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Review article| Volume 211, P169-176, April 2017

Association between vascular endothelial growth factor polymorphism and recurrent pregnancy loss: A systematic review and meta-analysis

      Abstract

      Purpose

      Some studies have reported that vascular endothelial growth factor (VEGF) genetic polymorphisms are associated with recurrent pregnancy loss (RPL), but the results are controversial. This study is aimed to quantify the strength of this association.

      Methods

      A systematic review of the published literature from Medline, Springer, and China National Knowledge Infra structure (CNKI) databases was conducted and investigations of VEGF genetic polymorphisms in RPL were selected. We estimated the pooled odds ratio (OR) to assess this possible association.

      Results

      Fifteen case-control studies comprising 2702 cases and 2667 controls and including five genetic polymorphisms (rs3025039, rs833061, rs15703060, rs2010963 and rs699947) were eligible for this meta-analysis. The overall analysis suggested that only two genetic polymorphisms (rs1570360, rs3025039) were associated with increased risk of RPL. A significant increased risk between VEGF rs1570360 polymorphism and RPL was only found under the dominant model in Caucasians (OR = 1.70, 95% CI 1.02-2.82, P = 0.04). Whereas, we found that VEGF rs3025039 polymorphism was significantly associated with RPL both under the dominant and recessive model in East Asians, and their summary odd ratios and 95% CIs were 1.26, 1.04-1.53, P = 0.02 and 2.94, 1.80-4.83, P = 0, respectively.

      Conclusions

      This meta-analysis showed that only rs1570360 (especially in Caucasians) and rs3025039 (especially in East Asians) may be risk factors for RPL.

      Keywords

      Introduction

      Recurrent pregnancy loss (RPL), defined as a pregnancy failure occurring before 24 weeks of gestation more than two or three times according to most definitions, affects 1–5% of reproductive age women [
      • Vaiman D.
      Genetic regulation of recurrent spontaneous abortion in humans.
      ]. Various factors have been identified as being related to pregnancy loss, such as parental chromosomal anomalies, thrombophilia, metabolic disorders, uterine abnormalities, immune factors, maternal infections, and lifestyle factors [
      • Horne A.W.
      • Alexander C.
      Recurrent miscarriage.
      ]. However, in up to 50% of cases of recurrent miscarriage no causative factor is found [
      • Clifford K.
      • Rai R.
      • Watson H.
      • Regan L.
      An informative protocol for the investigation of recurrent miscarriage:preliminary experience of 500 consecutive cases.
      ]. In patients with RPL, specific gene polymorphisms have been proposed as risk factors for pregnancy failure [
      • Su M.T.
      • Sh Lin
      • Chen Y.C.
      Genetic association studies of angiogenesis-and vasoconstrictionrelated genes in women with recurrent pregnancy loss: a systematic reviewand meta-analysis.
      ].
      The vascular endothelial growth factor (VEGF) family is comprised of VEGF, VEGF-B, VEGF-C, VEGF-D and placental growth factor. Of these factors, VEGF is a major factor in angiogenesis and a prime regulator of endothelial cell proliferation [
      • Iruela-Arispe M.L.
      • Dvorak H.F.
      Angiogenesis: a dynamic balance of stimulators and inhibitors.
      ,
      • Senger D.R.
      • Van deWater L.
      • Brown L.F.
      • Nagy J.A.
      • Yeo K.T.
      • Yeo T.K.
      • et al.
      Vascular permeability factor (VPF, VEGF) in tumor biology.
      ]. Over-expression of VEGF has been observed in a variety of tissues in physiological and pathological conditions and is believed to be involved in various diseases, including abnormalities of embryo development, cancers, and cerebrovascular or cardiovascular diseases. During early gestation, VEGF is essential for the maturation of oocytes, the proliferation of trophoblasts, the implantation and development of the embryo, the angiogenesis of the placenta, and the growth of maternal and fetal blood vessels in the uterus [
      • Jelkmann W.
      Pitfalls in the measurement of circulating vascular endothelial growth factor.
      ]. Several VEGF polymorphisms VEGFA −2578C/A (rs699947), −460T/C (rs833061), −1154G/A (rs15703060), −634G/C (rs2010963), 398G/A (rs833068), 497G/A (rs833070), −583T/C (rs3025020) and 936C/T (rs3025039) have been reported to affect VEGF activity and expression. However, the genetic association is inconclusive.
      Considering the importance of VEGF in human pregnancy, we investigated the role of VEGF genetic polymorphisms in RPL. More than six studies were reported in five genetic polymorphisms (rs1570360, rs699947, rs2010963, rs3025039 and rs833061). Therefore, we chose these five candidate genetic polymorphisms for a systematic review of their association with RPL.

      Materials and methods

      Search strategy

      The timeline of a comprehensive literature search of databases from Medline, Springer, and China National Knowledge Infra structure (CNKI) was up to September 2015 without language restrictions. The key search terms were used: (“VEGF” or “vascular endothelial growth factor”) and (“Abortion, Habitual” or “recurrent miscarriage” or “recurrent pregnancy loss”). Eligible reports were identified by two reviewers and controversial studies were adjudicated by the third reviewer. The search results were limited to humans.

      Selection criteria

      The studies included for this meta-analysis must meet the following requirements: (1) case-control studies; (2) RPL defined as two or more losses in the first two trimesters of pregnancy; (3) RPL with known causes was excluded; (4) genotypes identified by DNA analysis; (5) information on genotype frequency was provided. In studies with overlapping cases or controls, the latest or the largest study with extractable data was included in the meta-analysis.

      Data acquisition

      Two reviewers independently used a standardized form with eligibility criteria to extract data. Disagreements were resolved by discussion or the third reviewer. The information included: name of the first author, year of publication, country of origin, number of cases and controls, mean age (if possible), and genotype distribution.

      Quality assessment

      The Newcastle-ottawa quality assessment scale (NOS) was used to assess the quality of case-control studies. This scale judged the studies on three broad perspectives: selection, comparability and exposure. Scores were ranged from 0 to 9. Studies with a score ≥7 were considered to be of high quality [
      • Chen H.
      • Zhang L.
      • He Z.
      • Zhong X.
      • Zhang J.
      • Li M.
      • et al.
      Vitamin D binding protein gene polymorphisms and chronic obstructive pulmonary disease: a meta-analysis.
      ].

      Statistical analysis

      Chi-squared analysis with exact probability was used to test the departure from Hardy-Weinberg equilibrium (HWE) for VEGF genetic polymorphism in the control group, and P < 0.05 was considered representative of departure from HWE. We evaluated five genetic polymorphisms (rs1570360, rs699947, rs2010963, rs3025039 and rs833061). Subgroup analysis was performed based on ethnicity (East Asian, Caucasian, and other population). Odds ratio (OR) represents the effect size, and 95% confidence intervals (CI) was assessed for interval estimates. Heterogeneity was tested using I2 statistic and Cochran’s Q test to quantify the proportion of the total variation. The corresponding p-value of the Q statistic below 0.05 or I2 > 50% was considered significant heterogeneity. In the presence of heterogeneity, the random-effect model was adopted as the pooling the data, otherwise, the fixed-effect model was used. The sensitivity analysis was performed by omitting each individual study and an individual study was suspected of excessive sensitivity if the point estimate of its omitted analysis lay outside the 95% CI of the combined analysis. The potential publication bias was estimated by visual inspection of Begg’s funnel plot and the Egger’s test were used to provide evidences. To consider potential geographic variation, we performed subgroup analysis stratified by geographic position. All statistical analysis was performed by using STATA version 12.0 (Stata Corp, College Station, TX, USA). All the P values were two-sided.

      Results

      Fifteen studies [
      • Papazoglou D.
      • Galazios G.
      • Papatheodorou K.
      • Liberis V.
      • Papanas N.
      • Maltezos E.
      • et al.
      Vascular endothelial growth factor gene polymorphisms and idiopathic recurrent pregnancy loss.
      ,
      • Lee H.H.
      • Hong S.H.
      • Shin S.J.
      • Ko J.J.
      • Oh D.
      • Kim N.K.
      Association study of vascular endothelial growth factor polymorphisms with the risk of recurrent spontaneous abortion.
      ,
      • Xing X.
      • Yan J.
      • Zhao Y.
      • You L.
      • Bian Y.
      • Chen Z.J.
      Association of vascular endothelial growth factor gene polymorphisms with recurrent spontaneous abortion in Chinese han women.
      ,
      • Eller A.G.
      • Branch D.W.
      • Nelson L.
      • Porter T.F.
      • Silver R.M.
      Vascular endothelial growth factor-A gene polymorphisms in women with recurrent pregnancy loss.
      ,
      • Magdoud K.
      • Dendana M.
      • Herbepin V.
      • Hizem S.
      • Jazia K.B.
      • Messaoudi S.
      • et al.
      Identification of specific vascular endothelial growth factor susceptible and protective haplotypes associated with recurrent spontaneous miscarriages.
      ,
      • Coulam C.B.
      • Jeyendran S.
      Vascular endothelial growth factor gene polymorphisms and recurrent pregnancy loss.
      ,
      • Aggarwal S.
      • Parveen F.
      • Faridi R.M.
      • Phadke S.
      • Borka M.
      • Agrawal S.
      Vascular endothelial growth factor gene polymor- phisms in North Indian patientswith recurrent miscarriages.
      ,
      • Li Z.
      • You Z.
      • Su X.
      • Zhang X.
      • Li Z.
      • Wu Z.
      • et al.
      Association of vascular endothelial growth factor genepolymorphism with recurrent spontaneous abortion in south Chinese women.
      ,
      • Su M.T.
      • Lin S.H.
      • Lee I.W.
      • Chen Y.C.
      • Kuo P.L.
      Association of polymorphisms/haplotypes of the genes encoding vascular endothelial growth factor and its KDR receptor with recurrent pregnancy loss.
      ,
      • Almawi W.Y.
      • Saldanha F.L.
      • Mahmood N.A.
      • Al-Zaman Sater M.S.
      • Mustafa F.E.
      Relationship between VEGFA polymorphisms and serum VEGF protein levels and recurrent spontaneous miscarriage.
      ,
      • Zhu H.
      • Qu L.
      • Yu B.
      • Lu H.
      • Song X.
      • Peng L.
      • et al.
      The association between gene polymorphism of vascular endothelial growth factor and recurrent spontaneous abortion.
      ,
      • Samli H.
      • Demir B.C.
      • Özgöz A.
      • Atalay M.A.
      • Uncu G.
      Vascular endothelial growth factorgene 1154 G/A, 2578C/A, 460C/T, 936C/T polymorphisms and association with recurrent pregnancy losses.
      ,
      • Huang R.
      • Pang L.
      • Wei Z.
      • Li O.
      • Qin J.
      Association of VEGF single nucleotide polymorphisms and patients with recurrent spontaneous abortion in guangxi zhuang women.
      ,
      • Luo L.
      • Li D.
      • Wei S.
      • Zhang H.
      • Zhao J.
      • Li S.
      Polymorphisms in the vascular endothelial growth factor geneassociated with recurrent spontaneous miscarriage.
      ,
      • Traina E.
      • Daher S.
      • Moron A.F.
      • Sun S.Y.
      • Franchim C.S.
      • Mattar R.
      Polymorphisms in VEGF, progesterone receptor and IL-1 receptor genes in women with recurrent spontaneous abortion.
      ] involving 2702 cases and 2667 controls were eligible for this meta-analysis on the relation of VEGF genetic polymorphism to RPL risk. Of these eligible studies, all were case-control designs and conducted in eight countries: five in China, two each in the USA and Bahrain, and one each in other six countries (Table 1). All eligible studies were transcribed in English, except three in Chinese (16, 19, and 21). Six relational studies were found on rs833061 polymorphism (17–22), twelve studies on rs3025039 (9, 10, 12, 13, 15, 17–23), nine studies on rs2010963 (9, 10, 12, 13, 17, 18, 21–23), fourteen studies on rs1570360 (9, 11–23), and eleven studies on rs699947 (9, 10, 12, 13, 15, 17–22). The number of cases varied from 38 to 339, and the number of controls varied from 30 to 371. Two or more pregnancy losses were used to define RPL in 8 studies, and three or more pregnancy loss were found in the remaining 7 studies. Seven studies recruited cases before 20 weeks, but eight studies did not described the gestational age of pregnancy loss. At least one live birth and no history of miscarriage in nine studies were selected as controls and more than two live births without abortion were in six studies. All included studies excluded ‘known’ causes for RPL. General characteristics in the published studies included in this meta-analysis were listed in Table 1, Table 2. The Table 3 showed the results of this meta-analysis.
      Table 1Characteristics of studies association between VEGF genetic polymorphisms and RPL.
      Author (year)Country (ethnicity)CaseControlsNOS scores
      nMean age (years)Number of miscarriagesGestational agenMean age (years)Number of live births
      Papazolou 2005Greek

      Caucasian
      52333<20 weeks82NA28
      Lee 2010Korea

      East Asian
      21532.82NA11331.117
      Xing 2011China

      East Asian
      33929.73NA29130.818
      Eller 2011USA

      Caucasian
      93303<20 weeks1782818
      Magdoud 2012Bahrain

      Other
      30432.43NA37131.928
      Coulam 2008USA

      Caucasian
      152NA2NA65NA17
      Aggarwal 2011India

      Other
      200283<20 weeks20031.928
      Li 2010China

      East Asian
      271292<20 weeks2503018
      Su 2011Taiwan

      East Asian
      115312NA17029.817
      Almawi 2013Bahrain

      Other
      5231.63NA8231.628
      Zhu 2014China

      East Asian
      20327.62<20 weeks19027.317
      Samli 2012Turkey

      Other
      3830.12<20 weeks2536.817
      Huang 2013China

      East Asian
      12029.92<20 weeks11028.817
      Luo 2013China

      East Asian
      22730.63NA23230.827
      Traina 2011Brazil

      Other
      7730.43NA8533.228
      NA: not available. NOS: Newcastle-ottawa quality assessment scale.
      Table 2Distribution of VEGF genotype and allele among cases and controls in five single-nucleotide polymorphisms.
      Author

      Year
      rs1570360

      GG:GA:AA
      Pars699947

      CC:CA:AA
      Pars2010963

      GG:GC:CC
      Pars833061

      TT:TC:CC
      Pars3025039

      CC:CT:TT
      Pa
      Papazolou

      2005
      c 18:19:15

      d 42:28:12
      0.06c 15:21:16

      d 27:34:21
      0.13c 14:22:16

      d 29:35:18
      0.24c 35:16:1

      d 64:17:1
      0.91
      Lee 2010c 130:80:5

      d 81:23:9
      0.01c 107:94:14

      d 60:45:8
      0.91c 67:114:34

      d 38:54:21
      0.81c 149:63:3

      D 82:29:2
      0.76
      Xing 2011c 245:89:5

      d 200:81:10
      0.61
      Eller 2011c 55:27:11

      d 86:74:18
      0.72c 38:43:15

      d 44:96:37
      0.25c 36:45:15

      d 88:73:18
      0.62c 67:29:1

      d 127:45:6
      0.42
      Magdoud 2012c 155:118:31

      d 230:126:15
      0.66c 104:152:48

      d 122:182:67
      0.95c 131:130:43

      d 154:166:51
      0.56c 207:87:10

      d 299:66:6
      0.29
      Coulam 2008c 21:101:25

      d 10:51:4
      0.01
      Aggarwal 2011c 120:48:32

      d 135:47:18
      0.01c 103:74:23

      d 116:67:17
      0.11c 142:52:6

      d 164:35:1
      0.55
      Li 2010c 149:107:15

      d 168:75:7
      0.69
      Su 2011c 74:37:4

      d 124:39:7
      0.09c 64:46:5

      d 107:55:8
      0.78c 76:32:7

      d 101:61:8
      0.75c 61:49:5

      d 99:64:7
      0.40c 75:33:7

      d 130:36:4
      0.43
      Almawi

      2013
      c 162:93:41

      d 153:119:33
      0.18c 126:117:53

      d 116:135:54
      0.18c 96:137:63

      d 127:127:51
      0.05c 112:116:68

      d 142:127:36
      0.36c 232:59:5

      d 232:65:8
      0.19
      Zhu 2014C 111:88:4

      d 89:92:9
      0.02c 120:79:4

      d 101:81:8
      0.10C 135:64:5

      d 68:101:21
      0.07c 94:79:30

      d 117:70:3
      0.04
      Samli 2012c 16:13:9

      d 12:12:1
      0.34c 20:10:8

      d 16:10:4
      0.26c 37:0:1

      d 29:1:0
      0.93c 27:7:4

      d 23:5:2
      0.06
      Huang

      2013
      c 68:46:6

      d 72:33:5
      0.63c 49:63:8

      d 58:46:6
      0.42c 50:61:9

      d 30:70:10
      0.01c 50:62:8

      d 59:46:5
      0.28c 94:21:5

      d 77:30:3
      0.97
      Luo 2013c 126:85:16

      d 145:77:10
      0.96c 127:86:14

      d 146:78:8
      0.54c 72:121:34

      d 73:126:33
      0.07c 139:79:9

      d 148:75:9
      0.90c 128:78:21

      d 159:63:10
      0.25
      Traina

      2011
      c 23:37:17

      d 27:47:11
      0.18c 59:20:1

      d 101:27:1
      0.58
      c: number of case; d: number of control; Pa: P-value for Hardy-Weinberg equilibrium (HWE) in controls.
      Table 3Results of meta-analysis.
      GenotypeGenetic modelAll included articlesAfter excluding for DHWE
      OverallPaEast AsianPaCaucasianPaOtherPaOverallPaEast AsianPaCaucasianPaOtherPa
      Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)Pooled OR (95% CI)
      rs1570360Dominant1.10 (0.99–1.22)0.071.12 (0.97–1.30)0.110.97 (0.74–1.28)0.841.12 (0.94–1.32)0.211.11 (0.99–1.25)0.081.16 (0.99–1.38)0.070.97 (0.68–1.38)0.851.09 (0.90–1.32)0.39
      (AA + AG vs. GG)
      Recessive1.31 (0.93–1.83)0.120.81 (0.46–1.45)0.481.70 (1.02–2.82)0.041.77 (1.28–2.43)01.49 (1.16–1.92)0.0021.17 (0.76–1.81)0.481.50 (0.85–2.64)0.161.76 (1.21–2.56)0
      (AA vs. GG + GA)
      rs699947Dominant1.02 (0.91–1.13)0.751.09 (0.91–1.30)0.320.88 (0.64–1.22)0.450.99 (0.86–1.16)0.931.02 (0.91–1.13)0.751.09 (0.91–1.30)0.320.88 (0.64–1.22)0.450.99 (0.85–1.16)0.93
      (AA + AC vs. CC)
      Recessive1.00 (0.82–1.23)0.811.05 (0.67–1.64)0.840.91 (0.56–1.48)0.721.01 (0.79–1.31)0.981.00 (0.82–1.23)0.811.05 (0.67–1.64)0.840.91 (0.56–1.48)0.721.01 (0.79–1.31)0.98
      (AA vs. AC + CC)
      rs2010963Dominant1.02 (0.91–1.15)0.720.94 (0.78–1.12)0.501.19 (0.86–1.65)0.291.06 (0.89–1.25)0.531.04 (0.92–1.18)0.490.97 (0.80–1.19)0.801.19 (0.86–1.65)0.291.06 (0.89–1.25)0.53
      (CC + CG vs. GG)
      Recessive1.15 (0.95–1.41)0.160.97 (0.69–1.36)0.871.48 (0.87–2.50)0.141.21 (0.92–1.59)0.181.17 (0.96–1.44)0.131.00 (0.69–1.43)0.981.48 (0.87–2.50)0.141.21 (0.92–1.59)0.18
      (CC vs. CG + GG)
      rs833061Dominant0.98 (0.73–1.32)0.890.94 (0.63–1.40)0.751.16 (0.89–1.51)0.270.98 (0.73–1.32)0.890.94 (0.63–1.40)0.751.16 (0.89–1.51)0.27
      (CC + CT vs. TT)
      Recessive0.98 (0.45–2.13)0.960.73 (0.29–1.85)0.501.95 (1.27–3.01)0.0020.98 (0.45–2.13)0.960.73 (0.29–1.85)0.501.95 (1.27–3.01)0.002
      (CC vs. CT + TT)
      rs3025039Dominant1.27 (1.12–1.46)01.26 (1.04–1.53)0.021.20 (0.78–1.83)0.411.31 (1.07–1.61)0.011.26 (1.09–1.45)0.0021.21 (0.96–1.52)0.101.20 (0.78–1.83)0.411.31 (1.07–1.61)0.01
      (TT + CT vs. CC)
      Recessive2.11 (1.47–3.03)0.022.94 (1.80–4.83)00.50 (0.10–2.48)0.391.55 (0.84–2.86)0.161.59 (1.07–2.36)0.021.92 (1.09–3.39)0.020.50 (0.10–2.48)0.391.55 (0.84–2.86)0.16
      (TT vs. CT + CC)
      Pa: P-value for 95% CI. CI: confidence interval. DHWE: deviated from Hardy − Weinberg equilibrium in controls.

      rs1570360 polymorphism and RPL

      The most commonly studied allelic variant in VEGF was the rs1570360 polymorphism. Fourteen eligible studies included a total of 1855 cases and 2014 controls for analysis. Under the recessive genetic model (AA vs. GG + GA), significant heterogeneity among the study was observed (Cochran’s Q test: χ2 = 28.40, p-value = 0.008; Higgins statistics: I2 = 54.2%), so random-effect model was used. The summary ORs and 95% CI for fixed-effect model showed significant association between the rs1570360 polymorphism and RPL both was only observed in Caucasian (OR = 1.70, 95% CI 1.02–2.82) (Fig. 1). Under the dominant genetic model, no significant among-study heterogeneity was observed (Cochran’s Q test: χ2 = 13.68, p-value = 0.39; Higgins statistics: I2 = 5%). However, the association between rs1570360 polymorphism and RPL was not observed in any ethnicity (Table 3). Publication bias was not detected in the included studies (Egger’s P-value = 0.88). No individual study was found to have an excessive effect on the overall results (data not shown).
      Fig. 1
      Fig. 1Association of rs1570360 polymorphism and RPL risk under the recessive genetic model.

      rs699947 polymorphism and RPL

      Eleven studies with a total of 1866 RPL women and 1980 normal controls investigated the association between rs699947 polymorphism and RPL. The heterogeneity among each study was not significant in both the dominant (AA + CA vs. CC) and recessive model (AA vs. CA + CC) (Cochran’s Q test: χ2 = 6.06, p-value = 0.21; Higgins statistics: I2 = 0, fixed-effects model in the recessive model). Meta-analysis showed no significant association between VEGF rs699947 polymorphism and RPL in any ethnicity (Table 3). Tests for publication bias did not detect a significant bias (Egger’s P-value = 0.26). No individual study was found to have an excessive effect on the overall results (data not shown).

      rs2010963 polymorphism and RPL

      Nine studies comprising 1502 cases and 1647 controls were included for this meta-analysis. No significant heterogeneity was observed among these included studies both in the dominant (CC + CG vs. GG) and recessive mode (CC vs. GG + CG) (Cochran’s Q test: χ2 = 3.97, p-value = 0.86; Higgins statistics: I2 = 0, fixed-model effects in the recessive model). Meta-analysis showed no significant association between rs2010963 polymorphism and RPL in any genetic model. Publication bias was not detected in the included studies (Egger’ s P-value = 0.85). No individual study was found to have an excessive effect on the overall results (data not shown).

      rs833061 polymorphism and RPL

      Six studies, without anyone being excluded from HWE, included a total of 999 patients and 1037 controls for analysis. The heterogeneity among each study was significant in recessive genetic model (CC vs. CT + TT) (Cochran’s Q test: χ2 = 16.92,p-value = 0.01; Higgins statistics: I2 = 70.4%, random-effects model in the recessive model). Meta-analysis showed no significant association between rs833061 polymorphism and RPL in any ethnicity (Table 3). Tests for publication bias did not detect a significant bias (Egger’ s P-value = 0.89). Two studies (Almawi 2013, Zhu 2014) were found to have an excessive effect on the overall results. After excluding the two articles, the meta-analysis showed an increased association between rs833061 genetic polymorphism and RPL, but this association was not significant (OR = 1.18, recessive model).

      rs3025039 polymorphism and RPL

      Twelve studies with one being excluded from HWE (Zhu 2014) included 1947 RPL patients and 2110 controls in this meta-analysis. The overall results showed significant association between rs3025039 polymorphism and RPL both under dominant (TT + TC vs. CC) and recessive genetic models (TT vs. TC + CC). The heterogeneity among these included studies did not show significance (Cochran’s Q test: χ2 = 18.64, p-value = 0.07; Higgins statistics: I2 = 41%, fixed-model effects in the recessive model). Subgroup analysis showed that the association between rs3025039 polymorphism and RPL was only observed in East Asian.Under the dominant and recessive models, respectively, the overall ORs and 95% CIs were 1.27, 1.12–1.46, P = 0 (1.26, 1.04–1.53, P = 0.02, in East Asians) and 2.11, 1.47–3.03, p = 0.02 (2.94, 1.80–4.83, P = 0, in East Asians) (Fig. 2). Publication bias was not detected in the included studies (Egger’s P-value = 0.40). No individual study was found to have an excessive effect on the overall results (data not shown).
      Fig. 2
      Fig. 2Association of rs3025039 polymorphism and RPL risk under the dominant and recessive genetic model. (A) Dominant model. (B) Recessive model.

      Discussion

      Vascular endothelial growth factor (VEGF) plays an important role in inadequate vascular formation and oocyte maturation, decidualized endometrial vascularization, and embryo implantation. In human early pregnancy, the state of chorionic villi vascularization is close to embryonic development, and diminished placental trophoblastic VEGF has been described in the decidual endothelium of recurrent miscarriages [
      • Vuorela P.
      • Carpén O.
      • Tulppala M.
      • Halmesmäki E.
      VEGF, its receptors and the tie receptors in recurrent miscarriage.
      ]. Many studies have reported the association between VEGF genetic polymorphisms and RPL, but the results are controversial, so this meta-analysis was performed to quantify this association.
      In this systematic review of studies on the association between five VEGF genetic polymorphisms (rs1570360, rs699947, rs2010963, rs3025039 and rs833061) and RPL risk. The present meta-analysis included 2702 cases and 2667 controls from 15 independent case-controls studies. More than six studies were included for this meta-analysis in each genetic polymorphism. Our results showed that rs1570360 and rs3025039 were significantly associated with RPL. The summary ORs of rs699947, rs2010963 and rs833061 failed to show significance in RPL after meta-analysis. However, when subgroup (East Asian, Caucasian and other population) analysis by ethnicity was performed, our results showed that significant association between rs1570360 and RPL risk was observed in Caucasian. However, this significant association was observed in East Asian between rs3025039 and RPL risk.
      In the present meta-analysis, attempts were made to avoid general limitations such as selection bias and publication bias that might exist in the original papers. The most obvious difference would be the definition of RPL. Only the patients of RPL in three studies [
      • Papazoglou D.
      • Galazios G.
      • Papatheodorou K.
      • Liberis V.
      • Papanas N.
      • Maltezos E.
      • et al.
      Vascular endothelial growth factor gene polymorphisms and idiopathic recurrent pregnancy loss.
      ,
      • Eller A.G.
      • Branch D.W.
      • Nelson L.
      • Porter T.F.
      • Silver R.M.
      Vascular endothelial growth factor-A gene polymorphisms in women with recurrent pregnancy loss.
      ,
      • Aggarwal S.
      • Parveen F.
      • Faridi R.M.
      • Phadke S.
      • Borka M.
      • Agrawal S.
      Vascular endothelial growth factor gene polymor- phisms in North Indian patientswith recurrent miscarriages.
      ] met three or more miscarriages before 20 weeks of gestation age. Many chosen groups include women with two consecutive miscarriages and did not describe the precise pregnancy loss of gestation age. By combining these datas, it could indicate that AA genotype of rs1570360 polymorphism and TT genotype of rs3025039 polymorphism in two pregnancy losses might be an important risk factor for RPL.
      Another potential difference would be the gestational age at pregnancy loss. Only seven studies described the gestational age of pregnancy loss (all were before 20 weeks), and the gestational age at pregnancy loss in remaining eight studies were unknown. Some other potential less obvious biases would be the maternal age. The mean age ranged from 27.6 to 33 years in cases and 27.3–37 years in controls (Table 1). Some of the studies did not provide the information about this factor and therefore we could not integrate this variable into this meta-analysis. Although allele/genotype are similar in different studies in the same ethnicity, different allele/genotype frequencies of the five genetic polymorphisms exist in different ethnic groups. This would be an another factor that affect the results. Besides, our study only included articles published in English and Chinese from the three selected databases, and the number of studies and the sample sizes were relatively small for analysis of each gene polymorphism thereby having insufficient power to estimate the association between VEGF genetic polymorphism and RPL risk.
      We used sensitivity analysis to attempt to explore the potential important causes of the between-study heterogeneity for the studies. Our results found that significant between-study heterogeneity was observed only in one genetic polymorphism (rs833061). After excluding the two articles, lower heterogeneity (I2 = 0, and the previous I2 was 70.4%) was found in the allele model (C vs. T), and the meta-analysis showed an increased association between rs833061 genetic polymorphism and RPL, but this association was not significant (OR = 1.18, recessive model). Moreover, in our meta-analysis, we could not find any significant publication bias in any inheritance model by Begg’ s funnel plot and the Egger’ s test (data not shown).

      Conclusions

      Only two of five selected VEGF genetic polymorphisms (rs1570360 and rs3025039) were found to show significant association with the occurrence of RPL. Since we could not completely preclude the potential bias and confounders in this meta-analysis, further studies with more samples and standardized unbiased genotyping methods are needed to confirm our findings.

      Funding

      None.

      Conflict of interest

      The authors declare that they have no conflict of interest.

      Acknowledgments

      Wen Zhang provided language help.

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