Literature DB >> 31633290

Expression of VEGFA-regulating miRNAs and mortality in wet AMD.

Janusz Blasiak1, Cezary Watala2, Raimo Tuuminen3,4, Niko Kivinen5, Ali Koskela5, Hannele Uusitalo-Järvinen6, Anja Tuulonen6, Mateusz Winiarczyk7, Jerzy Mackiewicz7, Szymon Zmorzyński8, Agata Filip8, Kai Kaarniranta5,9.   

Abstract

MicroRNAs (miRNAs) regulate gene expression; many of them act in the retinal pigment epithelium (RPE), and RPE degeneration is known to be a critical factor in age-related macular degeneration (AMD). Repeated injections with anti-VEGFA (vascular endothelial growth factor A) are the only effective therapy in wet AMD. We investigated the correlation between the expression of 18 miRNAs involved in the regulation of the VEGFA gene in serum of 76 wet AMD patients and 70 controls. Efficacy of anti-VEGFA treatment was evaluated by counting the number of injections delivered up to 12 years. In addition, we compared the relative numbers of deaths in patient with AMD and control groups. We observed a decreased expression of miR-34-5p, miR-126-3p, miR-145-5p and miR-205-5p in wet AMD patients as compared with controls. These miRNAs are involved in the regulation of angiogenesis, cytoprotection and protein clearance. No miRNA was significantly correlated with the treatment outcome. Wet AMD patients had greater mortality than controls, and their survival was inversely associated with the number of anti-VEGFA injections per year. No association was observed between miRNA expression and mortality. Our study emphasizes the need to clarify the role of miRNA regulation in AMD pathogenesis.
© 2019 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

Entities:  

Keywords:  AMD; age-related macular degeneration; anti-VEGFA injection; miRNA; mortality; wet AMD therapy

Mesh:

Substances:

Year:  2019        PMID: 31633290      PMCID: PMC6850949          DOI: 10.1111/jcmm.14731

Source DB:  PubMed          Journal:  J Cell Mol Med        ISSN: 1582-1838            Impact factor:   5.310


INTRODUCTION

Age‐related macular degeneration (AMD) is a complex eye disease; it is the leading cause of legal blindness in the elderly in the developed countries. AMD occurs in either dry or wet (neovascular) forms. Wet AMD is characterized by the sprouting of new vessels from choriocapillaris through the Bruch's membrane into the sub‐retinal space or the retina layers. Vascular endothelial growth factor A (VEGFA) and its receptor are crucial regulators of choroidal neovascularization (CNV) in wet AMD.1 The vessels produced in CNV are fragile, and their contents tend to leak into the retina layers, promoting fibrogliosis which results in the formation of a disciform scar and severe loss of vision if not properly treated. Targeting VEGFA by anti‐VEGFA agents significantly improved the treatment of wet AMD outcome and, in fact, led to its removal from the list of incurable diseases.2 Bevacizumab (Avastin®), ranibizumab (Lucentis®) and aflibercept (Eylea®) are used to prevent CNV activity. However, not all patients display a positive response to these drugs, and some of them are unresponsive to therapy.3 Moreover, the relatively short half‐life of anti‐VEGFA drugs means that they need to be administered on a monthly basis, with the treatment often lasting for the patient's life‐time. Therefore, new modes of treatments of wet AMD with the currently used and new drugs are being investigated to find compounds with greater efficacy and better safety than the present anti‐VEGFA–based therapies. The goal of anti‐VEGFA therapy in wet AMD is to decelerate the worsening of visual acuity and to prevent the loss of vision. Although the use of VEGFA inhibitors revolutionized wet AMD therapy, several issues still need to be resolved in the treatment of this disease. First, VEGFA is not the only protein involved in neovascularization. Second, neovascularization is not the only unwanted process ongoing in affected eyes. Third, individual susceptibility to therapy is influenced by genotype, epigenotype and environmental factors, all of which determine the expression of genes whose products are important for the therapeutic response. Wet AMD is frequently associated with other systemic conditions, primarily vascular complications that can be linked with increased mortality.4, 5, 6, 7 Therefore, although the question of whether wet AMD may be an independent risk factor for death is complex, it should be addressed as advanced age is the main factor in the pathogenesis of AMD. Moreover, some reports suggest that therapy with intravitreous anti‐VEGFA injections can influence the mortality of wet AMD patients undergoing this kind of therapy.8, 9, 10 Several genetic factors, mainly related to the complement system, have been identified as playing either a documented or a putative role in the pathogenesis of AMD, but the role of epigenetic control in AMD is much less clear.11, 12, 13 As epigenetic microRNAs (miRNAs) are an important element in the regulation of gene expression, a panel of miRNA species involved in the progression of wet AMD or the conversion of dry AMD into wet AMD should be clarified in order to better understand AMD pathogenesis and to personalize wet AMD therapy. miRNAs now have an emerging role in the regulation of the expression of eukaryotic genes, and they are known to be involved in the pathogenesis of many human diseases.14 Their main function is to trigger the RNA interference (RNAi) pathway, either to degrade mRNA produced by the target gene or to repress its translation. However, several other functions have been attributed to miRNAs, including transcriptional gene activation.15 Moreover, a single miRNA can be involved in the control of multiple genes belonging to a single molecular pathway or multiple pathways. A recent study has identified as many as 416 miRNAs which are expressed in RPE and choroid.16 Targeting these miRNAs in order to modulate their expression seems to be a promising strategy in AMD treatment as supported by experiments conducted in animal models of AMD.17 In the present work, we investigated the expression of VEGFA gene‐regulating miRNAs in the serum of wet AMD patients. In addition, we analysed mortality in the wet AMD patients and control groups without AMD.

MATERIALS AND METHODS

Patients

A total of 76 patients with wet AMD and 70 controls were enrolled in this study. The mean age of the patients was 79.5 years (range 74.5‐84.5), whereas the mean age of controls was 73.8 years (68.6‐78.7). The patient group contained 18 males and 58 females; the numbers in the control group were 37 males and 33 females. Because of the differences in age and sex, all calculations were adjusted for these parameters. The controls were individuals without AMD or any other retinal disease who were undergoing cataract operation and were selected as described earlier.18 The criteria for patient selection were based on CNV in optical coherent tomography (OCT) and/or fluorescein angiography (FAG). No patient reported any genetic disease, and diabetes mellitus was an exclusion criterion. All patients with AMD were subjected to an examination in the Department of Ophthalmology of Kuopio University Hospital, involving best‐corrected visual acuity (VA), intraocular pressure, slit lamp, fundus and biomicroscopy examination, fundus photographs (Canon CX‐1 Hybrid Retinal Camera, Canon), FAG (Canon CX‐1) and/or OCT (SPECTRALIS OCT2, Heidelberg Engineering). Real‐world data (RWD) were monitored for up to 12 years. Finnish national guidelines for modified PRN (pro re nata) were applied in the follow‐up and treatments of wet AMD patients.19, 20, 21, 22 Ethics Committee of the Kuopio University Hospital has approved the study, and the tenets of the Declaration of Helsinki are followed. All participants have been asked to sign an informed consent form.

Cataract surgery and wet AMD registries

Cataract surgery, wet AMD and anti‐VEGFA registries were gathered at the Department of Ophthalmology, Kymenlaakso Central Hospital, Kotka, Finland. The registries of operations for phacoemulsification cataract surgery (ICD code: CJE20), of patients with wet AMD (ICD code: H35.31) and of intravitreal injections (ICD code: CKD05), all from 03 September 2007, were combined. Patients under 65 years were excluded from the data analysis. Patient age and sex were registered as confounders. The study was approved by the Research Director and Chief Medical Officer of the Kymenlaakso Central Hospital, and the tenets of the Declaration of Helsinki were followed. Each patient gave a written informed consent.

Blood samples, RNA isolation and miRNA expression

Blood samples were taken in the active phase of wet AMD and centrifuged with a serum aliquot of 200 μl being used to isolate RNA with miRCURY Isolation Kit™ (Exiqon). The small RNA fraction was concentrated; the amount of elution buffer was reduced to 20 µL. The robustness of the RNA isolation and the quality of isolated RNA samples were checked using miRCURY microRNA QC PCR Panel (Exiqon). Quantitative real‐time PCR (real‐time qPCR) was performed with miRCURY LNA Universal RT microRNA PCR and MicroRNA LNA PCR primer set (Exiqon). Reverse transcription was carried in a total volume of 10 µL using 10 ng RNA. In the qt‐PCR experiments, cDNA was diluted 80× with nuclease‐free water and an aliquot of 4 µL was used for a 10 µL reaction. Real‐time qPCR was performed using ABI 7500 Fast instrument (Thermo Fisher Scientific). The PCR conditions were as follows: 10 minutes denaturation at 95°C followed by 45 amplification cycles at 95°C 10 seconds, 60°C 1 minute, ramp‐rate of cooling 1.6°C/s. Every sample was assayed in duplicate with expression being calculated according to the 2‐ΔΔCt method.23, 24 The expression of hsa‐miR‐423‐5p and hsa‐miR‐425‐5p served as a control. miRNAs targeting the VEGFA gene expression were chosen on the basis of the data from the miRTarBase (http://mirtarbase.mbc.nctu.edu.tw) and reference,25 and verified using TargetScanHuman database (http://www.targetscan.org). Only those miRNAs were selected which had been experimentally validated with evidence emerging from reliable methods. They are listed in Table 1.
Table 1

miRNAs targeting the VEGFA (vascular endothelial growth factor A) gene

miRNAmiRBase/miRTarBase entry
hsa‐miR‐15a‐5pMIMAT0000068/MIRT004275
hsa‐miR‐16‐5pMIMAT0000069/MIRT003890
hsa‐miR‐17‐5pMIMAT0000070/MIRT025302
hsa‐miR‐20a‐5pMIMAT0000075/MIRT004450
hsa‐miR‐20b‐5pMIMAT0001413/MIRT004451
hsa‐miR‐29b‐3pMIMAT0000100/MIRT003813
hsa‐miR‐34a‐5pMIMAT0000255/MIRT004513
hsa‐miR‐93‐5pMIMAT0000093/MIRT004055
hsa‐miR‐106a‐5pMIMAT0000103/MIRT004465
hsa‐miR‐106b‐5pMIMAT0000680/MIRT004466
hsa‐miR‐125a‐5pMIMAT0000443/MIRT004445
hsa‐miR‐126‐3pMIMAT0000445/MIRT003428
hsa‐miR‐145‐5pMIMAT0000437/MIRT006215
hsa‐miR‐195‐5pMIMAT0000461/MIRT004273
hsa‐miR‐200b‐3pMIMAT0000318/MIRT006440
hsa‐miR‐205‐5pMIMAT0000266/MIRT004518
hsa‐miR‐361‐5pMIMAT0000703/MIRT004447
hsa‐miR‐378a‐3pMIMAT0000732/MIRT004277
miRNAs targeting the VEGFA (vascular endothelial growth factor A) gene

Data analysis

Data of miRNA expression are displayed by the bootstrap‐boosted mean ± standard deviation (SD). The number of injections per year in groups is presented as the bootstrap‐boosted medians and interquartile ranges (lower [LQ, 25%] to upper [UQ, 75%] quartile). The significance of differences in miRNA expression in controls and wet AMD patients was estimated with bootstrap‐boosted unpaired Student's t test and further validated by using the Benjamini‐Hochberg correction (False Discovery rate (FDR) = 0.25). In the multivariate comparison analysis of miRNA expressions, the bootstrap‐boosted Hotelling T test was applied. Mortality data were presented as odds ratios (OR) and the 95% confidence interval (95% CI) range. The estimates were calculated with the bootstrap‐boosted logistic regression (1000 iterations); OR was adjusted for age, sex and time of observation; and the goodness of fit in the model was estimated with the Hosmer‐Lemeshow statistics. The comparisons of death ratios and the numbers of injection per year between groups were estimated with the Fisher exact test or the bootstrap‐boosted Mann‐Whitney U test, respectively. All the bootstrapped estimates, except for the logistic regression, were performed with 10 000 iterations. For cataract surgery, wet AMD and anti‐VEGFA registries, statistical analysis was performed using IBM SPSS Statistics 25 (SPSS Inc). Kaplan‐Meier curves were generated, and Cox regression was used to estimate hazard ratios (HR) for death between patients with wet AMD and anti‐VEGFA injections and the cohort (Tables S1 and S2). HRs were adjusted for confounders including patient age and sex. P‐values .05 or less were considered as statistically significant.

RESULTS

Four out of 18 miRNAs regulating the expression of the VEGFA gene displayed a lower level of expression in patients with AMD than in controls: miR‐34a‐5p, miR‐126‐3p, miR‐145‐5p and miR‐205‐5p (Figure 1). We observed a significantly elevated mortality ratio in wet AMD patients in comparison with controls (P = .021, Table 2).
Figure 1

Relative expression of the miRNAs involved in the regulation of the VEGFA gene in serum of wet AMD patients (red) as compared with controls (green). Data are shown as bootstrap‐boosted mean ± SD; the bootstrap‐boosted Mann‐Whitney U test was used to calculate the Benjamini‐Hochberg‐corrected P values, and in the multivariate comparison analysis, the bootstrap‐boosted Hotelling T test was applied. Significance of differences estimated with bootstrap‐boosted unpaired Student's t test and further validated with the use of Benjamini‐Hochberg correction (FDR = 0.25); N = 76 for patients with AMD and 70 for controls; *P < .05

Table 2

Mortality in wet AMD patients and controlsa

GroupDeath ratioOR95% CI P
Wet AMD (76)0.2764.180(1.228; 16.683).021
Controls (70)0.085

Data presented as the odds ratio and the 95% confidence interval (95% CI) range. The estimates were calculated with the bootstrap‐boosted logistic regression (1000 iterations); OR was adjusted for age, sex and time of observation; and the goodness of fit of the model was estimated with the Hosmer‐Lemeshow statistics (P = .450).

Relative expression of the miRNAs involved in the regulation of the VEGFA gene in serum of wet AMD patients (red) as compared with controls (green). Data are shown as bootstrap‐boosted mean ± SD; the bootstrap‐boosted Mann‐Whitney U test was used to calculate the Benjamini‐Hochberg‐corrected P values, and in the multivariate comparison analysis, the bootstrap‐boosted Hotelling T test was applied. Significance of differences estimated with bootstrap‐boosted unpaired Student's t test and further validated with the use of Benjamini‐Hochberg correction (FDR = 0.25); N = 76 for patients with AMD and 70 for controls; *P < .05 Mortality in wet AMD patients and controlsa Data presented as the odds ratio and the 95% confidence interval (95% CI) range. The estimates were calculated with the bootstrap‐boosted logistic regression (1000 iterations); OR was adjusted for age, sex and time of observation; and the goodness of fit of the model was estimated with the Hosmer‐Lemeshow statistics (P = .450). The wet AMD patients who died during the treatment had received a higher number (>3 injections/year (P = .0013) of anti‐VEGFA injections than those who survived (Table 3). In Cox regression analysis adjusted for age and sex, cataract surgery patients with wet AMD and anti‐VEGFA injections (mean number of 9.8 ± 8.9 anti‐VEGFA injections during the follow‐up) had HR 2.05 for death, 95% CI 1.59‐2.64, when compared to the cataract surgery patients without wet AMD (P < .001, Figure 2). No association was observed between mortality and the expression of any miRNA (data not shown).
Table 3

Average number of anti‐VEGFA injections per year in wet AMD patients who died during the treatment and those who surviveda

EyeStatusInjections/year P
LeftDead3.28 (1.90; 4.38).0013
Survived1.31 (0.09; 3.25)
RightDead2.65 (1.28; 3.98).068
Survived1.19 (0.06; 2.53)

Data presented as median and interquartile range (lower [LQ, 25%] to upper [UQ, 75%] quartile); n = 54 survivors and n = 20 non‐survivors. Significance estimated with the Mann‐Whitney U test. All estimates (median, LQ, UQ and Mann‐Whitney U statistics) were bootstrap‐boosted with 10 000 iterations.

Figure 2

Registry of cataract surgery patients operated after 3 September 2007. Patients with wet AMD (ICD code: H35.31) and intravitreal injections (ICD code: CKD05) (blue) were compared to the cataract cohort (red). Kaplan‐Meier curves were generated, and Cox regression was used to estimate hazard ratios (HR) for death between wet AMD patients with anti‐VEGFA injections and cataract cohort. All patients were 65 years or older. In wet AMD patients, after adjusting for age and sex, HR for death was 2.05; 95% CI 1.59‐2.64; P < .001 when compared to cataract surgery patients without wet AMD. N = 330 for wet AMD patients and N = 15 364 for the cataract cohort

Average number of anti‐VEGFA injections per year in wet AMD patients who died during the treatment and those who surviveda Data presented as median and interquartile range (lower [LQ, 25%] to upper [UQ, 75%] quartile); n = 54 survivors and n = 20 non‐survivors. Significance estimated with the Mann‐Whitney U test. All estimates (median, LQ, UQ and Mann‐Whitney U statistics) were bootstrap‐boosted with 10 000 iterations. Registry of cataract surgery patients operated after 3 September 2007. Patients with wet AMD (ICD code: H35.31) and intravitreal injections (ICD code: CKD05) (blue) were compared to the cataract cohort (red). Kaplan‐Meier curves were generated, and Cox regression was used to estimate hazard ratios (HR) for death between wet AMD patients with anti‐VEGFA injections and cataract cohort. All patients were 65 years or older. In wet AMD patients, after adjusting for age and sex, HR for death was 2.05; 95% CI 1.59‐2.64; P < .001 when compared to cataract surgery patients without wet AMD. N = 330 for wet AMD patients and N = 15 364 for the cataract cohort

DISCUSSION

MiRNAs are an emerging topic, for example as biomarkers and therapeutic targets of diseases, including AMD. We observed decreased serum levels of miR‐34‐5p, miR‐126‐3p, miR‐145‐5p and miR‐205‐5p in wet AMD patients as compared with non‐AMD controls. The expression of miR‐34a‐5p may occur in response to oxidative stress, a major factor of AMD pathogenesis.26 miR‐34a‐5p negatively regulates angiogenesis, which is essential for the development of wet AMD.27, 28 The up‐regulation of miR‐34a‐5p was reported to be involved in drusen formation in AMD through the down‐regulation of the triggering receptor expressed in myeloid/microglial cells‐2 (TREM2).29 This receptor is involved in the clearance of the aggregated Aβ42 peptide from the extracellular space. One target of miR‐34a‐5p is heat shock protein family A (Hsp70) that functions as a molecular chaperone and exerts a cytoprotective effect by refolding proteins that have been misfolded in the presence of oxidative stress.30 Decreased miR‐34a‐5p serum levels in wet AMD may evoke increased cellular stress and microglia activation that lead to the wet AMD phenotype. miR‐126‐3p belongs to the angiomiR family of miRNAs which are involved in regulating angiogenesis. The role of miR‐126 in the promotion of angiogenesis was first correlated with targeting of the Spred‐1 gene, which encodes for a negative regulator of MAP kinase signalling.31 miR‐126 has been identified as a positive regulator of angiogenesis in chronic heart failure and a negative regulator of the inflammatory response in human cardiac microvascular endothelial cells.32, 33 Zhou and colleagues observed that the function of miR‐126 was strand and cell‐type specific in animal models of ocular angiogenesis as well as in a mouse model of wet AMD.34 They reported that miR‐126‐3p repressed VEGFA expression in RPE cells in two ways: directly targeting VEGFA 3’‐UTR and by a novel mechanism involving the regulation of αB‐crystallin promoter activity. However, overexpression of miR‐126p enhanced laser‐induced choroidal neovascularization. In addition to the VEGFA control, miR‐126‐3p down‐regulation is associated with increased inflammation, epithelial‐mesenchymal transition (EMT), regulatory proteins expression and cellular proliferation.35, 36, 37, 38 Therefore, miR‐126‐3p may be an important epigenetic regulator in the development of wet AMD. miR‐145‐5p is known to be a negative regulator of angiogenesis.39 Decreased levels miR‐145‐5p levels enhance the secretion of IL‐1β, TNF‐α and IL‐6 during hypoxia.40 Therefore, miR‐145‐5p can be considered as a therapeutic target to suppress the inflammatory response and to prevent the apoptosis occurring in hypoxic conditions, a characteristic of wet AMD.41, 42 miR‐205‐5p was shown to regulate EMT through the PI3K/AKT pathway.43, 44 Autophagy, a key lysosomal clearance mechanism, has been linked to the PI3K/AKT signalling.45 Impaired autophagy is related to increased inflammation, extracellular matrix remodelling and RPE degeneration in AMD, and the EMT is involved in choroidal neovascularization (CNV) in wet AMD.46, 47 A direct relationship between miR‐205 and VEGFA was confirmed in human breast cancer cells, when the suppression of endogenous miR‐205 resulted in an increase in the expression of VEGFA.48 There is a complex network of miRNA interactions regulating gene expression; that is, a single miRNA may be involved in the control of up to 200 genes and a single transcript may have recognition sites for many miRNAs.49 Variations in miRNA expression levels may be caused by different factors—host gene mutations or polymorphisms, alterations of proteins associated with miRNA biogenesis or the effects of related long non‐coding RNAs (lncRNAs). For example, the expression of VEGFA may be up‐regulated by lncRNA MALAT1, which targets miR‐145, resulting in the promotion of angiogenesis in brain microvascular endothelial cells.50 In summary, miR‐34a‐5p, miR‐126‐3p, miR‐145‐5p and miR‐205‐5p may regulate cellular inflammation, modifications to both the extracellular matrix and phenotype as well as altering cellular proliferation all of which may contribute to the clinical signs of wet AMD. Ertekin et al found that 11 miRNAs (miR‐21, miR‐25‐3p, miR‐140, miR‐146b‐5p, miR‐192, miR‐335, miR‐342, miR‐374a, miR410, miR‐574‐3p and miR‐660‐5p) were down‐regulated and five others (miR‐17‐5p, miR‐20a, miR‐24, miR‐106a and miR‐223) up‐regulated in the plasma of 33 wet AMD patients.51 None of these miRNAs were studied in our cohort. The role of genetic background in the regulation of inflammation and neovascularization was supported by the bioinformatics data reported by Strafella et al, showing an association of rs11671784 (miR‐27A, G > A) and rs2910164 (miR‐146A, C > G) single nucleotide polymorphisms in AMD.52 The complexity of AMD pathogenesis increases when non‐genetic data are analysed with genetic and epigenetic data.53 However, a bioinformatics analysis of epigenetics, pharmacogenetics, comorbidities and genetic counselling in AMD is a promising way to open new perspectives for personalized medicine and help to identify phenotype differences between dry and wet AMD.53, 54, 55, 56 Anti‐VEGFA therapy in wet AMD is considered to be safe for patients, even although some side‐effects have been reported.12, 57 Moreover, Papudesu et al showed that AREDS2 participants with wet AMD in one eye at baseline had a statistically significant increased risk for mortality compared with patients having no or only a few drusen.58 Moreover, a visual acuity less than 20/40 was associated with a reduced survival. In our material, 93% of patients had a visual acuity equal or less than 20/40 in the treated eye after follow‐up of one year. Those patients who had received anti‐VEGFA therapy had a greater risk of mortality than non‐treated individuals. In another population‐based study, Dalvin et al concluded that anti‐VEGFA therapy in wet AMD patients was not associated with mortality as compared with non‐treated individuals, including patients with AMD.59 Gopinah et al detected a positive correlation between advanced AMD and mortality.60 Hanhart et al noted an increased mortality in wet AMD patients after myocardial infarction (MI) treated with bevacizumab as compared to non‐treated individuals.9, 10 Previously, these authors also observed increased mortality in bevacizumab‐treated wet AMD patients as compared to a control cohort without AMD.8 Recent meta‐analyses on mortality of wet AMD patients treated with bevacizumab intravitreal injections have pointed to a less than 2% mortality ratio in the first year of therapy.61 A study of over 20 000 participants from the Melbourne Collaborative Cohort Study led to the conclusion that late AMD was linked with an increased mortality.62 We detected a relatively high mortality ratio in the wet AMD group, and this did not correlate with alterations in the expression of the investigated miRNAs. We are unaware of any previous studies which have investigated whether anti‐VEGFA therapy is linked with either mortality or miRNAs. Nonetheless, our results should not be interpreted that the anti‐VEGFA therapy is a cause of increased mortality. As AMD is a complex disease associated with both genetic and cardiovascular risk factors, it can be viewed as an expression of the serious poor general health state of these patients that may contribute to their premature death, especially in individuals who require more than the average number of anti‐VEGFA injections. However, we cannot exclude the possibility that anti‐VEGFA therapy has detrimental effects in certain patients. The correlation between the serum miRNAs profile and wet AMD points to their involvement in the molecular mechanisms underlying AMD pathogenesis, such as inflammation, protein clearance, lipid metabolism or reaction to oxidative stress. In the era of targeted treatment, some circulating miRNAs may become reliable diagnostic, prognostic and predictive factors in AMD. Our study included AMD‐free controls, which raises the question of whether the experimental design was appropriate. Although it could be argued that the best controls would be wet AMD patients with no anti‐VEGFA injections, in the present era no such subpopulation exists. Using data from a subpopulation from the past would introduce a time bias, which could not be reliably controlled. Dry AMD does not seem to be a good control for wet AMD, as most of dry AMD patients never develop wet AMD.63 The positive association between mortality and the number of anti‐VEGFA injections in wet AMD patients should be understood as an association between mortality and the severity of the disease and by no means as a direct link between mortality and the dose of an anti‐VEGFA drug. To emphasize this point, please note that our reasoning is based on the following argument. With the use of both simple, bivariate (eg correlation) and multivariate (eg logistic regression) statistical analyses, we have shown that the mortality of the patients and the number of anti‐VEGFA injections were significantly associated. Correlation between the number of anti‐VEGFA injections and patient survival is susceptible to many biases that are beyond these data analysis. Patients with high number of anti‐VEGFA injections tend to represent more aggressive and chronic form of wet AMD when compared to those with low number of anti‐VEGFA injections. On the other hand, anti‐VEGFA treatment is recommended to be discontinued in those patients with recent cardiovascular event or otherwise poor physical condition, when no expectations for ability to function and quality of life effect exist, and in cases of anti‐VEGFA non‐responders or other adverse effects related to the treatment. Furthermore, we have demonstrated the not unexpected significant association between mortality and the patient's age. However, when age was included as a confounding variable and used to standardize (adjust) the association between mortality and number of anti‐VEGFA injections, this association became greatly reduced (although it yet remained statistically significant). In our opinion, this is the most elegant statistical proof of what we have stated in our paper. Specifically, as our analysis was adjusted for the age of the patients with AMD, we may hypothesize that it is unlikely that the observed effect was not purely coincidental but instead related to an advanced age of the patients. It is noteworthy however that although advanced age is the main factor in the pathogenesis of AMD, it is not the only significant factor and not all AMD‐related phenomena can be attributed simply to ageing. Although our samples are unique as they represent an observation period of up to 12 years, their number is not impressive from the statistical point of view. That is why we applied a bootstrapped estimate with 10 000 iterations to minimize the chance of introducing bias into our analyses. We emphasize that this is a common way to validate conclusions drawn from clinical studies evaluating not very large groups. With such an approach, we attempted to minimize the risk that we would be too eager to reject the null hypothesis when identifying a significant outcome in our inference or association tests. Our study has several limitations, which should be addressed in future investigations. For example, the expression levels of the miRNAs and VEGFA should be evaluated on a year‐by‐year basis in each patient and control individual. The number of patients enrolled in the study as well as the repertoire of miRNAs could be extended, but overall our results support the need for clarifying the role of miRNA regulation in the pathogenesis of AMD.

CONFLICT OF INTEREST

The authors confirm that there are no conflicts of interest.

AUTHOR CONTRIBUTION

JB wrote the paper; CW performed statistical analysis; RT performed mortality analysis and wrote the paper; NK gathered clinical data; AK, HU‐J and AT designed experiments and wrote the paper; MW, JM and SZ analysed the data; AF designed experiments and wrote the paper; KK conceived the concept of this work, collected the samples, did clinical examinations, interpreted data, organized financial support and wrote the paper. Click here for additional data file.
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9.  microRNA-34a-Mediated Down-Regulation of the Microglial-Enriched Triggering Receptor and Phagocytosis-Sensor TREM2 in Age-Related Macular Degeneration.

Authors:  Surjyadipta Bhattacharjee; Yuhai Zhao; Prerna Dua; Evgeny I Rogaev; Walter J Lukiw
Journal:  PLoS One       Date:  2016-03-07       Impact factor: 3.240

10.  Mortality in patients treated with intravitreal bevacizumab for age-related macular degeneration.

Authors:  Joel Hanhart; Doron S Comaneshter; Yossi Freier Dror; Shlomo Vinker
Journal:  BMC Ophthalmol       Date:  2017-10-10       Impact factor: 2.209

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  12 in total

Review 1.  MicroRNA regulation of critical retinal pigment epithelial functions.

Authors:  Samuel W Du; Krzysztof Palczewski
Journal:  Trends Neurosci       Date:  2021-11-06       Impact factor: 16.978

Review 2.  Potential of Telomerase in Age-Related Macular Degeneration-Involvement of Senescence, DNA Damage Response and Autophagy and a Key Role of PGC-1α.

Authors:  Janusz Blasiak; Joanna Szczepanska; Michal Fila; Elzbieta Pawlowska; Kai Kaarniranta
Journal:  Int J Mol Sci       Date:  2021-07-03       Impact factor: 5.923

3.  Associations of microRNAs, Angiogenesis-Regulating Factors and CFH Y402H Polymorphism-An Attempt to Search for Systemic Biomarkers in Age-Related Macular Degeneration.

Authors:  Zofia Ulańczyk; Anna Sobuś; Karolina Łuczkowska; Aleksandra Grabowicz; Katarzyna Mozolewska-Piotrowska; Krzysztof Safranow; Miłosz Piotr Kawa; Andrzej Pałucha; Mariusz Krawczyk; Piotr Sikora; Ewa Matczyńska; Bogusław Machaliński; Anna Machalińska
Journal:  Int J Mol Sci       Date:  2019-11-15       Impact factor: 5.923

4.  Expression of VEGFA-regulating miRNAs and mortality in wet AMD.

Authors:  Janusz Blasiak; Cezary Watala; Raimo Tuuminen; Niko Kivinen; Ali Koskela; Hannele Uusitalo-Järvinen; Anja Tuulonen; Mateusz Winiarczyk; Jerzy Mackiewicz; Szymon Zmorzyński; Agata Filip; Kai Kaarniranta
Journal:  J Cell Mol Med       Date:  2019-10-21       Impact factor: 5.310

5.  A Multi-Omics Approach Identifies Key Regulatory Pathways Induced by Long-Term Zinc Supplementation in Human Primary Retinal Pigment Epithelium.

Authors:  Eszter Emri; Elod Kortvely; Sascha Dammeier; Franziska Klose; David Simpson; Eye-Risk Consortium; Anneke I Den Hollander; Marius Ueffing; Imre Lengyel
Journal:  Nutrients       Date:  2020-10-06       Impact factor: 5.717

6.  Differential Circulating MicroRNA Expression in Age-Related Macular Degeneration.

Authors:  Hanan ElShelmani; Ian Brennan; David J Kelly; David Keegan
Journal:  Int J Mol Sci       Date:  2021-11-15       Impact factor: 5.923

7.  A Circulating MicroRNA Profile in a Laser-Induced Mouse Model of Choroidal Neovascularization.

Authors:  Christina Kiel; Patricia Berber; Marcus Karlstetter; Alexander Aslanidis; Tobias Strunz; Thomas Langmann; Felix Grassmann; Bernhard H F Weber
Journal:  Int J Mol Sci       Date:  2020-04-13       Impact factor: 5.923

8.  Autophagy Genes for Wet Age-Related Macular Degeneration in a Finnish Case-Control Study.

Authors:  Jussi J Paterno; Ali Koskela; Juha M T Hyttinen; Elina Vattulainen; Ewelina Synowiec; Raimo Tuuminen; Cezary Watala; Janusz Blasiak; Kai Kaarniranta
Journal:  Genes (Basel)       Date:  2020-11-06       Impact factor: 4.096

Review 9.  MicroRNAs as diagnostic and prognostic biomarkers of age-related macular degeneration: advances and limitations.

Authors:  Bridget Martinez; Philip V Peplow
Journal:  Neural Regen Res       Date:  2021-03       Impact factor: 5.135

10.  Predictive Biomarkers of Age-Related Macular Degeneration Response to Anti-VEGF Treatment.

Authors:  Ana I Oca; Álvaro Pérez-Sala; Ana Pariente; Rodrigo Ochoa; Sara Velilla; Rafael Peláez; Ignacio M Larráyoz
Journal:  J Pers Med       Date:  2021-12-08
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