Literature DB >> 29335418

Gender-specific association of early age-related macular degeneration with systemic and genetic factors in a Japanese population.

Mariko Sasaki1,2,3, Sei Harada4, Yumiko Kawasaki5, Miki Watanabe6, Hidemi Ito7, Hideo Tanaka8, Ayano Takeuchi4, Kazuo Tsubota1, Toru Takebayashi4, Yuji Nishiwaki9, Ryo Kawasaki10.   

Abstract

The Tsuruoka Metabolomics Cohort Study included subjects aged 35-74 years from participants in annual health check-up programs in Tsuruoka, Japan. The gender-specific associations of early age-related macular degeneration (AMD) with systemic and genetic factors was assessed cross-sectionally. Of these, 3,988 subjects had fundus photographs of sufficient quality, and early AMD was present in 12.3% and 10.3% of men and women, respectively. In men, higher levels of high-density lipoprotein cholesterol and lower levels of triglycerides were associated with increased odds of having early AMD after adjusting for potential risk factors (for each 1 mmol/L increase, odds ratio [OR]: 1.61 and 0.78, 95% confidence interval [CI]: 1.17-2.23 and 0.64-0.96, respectively). In women, higher levels of total cholesterol and low-density lipoprotein cholesterol were associated with increased risk of having early AMD (OR: 1.21 and 1.26, 95% CI: 1.01-1.44 and 1.03-1.53, respectively). Sub-analysis demonstrated that women with ARMS2 A69S polymorphisms had a stronger risk for early AMD (OR: 3.25, 95% CI: 2.10-5.04) than men (OR: 1.65, 95% CI: 1.02-2.69). Differential associations of early AMD with both systemic and genetic factors by sex were demonstrated in a Japanese cohort, which suggests that disease process of early AMD could be different by sex.

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Year:  2018        PMID: 29335418      PMCID: PMC5768785          DOI: 10.1038/s41598-017-18487-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Age-related macular degeneration (AMD) is a leading cause of visual loss in elderly people worldwide[1], including in Japanese and other Asians[2]. Currently, Asians comprise 60% of the world’s population, and will eventually contribute the highest global prevalence of AMD by 2040[3]. Therefore, AMD is becoming an increasingly important healthcare problem in Asia. Racial and ethnic differences in AMD have been recognized between Western populations and Asians. For example, polypoidal choroidal vasculopathy (PCV) is more common in Asians[4], and wet AMD is more frequent in Japanese than in White population, whereas dry AMD are more frequent in White than in Japanese[5,6]. In addition, neovascular AMD is more common in women compared with men in Western populations[7], while conversely, Asian women have much lower prevalence of neovascular AMD, approximately 1/3, compared with Asian men[2]. Some studies have presented that differential risk associations exist for AMD between men and women. Among these risk factors are waist circumference[8], body mass index (BMI), systolic blood pressure (SBP), physical exercise[9], and coronary artery disease[10]. These studies suggest that AMD disease development might follow different processes in men and women. Further support arises from observations of an association between younger age at menarche and decreased risk for AMD[11] and a protective effect of hormone therapies against the development of AMD in women[11]. Risk factors for AMD have been extensively studied in Western populations, whereas fewer studies have been published on risk factors for AMD in Asians[2]. Moreover, little is known regarding gender-specific risk factors for AMD, especially in Asians. We therefore aimed to examine the cross-sectional associations of early AMD with systemic and genetic factors stratified by sex in a Japanese cohort, the Tsuruoka Metabolomics Cohort Study, with 4,010 participants.

Results

Among the 4,010 potential subjects, 22 were excluded owing to missing fundus images or suboptimal fundus image quality (i.e., poor focus, lashes, or uneven illumination) and the remaining 3,988 participants (99.5% of the 4,010 participants) (mean age: 62.4 ± 7.6 years) were included as subjects in this analysis (Fig. 1). There were 1,815 (45.5%) male and 2,173 (54.5%) female subjects. There were no differences in the factors between those included in the analyses and those excluded (data not shown). All three variants was in Hardy-Weinberg equilibrium (HWE) in the control group, early AMD and all subjects by sex (P > 0.05).
Figure 1

Flowchart describing subject selection from participants of the Tsuruoka Metabolomics Cohort Study.

Flowchart describing subject selection from participants of the Tsuruoka Metabolomics Cohort Study.

Age-specific prevalence of early and late AMD stratified by sex

Table 1 shows the prevalence of specific AMD lesions by age and sex. The prevalence of early AMD was 11.8% among participants aged 50 years and over. Early AMD was more frequent in men than in women (P = 0.030). Overall prevalence of large drusen and pigmentary abnormalities were 11.1% and 0.4%, respectively. Men were more likely to have large drusen and pigmentary abnormalities than women (P = 0.045 and 0.018, respectively). The prevalence of late AMD was 0.054% among those aged 50 years and over. The sub-types of late AMD were all neovascular AMD, and were prevalent only in men (n = 2).
Table 1

Age-specific prevalence of early and late AMD according to sex.

Large drusenPigmentary abnormalitiesEarly AMDLate AMDAny AMD
Men, no. (%)
−49, n = 16010 (6.3)1 (0.6)11 (6.9)0 (0)11 (6.9)
50–59, n = 38532 (8.3)0 (0)32 (8.3)0 (0)32 (8.3)
60–69, n = 955119 (12.5)9 (0.9)121 (12.7)1 (0.1)122 (12.8)
70–74, n = 31560 (19.0)2 (0.6)60 (19.0)1 (0.3)61 (19.4)
Total, n = 1815221 (12.2)12 (0.7)224 (12.3)2 (0.1)226 (12.5)
Women, no. (%)
−49, n = 1502 (1.3)0 (0)2 (1.3)0 (0)2 (1.3)
50–59, n = 40919 (4.6)0 (0)19 (4.6)0 (0)19 (4.6)
60–69, n = 1217130 (10.7)2 (0.2)130 (10.7)0 (0)130 (10.7)
70–74, n = 39772 (18.1)2 (0.5)72 (18.1)0 (0)72 (18.1)
Total, n = 2173223 (10.3)4 (0.2)223 (10.3)0 (0)223 (10.3)
Total, no (%)
−49, n = 31012 (3.9)1 (0.3)13 (4.2)0 (0)13 (4.2)
50–59, n = 79451 (6.4)0 (0)51 (6.4)0 (0)51 (6.4)
60–69, n = 2172249 (11.5)11 (0.5)251 (11.6)1 (0.05)252 (11.6)
70–74, n = 712132 (18.5)4 (0.6)132 (18.5)1 (0.1)113 (18.7)
Total, n = 3988444 (11.1)16 (0.4)447 (11.2)2 (0.05)449 (11.3)
Age-specific prevalence of early and late AMD according to sex.

Characteristics of the study participants with early AMD stratified by sex

Characteristics of participants with early AMD by sex are presented in Table 2. Participants with early AMD were significantly older than those without, both in men and women (P < 0.0001, for all). In men, participants with early AMD had significantly lower levels of triglycerides (TG; P < 0.01) and higher levels of high-density lipoprotein cholesterol (HDLC) compared with those without (P < 0.01). In women, participants with early AMD had higher levels of BMI (P = 0.010), and were likely to have hypertension, dyslipidemia, and use of lipid-lowering medication (P < 0.01, for all). Current/past smokers were less likely to have early AMD (P = 0.022), however, the smokers in women were younger than those in men (P < 0.0001).
Table 2

Basic characteristics according to sex.

VariablesMenWomen
Early AMD, n = 224Control, n = 1591P valueEarly AMD, n = 223Control, n = 1950P value
No. (%) or Mean ± SDNo. (%) or Mean ± SDNo. (%) or Mean ± SDNo. (%) or Mean ± SD
Age, y64.5 ± 7.161.7 ± 8.0 <0.0001 66.2 ± 5.362.2 ± 7.4 <0.0001
BMI, kg/m223.4 ± 2.823.7 ± 3.10.3123.4 ± 3.323.0 ± 3.4 0.010
Smoking history
  Current/past181 (80.8)1290 (81.1)0.9312 (5.4)198 (10.1) 0.022
  Never43 (19.2)301 (18.9)211 (94.6)1752 (89.9)
Hypertension121 (54.0)854 (53.7)0.92127 (57.0)892 (45.7) 0.0015
Dyslipidemia95 (42.4)800 (50.3) 0.027 143 (64.1)1055 (54.1) 0.0044
Diabetes22 (9.8)218 (13.7)0.1116 (7.2)139 (7.1)0.98
Antihypertension medication83 (37.1)515 (32.4)0.1678 (35.0)574 (29.4)0.087
Lipid-lowering medication28 (12.5)223 (14.0)0.5477 (34.5)500 (25.6) 0.0044
Total cholesterol, mmol/L202.2 ± 31.5205.3 ± 34.70.27217.9 ± 32.6214.7 ± 32.20.14
HDL cholesterol, mmol/L67.3 ± 16.163.4 ± 17.0 <0.0001 71.8 ± 16.372.2 ± 16.60.71
LDL cholesterol, mmol/L113.0 ± 29.3116.4 ± 30.90.17127.2 ± 31.1123.6 ± 29.20.077
Triglyceride, mmol/L110.4 ± 60.6131.0 ± 97.8 0.0015 94.3 ± 41.594.9 ± 46.50.82

Significant values are in bold.

Basic characteristics according to sex. Significant values are in bold.

Associated factors of early AMD stratified by sex

Table 3 shows associations of early AMD by sex. After adjusting for age, in men, higher levels of HDLC were associated with an increased likelihood of the presence of early AMD (for each 1 mmol/L increase, odds ratio [OR]: 1.60, 95% confidence intervals [CI]: 1.18–2.16), whereas higher levels of TG were associated with a reduced likelihood of the presence of early AMD (for each 1 mmol/L increase, OR: 0.77, 95% CI: 0.63–0.94) (Table 3, Model 1). In women, higher levels of low-density lipoprotein cholesterol (LDLC) were associated with an increased likelihood of the presence of early AMD (for each 1 mmol/L increase, OR: 1.21, 95% CI: 1.01–1.46) (Table 3, Model 1).
Table 3

Logistic regression analysis of factors for early AMD according to sex.

VariablesMenWomen
Model 1Model 2Model 1Model 2
Odds95% CIP-valueOdds95% CIP-valueOdds95% CIP-valueOdds95% CIP-value
Age, per 1 year 1.05 1.03–1.08 <0.0001 1.06 1.03–1.08 <0.0001 1.10 1.08–1.13 <0.0001 1.10 1.07–1.13 <0.0001
BMI, per 1 kg/m20.980.93–1.030.411.000.95–1.050.930.990.94–1.040.151.030.981–1.070.24
Smoking history,1.090.76–1.560.651.130.78–1.620.530.850.46–1.580.610.840.45–1.560.58
Current/past vs Never
Hypertension0.880.66–1.170.370.930.69–1.250.591.210.90–1.610.201.150.85–1.5450.37
Dyslipidemia0.770.58–1.270.0750.800.60–1.080.141.310.98–1.750.0711.280.95–1.710.10
Diabetes0.630.39–1.000.0500.660.41–1.060.0800.790.46–1.360.400.730.42–1.260.25
Total cholesterol, per 1 mmol/L0.950.81–1.120.570.950.80–1.120.501.170.98–1.380.078 1.21 1.01–1.44 0.034
HDL cholesterol, per 1 mmol/L 1.60 1.18–2.16 0.0026 1.61 1.17–2.23 0.0043 1.010.73–1.410.941.080.76–1.530.64
LDL cholesterol, per 1 mmol/L0.910.76–1.090.280.890.74–1.070.22 1.21 1.01–1.46 0.043 1.26 1.03–1.53 0.021
Triglyceride, per 1 mmol/L 0.77 0.63–0.94 0.010 0.78 0.64–0.96 0.019 0.940.71–1.240.640.900.67–1.210.44

HDL: high-density lipoprotein, LDL: low-density lipoprotein; Significant values are in bold. Model 1: Adjusted for age. Model 2: For serum lipid: adjusted for age, BMI, smoking history, hypertension, diabetes, and lipid-lowering medication. For the others: adjusted for age, BMI, smoking history, hypertension, dyslipidemia, and diabetes.

Logistic regression analysis of factors for early AMD according to sex. HDL: high-density lipoprotein, LDL: low-density lipoprotein; Significant values are in bold. Model 1: Adjusted for age. Model 2: For serum lipid: adjusted for age, BMI, smoking history, hypertension, diabetes, and lipid-lowering medication. For the others: adjusted for age, BMI, smoking history, hypertension, dyslipidemia, and diabetes. Moreover, after adjusting for age, BMI, smoking history, hypertension, diabetes, and lipid-lowering medication, in men, higher levels of HDLC and lower levels of TG remained to be associated with an increased likelihood of the presence of early AMD (Table 3, Model 2). In women, higher levels of LDLC remained to be associated with an increased likelihood of the presence of early AMD. Moreover, each 1 mmol/L increase in total cholesterol (TC) was associated with 1.21 times the increased likelihood of the presence of early AMD (95% CI: 1.01–1.44; Table 3). Finally, Table 4 shows genetic characteristics by sex. In men, ARMS2 A69S TT genotype was found in 16.7% and associated with increased odds of early AMD (OR: 1.65, 95% CI: 1.02–2.69), while CFH I62V TT genotype was found in 17.8% of men and not associated with the risk (OR: 1.43, 95% CI: 0.88–2.32). In women, ARMS2 A69S TT and CFH I62V TT genotypes were more likely to be present than in men in 27.1% and 25.4% respectively, which had higher odds of early AMD than in men (OR: 3.25 and 2.04, 95%CI: 2.10–5.04 and 1.33–3.14, respectively). An association between the CFH Y402H variant and AMD has not been detected in this study (data not shown).
Table 4

Genetic risk for early AMD according to sex.

GenotypePrevalence (%)MenPrevalence (%)Women
Control, n = 1236Early AMD, n = 174Control, n = 1548Early AMD, n = 181
No. (%)No. (%)Odds (95% CI)P-valueNo. (%)No. (%)Odds (95% CI)P-value
rs10490924/ARMS2
  GG10.7500 (40.5)60 (34.5)1 (reference)7.4604 (39.0)48 (26.5)1 (reference)
  TG12.6589 (47.7)85 (48.8)1.21 (0.85–1.72)0.71610.0753 (48.6)84 (46.4)1.38 (0.95–2.01)0.0979
  TT16.5147 (11.9)29 (16.7)1.65 (1.02–2.69)0.06920.4191 (12.3)49 (27.1) 3.25 (2.10–5.04) <0.0001
rs800292/CFH I62V
  CC9.9456 (36.9)50 (28.7)1 (reference)8.5559 (36.1)52 (28.7)1 (reference)
  CT13.8582 (47.1)93 (53.5)1.45 (1.01–2.1)0.24259.8760 (49.1)83 (45.9)1.12 (0.77–1.61)0.126
  TT13.5198 (16.0)31 (17.8)1.43 (0.88–2.32)0.429916.7229 (14.8)46 (25.4) 2.04 (1.33–3.14) 0.0005

Adjusted for age; Significant values are in bold.

Genetic risk for early AMD according to sex. Adjusted for age; Significant values are in bold.

Discussion

We found differential associations of early AMD with systemic and genetic factors among women compared with men. In men, higher levels of HDLC and lower levels of TG were associated with an increased likelihood of the presence of early AMD. In women, higher levels of TC and LDLC were associated with an increased likelihood of the presence of early AMD. Further, having the CFH I62V and ARMS2 A69S polymorphisms, known polymorphisms for AMD in Asians, might be higher risk for early AMD in women than in men. Soft drusen is well known to be a main constituent of early AMD and an early sign of AMD. Retinal Pigment Epithelium (RPE) persistently secretes apoB/apoE-containing lipoprotein, which accumulates on Bruch membrane’s surface[12]. These lipoproteins are oxidized or modified in many ways, associated with the formation of soft drusen[13]. The cholesterol-related genes were found to be associated with AMD in genome-wide association studies (GWAS), which suggests that these variants may play important roles in early AMD[14,15]. AMD can be compared with atherosclerotic cardiovascular disease (CVD) in many ways. For example, by-products of lipoproteins found in atherosclerotic plaque[16] have also been observed in drusen[12]. HDL transports cholesterol from peripheral tissues to liver, which causes plaque regression and improved endothelial function[17]. Thus, HDL has been known to protect from coronary heart disease[18]. However, in a meta-analysis[19] and other epidemiological studies[20,21], high level of HDLC has been reported to result in a significant increase of AMD risk. These findings, and ours as well, are likely to appear inconsistent with known HDL functions. One should consider the possibility that cholesteryl ester transfer protein (CETP) could be involved in this pathological process. CETP is an enzyme that facilitates the exchange of mainly cholesteryl acylester (CE) and TG among lipoproteins such as LDL and HDL[22]. Recently, Burgess S, et al.[23] have indicated that HDLC was a causal risk factor for AMD using Mendelian randomization, and suggests that CETP variants could cause AMD through increasing HDLC. Further, CETP (D442G) was shown to increase AMD risk by 1.70 times in the genome-wide association studies (GWAS)[24], which is East Asian-specific and highly present in 6–7% of the Japanese[19,25]. That is also known to impair CETP function and increase dysfunctional HDL[25,26], and consequently could cause an accumulation of peroxidized lipids on Bruch’s membrane and eventually form drusen[12]. Meanwhile, CETP levels were reported to be higher in women as compared with men[27]. These observations might be related with our gender-specific findings. Conversely, higher levels of TG were associated with a reduced likelihood of the presence of early AMD in men, which is consistent with some other epidemiological studies[28,29] and the meta-analysis mentioned above[19]. Since CETP variants were reported to increase HDLC and decrease TG, it would be a possibility of reverse causation[23]. The association between LDLC levels and risk of early AMD is controversial[30,31]; however, the association between LDLC levels and early AMD in the women of our study population is consistent with some previous studies[30] and known LDLC roles in atherosclerosis. In the retina, there are many genes involved in the biosynthesis and uptake of cholesterol from systemic circulation to preserve cholesterol homeostasis and retinal function[32], and LDL seems to be the major carrier of cholesterol to the retina[32]. Also, estrogen has antioxidant properties and anti-inflammatory effects that protect against CVD, atherosclerosis, and lipid metabolism, as well as AMD[33]. Among Japanese, LDLC levels are lower in women than in men until their 40’s, and then gradually increase and surpass those in men[34]. Large amounts of cholesterol might overwhelm the cholesterol-regulating system in the retina among the elderly women. Moreover, the increase of CETP levels was suggested to be associated with enhanced peripheral cholesterol transport via low density lipoprotein, etc[35]. It may expand the gender difference through an increase of CETP levels in women. Regarding genetic factors, our findings as well as previous studies[35,36] confirmed that the ARMS2 A69S polymorphisms are associated with early AMD in Japanese. An association between the CFH Y402H variant and AMD, which has been reported in many Western countries[37], has not been detected in this study as the previous Asian studies[38-40]. It is not surprising since the risk allele frequency in Asians was much lower than in White population[41], although the meta-analysis proved the association between late AMD and the CFH Y402H variant in Asians[41]. Also, we found the association between early AMD and the CFH I62V variant in women, however, the direction of the risk allele was inverse to some previous studies of early and late AMD[35,42]. Adams M, et al.[43] reported associations between early AMD and single nucleotide polymorphisms (SNPs) were strongly modified by age, and an inverse association between the high-risk homozygote (CC) for CFH I62V and early AMD was observed in younger age, and a positive association was only seen aged >75. In our study, all participants were aged <75, which could partly explain the association we observed. Furthermore, the CFH I62V variant[39,40,44] and risk alleles both in ARMS2 and CFH I62V were more frequently seen in women than in men and higher risk of early AMD for women than for men. These results suggest that known genetic polymorphisms for AMD in Asians could be associated with higher risk of early AMD in women than in men, and different risk factors from women such as CETP polymorphism might contribute to the disease process in men. Strengths of this study included accurate measurements of blood samples with exact fasting state, as well as the use of standardized grading protocols to define AMD by trained graders. The validated questionnaires enabled detailed analysis of the associations between early AMD and serum lipid levels using information on medical histories. We also recognize several limitations with our study. First, the study was a cross-sectional observation, without temporal information of the associations. Second, only one non-mydriatic fundus photograph was taken from a single eye of each participant examined in the study. This could have led to an underestimation of the AMD prevalence per person. Third, because the participants with late AMD were few due to their age (35–74 years old) or potential healthy screenee bias, we could not analyze the association between late AMD and factors. Fourth, participant rate was relatively low especially under 60 years old. The distribution of the age of participants in the current study is not so compatible with that of residents in Tsuruoka city. Fifth, the lipid metabolism-associated genes were not analyzed. Finally, there could be potentially remained confounding associations caused by unmeasured potential confounders such as life styles including nutritional intake[45,46], therefore future studies to validate these findings are needed. In conclusion, we analyzed a Japanese cohort with 3988 participants and showed differential associations of early AMD with systemic and genetic factors among women compared with men. These findings suggest that disease process of early AMD could be different by sex. Although prospective longitudinal studies are warranted to confirm this observation, if proven, these findings would contribute to the understanding of the mechanisms of AMD pathology, and reveal interventional options to prevent or slow disease incidence or progression.

Methods

This study was conducted in accordance with the Ethical Guidelines for Medical and Health Research Involving Human Subjects, Japan, and approved by the Medical Ethics Committees of the School of Medicine, Keio University, Tokyo, Japan (Approval No. 20110264) and the School of Medicine, Toho University, Tokyo, Japan (Approval No. 26028). Written informed consent was obtained from all individual participants included in the study.

Study population

This study was based on data derived from participants of the Tsuruoka Metabolomics Cohort Study, details of which have been previously described[47]. In brief, between April 2012 and March 2015, 71,868 residents subscribed in the national health insurance in Tsuruoka, Japan, aged 35–74 years were identified and invited to the annual municipal health check-up programs who included fundus photographs. Accordingly, 11,001 subjects were enrolled from the participants (participant rate, 15.3%). In this analysis, a total of 4,010 individuals who participated in the baseline survey between April 2012 and March 2013 were included (Fig. 1).

Data and sample collection

Each participant underwent a comprehensive assessment including a range of clinical, biochemical, and anthropometric measurements, and lifestyle factors collected from validated questionnaires. All data and samples were obtained during annual health check-ups. Non-stereoscopic fundus photographs of one eye (generally the right eye) were obtained using a 45° non-mydriatic fundus camera (TRC-NW200 [TOPCON Corp., Tokyo, Japan]) without using pharmacological dilating agents. Images were centered on the optic disc and macula. If the fundus photography of the right eye was not possible because of media opacity or other reasons, photographs of the left eye were taken (n = 126). BP was measured twice after participants were seated comfortably for at least 5 minutes. The mean of two measures of systolic and diastolic BP was used for analysis. BMI was calculated as weight (kilograms) divided by the square of height (meters). Blood samples were collected in the morning between 8:30 am and 10:30 am after overnight fasting to avoid variation due to fasting state and circadian rhythm. Blood glucose, hemoglobin A1c (HbA1c, %), and lipids (TC, HDLC, LDLC and TG, mg/dL and mM/L) were measured. Serum lipid levels of the fasting blood samples were measured using an enzyme assay, which had been confirmed to be precise and valid for standardized testing by the Japan Medical Association[48]. The LDLC levels were calculated using the Friedenwald formula where plasma TG concentrations were less than or equal to 4.5 mM/L (400 mg/dL). 28 participants were excluded due to high concentrations of TG. Information regarding smoking habits and alcohol intake, and history of antihypertension, antidiabetic and lipid-lowering medications was obtained using a standardized self-administered questionnaire. Hypertension was defined as having systolic BP ≥140 mmHg, diastolic BP ≥90 mmHg[49], or a use of antihypertension medication. Diabetes was defined as having HbA1c (NGSP) ≥6.5%[50] or a use of antidiabetic medication. Dyslipidemia was defined as having LDLC ≥140 mg/dl, HDLC <40 mg/dl, TG ≥150 mg/dlor[51], or a use of lipid-lowering medication.

Grading of Fundus Photographs for Age-Related Macular Degeneration

A non-mydriatic fundus photograph of one eye of each participant was evaluated to determine whether quality was sufficient for grading of AMD lesions. These fundus photographs were evaluated at the reading center of Yamagata University (Principal Investigators: RK YK). Details of the AMD photograph grading followed protocols used for the Blue Mountain Eye Study (BMES), as described elsewhere[52]. In brief, a trained grader (YK) assessed photographs for AMD signs in masked fashion, following the modified Wisconsin Age-Related Maculopathy Grading System[53] protocol used in the BMES[52], with a super-vision by a senior researcher (RK) when uncertainties in the grading occurred. Early AMD was defined as the presence of a large drusen (soft distinct or soft indistinct drusen with a diameter >125 μm and/or RPE abnormality (hyperpigmentation or hypopigmentation) within the grid (a 3000-μm radius centered on the fovea), in the absence of late AMD[6,53]. Late AMD was defined as the presence of exudative AMD or geographic atrophy (GA). Exudative AMD was defined as the presence of subretinal or sub-RPE hemorrhage, RPE detachment, serous detachment of the sensory retina or subretinal fibrous scars[6]. Geographic atrophy was defined as sharply edged, roughly round, or oval areas of RPE loss, with clearly visible choroidal vessels[6].

Genotyping

Genomic DNA was extracted from the buffy coat fraction in accordance with standard procedures using a phenol-chloroform extraction method and checked for quality using Qubit (Life Technologies). Participants were tested for three major AMD-associated SNPs: ARMS2 A69S (rs10490924), CFH I62V (rs800292), and CFH Y402H (rs1061170) using SNP Type Assays (Fluidigm, San Francisco, CA, USA). The quality control of genotyping was assessed statistically using the Hardy-Weinberg test, and P values more than 0.05 were considered that genotype distributions were in HWE. 5% random-samples were retyped by two different examiners, and those were 100% matched.

Statistical Analysis

The age- and sex-specific prevalence of early AMD and late AMD was calculated, and the subjects were classified as having either early or late AMD if they had one sign of early or late AMD. Baseline characteristics were compiled for overall samples and also for subgroups stratified by sex. Differences in basic characteristics between sexes were assessed using Wilcoxon rank-sum test for continuous variables since they were not normally distributed, and χ2 test or Fisher’s exact test for categorical variables. Associations of early AMD were assessed using two multivariable logistic regression models. The first model was to determine associations between the presence of early AMD and serum lipid adjusting for age, BMI, smoking history, hypertension, diabetes, and lipid-lowering medication. The second model was to determine associations between the presence of early AMD and the other factors adjusting for age, BMI, smoking history, hypertension, dyslipidemia and diabetes. Associations between the presence of early AMD and genetic factors were assessed using multivariable logistic regression models adjusted for age. The associations were expressed as ORs with CIs. P values less than 0.05 were considered statistically significant. SAS version 9.4 for Windows (SAS Institute Inc., Cary, NC, USA) was used to perform all statistical analyses.
  52 in total

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5.  Disease stage-dependent accumulation of lipid and protein oxidation products in human atherosclerosis.

Authors:  Joanne M Upston; Xianwa Niu; Andrew J Brown; Ryuichi Mashima; Hongjie Wang; Revathy Senthilmohan; Anthony J Kettle; Roger T Dean; Roland Stocker
Journal:  Am J Pathol       Date:  2002-02       Impact factor: 4.307

Review 6.  Age and gender variations in age-related macular degeneration prevalence in populations of European ancestry: a meta-analysis.

Authors:  Alicja R Rudnicka; Zakariya Jarrar; Richard Wormald; Derek G Cook; Astrid Fletcher; Christopher G Owen
Journal:  Ophthalmology       Date:  2011-12-15       Impact factor: 12.079

Review 7.  Cholesterol and atherosclerosis: modulation by oestrogen.

Authors:  Matthias Barton
Journal:  Curr Opin Lipidol       Date:  2013-06       Impact factor: 4.776

8.  Cholesterol and age-related macular degeneration: is there a link?

Authors:  Redmer van Leeuwen; Caroline C W Klaver; Johannes R Vingerling; Albert Hofman; Cornelia M van Duijn; Bruno H Ch Stricker; Paulus T V M de Jong
Journal:  Am J Ophthalmol       Date:  2004-04       Impact factor: 5.258

9.  Coding and noncoding variants in the CFH gene and cigarette smoking influence the risk of age-related macular degeneration in a Japanese population.

Authors:  Keisuke Mori; Peter L Gehlbach; Sho Kabasawa; Izumi Kawasaki; Masataka Oosaki; Hiroyuki Iizuka; Shigehiro Katayama; Takuya Awata; Shin Yoneya
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-11       Impact factor: 4.799

10.  Early age-related maculopathy in the cardiovascular health study.

Authors:  Ronald Klein; Barbara E K Klein; Emily K Marino; Lewis H Kuller; Curt Furberg; Gregory L Burke; Larry D Hubbard
Journal:  Ophthalmology       Date:  2003-01       Impact factor: 12.079

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  11 in total

Review 1.  Dyslipidemia in age-related macular degeneration.

Authors:  Jonathan B Lin; Omar A Halawa; Deeba Husain; Joan W Miller; Demetrios G Vavvas
Journal:  Eye (Lond)       Date:  2022-01-11       Impact factor: 4.456

2.  Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry.

Authors:  Yoshiki Ishibashi; Sei Harada; Ayano Takeuchi; Miho Iida; Ayako Kurihara; Suzuka Kato; Kazuyo Kuwabara; Aya Hirata; Takuma Shibuki; Tomonori Okamura; Daisuke Sugiyama; Asako Sato; Kaori Amano; Akiyoshi Hirayama; Masahiro Sugimoto; Tomoyoshi Soga; Masaru Tomita; Toru Takebayashi
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

3.  IL-9 and IL-10 Single-Nucleotide Variants and Serum Levels in Age-Related Macular Degeneration in the Caucasian Population.

Authors:  Alvita Vilkeviciute; Dzastina Cebatoriene; Loresa Kriauciuniene; Reda Zemaitiene; Rasa Liutkeviciene
Journal:  Mediators Inflamm       Date:  2021-04-12       Impact factor: 4.711

Review 4.  Age-Related Macular Degeneration: What Do We Know So Far?

Authors:  Ho Hin Ma; Rasa Liutkevičienė
Journal:  Acta Med Litu       Date:  2021-01-18

5.  Sex Differences in RANTES (CCL5) in Patients With Intermediate Age-Related Macular Degeneration (AMD) and Controls With no AMD.

Authors:  Cheryl N Fonteh; Alan G Palestine; Brandie D Wagner; Jennifer L Patnaik; Marc T Mathias; Naresh Mandava; Rebecca Baldermann; Anne M Lynch
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.283

6.  Six-Year Incidence and Risk Factors of Age-Related Macular Degeneration in Singaporean Indians: The Singapore Indian Eye Study.

Authors:  Valencia Hui Xian Foo; Yasuo Yanagi; Quang Duc Nguyen; Charumathi Sabanayagam; Sing Hui Lim; Kumari Neelam; Jie Jin Wang; Paul Mitchell; Ching-Yu Cheng; Tien Yin Wong; Chui Ming Gemmy Cheung
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

7.  Whole-genome methylation profiling of the retinal pigment epithelium of individuals with age-related macular degeneration reveals differential methylation of the SKI, GTF2H4, and TNXB genes.

Authors:  Louise F Porter; Neil Saptarshi; Yongxiang Fang; Sonika Rathi; Anneke I den Hollander; Eiko K de Jong; Simon J Clark; Paul N Bishop; Timothy W Olsen; Triantafillos Liloglou; Venkata R M Chavali; Luminita Paraoan
Journal:  Clin Epigenetics       Date:  2019-01-14       Impact factor: 6.551

8.  Association of Serum Complement C1q and C3 Level with Age-Related Macular Degeneration in Women.

Authors:  Yingbo Ma; Xueqing Ding; Mingxi Shao; Yichao Qiu; Shengjie Li; Wenjun Cao; Gezhi Xu
Journal:  J Inflamm Res       Date:  2022-01-14

9.  Dietary Patterns and Their Associations with Intermediate Age-Related Macular Degeneration in a Japanese Population.

Authors:  Mariko Sasaki; Naoko Miyagawa; Sei Harada; Kazuo Tsubota; Toru Takebayashi; Yuji Nishiwaki; Ryo Kawasaki
Journal:  J Clin Med       Date:  2022-03-15       Impact factor: 4.241

10.  Association of the Estimated Coronary Artery Incidence Risk According to the Japan Atherosclerosis Society Guidelines 2017 with Cardio-Ankle Vascular Index.

Authors:  Mizuki Sata; Tomonori Okamura; Sei Harada; Daisuke Sugiyama; Kazuyo Kuwabara; Aya Hirata; Ayano Takeuchi; Miho Iida; Suzuka Kato; Minako Matsumoto; Ayako Kurihara; Toru Takebayashi
Journal:  J Atheroscler Thromb       Date:  2021-03-06       Impact factor: 4.928

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