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. 2021 Feb 2;2021:6620900. doi: 10.1155/2021/6620900

Targeted Gene Candidates for Treatment and Early Diagnosis of Age-Related Macular Degeneration

Emine Cinici 1, Ozge Caglar 2, Mehmet Enes Arslan 2, Nilay Dilekmen 3, Bahadır Utlu 4, Adil Mardinoglu 5,6,, Hasan Turkez 7
PMCID: PMC7872763  PMID: 33604378

Abstract

Age-related macular degeneration (AMD) is an eye disease that impairs the sharp and central vision need for daily activities. Recent advances in molecular biology research not only lead to a better understanding of the genetics and pathophysiology of AMD but also to the development of applications based on targeted gene expressions to treat the disease. Clarification of molecular pathways that causing to development and progression in dry and wet types of AMD needs comprehensive and comparative investigations in particular precious biopsies involving peripheral blood samples from the patients. Therefore, in this investigation, dry and wet types of AMD patients and healthy individuals were aimed at investigating in regard to targeted gene candidates by using gene expression analysis for the first time. 13 most potent candidate genes involved in neurodegeneration were selected via in silico approach and investigated through gene expression analysis to suggest new targets for disease therapy. For the analyses, 30 individuals (10 dry and 10 wet types AMD patients and 10 healthy people) were involved in the study. SYBR-Green based Real-Time PCR analysis was performed on isolated peripheral blood mononuclear cells (PBMCs) to analyze differentially expressed genes related to these cases. According to the investigations, only the CRP gene was found to be upregulated for both dry and wet disease types. When the downregulated genes were analyzed, it was found that 11 genes were commonly decreased for both dry and wet types in the aspect of expression pattern. From these genes, CFH, CX3CR1, FLT1, and TIMP3 were found to have the most downregulated gene expression properties for both diseases. From these results, it might be concluded that these common upregulated and downregulated genes could be used as targets for early diagnosis and treatment for AMD.

1. Introduction

Age-related macular degeneration (AMD) is a clinical condition that affects individuals aged 50 years and over and causes a progressive decrease in visual acuity by progressing with pigmentary and atrophic changes in the macula [1]. A neurodegenerative disease affecting the photoreceptor, retinal pigment epithelium (RPE), Bruch's membrane, and choriocapillaris in the macula is considered as the AMD disease. It is the most common cause of vision loss in people aged 65 and over in developed countries. Its frequency is 10% between the ages of 65 and 75 and 25% over the age of 75 [2]. It is estimated that the number of patients will be 288 million by 2040 [3]. Classically, there are two subgroups of AMD: (I) atrophic form (dry type) and (II) exudative form (wet type). Dry-type AMD is nonneovascular and typically leads to progressive degeneration of RPE and photoreceptors, resulting in chorioretinal and geographic atrophy. The exudative neovascular form is the wet type that results in central vision loss due to choroidal neovascularization directed to the subretinal macular region and the fastest progressing form of AMD. The accumulation of membranous wastes between the RPE and the Bruch's membrane is called drusen. Although drusen was previously defined only as lipofuscin accumulation, microscopic examinations performed with different immunohistochemistry dyes also found that it contains lipids, carbohydrates, and proteins such as amyloid, fibronectin, vitronectin, and complement factors [4].

There are genetic and environmental risk factors in the etiopathogenesis of AMD. The impacts of genetic and environmental factors in the development of AMD are 71% and 29%, respectively. Several genes have been thought to affect genetic risk [5]. In recent years, mutations or polymorphisms that can affect the risk of developing AMD have also been investigated. Therefore, research on the genetic component of AMD has been the focus of attention in the last 10 years. Although it is known that the disease occurs with the effect of multiple genetic factors, it is important to determine the genetic components so that the pathophysiology of the disease is understood in the light of the knowledge of these components and the connections between different diseases [6].

Genetic studies have shown that some genes may be associated with AMD. The number of studies aimed at determining the genomic regions affected during the pathogenesis of AMD is remarkable. The Retina International Database showed 16 genes associated with AMD. In this sense, the CFH gene is the first important gene that is associated with AMD. Complement factor B, C2, and C3 can also be listed among other important genes [7]. The experiments on pluripotent stem cells propounded AMPK, IGF1, MTOR, PPARGC1A, and SIRT1 genes were related to both aging stress response and AMD pathology [8]. Extensive researches pointed out that more genes might be associated with AMD. ABCA1 [9], ARMS2 [10], APOE [11, 12], CFH [13], CX3CR1 [14], CCR5 [15], ELOVL2 [16], HTRA1 [17], KCTD10 [18], TIMP3 [19], and VEGFA [20] are just a few of these genes reported being related to AMD. Besides, the methylation levels of certain genes including CDKN1C, EZR, IGF2, NOP56, and SLC2A1 were altered in blood tissues of patients with AMD [21]. Currently, there is some treatment options such as anti-VEGF for Wet-AMD but not available for Dry-AMD.

Elucidation of underlying molecular mechanisms that giving rise to development and progression in both types of AMD needs comprehensive and comparative investigations in particular precious biopsies such as peripheral blood, cerebrospinal fluid, RPE/choroid, and induced pluripotent stem cells-derived retinal pigment epithelium (iPSC-RPE) from the patients. Moreover, blood plasma or blood cells as well as retinal tissues of the patients are considered as favorable for deeply evaluation of differentially expressed molecular and genetic factors including genes, RNA types, and inflammatory elements and their association with AMD [22, 23]. In this context, molecular genetic assessments particularly expression profiling of associated or targeted genes are very crucial to explore novel curation or diagnosis strategies for both types of AMD. Further, investigating various genes and their relationship with the different types of this disease could serve in constituting target specific therapies. Therefore, in this study, dry and wet types of AMD patients and healthy individuals were aimed at investigating in regard to targeted gene candidates by using gene expression analysis for the first time. For this aim, 13 most potent candidate genes that associated with neurodegeneration were chosen via in silico approaches for analyzing gene-disease relationship to propose molecular diagnosis points and gene-targeted treatments against two types of AMD.

2. Methods

2.1. Patients

A total of 20 female patients with Dry-AMD (n = 10, 57.9 ± 6.1) and Wet-AMD (n = 10; 59.4 ± 7.7) who routinely applied to the eye disease clinic, participated in this study. Those with systemic diseases (diabetes mellitus, etc.) or ophthalmic diseases that may cause pathology in the retina were excluded from the study. As the control group, 10 nonsmoker females who came to the internal medicine clinic for routine control were included in the same age range (60.8 ± 6.9). Socio-demographic and clinical details were recorded by submitting the standard questionnaire to the participants at the time of recruitment. The current study was carried out with the approval of Ethics Committee of Atatürk University, Faculty of Medicine, with letter number 51 and dated 22.04.2009.

2.2. Isolation of Peripheral Blood Mononuclear Cells (PBMCs)

Blood samples were taken from 20 patients who applied to Atatürk University Ophthalmology Outpatient Clinic in the year of 2020. For PBMC isolation, 10 ml of blood was taken from the participants by using EDTA blood collection tubes. PBMC isolation was carried out via the Ficoll density method. Briefly, whole blood was added into the vial including PBS in a ratio of 1 : 1. Then, the blood diluted with PBS is slowly dropped into the tube with Ficoll. The tube was centrifuged at 18-24°C, 400 g for 30 minutes. After centrifugation, the PBMC layer was transferred to a new 50 ml vial so that the layers do not deteriorate. The PBMC fraction was washed by adding approximately 3 ml of PBS. The tube was centrifuged at 18-24°C for 10 min at 100 g. The supernatant was removed, and the pellet was washed again.

2.3. RNA Isolation and cDNA Synthesis

RNAs were extracted from PBMC using PureLink™ RNA Mini Kit (Invitrogene®, USA) procedure. To evaluated RNA purity and concentrations, a UV-visible spectrophotometer (NanoDrop®, USA) and bioanalyzer (Agilent Technologies, USA) was used. The samples were stored at -20°C until the next run. cDNA was synthesized from total RNA (QuantiTect Reverse Transcription Kit, Qiagen).

2.4. Real-Time PCR

The selected candidate gene expression profiles were investigated for two different disease groups by the Real-time PCR technique. cDNAs for Real-time PCR analysis were synthesized by using 100 ng RNA sample according to the manufacturer's instructions (QuantiTect SYBR® Green PCR Kits). Primer pairs used for all genes are given in Table 1. Real-time PCR was performed via the use of the SYBR-Green method on a Biorad iCycler iQ5 detection system [24].

Table 1.

Primer pairs used in real time PCR analysis.

Gene Forward primer Reverse primer Reference
BDNF 5-CAGGGGCATAGACAAAAG-3 5-CTTCCCCTTTTAATGGTC-3 [50]
CFP 5′-GGAACCACCTCAATGCAAAG-3 5′-AAGCTTCTGTTTGGCTGTCC-3′ [51]
CRP 5′TCGTATGCCACCAAGAGACAAGACA-3′ 5′-AACACTTCGCCTTGCACTTCATACTC-3′ [52]
CX3CR1 5′-GGGCCTGAGCCAAGCTAGAA-3′ 5′-ACAGCACCTTCCAGGGATGG-3′ [53]
FLT1A 5′-TCCCTTATGATGCCAGCAAGT-3′ 5′-CCAAAAGCCCCTCTTCCAA-3′ [54]
HIF1A 5′-TTCACCTGAGCCTAATAGTCC-3′ 5′-CAAGTCTAAATCTGTGTCCTG-3′ [55]
IGFBP3 5′-GGTGTCTGATCCCAAGTTCC-3′ 5′-CGGAGGAGAAGTTCTGGGTA-3 [56]
MAPK3 5′-TCAAGCCTTCCAACCTC-3′ 5′-GCAGCCCACAGACCAAA-3′ [57]
SOD1 5′-ACTGGTGGTCCATGAAAAAGC-3′ 5′-AACGACTTCCAGCGTTTCCT-3′ [58]
STAT3 5′-ACCCAACAGCCGCCGTAG-3′ 5′-CAGACTGGTTGTTTCCATTCAGAT-3′ [59]
VEGFA 5′-CTTGCCTTGCTGCTCTACC-3′ 5′-CACACAGGATGGCTTGAAG-3′ [60]
TIMP3 5′-TATGACTAGTAGCCCAGTGATGCTTGTGTTG-3′ 5′-TATGAAGCTTATTCAGGAAAATGGCGGCATGTG-3′ [61]
SERPING1 5′-ATTCTCCTACCCAGCCCACT-3 5′-GGCGTCACTGTTGTTGCTTA-3′ [62]

2.5. Statistical Analysis

Statistical analysis of data obtained from experiments was performed via the use of the GraphPad Prism® version 7.0 software. One-way ANOVA and Tukey analysis were used for comparison evaluations, and the criterion for statistical significance was p < 0.05.

3. Results

PBMCs were isolated from blood collected from donors with dry and wet AMD diseases and no symptoms. Real-time PCR analysis was performed in triplicate for each sample in order to investigate the expression profiles of the 13 determined genes which are related to neurodegeneration via bioinformatic analysis. Gene-disease relationship was investigated by using STRING v10 multiple protein comparison analysis [25]. Candidate 13 genes were compared each other and also 3 genes that was known to have direct relationship with AMD types. These genes were correlated with the previous reports recorded in literature on the fibulin-5 (FBLN5) [26], fibulin-6 (FBLN6) [27], and photoreceptor cell–specific ATP-binding cassette transporter (ABCR) genes [28]. 13 candidate genes and relationship with three known proteins are schematized in Figure 1. The fold changes (F.C.) of the expression profiles for the diseases with real-time PCR analysis are presented in Table 2. According to the analysis, only the CRP gene expression was found to be increased in each disease group. Also, it was found that the CX3CR1, FLT1, IGFBP3, MAPK3, SOD1, STAT3, VGEFA, TIMP3, and SERPING1 gene expressions were decreased in both Dry-AMD and Wet-AMD patients. On the other hand, the BDNF gene expression was observed to be upregulated for Dry-AMD but downregulated for Wet-AMD. Moreover, FLT1 and TIMP3 genes were investigated as the highest downregulated common genes for Dry-AMD and Wet-AMD (over a 5-fold change in gene expressions).

Figure 1.

Figure 1

Protein-protein interaction network analysis (STRING v10) of differentially expressed genes involved in neurodegeneration.

Table 2.

Gene expression analysis of Dry-AMD and Wet-AMD patients. Symbol () represents statistically significant increase or decrease in gene expression (F.C.≥2).

Disease Increased Decreased
Gene Fold change Gene Fold change
Dry-AMD BDNF 3.20 ± 0.22 CFH 15.35 ± 1.07
CR 5.06 ± 0.35 CX3CR1 5.27 ± 0.37
FLT1 7.50 ± 0.53
HIF1A 1.90 ± 0.13
IGFBP3 3.62 ± 0.25
MAPK3 5.25 ± 0.37
SOD1 3.63 ± 0.25
STAT3 3.26 ± 0.22
VGEFA 4.50 ± 0.32
TIMP3 8.19 ± 0.57
SERPING1 3.60 ± 0.25

Wet-AMD CRP 2.20 ± 0.15 BDNF 1.64 ± 0.11
CFH 8.15 ± 0.57
CX3CR1 8.35 ± 0.16
FLT1 5.66 ± 0.39
HIF1A 5.80 ± 0.41
IGFBP3 2.25 ± 0.15
MAPK3 4.10 ± 0.29
SOD1 9.45 ± 0.66
STAT3 7.10 ± 0.50
VEGFA 2.50 ± 0.18
TIMP3 5.40 ± 0.38
SERPING1 5.55 ± 0.39

4. Discussion

The genetic variants of complex diseases are difficult to understand because they involve the interactions of many factors at the same time and complicated states of other diseases [29, 30]. However, investigation of the mechanisms of human diseases has offered new perspectives for the diagnosis and treatment of diseases. Identifying new genetic factors that are effective in the pathogenesis of the disease also has pointed new ways to prevent the disease. Genetic factors have known to play an important role in the development of AMD [31]. Indeed, it was reported that the 57% of the genes responsible for the AMD risk in RPE, choroidal, and neural retinal cells were covered the most 25% of expressed genes, and 9% these genes were also covered the most 1% of expressed genes [32]. Alike, prominent differences in expression profiles of the genes were detected in RPE as compared to iris pigment epithelium [33]. Hence, gene expression studies may execute the hidden correlations between gene expression and genetic variation and conduce to introduction of targeted gene candidates that result in AMD pathologies [34]. Additionally, neurotrophic factors that regulate the proliferation, differentiation, and functioning of neurons represent a class of regulatory proteins of nerve tissue [35].

BDNF, brain-derived neurotrophic factor, is one of the neurotrophic factors involved in the survival and differentiation of retinal ganglion cells (RGCs) and axon and dendrite development in RGCs. In many studies, the expression of BDNF and its receptors have been shown in different eye structures such as outer and inner retinal structures [36]. Nonetheless, the role of expression profile by the gene, BDNF, on AMD is still unclear and needs to be further elucidated. In a previous study, serum BDNF levels were evaluated via specific enzyme-linked immunosorbent assay (ELISA), and it was reported that serum BDNF levels were significantly higher in AMD patients in comparison to healthy subjects. Based on the involvement of retina in nervous system, these observed alterations in BDNF levels would associated with the process of retinal degeneration in AMD [37]. In supporting this finding, our real-time results showed that gene expression of BDNF elevated in Dry-AMD patients. However, in this investigation, BDNF levels were found to be lowered in Wet-AMD patients in contrast to Dry-AMD patients. Engrossingly, a recent study assessed the BDNF levels in serum and aqueous humor using ELISA kits, and it was reported that BDNF levels were lowered in both Wet- and Dry-AMD patients compared to healthy individuals [36]. As a matter of fact, several conditions including stress, insomnia, fasting or caloric restriction, exercise, dietary supplements, and drugs were shown to alter serum BDNF levels [36, 3840]. At this point, unlike serum analysis, one of the crucial parts of present investigation was to reveal different inclination of BDNF gene expression in PBMCs of Wet-AMD and Dry-AMD patients when compared with healthy controls.

On the other hand, CRP, C-reactive protein, is accepted as a nonspecific serum biomarker, which is mostly synthesized in the liver and adipocytes. High levels of CRP are considered a risk for heart conditions, type II diabetes, and AMD [41]. High levels of CRP were also thought to be associated with the cell and tissue damage via entailing to uncontrolled complement activation. And, CRP was determined in relatively higher levels in RPE, Bruch's membrane, choriocapillaris, and choroidal stroma in Wet-AMD eyes using alkaline phosphatase immunohistochemistry assay [41]. In supporting to this immunohistochemical finding, our results of real-time analysis revealed that the CRP expressions were significantly in patients with both types of AMD. Besides, the observed elevation level of the CRP expression was higher in Dry-AMD patients than Wet-AMD patients.

The present results clearly revealed that the CFH, CX3CR1, FLT1, HIF1A, IGFBP3, MAPK3, SOD1, STAT3, VGEFA, TIMP3, and SERPING1 gene expressions were significantly decreased in both AMD types. The most prominent (>5 FC) decreases were observed in the expressions of CFH, CX3CR1, FLT1, and TIMP3 genes. In accordance to present findings, the complement factor H (CFH) knockout mice exhibited attenuated drusen deposition and led to thinning of Bruch's membrane. Again, insufficient CFH gene exhibited synergistic action with the increased CRP expression [41, 42].

Chemokines are signal molecules that provide the migration and adhesion stimuli for the wound or inflammation site. The association of deficiencies in CXC3 chemokine receptor 1 (CXC3R1) with different diseases has been executed. Although the presence of studies investigating the role of fractalkin/CXC3R1 signals in ocular tissue, its exact function is still controversial. A previous investigation proved that CXC3R1 deficiency decreased macrophage accumulation while severe neovascularization of the cornea [43]. Again, decreased expressions of CX3CR1 mRNA and related protein in macular area indicated that these genes could play a part in the development of AMD [44]. Interestingly, CX3CR1 positivity was not ascertained in photoreceptors or RPE cells in healthy donor eyes. Moreover, the invalidation of this gene was suggested to have association with the development of the exaggerated neovascularization which is the main outcome of Wet-AMD via inducing congregation of subretinal microglial cells [45]. In supporting this suggestion, our results indicate that the decreased level of the CX3CR1 expression in Wet-AMD patients was demonstrably lower than Dry-AMD patients.

The results of present real-time analysis obviously introduced that the expressions of the vascular endothelial growth factor receptor 1 (FLT1) and tissue inhibitor of metalloproteinases 3 (TIMP3) genes were decreased in patients with both AMD types distinctly. There is no available molecular genetic data for supporting our findings. But a limited promotive biochemical data was recorded. Nominately, Wet-AMD patients were determined to have lower serum FLT1 levels (sFLT1) than healthy people involved in the study [46]. The conflicting results by TIMP3 on AMD pathogenesis were reported in literature. Serum TIMP-3 levels were found to significantly elevate in AMD patients when compared to healthy controls [47]. In a previous study, it was propounded that mean serum levels of TIMP3 were not significantly altered among AMD and non-AMD cases [48]. Conversely, Wet-AMD patients had significantly lower serum TIMP-3 levels than healthy subjects [49].

Nowadays, there is no effective cure for treating AMD or preventing/slowing strategies towards AMD progression. Additionally, in despite of extensive efforts, no discriminating and reliable prognostic biomarkers could be identified. The findings of this investigation clearly asserted that (I) BDNF levels were lowered in Wet-AMD but not in Dry-AMD patients, (II) the CRP expression was elevated in Dry-AMD patients, (III) the CX3CR1 expression in Wet-AMD patients was demonstrably lower than Dry-AMD patients, and (IV) mainly CFH, CX3CR1, FLT1, and TIMP3 gene levels alongside HIF1A, IGFBP3, MAPK3, SOD1, STAT3, VGEFA, TIMP3, and SERPING1 gene levels were significantly reduced in both AMD types. The determined comparative gene expression alterations have potentials to clarify a part of the mechanisms underlying AMD pathogenesis, to serve effective biomonitoring of responses to the current therapies and to exhibit promising drug development targets.

Data Availability

The data are available on request from Dr. Emine Cinici. E-mail: emine.cinici@atauni.edu.tr.

Conflicts of Interest

The authors declare no conflict of interest, financial, or otherwise.

Authors' Contributions

H.T, A.M, and E.C. contributed to the conceptualization. Ö.C. and M.E.A. contributed to the experiments. Ö.C, M.E.A, N.D., and B.U. contributed to the writing—original draft preparation. H.T., E.C., and M.E.A. contributed to the writing—review and editing. All authors have read and agreed to the published version of the manuscript.

References

  • 1.Haab O. II. Die Traumatische Durchlöcherung der·Macula Lutea. Ophthalmologica. 1900;3(2):113–126. doi: 10.1159/000278125. [DOI] [Google Scholar]
  • 2.Akkoyun İ. Yaşa Bağlı Makula Dejenerasyonu Sınıflandırma ve Patogenez. Türk Oftalmoloji Gazetesi. 2014;44(6):476–480. doi: 10.4274/tjo.80008. [DOI] [Google Scholar]
  • 3.Wong W. L., Su X., Li X., et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. The Lancet Global Health. 2014;2(2):e106–e116. doi: 10.1016/S2214-109X(13)70145-1. [DOI] [PubMed] [Google Scholar]
  • 4.Turgut B., Kaya M., Celiker U. Intravitreal pegaptanib combined with photodynamic therapy in age-related macular degeneration. [Turkish] Yasa Bagli Makula Dejeneresansinda Fotodinamik Tedavi Ile Kombine Intravitreal Pegaptanib. Retina Vitreus. 2010;18(3) [Google Scholar]
  • 5.Seddon J. M., Ajani U. A., Mitchell B. D. Familial aggregation of age-related maculopathy. American Journal of Ophthalmology. 1997;123(2):199–206. doi: 10.1016/S0002-9394(14)71036-0. [DOI] [PubMed] [Google Scholar]
  • 6.Klaver C. C. W., Wolfs R. C. W., Assink J. J. M., Van Duijn C. M., Hofman A., De Jong P. T. V. M. Genetic risk of age-related maculopathy: population-based familial aggregation study. Archives of Ophthalmology. 1998;116(12):1646–1651. doi: 10.1001/archopht.116.12.1646. [DOI] [PubMed] [Google Scholar]
  • 7.Francis P. J., Hamon S. C., Ott J., Weleber R. G., Klein M. L. Polymorphisms in C2, CFB and C3 are associated with progression to advanced age related macular degeneration associated with visual loss. Journal of Medical Genetics. 2009;46(5):300–307. doi: 10.1136/jmg.2008.062737. [DOI] [PubMed] [Google Scholar]
  • 8.Blasiak J., Pawlowska E., Sobczuk A., Szczepanska J., Kaarniranta K. The aging stress response and its implication for AMD pathogenesis. International Journal of Molecular Sciences. 2020;21(22):p. 8840. doi: 10.3390/ijms21228840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yu Y., Reynolds R., Fagerness J., Rosner B., Daly M. J., Seddon J. M. Association of variants in the LIPC and ABCA1 genes with intermediate and large drusen and advanced age-related macular degeneration. Investigative Ophthalmology and Visual Science. 2011;52(7):4663–4670. doi: 10.1167/iovs.10-7070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Jakobsdottir J., Conley Y. P., Weeks D. E., Mah T. S., Ferrell R. E., Gorin M. B. Susceptibility genes for age-related maculopathy on chromosome 10q26. American Journal of Human Genetics. 2005;77(3):389–407. doi: 10.1086/444437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fritsche L. G., Chen W., Schu M., et al. Seven new loci associated with age-related macular degeneration. Nature Genetics. 2013;45(4):433–439. doi: 10.1038/ng.2578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sun Y., Song R., Ai Y., et al. APOE2 promotes the development and progression of subretinal neovascularization in age-related macular degeneration via MAPKs signaling pathway. Saudi Journal of Biological Sciences. 2020;27(10):2770–2777. doi: 10.1016/j.sjbs.2020.06.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Fagerness J. A., Maller J. B., Neale B. M., Reynolds R. C., Daly M. J., Seddon J. M. Variation near complement factor I is associated with risk of advanced AMD. European Journal of Human Genetics. 2009;17(1):100–104. doi: 10.1038/ejhg.2008.140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ding X., Patel M., Chan C. C. Molecular pathology of age-related macular degeneration. Progress in Retinal and Eye Research. 2009;28(1):1–18. doi: 10.1016/j.preteyeres.2008.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Krogh Nielsen M., Subhi Y., Molbech C. R., Falk M. K., Nissen M. H., Sørensen T. L. Chemokine profile and the alterations in CCR5-CCL5 axis in geographic atrophy secondary to age-related macular degeneration. Investigative Ophthalmology & Visual Science. 2020;61(4):p. 28. doi: 10.1167/iovs.61.4.28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Chen D., Chao D. L., Rocha L., et al. The lipid elongation enzyme ELOVL2 is a molecular regulator of aging in the retina. Aging Cell. 2020;19(2, article e13100) doi: 10.1111/acel.13100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.DeWan A., Liu M., Hartman S., et al. HTRA1 promoter polymorphism in wet age-related macular degeneration. Science. 2006;314(5801):989–992. doi: 10.1126/science.1133807. [DOI] [PubMed] [Google Scholar]
  • 18.Liutkeviciene R., Vilkeviciute A., Gedvilaite G., Kaikaryte K., Kriauciuniene L. Haplotypes of HTRA1 rs1120638, TIMP3 rs9621532, VEGFA rs833068, CFI rs10033900, ERCC6 rs3793784, and KCTD10 rs56209061 gene polymorphisms in age- related macular degeneration. Disease Markers. 2019;2019:11. doi: 10.1155/2019/9602949.9602949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Chen W., Stambolian D., Edwards A. O., et al. Genetic variants near TIMP3 and high-density lipoprotein-associated loci influence susceptibility to age-related macular degeneration. Proceedings of the National Academy of Sciences of the United States of America. 2010;107(16):7401–7406. doi: 10.1073/pnas.0912702107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yu Y., Bhangale T. R., Fagerness J., et al. Common variants near FRK/COL10A1 and VEGFA are associated with advanced age-related macular degeneration. Human Molecular Genetics. 2011;20(18):3699–3709. doi: 10.1093/hmg/ddr270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Xu Z., Ruan Z., Huang X., et al. Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration. Medicine. 2019;98(14, article e15083) doi: 10.1097/MD.0000000000015083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Litwińska Z., Sobuś A., Łuczkowska K., et al. The interplay between systemic inflammatory factors and microRNAs in age-related macular degeneration. Frontiers in Aging Neuroscience. 2019;11 doi: 10.3389/fnagi.2019.00286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Subhi Y., Nielsen M. K., Molbech C. R., et al. The transcriptome of peripheral blood mononuclear cells in patients with clinical subtypes of late age-related macular degeneration. Immunity & Ageing. 2019;16(1):p. 20. doi: 10.1186/s12979-019-0160-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Woo T. H. S., Patel B. K. C., Cinco M., et al. Identification of Leptospira biflexa by real-time homogeneous detection of rapid cycle PCR product. Journal of Microbiological Methods. 1999;35(1):23–30. doi: 10.1016/S0167-7012(98)00095-5. [DOI] [PubMed] [Google Scholar]
  • 25.Szklarczyk D., Gable A. L., Lyon D., et al. STRING V11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research. 2019;47(D1):D607–D613. doi: 10.1093/nar/gky1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Auer-Grumbach M., Weger M., Fink-Puches R., et al. Fibulin-5 mutations link inherited neuropathies, age-related macular degeneration and hyperelastic skin. Brain. 2011;134(6):1839–1852. doi: 10.1093/brain/awr076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Schultz D. W., Klein M. L., Humpert A. J., et al. Analysis of the ARMD1 locus: evidence that a mutation in HEMICENTIN-1 is associated with age-related macular degeneration in a large family. Human Molecular Genetics. 2003;12(24):3315–3323. doi: 10.1093/hmg/ddg348. [DOI] [PubMed] [Google Scholar]
  • 28.De La Paz M. A., Guy V. K., Abou-Donia S., et al. Analysis of the Stargardt disease gene (ABCR) in age-related macular degeneration. Ophthalmology. 1999;106(8):1531–1536. doi: 10.1016/S0161-6420(99)90449-9. [DOI] [PubMed] [Google Scholar]
  • 29.Altmüller J., Palmer L. J., Fischer G., Scherb H., Wjst M. Genomewide scans of complex human diseases: true linkage is hard to find. American Journal of Human Genetics. 2001;69(5):936–950. doi: 10.1086/324069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Newton-Cheh C., Hirschhorn J. N. Genetic association studies of complex traits: design and analysis issues. Mutation Research-Fundamental and Molecular Mechanisms of Mutagenesis. 2005;573(1-2):54–69. doi: 10.1016/j.mrfmmm.2005.01.006. [DOI] [PubMed] [Google Scholar]
  • 31.Lambert N. G., ElShelmani H., Singh M. K., et al. Risk factors and biomarkers of age-related macular degeneration. Progress in Retinal and Eye Research. 2016;54:64–102. doi: 10.1016/j.preteyeres.2016.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Luthert P. J., Kiel C. Combining gene–disease associations with single-cell gene expression data provides anatomy-specific subnetworks in age-related macular degeneration. Network and Systems Medicine. 2020;3(1):105–121. doi: 10.1089/nsm.2020.0005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Cai H. Use of iris pigment epithelium to replace retinal pigment epithelium in age-related macular degeneration. Archives of Ophthalmology. 2006;124(9):1276–1285. doi: 10.1001/archopht.124.9.1276. [DOI] [PubMed] [Google Scholar]
  • 34.Strunz T., Kiel C., Sauerbeck B. L., Weber B. H. F. Learning from fifteen years of genome-wide association studies in age-related macular degeneration. Cell. 2020;9(10):p. 2267. doi: 10.3390/cells9102267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Telegina D. V., Kolosova N. G., Kozhevnikova O. S. Immunohistochemical localization of NGF, BDNF, and their receptors in a normal and AMD-like rat retina. BMC Medical Genomics. 2019;12(Supplement 2):p. 48. doi: 10.1186/s12920-019-0493-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tekin M. I., Sekeroglu M. A., Demirtas C., et al. Brain-derived neurotrophic factor in patients with age-related macular degeneration and its correlation with retinal layer thicknesses. Investigative Ophthalmology and Visual Science. 2018;59(7, article 2833) doi: 10.1167/iovs.18-24030. [DOI] [PubMed] [Google Scholar]
  • 37.Afarid M., Torabi-Nami M., Nemati A., Khosravi A., Malekzadeh M. Brain-derived neurotrophic factor in patients with advanced age-related macular degeneration. International Journal of Ophthalmology. 2015;8(5):991–995. doi: 10.3980/j.issn.2222-3959.2015.05.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.He S. C., Wu S., Wang C., et al. Interaction between job stress, serum BDNF level and the BDNF rs2049046 polymorphism in job burnout. Journal of Affective Disorders. 2020;266:671–677. doi: 10.1016/j.jad.2020.01.181. [DOI] [PubMed] [Google Scholar]
  • 39.Araya A. V., Orellana X., Espinoza J. Evaluation of the effect of caloric restriction on serum BDNF in overweight and obese subjects: preliminary evidences. Endocrine. 2008;33(3):300–304. doi: 10.1007/s12020-008-9090-x. [DOI] [PubMed] [Google Scholar]
  • 40.Ferris L. T., Williams J. S., Shen C.-L. The effect of acute exercise on serum brain-derived neurotrophic factor levels and cognitive function. Journal of Exercise Physiology. 2007;39(4):728–734. doi: 10.1249/mss.0b013e31802f04c7. [DOI] [PubMed] [Google Scholar]
  • 41.Bhutto I. A., Baba T., Merges C., Juriasinghani V., McLeod D. S., Lutty G. A. C-reactive protein and complement factor H in aged human eyes and eyes with age-related macular degeneration. The British Journal of Ophthalmology. 2011;95(9):1323–1330. doi: 10.1136/bjo.2010.199216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Coffey P. J., Gias C., McDermott C. J., et al. Complement factor H deficiency in aged mice causes retinal abnormalities and visual dysfunction. Proceedings of the National Academy of Sciences. 2007;104(42):16651–16656. doi: 10.1073/pnas.0705079104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lu P., Li L., Liu G., Van Rooijen N., Mukaida N., Zhang X. Opposite roles of CCR2 and CX3CR1 macrophages in alkali-induced corneal neovascularization. Cornea. 2009;28(5):562–569. doi: 10.1097/ICO.0b013e3181930bcd. [DOI] [PubMed] [Google Scholar]
  • 44.Dagkalis A., Wallace C., Hing B., Liversidge J., Crane I. J. CX3CR1-deficiency is associated with increased severity of disease in experimental autoimmune uveitis. Immunology. 2009;128(1):25–33. doi: 10.1111/j.1365-2567.2009.03046.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Combadière C., Feumi C., Raoul W., et al. CX3CR1-dependent subretinal microglia cell accumulation is associated with cardinal features of age-related macular degeneration. The Journal of Clinical Investigation. 2007;117(10):2920–2928. doi: 10.1172/JCI31692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Uehara H., Mamalis C., McFadden M., et al. The reduction of serum soluble Flt-1 in patients with neovascular age-related macular degeneration. American Journal of Ophthalmology. 2015;159(1):92–100.e2. doi: 10.1016/j.ajo.2014.09.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sharma K., Tyagi R., Singh R., Sharma S. K., Anand A. Serum levels of TIMP-3, LIPC, IER3, and SLC16A8 in CFH-negative AMD cases. Journal of Cellular Biochemistry. 2017;118(8):2087–2095. doi: 10.1002/jcb.25837. [DOI] [PubMed] [Google Scholar]
  • 48.Zeng R., Wen F., Zhang X., Su Y. Serum levels of matrix metalloproteinase 2 and matrix metalloproteinase 9 elevated in polypoidal choroidal vasculopathy but not in age-related macular degeneration. Molecular Vision. 2013;19:729–736. [PMC free article] [PubMed] [Google Scholar]
  • 49.Krogh Nielsen M., Subhi Y., Rue Molbech C., Nilsson L. L., Nissen M. H., Sørensen T. L. Imbalances in tissue inhibitors of metalloproteinases differentiate choroidal neovascularization from geographic atrophy. Acta Ophthalmologica. 2019;97(1):84–90. doi: 10.1111/aos.13894. [DOI] [PubMed] [Google Scholar]
  • 50.Saruta J., Fujino K., To M., Tsukinoki K. Expression and localization of brain-derived neurotrophic factor (BDNF) MRNA and protein in human submandibular gland. Acta Histochemica et Cytochemica. 2012;45(4):211–218. doi: 10.1267/ahc.12005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Mandal M. N. A., Ayyagari R. Complement factor H: spatial and temporal expression and localization in the eye. Investigative Ophthalmology and Visual Science. 2006;47(9, article 4091) doi: 10.1167/iovs.05-1655. [DOI] [PubMed] [Google Scholar]
  • 52.Calabró P., Willerson J. T., Yeh E. T. H. Inflammatory cytokines stimulated C-reactive protein production by human coronary artery smooth muscle cells. Circulation. 2003;108(16):1930–1932. doi: 10.1161/01.CIR.0000096055.62724.C5. [DOI] [PubMed] [Google Scholar]
  • 53.Amisten S., Braun O. Ö., Bengtsson A., Erlinge D. Gene expression profiling for the identification of G-protein coupled receptors in human platelets. Thrombosis Research. 2008;122(1):47–57. doi: 10.1016/j.thromres.2007.08.014. [DOI] [PubMed] [Google Scholar]
  • 54.Andersson M. K., Göransson M., Olofsson A., Andersson C., Åman P. Nuclear expression of FLT1 and its ligand PGF in FUS-DDIT3 carrying myxoid liposarcomas suggests the existence of an intracrine signaling loop. BMC Cancer. 2010;10(1) doi: 10.1186/1471-2407-10-249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Qiu H., Durand K., Rabinovitch-Chable H., et al. Gene expression of HIF-1α and XRCC4 measured in human samples by real-time RT-PCR using the sigmoidal curve-fitting method. BioTechniques. 2007;42(3):355–362. doi: 10.2144/000112331. [DOI] [PubMed] [Google Scholar]
  • 56.Robertson D. M., Ho S. I., Hansen B. S., Petroll W. M., Cavanagh H. D. Insulin-like growth factor binding protein-3 expression in the human corneal epithelium. Experimental Eye Research. 2007;85(4):492–501. doi: 10.1016/j.exer.2007.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Jiang L., Tang Z. Expression and regulation of the ERK1/2 and P38 MAPK signaling pathways in periodontal tissue remodeling of orthodontic tooth movement. Molecular Medicine Reports. 2018;17(1):1499–1506. doi: 10.3892/mmr.2017.8021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Zhang S., Xue J., Zheng J., et al. The superoxide dismutase 1 3′UTR maintains high expression of the SOD 1 gene in cancer cells: the involvement of the RNA-binding protein AUF-1. Free Radical Biology & Medicine. 2015;85:33–44. doi: 10.1016/j.freeradbiomed.2015.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Mechoulam H., Pierce E. A. Expression and activation of STAT3 in ischemia-induced retinopathy. Investigative Ophthalmology and Visual Science. 2005;46(12):p. 4409. doi: 10.1167/iovs.05-0632. [DOI] [PubMed] [Google Scholar]
  • 60.Niki T., Iba S., Tokunou M., Yamada T., Matsuno Y., Hirohashi S. Expression of vascular endothelial growth factors A, B, C, and D and their relationships to lymph node status in lung adenocarcinoma. Clinical Cancer Research. 2000;6(6) [PubMed] [Google Scholar]
  • 61.Gabriely G., Wurdinger T., Kesari S., et al. MicroRNA 21 promotes glioma invasion by targeting matrix metalloproteinase regulators. Molecular and Cellular Biology. 2008;28(17):5369–5380. doi: 10.1128/mcb.00479-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Ennis S., Jomary C., Mullins R., et al. Association between the SERPING1 gene and age-related macular degeneration: a two-stage case -control study. Lancet. 2008;372(9652):1828–1834. doi: 10.1016/S0140-6736(08)61348-3. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data are available on request from Dr. Emine Cinici. E-mail: emine.cinici@atauni.edu.tr.


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