Background
Macular degeneration (MD) is a retinal disease and is the main cause of blindness in elderly [
1]. The precise etiology of MD and age-related MD (AMD) is still unclear; however, the roles of sunlight ultraviolet (UV) exposure has been demonstrated in the pathogenesis of AMD [
1]. UV irradiation and blue light irradiation both induce cellular damage through the generation of reactive oxygen species and oxidative stress, which have been considered the major pathological causes of photoreceptor cell death in AMD [
2,
3]. However, the underlying etiopathogenesis mechanism is poorly understood. Therefore, investigating how risk factors initiate early retinal damage and developing therapeutic strategies for the prevention of its progression are necessary.
Hepatitis B virus (HBV) is a major etiology of hepatic malignancy, and it has a chronic disease course [
4]. The HBV genome comprises four overlapping open reading frames (ORFs): C, P, S, and X. The X-ORF encodes the HBV X protein (HBx) with a 154-amino-acid-long peptide and a molecular mass of 17.5 kDa [
5]. The HBx protein has been demonstrated to activate several signaling pathways such as the Ras and Raf MAPK signaling pathways in transformation [
6] and proliferation [
7] and the SAPK/JNK and PI3K-Akt-Bad signaling pathways in survival [
8,
9]. Notably, HBx may activate or inhibit apoptotic pathways, depending on the scenario. For example, HBx may enhance apoptosis by interacting with c-FLIP and Bax [
10,
11], transactivating the gene expression levels of Fas ligand [
12], reducing mitochondrial membrane potential [
13], and altering intracellular Ca
2+ homeostasis [
14] and Bcl2-mediated inhibitory effects [
15]. By contrast, HBx can inhibit apoptosis by interacting with survivin-HBXIP [
16] or inactivating p53 [
17], caspase 3 [
18], and Fas-mediated apoptosis [
8].
The underlying mechanisms of how and why HBx enhances or inhibits apoptosis in different cellular contexts remain unclear. Research has shown that HBV can replicate in many extrahepatic cell types including neuronal cells, fibroblasts, keratinocytes, hematopoietic precursors, macrophages/monocytes, sustentacular cells, endothelial cells, and mucosal epithelial cells [
19]. The presence of HBV in different tissues and cell types may account for the extrahepatic syndromes associated HBV infection, such as neuropathy, vasculitis, and dermatitis [
19]; HBV has also been detected in the eye [
20‐
22]. However, the pathogenic mechanisms of HBV-infection-associated extrahepatic syndromes must be explored and clarified. In the present study, we developed a hypothesis about the potential association between HBV infection and MD. Thus, we conducted a nationwide population-based cohort study and demonstrated that HBV infection increases the risk of subsequent MD. Here, we provide several lines of in vitro evidence to reveal that base excision repair (BER), nucleotide excision repair (NER), mismatch repair (MMR), homologous recombination (HR), DNA replication, the cell cycle, the p53 signaling pathway, cancer-related pathways, circadian rhythms, and the tumor necrosis factor (TNF) signaling pathway, are involved in the UV-induced cell death of HBx-expressing cells and HBV-infection-associated MD. Our findings may facilitate the development of preventive strategies toward these mechanisms for HBV-infection-associated MD.
Patients, materials, and methods
Data source
The National Health Research Institutes (NHRI) built a large database, the National Health Insurance Research Database (NHIRD), which includes the claims data from the Taiwan National Health Insurance (NHI) program. The Taiwan NHI is a single-payer, compulsory health insurance program for Taiwan citizens. The data for the present study were derived from the Longitudinal Health Insurance Database (LHID), which contains the claims data of 1 million insured people within the NHIRD, including beneficiary registration, inpatient and outpatient files, drug use, and other medical services. One million insured people were randomly selected between 1 January 1996, and 31 December 2000, and followed up in the LHID. Notably, the disease record system in the Taiwan NHI was established according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). To protect the privacy of those insured, the NHRI replaced the original identification numbers with anonymous numbers before releasing the database publicly.
Study population
To investigate the association between MD risk and HBV infection, we designed a retrospective population-based cohort study and established an HBV-infected cohort and a comparison cohort. The HBV-infected cohort comprised patients with newly onset HBV (ICD-9-CM 070.20, 070.22, 070.30, 070.32, and V02.61) who were aged ≥ 20 years; the patients were recruited from 1 January 2000, to 31 December 2011, and the index date was ordered as the day of the HBV diagnosis. The comparison cohort was formed by selecting individuals in the LHID without a history of HBV infection and frequency matching them against the patients at a ratio of 1:4 (HBV-infected cohort vs. comparison cohort); the matching criteria included age. The index dates of the comparisons were randomly assigned a month and a day, as well as the same index year as the matched cases. We excluded patients with a history of HCV infection (ICD-9-CM 070.41, 070.44, 070.51, 070.54, and V02.62) or MD (ICD-9-CM 362.5) before the index date. The observation outcome of interest was the occurrence of an MD event. We observed these two cohorts at the index date and stopped the follow-up process when the patients were removed from the Taiwan NHI, developed MD, or on December 31, 2011, whichever occurred first. Age, sex, and comorbidity are the common confounding factors in NHIRD research; we therefore collected the patients’ comorbidity histories prior to the index date. Specifically, the comorbidities examined in this study comprised hypertension (ICD-9-CM 401–405), hyperlipidemia (ICD-9-CM 272), alcohol-related illness (ICD-9-CM 291, 303, 305, 571.0, 571.1, 571.2, 571.3, 790.3, A215, and V11.3), diabetes (ICD-9-CM 250), asthma (ICD-9-CM 493), cirrhosis (ICD-9-CM 571.2, 571.5, and 571.6), anxiety (ICD-9-CM 300.00), and coronary artery disease (ICD-9-CM 410–414).
Cell culture
ARPE19 cells, which form a human retinal pigment epithelial cell line (ATCC number: CRL-2302), were used in this study. The cells were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM)/Nutrient Mixture F-12 medium (Hyclone), supplemented with 10% fetal bovine serum (Hyclone), 100 U/mL penicillin, and 100 µg/mL streptomycin, in a humidified incubator at 37 °C and with 5% CO2. The cells were subcultured every 2–3 days to maintain exponential growth.
Light sources
The UV crosslinker, CL-1000L model (Ultra-Violet Products, LCC, CA, USA), was used as the source of UV light. The UV light source consists of five tubes of 8 W UV dual bipin discharge type (115 V/60 Hz/0.7 A), and the wavelength of the UV tube is 365 nm (UV-A). Two operational settings are available in the UV crosslinker: (1) preset UV energy exposure and (2) preset UV time exposure. The energy needed in the experiments can be set on the touch pad. It takes 4 min for the UV light exposure to 1 J/cm2. The exposure time of the UV light depends on the energy used in our experiments. The blue light LED lamp, MIC-209 model (60 W, blue light), was used as the source of visible blue light. The wavelength and the chromaticity diagram were measured by using the spectrometer USB2000+ (Ocean Optics, FL, USA) and the luminance colorimeter BM-7A (Topcon Tech. Co., Tokyo, Japan), respectively. The irradiance of the blue LED lamp was directly measured by a solar power meter SPM1116SD (Lutron Electronic Enterprise Co., Ltd., Taiwan) at the distance of 6.5 cm below the blue light source, where the cultured cells were exposed in the experiments.
Cell viability assay
Cell viability was analyzed and measured using the 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyltetrazolium bromide (MTT) method. Briefly, the cells were seeded in a 35-mm dish at a density of 2 × 105 cells/cm2. After overnight culturing, the cultured medium was discarded and the cells were exposed to the indicated dose of UV radiation, followed by a replacement of fresh medium at 37 °C. After incubation for a different period, MTT (Sigma, St. Louis, MO, USA) was added to a final concentration of 0.5 mg/mL and incubated in a CO2 incubator for an additional 4 h. Subsequently, the medium was aspirated, and 500 μL of dimethyl sulfoxide (Sigma, St. Louis, MO, USA) was added to the dish to dissolve formazan crystals. The absorbance was then obtained using a Synergy 2 microplate reader (BioTek Instruments, VT, USA) at a test wavelength of 490 nm with a reference wavelength of 630 nm. Finally, cell viability was determined by the relative absorbance of the experimental treatment compared with that of the control treatment.
DNA transfections
HBx plasmids were propagated in Escherichia coli and isolated with a Midi plasmid kit (Geneaid). Transfection of the ARPE19 cells was then achieved by using the TransIT-X2 reagent (Mirus) according to the user manual. In brief, approximately 80% of confluent cells were used for transfection, with 7.5 μL of TransIT-X2 and 2.5 μg of plasmid DNA in a 6-well plate format. After 24 h, the transfected cells were subcultured and a stable transfectant was generated by adding G418 (Enzo) at a final concentration of 0.5 mg/mL.
Two thousand cells were seeded into a 60-mm dish. After 24 h, the cells were exposed to the indicated dose of UV irradiation and cultured with fresh medium for 2 weeks. Subsequently, the cells were fixed with a 4% paraformaldehyde solution and stained with 0.1% crystal violet for 30 min. After washing, the crystal violet was dissolved with 10% acetic acid and the absorbance was measured at 590 nm. The relative colony number was calculated according to the relative absorbance of the experimental treatment in comparison with that of the control treatment.
Human oligonucleotide DNA microarray
Following treatment, the total RNAs of each group of cells were extracted using the Trizol reagent (Invitrogen, Carlsbad, CA, USA). The RNA yields and purity were checked by OD260/OD280 (> 1.8) and OD260/OD230 (> 1.6) using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). Additionally, we used the human oligonucleotide DNA microarray (Human Whole Genome OneArray
®v6, Phalanx Biotech Group, Taiwan), which contains 32,679 DNA oligonucleotide probes. Of these probes, 31,741 correspond to the annotated genes in the RefSeq v51 and Ensembl v65 databases. To control the experiment quality, the remaining 938 control probes were also included. Detailed descriptions of the gene array list are available from
http://www.phalanx.com.tw/Products/HOA_Probe.php.
Data analysis and clustering
For the in vitro studies, the experiments were performed, at a minimum, in triplicate. In each experiment, the mean value of the repetitions was calculated and then used in the statistical analysis. All of the data were normalized to control the values of each assay and are presented as the mean ± SD. Additionally, the data were analyzed using one-way ANOVA, and significance was again set at
P < 0.05. The array data were analyzed using the Rosetta Resolver System (Rosetta Biosoftware), which was applied to correct the data by removing both systematic and random errors. Signals that passed the criteria were then normalized through a 50% median scaling normalization method. The technical repeat data were analyzed by calculating the Pearson correlation coefficient to review the reproducibility (R value ≥ 0.975), and then the normalized data were transformed to gene expression log2 ratios between the mock and HBx groups. Signals with a log2 ratio of ≥ 1 or log2 ratio of ≤ −1 and a
P value of < 0.05 were selected and defined as differentially expressed (DE) genes for further analysis. Scatter plots were made to visually assess the variation between chips. In addition, volcano plots (Fig.
4a) and hierarchical clustering (Fig.
4c) were performed to visually demonstrate distinguishable gene expression profiles among samples.
Statistical analyses for population-based study
We measured the age distributions of the two cohorts by mean and standard deviation (SD), and examined the sex and comorbidity distributions by number and percentage. The age distribution differences were tested using two-sample t-tests, whereas the sex and comorbidity distribution differences were assessed using a Chi square test. We applied two strategies to investigate the risk of MD between the HBV-infected and comparison cohorts. First, the incidence density of developing MD for the two cohorts was calculated, and the cumulative incidence curves were evaluated using the Kaplan–Meier method; specifically, the log-rank test was applied to assess the incidence curve differences between the HBV-infected and comparison cohorts. Second, the crude and adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models; specifically, a stratified analysis was used to demonstrate the risk of MD in the HBV-infected cohort compared with the comparison cohort, according to age, sex, and comorbidity. All statistical analyses were conducted using SAS 9.4 software (SAS Institute, Cary, NC, USA), and the cumulative curve was plotted using R software (R Foundation for Statistical Computing, Vienna, Austria). Significance was set at P < 0.05 for two-sided testing.
Discussion
This is the first study to investigate the association and underlying mechanisms between chronic HBV infection and MD. We conducted a nationwide, population-based cohort study in Taiwan, with a matched comparison cohort, over a 12-year period; in addition, we used HBx-transfected human ARPE19 cells as the in vitro model. The major finding of our study is the significantly higher incidence of MD among patients with HBV infection. Furthermore, the patients with HBV infection exhibited a higher prevalence of cirrhosis, diabetes, hypertension, hyperlipidemia, asthma, coronary artery disease, alcohol-related illnesses, and anxiety than did the patients without HBV infection (all
P < 0.001) (Table
1). Notably, the mean age of the HBV-infected patients was approximately 44 years, with the incidence of AMD significantly increasing among 35–49-year-olds (aHR = 2.93; 95% CI = 2.29–3.75) and those older than 50 (aHR = 14.4; 95% CI = 11.4–18.2). Because the onset of MD usually occurs in adolescence [
27], our finding confirms that HBV-associated MD may be also age-dependent.
The incidence of MD was determined to increase with the presence of various comorbidities such as diabetes, hypertension, hyperlipidemia, asthma, coronary artery disease, or anxiety (Table
2). In previous studies, hypertension, hyperlipidemia, and coronary artery disease have also been suggested as risk factors for AMD [
1,
28]. The integrity of highly polarized RPE cells is critical for maintaining retinal function because they are the major cell type responsible for AMD, with limited proliferative potential. The main characteristic of AMD is the death of RPE cells; thus, the human RPE cell line, ARPE19, has been utilized a cellular model to study the cellular and molecular mechanisms of AMD. Notably, ARPE19 cells have the characteristics of polarization and tight junction [
29]. Previous studies have also suggested that the upregulation of ERK1/2 protects ARPE19 cells from oxidative-stress-induced cell death [
30], whereas the inhibition of ERK1/2 activation reduces cell proliferation [
31].
UV-A, UV-B and UV-C are the three wave bands of UV radiation, which is the main harmful component of sunlight. All UV radiations are genotoxic, and even if human lenses differ from those of rats or mice, components of UV light are capable of reaching the retina, as indicated by a structural study of rat retinas exposed to UV; notably, all of UV-A, UV-B, and UV-C were found to reach and affect the function of the retina [
32]. In the present study, we observed that the stable HBx-transfected ARPE19 cells were more sensitive to UV-A and UV-B-induced damage at 1–5 J/cm
2 than were the mock-transfected ARPE19 cells. It has been reported that UV-A and UV-B (1–2 J/cm
2) irradiation can induce the apoptotic cell death of ARPE19 through severe nuclear and mitochondrial DNA damage. UV-B is more responsible for the DNA damage rather than UV-A irradiation. UV-B-induced DNA damage also results in the formation of pyrimidine dimers, whereas UVA-induced oxidative stress can also induce cellular damage of ARPE19 cells [
33]. Interestingly, UV-A (20 J/cm
2)-induced ARPE19 cell death can be rescued by the treatment of resveratrol and (−)-epigallocatechin gallate through the suppression of UV-A-induced MAPK and COX2 activation [
34,
35].
In our in vitro study, cells expressing HBx were found to be similar to control cells regarding morphology and growth rate (Fig.
2). Moreover, HBx-expressing HepG2 cells were determined to exhibit increased sensitivity to apoptosis following UV irradiation [
25]. Upon UV irradiation, the interaction of the HBx protein with DNA-binding protein (DDB) 1 prevents the degradation and improves the stabilization of the HBx protein [
36], while further increasing cell death. Another DDB, DDB2, was revealed to enhance the translocation of HBx into the nucleus [
37]. Both DDB1 and DDB2 are also responsible for DNA repair [
38], although the DNA repair capacity is reduced when binding to the HBx protein [
39].
By using microarray analysis, we further demonstrated that several cellular pathways are involved in the UV-induced cell death of HBx-expressing cells. Compared with the mock-transfected ARPE19 cells, the alterations of gene expression profiles in the HBx-expressing cells were classified into a total of 18 signaling pathways. Among them, the p53, TNF, and cancer-related pathways overlapped both pre- and post-UV irradiation. Notably, several metabolic processes were particularly altered in the HBx-expressing ARPE19 cells before UV irradiation, namely prostaglandin metabolism, cytokine–cytokine receptor interaction, ECM–receptor interaction, steroidogenesis, and the PI3K-Akt signaling pathway; in addition, BER, NER, MMR, HR, DNA replication, cell cycle regulation, and circadian rhythms were altered after UV irradiation (Table
4 and Fig.
5a). These data suggest that the processes between HBV infection and MD development are different, but share some pathogenic pathways. It has been known that UV induces different types of DNA damages, including cyclobutane-pyrimidine dimers (CPDs), 6-4 photoproducts (6-4PPs), as well as DNA strand breaks, which can be repaired by particular DNA repair pathways [
40]. Notably, our results revealed that almost all genes in these UV-induced DNA repair pathways including BER, NER, MMR, and HR, were significantly inhibited in the HBx-transfected ARPE19 cells comparing with mock-transfected cells (Fig.
5b), suggesting that HBx protein sensitizes retinal epithelial cells to UV irradiation might be through down-regulation of multiple DNA repair pathways.
Our GO enrichment analysis results reveal that the DE genes were predominantly involved in molecular functions, biological processes, and cellular components. Notably, the most significantly affected genes involved in protein binding (Table
5A), DNA replication/cell cycle regulation (Table
5B), and the nucleosome/cytoplasm/nucleus (Table
5C) were particularly involved in HBx-expressing retinal pigment epithelial cells after UV irradiation, which might have contributed to the development of MD in the patients with HBV infection.
Notably, it has been shown that blue light (460 nm) irradiation can significantly induce apoptosis of ARPE19 cells through Bcl-2/BAX pathway [
41]. Furthermore, the blue light irradiation also significantly induces the accumulation of reactive oxygen species and the mitochondrial dysfunction [
3]. From our result, we further extend the notion that HBx may also sensitize the APRE-19 to blue light irradiation-induced cell death at 0.2–0.9 J/cm
2 (Fig.
6), suggesting that HBV infection increases the sensitivity of retinal epithelial cells to both UV and blue light, thereby enhancing the risk of MD.
Authors’ contributions
Conception/Design: RHC, YCH; Provision of study materials: RHC, KHC, YCH; Collection and/or assembly of data: all authors; Data analysis and interpretation: all authors; Manuscript writing: all authors. All authors read and approved the final manuscript.