ABCA1 rs1883025 and CYP4F2 rs2108622 Gene Polymorphism Association with Age-Related Macular Degeneration and Anti-VEGF Treatment

Mockute, Ruta; Vilkeviciute, Alvita; Balciuniene, Vilma Jurate; Zemaitiene, Reda; Liutkeviciene, Rasa

doi:10.3390/medicina57090974

Open AccessArticle

ABCA1 rs1883025 and CYP4F2 rs2108622 Gene Polymorphism Association with Age-Related Macular Degeneration and Anti-VEGF Treatment

¹

Department of Ophthalmology, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, LT-50009 Kaunas, Lithuania

²

Neuroscience Institute, Lithuanian University of Health Sciences, Medical Academy, Eiveniu 2, LT-50009 Kaunas, Lithuania

^*

Author to whom correspondence should be addressed.

Medicina 2021, 57(9), 974; https://doi.org/10.3390/medicina57090974

Submission received: 13 August 2021 / Revised: 11 September 2021 / Accepted: 13 September 2021 / Published: 16 September 2021

(This article belongs to the Special Issue Novel Therapies for Retinal Diseases)

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Abstract

:

Background and Objectives: The age-related macular degeneration (AMD) pathophysiology is multifactorial, as it consists of interactions between aging, genetic, and environmental factors. We aimed to determine a relationship between AMD and the genes controlling lipid metabolism, and to assess its association with treatment results. The purpose was to find the ABCA1 rs1883025 and CYP4F2 rs2108622 gene polymorphisms in patients with exudative AMD (eAMD) treated with anti-VEGF. Materials and Methods: The study enroled 104 patients with eAMD and 201 healthy persons in a control group. The genotyping of rs1883025 and rs2108622 was performed using the RT-PCR method. The best-corrected visual acuity (BCVA) and central retinal thickness (CRT) were measured before anti-VEGF therapy, then at three and six months during the therapy, using optical coherence tomography (OCT). The patients were grouped to responders and non-responders according to the changes in BCVA and CRT. Results: The T allele at rs1883025 was more frequent in non-responder eAMD patients compared to responder eAMD patients (41.7% vs. 21.1%; p = 0.009). The analysis of rs2108622 gene polymorphism did not reveal any differences in the distribution of C/C, C/T, and T/T genotypes between the eAMD group and the control group (56.35%, 39.78%, and 3.87% in the eAMD group and 53.33%, 39.05% and 7.62% in the control group, respectively, p = 0.286). The comparison of CRT and BCVA between the rs2108622 genotypes revealed statistically significant differences: CRT was thicker for the CC carriers than for those with CT and TT genotypes (p = 0.030). Conclusion: The rs1883025 T allele was found to play a more significant role in non-responder eAMD patients compared to responder eAMD patients. The rs2108622 genotypes revealed statistically significant differences: CRT was thicker for the CC carriers than for those with CT and TT genotypes.

Keywords:

1. Introduction

AMD is the main cause of blindness in the developed countries [1,2]. Prevalence of this disease increases rapidly with the age over 75 years. As the population is aging, AMD is becoming a more and more serious problem in the world. Systematic reviews and meta-analysis have shown that 8.7% of the population have AMD, and the expected numbers will have reached 300 million by 2040 [3]. The complex etiology of AMD is associated with genetic and environmental risk factors [4]. There are two types of late AMD, i.e., atrophic and exudative. Atrophic AMD’s clinical signs are the presence of drusen and geographic atrophy of the retina. An exudative AMD’s signs are the invasion of abnormal choroidal membranes by newly formed blood vessels with the leakage of fluid under the retina [5]. Exudative AMD accounts for 80% to more than 90% of severe vision loss [2,5] and 80% of significant visual loss related to AMD [2]. Exudative AMD’s (eAMD) distinctive feature is choroidal neovascularization (CNV). It is an abnormal blood vessel growth from the choroid through the Bruch’s membrane [6]. Vascular endothelial growth factor (VEGF) is the main mediator in pathogenesis of CNV. It induces angiogenesis and increases vascular permeability [7]. Consequently, anti-vascular endothelial growth factor agents (anti-VEGF) have been the pole of the therapy for eAMD in the last decade [7]. Three anti-VEGF agents, pegaptanib, ranizumab, and bevacizumab, effectively treat eAMD [8,9]. With ageing, deposition of lipid particles in normal Bruch’s membrane leads to the creation of a lipid wall external to the basal lamina of RPE, aggravating nutrient exchange between the choriocapillaris and the RPE and partially destroying retinal function [10,11,12,13]. Lipids make up 40% of drusen [11,14,15]. Oxidized cholesterol is involved in AMD; its deposits have been found at BrM, choriocapillaris, and endothelial cell surfaces [16]. It also induces vascular endothelial growth factor production in RPE cell cultures and can cause choroidal neovascularization in AMD’s wet form [16]. Cytochrome P450 (CYP) enzymes belong to a superfamily of oxidoreductases that catalyse the metabolism of both endogenous substances and xenobiotics, including drugs [17]. Metabolites generated in the CYP epoxygenase pathway are related to inflammation and angiogenesis. It is known that the CYP-derived lipid metabolites 17,18-epoxyeicosatetraenoic acid and 19,20-epoxydocosapentaenoic acid play a vital role in alleviating choroidal neovascularization (CNV) severity by regulating leukocyte recruitment and the inflammatory microenvironment in CNV lesions [18]. CYP4F2 is a member of the CYP450 superfamily and plays the main role in the metabolism of exogenous and endogenous compounds [19]. The liver, heart, lungs, and kidneys are expressing CYP4F2, which is involved in leukotriene B4 (LTB4) and 20-hydroxyarachidonic acid (20-HETE) metabolism [20]. There are known associations of AMD with several genes implicated in high density lipoprotein (HDL) metabolism [21]. Genome-wide association (GWAS) reported associations of AMD with the ATP-binding cassette transporter A1 (ABCA1) gene [22]. ABCA1 is a sterol-induced membrane protein that mediates the excess cholesterol transfer from cells to lipid-poor apolipoprotein (apo)A-I, the major protein component of HDLs [23]. Mutations in human ABCA1 are associated with a severe HDL deficiency, cholesterol deposition in tissue macrophages, and prevalent cardiovascular disease [24]. RPE cells express apolipoprotein ATP binding cassette transporter A1 (ABCA1) [25]. Reverse cholesterol transport mediated through ABCA1 releases cholesterol to apoE and apoA1, forming high-density lipoproteins to recycle lipids, including docosahexaenoic acid (DHA) and cholesterol [26].

We have conducted research to find the association between eAMD and the genes ABCA1 rs1883025 and CYP4F2 rs2108622, taking part in lipid metabolism, and to determine their association with Anti-VEGF treatment.

2. Materials and Methods

The study was conducted at the Ophthalmology Laboratory, Neuroscience Institute, Lithuanian University of Health Sciences (LUHS), (Number-BE-2-/48). The study sample was comprised of patients with eAMD group, n = 104, and a control group included 201 subjects.

2.1. Control Group Formation

The control group consisted of 201 subjects who had no ophthalmologic pathology on examination and agreed to participate in this study. The control group was constructed of 134 women and 67 men aged from 67 to 94 years.

The differences of gender and age between the groups were not statistically significant (Table 1).

2.2. Ophthalmological Evaluation

Best-corrected visual acuity (BCVA) was measured using the standard procedure adapted for the Age-Related Eye Disease Study (AREDS) at a 5-m distance from the chart (letters on the ETDRS logMAR chart); for subjects with significantly impaired vision, at one meter. During examination, intraocular pressure was measured as well. Pupils were dilated with tropicamide 1%, after which fundoscopy, using slit-lamp biomicroscopy with a double aspheric lens of +78 dioptre, was performed. Two ophthalmologists diagnosed AMD.

CRT measurements were performed before therapy, at three months and at six months after the first anti-VEGF intravitreal injection using optical coherence tomography (Nidek RS 3000). All patients, older than 50 years, with the presence of exudative or haemorrhagic features in the macula, had no previous intravitreal anti-VEGF treatment, and had a follow-up at least six months after the first injection of anti-VEGF.

The following subject inclusion criteria were used: (i) All gender patients, older than 50 years, with the presence of exudative or haemorrhagic features in the macula; (ii) The diagnosis of AMD was confirmed by two ophthalmologists by performing OCT; (iii) an informed person consent form has been signed.

The following subject exclusion criteria were used: (i) unrelated eye disorders, e.g., high refractive error, cloudy cornea, lens opacity (nuclear, cortical, or posterior subcapsular cataract) except minor opacities, keratitis, acute or chronic uveitis, glaucoma, or diseases of the optic nerve; (ii) systemic illnesses, e.g., diabetes mellitus, malignant tumors, systemic connective tissue disorders, chronic infectious diseases, or conditions following organ or tissue transplantation; (iii) ungraded color fundus photographs resulting from obscuration of the ocular optic system or because of fundus photograph quality.

Based on OCT and BCVA clinical data, the patients were divided into two groups: responders and non-responders. BVCA was evaluated before therapy, at three months and at six months after the first anti-VEGF intravitreal injection. Impairment of BCVA was considered when patients loss one or more signs from the chart. Insufficient effect in structural changes was considered when according to the OCT there was an increase in CRT of 100 μM after six months from the first injection, or persistent macular oedema.

The non-responder group was defined as patients who had two or more signs of these: reduction in BCVA, an increase in CRT of 100 μM after six months from the first injection, compared to the baseline, and persistent macular oedema. The responder group was defined as patients who had less than two signs.

2.3. DNA Extraction and Genotyping

DNA extraction and genotyping was described in our previous research [27,28]. The DNA extraction and analysis of ABCA1 (rs1883025) and CYP4F2 (rs2108622) polymorphisms were carried out at the laboratory Ophthalmology at the Institute of Neuroscience of LUHS. DNA was extracted from 200 μL venous blood (white blood cells) using a DNA purification kit based on the silica-based membrane technology utilizing a genomic DNA extraction kit (GeneJET Genomic DNA Purification Kit, K072, Thermo Fisher Scientific Inc., Vilnius, Lithuania), according to the manufacturer’s recommendations.

The genotyping of single-nucleotide polymorphisms (SNPs) of ABCA1 and CYP4F2 were determined using TaqMan^® Genotyping assays (Thermo Fisher Scientific Inc., Foster city, CA, USA): rs1883025; assay ID C___2959486_10) and rs2108622; assay ID C__16179493_40 was carried out using the real-time polymerase chain reaction (RT-PCR) method.

Appropriate real-time PCR mixtures were prepared for determining selected SNPs according to the manufacturer’s recommendations.

A PCR reaction mixture (9 μL) was poured into the 72 wells of the Rotor-Disc, and then 1 μL of matrix DNA of the samples (~10 ng) and 1 μL of a negative control (−K) were added.

The genotyping was performed using a Rotor-Gene Q real-time PCR quantification system (Qiagen, Hilden, Germany). The Allelic Discrimination program was used during the real-time PCR. Then, the assay was continued following the manufacturer’s manual (www.qiagen.com, Rotor-Gene Q User Manual, accessed on 7 July 2021). After that, the Allelic Discrimination program was completed, and the genotyping results were received. The program determined the individual genotypes according to different detectors’ fluorescence intensity rate (VIC and FAM dyes).

2.4. Statistical Analysis

The SPSS/W 20.0 software (Statistical Package for the Social Sciences for Windows, Inc., Chicago, IL, USA) was used for statistical analysis. The data are presented as absolute numbers with percentages in brackets, median values, and minimum (min.) and maximum (max.) or interquartile range (IQR).

Hardy-Weinberg analysis was performed to compare the observed and expected frequencies of rs1883025 and rs2108622 using the χ² test in all groups. The distribution of the rs1883025 and rs2108622 single-nucleotide polymorphism (SNP) in the AMD and control groups was compared using the χ² test or the Fisher exact test.

Differences were considered statistically significant when p < 0.05.

3. Results

A total of 104 patients with eAMD were included in the study according to the subject inclusion and exclusion criteria. The control group was formed of 201 persons. There were 66.7% (n = 134) of women in the control group and 68.3% (n = 71) in the eAMD group.

The genotyping rs1883025 was performed in patients with eAMD and the control group subjects. The results of rs2108622 from our earlier study are presented in Table 2 [27] and results of rs1883025 are presented in Table 3. The distribution of the analyzed rs2108622 and rs1883025 genotypes and allele frequencies in patients with eAMD and the control group subjects matched the Hardy-Weinberg equilibrium. SNPs analysis in the overall study group did not reveal any differences in the genotype distributions between patients with eAMD and control group subjects.

Based on their response to treatment, 104 patients with eAMD were classified into responder (n = 86) and non-responder groups (n = 18).

Comparison of the rs1883025 genotype frequency between the responder and non-responder groups did not show statistically significant differences, but the T allele was statistically significantly more frequent in the non-responder than in the responder group (41.7% vs. 21.1%; p = 0.009).

Comparing the rs2108622 genotype distributions between the responder and non-responder groups did not show statistically significant differences (Table 4 and Table 5).

The comparison between the responder and non-responder group is shown in Table 6. The mean CRT was not significantly different between the two groups (p > 0.05), though the mean BCVA at baseline was statistically significantly worse in the responder group than in non-responder (0.30 (0.25) vs. 0.40 (0.48), p = 0.028). However, at six months after the first injection, an improved mean BCVA compared to the corresponding baseline measurement was observed in the responder group, while in the non-responder group the mean BCVA after six months was worse (0.35 (0.28) vs. 0.3 (0.38), respectively; p = 0.091) (Table 6).

The mean BCVA, obtained at baseline and at three, six, and twelve months from the first intravitreal injection of anti-VEGF, and CRT, obtained at baseline and after three and six months, were compared between the ABCA1 and CYP450 genotypes. Besides, changes in BCVA and CRT measurements at observed time points were evaluated according to the genotypes.

The comparison of CRT and BCVA between the rs1883025 genotypes did not show statistically significant differences (Table 7).

The comparison between the rs2108622 genotypes revealed statistically significant differences: CRT was thicker for the CC carriers than for those with CT and TT genotypes (p = 0.030) (Table 8).

4. Discussion

Our study investigated ABCA1 rs1883025 and CYP450 rs2108622 polymorphisms in eAMD patients treated with anti-VEGF injections. In this prospective study, we appreciated BCVA, and also investigated structural changes in the retina by measuring CRT before and after treatment. We investigated the association of ABCA1 rs1883025 and CYP4F2 rs2108622 with the improvement of VA in response to eAMD treatment, from both a functional (BCVA) and structural (CRT) aspect.

After thorough statistical analysis, we found statistically significant differences in ABCA1 rs1883025 allele distribution between the responder and non-responder groups. The rs1883025 T allele was more frequent in the non-responder group than in the responder group (41.7% vs. 21.1%, respectively; p = 0.009). However, there were no statistically significant differences of structural and functional changes between the rs1883025 genotypes.

The comparison of CRT and BCVA between the rs2108622 genotypes revealed statistically significant differences: CRT was thicker for the CC carriers than for those with CT and TT genotypes (p = 0.030). Comparing the rs2108622 genotypes and alleles between the responder and non-responder groups we did not find statistically significant differences.

Novelty of our study is the investigation of the associations between SNPs in eAMD patients and eAMD treatment based on structural and functional changes. There are almost no studies including all of these factors and no studies with these gene polymorphisms. We compared our data with similar studies. Many genetic variants in genes regulating lipid metabolism and transfer among lipoproteins play a role in AMD development [29,30]. Retinal pigment epithelial (RPE) cells express components that are necessary for lipoprotein ingestion, cholesterol synthesis, lipoprotein synthesis, and secretion, as well as reverse cholesterol transport (RCT) [11,31,32]. Also, ocular production of lipoproteins is the primary source of lipoproteins found in drusen [33]. Drusen consist of polar lipids, such as un-esterified (free) cholesterol (UC) and phosphatidylcholine (PC), neutral lipids, such as cholesteryl esters (CEs), and several lipid-binding proteins (apolipoproteins) [15].

Fritsche LG et al. have analyzed many genes association with AMD and found that several genes, which are involved in the generation and remodelling of high-density lipoproteins (HDLs), namely ATP-binding cassette transporter A1 (ABCA1), apolipoprotein E (APOE), cholesteryl ester transfer protein (CETP), and hepatic lipase C (LIPC), are also linked to AMD [30].

In this context, one of genes we studied was ABCA1. It encodes a transporter which transports lipids through the membrane. That generates HDLs together with its partner ABCG1. Both transporters use ATP to flip lipids, mainly UC and phospholipids (PLs), but also sphingomyelins (SMs) and oxysterols, from the inner leaflet of the plasma membrane to extracellular lipophilic acceptors such as apolipoproteins or nascent HDLs [34]. Federica Storti et al. have investigated mouse RPE survival in vivo and determined a relevant part of the ABCA1/ABCG1 lipid efflux pathway, suggesting that the pathology of AMD is related with an impaired lipid metabolism via ABCA1 [35].

Yu Y et al. have evaluated fundus photography of 3066 subjects, including control group (221), intermediate drusen group (814), large drusen group (949) and patients with advanced AMD (1082). They have found that LIPC and ABCA1 genes are associated with intermediate, large drusen, and advanced AMD development [22]. Furthermore, Fanging et al. found that rs1883025 T allele was significantly related with development of AMD [36]. Some studies did not confirm these findings, but it could be based on ethnic differences [37].

CYP4F2 rs2108622 also linked to AMD. The CYP4F2 protein belongs to the P450 superfamily and is associated with the production of 20-HETE thus influencing endothelial dysfunction, vascular oxidative stress, and high peripheral vascular resistance [38]. As found in the earlier study, the CYP4F (1347C>T) T/T genotype was more frequent in males with eAMD compared to healthy males’ group (10.2% vs. 0.8%; p = 0.0052). Therefore CYP4F2 (1347C>T) T/T genotype was less frequent in eAMD females compared to healthy females (0.8% vs. 6.2%; p = 0.027) [27].

There are some studies similar to our present study. Kubicka-Trzaska A. et al. enrolled 106 patients with AMD and analyzed the correlation between Complement proteins genes (Y402H, E318D, and R102G) polymorphisms response to intravitreal anti-VEGF treatment in AMD patients. They have found that the CFH rs1061170 CC genotype may be related with AMD and negative response to anti-VEGF treatment [39]. Also, a meta-analysis showed that Y402H (rs1061170) might be related with neovascular AMD treatment response (especially to the anti-VEGF agents) [40]. Guohai et al. have done meta-analysis and confirmed the role of CFH Y402H in AMD treatment for Caucasians. For the CFH Y402H polymorphism, anti-VEGF treatment was much less effective in AMD patients with the CFH CC genotype [41].

Sanjeewa et al. research has shown that the APOE ε4 allele’s presence conferred significantly better visual functions after anti-VEGF treatment than did the ε2 allele [42]. Another study has shown that IL1RL1 rs1041973 might play a protective role against macular thickening in eAMD patients [28].

On the other hand, there are meta-analyses where genetic factors do not predict treatment efficiency. HTRA1 rs11200638 polymorphism was not associated with anti-VEGF treatment and eAMD better outcomes [43]. These findings suggest a personalized approach of anti-VEGF treatment for each patient based on their genetic results.

The study’s main advantage is that there are no other studies analysing associations between eAMD treatment and genes in the Baltic countries. Another advantage is the study structure: we divided patients into groups by treatment effectiveness based on functional and morphological changes.

In our opinion, the study should be replicated with a larger number of eAMD patients and controls. Furthermore, the subjects should be further examined and the extended-term visual function between their genotypes should be compared.

5. Conclusions

In conclusion, we found that the rs1883025 T allele plays a more significant role in non-responder eAMD patients compared to responder eAMD patients. The comparison of CRT and BCVA between the rs2108622 genotypes revealed statistically significant differences: CRT was thicker for the CC carriers than for those with CT and TT genotypes.

Author Contributions

Conceptualization, R.L.; Data curation, R.M.; Formal analysis, A.V.; Investigation, R.Z.; Methodology, R.M.; Resources, R.L.; Software, A.V.; Supervision, V.J.B. and R.L.; Visualization, R.M.; Writing—original draft, R.M. and A.V.; Writing—review & editing, R.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a grant (No. SEN-11/2015) from the Research Council of Lithuania.

Institutional Review Board Statement

This study was approved by Kaunas Regional Ethics Committee for Biomedical Research, approved code: Nr-BE-2-48, approved date: 6 September 2019.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data could be seen in this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. Demographic data of the study population.

	Group		p Value
	Exuxudative AMD (eAMD) n = 104	Control n = 201	p Value
Men, n (%)	33 (31.7%)	67 (33.3%)	0.777
Women, n (%)	71 (68.3%)	134 (66.7%)	0.777
Age median (min; max)	77 (61; 92)	75 (67; 94)	0.186

p value—significance level.

Table 2. Frequency of the CYP4F2 rs2108622 genotypes in the eAMD and control groups.

Genotype/ Allele	Frequency (%)
Genotype/ Allele	Control Group n (%) (n = 210)	p Value HWE	eAMD Group n (%) (n = 181)	p Value HWE	p Value
Genotype		0.854		0.187
C/C	112 (53.33)		102 (56.35)		χ²= 2.501 p = 0.286
T/C	82 (39.05)		72 (39.78)
T/T	16 (7.62)		7 (3.87)
Total	210 (100)		181 (100)
Allele
C	336 (74.67)		276 (76.25)		χ²= 0.269 p = 0.604
T	114 (25.33)		86 (23.75)		χ²= 0.269 p = 0.604

p value—significance level (alfa = 0.05), p value HWE—significance level (alfa = 0.05) by Hardy-Weinberg equilibrium.

Table 3. Frequency of the ABCA1 rs1883025 genotypes in the eAMD and control groups.

Genotype/ Allele	Frequency (%)
Genotype/ Allele	Control Group n (%) (n = 210)	p Value HWE	eAMD Group n (%) (n = 181)	p Value HWE	p Value
Genotype		0.436		0.961
C/C	125 (62.2)		59 (56.7)		χ² = 1.848 p = 0.397
T/C	63 (31.3)		34 (32.7)
T/T	13 (6.5)		11 (2.6)
Total	201 (100)		104 (100)
Allele
C	313 (77.9)		152 (73.1)		χ² = 1.731 p = 0.188
T	89 (22.1)		56 (26.9)		χ² = 1.731 p = 0.188

p value—significance level (alfa = 0.05), p value HWE—significance level (alfa = 0.05) by Hardy-Weinberg equilibrium.

Table 4. Frequency of the ABCA1 rs1883025 genotypes in the responder and non-responder groups.

Genotype/ Allele	Frequency (%)
Genotype/ Allele	Responders n(%) (n = 86)	Non-Responders n (%) (n = 18)	p Value
Genotype
C/C	53 (61.6)	6 (33.3)	χ² = 4.858 p = 0.088
T/C	25 (29.1)	9 (50)
T/T	5 (9.3)	3 (16.7)
Total	86 (100)	18 (100)
Allele
C	131 (78.9)	21 (58.3)	χ² = 6.729 p = 0.009
T	35 (21.1)	15 (41.7)	χ² = 6.729 p = 0.009