DOI: https://doi.org/10.21203/rs.3.rs-691922/v1
Backgorund
To identify disease-specific cytokine and growth factor profile differences in the aqueous humor between wet age-related macular degeneration (AMD) patients and age-matched controls and to correlate their levels with the optical coherence tomography (OCT) findings.
Methods
Aqueous humors were obtained from 13 wet AMD eyes and 10 control eyes. Twenty cytokines and growth factors were measured using a RayBio antibody microarray technology in wet AMD and control eyes.
Results
The samples obtained from wet AMD patients exhibited a significantly increased expression of MCP-1, MIP-1α, MIP-1β, and vascular endothelial growth factor (VEGF). Subretinal fluid (SRF) patients showed significantly lower levels of proinflammatory cytokines, such as IL-1α and GM-CSF, than those without SRF. Pigment epithelial detachments (PED) patients showed lower levels of inflammatory cytokines, such as GM-CSF, IFN-γ, and TNF-α, than those without PED. Subretinal tissue (SRT) patients showed a higher level of IFN-γ than those without SRT. Compared with the controls, type 1 choroidal neovascularization (CNV) patients showed increased levels of MCP-1, MIP-1α, and MIP-1β, but not VEGF (p = 0.083). However, type 2 CNV patients showed increased levels of MCP-1 and VEGF (p = 0.040 and p = 0.040).
Conclusion
Inflammatory cytokines varied according to the type of AMD- and OCT-based parameters. Our observation of low levels of VEGF in patients with type 1 CNV implies that the inhibition of VEGF alone appears to be insufficient treatment for these patients and that cytokines such as MCP-1, MIP-1α, and MIP-1β should be modulated. And the presence of SRF in CNV may be associated with a positive prognosis because we found relatively low levels of proinflammatory cytokines. Thus, treatment decisions for patients with wet AMD should be based on OCT-based biomarkers and angiographic classification schemes, and in patients with wet AMD, which is not treated well with anti-VEGF alone, it is necessary to analyze inflammatory cytokines.
Neovascular age-related macular degeneration (AMD) is the leading cause of irreversible visual impairment in the elderly in developed countries. The involvement of vascular endothelial growth factor (VEGF) in AMD has been strongly supported in several studies.[1–3] VEGF seems to be the major stimulus of neovascular growth originating from the retinal and choroidal vasculature.[4] The advent of intravitreal anti-VEGF therapy has introduced a new standard of treatment for patients with neovascular AMD.[1]
However, anti-VEGF treatment limitations partly arise from the profound heterogeneity found in the profiles of individual patients with choroidal neovascularization (CNV) and partly arise from the insufficient effects of the anti-VEGF treatment. Although some patients may perform well with few intravitreal anti-VEGF injections, in some patients, the CNV lesion continues to progress and recur despite the monthly injections. Further, it is widely accepted that anti-VEGF treatment improves the vision of patients, but it may not cure or stop the disease process.[5] Other studies have revealed elevated concentrations of other cytokines, including VEGF, in the aqueous humor, vitreous, and retinas of eyes with neovascular disorders.[6–8] In addition to anti-VEGF injections, the intravitreal administration of anti-inflammatory substances, such as triamcinolone, a widely used anti-inflammatory drug, has also shown positive effects in treating CNV patients.[9] Knowledge of factors that mediate intraocular neovascular processes is important for the development of new treatment strategies.
We aimed to investigate the possible roles of various cytokines and growth factors in the pathogenesis of AMD by comparing the aqueous humor levels of 20 cytokines in eyes with cataracts and eyes with AMD. We also investigated the correlation of morphologic information based on optical coherence tomography (OCT) between cytokine information in eyes with AMD.
This prospective trial was performed at the Department of Ophthalmology at Kyunghee University. The protocol was approved by the Ethics Committee of Kyunghee University Hospital at Gangdong (2015-07-042-014) and followed the tenets of the Helsinki protocol. Informed consent was obtained from all patients before being included in the study.
We included patients with neovascular AMD of two subtypes (occult type; type 1 and classic type, type 2 type). Only patients with recent-onset disease (treatment-naïve patients) were included in the study. All patients with neovascular AMD underwent comprehensive ophthalmic examinations, including best-corrected visual acuity, slit-lamp biomicroscopy with a + 90-diopter lens, color fundus photography, fluorescein angiography, indocyanine green angiography, and OCT. All eyes with neovascular AMD had active lesions with exudative OCT changes. We excluded patients with any previous history of CNV lesion treatment, those who had undergone previous intraocular surgery (except for cataract surgery), any other type of retinal disease, glaucoma, or having an axial length > 26.5 mm.
Controls were age-matched patients undergoing cataract surgery. We excluded patients with any type of retinal disease, glaucoma, uveitis, or a previous history of intraocular surgery.
Aqueous humor samples were obtained at the beginning of cataract surgery in the controls and immediately before the intravitreal injection in the eyes with neovascular AMD via limbal paracentesis. After topical anesthesia, approximately 100 µL of aqueous humor were withdrawn using a 1-cc syringe and a 30-G needle at the limbus. The humor samples were immediately frozen and stored at -80°C until the cytokine measurements.
We used antibody microarray technology. Samples were analyzed using RayBio® Quantikine Array kits (RayBiotech, Inc., GA, USA). These kits are used for the detection of IL-1a, IL-1b, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-13, granulocyte monocyte colony-stimulating factor (GM-CSF), GRO, IFN- γ, MCP-1, MIP-1α, MIP-1β, MMP-9, RANTES, TNF-α, and VEGF. A volume of 50–100 µL of undiluted aqueous humor samples was added to the arrays and these were incubated at room temperature for 1–2 h. We used these kits to identify more inflammatory cytokines, other than VEGF, in wet AMD patients. The arrays were continually washed at room temperature using gentle rocking for 20 min. The detection antibody cocktail was added to each well and incubated at room temperature for 1–2 h. We added 80 µL of Cy3 equivalent dye-conjugated streptavidin to each well, which was then incubated at room temperature for 1 h. We used an array-specific Q-Analyzer, an Excel-based program, to perform sophisticated data analysis.
We measured the biomarkers in OCT images: the volume of subretinal fluid (SRF), the pigment epithelial detachments (PED), and the subretinal tissue (SRT) using Image J medical imaging software (National Institutes of Health, Bethesda, MD, USA). The boundary line for measuring the cross-sectional area of SRF, PED, and SRT in the OCT image was directly drawn by two ophthalmologists using Image J software, and the average value was measured. The boundary of the SRF was drawn along the boundary of the fluid between the sensory retina and the retinal pigment epithelium (RPE), and the SRT was constructed along the boundary of the atypical fibrovascular proliferation in the subretinal space of the highly reflective region on the PRE. The PED was set as the boundary between the inner surface of the elevated retinal pigment epithelium and the virtual normal RPE line. After that, the volume of each morphological element was calculated by accumulating the OCT images at 240-µm intervals.
We used Mann-Whitney U test to compare the differences between groups. Correlations between cytokines and VEGF levels were assessed using Spearman's rank correlation. P values lower than 0.05 were considered statistically significant. Statistical analysis was performed using SPSS statistical package 25.0 (IBM, Armonk, New York, USA).
We included a total of 13 eyes of 13 treatment-naïve wet AMD patients that were compared to 10 age-matched control eyes of 10 participants. The demographic and baseline characteristics of the patients are listed in Table 1. The mean age of wet AMD patients and the controls was 74.2 ± 6.83 and 72.7 ± 5.12 years, respectively. There were no statistical differences regarding the age and sex distributions between the two groups (p = 0.364, p = 0.420). The mean visual acuity was 0.7 logMAR in the wet AMD group and 0.4 logMAR in the control group, showing a statistically significant difference (p < 0.01). From the 13 naïve wet AMD patients, 8 were type 1 (occult) CNV and 5 were type 2 (classic) CNV patients. In the neovascular AMD group, the number of eyes with SRF, PED, and SRT was 9, 8, and 8, respectively (Table 1).
AMD group (n = 13) | Control group (n = 10) | P* | |
---|---|---|---|
Mean age, years | 74.2 ± 6.83 | 72.7 ± 5.12 | 0.364 |
Gender, M/F (%) | 5/8 (62.5%) | 3/7 (42.9%) | 0.420 |
Mean baseline BCVA, logMAR (range) | 0.7 (0.18 to 2.3) | 0.4 (0.00 to 1.00) | < 0.01 |
AMD type (no. of eyes) | |||
Type 1 | 8 | ||
Type 2 | 5 | ||
Presence of SRF | 9 | ||
Presence of PED | 8 | ||
Presence of SRT | 8 | ||
BCVA, best corrected visual acuity; SRF, subretinal fluid; PED, pigment epithelial detachment; SRT, subretinal tissue. | |||
* Mann–Whitney U test |
Among the 20 cytokines, the levels of MCP-1 (also known as C-C motif chemokine 2; CCL2), MIP-1α (CCL3), MIP-1β (CCL4), and VEGF were significantly increased in the neovascular AMD group compared with the control group (p = 0.003, p = 0.041, p = 0.034, and p = 0.009) (Fig. 1). The other cytokines were also detectable in all samples but were not significantly different between patients and controls. The concentration of VEGF was correlated with the concentration of many other inflammatory cytokines, such as ILs, RANTES, and TNF-α, but not with the concentration of MCP-1 and MIP-1s (Table 2).
wAMD group (n = 13) | Control group (n = 10) | p* | Correlation coefficient r | p† | |
---|---|---|---|---|---|
IL-1α | 40.54 ± 56.07 | 16.2 ± 11.88 | 0.278 | 0.46 | 0.028 |
IL-1β | 7.6 ± 16.30 | 2.3 ± 3.69 | 0.734 | 0.76 | 0.001 |
IL-2 | 17.5 ± 12.99 | 11.6 ± 7.82 | 0.395 | 0.44 | 0.038 |
IL-4 | 10.3 ± 13.6 | 6.6 ± 4.04 | 0.962 | 0.56 | 0.009 |
IL-5 | 8.8 ± 7.99 | 9.2 ± 4.92 | 0.285 | 0.40 | 0.058 |
IL-6 | 24.4 ± 10.65 | 33.1 ± 11.19 | 0.095 | 0.64 | 0.002 |
IL-8 | 29.6 ± 32.62 | 19.1 ± 8.87 | 0.427 | 0.36 | 0.088 |
IL-10 | 2.6 ± 1.83 | 2.6 ± 1.06 | 0.792 | 0.70 | 0.001 |
IL-12p70 | 3.7 ± 4.77 | 2.3 ± 1.35 | 0.734 | 0.43 | 0.047 |
IL-13 | 9.3 ± 4.80 | 10.2 ± 2.72 | 0.193 | 0.52 | 0.014 |
GM-CSF | 28.3 ± 12.98 | 33.6 ± 20.71 | 0.734 | 0.37 | 0.076 |
GRO | 457.4 ± 215.28 | 381.1 ± 149.52 | 0.277 | 0.23 | 0.272 |
IFN-γ | 293.1 ± 103.77 | 317.3 ± 114.59 | 0.651 | 0.21 | 0.329 |
MCP-1 | 951.8 ± 265.13 | 540.3 ± 261.01 | 0.003 | -0.03 | 0.903 |
MIP-1α | 679.1 ± 525.50 | 263.3 ± 226.85 | 0.041 | -0.51 | 0.807 |
MIP-1β | 32.9 ± 27.1 | 11.4 ± 10.1 | 0.034 | 0.29 | 0.180 |
MMP-9 | 151.4 ± 111.58 | 108.1 ± 79.15 | 0.343 | 0.18 | 0.393 |
RANTES | 2.9 ± 3.76 | 0.9 ± 0.59 | 0.343 | 0.65 | 0.002 |
TNFα | 977.0 ± 401.35 | 1,140.8 ± 377.42 | 0.310 | 0.44 | 0.038 |
VEGF | 236.2 ± 196.31 | 106.3 ± 30.41 | 0.009 | - | - |
wAMD, wet age-related macular degeneration | |||||
* Mann-Whitney U test | |||||
† Spearman’s rank correlation. |
Intraocular cytokines and OCT-based retinal morphology in wet AMD patients
The neovascular AMD patient groups were subdivided according to the OCT components. There were nine wet CNV patients with SRF and four wet CNV patients without SRF. The nine patients with CNV and SRF showed significantly lower levels of proinflammatory cytokines, such as IL-1α and GM-CSF, compared with patients with CNV without SRF (median 18.5 pg/mL and 216.3 pg/mL, respectively, p = 0.036; median 19.9 pg/mL and 71.0 pg/mL, respectively, p = 0.05). Moreover, it was confirmed that there was a statistically significant negative correlation between the volume of SRF and the concentration of IL-1α (Fig. 2).
Similar phenomena were also observed in patients with PED. Patients with PED showed relatively low levels of inflammatory cytokines, such as GM-CSF, IFN-γ, and TNF-α, compared with those without PED (median 18.5 pg/mL and 72.9 pg/mL, respectively, p = 0.006; median 262.5 pg/mL and 681.4 pg/mL, respectively, p = 0.034; median 836.4 pg/mL and 2,026.6 pg/mL, respectively, p = 0.011). In contrast, patients with subretinal tissue (SRT) showed a relatively high level of IFN-γ compared with those without SRT (median 487.0 pg/mL and 238.4 pg/mL, respectively, p = 0.045) (Table 3). There was no statistically significant correlation between the volume of PED and SRT and the cytokine levels.
SRF (n = 9) | PED (n = 8) | SRT (n = 8) | |||||||
---|---|---|---|---|---|---|---|---|---|
(+) | (-) | P* | (+) | (-) | P* | (+) | (-) | P* | |
IL-1α | 18.5 ± 15.9 | 216.3 ± 199.5 | 0.036 | 15.1 ± 9.7 | 170 ± 192.6 | 0.622 | 90.8 ± 152.1 | 17.9 ± 8.7 | 0.833 |
GM-CSF | 19.9 ± 11.4 | 71.0 ± 67.4 | 0.050 | 18.5 ± 10.9 | 72.9 ± 65.6 | 0.006 | 48.1 ± 50.6 | 14.7 ± 13.4 | 0.065 |
IFN-γ | 264.6 ± 62.6 | 676.6 ± 611.8 | 0.076 | 262.5 ± 63.2 | 681.4 ± 607.3 | 0.034 | 487.0 ± 451.5 | 238.4 ± 43.2 | 0.045 |
MCP-1 | 984.1 ± 255.7 | 854.4 ± 266.1 | 0.503 | 964.3 ± 228.3 | 899.1 ± 343.3 | 0.284 | 963.8 ± 287.6 | 913.0 ± 710.1 | 0.622 |
MIP-1α | 812.8 ± 545.3 | 330.9 ± 127.6 | 0.076 | 787.4 ± 561.3 | 388.1 ± 190.6 | 0.065 | 506.3 ± 276.0 | 917.7 ± 710.1 | 0.284 |
MIP-1β | 38.2 ± 29.1 | 21.3 ± 13.0 | 0.414 | 34.0 ± 29.2 | 30.7 ± 20.2 | 0.724 | 27.5 ± 17.4 | 41.9 ± 36.5 | 0.622 |
TNFα | 860.0 ± 225.2 | 1,973.3 ± 1399.3 | 0.106 | 836.4 ± 216.7 | 2,026.6 ± 1,343.3 | 0.011 | 1,409.4 ± 1,100.2 | 871.6 ± 295.3 | 0.284 |
VEGF | 189.2 ± 73.6 | 349.3 ± 327.7 | 0.076 | 165.0 ± 57.6 | 403.8 ± 289.9 | 0.354 | 283.7 ± 232.8 | 166.0 ± 60.5 | 0.524 |
VEGF, vascular endothelial growth factor | |||||||||
* Mann-Whitney U test |
We classified patients with neovascular AMD into two groups. Eight eyes of eight patients were classified as type 1 CNV, and five eyes of five patients were classified as type 2 CNV. Compared with the control group, the type 1 CNV group showed increased levels of MCP-1, MIP-1α, and MIP-1β, (median 540.3 pg/mL and 1,003.5 pg/mL, respectively, p = 0.001; median 263.3 pg/mL and 842.1 pg/mL, respectively, p = 0.021; median 11.4 pg/mL and 37.2 pg/mL, respectively, p = 0.012), but not of VEGF (median 106.5 pg/mL and 168.8 pg/mL, respectively, p = 0.083). Meanwhile, the type 2 CNV group showed increased levels of MCP-1 and VEGF (median 540.3 pg/mL and 849.4 pg/mL, respectively, p = 0.040; median 106.3 pg/mL and 350.0 pg/mL, respectively, p = 0.040) (Table 4).
Control (n = 10) | Type 1 (n = 8) | Type 2 (n = 5) | |
---|---|---|---|
IFN-γ | 317.3 ± 114.59 | 247.3 ± 46.7 | 621.9 ± 542.5 |
p value versus controls | - | 0.460 | 0.129 |
p value versus type 1 | - | - | 0.006 |
MCP-1 | 540.3 ± 261.01 | 1,003.5 ± 209.2 | 849.4 ± 317.3 |
p value versus controls | - | 0.001 | 0.040 |
p value versus type 1 | - | - | 0.284 |
MIP-1α | 263.3 ± 226.85 | 842.1 ± 573.8 | 380.4 ± 166.0 |
p value versus controls | - | 0.021 | 0.206 |
p value versus type 1 | - | - | 0.065 |
MIP-1β | 11.4 ± 10.1 | 37.2 ± 29.5 | 26.3 ± 20.1 |
p value versus controls | - | 0.012 | 0.129 |
p value versus type 1 | - | - | 0.724 |
TNFα | 1,140.8 ± 377.42 | 836.4 ± 231.6 | 1,788.4 ± 1,279.4 |
p value versus controls | - | 0.274 | 0.440 |
p value versus type 1 | - | - | 0.019 |
VEGF | 106.3 ± 30.41 | 168.8 ± 60.3 | 350.0 ± 278.4 |
p value versus controls | - | 0.083 | 0.040 |
p value versus type 1 | - | - | 0.354 |
VEGF, vascular endothelial growth factor | |||
* Mann-Whitney U test |
Patients with type 1 CNV showed relatively low concentrations of INF-γ and TNF-α compared to those with type 2 CNV (median 247.3 pg/mL and 621.9 pg/mL, respectively, p = 0.006; median 836.4 pg/mL and 1,788.4 pg/mL, respectively, p = 0.019) (Table 4).
We investigated various cytokine and angiogenic factors associated with aqueous humor. The vitreous sample would be more appropriate than the aqueous sample because it better reflects the state of the retina in AMD patients. Nevertheless, obtaining samples from the vitreous is dangerous and may cause adverse effects, such as vitreous hemorrhage, retinal detachment, endophthalmitis, among others. There may be differences in the concentration of immune mediators between the aqueous and the vitreous humor. However, the collection of samples from the aqueous humor is safer and easier, and similar levels have been reported in both the aqueous and vitreous humors.[10–12] Immune mediators in the aqueous humor likely explain the presence of immune mediators in the vitreous humor. Thus, the results of our study suggest that the eyes of patients with neovascular AMD showed increased MCP-1, MIP-1α, MIP-1β, and VEGF concentrations in the vitreous.
MCP-1 is a potent chemotactic factor for monocytes and macrophages, and plays a critical role in angiogenesis and inflammatory processes.[13] MCP-1 attracts macrophages into the CNV lesion and assists with digestion of the RPE and Bruch’s membrane in the experimental models.[14, 15] MCP-1 also induces angiogenesis by recruiting other cells, such as tumor-associated macrophages. These cells, in turn, release growth and angiogenic factors, such as VEGF.[16] Our results showed significantly elevated aqueous humor levels of MCP-1 in patients with CNV versus controls and were in agreement with those of previous studies. MIP-1α and MIP-1β have been implicated in retinal inflammation, particularly in early T-cell-dependent stages.[17–19] Their production by T lymphocytes entering the tissue is advantageous in many inflammatory situations because they amplify inflammatory cell recruitment. However, this cascade effect is likely to exacerbate predisposing factors in susceptible individuals.[20] Consequently, T cell regulation of MIP-1α and MIP-1β production is important. An in vitro study has shown that RPE cells downregulate the levels of CCL3(MIP-1α) and CCL4(MIP-1β) production by T lymphocytes using the soluble mediators sCD54 and prostaglandin E2 (PGE2).[20] Yang et al. found that MIP-1a expression increased in the corneal neovascularization tissue of mice, suggesting that MCP-1 and MIP-1a is related to inflammation and neovascularization.[21] In addition, it was confirmed that MIP-1a was significantly increased in a study targeting the laser-induced CNV mouse model. MIP-1a was significantly correlated with the CNV lesion area, suggesting that the migration of MIP-1a-mediated macrophages could induce an inflammatory response and affect CNV formation.[22] Our novel results showed elevated aqueous humor concentrations of MIP-1α and MIP-1β in eyes with neovascular AMD. We believe that these findings are attributed to a disrupted RPE cell regulation because of degeneration and suggest that inflammatory factors may influence the pathogenesis of AMD.[23]
Quantitative analysis of OCT images is useful for the treatment strategy selection and for monitoring the biological response to treatment. It is possible to characterize individual CNV lesions according to the presence or number of sub-components. This could help investigate CNV heterogeneous lesions. Unfortunately, there is a lack of a reliable correlation between the role of intraocular cytokines and OCT-based parameters. We analyzed the differences in cytokine levels between wet AMD patients with SRF or PED and those without SRF or PED.
As described in the results, patients with CNV and SRF showed low concentrations of proinflammatory cytokines, such as IL-1α and GM-CSF. IL-1α is a proinflammatory cytokine that derives macrophages and induces acute inflammation.[24] Pathologically, IL-1α can stimulate RPE cells to secrete GM-CSF, which is a potent chemoattractant that recruits macrophages to the retina. IL-1α is also implicated in the pathogenesis of CNV. Blocking IL-1α receptors could inhibit the development of CNV in an experimental animal model.[25] Therefore, lower intraocular concentrations of IL-1α indicate lower levels of inflammation in CNV pathogenesis. Our results indicate that SRF may be associated with a positive prognosis because we found relatively low levels of proinflammatory cytokines in the SRF-positive group. Other studies have found that SRF may be associated with a benign disease course in patients with CNV lesions.[5] Moreover, in the SRF-positive group, we found a negative correlation between the concentration of IL-1α and the volume of SRF (Fig. 2).[26] A potential explanation for this correlation is that SRF could be suggestive of a functional providing RPE and photoreceptor survival, in contrast to vascular atrophy in the sub-RPE space. The presence of SRF may be suggestive of a less aggressive, perhaps even supportive, stage of CNV, rather than advanced destructive neurosensory ingrowth associated with intraretinal exudation. This is supported by the fact that treatment-refractory SRF was not detrimental to the vision outcome in a recent study.[5] Interestingly, positive effects of SRF on the visual outcome have also been reported in diabetic macular edema and retinal vein occlusion.[27, 28]
In the presence of PED on OCT, it was confirmed that IFN-γ and TNF-α values were significantly lower than those of the group without PED. In other animal studies, it has been argued that they may help maintain the outer blood-retinal barrier by providing fluid transport in RPE cells.[29, 30] Therefore, through the results of this study, it can be considered that PED may occur due to a decrease in these cytokines. Significantly smaller values were also measured in the type 1 CNV group than in the type 2 CNV group, and it is thought that additional research is needed on this result.
Our findings suggest that angiographic classification may be an important clue to determine the treatment strategy. Patients with type 1 CNV showed increased levels of MCP-1, MIP-1α, and MIP-1β, but not VEGF, compared to those with type 2 CNV. These results suggest that in patients with type 1 CNV, inhibition of VEGF alone may not be a sufficient treatment. The levels of VEGF and angiogenic inflammatory cytokines were not significantly increased in patients with type 1 CNV compared with the control group. Inhibition of the MCP-1, MIP-1α, and MIP-1β related cascade may be a promising advance in CNV treatment, especially for patients with type 1 CNV. Considering that platelet-derived growth factor (PDGF) is the main growth factor that stimulates the secretion of MCP-1,[31] PDGF inhibition could be a promising treatment for CNV, particularly in patients with type 1 CNV.
Moreover, we confirmed that the VEGF concentration of aqueous humor in type 2 CNV was higher than that of type 1 CNV or in the control group. It is thought that type 2 CNV patients have a higher VEGF concentration in the vitreous cavity and anterior chamber due to the growth of neovascularization in the subretina, and that their prognosis is worse. In fact, several studies also found that, after anti-VEGF injection treatment, type 2 CNV patients showed worse visual acuity and a poor responsiveness to injection when compared to type 1 CNV patients.[32, 33]
A limitation of this study is that the sample size was small; therefore, a larger multicenter prospective randomized study is required to clarify the effects of inflammatory factors in AMD. In addition, it would be good to analyze the sample size larger to confirm the correlation between quantitative data of OCT and aqueous humor cytokine. Moreover, since factors such as SRF and PED may be temporary, additional studies are needed to confirm the change in cytokine concentration according to changes in these factors after injection treatment in the same patient.
In conclusion, inflammatory cytokines varied according to the type of AMD- and OCT-based parameters. Our observation of low levels of VEGF in patients with type 1 CNV implies that the inhibition of VEGF alone appears to be insufficient treatment for these patients and that cytokines such as MCP-1, MIP-1α, and MIP-1β should be modulated. Thus, treatment decisions for patients with wet AMD should be based on OCT-based biomarkers and angiographic classification schemes, and in patients with wet AMD, which is not treated well with anti-VEGF alone, it is necessary to further analyze inflammatory cytokines. And the presence of SRF in CNV may be associated with a positive prognosis because we found relatively low levels of proinflammatory cytokines. Understanding the pathological mechanisms of angiogenesis and the cytokines involved is necessary to identify new therapeutic targets for patients with neovascular diseases.
age-related macular degeneration (AMD)
vascular endothelial growth factor (VEGF)
choroidal neovascularization (CNV)
optical coherence tomography (OCT)
subretinal fluid (SRF)
pigment epithelial detachments (PED)
subretinal tissue (SRT)
retinal pigment epithelium (RPE)
Ethics approval and consent to participate
The current research followed the tenets of the Declaration of Helsinki, and all patients provided informed consent after an explanation of the study protocol. The Institutional Review Board at Kyung Hee University Hospital at Gangdong (KHNMC-2015-07-042) approved this retrospective study.
Consent for publication: Not applicable
Availability of data and materials
Competing interests: None
Funding
This research was supported by the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (2018M3A9E8078812) and Kyung Hee University (KHU-20191225).
Authors' contributions
Jin-Ho Joo and Hyejee Kim contributed equally to this work. These authors are co-first author. J.H.J. and H.K. contributed to the data acquisition, analysis, and interpretation of this work; and participated in drafting and revising the contents of the study. J.H.S. contributed to the data acquisition and analysis. S.W.M contributed to the concept of this work and approved the submission of the final version.
Acknowledgements
We would like to thank Editage (www.editage.co.kr) for English language editing.
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