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The association between apolipoprotein E and gallstone disease: an updated meta-analysis
BMC Medical Genetics volume 20, Article number: 109 (2019)
Gallstone disease (GSD) is a common biliary tract disease worldwide. Previous studies have investigated the association of apolipoprotein E (APOE) E4 with GSD and reported inconsistent results.
In this paper, we conducted meta-analyses to examine whether APOE E4 is associated with the risk of GSD. A systematic literature search was performed in PubMed, Cochrane Library, EMBASE, and Google Scholar using the following inclusion criteria: 1) Studies on human subjects; 2) subjects in the control group must undergo ultrasound GSD screening, and presence of GSD in the experiment group can be clearly determined, e.g., diagnosis of GSD through ultrasound screening or a previous history of cholecystectomy or cholelithiasis; 3) the studies reported APOE genotype data (APOE E4+ vs. E4-) for subjects with and without GSD. In all the meta-analyses, we used random-effects models to calculate the odds ratios (ORs) as a measure of association as well as the corresponding confidence intervals (CIs).
Our literature search found 13 publications with 14 studies, including a total of 1632 GSD patients and 5001 controls, that met the eligibility criteria and were included in the meta-analyses. We did not find a significant association between APOE E4 and risk of GSD (OR = 1.23, 95% CI: 0.89–1.68; p = 0.205). No significant associations were observed in subgroup analyses by gender and mean age. We obtained similar insignificant findings if an additive model was used, if subjects who had E2E4 genotype were excluded, or if low-quality studies were excluded.
Our meta-analysis found insufficient evidence for the effect of APOE E4 on GSD risk. Future studies with large sample sizes that control for important confounding/risk factors are needed to validate our findings and to explore other genetic loci that might affect GSD risk.
Gallstone disease (GSD) is one of the most prevalent biliary tract diseases worldwide , affecting 10–15% of the adult population in the United State . Among gastrointestinal problems, GSD is a leading cause for hospital admissions, with an estimated 1.8 million ambulatory care visits each year . GSD constitutes a major burden to the health care systems, with an annual cost of around $6.5 billion in the USA .
There are two major types of gallstones: cholesterol stones, which mainly consistent of cholesterol monohydrate crystals and precipitates of amorphous calcium bilirubinate, and pigment stones, which mainly contain calcium bilirubinate. The exact pathogenesis of GSD remains to be determined, and efficient strategies for primary prevention and nonsurgical therapies are still under development.
The etiology of GSD is multifactorial and involves interaction of genetic and environmental factors. Previous research has identified multiple risk factors for the development of GSD, such as age [4, 5], female gender , obesity , and diabetes mellitus . Twin research indicated that the heritability of GSD was approximately 25% . Meanwhile, multiple genes have been reported to be associated with increased GSD risk, such as ATP Binding Cassette Subfamily G Member 8 (ABCG8) , mucin-like protocadherin (MUPCDH)  and apolipoprotein E (APOE) .
The APOE gene is located on chromosome 19. APOE is a major component of very low-density lipoproteins (VLDLs), which is critical for removing excessive blood cholesterol and maintaining normal cholesterol level. Defects in APOE gene in human can lead to familial type III hyperlipoproteinemia (HLP III) showing impaired clearance of chylomicron, VLDL, LDL and increased blood cholesterol . APOE has 3 polymorphic alleles, E2 (cys112, cys158), E3 (cys112, arg158), and E4 (arg112, arg158). The E4 has been found to be implicated in multiples diseases/disorders, such as impaired cognition, late-onset Alzheimer’s Disease, and ischemic cerebrovascular disease [14, 15].
Human and mouse model studies have been conducted to examine the role of APOE in the development of GSD. Research with APOE-deficient mice showed decreased gallstone formation compared to the wild-type mice, suggesting a role of APOE in gallstone formation . However, findings in the human regarding the role of APOE in GSD formation are inconsistent. For example, a positive association was found between APOE E4 genotype and cholesterol crystals in bile, fast cholesterol crystallization in gallbladder bile and a higher cholesterol content in gallstones [12, 17]. However, other studies failed to confirm the findings [18, 19]. Moreover, presence of E4 allele was found to be an independent factor enhancing gallstone clearance in patients undergoing extracorporeal shock-wave lithotripsy (ESWL), but E4 carriers showed a higher recurrence rate following ESWL .
Previous studies also examined the relationship between APOE polymorphisms and GSD risk, with inconsistent conclusions. To the best of our knowledge, two meta-analyses have been conducted to address the relationship between APOE and GSD risk [21, 22]. The former one was included in a paper published in 2013, focusing on the association of eight genetic variants with GSD using a Mendelian randomization approach. This meta-analysis included studies published up to 2012. Some publications were missed in the literature search. The latter one was published in 2012, and included 17 studies with a total of 1773 cases and 2751 controls. This meta-analysis suffers from several methodological concerns, as outlined in more detail in the discussion section. Moreover, new studies appeared after the two meta-analyses. Therefore, to better examine the association of APOE genotype with GSD risk, we performed this updated meta-analysis which adapted more stringent criteria regarding inclusion of eligible studies and included most recent publications.
As our study used a systematic review and meta-analysis, ethical approval of this study and informed consent statement are not required.
The following inclusion criteria were used to determine study eligibility: 1) Studies on human subjects; 2) subjects in the control group must undergo ultrasound GSD screening, and presence of GSD in the experiment group can be clearly determined, e.g., diagnosis of GSD through ultrasound screening or a previous history of cholecystectomy or cholelithiasis; 3) the studies reported APOE genotype data (APOE E4+ vs. E4−) for subjects with and without GSD. We chose the one with a larger sample size if multiple studies used overlapping data.
Two authors (LL and JY) performed an extensive literature search in PubMed, Cochrane Library, EMBASE and Google Scholar for papers published before July 18, 2017. The keywords used in the literature search are provided online (Additional file 1: Keywords used in the literature search).
We retrieved all potentially relevant publications to evaluate study eligibility. We also searched the references in all relevant studies for research that might have been missed during the literature search. The two authors performed the literature search independently. The search was limited to studies published in English. Any disagreement was resolved by group discussion (LL, XQ and JY).
Two authors (LL and JY) independently extracted the following data from the eligible studies, according to a pre-specified protocol for data extraction: name of the first author, year of publication, participants characteristics including sample size, mean age, distribution of gender, race/country of origin of the participants, diagnosis of GSD, and APOE genotype data for patients with and without GSD. Any discrepancies were resolved in a group meeting. Quality of the included studies were assessed by two authors (LL and JY) independently using Newcastle–Ottawa scale (NOS) . Extracted data were entered into a computerized spreadsheet for analyses.
All studies satisfied Hardy–Weinberg equilibrium (HWE) regarding the genotype in the control group. Odds ratios (ORs) were used as a measure of association between the APOE genotype and GSD risk. We used random-effects models to calculate the ORs and the corresponding 95% confidence intervals (CIs) in all the meta-analyses. Between-study heterogeneity was assessed using I2, and publication bias was evaluated using a funnel plot and Egger’s test.
We examined the association by gender, and repeated the analysis by excluding subjects who had E2E4 genotype, and subsequently examined the association using an additive model (e.g., carrying one or two E4 alleles vs. no E4 allele). Finally, we repeated the analysis by excluding studies of low quality (NOS < 6 stars).
All statistical analyses were performed using Stata 11.2 (StataCorp LP, College Station, TX, USA) and SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). A p < 0.05 was considered statistically significant. This study was reported according to the PRISMA guidelines .
Availability of data and materials
No additional data are available.
Study selection and characteristics
Figure 1 shows the selection of eligible studies included in our meta-analyses. We identified a total of 53 potential publications through our initial search. After screening of the abstracts, 29 publications were excluded either because they were not about human subjects, were not in English, were case studies, were reviews or meta-analyses, or were irrelevant. This left 24 studies which were retrieved for more detailed evaluations. We excluded an additional 11 studies because there was no control group, or the studies did not specify GSD screening in the control group or did not provide sufficient data. This led to 13 potentially relevant publications for our analysis. We identified one more study through searching the references of the potential studies, and then excluded one more study because the outcome is not GSD. This led to 13 publications with 14 studies that met the eligibility criteria and were included in our analyses [12, 21, 25,26,27,28,29,30,31,32,33,34,35,36].
All included publications had been published since 1994. Basic characteristics of the included studies were presented in Table 1. Most of the studies are of good quality. The combined study included 1632 GSD patients and 5001 subjects without GSD.
Assessment of publication Bias
We did not find evidence of a significant publication bias for the meta-analysis of the 14 included studies (p = 0.338; Fig. 2a), or for the meta-analysis excluding subjects who had E2E4 allele (p = 0.483). There was no evidence of publication bias in stratified meta-analysis by gender, or by mean age (all p > 0.190). We found evidence of a publication bias for the meta-analysis using an additive model (p = 0.005; Fig. 2b).
Association of APOE with GSD
We found no association of APOE E4 with the risk of GSD in the meta-analysis including all the 14 studies (OR = 1.23, 95% CI: 0.89–1.68; p = 0.205; Fig. 3). There was high heterogeneity among the included studies (I2 = 75.1%, p < 0.0001). We found no association in either the male (OR = 1.32, 95% CI: 0.77–2.27; p = 0.317; I2 = 20.3%, p for heterogeneity = 0.285), or the female subjects (OR = 1.17, 95% CI: 0.77–1.77; p = 0.474; I2 = 40.5%, p for heterogeneity = 0.169).
We then excluded subjects who had E2E4 genotype, and found no significant association of APOE E4 with GSD risk (OR = 1.30, 95% CI: 0.90–1.88; p = 0.156; I2 = 75.2%, p for heterogeneity< 0.0001). We then assessed the association assuming an additive genetic model, and found no statistically significant dosage effect of APOE E4 allele on the risk of GSD (OR = 0.63, 95% CI: 0.36–1.12; p = 0.114; I2 = 94.7%, p for heterogeneity< 0.0001).
We also divided the included studies into two subgroups based on the mean age in the control group: > 50 and ≤ 50 years, and conducted corresponding subgroup analysis. We found no statistically significant association of APOE E4 in both the > 50 age group (OR = 1.13, 95% CI: 0.68–1.88; p = 0.630; I2 = 71.7%, p for heterogeneity = 0.014), and in the ≤50 age group (OR = 1.14, 95% CI: 0.77–1.69; p = 0.521; I2 = 75.3%, p for heterogeneity < 0.0001). We repeated the analysis by excluding studies of low quality (NOS < 6 stars). Our findings remain essentially unchanged (OR = 1.21, 95% CI: 0.87–1.70; p = 0.257; I2 = 76.8%, p for heterogeneity< 0.0001). Finally, five studies (four publications) provided data regarding association of APOE genotype with cholesterol GSD [29, 32,33,34]. We performed meta-analysis using data from these five studies, and got similar non-significant results (OR = 0.84, 95% CI: 0.56–1.27; p = 0.418; I2 = 47.8%, p for heterogeneity = 0.105).
In this paper, we performed a systematic literature search and conducted meta-analyses to examine the association of APOE with GSD. In the pooled analysis of 1632 GSD patients and 5001 subjects without GSD, we did not find evidence for significant association of APOE with GSD risk. Similar non-significance was observed in subgroup analysis by gender and mean age, and in other sensitivity analyses.
A previous meta-analysis published in 2012 of 17 studies from 16 publications examined the association of APOE E2/E3/E4 polymorphisms with GSD risk . However, the main findings of this study are misleading due to the several methodological issues. The authors claimed that comparison of alleles E4 with E3 yielded a 25% increased risk that was statistically significant (p = 0.0003). However, based on the forest plot and the 95% CI (0.97–1.61), this increased risk should not be statistically significant (actual p = 0.084 based on the CI). Similar mistakes (wrong calculation of the p-values) can be found in the other findings throughout the publication. This meta-analysis also included one study which provided genotype frequency for cholesterol gallstone patients and pigment stone patients . Out of the 16 publications included in the study, seven were based on Chinese subjects. After excluding these seven studies, no significant association was found between APOE E4 and GSD risk in non-Chinese studies. Our updated meta-analysis included publications missed by the previous meta-analysis, and we only retained studies in which presence/absence of GSD can be relatively accurately determined. We did not include two studies despite their relative samples sizes because in one study, the existence of GSD at baseline was determined according to a phone interview of medical history , and in the other study, subjects in the control group did not undergo GSD screening . Including such studies could bias the results as subjects may have asymptomatic GSD. Nonetheless, we performed a sensitivity analysis by including the two studies in the meta-analysis, and obtained similar findings (OR = 1.10, 95% CI: 0.89–1.38; p = 0.376; I2 = 78.6%, p for heterogeneity< 0.0001; Fig. 4).
Out of the 14 studies included for meta-analyses in this paper, only three studies reported a significantly increased risk of GSD in APOE E4 carriers [12, 28, 35]. while other studies reported no significant association. It is also interesting to note that some studies seemed to indicate a trend of protective effect of APOE E4 on GSD risk. For example, the study by Jaime et al.  found that the risk of GSD decreased by 45% among APOE E4 carriers, compared to non-carriers (OR = 0.55, 95% CI: 0.28–1.06; p = 0.073). Similar findings held when we excluded E2E4 carriers. Selection bias may be underlying the inconsistent findings. In the three studies reporting a positive association, the APOE E4 allele frequency is relatively low in the control group (4–8%) compared to the general population .
Our study had several limitations: Although efforts were made in the systematic literature search in an attempt to include as many eligible studies as possible, the pooled sample size is still small. We had to exclude two large studies because the presence/absence of GSD cannot be clearly determined. More studies with larger samples are needed to further validate our findings. The heterogeneity was high for many of the meta-analyses in this study. Additional data of participants for each individual study were limited, and were only available for some of the included studies, making it hard to identify the real sources of heterogeneity. To explore the possible sources of heterogeneity, we performed a random-effects meta-regression analysis by including age, gender and race. However, none of the three variables were statistically significant, and there were 59.4% remaining residual variation due to heterogeneity. Interestingly, we obtained acceptable heterogeneity in a sensitivity analysis including 5 studies on the association of APOE with risk of cholesterol GSD. We got a similar non-significant finding, further supporting that there was no association between cholesterol gallstones and APOE E4 genotype. As in other meta-analyses that only utilized published data, we could not control for potential confounding/risk factors, such as age, sex , ethnicity and dietary pattern . The estimated effect of APOE on GSD risk might be greatly confounded by such factors, and therefore could influence the validity of any meta-analysis that uses unadjusted results. Therefore, such important confounding factors should be taken into account in future studies on the relationship between APOE and the GSD risk.
We performed meta-analyses to examine the association of APOE E4 with GSD. We found no significant effect of APOE E4 on GSD risk. Future studies with large sample sizes that control for important confounding risk factors are needed to validate our findings and to explore additional genetic loci that might affect GSD risk. Prospective studies that take into account important comorbid factors, such as hypertension, diabetes, and coronary artery disease, are also needed to fully elucidate the relationship between APOE E4 and GSD risk.
Availability of data and materials
Raw data can be accessed from the corresponding author on reasonable request.
ATP Binding Cassette Subfamily G Member 8
- HLP III:
Type III hyperlipoproteinemia
Very low-density lipoproteins
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We would like to thank the participants in the included studies for their contributions.
This study was supported by the National Natural Science Foundation of China (Grant No. 81660329 and No. 81771493), Key Science and Technology Program of Shaanxi Province, China (2015SF011), College Student Innovation & Entrepreneurship Project of Liaoning Province awarded to Dr. Lu Han (201410164000016), and College Student Innovation & Entrepreneurship Training Program of Hainan Medical University (HYCX2015054) awarded to Mr. Shikang Cai. Dr. Jingyun Yang’s research was also supported by NIH/NIA grant R01AG036042 and the Illinois Department of Public Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Keywords used in the literature search. Combination of keywords used in the literature search of potential publications in PubMed, Cochrane Library, EMBASE and Google Scholar (DOCX 14 kb)