# Analysis of the Expression and Polymorphism ofAPOE, HSP, BDNF, and GRIN2B Genes Associated with the Neurodegeneration Process in the Pathogenesis of

Authors: Alicja Nowak; Ireneusz Majsterek; Karolina Przybyłowska-Sygut; Dariusz Pytel; Katarzyna Szymanek; Jerzy Szaflik; Jacek P. Szaflik
Journal: BioMed Research International
 (2015)

---

## Abstract

Glaucoma is characterized by optic neuropathy of the RGC or retinal nerve fiber. The aim of this study was to evaluate a relationship between the neurodegenerative genes’ polymorphisms of theAPOE (rs449647), BDNF (rs2030324), GRIN2B (rs3764028), and HSP70-1 (rs1043618) and the occurrence risk of POAG and to investigate its effect on allele-specific gene expression. Genomic DNA was extracted from peripheral blood. Analysis of the genes’ polymorphisms was performed using PCR-RFLP. The level of mRNA expression was determined by QRT-PCR. We showed a statistically significant association of  BDNF and APOE genes’ polymorphisms with a risk of POAG occurrence. There was a statistically significant association of the rs2030324 polymorphism with progression of POAG based on cup disc ratio value and rs1043618 polymorphism based on nerve fiber index and rim area. Furthermore, we found that mean HSP70-1 mRNA expression was significantly lower in the case of individuals with the G/G genotype than in the case of minor allele carriers, that is, G/C and C/C. We also found that BDNF and HSP70-1 expression level are associated with the progression of POAG based on rim area value. In conclusion, our results suggest that BDNF, APOE, and HSP70-1 genes might be associated with a risk of POAG occurrence in the Polish population.


---

## Body

## 1. Introduction

Glaucoma is one of the causes of blindness in the world, especially among the elderly [1]. The recent data have indicated that the number of people suffering from glaucoma reaches nearly 70 million, and among them, more than 7 million people are blind. The most common type of glaucoma is primary open angle glaucoma (POAG). In Poland, it constitutes about 80% of patients with glaucoma [2, 3].Glaucoma is an optic neuropathy characterized by retinal ganglion cell (RGC) death, axon loss, and an excavated appearance to the optic nerve head [4]. Elevated intraocular pressure (IOP) is one of the causes of glaucoma development. However, in some patients with glaucoma, IOP is observed within normal limits (11–21 mmHg) [5]. On the other hand, despite the reduction of IOP as a result of medical or surgical treatment, progressive loss of vision is still noticeable [6]. For this reason, there must be an IOP-independent mechanism leading to glaucomatous degeneration. Glaucoma along with Alzheimer’s (AD), Parkinson’s disease (PD), and multiple sclerosis (MS) is classified as a neurodegenerative disorder. A lot of data have indicated that there are similarities in cellular events leading to the development of glaucoma in the aforementioned diseases. These similarities include the selective loss of neuron populations, transsynaptic degeneration in which the disease spreads from injured neurons to connected neurons, and common mechanisms of cell injury and death [6]. Among patients with AD and PD there exists higher morbidity of glaucoma [7]; moreover optic nerves from AD patients are characterized by the loss of RGCs, the earliest dying cells in glaucoma [8]. In another study, it was reported that, in patients with MS, reduction of the retinal nerve fiber layer (RNFL) thickness is observed [9], while loss of RGCs in glaucoma is caused by RNFL thinning [10].The underlying cause of RGC death in neurodegenerative diseases seems to be apoptosis, a programmed cell death [11–13]. Processes that lead to apoptosis in the development of glaucoma include blockage of axonal transport [14], glutamate excitotoxicity [15], antibodies to heat shock proteins [16], and ischemia [17]. Normal axonal transport is vital to the healthy functioning of neurons, whereas retrograde transport of neurotrophins may be necessary for the survival of retinal ganglion cells. One of the neurotrophins which plays a role in retrograde axonal transport is brain-derived neurotrophic factor (BDNF). BDNF is essential to the growth and survival of nerve cells [18]. Excitotoxicity may also be associated with apoptosis in RGCs [15]. Excitotoxicity is the pathological process which leads to damage and consequently to the death of neurons by the overactivation of receptors for the excitatory neurotransmitter glutamate, such as the NMDA receptor (N-methyl-d-aspartate). Overactivation of the NMDA receptor causes enhanced influx of ions into the cell, especially Ca2+. Excessive influx of calcium activates enzymes that degrade cell membranes, cellular proteins, and nucleic acids, which finally leads to apoptosis [19]. It was observed that the level of glutamate in the vitreous was increased in glaucomatous patients and animals with experimentally induced glaucoma [15]. These data may suggest participation of excitotoxicity in RGC apoptosis. In the development of glaucoma, HSPs and antibodies against them may also be involved [20, 21]. Damage to the optic nerve and related various stress factors may lead to an overexpression of HSPs. Tezel et al. (2000) have demonstrated an increase in immunostaining of HSPs in the glaucomatous eyes [20]. Meanwhile, Tezel et al. (2004) have also underlined the role of HSPs in the pathological development of glaucoma by the activation of the autostimulatory response resulting in degeneration of the optic nerve [21]. Another protein that may influence the development of glaucoma is apolipoprotein E (APOE). APOE belongs to the class of lipoproteins that regulate the metabolism of lipids in the body. It is widely expressed in various tissues of the body but the highest expression is observed in the liver and brain. In the CNS, APOE is involved in homeostasis of cholesterol, which plays an important role in myelin production, function, and integrity. Disturbances in the cholesterol metabolism have been associated with ageing and the development of neurodegenerative diseases, such as AD [22–24]. Several studies have suggested that those who inherit theAPOEε4 gene may be predisposed to development of some disorders including atherosclerosis and AD [22, 25]. Furthermore,APOEε4 may be responsible for disrupting the Aβ clearance and therefore the accumulation of the toxic amyloid plaque in the brain [26].In our study, we examine the relationship between single nucleotide polymorphisms (SNPs) ofAPOE (rs449647),BDNF (rs2030324), GRIN2B (rs3764028), andHSP70-1 (rs1043618) genes and the possible occurrence risk of primary open angle glaucoma in the Polish population. Additionally, we tested the effect of these SNPs on allele-specific mRNA expression and correlated the results we obtained with known clinical parameters.


## 2. Materials and Methods

### 2.1. Study Subject

The case-control study included a total of 769 nonfamilially related Caucasian subjects. The subjects with POAG consisted of 363 patients (98 males and 265 females; mean age73±10), while the control group, without glaucoma symptoms, consisted of 406 patients (174 males and 232 females; mean age 68±13) (Table 1). All patients and controls were age-matched (no difference was calculated, P>0.05). All subjects underwent ophthalmologic examinations, including evaluation of intraocular pressure, best-corrected visual acuity, slit-lamp examination, gonioscopy, and fundus examination using noncontact and contact fundus lenses with a slit lamp. Inclusion criteria for the control group were as follows: intraocular pressure within normal limits, no changes in the optic nerve after examination of the fundus, and no changes in the structures of the anterior and posterior segment of the eye after slit-lamp examination. If any one or more of these conditions were not fulfilled, those subjects were excluded from the control group.Table 1
The clinical parameters characteristic of open angle glaucoma (POAG) patients and control groups.
Parameters
Patient groupsn=363
Control groupsn=406
Number
Gender(male/female)
98/265
174/232
Hypertension∗
218
132
Low blood pressure∗∗
75
54
Vascular disease
124
92
Diabetes mellitus type 2
70
104
Mean ± SD
Age (years)
73 ± 10
64 ± 16
Intraocular pressure, IOP (mmHg)
12.82 ± 2.9
11.9 ± 1.9
Cup disk ratio (c/d)right eye/left eye
0.74 ± 0.15/0.74 ± 0.27
PNM
Rim area (RA)right eye/left eye
1.45 ± 3.57/1.29 ± 1.07
PNM
Retinal nerve fiber layer (RNFL)right eye/left eye
0.39 ± 3.25/0.94 ± 12.13
PNM
Nerve fiber index (NRI)right eye/left eye
32.47 ± 19.57/25.92 ± 17.11
PNM
∗Systolic pressure >140; diastolic pressure >90 mmHg.
∗
∗Systolic pressure <90; diastolic pressure <60 mmHg.
PNM: parameter not measured.Among the glaucomatous patients, the diagnosis of POAG was stated prior to enrollment and in accordance with the guidelines of European Glaucoma Society (Terminology and Guidelines for Glaucoma, Second Edition, Dogma, Savona 2003, Italy). A comprehensive medical history was obtained from each glaucomatous patient. The following conditions excluded patients from the study group: use of any eye drops other than antiglaucoma preparations, present or past treatment with glucocorticosteroids or immunosuppressive therapy (if these treatments had not been stopped at least 1 year before collection of specimens), and any ocular surgeries or laser treatments performed in the previous 6 months.All subjects involved in the study were nonfamilially related Caucasians and inhabited the Warsaw District in Poland. All patients and controls were examined in the Department of Ophthalmology, Medical University of Warsaw (Poland). The study design was approved by the Committee for Bioethics of the Medical University of Lodz (Poland) and met the tenets of the Declaration of Helsinki. An informed written consent was explained and signed by all participants before the study was initiated.


### 2.2. DNA Preparation and Genotyping

Blood samples were collected in 5 mL EDTA tubes. Genomic DNA was isolated from the white blood cells using the kit QIAamp DNA Blood Mini Kit (Qiagen, Chatsworth, CA, USA), according to the manufacturer’s instructions. DNA purity and concentrations were determined spectrophotometrically at 260 and 280 nm. Each DNA sample was stored at −20°C until analysis was performed.The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to determine the genotypes ofBDNF,HSP70-1,GRIN2B, andAPOE genes according to previously described procedures with some modifications. Primer sequences used for the amplification are the same as described in previous publications [27–31]. PCR assay was performed in a total reaction volume of 20 μL containing the following components: 10 ng genomic DNA, 1.25 U Taq polymerase (Qiagen, Chatsworth, CA, USA) in 1x PCR buffer (100 Mm Tris-HCl, pH 8.3; 500 mM KCl; 11 mM MgCl2, 0.1% gelatine), 1.5 mM MgCl2, 50 nM dNTPs, and 250 nM of each primer (Sigma-Aldrich, St. Louis, MO, USA). Thermal cycling conditions with primer sequences are displayed in Table 2. The PCR was carried out in a T100 thermal cycler (Bio-Rad, Richmond, CA, USA). To examine the rs449647 polymorphism, the 1423 bp fragment was amplified using PCR reaction. Then, the 1423 bp product was used as a template for the following RFLP-PCR analyses: the 227 bp fragment, generated by amplification with mismatched primers, was digested for 16 hours at 37°C with 2 U of the restriction enzymeDraI (New England Biolabs, Ipswich, MA, USA). The fragment of theAPOE gene containing A variant was digested into the 206 bp and 21 bp fragments whereas the T remained intact. To genotype the rs3764028 polymorphism, PCR amplification product, 115 bp, was digested with 1 UHpyCH4IV (New England Biolabs, Ipswich, MA, USA) for 16 hours at 37°C. The wild-type C allele remained uncut, while the A allele was digested into 96 bp and 19 bp fragments. To examine the rs1043618 polymorphism, PCR amplification product, 488 bp, was digested with 1 UBsrBI (New England Biolabs, Ipswich, MA, USA) for 16 hours at 37°C. The wild-type G allele was digested into 461 bp and 27 bp fragments, while the C allele, which lacks the restriction site, remained uncut. The genotype of the rs2030324 polymorphism was obtained from the 348 bp fragment, which was digested for 16 hours at 37°C with 1 U of the restriction enzymeHpyCH4IV (New England Biolabs, Ipswich, MA, USA). The fragment of theBDNF gene containing C variant was digested into 268 bp and 79 bp fragments and the fragment containing T remained intact. Digested PCR products were separated by electrophoresis on a 3% agarose gel in a TAE buffer and visualized by ethidium bromide staining under UV light. In the study, to verify the activity of the restriction enzymes, we also used pBR322 plasmid (Invitrogen, Carlsbad, CA, USA) with multiple cloning sites containing 2, 10, and 3 restriction sites forBsrBI,HpyCH4IV, andDraI enzymes, respectively.Table 2
Primer sequences and restriction endonucleases used in the gene polymorphisms analysis by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).
Gene polymorphism
Primer sequence
Annealing[°C]
PCRproduct [bp]
Enzyme
rs1043618
F: 5′-CGCCATGGAGACCAACACCC-3′R: 5′-GCGGTTCCCTGCTCTCTGTC-3′
63
488
BsrBI
rs3764028
F: 5′-CGCTCTCCGTCGGTGCTGTT-3′R: 5′-CTGGGGAAGTGGGGTGGTAACG-3′
61
115
HpyCH4IV
rs2030324
F: 5′-TTGCACATCCTGCTCAAGTC-3′R: 5′-TTGCTAGGAGAAAAGCCATGA-3′
62
348
HpyCH4IV
rs449647
F: 5′-CAAGGTCACACAGCTGGCAAC-3′R: 5′-TCCAATCGACGGCTAGCTACC-3′
69
1426
—
F (mismatched):5′-TGTTGGCCAGGCTGGTTTTAA-3′ R: 5′-CTTCCTTTCCTGACCCTGTCC-3′
63
227
DraI


### 2.3. RNA Isolation and cDNA Synthesis

Blood samples were collected in 5 mL EDTA tubes. Total RNA was isolated from peripheral lymphocytes using Fenozol reagent (A&A Biotechnology, Gdynia, Poland) according to the manufacturer’s protocol. Total RNA was extracted from 54 subjects with POAG and 49 subjects without glaucoma. RNA was eluted in 50μL RNase-free water and stored at −20°C. The yields were quantified spectrophotometrically. RNA with a 260/280 nm ratio in the range of 1.8–2.0 was considered high quality and was used for further analysis. First-strand cDNA was synthesized by reverse transcription of 1 μg of total RNA using AffinityScript QPCR cDNA Synthesis Kit (Agilent Technologies, Santa Clara, CA, USA) following the manufacturer’s protocol.


### 2.4. Real-Time Quantitative PCR

For real-time PCR analysis ofAPOE,BDNF,GRIN2B, andHSP70-1 mRNA, Brilliant II SYBR QPCR and QRT-PCR Master Mix Kits (Agilent Technologies, Santa Clara, CA, USA) were used according to the manufacturer’s instruction. TheGAPDH gene was used as the internal sample control. The sequences of specific primers forGAPDH and target genes are presented in Table 3. For real-time quantitative PCR (RT-qPCR), reaction mixtures consisting of 400 nM each primer, 2x Brilliant II SYBR Green QPCR master mix, and 20 ng of template cDNA were preincubated for 10 minutes at 95°C followed by 40 cycles of 95°C for 30 sec, 60°C for 30 sec, and 72°C for 30 sec. The reactions were performed in duplicate. The RT-qPCR reaction was carried out using the Mx3005P from Agilent Technologies.Table 3
Primer sequences used in QRT-PCR analysis.
Gene
Primer sequence
PCRproduct [bp]
GAPDH
F: 5′-CACCTTCCCCATGGTGTCT-3′R: 5′-CCCCGGTTTCTATAAATTGAGC-3′
120
BDNF
F: 5′-CAAATACAAGACCCTGCTTGTG-3′R: 5′-CCACCATTTTTGCACTTGCTT-3′
90
APOE
F: 5′-TGGACAAGTCTGGGATCCTT-3′R: 5′-CATCTTCCTGCCTGTGATTG-3′
78
HSP70-1
F: 5′-GGGAAGCCTTGGGACAAC-3′R: 5′-TGATTGGCTCAGAAGGGAAA-3′
80
GRIN2B
F: 5′-AGCAATGGGACTGTCTCACC-3′R: 5′-AACATCATCACCCATACGTCAG-3′
85A positive result was defined by a threshold cycle (Ct) value lower than 40 (the Ct value is determined by the number of cycles needed to exceed the background signal). Abundance of target genes mRNA in studied material was quantified by the ΔCt method.


### 2.5. Statistical Data Analysis

To compare the distributions of demographic variables and selected risk factors between patients and controls, the Chi-square test was used. The observed number of cases for each genotype in the study and control group was compared with the expected number according to the Hardy-Weinberg principle, using theχ2 test. The χ2 analysis was also used to test the significance of the differences between distributions of genotypes in glaucoma patients and controls. The association between case-control status and each polymorphism, measured by the odds ratio (OR) and its corresponding 95% confidence interval (CI), was estimated using an unconditional multiple logistic regression model. When calculating the probability, Pearson correction was used, and if the expected cell values were less than 5, Fisher’s exact test was used. The odds ratios were then adjusted for possible interfering factors, including hypertension, low blood pressure, vascular disease, and diabetes. Clinical features in patients with POAG were also compared between genotypes of each polymorphism by using an analysis of variance (ANOVA withpost hoc Tukey’s HSD test) for the comparison with discrete variables. The nonparametric Mann-Whitney U test was applied to determine the levels of mRNA expression in blood of POAG patients and healthy subjects. The nonparametrical statistical tests (ANOVA withpost hoc Tukey’s HSD test) were applied to compare the level of mRNA expression with genotypes of each polymorphism in studied material specimens. A P value of less than 0.05 was considered statistically significant. Significant probability values obtained were analyzed for multiple testing using Bonferroni correction (P value after Bonferroni correction (Pcorr)). Post hoc power analysis with preestablished effect size, error probability, and sample size was performed using the G*Power version 3.1.3 program [32]. Statistical analysis was performed using STATISTICA 6.0 software (Statsoft, Tulsa, OK, USA).


## 2.1. Study Subject

The case-control study included a total of 769 nonfamilially related Caucasian subjects. The subjects with POAG consisted of 363 patients (98 males and 265 females; mean age73±10), while the control group, without glaucoma symptoms, consisted of 406 patients (174 males and 232 females; mean age 68±13) (Table 1). All patients and controls were age-matched (no difference was calculated, P>0.05). All subjects underwent ophthalmologic examinations, including evaluation of intraocular pressure, best-corrected visual acuity, slit-lamp examination, gonioscopy, and fundus examination using noncontact and contact fundus lenses with a slit lamp. Inclusion criteria for the control group were as follows: intraocular pressure within normal limits, no changes in the optic nerve after examination of the fundus, and no changes in the structures of the anterior and posterior segment of the eye after slit-lamp examination. If any one or more of these conditions were not fulfilled, those subjects were excluded from the control group.Table 1
The clinical parameters characteristic of open angle glaucoma (POAG) patients and control groups.
Parameters
Patient groupsn=363
Control groupsn=406
Number
Gender(male/female)
98/265
174/232
Hypertension∗
218
132
Low blood pressure∗∗
75
54
Vascular disease
124
92
Diabetes mellitus type 2
70
104
Mean ± SD
Age (years)
73 ± 10
64 ± 16
Intraocular pressure, IOP (mmHg)
12.82 ± 2.9
11.9 ± 1.9
Cup disk ratio (c/d)right eye/left eye
0.74 ± 0.15/0.74 ± 0.27
PNM
Rim area (RA)right eye/left eye
1.45 ± 3.57/1.29 ± 1.07
PNM
Retinal nerve fiber layer (RNFL)right eye/left eye
0.39 ± 3.25/0.94 ± 12.13
PNM
Nerve fiber index (NRI)right eye/left eye
32.47 ± 19.57/25.92 ± 17.11
PNM
∗Systolic pressure >140; diastolic pressure >90 mmHg.
∗
∗Systolic pressure <90; diastolic pressure <60 mmHg.
PNM: parameter not measured.Among the glaucomatous patients, the diagnosis of POAG was stated prior to enrollment and in accordance with the guidelines of European Glaucoma Society (Terminology and Guidelines for Glaucoma, Second Edition, Dogma, Savona 2003, Italy). A comprehensive medical history was obtained from each glaucomatous patient. The following conditions excluded patients from the study group: use of any eye drops other than antiglaucoma preparations, present or past treatment with glucocorticosteroids or immunosuppressive therapy (if these treatments had not been stopped at least 1 year before collection of specimens), and any ocular surgeries or laser treatments performed in the previous 6 months.All subjects involved in the study were nonfamilially related Caucasians and inhabited the Warsaw District in Poland. All patients and controls were examined in the Department of Ophthalmology, Medical University of Warsaw (Poland). The study design was approved by the Committee for Bioethics of the Medical University of Lodz (Poland) and met the tenets of the Declaration of Helsinki. An informed written consent was explained and signed by all participants before the study was initiated.


## 2.2. DNA Preparation and Genotyping

Blood samples were collected in 5 mL EDTA tubes. Genomic DNA was isolated from the white blood cells using the kit QIAamp DNA Blood Mini Kit (Qiagen, Chatsworth, CA, USA), according to the manufacturer’s instructions. DNA purity and concentrations were determined spectrophotometrically at 260 and 280 nm. Each DNA sample was stored at −20°C until analysis was performed.The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to determine the genotypes ofBDNF,HSP70-1,GRIN2B, andAPOE genes according to previously described procedures with some modifications. Primer sequences used for the amplification are the same as described in previous publications [27–31]. PCR assay was performed in a total reaction volume of 20 μL containing the following components: 10 ng genomic DNA, 1.25 U Taq polymerase (Qiagen, Chatsworth, CA, USA) in 1x PCR buffer (100 Mm Tris-HCl, pH 8.3; 500 mM KCl; 11 mM MgCl2, 0.1% gelatine), 1.5 mM MgCl2, 50 nM dNTPs, and 250 nM of each primer (Sigma-Aldrich, St. Louis, MO, USA). Thermal cycling conditions with primer sequences are displayed in Table 2. The PCR was carried out in a T100 thermal cycler (Bio-Rad, Richmond, CA, USA). To examine the rs449647 polymorphism, the 1423 bp fragment was amplified using PCR reaction. Then, the 1423 bp product was used as a template for the following RFLP-PCR analyses: the 227 bp fragment, generated by amplification with mismatched primers, was digested for 16 hours at 37°C with 2 U of the restriction enzymeDraI (New England Biolabs, Ipswich, MA, USA). The fragment of theAPOE gene containing A variant was digested into the 206 bp and 21 bp fragments whereas the T remained intact. To genotype the rs3764028 polymorphism, PCR amplification product, 115 bp, was digested with 1 UHpyCH4IV (New England Biolabs, Ipswich, MA, USA) for 16 hours at 37°C. The wild-type C allele remained uncut, while the A allele was digested into 96 bp and 19 bp fragments. To examine the rs1043618 polymorphism, PCR amplification product, 488 bp, was digested with 1 UBsrBI (New England Biolabs, Ipswich, MA, USA) for 16 hours at 37°C. The wild-type G allele was digested into 461 bp and 27 bp fragments, while the C allele, which lacks the restriction site, remained uncut. The genotype of the rs2030324 polymorphism was obtained from the 348 bp fragment, which was digested for 16 hours at 37°C with 1 U of the restriction enzymeHpyCH4IV (New England Biolabs, Ipswich, MA, USA). The fragment of theBDNF gene containing C variant was digested into 268 bp and 79 bp fragments and the fragment containing T remained intact. Digested PCR products were separated by electrophoresis on a 3% agarose gel in a TAE buffer and visualized by ethidium bromide staining under UV light. In the study, to verify the activity of the restriction enzymes, we also used pBR322 plasmid (Invitrogen, Carlsbad, CA, USA) with multiple cloning sites containing 2, 10, and 3 restriction sites forBsrBI,HpyCH4IV, andDraI enzymes, respectively.Table 2
Primer sequences and restriction endonucleases used in the gene polymorphisms analysis by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).
Gene polymorphism
Primer sequence
Annealing[°C]
PCRproduct [bp]
Enzyme
rs1043618
F: 5′-CGCCATGGAGACCAACACCC-3′R: 5′-GCGGTTCCCTGCTCTCTGTC-3′
63
488
BsrBI
rs3764028
F: 5′-CGCTCTCCGTCGGTGCTGTT-3′R: 5′-CTGGGGAAGTGGGGTGGTAACG-3′
61
115
HpyCH4IV
rs2030324
F: 5′-TTGCACATCCTGCTCAAGTC-3′R: 5′-TTGCTAGGAGAAAAGCCATGA-3′
62
348
HpyCH4IV
rs449647
F: 5′-CAAGGTCACACAGCTGGCAAC-3′R: 5′-TCCAATCGACGGCTAGCTACC-3′
69
1426
—
F (mismatched):5′-TGTTGGCCAGGCTGGTTTTAA-3′ R: 5′-CTTCCTTTCCTGACCCTGTCC-3′
63
227
DraI


## 2.3. RNA Isolation and cDNA Synthesis

Blood samples were collected in 5 mL EDTA tubes. Total RNA was isolated from peripheral lymphocytes using Fenozol reagent (A&A Biotechnology, Gdynia, Poland) according to the manufacturer’s protocol. Total RNA was extracted from 54 subjects with POAG and 49 subjects without glaucoma. RNA was eluted in 50μL RNase-free water and stored at −20°C. The yields were quantified spectrophotometrically. RNA with a 260/280 nm ratio in the range of 1.8–2.0 was considered high quality and was used for further analysis. First-strand cDNA was synthesized by reverse transcription of 1 μg of total RNA using AffinityScript QPCR cDNA Synthesis Kit (Agilent Technologies, Santa Clara, CA, USA) following the manufacturer’s protocol.


## 2.4. Real-Time Quantitative PCR

For real-time PCR analysis ofAPOE,BDNF,GRIN2B, andHSP70-1 mRNA, Brilliant II SYBR QPCR and QRT-PCR Master Mix Kits (Agilent Technologies, Santa Clara, CA, USA) were used according to the manufacturer’s instruction. TheGAPDH gene was used as the internal sample control. The sequences of specific primers forGAPDH and target genes are presented in Table 3. For real-time quantitative PCR (RT-qPCR), reaction mixtures consisting of 400 nM each primer, 2x Brilliant II SYBR Green QPCR master mix, and 20 ng of template cDNA were preincubated for 10 minutes at 95°C followed by 40 cycles of 95°C for 30 sec, 60°C for 30 sec, and 72°C for 30 sec. The reactions were performed in duplicate. The RT-qPCR reaction was carried out using the Mx3005P from Agilent Technologies.Table 3
Primer sequences used in QRT-PCR analysis.
Gene
Primer sequence
PCRproduct [bp]
GAPDH
F: 5′-CACCTTCCCCATGGTGTCT-3′R: 5′-CCCCGGTTTCTATAAATTGAGC-3′
120
BDNF
F: 5′-CAAATACAAGACCCTGCTTGTG-3′R: 5′-CCACCATTTTTGCACTTGCTT-3′
90
APOE
F: 5′-TGGACAAGTCTGGGATCCTT-3′R: 5′-CATCTTCCTGCCTGTGATTG-3′
78
HSP70-1
F: 5′-GGGAAGCCTTGGGACAAC-3′R: 5′-TGATTGGCTCAGAAGGGAAA-3′
80
GRIN2B
F: 5′-AGCAATGGGACTGTCTCACC-3′R: 5′-AACATCATCACCCATACGTCAG-3′
85A positive result was defined by a threshold cycle (Ct) value lower than 40 (the Ct value is determined by the number of cycles needed to exceed the background signal). Abundance of target genes mRNA in studied material was quantified by the ΔCt method.


## 2.5. Statistical Data Analysis

To compare the distributions of demographic variables and selected risk factors between patients and controls, the Chi-square test was used. The observed number of cases for each genotype in the study and control group was compared with the expected number according to the Hardy-Weinberg principle, using theχ2 test. The χ2 analysis was also used to test the significance of the differences between distributions of genotypes in glaucoma patients and controls. The association between case-control status and each polymorphism, measured by the odds ratio (OR) and its corresponding 95% confidence interval (CI), was estimated using an unconditional multiple logistic regression model. When calculating the probability, Pearson correction was used, and if the expected cell values were less than 5, Fisher’s exact test was used. The odds ratios were then adjusted for possible interfering factors, including hypertension, low blood pressure, vascular disease, and diabetes. Clinical features in patients with POAG were also compared between genotypes of each polymorphism by using an analysis of variance (ANOVA withpost hoc Tukey’s HSD test) for the comparison with discrete variables. The nonparametric Mann-Whitney U test was applied to determine the levels of mRNA expression in blood of POAG patients and healthy subjects. The nonparametrical statistical tests (ANOVA withpost hoc Tukey’s HSD test) were applied to compare the level of mRNA expression with genotypes of each polymorphism in studied material specimens. A P value of less than 0.05 was considered statistically significant. Significant probability values obtained were analyzed for multiple testing using Bonferroni correction (P value after Bonferroni correction (Pcorr)). Post hoc power analysis with preestablished effect size, error probability, and sample size was performed using the G*Power version 3.1.3 program [32]. Statistical analysis was performed using STATISTICA 6.0 software (Statsoft, Tulsa, OK, USA).


## 3. Results

The genotype and allele frequency and the odds ratios of the examined genes’ polymorphisms in the study and control group are displayed in Table4. The observed genotype frequencies ofHSP70-1 (P>0.05; χ2=2.56),BDNF (P>0.05; χ2=0.37),GRIN2B (P>0.05; χ2=1.46), andAPOE (P>0.05; χ2=3.51) in the control group were in agreement with Hardy-Weinberg equilibrium.Table 4
The genotype and allele frequency and odds ratios (OR) of the gene polymorphisms in open angle glaucoma (POAG) patients and controls.
Genotypeor allele
POAG patientsn = 363
Control subjectsn = 406
OR(95% CI)
P
OR adjusted1 (95% CI)
P
HSP70-1
G/G
155 (43%)
179 (44%)
Ref
Ref
Ref
Ref
G/C
169 (47%)
170 (42%)
1.15 (0.85–1.55)
0.371
1.29 (0.94–1.77)
0.107
C/C
39 (10%)
57 (14%)
0.79 (0.50–1.25)
0.315
0.67 (0.42–1.08)
0.103
G
479 (66%)
528 (65%)
Ref
Ref
Ref
Ref
C
247 (34%)
284 (35%)
0.96 (0.78–1.18)
0.699
0.94 (0.76–1.17)
0.630
Post hoc power analysis: df = 2,n = 769 Effect size w = 0.132; power (1 − β err prob) = 0.919
BDNF
C/C
86 (24%)
146 (36%)
Ref
Ref
Ref
Ref
C/T
192 (53%)
190 (47%)
1.72 (1.23–2.39)
<0.001
1.43 (1.04–1.95)
0.024
T/T
85 (23%)
70 (17%)
2.06 (1.36–3.12)
<0.001
2.01 (1.92–2.23)
0.008
C
364 (50%)
482 (59%)
Ref
Ref
Ref
Ref
T
362 (50%)
330 (41%)
1.45 (1.19–1.78)
<0.001
1.45 (1.18–1.78)
<0.001
Post hoc power analysis: df = 2,n = 769 Effect size w = 0.262; power (1 − β err prob) = 0.999
GRIN2B
C/C
331 (91%)
360 (89%)
Ref
Ref
Ref
Ref
C/A
31 (8%)
46 (11%)
0.73 (0.45–1.18)
0.203
0.80 (0.47–1.35)
0.417
A/A
1 (1%)
0 (0%)
—
—
—
—
C
693 (95%)
766 (94%)
Ref
Ref
Ref
Ref
A
33 (5%)
46 (6%)
0.79 (0.50–1.25)
0.320
0.87 (0.52–1.43)
0.589
Post hoc power analysis: df = 2,n = 769 Effect size w = 0.096; power (1 − β err prob) = 0.660
APOE
A/A
205 (56%)
257 (63%)
Ref
Ref
Ref
Ref
A/T
127 (35%)
124 (31%)
1.28(0.94–1.75)
0.112
1.19 (0.85–1.65)
0.302
T/T
31 (9%)
25 (6%)
1.55 (0.89–2.72)
0.119
1.61 (0.88–2.93)
0.115
A
537 (74%)
638 (79%)
Ref
Ref
Ref
Ref
T
189 (26%)
174 (21%)
1.29 (1.02–1.63)
0.034
1.35 (1.05–1.73)
0.018
Post hoc power analysis: df = 2,n = 769 Effect size w = 0.167; power (1 − β err prob) = 0.990
1Odds ratio adjusted for hypertension, low blood pressure, vascular disease, and diabetes.A statistically significant increase in the frequency of the C/TBDNF genotype (OR 1.72; 95% CI, 1.23–2.39; P<0.001) and T/TBDNF genotype (OR 2.06; 95% CI, 1.36–3.12; P<0.001) as well as TBDNF allele (OR 1.45; 95% CI, 1.19–1.78; P<0.001) in patients with POAG in comparison with control group. And after the Bonferroni correction, the positive association remained (Pcorr<0.001). We also observed positive association of the −491 TAPOE allele (OR 1.29; 95% CI, 1.02–1.63; P=0.034) occurrence with an increased POAG development risk but after using Bonferroni correction, this association was no longer statistically significant (Pcorr=0.136). However, comparison of the genotype and allele distributions of the −421 C/AGRIN2B gene polymorphism as well as 190 G/C polymorphism ofHSP70-1 gene and analysis of the odds ratio (OR) showed no statistically significant differences between POAG patients and controls (P>0.05). Using power calculation we demonstrated that the study had >90% power in detecting associations of rs449647 and rs2030324 polymorphisms with risk of POAG, at a significance level of 0.05 (df=2). We were not able to show an association between the rs3764028 polymorphism and POAG in our population, which possibly may be due to a lack of power calculation. In addition, statistical analysis demonstrated that the polymorphisms ofAPOE,BDNF,GRIN2B, andHSP70-1 genes are not related with hypertension, diabetes, low blood pressure, and vascular disease.Analyses of the genes’ polymorphisms in correlation with the clinical parameters in POAG patients for each eye counted separately are displayed in Tables5–8. There was statistically significant association of theBDNF (rs2030324) gene polymorphism with progression of POAG based on the cup disc ratio value – c/d, P=0.004(Pcorr=0.016). We found an association of the T/T genotype ofBDNF gene with a decreased c/d ratio value in patients with POAG group (Table 5). Moreover, the analysis of theHSP70-1 (rs1043618) gene polymorphism showed a correlation with progression of POAG based on clinical parameters: nerve fiber index (NFI) and rim area (RA), P=0.004(Pcorr=0.016) and P=0.009(Pcorr=0.036); respectively. We observed an association of a decreased RA value (rim area) with the occurrence of the 190 C/C genotype ofHSP70-1 gene (Tukey’s HSD test: P<0.05; RA C/C versus G/C). An increased NFI value was observed in patients with POAG group connected with the 190 C/CHSP70-1 genotype (Tukey’s HSD test: P<0.05; NFI C/C versus G/C) (Table 6). However, there were no statistically significant associations ofGRIN2B (rs3764028) andAPOE (rs449647) genes’ polymorphisms with progression of POAG based on clinical parameters, P>0.05 (Tables 7 and 8, resp.).Table 5
Analysis ofBDNF (rs2030324) gene polymorphism depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Genotype
POAG patients
Mean
SD
Quartile 25%
Median
Quartile 75%
P
NFI
C/C
87
28.2
20.1
15.0
23.0
38.0
0.098
C/T
231
33.6
23.3
17.0
26.0
42.0
T/T
84
24.9
12.9
18.0
23.0
29.0
c/d
C/C
155
0.74
0.13
0.67
0.70
0.85
0.004
C/T
364
0.74
0.16
0.60
0.80
0.85
T/T
150
0.66#
0.16
0.60
0.70
0.80
RA
C/C
121
1.21
0.37
0.96
1.22
1.42
0.092
C/T
276
1.23
0.43
0.91
1.26
1.49
T/T
125
1.30
0.35
1.03
1.29
1.56
RNFL
C/C
121
0.18
0.08
0.13
0.19
0.23
0.551
C/T
276
0.21
0.20
0.12
0.19
0.26
T/T
124
0.21
0.16
0.14
0.19
0.26
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.
Tukey’s HSD test:P<0.05 (#C/T versus T/T).Table 6
Analysis ofHSP70-1 (rs1043618) gene polymorphism depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Genotype
POAG patients
Mean
SD
Quartile 25%
Median
Quartile 75%
P
NFI
G/G
178
31.6
21.3
16.0
25.5
43.0
0.004
G/C
183
26.3
17.8
16.0
23.0
29.0
C/C
41
44.16#
25.1
22.0
26.0
59.5
c/d
G/G
196
0.72
0.16
0.60
0.75
0.85
0.250
G/C
313
0.71
0.16
0.60
0.75
0.80
C/C
160
0.77
0.14
0.66
0.80
0.85
RA
G/G
232
1.21
0.38
0.95
1.24
1.47
0.009
G/C
232
1.33
0.37
1.03
1.28
1.52
C/C
58
1.08#
0.47
0.73
1.10
1.41
RNFL
G/G
231
0.20
0.14
0.13
0.18
0.25
0.519
G/C
232
0.21
0.20
0.13
0.19
0.27
C/C
58
0.21
0.18
0.12
0.17
0.26
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.
Tukey’s HSD test:P<0.05 (#G/C versus C/C).Table 7
Analysis ofGRIN2B (rs3764028) gene polymorphism depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Genotype
POAG patients
Mean
SD
Quartile 25%
Median
Quartile 75%
P
NFI
C/C
364
29.9
19.8
16.0
25.0
37.0
0.339
C/A
36
36.0
28.3
18.0
24.5
50.5
A/A
2
12.5
14.8
2.00
12.5
23.0
c/d
C/C
609
0.72
0.16
0.60
0.75
0.85
0.124
C/A
58
0.73
0.15
0.60
0.75
0.85
A/A
2
0.50
0
0.50
0.50
0.50
RA
C/C
473
1.25
0.40
0.97
1.26
1.50
0.538
C/A
47
1.18
0.36
0.92
1.23
1.43
A/A
2
1.34
0.02
1.32
1.34
1.35
RNFL
C/C
472
0.20
0.17
0.12
0.19
0.26
0.434
C/A
47
0.23
0.19
0.14
0.21
0.25
A/A
2
0.20
0.01
0.20
0.20
0.21
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.Table 8
Analysis ofAPOE (rs449647) gene polymorphism depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Genotype
POAG patients
Mean
SD
Quartile 25%
Median
Quartile 75%
P
NFI
A/A
225
28.9
20.4
16.0
24.0
36.0
0.341
A/T
146
31.7
20.7
17.0
26.0
43.0
T/T
31
32.9
23.5
18.3
26.0
38.5
c/d
A/A
384
0.71
0.16
0.60
0.75
0.85
0.713
A/T
227
0.72
0.16
0.60
0.70
0.85
T/T
58
0.75
0.11
0.70
0.80
0.80
RA
A/A
298
1.24
0.39
0.95
1.24
1.48
0.620
A/T
178
1.28
0.42
1.03
1.26
1.48
T/T
46
1.21
0.33
1.01
1.29
1.46
RNFL
A/A
297
0.21
0.19
0.12
0.18
0.25
0.750
A/T
178
0.20
0.16
0.14
0.19
0.26
T/T
46
0.20
0.08
0.15
0.18
0.26
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.The results ofAPOE,BDNF,GRIN2B, andHSP70-1 genes’ expression in blood of POAG patients and healthy subjects are presented in Figure 1. TheAPOE gene displayed a significantly higher expression in the blood of POAG patients than in healthy subjects (P=0.01(Pcorr=0.04)). No statistically significant differences were found inBDNF,GRIN2B, andHSP70-1 mRNA levels between POAG patients and controls (P>0.05).Figure 1
Comparison of mRNA expression level ofGRIN2B,APOE,BDNF, andHSP70-1 genes in the blood between primary open angle glaucoma (POAG) and control groups measured by real-time PCR. Error bars represent the means ± SEM; U test, P<0.01.Distributions of genotypes and allele frequencies of genes’ polymorphisms with regard to levels of mRNA expression are presented in Table9. It was found that meanHSP70-1 mRNA expression was significantly lower in the cases of individuals with the G/G genotype than in the cases of minor allele carriers, that is, G/C heterozygotes and C/C homozygotes (ANOVA P=0.016; G/G versus G/C P<0.05 and G/G versus C/C P<0.05). However, after using Bonferroni correction, this P value was no longer statistically significant (Pcorr=0.064). Any statistically significant association ofBDNF,APOE, andGRIN2B genes’ polymorphisms in POAG patients with mRNA expression levels was observed.Table 9
Comparison of mRNA expression in the blood of POAG with genotypes of genes. IfP<0.05 differences between each genotype and others tested post hoc with Tukey’s HSD test.
Gene
Genotype
POAG patients
Mean
SD
Quartile 25%
Median
Quartile 75%
P
(ANOVA)
HSP70-1
G/G
20
2.77
0.85
2.12
2.68
3.62
0.016
G/C
22
3.46#
0.78
0.78
3.02
3.92
C/C
6
3.51∗
0.64
3.32
3.47
3.52
BNDF
C/C
9
19.84
1.38
19.07
19.47
21.25
0.183
C/T
32
19.52
1.43
18.57
19.55
20.43
T/T
7
18.61
0.80
18.24
18.87
19.04
GRIN2B
C/C
44
18.02
1.94
16.57
18.29
19.46
0.325
C/A
6
18.92
0.83
18.52
18.76
19.43
A/A
—
—
—
—
—
—
APOE
A/A
32
12.46
3.52
10.89
11.33
12.65
0.267
A/T
15
11.20
0.93
10.48
10.89
11.94
T/T
1
12.59
—
12.59
12.59
12.59
Tukey’s HSD test:P<0.05 (∗G/G versus C/C, #G/G versus G/C).Analyses of the genes’ expression levels in correlation with the clinical parameters in POAG patients for each eye counted separately are displayed in Tables10–13. There was statistically significant association of theBDNF expression level with progression of POAG based on RA value, P=0.011(Pcorr=0.044). We observed a decrease ofBDNF expression level with the advancement of glaucoma (Table 10). Furthermore, the analysis of theHSP70-1 expression level showed a correlation with progression of POAG based on RA value, P=0.004(Pcorr=0.016). We found an increase ofHSP70-1 expression level with a decrease of the RA parameter value (Table 11). There were no statistically significant associations of theGRIN2B andAPOE expression level with progression of POAG based on clinical parameters, P>0.05 (Tables 12 and 13, resp.).Table 10
Analysis ofBDNF expression level depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Stage of POAG
Number of POAG
Mean (expression level −ΔCt)
SD(expression level − ΔCt)
Quartile25%
Median
Quartile75%
P
Normal(0–30)
53
19.43
1.43
18.47
19.46
20.43
NFI
Early(31–50)
13
19.34
1.03
18.89
19.50
19.84
0.681
Advanced(>51)
4
18.82
0.77
18.28
18.75
19.36
Normal(<0.3)
0
—
—
—
—
—
c/d
Early(0.3–0.7)
53
19.56
1.44
18.60
19.19
20.71
0.260
Advanced(>0.7)
50
19.18
1.28
18.16
19.09
19.89
RA
Normal(1.39–1.78)
33
20.33
1.25
19.06
19.67
20.65
0.011
Early(1.26–1.38)
9
19.94
1.52
18.87
19.50
21.50
Middle-advanced(0.81–1.25)
34
19.25
1.16
18.87
19.28
19.82
Advanced(<0.81)
9
18.68∧
1.50
17.76
18.21
18.91
RNFL
Normal(0.21–0.31)
39
19.79
1.34
18.94
19.62
20.59
0.360
Early(0.20–0.18)
7
19.82
1.48
19.28
19.83
20.39
Middle-advanced(0.13–0.17)
18
19.17
1.05
18.60
19.26
19.77
Advanced(<0.13)
21
19.40
1.47
18.21
19.06
19.82
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.
Tukey’s HSD test:P<0.05 (∧normal versus advanced).Table 11
Analysis ofHSP70-1 expression level depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Stage of POAG
Number of POAG
Mean (expression level −ΔCt)
SD(expression level − ΔCt)
Quartile25%
Median
Quartile75%
P
Normal(0–30)
53
2.93
0.88
2.35
3.08
3.53
NFI
Early(31–50)
13
3.04
0.92
2.21
3.46
3.64
0.814
Advanced(>51)
4
2.73
0.62
2.49
2.76
2.99
Normal(<0.3)
0
—
—
—
—
—
c/d
Early(0.3–0.7)
53
2.96
0.89
2.21
2.97
3.73
0.121
Advanced(>0.7)
50
3.23
0.84
2.69
3.46
3.84
RA
Normal(1.39–1.78)
33
3.07
0.93
2.35
3.38
3.83
0.004
Early(1.26–1.38)
8
2.68
0.74
2.03
2.64
3.35
Middle-advanced(0.81–1.25)
34
2.85
0.85
2.21
3.01
3.53
Advanced(<0.81)
9
3.94∧∗#
0.48
3.58
3.89
4.27
RNFL
Normal(0.21–0.31)
38
3.09
0.99
2.35
3.36
3.83
0.403
Early(0.20–0.18)
7
2.78
0.69
2.22
2.61
3.41
Middle-advanced(0.13–0.17)
19
2.80
0.83
2.01
2.84
3.51
Advanced(<0.13)
21
3.18
0.88
2.59
3.46
3.85
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.
Tukey’s HSD test:P<0.05 (∧normal versus advanced; ∗early versus advanced; #middle-advanced versus advanced).Table 12
Analysis ofGRIN2B expression level depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Stage of POAG
Number of POAG
Mean (expression level -ΔCt)
SD(expression level - ΔCt)
Quartile25%
Median
Quartile75%
P
Normal(0–30)
53
17.99
2.04
16.59
18.26
19.47
NFI
Early(31–50)
13
18.24
1.64
16.89
18.32
19.53
0.923
Advanced(>51)
4
18.03
2.06
16.43
18.02
19.62
Normal(<0.3)
0
—
—
—
—
—
c/d
Early(0.3–0.7)
53
18.02
1.70
16.78
18.32
19.43
0.614
Advanced(>0.7)
50
18.20
1.98
16.64
18.46
19.56
RA
Normal(1.39–1.78)
34
18.46
1.73
18.09
18.70
19.52
0.485
Early(1.26–1.38)
8
18.02
1.16
17.35
18.09
18.54
Middle-advanced(0.81–1.25)
34
18.05
2.08
16.43
18.34
19.53
Advanced(<0.81)
9
17.51
1.29
16.59
17.46
18.45
RNFL
Normal(0.21–0.31)
40
17.99
1.96
16.4
18.24
19.37
0.869
Early(0.20–0.18)
6
18.16
1.88
17.32
18.65
19.36
Middle-advanced(0.13–0.17)
19
18.34
1.88
17.65
18.87
19.49
Advanced(<0.13)
20
18.34
1.43
16.80
18.49
19.53
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.Table 13
Analysis ofAPOE expression level depending on the clinical parameters in patients with primary open angle glaucoma (POAG) for each eye counted.
Clinical parameter
Stage of POAG
Number of POAG
Mean (expression level -ΔCt)
SD(expression level - ΔCt)
Quartile25%
Median
Quartile75%
P
Normal(0–30)
53
12.55
3.88
10.42
11.32
12.68
NFI
Early(31–50)
12
11.24
0.94
10.50
10.89
12.20
0.735
Advanced(>51)
5
11.61
0.73
11.84
11.84
12.03
Normal(<0.3)
0
—
—
—
—
—
c/d
Early(0.3–0.7)
53
12.35
3.89
10.46
11.11
12.58
0.805
Advanced(>0.7)
50
12.09
2.91
10.87
11.12
11.98
RA
Normal(1.39–1.78)
38
11.55
2.52
10.45
11.07
11.67
0.412
Early(1.26–1.38)
6
14.92
6.27
10.76
11.67
19.39
Middle-advanced(0.81–1.25)
32
11.36
0.94
10.46
11.06
12.40
Advanced(<0.81)
9
11.53
0.39
11.24
11.68
11.86
RNFL
Normal(0.21–0.31)
46
11.72
2.43
10.78
11.07
12.18
0.875
Early(0.20–0.18)
6
11.51
1.01
10.46
11.49
12.58
Middle-advanced(0.13–0.17)
19
12.00
3.47
10.33
11.32
12.59
Advanced(<0.13)
20
11.51
1.98
10.56
11.22
11.60
NFI: nerve fiber index; c/d: cup disc ratio; RA: rim area; RNFL: retinal nerve fiber layer.


## 4. Discussion

Glaucoma is a disease characterized by degeneration of optic nerve axons and death of retinal ganglion cells and is frequently associated with high IOP. The progressive loss of vision often continues despite antihypertensive treatment; hence IOP-independent mechanisms are also implicated in glaucomatous degeneration [6]. However, many of the factors that cause degeneration of the optic nerve have not yet been known. Apoptotic RGC death is one of the hypotheses explaining the mechanism of glaucoma development. Typical apoptotic changes were observed in RGCs, including DNA degradation and blebbing of the plasma membrane [33, 34]. One of the mechanisms leading to apoptosis of RGCs is excitotoxicity [15]. In our research, we focused on determining the relationship between the −421 C/A polymorphism ofGRIN2B gene and the risk development of POAG.GRIN2B gene encodes the NR2B subunit of the NMDA receptor, which is responsible for the attachment of glutamate [28]. However, no significant differences in the distribution of genotypes and alleles were observed between the study group and the control group (P>0.05). We could not compare the obtained results with other outcomes relating to the relationship ofGRIN2B gene polymorphism with the risk of POAG because of the lack of data in the literature. In turn, study with Alzheimer’s patients has shown statistically significant differences in genotype (P=0.029) and allele (P=0.010) frequencies for −421 C/AGRIN2B in comparison with the control group [28]. Jiang and Jia (2009) using a luciferase assay have demonstrated a 34.69–39.79% decrease in transcriptional activity for −421 C allele ofGRIN2B promoter compared with −421 A allele. These data have shown that −421 C allele can affect the decreased transcriptional activity of theGRIN2B gene and thereby reduce the expression of the NR2B subunit.GRIN2B decreased expression can be associated with the presence of the putative zinc finger binding sites, the ras-responsive element binding protein (RREB) within the −421 C/A polymorphism [28]. The study has found that RREB may have negative transcription factors and reduce the promoter activity of some genes and consequently inhibit the protein expression [35]. However, our study showed no statistically significant association betweenGRIN2B gene polymorphism in POAG patients and mRNA expression levels (P>0.05).Suppression of neurotrophic factors can also lead to nerve cell death. Yang et al. (2012) have found that the mRNA transcription level of p53 was elevated in BDNF knocked down MDA-MB-231 cells compared with vector control [36]. An increase of p53 transcription induced by lower BDNF expression may enhance cell apoptosis, since p53 is a well-known proapoptotic protein [37]. BDNF has been found to mediate protection from apoptosis by p53 activation [38]. Numerous studies have indicated that the cell death of RGCs in glaucoma may be associated with a deficit of neurotrophins, including BDNF. Quigley et al. (2000) have shown that, in rats with experimentally induced glaucoma, BDNF flow to the retina is significantly reduced [39], whereas, in another study, using an animal model of glaucoma, it was demonstrated that injection of BDNF into the vitreous cavity is associated with greater RGC survival than untreated eyes [40]. Recent study has confirmed the participation of BDNF in maintaining the inner retinal integrity under normal conditions and adverse effects of neurotrophin scarcity on the retina and the optic nerve during development of glaucoma. BDNF(+/−) animals showed greater susceptibility to morphological, functional, and molecular degenerative changes in the retina caused by elevated IOP [41]. Our study showed no significant differences inBDNF mRNA levels in the blood between POAG patients and controls (P>0.05), while analysis of theBDNF expression level in correlation with the clinical parameters showed a decrease of mRNA levels with a decrease of the RA value (P=0.011), which confirms the protective role of BDNF in the development of glaucoma. Gao et al. (1997) have observed elevated mRNA expression ofBDNF after optic nerve injury in animal models [42]. Using the northern blot assay, they demonstrated a 38% elevation in BDNF expression above control levels 48 hours after optic nerve injury. Our analysis of the genotype and allele frequency ofBDNF (rs2030324) gene polymorphism showed a statistically significant increase in the frequency of the C/TBDNF genotype (OR 1.72; 95% CI, 1.23–2.39; P<0.001) and T/TBDNF genotype (OR 2.06; 95% CI, 1.36–3.12; P<0.001) as well as TBDNF allele (OR 1.45; 95% CI, 1.19–1.78; P<0.001) in POAG patients in comparison with healthy controls. Interestingly, our results showed the increase in cup disc ratio value associated with the T/TBDNF genotype (ANOVAP=0.004; Tukey’s HSD test: P<0.05; T/T versus C/T). Thus, the mechanism of glaucoma development according to theBDNF (rs2030324) polymorphism remains unclear. The data suggest that theBDNF (rs2030324) polymorphism may be considered a risk factor for POAG occurrence, which is not associated with its progression. However, there is a lack of literature data on the rs2030324 gene polymorphism association with the risk development of POAG, whereas, in the study performed by Vepsäläinen et al. (2005) it was demonstrated that there was no relationship of this polymorphism with risk occurrence of AD [43]. The rs2030324 polymorphism is located in the promoter site of the gene; hence it might have an influence on gene expression [44]. However, our research showed no statistically significant association ofBDNF genes polymorphism in POAG patients with mRNA expression levels (P>0.05).Recently, a lot of data have demonstrated that HSPs are also involved in the neuropathy of glaucoma. HSPs may have a pathogenic or protective effect in the development of glaucoma. A variety of stress conditions, including ischemia and excitotoxicity, can lead to overexpression of HSPs [20, 21]. Chidlow et al. (2014) have indicated that HSP70 and HSP27 expression was induced in the retina and optic nerve in four discrete models of RGC degeneration: axonal injury, somatodendritic injury, chronic hypoperfusion, and experimental glaucoma [45]. Meanwhile, Kwong et al. (2015) have demonstrated that pharmacological induction of HSP70 expression has a beneficial effect on the survival of injured RGCs. They have demonstrated that the overexpression of HSP70 in the retina was approximately twofold higher compared with expression in control animals without any treatment [46]. The 190 G/C polymorphism, which is located in the 5′UTR region, can affect the level of HSP expression. A functional study of this polymorphism has reported that the C allele is related to reduced promoter activity and a lower level of HSP70 protein, compared to the G allele [47]. The above data highlight the hypothesis that the decline of HSP levels leads to a reduction in their protective role in glaucoma pathogenesis. Our study demonstrated that meanHSP70-1 mRNA expression was significantly lower in the cases of individuals with the G/G genotype than in cases of minor allele carriers, that is, G/C heterozygotes and C/C homozygotes (P<0.05). In turn, this finding highlights the participation of HSPs in the pathogenesis of glaucoma by an autoimmune response. Moreover, analysis of theHSP70-1 expression level in correlation with the clinical parameters showed an increase of mRNA levels with a decrease of RA value (P=0.004) and consequently with the progression of POAG. Comparison of genotypes and allele distributions of the 190 G/CHSP70-1 gene polymorphism showed no statistically significant differences between POAG patients and controls (P>0.05). Likewise, Tosaka et al. (2007) have not found any relationship between POAG and the 190 G/C polymorphism, but they have indicated that another polymorphic variant (−110 A/C) inHSP70-1 gene is associated with development of glaucoma (AA versus AC + CC; P=0.007) [48]. Our data also demonstrated the relationship of 190 G/CHSP70-1 gene polymorphism with a progression of POAG based on NRI and RA clinical parameters (P=0.004, P=0.009, resp.). We observed an association of decreased RA value (rim area) and increased NFI value with the occurrence of the 190 C/C genotype ofHSP70-1 gene (Tukey’s HSD test: P<0.05; RA C/C versus G/C) confirming the role of 190 C/C genotype in the progression of POAG.The major risk factor for neurodegenerative diseases, including glaucoma, seems to be APOE. Research has shown that APOE is synthesized by Müller cells in the retina and secreted into the vitreous. Subsequently, the apolipoprotein E gets to the RGCs and is transported along the optic nerve, which may play a role in axonal nutrition [49]. It has also been suggested that the APOE isoform may be related to neuronal degeneration in glaucoma. Vickers et al. (2002) have shown that inheritance of theAPOEε4 allele may represent a risk factor for glaucoma, particularly for cases associated with normal intraocular pressures [50]. It is demonstrated that in Alzheimer’s disease APOEε4 interacts with β-amyloid, resulting in a decreased Aβ clearance, which leads to the accumulation of toxic amyloid plaques in the brain [26]. It was observed, in animal models with glaucoma, that β-amyloid is also formed in RGC [51]. Using a real-time PCR assay, we demonstrated thatAPOE gene had a significantly higher expression in the blood of POAG patients than in healthy subjects (P<0.01), which suggests its pathological role in the development of POAG. Moreover, our study showed that theAPOE −491 T allele was more frequent in POAG patients compared to healthy subjects (26% versus 21%; P=0.034). However, other studies have shown that the interaction of the −491 T allele with MYOC gene promoter (−1000 G) can lead to IOP increase and thereby the degeneration of the optic nerve [52]. Compared to our findings, mRNA expression in the blood of POAG with genotype of −491 A/TAPOE gene polymorphism did not show any statistical significance (P>0.05).


## 5. Conclusion

In conclusion, our results suggest thatBDNF (rs2030324) andAPOE (rs449647) genes’ polymorphisms might be associated with a risk of POAG occurrence in the Polish population. Moreover, our findings indicate thatHSP70-1 (rs1043618) gene polymorphism can affect the expression ofHSP70-1. These data might be useful in the better understanding of POAG etiology. Identification of SNPs associated with glaucoma may be helpful in the discovery of molecular markers, which might allow for a fast diagnosis, more effective treatment, and a better prognosis for patients suffering from glaucoma.



---

*Source: 258281-2015-03-29.xml*