Oxidative Medicine and Cellular Longevity

Volume 2013 (2013), Article ID 413024, 13 pages

http://dx.doi.org/10.1155/2013/413024

Research Article

Sulforaphane Enhances the Ability of Human Retinal Pigment Epithelial Cell against Oxidative Stress, and Its Effect on Gene Expression Profile Evaluated by Microarray Analysis

Liang Ye,¹ Ting Yu,¹ Yanqun Li,¹ Bingni Chen,¹ Jinshun Zhang,¹ Zhongyang Wen,¹ Bo Zhang,¹ Xiaohong Zhou,² Xiaoqing Li,¹ Feng Li,² Wei Cao,² and Zhong Huang¹

¹Institute of Biotherapy, Shenzhen University School of Medicine, Nanhai Ave 3688, Shenzhen, Guangdong 518060, China

²Department of Ophthalmology, Dean A. McGee Eye Institute, University of Oklahoma Health Sciences Center, 608 Stanton L. Young Blvd., Oklahoma City, OK 73104, USA

Received 5 July 2013; Accepted 22 August 2013

Academic Editor: Giles E. Hardingham

Copyright © 2013 Liang Ye et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

To gain further insights into the molecular basis of Sulforaphane (SF) mediated retinal pigment epithelial (RPE) 19 cell against oxidative stress, we investigated the effects of SF on the regulation of gene expression on a global scale and tested whether SF can endow RPE cells with the ability to resist apoptosis. The data revealed that after exposure to H₂O₂, RPE 19 cell viability was increased in the cells pretreated with SF compared to the cell not treated with SF. Microarray analysis revealed significant changes in the expression of 69 genes in RPE 19 cells after 6 hours of SF treatment. Based on the functional relevance, eight of the SF-responsive genes, that belong to antioxidant redox system, and inflammatory responsive factors were validated. The up-regulating translation of thioredoxin-1 (Trx1) and the nuclear translocation of Nuclear factor-like2 (Nrf2) were demonstrated by immunoblot analysis in SF treated RPE cells. Our data indicate that SF increases the ability of RPE 19 cell against oxidative stress through up-regulating antioxidative enzymes and down-regulating inflammatory mediators and chemokines. The results suggest that the antioxidant, SF, may be a valuable supplement for preventing and retarding the development of Age Related Macular Degeneration.

1. Introduction

Oxidative stress has been shown to be a major factor in the etiology of age-related macular degeneration (AMD) [1], which is a common cause of visual loss among individuals who are over 65. RPE have been shown to play a crucial role in defenses against photoreceptor damage by absorbing and filtering light, scavenging free radicals, and removing lipids, proteins, and DNA damaged by photo oxidation. The pathology of AMD is thought to be secondary to the degeneration of retinal pigment epithelial (RPE) cells. This is supported by the two early signs of AMD, drusen and lipofuscin, which are formed within RPE [2]. Furthermore, the degeneration of RPE cells is often observed in the early stages of AM before the degeneration of photoreceptors and vision impairments [3]. Due to direct exposure to light [4], high metabolic activity [5], significant oxidative load from the phagocytosis of photoreceptor outer segments [5], and a high proportion of polyunsaturated fatty acids [6], RPE cells are vulnerable to oxidative damage and resulting dysfunction and degeneration [7]. Therefore, protecting RPE cells from photooxidative damage and inflammatory reaction is particularly important in retarding the progression of AMD processes [8].

Sulforaphane (SF), a naturally occurring antioxidant found as a precursor of glucosinolate in broccoli has, over the last several years, emerged as an antiphotoreceptor degeneration agent [9]. Pretreatment of human adult RPE 19 cells with SF provided a powerful and long-term protection against the toxicities of various oxidants and photo-oxidative damage by upregulating the expression of antioxidant and detoxification enzymes and inhibiting inflammatory responses [10]. The extent of photooxidative protection by SF has been shown to correspond to the quantitative induction of phase 2 response enzymes such as NAD(P)H:quinone oxidoreductase and increases in the level of reduced glutathione [9]. Intraperitoneal and oral administration of SF increased the expression of Trx in retinal tissue and upregulated genes with cytoprotective effects against light-induced damage to photoreceptors and RPE in mice [11]. In our previous study, we showed that systemic administration of SF could delay photoreceptor degeneration via inducing the activity of ERKs and up-regulating Trx/TrxR/Nrf2 system in the retinas of tub/tub mice [12]. In this study, we aimed to gain further insights into the molecular basis of SF mediated RPE 19 cells against oxidative stress.

2. Materials and Methods

2.1. Human RPE 19 Cell Culture

Human RPE 19 cells (ATCC, Manassas, VA) were grown in Dulbecco’s modified Eagle’s medium (DMEM; Invitrogen, Carlsbad, CA). The medium was supplemented with 2 mM glutamine, 10 IU/mL penicillin, 10 μg/mL streptomycin, and 10% heat-inactivated fetal calf serum (FCS; Invitrogen). Cells were grown in an incubator with a humidified atmosphere of 5% CO₂ and 95% air at 37°C, and were trypsinized and seeded into 6-well flat-bottomed plates (Falcon, Fort Worth, TX) containing 3 mL of the same medium. After 48 hours of incubation, the density of the cells reached 60 to 70% confluence, and treatments of the cells were then conducted.

2.2. Detection of RPE 19 Cell Apoptosis by Flow Cytometry

Cultured RPE 19 cells were pretreated with or without 10 μM SF for 12 hours, then phosphate-buffered saline (PBS) or 400 μM of H₂O₂ were prepared in the cell culture medium and added into the cell cultures. RPE 19 cells were collected at 0, 6, 12, and 18 hours after treatments. The cells were collected after trypsin digestion, and apoptosis was determined by flowcytometry using Annexin V-FITC kit (Beckman Coulter, Fullerton, CA) according to the manufacturer’s instructions. Briefly, human RPE 19 cells (10⁵/mL) were washed with PBS and resuspended in binding buffer in the dark before staining with 2 μL of annexin V (0.5 μg/mL) and 10 μL propidium iodide (0.6 μg/mL) for 10 min at room temperature. After staining, cells were analyzed immediately using a FACScan flowcytometer (Beckman Coulter, Fullerton, CA) with simultaneous monitoring of green fluorescence (530 nm, 30 nm bandpass filter) for annexin V-FITC and red fluorescence (long-pass emission filter that transmits light > 650 nm) for propidium iodide. A total of 30,000 events were collected and analyzed.

2.3. Microarray Analysis of mRNA of SF-Treated Human RPE 19 Cells

2.3.1. RNA Sample Preparations

Cultured RPE 19 cells were pretreated with or without 10 μM SF for 12 hours, quadruplicate cultures of RPE 19 cells were collected at 0, 6, and 12 hours after treated with 400 μM of H₂O₂. RNA isolations from cultured RPE 19 cells were carried out using Trizol reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s instruction and purified with an RNA cleanup kit (Qiagen; Valencia, CA). The concentration of RNA was determined with a Nanodrop scanning spectrophotometer, and then qualitatively assessed for degradation using the ratio of 28 : 18 s rRNA obtained from a capillary gel electrophoresis system (Agilent 2100 Bioanalyzer, Agilent Technologies).

2.3.2. Labeling and Hybridization

cDNA synthesis, hybridization, and staining were performed as specified by Affymetrix (Santa Clara, CA). Briefly, 2.8 μg of total RNA was primed with T7-oligo-dT and reversily transcribed with SuperScript II, followed by the production of double-stranded cDNA with E. coli DNA polymerase. cRNA was transcribed in vitro from the T7 promoter using a biotinylated ribonucleotide analog and then fragmented to approximately 100 nt. cRNA was hybridized to Human Genome U133 Plus 2.0 GeneChip microarrays. These arrays contain probes for approximately 47,000 transcripts in the human genome. GeneChips were washed and stained using an Affymetrix automated GeneChip 450 fluidics station and scanned with an Affymetrix 3000 7G scanner.

2.3.3. Normalization of Array Data

All array preprocessing was performed in the R/Bioconductor Package, “Affy.” The raw Affymetrix Perfect Match probes were normalized by the RMA method combined with median-polish. The marginal data distributions were adjusted through quantile normalization. The resulting normalized values were imported into BRB ArrayTools (Biometric Research Branch, National Cancer Institute) where they were log transformed. Genes were filtered by using the “Log Expression Variation Filter” to screen out genes that are not likely to be informative, based on the variance of each gene across the arrays. The filter was set to exclude genes that fell below the 75th percentile of gene variance. We identified genes that were differentially expressed between any two classes (0 to 6, and 0 to 12) by using a multivariate permutation test [13]. We used the multivariate permutation test to provide a median false discovery rate (FDR) of 5% (80% confidence). The test statistics used were random variance -statistics for each gene [14]. Although -statistics were used, the multivariate permutation test is nonparametric and does not require the assumption of Gaussian distributions. Data were exported to Excel where averages of the classes were used to calculate expression ratios. Genes that were differentially expressed (<5% FDR) and simultaneously had a ratio of 2-fold or larger were used in further analyses.

2.4. Real-Time Quantitative Reverse Transcription (qRT-PCR)

Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed as previously described [15]. SYBR Green was used as a fluorescent detection dye, the qRT-PCR performed in a Bio-Rad iCycler (Hercules, CA). Eight genes were chosen for the confirmation on the basis of their functional importance. The RNA was harvested from RPE 19 cells under similar treatments as used for the microarray study. Fold changes (mean ± SD) were calculated from four independent replicate groups.

2.5. Semiquantitative Reverse Transcription (RT)-PCR Analysis

Performance of sq-RT-PCR was as previously described [15]. Briefly, total mRNA was extracted by Trizol reagent, and first-strand cDNA was synthesized with the kit of SuperScript First-Strand Synthesis System (Invitrogen, Carlsbad, California), according to the manufacturer’s instructions. The same primer pairs (Table 1) used for real-time qRT-PCR were also used for sqRT-PCR.

Table 1: List of oligonucleotides and products size for real-time quantitative PCR and semi-quantitative RT-PCR.

Accession No.
Gene
Forward
Reverse
Product size (bp)

NM_000903
NQO1
5′AAGGATGGAAGAAACGCCTGGAGA
5′ GGCCCACAGAAAGGCCAAATTTCT
156

NM_080725
SRXN1
5′ CCCATCGATGTCCTCTGGATCAAA
5′ AGGTACACCCTTAGGTCTGAGAGA
155

NM_002061
GCLM
5′ CTGCTGTGTGATGCCACCAGATTT
5′ GTGCGCTTGAATGTCAGGAATGCT
145

NM_006472
TXNIP
5′ TTGGCAGCAGATCAGGTCTAAGCA
5′ AGAGGAGTTGTTGGGCTCTCCAAT
166

NM_002982
CCL2
5′ TCGCTCAGCCAGATGCAATCAATG
5′ TCTCCTTGGCCACAATGGTCTTGA
156

NM_000710
BDKRB1
5′ CTGCACAGAGTGCTGCCAACATTT
5′ GCAAGCCCAAGACAAACACCAGAT
166

NM_006164
NRF2
5′ AACTACTCCCAGGTTGCCCACATT
5′ AGCAATGAAGACTGGGCTCTCGAT
174

NM_003329
TRX1
5′ GGACGCTGCAGGTGATAAACTTGT
5′ GCAACATCCTGACAGTCATCCACA
153

NM_002046
GAPDH
5′ TCTCCTCTGACTTCAACAGCGACA
5′ CCCTGTTGCTGTAGCCAAATTCGT
126

2.6. Western Blot Analysis

Western blot analysis was performed as described previously [16]. RPE 19 Cells were treated the same as described for microarray analysis, collected and lysed in buffer containing 15 mM Tris-HCl (pH 7.6), 150 mM NaCl, 0.1 mM EDTA, 10% glycerol, 1% Triton X-100, and protease inhibitor cocktail (Sigma; St. Louis, MO). Supernatants were obtained after centrifugation at 20,000 ×g in a microcentrifuge for 15 min at 4°C. For Nrf2 nuclear translocation studies, nuclear proteins were extracted by Qiagen Q protein Cell compartment Kit according to the manufacturer’s instructions (Qiagen; Valencia, CA). Protein concentrations were determined with a BCA protein assay kit (Pierce; Rockford, III). The immunoreactive proteins were detected using enhanced chemiluminescence reagents (Amersham, Piscataway, N.J.) and a LumiImager (Fujuifilm Medical Systems USA Inc., Stamford, Conn.). Loading controls were carried out by probing with anti-β-actin for Trx1. Antibodies against β-actin and Nrf2 were from Santa Cruz Biotechnology, Inc. (Santa Cruz, CA) and anti-Trx1 was from Abcam (Cambridge MA).

2.7. Statistical Analysis

Results are expressed as mean ± SD. Statistical differences between the control and different time points were determined by using one-way analysis of variance and the -test. A values < 0.05 was considered significant.

3. Results

3.1. Enhancing the Ability of RPE 19 Cells to Resist

To test whether SF could increase the ability of RPE 19 cells to withstand oxidative stress, the dose dependent experiments were conducted. The experiments showed that 10 μM SF was the optimal amount of SF to endow the ability of antioxidative stress for RPE 19 cells (see Figure 1 in Supplementary Material available online at http://dx.doi.org/10.1155/2013/413024). To asses the antiappototic ability endowed by SF in RPE 19 cells, the cells were pretreated with 10 μM SF or PBS (control) for 12 hours, and then 400 μM H₂O₂ was to induce cellular apoptosis. Representative flow cytometry images showed that the apoptotic rates in cultured RPE 19 cells did not differ between the groups treated with PBS or SF alone (Figures 1(a) and 1(b)). However, in those cultures treated with H₂O₂, RPE cell viability was much higher in the cells pretreated with SF than in the PBS treated cultures. (Figures 1(c) and 1(d)). The data from four independent experiments, compiled and analyzed quantitatively, are shown (Figure 1(e)). By comparison of the different time points for H₂O₂ treatment, it is seen that the peak of cellular apoptosis occurs at 12 hours. The percentage of apoptotic RPE cells was 48% in the group treated with PBS and H₂O₂, whereas it was only 14% in the cultures treated with SF and H₂O₂. Statistical analysis showed that the value was less than 0.01 between the groups with and without SF treatment. The percentage of apoptotic cells increases from 6 to 12 hours (19% to 48%) but decreases after 18 hours (35%) with H₂O₂. ( value < 0.01 (Figure 1(e))). This decrease at 18 hours is most likely due to cells already having gone through apoptosis and simply not present for detection at this time point. The antioxidative effects of SF against oxidative stress were observed at 6 hours; reaching a maximum at the 12-hour time point and were slightly reduced at 18 hours.

(a)

(b)

(c)

(d)

(e)

Figure 1: Sulforaphane (SF) endows the ability of antioxidative stress to RPE 19 cells from H₂O₂ induced apoptosis. Flow cytometry images and histogram presentations show cultured RPE 19 cells treated with or without Sulforaphane (SF) and H₂O₂. (a) Controls treated with PBS, or (b) SF only; (c) cells pretreated with PBS or (d) SF for 12 hours and then incubated with 400 μM H₂O₂ for 12 hours. Quadrant E1 (in cytometry images (a), (b), (c), and (d)) indicates cells undergoing apoptosis; E2 represents cells that died of secondary necrosis; E3 represents live cells; and E4 represents necrotic cells. The bar graph (e) shows RPE 19 cell apoptotsis under four different treatment conditions at four time points. The data came from four biological replicates, and mean ± SD of apoptotic rate are presented. Significant difference is indicated by asterisks; ** represents .

3.2. Identification of Genes Responsive to SF Treatment by Microarray Analysis

To investigate the antiapoptotic mechanism by SF in human RPE 19 cells, the cells were exposed to 10 μM SF for up to 12 hours, and total RNA samples were collected at 0, 6, and 12 hours after treatment with SF and analyzed by microarray analysis. The genes responsive to SF treatment were selected by the multivariate permutation test [13]. All genes that were at least two fold differentially expressed among any of the 3 treatment time points were designated as “hypervariable genes” and input into Affymetrix NetAffx (Affymetrix, Santa Clara, CA) for full annotation. These genes were further refined by eliminating genes with no symbol and with expression less than 50 (~background). From the 47,000 genes in the array, 69 genes were selected as “hypervariable genes.”

The normalized, logged, and averaged expression values of the selected 69 genes from four treatments were input into SpotFire DecisionSite 9.0 software (TIBCO Software, Palo Alto, CA) to create an expression heatmap. The image of the heatmap was created by hierarchical clustering function in SpotFire with Ward’s method, which represents the changes and the descriptions of these genes. Compared to 0 h, 31 of 69 genes were upregulated, and the rest of 38 were downregulated in RPE cells at 6 h and 12 h treated with SF. Green represents a lower level of gene expressions, and red represents a higher level of gene expressions (Figure 2).

Figure 2: Wards Hierarchical Clustering Analysis of the gene expression at 0, 6, and 12 hours after treated with 400 μM of H₂O₂ in RPE 19 cells pretreated with 10 μM SF for 12 hours. Green represents low score of gene expressions; red represents high score of gene expressions. Total of 69 genes were in the records.

Detailed information about these genes is presented (Table 2). These sixty-nine genes that had known annotation information belonged to various categories, including genes described as antioxidant, detoxification, cell growth regulation, antiapoptosis, apoptosis, angiogenesis, immunoregulatory, inflammatory response, and signal transduction. For each gene, ratios against 0 hour control from four treatments were used in clustering analysis. Thus, genes that clustered together have similar dynamic patterns. The dendrogram (not shown) was used to group genes into 11 distinct clusters (Table 2).

Table 2: Hypervariable genes responsive to SF treatment in cultured human RPE cells*.

Accession no.
Gene symbol
Description
Cluster order
Cluster

AI034387
TBC1D8
TBC1 domain family, member 8 (with GRAM domain)
1
1

AU152969
TKT
Transketolase (Wernicke-Korsakoff syndrome)
2
1

AI298887
CSNK2A1
Casein kinase 2, alpha 1 polypeptide
3
1

BF515595
PIP5K1A
Phosphatidylinositol-4-phosphate 5-kinase, type I, alpha
4
1

BE620457
NRP1
Neuropilin 1
5
1

AW026379
TNFRSF11A
Tumor necrosis factor receptor superfamily,
6
1

Member 11a, NFKB activator

AW071793
MXD1
MAX dimerization protein 1
7
1

AY137580
CDC25A
Cell division cycle 25A
8
1

M15565
TRA
T cell receptor alpha locus
9
2

BC017854
EMP1
Epithelial membrane protein 1
10
2

AW772192
ERBB4
V-erb-a erythroblastic leukemia viral
11
2

Oncogene homolog 4 (avian)

AW264269
UACA
Uveal autoantigen with coiled-coil
12
2

Domains and ankyrin repeats

NM_021146
ANGPTL7
Angiopoietin-like 7
13
2

NM_006472
TXNIP
Thioredoxin interacting protein
14
2

BC032027
SLIT3
Slit homolog 3 (Drosophila)
15
2

AF455755
BCL2L11
BCL2-like 11 (apoptosis facilitator)
16
2

AF161419
ING3
Inhibitor of growth family, member 3
17
2

M13436
INHBA
Inhibin, beta A (activin A, activin AB alpha polypeptide)
18
2

NM_005360
MAF
V-maf musculoaponeurotic fibrosarcoma
19
2

Oncogene homolog (avian)

NM_003014
SFRP4
Secreted frizzled-related protein 4
20
2

X57348
SFN
Stratifin
21
2

AJ224869
CXCR4
Chemokine (C-X-C motif) receptor 4
22
3

NM_003877
SOCS2
Suppressor of cytokine signaling 2
23
3

NM_000585
IL15
Interleukin 15
24
3

NM_014862
ARNT2
Aryl-hydrocarbon receptor nuclear translocator 2
25
3

NM_000710
BDKRB1
Bradykinin receptor B1
26
3

NM_014391
ANKRD1
Ankyrin repeat domain 1 (cardiac muscle)
27
3

NM_001561
TNFRSF9
Tumor necrosis factor receptor superfamily, member 9
28
3

NM_000359
TGM1
Transglutaminase 1 (K polypeptide epidermal type I,
29
4

Protein-glutamine-gamma-glutamyl transferase)

BE973687
HES1
Hairy and enhancer of split 1, (Drosophila)
30
4

NM_018444
PPM2C
Protein phosphatase 2C, magnesium-dependent,
31
4

Catalytic subunit

AI263909
RHOB
Ras homolog gene family, member B
32
4

N21202
DAB2
Disabled homolog 2, mitogen-responsive
33
4

Phosphoprotein (Drosophila)

BF432648
TNFRSF19
Tumor necrosis factor receptor superfamily, member 19
34
4

AW779556
STK38L
Serine/threonine kinase 38 like
35
4

N55072
PRDX6
Peroxiredoxin 6
36
5

NM_013370
OKL38
Pregnancy-induced growth inhibitor
37
5

AV705233
MGST1
Microsomal glutathione S-transferase 1
38
5

NM_002166
ID2
Inhibitor of DNA binding 2, dominant negative
39
6

Helix-loop-helix protein

AB044088
BHLHB3
Basic helix-loop-helix domain containing, class B, 3
40
6

AA173223
FLJ37927
CDC20-like protein
41
6

AI888037
GSR
Glutathione reductase
42
6

AB018580
AKR1C3
Aldo-keto reductase family 1, member C3
43
6

(3-alpha hydroxysteroid dehydrogenase, type II)

BC002670
SERTAD1
SERTA domain containing 1
44
7

AK021780
PTDSR
Phosphatidylserine receptor
45
7

BC000737
RGS4
Regulator of G-protein signalling 4
46
7

X59065
FGF1
Fibroblast growth factor 1 (acidic)
47
7

NM_002053
GBP1
Guanylate binding protein 1,
48
7

Interferon-inducible, 67 kDa

NM_002575
SERPINB2
Serpin peptidase inhibitor, clade B
49
7

(ovalbumin), member 2

BG250721
KLF6
Kruppel-like factor 6
50
7

NM_005346
HSPA1B
Heat shock 70 kDa protein 1B
51
7

NM_002133
HMOX1
Heme oxygenase (decycling) 1
52
7

AI459194
EGR1
Early growth response 1
53
7

NM_000402
G6PD
Glucose-6-phosphate dehydrogenase
54
8

NM_001498
GCLC
Glutamate-cysteine ligase, catalytic subunit
55
8

NM_001394
DUSP4
Dual specificity phosphatase 4
56
8

NM_006328
RBM14
RNA binding motif protein 14
57
8

AW300045
HIPK2
Homeodomain interacting protein kinase 2
58
8

Genes are in the same order as presented in Figure 2.

3.3. Confirmation of Candidate Genes from Microarray mRNA Expression Patterns by Real-Time qRT-PCR and sqRT-PCR

To confirm the gene array expression data, we performed qRT-PCR and sqRT-PCR. Based on their functional importance and the research project relevance, eleven of the 69 hypervariable genes were selected for confirmation microarray mRNA results. The expression patterns of eight genes were confirmed by qRT-PCR and sqRT-PCR. They are (1) NAD(P)H:quinone oxidoreductase (NQO1), (2) sulfiredoxin 1 homolog (SRXN1), (3) glutamate-cysteine ligase modifier subunit (GCLM), (4) thioredoxin interacting protein (TXNIP), (5) chemokine (C-C motif) ligand 2 (CCL2), (6) bradykinin receptor B1 (BDKRB1), (7) thioredoxin 1 (Trx1), and (8) transcription factor NF-E2-related factor 2 (Nrf2).

The antioxidant enzymes upregulated by SF in the cultured RPE 19 cells included: NQO1, a reductase, which catalyzes the beneficial two-electron reduction of quinines to hydroquinones (Figures 3(a) and 3(b)); SRXN1, a redox protein, which generates cysteine from cysteine sulfinic acid; (Figures 3(c) and 3(d)); GCLM is modulatory subunit of glutamate-cysteine ligase that catalyzes the first, and rate-limiting, step in glutathione (GSH) biosynthesis (Figures 3(e) and 3(f)); and Trx1 (Figures 4(a) and 4(b)) a multifunctional redox regulator, which not only serves as a disulfide-reducer for oxidized cysteine groups on the proteins, but also is involved in various intracellular signal transduction pathways [17]. For different time points of SF treatment, the expressional levels of SRXN1, GCLM, and Trx1 only had a small variations from 6 to 12 hours, they are 3.1 : 3.6, 4.1 : 4.6, and 1.72 : 1.57, respectively, whereas NQO1 was almost double of its expression level from 6 hours to 12 hours with SF treatment (2.2 : 4.2). The expression patterns of NQO1, SRXN1, GCLM, and Trx1 detected by qRT-PCR were basically consistent with the results of microarray analysis (Table 3).

Table 3: Fold changes of gene expression between microarray/real-time quantitative PCR.

Accession no.
Gene symbol
Fold change against 0 hour

0
6
12

NM_000903
NQOl
1
2.02/2.22
4.2/4.34

NM_080725
SRXN1
1
3.04/3.31
3.87/3.77

NM_002061
GCLM
1
4.94/4.43
4.86/4.71

NM_003329
TRX1
1
1.46/1.72
1.53/1.57

NM_006472
TXN1P
1
0.28/0.26
0.32/0.33

NM_002982
CCL2
1
0.24/0.23
0.09/0.09

NM_000710
BDKRB1
1
0.42/0.40
0.36/0.25

NM_006164
NRF2
1
1.02/1.04
0.98/1.02

(a)

(b)

(c)

(d)

(e)

(f)

Figure 3: SF induces and increase in the transcripts for NQO1, SRXN1, and GCLM in the RPE 19 cells over time. qRT-PCR was used to show progressive increases over time in the amount of mRNA for NQO1 ((a), (b)), SRXN1 ((c), (d)), and GCLM ((e), (f)) following addition of SF to the cultures. GADPH was used as a loading control. The data for qRT-PCR were normalized with GADPH. The fold changes were calculated from the groups of 6 and 12 hours of SF treatment versus the 0 hour SF treatment. Data are presented as mean ± SD ( in each group). Significant differences are indicated by asterisks, ** represents .

(a)

(b)

(c)

(d)

Figure 4: SF increases expression of Trx1 in RPE19 cells. The amount of Trx1 mRNA was shown by qRT-PCR and sqRT-PCR ((a) and (b)) to increase at least 6 hours and remained higher than control levels at 12 hours. However, Western blot data ((c) and (d)) showed a progressive increase in the amount of Trx1 protein from 6 h to 12 h time points. Data are presented as mean ± SD ( in each group of real-time qRT-PCR; in each group of immunoblots). Significant differences are indicated by asterisk; * represents , and ** represents .

The transcriptional levels of TXNIP, CCL2, and BDKRB1 (Figure 5) were down regulated after treatment with SF in the RPE 19 cells. The peak inhibition of TXNIP transcription by SF was at 6 hours; however, the peak inhibition of expression of CCL2 and BDKRB1 occurred at 12 hours with SF. The microarray and qRT-PCR profiles of the expression of these three genes quantified were similar (Table 3). Both CCL2 and BDKRB1are inflammatory responsive factors; however, TXNIP is an endogenous biological inhibitor of Trx1.

(a)

(b)

(c)

(d)

(e)

(f)

Figure 5: SF down regulates expression of TXNIP, CCL2 and Bdkrb1 in RPE 19 cells. The amount of mRNA for TXNIP ((a), (b)), CCL2 ((c), (d)), and Bdkrb1 ((e), (f)) were determined by qRT-PCR ((a), (c), and (e)) and by sqRT-PCR ((b), (d), and (f)). GADPH was used as a loading control for normalization. Data are presented as mean ± SD ( in each group). Significant differences are indicated by asterisk, ** represents .

3.4. Upregulated Trx1 and Downregulated TXNIP by SF

Our microarray data showed a slight increase in the transcriptional level of Trx1 in the RPE 19 cells treated with SF for 6 and 12 hours compared to the group treated with SF for 0 hour, respectively (1.46 : 1 and 1.53 : 1). The expression of Trx1mRNA detected by sqRT-PCR in the groups with or without SF treatment showed a pattern similar to the microarray analysis (Figure 4(b)). By qRT PCR, the fold change from 0 hour to 6 hour was 1.72 : 1 and from 0 hour to12 hour was 1.57 : 1 (Figure 4(a) and Table 3). Due to only a slight increment of the Trx1 transcriptional level in SF treated group compared to control group, immunoblot analysis was applied to look at the translational level of Trx1 under the conditions of SF treated for 0, 6, and 12 hours. As shown in Figure 4(c), the protein expression level was indeed increased in the cells treated with SF compared to untreated RPE 19 cells. Densitometric analysis showed that the amount of Trx1 protein in the cells treated with SF for 6 hours was 65% higher than that in the control cells whereas the cells treated with SF for 12 hours had 87 percent more Trx1 than untreated cells (Figures 4(c) and 4(d)).

A surprising result seen in the microarray data (Figure 2) and confirmed by sqRT-PCR and qRT-PCR (Figures 5(a) and 5(b)) was the expression of TXNIP, an endogenous inhibitor of Trx1, dramatically inhibited by SF. qRT-PCR showed that 6 hours with SF resulted in about a four fold inhibition of TXNIP and this had only decreased to about 3 fold after 12 hours exposure to SF (Figure 5(a)). These results suggest that SF might coordinate the expression of Trx1 and TXNIP to increase the activity of Trx1 in RPE 19 cells.

3.5. SF Mediates the Nuclear Translocation of Nrf2

Several genes, which contain consensus antioxidant response element (ARE) promoters, such as NQO1, GCLM, and Trx1 have been shown to be upregulated by SF in the microarray experiments and confirmed by sqRT-PCR and qRT-PCR. Gene induction through ARE involves a process that is dependent on the nuclear factor-erythroid 2p45-related factor 2 (Nrf2). Surprisingly, in the microarray experiments, Nrf2 did not show an elevated transcriptional level following SF treatment and this result was confirmed by sqRT-PCR and qRT-PCR (Figures 6(a) and 6(b)). To test whether the up regulation of NQO1, GCLM, and Trx1 was due to the activation of Nrf2, nuclear extracts from the RPE 19 cells treated with or without SF were subjected to immunoblot analysis with an antibody against Nrf2. Compared to control, a heavy immunostaining of Nrf2 was found in the lane of treated with SF for 6 hours, after 12 hours of SF treatment, the amount of Nrf2 in the nuclei was less than that of 6 hours, but still higher than that the group of control (Figures 6(c) and 6(d)). The same membranes were stripped and probed with anti- actin (Figure 6(c)). The absence of this cytoplasmic protein indicates the purity of the nuclear extractions from RPE 19 cells.

(a)

(b)

(c)

(d)

Figure 6: Histogram presentation of fold change of Nrf2 quantified by real-time qRT-PCR (a) and images of sqRT-PCR with GADPH as loading control (b). Nuclear extractions of the cultured RPE 19 cells treated with or without SF were probed with anti-Nrf2 (c). Densitometric analysis of western blots (d). The amount of Nrf2 in the nuclear fraction increased in the presence of SF compared to untreated cells. Data are presented as mean ± SD ( in each group of real-time qRT-PCR; in each group of immunoblots). Significant differences are indicated by asterisk; * represents , and ** represents .

4. Discussion

We have demonstrated for the first time that SF significantly inhibits H₂O₂ induced human RPE cell apoptosis. This result is meaningful because the accumulated evidence indicates that RPE 19 cells impaired by oxidative stress, could alter the extra cellular environment of photoreceptors cells. This would include changes in metabolic products and nutrient transport [18], neurotrophic factor production [19], and clearance of molecules damaged by photo-oxidation [20], and could contribute to photoreceptor cell degeneration [21]. The gene expression profile analysis in this study showed that antioxidative effects of SF on the survival of human RPE cells occur mainly through the induction of the expression of antioxidant genes and the inhibition of anti-inflammatory responsive genes. Therefore, SF could be a useful dietary supplement for the prevention of photo-oxidative stress-related retinal diseases including AMD.

To study the mechanism underlying the SF mediated antioxidative effect of RPE 19 cells, a DNA microarray approach was used to analyze the variations in gene expression in RPE 19 cells in response to SF. Transcriptional levels of 69 genes were regulated by SF in RPE 19 cells. The genes affected code for proteins whose activities are involved in a variety of cellular processes including antioxidation, detoxification, cell growth regulation, antiapoptosis, apoptosis, angiogenesis, immunoregulatory, inflammatory response and signal transduction. The change in expression of eight of the 69 hypervariable genes was confirmed by qRT-PCR, and sqRT-PCR. The specific genes are NQO1, SRXN1, GCLM, TRX1, NRF2, BDKRB1, TXNIP, and CCL2.

The genes which were upregulated in RPE cells treated with SF were NQO1, SRXN1, GCLM, and TRX1. They all code for important antioxidant and detoxification enzymes, play crucial roles in cellular antioxidative stress, antiapoptosis, detoxification, anticarcinogenesis and signal transduction. NAD(P)H:quinone oxidoreductase (NQO1) is involved in the cellular defense against oxidative stress via direct reduction and detoxification of highly reactive quinines [22]. In addition, NQO1 has been shown to stabilize p53 in response to DNA-damaging stimuli [23]. Sulfiredoxin 1 (Srxn1), a small thiol containing protein, acts as a regulator of the redox-activated thiol switch in cells by catalyzing deglutathionylation of specific proteins in response to reactive oxygen species [24]. Dr. Hardingham studies discovered that Srxn1 contains a AP-1 site within its ARE, and shows that the gene can be induced by Nrf2 activator CDDO-TFEA [25–27]. The modulatory subunit of glutamate-cysteine ligase (GCLM) is a limiting factor for forming glutamate-cysteine ligase (GCL) [28]; an enzyme which catalyzes the first and rate-limiting step in glutathione (GSH) biosynthesis. GSH serves as a reductant in numerous biochemical reactions which counteract oxidative events and protect protein thiol groups [29]. Thioredoxin 1 (Trx1) catalyzes the reversible reduction of disulfides by utilizing its cysteinyl residues in the Cys-X-X-Cys active site. Through its function as a scavenger of reactive oxygen species, Trx1 plays a crucial role in cellular defense against various oxidative stresses [30], inflammatory responses [31], and light-induced photoreceptor degeneration [32]. Upregulation of these four important endogenous antioxidant proteins by SF in human RPE 19 cells provides direct evidence that SF could stimulate a wide range of antioxidant enzymatic activities in RPE cells in vivo.

Thioredoxin interacting protein (Txnip) is one of the three proteins down regulated by SF in RPE cells and confirmed by qRT-PCR and sqRT-PCR. Txnip, a ubiquitously expression protein, has been demonstrated to bind to thioredoxin and inhibit its activity [33]. Down-regulation of the expression of Txnip without affecting thioredoxin expression and leading to a net increase in the activity of thioredoxin has also been shown to occur in vascular endothelial cells, smooth muscle cells, and cardiomyocytes [34]. Thus, the antioxidative capacity of the RPE cells is increased by Txnip downregulation whereas they can be made more susceptible to oxidative stress and apoptosis by Txnip upregulation [35].

By decreasing cellular redox capacity, the proteins and peptides that contain thiol group of cysteinyl side chains will be susceptible to a number of oxidative modifications, such as the formation of inter- or intramolecular disulfides between proteins or low-molecular-weight peptide (glutathione) thiols and oxidization of sulfenic to sulfinic and to sulfonic acid [36]. These modifications result in the changes of structures and functions of numerous proteins that contain cysteines, and the alterations of their catalytic activities and protein-protein interaction affinity of the proteins. It is worth noting that the reductive ability of the redox system in RPE 19 cells treated with SF was upregulated by increasing the expression of two thiol reductases Srxn1 and Trx1 and by decreasing the expression of a Trx1 endogenous biological inhibitor Txnip. These indicate that the intracellular redox reduction activity is strongly stimulated by SF and imply that the redox system plays an important role in the defense against H₂O₂ induced RPE 19 cell apoptosis.

It has been shown that oxidative stress and inflammation are deeply interrelated, and each may cause the other [37]. The upregulation of antioxidant enzymatic activities and down regulation of inflammatory reactions, such as inhibiting the production of chemokines and inflammatory mediators, will coordinately provide a against oxidative stress and inflammation in RPE cells. Chemokine (C-C motif) ligand 2 (CCl2), a member of the CC chemokine family, has been demonstrated to play an important role in the initiation and progression of inflammation [38]. MCP-1 is upregulated in a variety of inflammatory diseases such as atherosclerosis and rheumatoid arthritis [39]. Upon inflammation, MCP-1 recruits and activates monocytes, macrophages, memory T lymphocytes, and natural killer (NK) cells to the site of inflammation [38], which is involved in various pathophysiologic conditions such as inflammation, trauma, burns, shock, and allergy. Increases in Bdkrb1 have been demonstrated to be associated with the production of inflammatory mediators and stimulation of inflammatory cells. In our experiments, microarray analysis, qRT-PCR, and sqRT-PCR show that SF treated RPE 19 cells dramatically inhibited the expression of MCP-1 and Bdkrb1, which indicates that SF might also act by inhibiting the inflammatory response in human RPE cells to reduce apoptosis.

NQO1, GCLM, and Trx1 contain a cis-acting antioxidant response element (ARE) within the regulatory region of their genes [40]. Upon stimulation, Nrf2, a basic leucine zipper (bZIP) transcription factor, is translocated into the nuclei of the cells and forms a heterodimer with either Maf, FosB, c-Jun, and JunD, which then upregulate the expression of genes which contain an ARE element, such as Srxn1 [25–27, 41]. In this study, an increased expression of Nrf2 was not detected in RPE 19 cells treated with SF but a dramatic increase in the nuclear translocation of Nrf2 was found in the nuclear extractions. This suggests that the increase in these three antioxidant genes in SF treated RPE cells is Nfr2 dependent. Our previous results have shown that the regulation of Nrf2 by SF is through stimulation of the activity of extracellular signal-regulated kinases in mouse retinas [12]. Additional data will be needed to define the mechanisms by which SF regulates the expression of Txnip, MCP-1, and Bdkrb1 in RPE 19 cells.

In summary, microarray analysis revealed significant changes in the transcriptional levels of 69 genes in human RPE 19 cells after treated with SF. The genes are involved in a variety of cellular processes such as antioxidation, detoxification, cell growth regulation, antiapoptosis, immuno-regulation, inflammation, and signal transduction. SF endows the ability of antioxidative stress to RPE 19 cells against H₂O₂ induced cell apoptosis. This antioxidative effects is mediated by upregulation of antioxidant related genes, such as NQO1, SRXN1, GCLM, and Trx1 and by down regulation of inflammatory responsive genes including CCL2, Bdkrb1, and Txnip. SF appears to act through Nrf2 regulation of ARE containing genes such as NQO1, GCLM, and Trx1.

Conflict of Interests

The authors declare that they have no conflict of interests.

Acknowledgments

The authors thank Li Kong for technical support, and Richard Simon and Amy Peng Lam for allowing us to use BRB ArrayTools for microarray data analysis.

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