and tissue angiotensin converting enzyme (ACE) activity in a codominant (additive) fashion with an influence that varies in populations of different ethnic origins [9,]">10].
Individuals carrying the D allele have higher ACE activity, which has been proposed as an intermediate phenotype of potential relevance for the development of high blood pressure and subclinical atheroma (i.e., higher intima-media thickness of the carotid artery) [11]. Despite the biological plausibility and the consistency of the effect of the ACE I/D polymorphism on ACE activity, associations of the ACE I/D polymorphism and coronary heart disease, coronary artery restenosis, stroke, and renal disease have been inconsistent [12].
It is evident that Angiotensin I and II are substrates for ACE2 whose plasma levels have been associated with the insertion/deletion (I/D) polymorphism in intron 16 of the ACE gene and are present in raised frequency in women with PE, and moreover, Angiotensinogen gene expression is significantly raised in the decidual spiral arteries and therefore abnormal placentation is a feature of PE.
2. AIM OF THE WORK
The aim of this study was to evaluate the association of angiotensin converting enzyme gene polymorphism and changes in its enzyme serum level in preeclamptic patients compared to non preeclamptic control group together with studying the association of preeclampsia and the changes in umbilical artery and uterine artery Doppler.
3. SUBJECTS AND METHODS
The study was conducted on 180 pregnant women recruited from the Maternity Hospital Alexandria Faculty of Medicine; all individuals were allocated into two groups:
Preeclampsia group consisted of 90 cases and Controls group which include 90 normotensive pregnant women.
All subjects signed an informed written consent before enrollment in the study and the approval of Medical Ethics Committee of Alexandria Faculty of Medicine was obtained.
3.1. Inclusion Criteria
1) Proteinuria defined by 2 clean catch midstream or catheter specimen of urine collected at 4 hours or more apart 2+ or more on dipstick or 1 gm/L or more albumin in 24 hrs collected urine sample.
2) Blood pressure measuring more than 140/90 mmHg.
3) Positive past history or family history of pre-eclampsia.
4) Maternal weight more than 85 kg.
5) Gestational age more than or equal to 24 weeks.
3.2. Exclusion Criteria Included
1) Rh negative cases.
2) Medical diseases that may lead to hypertension e.g. essential hypertension, renovascular hypertension, chronic renal disease, primary hyperaldosteronism, and pheochromocytoma.
3.3. Control Group
They are normotensive pregnant women without hypertension or proteinurea and having the same selection and exclusion criteria as those of cases with matched age.
3.4. All Patients Were Subjected to the Following
1) Full history taking: Age, gravidity, parity, date of the last menstrual period to estimate the gestational age and family history of preeclampsia.
2) Medical history: to exclude medical diseases e.g. essential hypertension, renovascular hypertension, chronic renal disease, primary hyperaldosteronism, pheochromocytoma, coarcotation of aorta.
3) General examination: which include Vital signs, Body weight?
4) Obstetric examination: Fundal height, lie, presentation.
5) Abdominal ultrasound examination:
a) Diagnostic ultrasonography to determine:
i) Gestational age.
ii) Number of fetuses.
iii) Amniotic fluid index (by the four quadrant technique). Assessment of the amniotic fluid volume was done using the amniotic fluid index (AFI): Using the maternal umbilicus as a reference point, the abdomen is divided into our quadrants. With the ultra-sound probe held in the longitudinal axis of the mother and perpendicular to the floor, the largest vertical pool depth in each quadrant is recorded. The sum of these measurements represents the amniotic fluid index. Although the (AFI) is known to vary with gestational age, an AFI < 5 cm is classified as oligohydraminos and an AFI > 25 cm is classified as polyhydraminos [13].
iv) Presence of IUGR by measuring biparietal diameter (BPD), femur length (FL), head circumference/abdominal circumference ratio (HC/AC), and defined as fetal weight less than the 10th centile for gestation [14,15].
b) Doppler studies:
i) Umbilical and uterine arteries indices:
All these values were automatically calculated by the built-in soft-ware programs in the machine.
ii) Systolic/ diastolic ratio (S/D):
It is the simplist and is expressed by S/D, where S is the peak systolic frequency and the D is the end diastolic frequency.
iii) Resistance index (RI):
Known as Pourcelot’s ratio examines the difference between the peak systolic and the end diastolic velocity and is expressed by:
where S is the peak systolic velocity and D is the minimum or end diastolic velocity.
iv) Pulsatility index (PI):
Known as the mean pulsatility index to distinguish it from the peak to peak pulsatility index, it is expressed by:
where S is the peak systolic velocity and D is the end diastolic velocity and the velocitym is the time averaged maximum velocity over the cardiac cycle, it’s calculated from the average of three or four cardiac cycles [14].
v) Vaginal measurement of uterine artery Doppler indices The uterine arteries were examined at the level of the internal os where the artery approaches the uterus laterally. The internal os was viewed first in the sagittal plane. The probe was then turned to the transverse position and angled upwards to the long axis of the uterus. The vascular bundles were then visible and pulsations could be seen in real time, helping to identify the uterine arteries. The characteristic blood-flow velocity waveforms were obtained by placing the Doppler gate over the identified vessel.
6) Laboratory investigations:
a) Estimation of serum ACE:
This assay uses the quantitative sandwich enzyme immunoassay technique with a kit derived from R & D (USA) using a specific monoclonal antibody specific for ACE.
b) Determination of ACE genotypes:
i) The D and I alleles were identified by the use of polymerase-chain-reaction (PCR) amplification of the respective fragments from intron 16 of the ACE gene and size fractionation and visualization was done by agarose gel electrophoresis.
ii) Fresh blood was collected on EDTA tubes; genomic DNA was extracted using GFX extraction purification kit from Amersham, USA.
iii) The amplification (PCR) was done using Perkin Elmer Techne thermal cycler machine in a final volume of 50 µl PCR reaction mixture which contains 5 µl 10 × PCR Buffer, 3 µl of 25 mM MgCl2 × 2 U of Taq polymerase in a final concentration of 1.5 nm.
iv) Optimized primer pair to amplify the D and I alleles, resulting in 319-bp and 597-bp amplicons, respectively. The forward primer was hace3 (5’GCC CTG CAG GTG TCT GCA GCA TGT3’’) and the reverse primer (5’GGA TGG CTC TCC CCG CCT TGT CTC3’’). The master mix contained 4 µl, dNTP mix, 30.6 µl Nuclease free water, 0.4 µl Taq polymerase and 5 µl genomic DNA equivalent to 100 ng/µl.
v) Reaction tubes were inserted and the following protocol was set:
Pre PCR 94˚C for 5 min for denaturation of genomic DNA, denaturation at 94˚C for 30 seconds, annealing at 56˚C for 45 seconds, and extension at 72˚C for 2 minutes, repeated for 35 cycles, followed by a final extension at 72˚C for 7 minutes. The amplification product was analyzed on 3% agarose gel and visualized by staining with ethidium bromide revealing bands of 319 bp for the D alleles and 597 bp amplicons for the I alleles; in heterozygous samples a third band, assumed to represent a heteroduplex (heterozygous) DNA product, was commonly seen. Because the D allele in heterozygous samples is preferentially amplified each sample found to have the DD genotype was subjected to a second, independent nested PCR amplification with a primer pair that recognizes an insertion-specific sequence (hace5a5’TGG GAC CAC AGC GCC CGC CAC TAC3’; hace5c, 5’TCG CCA GCC CTC CCA TGC CCA TAA3’), with identical PCR conditions except for an annealing temperature of 67˚C. The reaction yields a 335-bp amplicon only in the presence of an I allele and no product in samples homozygous for DD. This procedure correctly identified the 4 to 5 percent of samples with the DI genotype that are misclassified as DD with the insertion-spanning primers as shown in Figure 1.
4. STATISTICAL METHODOLOGY
After data entry into a specially designed sheet using Microsoft Excel, a print out of the data was thoroughly revised and entry mistakes were corrected. Data were then transferred to SPSS ver. 17 format and the following statistics were performed:
1) Exploratory data analysis (EDA): to examine the distribution of variable whether they are normally distributed or not, and to test for outliers or extremes values.
2) Descriptive statistics: for quantitative data, minimum, maximum, mean and standard deviation were calculated, for qualitative data the median and range were calculated.
3) Comparative statistics were carried out between the
Figure 1. Typical PCR amplification electrophoretograms showing different ACE genotyoes.
two groups in all variables studied using student independent t-test and One Way Analysis of Variance (ANOVA) test for quantitative normally distributed variables, for post-hoc test, Tukey HSD method was adopted when equal variance of the subgroups was assumed. Non-parametric statistics (Mann Whitney, Kruskal-Wallis test) were used for comparison of ranks, small scales or non-normally distributed variables.
4) Chi-square was used to test for association between the two studied groups and also between the patients’ subgroups.
5) The frequencies of the alleles and genotypes among the cases and controls were counted and were compared by the Chi-square with the values predicted by the assumption of Hardy-Weinberg equilibrium in the sample.
A 5% alpha error and 80% beta error were adopted in the study. p significance was measured at 0.05%.
5. RESULTS
1) Demographic data shown in Table 1
a) Age:
There was no statistically significant difference in age between the two groups (t = 0.602, p = 0.549). Comparing the three groups after dividing the cases into two groups mild PE and severe PE using ANOVA (F-ratio), there was no statistically significant difference in age (F = 0.596, p = 0.553). This assures that the age was matched among the studied subgroups and homogenously distributed.
b) Gravidity:
Using the Mann-Whitney U test, there was no statistically significant difference in gravidity between the two studied groups (Z = 0.300, p = 0.764).
Using the Kruskal-Wallis test there was no statistically significant difference in gravidity among the three studied subgroups (X2 = 0.133, p = 0.936). These results assure that the groups were matched as regards gravidity.
c) Parity:
Using the Mann-Whitney U test, there was no statistically significant difference in parity between the two studied groups (Z = 0.774, p = 0.439). Using the Krus
Table 1 .Demographic data among cases and controls.
kal-Wallis test there was no statistically significant difference in parity among the three studied subgroups (X2 = 1.876, p = 0.391). These results assure that the groups were matched as regards and parity.
2) Pulse rate, systolic, diastolic blood pressure, and respiratory rate
Pulse rate, systolic, diastolic blood pressure, and respiratory rate data as shown in Tables 2 and 3.
a) Pulse:
There was no statistically significant difference in the pulse rate between the two groups (t = 1.724, p = 0.088).
Using One-way independent analysis of variance (ANOVA) test, there was a statistically significant difference in the pulse rate among the three studied subgroups (F = 4.377, p = 0.015). Further analysis using Tukey HSD method for post-hoc revealed that there was only statistically significant difference between mild and control subgroups as mild preeclampsia patient had higher mean pulse rate when compared with the control group.
b) Systolic blood pressure:
Higher mean SBP was statistically significant when compared to control group (t = 19.341, p = 0.000). Using One-way independent analysis of variance (ANOVA) test, there was (by definition) a statistically significant difference in the systolic blood pressure among the three studied subgroups (F = 269.732, p = 0.000). Further analysis using Tukey HSD method for post-hoc revealed that higher level of SBP was found in severe, than in mild and in control patients.
c) Diastolic blood pressure:
Higher mean DBP statistically significant when compared to control group (t = 13.177, p = 0.000). Using One-way independent analysis of variance (ANOVA) test, there was a statistically significant difference in the diastolic blood pressure among the three studied subgroups (F = 127.421, p = 0.000). Further analysis using Tukey HSD method for post-hoc revealed that higher level of DBP was found in severe, than in mild and in control patients.
d) Respiratory rate:
There was no statistically significant difference in the respiratory rate between the two groups (t = 0.569, p = 0.571).
Using One-way independent analysis of variance (ANOVA) test, there was no statistically significant difference in the respiratory rate among the three studied subgroups (F = 2.054, p = 0.134).
Table 2. Comparison for pulse rate, blood pressure, and respiratory rate.
*Statistically significant (p < 0.05).
Table 3. Pulse rate, blood pressure, and respiratory rate in the mild preeclampsia, severe preeclampsia and control subgroup.
*Statistically significant (p < 0.05); different superscript (a, b, c) indicate statistically significant difference with Tukey HSD method.
3) Weight, height, and BMI
a) Weight:
There was no statistically significant difference in the weight between the two groups (t = 0.473, p = 0.164). Using One-way independent analysis of variance (ANOVA) test, there was a statistically significant difference in the weight among the three studied subgroups (F = 5.538, p = 0.005). Further analysis using Tukey HSD method for post-hoc revealed that weight is statistically significantly higher in mild preeclampsia group when compared with both control and severe subgroups.
b) Height:
There was no statistically significant difference in the height between the two groups (t = 1.287, p = 0.201). Using One-way independent analysis of variance (ANOVA) test, there was no statistically significant difference in the height among the three studied subgroups (F = 0.841, p = 0.435).
c) Body mass index (BMI):
There was no statistically significant difference in the BMI between the two groups (t = 1.558, p = 0.123). Using One way independent analysis of variance (ANOVA) test, there was no statistically significant difference in the BMI among the three studied subgroups (F = 2.933, p = 0.059) (Tables 4 and 5).
5.1. Serum Level of ACE among Cases and Controls as Shown in Table 6
There was no statistically significant difference in the serum angiotensin converting enzyme level between the two studied groups (t = 1.281, p = 0.204). Using one-way independent analysis of variance (ANOVA) test, there was no statistically significant difference in the serum angiotensin converting enzyme level among the three studied subgroups (F = 0.825, p = 0.442) (Tables 6 and 7).
As regards Angiotensin converting enzyme gene polymorphism, there was no statistically significant difference between the two studied groups as well as among the studied subgroups as shown in Tables 8 and 9.
5.2. Risk Analysis for ACE Genotype
As shown in Table 10 analyzing the risk of development of preeclampsia depend on presence of ACE gene polymorphism, where it showed that there was no statistically significant risk putting in consideration the two possible modes of inheritance recessive or dominant depending on the presence of the D allele of the gene.
Calculating the Odds ratio if we consider D allele dominant (i.e. only one D is enough for inheritance) it was 0.615 and the 95% confidence interval (CI) was 0.199 - 1.901, therefore there was no significant difference between the three genotypes.
Calculating the Odds ratio if we consider D allele recessive (i.e. Both D should be present for inheritance) it was 0.824 and the 95% confidence interval (CI) was 0.347 - 1.955, therefore there was no significant difference between the three genotypes.
Sensitivity means ability of the measured serum ACE to detect positive cases of preeclampsia. ACE (AUC = 0.594, p = 0.118) as a dedicated predictive factor for the occurrence of preeclampsia, there were no statistical significance as shown in (Figure 2). This cut-off value is check by the computer software (MedCalc version 10) and was chosen on the basis of the best sensitivity and specificity.
5.3. Study of Doppler Indices of Umbilical and Uterine Arteries in Relation to the ACE Genotype
There was no statistically significant difference between
Table 4 . Weight, height, and BMI in the preeclampsia and control group.
Table 5. Weight, height, and BMI in the mild preeclampsia, severe preeclampsia and control subgroup.
*Statistically significant (p < 0.05); different superscript (a, b) indicate statistically significant difference with Tukey HSD method.
the three genotypes as regards umbilical and uterine artery indices except for the umbilical artery pulsitility index where a significant difference was found between the three genotypes as shown in Table 11.
6. DISCUSSION
Preeclampsia is characterized by hypertension, proteinurea and or oedema after the 20th week of gestation. It is a heterogeneous disorder which complicates 5% - 7% of all pregnancies and remains a leading cause of maternal and fetal mortality. In Egypt, the disease complicates 6% - 8% of all pregnancies and can reach up to 15% in referral centers like university hospitals [3].
The renin angiotensin system has been implicated to play a role in the pathophysiology of preeclampsia. Plasma and tissue angiotensin-converting enzyme (ACE) activities are believed to be under genetic control. Increased ACE activity due to the deletion polymorphism of the ACE gene is associated with a wide variety of diseases that exhibit endothelial disturbances [16].
Preeclampsia is a multisystem and multifactorial complication of pregnancy. The precise cause of preeclampsia has not been determined, but RA system may play a role. However why some women are prone to while others are protected from this disease is unknown. It has been suggested that genetic factors such as gene polymorphisms of the RA system may play an important role in the regulation of blood pressure in preeclampsia [17].
Several studies have reported that women carrying the D allele of the ACEI/D polymorphism have higher ACE activity and higher measures of uterine artery resistance,
Figure 2. Sensitivity analysis for Serum ACE in detecting preeclampsia.
Table 6. Serum level of (ACE) in the preeclampsia and controls group.
NSmeans statistically not significant at p < 0.05.
Table 7. Serum level of ACE in mild preeclampsia, severe preeclampsia and controls.
Table 8. Polymorphism in the preeclampsia and controls group.
X2: Chi square test; p: p value.
Table 9. Polymorphism in mild preeclampsia, severe preeclampsia and controls groups.
Table 10. Analysis of the risk of preeclampsia according to genotype.
MC: Monte Carlo exact test.
Table 11. Doppler indices of umbilical and uterine arteries in relation to the genotype.
X2: Chi square test, p: p value.
*Statistically significant (p < 0.05); different superscript (a, b) indicate statistically significant difference with Tukey HSD method; NSmeans statistically not significant at p < 0.05 polymorphism.
which is a marker for development of intrauterine growth retardation and preeclampsia [18,19]. These observations led to the proposal that the ACEI/D polymorphism may be a good candidate in the search for a cause of preeclampsia. We tested the hypothesis that angiotensin converting enzyme (ACE) influence the development of preeclampsia as well as Doppler changes.
Angiotensin levels are modulated by ACE, whose plasma levels have been associated with the insertion/ deletion (I/D) polymorphism in intron 16 of the ACE gene. The D allele, was considered the one at risk. The distribution of the ACE-I/D genotypes and allelic frequencies in our study of polymorphism was 37.8% for the DD, 48.9% for the ID, 13.3% for the II in preeclampsia group while it was 33.3% for the DD, 46.7% for the ID, and 20% for the II in the control group. According to these results, there was no significant difference between cases and control regarding the cumulative D effect .As regards the mode of inheritance of the gene, two types of analysis were done: Dominant analysis where considering that the D allele is dominant i.e. only one gene is enough for inheritance and recessive analysis where presence of both D alleles is needed for inheritance. By calculating Odd’s ratios in both types of analysis, no significant difference was found between pre-eclamptic group and control group , therefore ACE gene polymorphism can’t be suggested as a risk factor for developing preeclampsia. Regarding Doppler findings, there was no statistically significant difference between the three genotypes as regards umbilical and uterine artery indices except for the umbilical artery pulsitility index where a significant difference was found between the three genotypes. It was found that ACE gene polymorphism didn’t affect serum ACE activity. Several studies were found supporting our results where ACE activity and ACE I/D polymorphism were not found to be associated with preeclampsia. [20] In a study done by Rasmussen et al. [21] who found that serum ACE activities were lower in patients with preeclampsia than women with normal pregnancy, and proposed that this phenomenon reflects a decreased placental synthesis of ACE in preeclampsia. In a relative small study in Korean women, the I allele of the ACE gene was associated with preeclampsia. In each ACE genotype, there was no significant association between the genotypes and the onset of proteinuria and hypertension. No association of pregnancy outcome with ACE genotype [22].
Another study in black South African population where no significant differences in the distribution of any of these polymorphisms were found between patients with preeclampsia or eclampsia and the normal control subjects. Patients with gestational hypertension were less frequently homozygous for the ACE insertion polymorphism compared with controls. They concluded that the commonly occurring rennin angiotensin system polymorphisms are not predictive of preeclampsia or eclampsia in the Black South African population [23].
Another study was conducted on German women to evaluate the influence of ACE gene polymorphism on individual predisposition to preeclampsia where results did not indicate an association of the gene with preeclampsia [24].
Another genetic association study was conducted at the obstetrics department of the Charité university hospital, Berlin, Germany. A total of 1068 Caucasian women were consecutively included and genotyped the angiotensin-converting enzyme (ACE) insertion/deletion polymorphism. They concluded that in a large Caucasian population a common maternal polymorphism of the angiotensinogen gene is related to a blood pressure increase during pregnancy. The angiotensinogen polymorphism might contribute to the multifactorial pathogenesis of gestational hypertension and preeclampsia. Maternal polymorphisms do not influence fetal growth and birth weight [25]. These results were different from ours since the study was conducted on a large population sample. Another study was done on Japanese patients to elucidate genetic risk factors for preeclampsia and gene-environment interactions in the manifestation of preeclampsia Patients with preeclampsia and normal pregnancy controls were examined for the presence of variants of candidate genes such as angiotensin converting enzyme (ACE) gene. The results suggest that this variant gene may play a role in the manifestation of hypertension together with other independently and/or synergistically acting factors, particularly in primiparous pregnancy [26].
In the institute of Experimental Medical Research, Istanbul University in Turkey, some investigaters examined the insertion/deletion genotype distribution and the activity of ACE in preeclamptic pregnants. The presence of D allele was found to be associated with preeclampsia. The influence of allelic distribution on the enzyme activity was observed in the preeclamptics bearing II genotype, who exhibited significantly lower activity of ACE than that of the patients with the other genotypes. Investigators found an association between the genotype II and low ACE activity in preeclamptic women and an association between D allele frequency and preeclampsia. Pregnancy alone did not have an effect on the ACE activity [27].
Another study was carried out at the University Medical School of Lublin in Poland on patients with singleton pregnancy complicated by preeclampsia between 33 and 40 weeks of gestation. The serum ACE activity was estimated using spectrophotometry. It was noted that there were no statistically significant differences in patients’ profiles between groups in gravidity, parity, maternal age, gestational age and the mode of delivery. Overall, the study revealed elevated maternal and umbilical serum ACE activity in pregnancies complicated by preeclampsia. Hence, it indicates a significant role of ACE in pregnancy complicated by preeclampsia [28].
These results were different from ours since they used spectrophotometry instead of more specific technique like ELISA, also this study did not relate enzyme activity to presence or absence of gene polymorphism but researchers discussed only the role of the enzyme with the development of preeclampsia.
The preeclampsia subgroups ;there was no statistically significant difference between the three genotypes as regards umbilical artery Doppler assessment but for the uterine artery Doppler assessment, there was a significant difference between the three genotypes. Studying the uteroplacental and umbilical blood flows shows that there was no association between ACE gene polymorphism and defective blood flow at both levels. This matches with results proposed by Guo et al. [29] who found that there was no significant difference in the genotypes frequencies of the M235T allele between preeclampsia/eclampsia cases and controls in Australian and Chinese population [30,31].
Differences in the results between available literature depend on the study population and geographic location also the technique used. Despite the growing evidence of the genetic background of preeclampsia in literature, there are still gaps in our knowledge. The size of the estimated risks varies between individual studies due to heterogenecity in study design. More large scale studies are required to better assess the actual relation of ACE gene polymorphism and preeclampsia since this will inform physicians and help determine optimum management and prevention strategies. Genetic studies in preeclampsia continue to be somewhat small in size [32,33] and are usually underpowered to detect realistic genotypic relative risks (ORs between 1.15 and 1.4).
Despite these obstacles, the investment in adequate resources to study the genetics of preeclampsia is an important priority. Observational studies and the randomized trials of interventions that have to be followed have been unsuccessful thus far in identifying causal pathways in preeclampsia amenable to preventive therapies, a clear example of which are the recently failed clinical trials using either antioxidant vitamins or calcium supplements [34].
A genetic approach that is less prone to confounding and reverse causation than nongenetic observational studies, may be more likely to identify causal pathways and may help to prioritise therapeutic targets that require evaluation in large and expensive randomized clinical trials [34]. The challenge is in how to make better use of the genetic approach in complex diseases such as preeclampsia, in particular to overcome random errors in risk estimates from small studies as well as publication bias and also to overcome the high cost of the genetic testing versus the regular serum level estimation.
7. CONCLUSIONS
In the present study, we reached the following conclusions:
1) No existence of a relation between preeclampsia and ACE gene polymorphism considering different modes of inheritance whether is dominance or recessiveness.
2) No effect of ACE gene polymorphism on ACE serum level.
3) The only positive finding we had was the relation between ACE gene polymorphism and the uterine artery Doppler changes which made us suggest that ACE gene may have a role in the histopathological changes taking place in these vessels and therefore affecting maternal and fetal prognosis.
International collaborations, particularly among those countries with a high incidence of preeclampsia, may help to include participants with different cultural and genetic backgrounds, which can provide further insight into the aetiology of the disease both genetic and/or environmental.
ABBREVIATIONS
ACE: Angiotensin Converting Enzyme I/D: Insertion/Deletion PE: Preeclampsia