Diabetic retinopathy (DR) is a common complication in patients with diabetes, and proliferative DR (PDR) has become an important cause of blindness; however, the mechanisms involved have not been fully elucidated. miRNAs and long noncoding RNAs can play an important role in DR, and they can accurately regulate the expression of target genes through a new regulatory model: competing endogenous RNAs. We isolated total RNA of extracellular vesicles (EVs) in the serum of healthy individuals and individuals with diabetes without DR, non-PDR, or PDR, and performed deep sequencing. We found aberrantly low expression of PPT2-EGFL8 and significantly increased level of miR-423-5p. PPT2-EGFL8 adsorbs miR-423-5p as a molecular sponge and inhibits hypoxia-induced human retinal microvascular endothelial cells proliferation. In an oxygen-induced retinopathy (OIR) model and a streptozotocin-induced diabetes model, Egfl8-overexpression treatment reduces diabetes-related reactive gliosis, inflammation, and acellular capillaries and attenuates the development of pathological neovascularization. In addition, PPT2-EGFL8 targeting miR-423-5p plays an important role in hypoxia-induced peroxisome proliferator-activated receptor-β/δ (PPARD)/angiopoietin-like 4 (ANGPTL4) signaling activation, especially the expression of the C-terminal ANGPTL4 fragment. Finally, ANGPTL4 significantly induces retinal vessel breakage in the inner limiting membrane and facilitates retinal vessel sprouting into the vitreous in the OIR mice. Thus, either new biomarkers or new therapeutic targets may be identified with translation of these findings.

Diabetic retinopathy (DR) is the most common microvascular complication of the population with diabetes and remains the leading cause of blindness among working-age adults in the developed world (1). DR is classified as nonproliferative DR (NPDR) or proliferative (PDR). Although sustained hyperglycemia is the major stimulus for NPDR development, retinal ischemia is a prerequisite for PDR and leads to increased angiogenic factor levels that accelerate retinal neovascularization (NV). If left untreated, retinal NV can result in retinal detachment, vitreous hemorrhage, glaucoma, and even irreversible loss of vision (2,3). In the last 4 decades, panretinal photocoagulation, a process in which the peripheral ischemic retina is burned with a laser to protect the patient’s central vision, has been the standard of care for PDR (4). Although effective in protecting central vision, panretinal photocoagulation leads to reduced peripheral and night vision. Moreover, PDR can progress in patients despite appropriate treatment. This issue emphasizes the importance of understanding the underlying mechanism(s) of retinal NV to identify therapeutic approaches for the prevention or treatment of PDR.

Long noncoding RNAs (lncRNAs) are commonly defined as transcribed RNAs of >200 nucleotides with no coding potential and are involved in numerous important biological processes (5,6). To date, only a limited number of lncRNAs have been well characterized, with a diverse array of mechanisms identified, including roles as guides, decoys, scaffolds, and signaling molecules (5,7). Recently, a class of lncRNAs, referred to as competing endogenous RNAs (ceRNAs), has been characterized (8). ceRNAs protect mRNAs by acting as molecular sponges for miRNAs that specifically repress target mRNAs. For instance, lncRNA MALAT1 may adsorb miR-320a or miR-150-5p as a molecular sponge and therefore modulate pathological angiogenesis in DR (9,10). Studies have demonstrated that many of these molecules target hypoxia-inducible factor/vascular endothelial growth factor (VEGF) signaling; however, not all patients respond well to anti-VEGF therapy. Moreover, for many patients who respond to anti-VEGF therapy, the response may only be temporary. The number of patients with diabetes with NPDR who continue to progress to PDR increases over time (11,12). This result suggests that other retinal angiogenic factors may also participate in the development of PDR in DR. We sought to explore the role of ischemia-driven lncRNAs and proangiogenic factors that directly contribute to retinal NV in patients with PDR.

In this study, we describe the function of a retinal angiogenesis-associated lncRNA (lnc-PPT2-EGFL8). PPT2-EGFL8 expression is downregulated during the pathogenesis of retinal NV and is required in ischemia-induced endothelial cell proliferation. Our study further reveals that PPT2-EGFL8 promotes retinal angiogenesis by absorbing miR-423-5p as a molecular sponge, which subsequently controls the activation of peroxisome proliferator-activated receptor-β/-δ (PPARD)/angiopoietin-like 4 (ANGPTL4) signaling, a critical signaling pathway involved in ischemic angiogenesis.

Subjects

All human studies were conducted according to the Declaration of Helsinki principles and were approved by the Human Research Ethics Committee of the Affiliated Wuxi People's Hospital of Nanjing Medical University. All participants were age- and sex-matched and signed a consent form after reading information about the study. Serum samples were drawn from healthy individuals or individuals with diabetes mellitus without DR (DM-NDR), NPDR, or PDR immediately prior to intervention.

RNA Sequencing

Extracellular vesicles (EVs) were isolated from serum. Total RNA in EVs was extracted using the Total Exosome RNA and Protein Isolation Kit (Invitrogen by Life Technologies). The amount and quality of lncRNA, mRNA, and small RNA in the total RNA was tested by RiboBio Co., Ltd. (Guangzhou, China). RNA library construction and sequencing were performed by RiboBio Co., Ltd. Next, the cDNA library of lncRNAs and mRNAs was sequenced on an Illumina Xten system (PE150). Then, the cDNA library of small RNA was sequenced on an Illumina HiSEq. 2500 (SE50). Raw reads were collected using related Illumina analysis software.

Animals and Treatments

Male mice (8 weeks old) were purchased from the laboratory animal center of the Academy of Military Medical Sciences (Beijing, China), housed under standard conditions (22.5°C and 42.5% humidity, under a 12-h/12-h light–dark cycle, using heated wood chip litter as bedding material) in the specific pathogen free animal center of Wuxi People’s Hospital Affiliated with Nanjing Medical University, and permitted ad libitum consumption of water. Animals were ventilated after being anesthetized with a mixture of ketamine and xylazine, and the effectiveness of the anesthesia was monitored by observing slow breathing, loss of muscular tone, and no response to surgical manipulation. The retinas were then harvested for subsequent analyses. All studies were conducted in accordance with the Guide for the Care and Use of Laboratory Animals (National Institutes of Health, Bethesda, MD) and the Association for Research in Vision and Ophthalmology (ARVO) Statement for the Use of Animals in Ophthalmic and Vision Research. All animal experiments fulfilled the Nanjing Medical University requirements for humane animal care.

Intravitreal adeno-associated virus (AAV) injection was administered, under anesthesia, into the right eye after pupil dilation. A sclerotomy was created using a sharp 30-gauge needle tip at ∼0.5–1 mm posterior to the limbus, and 1–2 μL of saline containing 5 × 1012 vector genomes (vg) of AAV2-ZsGreen-shRNA (AAV2-Null), AAV2-shPpt2-IRES-ZsGreen (AAV2-shPpt2), or AAV2-shEgfl8-IRES-ZsGreen (AAV2-shEgfl8) vectors supplied by Viral Therapy Technologies (Wuhan, China) was injected intravitreally using a 10-μL Hamilton syringe (701 RN; Hamilton Company, Reno, NV) attached to a 33-gauge blunt-end needle.

Diabetes was induced with an i.p. injection of streptozotocin (STZ) (55 mg/kg in 10 mmol/L citrate buffer at pH 4.5) for 5 consecutive days. The blood glucose levels were >300 mg/dL, indicating that diabetes had been established successfully. The STZ-treated mice were anesthetized with ketamine/xylazine, and an intravitreal injection of approximately 1 μl of the designated mixture was administered into the eyes using a 33-gauge needle.

In the neonatal mouse model of oxygen-induced retinopathy (OIR), 7-day-old mice were placed with their nursing dams in a 75% oxygen atmosphere for 5 days. Mice were subsequently returned to normal room air from postnatal day (P)12 to P17. At P3, randomly selected mice were intravitreally injected under anesthesia with 1 μL of saline containing the designated mixture using a 33-gauge needle under a surgical microscope. Eyes were dissected under deep anesthesia at P17 to assess the effect of OIR.

Cell Culture

Human retinal microvascular endothelial cells (hRMECs) that were >90% positive for acetylated LDL were obtained from BeNa Culture Collection (Beina Chuanglian Biotechnology Institute, Beijing, China) and cultured in DMEM with 10% FBS (v/v) and 1% antimycotics and antibiotics (v/v). Mycoplasma contamination was not detected.

RNA Fluorescence In Situ Hybridization

A Cy3-conjugated PPT2-EGFL8 probe was prepared from asymmetric PCR amplification, and the PCR products were gel purified (GenePharma, Shanghai, P.R. China). Briefly, hRMECs fixed with 4% paraformaldehyde (PFA) were dehydrated with 70–100% ethanol, air dried, and incubated at 37°C for 2 h with a denatured probe in formamide-containing buffer. The cells were then washed in hybridization buffer, followed by saline sodium citrate buffer, and mounted using Vectashield. The hybridized probes were visualized by fluorescein-Cy3–incorporated probe signals under a fluorescence microscope (Leica, Heidelberg, Germany).

Cell Transfection, Lentivirus Packaging, and Infection

siRNAs were designed and synthesized by RiboBio. The targeting sequences of siRNAs are listed in Supplementary Table 1. miRNA mimics and the matched negative controls were synthesized and purified by GenePharma (Shanghai, China), and the sequences are listed in Supplementary Table 2. RNA oligonucleotides were transfected by using Lipofectamine 2000 (Invitrogen, Carlsbad, CA), and the medium was replaced 6 h after transfection.

Tubule Formation Assay

Tubule formation assays were performed using growth factor-reduced Matrigel (BD Biosciences; 356231). Matrigel (60–80 μL) was added to a 96-well plate and placed in a 37°C CO2 incubator for 30 min. The hRMECs were counted and seeded at 2 × 104 cells per well on the Matrigel into a 96-well plate. Images were captured 10 h later and analyzed using ImageJ software (National Institutes of Health).

Retinal Imaging

Animals were anesthetized, and Cyclomydril (Alcon, Fort Worth, TX) was used to dilate their pupils. Spectral domain optical coherence tomography (OCT) images were obtained using the Micron IV image-guided OCT system (Phoenix Research Laboratories, Pleasanton, CA).

Evans Blue

Mice were administered Evans blue (100 mg/kg) via the femoral vein and kept on a warm pad for 60 min. The eyes were collected and fixed in 4% PFA (w/v) for 2 h. The retinal flat mounts were acquired, mounted on glass slides, and examined under an Olympus BX-51 light microscope (Olympus, Tokyo, Japan).

Retinal Trypsin Digestion Assay

Eyes were enucleated and fixed in 4% PFA (w/v) for 2 h at room temperature. Retinas were collected, equatorially bisected, and incubated with 3% trypsin (w/v) at 37°C for 2 h. They were then gently shaken to free the vessel network, washed, and mounted onto glass slides to dry. The retinal vasculature was stained with periodic acid–Schiff and hematoxylin. Digital images were examined using an Olympus BX-51 light microscope.

Lectin Labeling of Adherent Retinal Leukocytes

Mice were anesthetized, and a 14-gauge perfusion cannula was introduced into the left ventricle. Drainage was observed in the right atrium. The animals were perfused with PBS for 2 min. After PBS perfusion, fixation with 1% PFA (w/v) and 0.5% glutaraldehyde (w/v) was achieved over ∼3 min. Nonspecific binding was blocked with 1% albumin (w/v) in 5 mL of PBS, followed by perfusion with FITC-coupled concanavalin A lectin for 5 min (5 mg/kg body wt; Vector Laboratories, Burlingame, CA). Residual unbound lectin was removed with 1% albumin (w/v) in PBS perfusion for 1 min, followed by PBS perfusion for 4 min. The retinas were carefully removed, and flat mounts were prepared and imaged using a confocal microscope (Leica).

Immunofluorescence Analysis

Standard immunofluorescence analysis was performed to indicate glial fibrillary acidic protein (GFAP; 1:1,000, Sigma-Aldrich) and IBA1 (1:1,000, Cell Signaling) expression, followed by goat anti-mouse/rabbit IgG (H + L) cross-adsorbed secondary antibody, Alexa Fluor 555 and IB4 (1:500; Life Technologies, Carlsbad, CA) in mouse retinas. Monoclonal anti–Ki-67 antibody (1:1,000; Abcam, Cambridge, MA) was used to mark the cell cycle in hRMECs.

Histological and Immunohistochemical Analysis

Animals were anesthetized, and their eyes were dissected and fixed overnight in 4% PFA (w/v). The retinas and scleras were dehydrated in different concentrations of graded ethanol and embedded in paraffin. For hematoxylin-eosin (H-E) staining, 5-µm-thick sections were taken along the vertical meridian. Digital images of H-E staining were observed under an Olympus BX-51 light microscope.

RNA Immunoprecipitation

RNA immunoprecipitation was performed using an RNA-Binding Protein Immunoprecipitation Kit (cat. no. 17-700; Millipore). Chromatin extract was prepared, and the protein-RNA complex (24 μg RNA) was immunoprecipitated with Ago2 antibody (4 μg) (cat. no. 030-110; Sigma-Aldrich). Each RNA immunoprecipitate was purified and subsequently analyzed by quantitative (q) real-time PCR.

Dual-Luciferase Reporter Assay

HEK293T cells were cotransfected with the indicated mimics and reporter plasmids. After incubation for 24 h, relative luciferase activities were measured using the Dual-Luciferase Reporter Assay System (E1910, Promega) according to the manufacturer’s protocol.

Western Blot

Protein in cell lysates was analyzed via electrophoresis using an SDS-PAGE gel and transferred to polyvinylidene fluoride membranes (Millipore, Billerica, MA). Antibodies against PPARD (1:1,000), ANGPTL4 (1:1,000), and VEGFA (1:1,000) were obtained from Abcam. β-Actin antibody was used to confirm equal protein loading in the samples. The signal on the membranes was detected using an enhanced chemiluminescence system (West Pico kit; Pierce, Loughborough, U.K.). Band density was analyzed using ImageJ software. The antibodies are detailed in Supplementary Table 3.

RNA Quantification

RNA was extracted and analyzed using qRT-PCR. The data were analyzed using the 2–ΔΔCT method and normalized to the endogenous control GAPDH mRNA (for humans), and the amount of target gene mRNA expression in each sample was expressed relative to that of the control. Primer sequences for real-time quantitative PCR (qPCR) were designed using Primer Express Software (Thermo Fisher Scientific, Waltham, MA) (Supplementary Table 4). miRNA detection was performed using an miRNA isolation kit (Vazyme, Nanjing, China). Reverse transcription of miRNAs was performed using looped miRNA-specific reverse transcription primers (RiboBio), with U6 as a reference. The relative expression levels of miRNAs were measured using the 2–ΔΔCT method.

ELISA

The level of ANGPTL4 in the serum of the healthy individuals or the patients with DM-NDR, NPDR, or PDR was measured using commercial ELISA kits (Cusabio, Wuhan, China).

Statistical Analysis

The results are expressed as the mean ± SEM. ANOVA was used for multiple group comparisons, followed by the Tukey post hoc test. The Tukey post hoc test was run only if the F value achieved P < 0.05 and there was no significant variance in homogeneity. The data were analyzed using GraphPad Prism 5 statistical software (GraphPad Software, La Jolla, CA). A P value of <0.05 was considered statistically significant.

Data and Resource Availability

The data that support the findings of this study are available from the corresponding author, Xiaolu Wang, upon reasonable request. Some of these resources are available within the article or its Supplementary Materials, and others are available on request.

lncRNAs Differentially Expressed in Individuals With DR

Following the exclusion of patients who did not meet the criteria for inclusion, 87 patients were enrolled in the study (Fig. 1A). Fundus photography and fundus fluorescein angiography were used to divide 77 individuals with diabetes were divided into five groups, including DM-NDR, mild NPDR, moderate NPDR, severe NPDR, and PDR patients (Fig. 1B). There were no statistically significant differences in the demographic baseline characteristics among these groups (Table 1). We assessed the angiogenic potential of serum and vitreous fluid of healthy individuals and individuals with DM-NDR, NPDR, or PDR in stimulating hRMEC tubule formation. Fluid from the healthy individuals or the patients with DM-NDR did not have a significant effect on tubule formation. In contrast, the serum or vitreous fluid from the patients with diabetes with PDR stimulated tubule formation (Fig. 2A–C). It has been reported that lncRNAs play a critical role in DR and that their expression profiles vary based on the cellular types and conditions (13). Deep sequencing identified 13,870 lncRNAs in the serum of the healthy individuals or the patients with DM-NDR, NPDR, or PDR. Among these, 606 annotated lncRNAs were altered with a log twofold change less than −2 or >2 (Fig. 2D). To analyze and classify the differentially expressed lncRNAs, we used series test of cluster to examine the corresponding changes in these underlying functional lncRNAs. In total, 35 profiles were generated, and each profile represented a cluster of multiple lncRNAs with coincident expression patterns (data not shown). Among the 35 patterns, 4 expression patterns, namely, profiles 15, 16, 17, and 31 showed statistical significance (P < 0.05) (Fig. 2E).

Figure 1

Information of human participants. A: Flowchart of the study. FPG, fasting plasma glucose; PG, postprandial glucose. B: Representative clinical signs of DR on fundus photography from patients with diabetes. Mild NPDR with microaneurysms. Moderate NPDR with hard exudates and cotton wool spots. Severe NPDR with hemorrhages, hard exudates, and cotton wool spots. PDR showing preretinal and vitreous hemorrhages.

Figure 1

Information of human participants. A: Flowchart of the study. FPG, fasting plasma glucose; PG, postprandial glucose. B: Representative clinical signs of DR on fundus photography from patients with diabetes. Mild NPDR with microaneurysms. Moderate NPDR with hard exudates and cotton wool spots. Severe NPDR with hemorrhages, hard exudates, and cotton wool spots. PDR showing preretinal and vitreous hemorrhages.

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Table 1

The baseline characteristics

DM-NDRMild NPDRModerate NPDRSevere NPDRPDRTotalP value
n = 16n = 22n = 16n = 13n = 10N = 77
Age (y) 59.88 ± 12.52 59.77 ± 12.26 64.00 ± 14.18 63.00 ± 9.80 62.4 ± 9.582 61.56 ± 11.9 0.794 
Male sex 9 (56.3) 11 (50) 10 (62.5) 8 (61.5) 5 (50) 43 (55.8) 0.930 
Type 2 diabetes 16 (100) 21 (95) 16 (100) 12 (92) 10 (100) 75 (97) 0.611 
Diabetes duration (y) 12.19 ± 6.52 11.56 ± 8.12 13.05 ± 10.3 10.01 ± 7.02 14.53 ± 6.46 12.13 ± 7.88 0.709 
Hypertension 9 (56.3) 16 (72.7) 11 (68.8) 10 (76.9) 7 (70) 53 (68.8) 0.797 
Nephropathy 4 (25) 5 (22.7) 6 (37.5) 6 (46.2) 4 (40) 25 (32.5) 0.589 
Peripheral neuropathy 12 (75) 17 (77.3) 12 (75) 12 (92.3) 8 (80) 61 (79.2) 0.794 
FBG (3.9–6.1 mmol/L) 8.27 ± 2.43 8.94 ± 3.24 8.72 ± 4.01 8.29 ± 3.06 9.31 ± 2.84 8.69 ± 3.13 0.911 
30-min PBG (6.1–9.4 mmol/L) 12.72 ± 2.70 12.99 ± 2.15 10.75 ± 3.62 12.53 ± 4.39 9.05 ± 1.65 12.01 ± 3.13 0.295 
1-h PBG (6.7–9.4 mmol/L) 16.72 ± 2.72 17.61 ± 3.95 15.34 ± 4.93 17.78 ± 3.71 13.07 ± 1.22 16.50 ± 4.00 0.289 
2-h PBG (3.9–7.8 mmol/L) 20.07 ± 3.85 20.93 ± 4.14 19.35 ± 6.34 21.12 ± 3.85 17.07 ± 5.55 20.01 ± 4.82 0.388 
Triglyceride (mmol/L) 1.75 ± 0.72 2.54 ± 2.53 1.90 ± 1.25 2.31 ± 1.74 1.09 ± 0.44 2.06 ± 1.73 0.348 
Total cholesterol (mmol/L) 4.90 ± 1.69 5.11 ± 1.44 4.80 ± 1.10 4.60 ± 1.05 4.71 ± 1.72 4.88 ± 1.37 0.870 
LDL (mmol/L) 2.91 ± 1.20 2.71 ± 1.03 2.80 ± 0.77 2.39 ± 0.86 2.80 ± 1.28 2.73 ± 1.00 0.743 
HDL (mmol/L) 0.97 ± 0.27 1.06 ± 0.45 1.02 ± 0.37 1.01 ± 0.25 1.14 ± 0.27 1.03 ± 0.35 0.867 
C-reactive protein (mg/L) 7.82 ± 17.36 3.91 ± 6.48 2.35 ± 3.43 5.03 ± 7.16 0.86 ± 0.84 4.28 ± 9.42 0.400 
DM-NDRMild NPDRModerate NPDRSevere NPDRPDRTotalP value
n = 16n = 22n = 16n = 13n = 10N = 77
Age (y) 59.88 ± 12.52 59.77 ± 12.26 64.00 ± 14.18 63.00 ± 9.80 62.4 ± 9.582 61.56 ± 11.9 0.794 
Male sex 9 (56.3) 11 (50) 10 (62.5) 8 (61.5) 5 (50) 43 (55.8) 0.930 
Type 2 diabetes 16 (100) 21 (95) 16 (100) 12 (92) 10 (100) 75 (97) 0.611 
Diabetes duration (y) 12.19 ± 6.52 11.56 ± 8.12 13.05 ± 10.3 10.01 ± 7.02 14.53 ± 6.46 12.13 ± 7.88 0.709 
Hypertension 9 (56.3) 16 (72.7) 11 (68.8) 10 (76.9) 7 (70) 53 (68.8) 0.797 
Nephropathy 4 (25) 5 (22.7) 6 (37.5) 6 (46.2) 4 (40) 25 (32.5) 0.589 
Peripheral neuropathy 12 (75) 17 (77.3) 12 (75) 12 (92.3) 8 (80) 61 (79.2) 0.794 
FBG (3.9–6.1 mmol/L) 8.27 ± 2.43 8.94 ± 3.24 8.72 ± 4.01 8.29 ± 3.06 9.31 ± 2.84 8.69 ± 3.13 0.911 
30-min PBG (6.1–9.4 mmol/L) 12.72 ± 2.70 12.99 ± 2.15 10.75 ± 3.62 12.53 ± 4.39 9.05 ± 1.65 12.01 ± 3.13 0.295 
1-h PBG (6.7–9.4 mmol/L) 16.72 ± 2.72 17.61 ± 3.95 15.34 ± 4.93 17.78 ± 3.71 13.07 ± 1.22 16.50 ± 4.00 0.289 
2-h PBG (3.9–7.8 mmol/L) 20.07 ± 3.85 20.93 ± 4.14 19.35 ± 6.34 21.12 ± 3.85 17.07 ± 5.55 20.01 ± 4.82 0.388 
Triglyceride (mmol/L) 1.75 ± 0.72 2.54 ± 2.53 1.90 ± 1.25 2.31 ± 1.74 1.09 ± 0.44 2.06 ± 1.73 0.348 
Total cholesterol (mmol/L) 4.90 ± 1.69 5.11 ± 1.44 4.80 ± 1.10 4.60 ± 1.05 4.71 ± 1.72 4.88 ± 1.37 0.870 
LDL (mmol/L) 2.91 ± 1.20 2.71 ± 1.03 2.80 ± 0.77 2.39 ± 0.86 2.80 ± 1.28 2.73 ± 1.00 0.743 
HDL (mmol/L) 0.97 ± 0.27 1.06 ± 0.45 1.02 ± 0.37 1.01 ± 0.25 1.14 ± 0.27 1.03 ± 0.35 0.867 
C-reactive protein (mg/L) 7.82 ± 17.36 3.91 ± 6.48 2.35 ± 3.43 5.03 ± 7.16 0.86 ± 0.84 4.28 ± 9.42 0.400 

Data are presented as n (%) or mean ± SEM. FBG, fasting blood glucose; PBG, postprandial blood glucose.

Figure 2

Identification and characterization of lncRNA PPT2-EGFL8. (A–C) Serum and vitreous fluid from healthy control (Con) patients without diabetes or individuals with DM-NDR, NPDR, or PDR stimulates tubule formation. D: Clustering analysis based on the most variable lncRNAs in plasma. E: The expression patterns of differentially expressed lncRNAs were analyzed, and four profiles with statistical significance (P < 0.05) are shown. Each box represents a model expression profile. F: Relative mRNA expression of lncRNA ENSG00000232633.3, TEN1-CDK3, and PPT2-EGFL8 as determined by qPCR (n = 6). G: The distribution of lncRNA PPT2-EGFL8 in the cytoplasm and nucleus of hRMECs (n = 3). H: Fluorescence in situ hybridization of U6, 18S, and PPT2-EGFL8 in hRMECs. Similar to 18S, PPT2-EGFL8 is expressed in the cytoplasm. Scale bars, 50 μm. NC, nontargeting control. The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated; NS, not significant.

Figure 2

Identification and characterization of lncRNA PPT2-EGFL8. (A–C) Serum and vitreous fluid from healthy control (Con) patients without diabetes or individuals with DM-NDR, NPDR, or PDR stimulates tubule formation. D: Clustering analysis based on the most variable lncRNAs in plasma. E: The expression patterns of differentially expressed lncRNAs were analyzed, and four profiles with statistical significance (P < 0.05) are shown. Each box represents a model expression profile. F: Relative mRNA expression of lncRNA ENSG00000232633.3, TEN1-CDK3, and PPT2-EGFL8 as determined by qPCR (n = 6). G: The distribution of lncRNA PPT2-EGFL8 in the cytoplasm and nucleus of hRMECs (n = 3). H: Fluorescence in situ hybridization of U6, 18S, and PPT2-EGFL8 in hRMECs. Similar to 18S, PPT2-EGFL8 is expressed in the cytoplasm. Scale bars, 50 μm. NC, nontargeting control. The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated; NS, not significant.

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Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment Analyses of the Differentially Expressed Genes

The biological processes from the Gene Ontology (GO) categories for the differentially expressed genes with downregulated expression were mainly involved in the regulation of signaling transduction, metabolic processes, and cell proliferation (Supplementary Fig. 1). In addition, target genes associated with the main biological pathways were identified by Kyoto Encyclopedia of Genes and Genomes (KEGG) by enrichment analysis, axon guidance, metabolic pathways, cell cycle, glutamatergic synapse, phosphoinositide 3-kinase–Akt signaling pathway, extracellular matrix-receptor interaction, and gap junction (Supplementary Fig. 2).

Identification and Characterization of lncRNA PPT2-EGFL8

We narrowed the data set based on the expression level, conservation, and function of the coexpressed genes and focused on lncRNA ENSG00000232633.3, TEN1-CDK3, and PPT2-EGFL8. These results were confirmed by real-time PCR experiments, and PPT2-EGFL8 expression was significantly downregulated in individuals with PDR (Fig. 2F). Additionally, cell fractionation analysis indicated that PPT2-EGFL8 is mostly localized to the cytoplasm, which was consistent with the results of RNA fluorescence in situ hybridization (Fig. 2G and H). Full-length PPT2-EGFL8 (2728 nt) was amplified from the 5′ and 3′ ends (Supplementary Fig. 3).

PPT2-EGFL8 Inhibits Hypoxia-Induced hRMEC Proliferation

PPT2-EGFL8 expression in hRMECs was significantly higher than that in Müller cells (Supplementary Fig. 4). Moreover, PPT2-EGFL8 significantly decreased in 30 mmol/L high glucose- or 1% O2 (hypoxia)-treated hRMECs compared with the control cells (Fig. 3A and B). We overexpressed (OE) PPT2-EGFL8 in hRMECs and examined the role of PPT2-EGFL8 in hRMEC proliferation using tubule formation assays and the expression of the cell cycle marker Ki67 (Supplementary Fig. 5A and Fig. 3C–E). Tubule formation and Ki67 expression were dramatically decreased in the hypoxia-induced hRMECs and decreased in the PPT2-EGFL8-OE hRMECs (Fig. 3C–E). Moreover, hRMECs were transfected with siRNA targeting PPT2-EGFL8 (si-PPT2-EGFL8) or a nontargeting siRNA control (si-NC) for 48 h. The siRNA expression vectors efficiently reduced the level of PPT2-EGFL8 in hRMECs (Supplementary Fig. 5B). Accordingly, hypoxia-induced tubule formation and Ki67 expression were increased in the siRNA-transfected cells (Fig. 3F–H).

Figure 3

PPT2-EGFL8 regulates pathological retinal angiogenesis in vitro and in vivo. A and B: Relative mRNA expression of PPT2-EGFL8 in each group of hRMECs (n = 6, A; n = 8, B). C: Proliferation of hRMECs in tubule formation assays was determined after PPT2-EGFL8 OE. D and E: A representative image is shown for Ki67 staining along with the quantification of Ki67-positive cells (n = 5). Scale bar, 25 μm. F: Proliferation of hRMECs in tubule formation assays was determined. G and H: A representative image is shown for Ki67 staining along with the quantification of Ki67-positive cells (n = 5). Scale bar, 25 μm. I: A certain region of PPT2-EGFL8 in the mouse genome was conserved in humans. J: Schematic diagram of the in vivo experimental design. Panel J was created using Figdraw (www.figdraw.com). K and L: H-E staining in paraffin sections of mouse retina at P17. K: Histological features of retinal NV. Scale bar, 25 μm. L: Neovascularization was assessed quantitatively by counting the endothelial cell nuclei anterior to the inner limiting membrane (n = 6). M and N: Mice were infused with Evans blue dye for 2 h. M: The avascular regions and NV (preretinal tufts) in the flat-mounted retina were detected using an Olympus BX-51 light microscope at ×4 objective (n = 6). Scale bar, 100 μm. N: The quantification results are expressed as the ratio of avascular regions and NV area to total retinal area (n = 6). The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated. LG, low glucose; HG, high glucose; Con, vehicle-treated mice.

Figure 3

PPT2-EGFL8 regulates pathological retinal angiogenesis in vitro and in vivo. A and B: Relative mRNA expression of PPT2-EGFL8 in each group of hRMECs (n = 6, A; n = 8, B). C: Proliferation of hRMECs in tubule formation assays was determined after PPT2-EGFL8 OE. D and E: A representative image is shown for Ki67 staining along with the quantification of Ki67-positive cells (n = 5). Scale bar, 25 μm. F: Proliferation of hRMECs in tubule formation assays was determined. G and H: A representative image is shown for Ki67 staining along with the quantification of Ki67-positive cells (n = 5). Scale bar, 25 μm. I: A certain region of PPT2-EGFL8 in the mouse genome was conserved in humans. J: Schematic diagram of the in vivo experimental design. Panel J was created using Figdraw (www.figdraw.com). K and L: H-E staining in paraffin sections of mouse retina at P17. K: Histological features of retinal NV. Scale bar, 25 μm. L: Neovascularization was assessed quantitatively by counting the endothelial cell nuclei anterior to the inner limiting membrane (n = 6). M and N: Mice were infused with Evans blue dye for 2 h. M: The avascular regions and NV (preretinal tufts) in the flat-mounted retina were detected using an Olympus BX-51 light microscope at ×4 objective (n = 6). Scale bar, 100 μm. N: The quantification results are expressed as the ratio of avascular regions and NV area to total retinal area (n = 6). The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated. LG, low glucose; HG, high glucose; Con, vehicle-treated mice.

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Egfl8 Inhibits Postnatal Retinal Angiogenesis in Mice With OIR

The conservation of the Egfl8 transcript in mice (mm10_percent: 92.72%) was higher than that of the Ppt2 transcript (mm10_percent: 51.68%) (Fig. 3I). The mouse retinas showed rich expression of Egfl8 (Supplementary Fig. 6A). We used the mouse model of OIR, which is often used in the study of ischemic retinal angiogenesis, and found that Egfl8 mRNA expression was decreased in the OIR model (Supplementary Fig. 6B). Mice were intravitreally injected with 1 × 1012 vg/mouse AAV2-Ppt2, AAV2-Egfl8, or AAV2-null vectors and used to develop the OIR model (Fig. 3J). H-E staining indicated increased formation of pathological vessels in the retinas of the mice with OIR and fewer pathological neovascular tufts in the retinas of the AAV2-Egfl8–treated mice (Fig. 3K and L). There was no significant difference in the AAV2-Ppt2–treated retinas (Fig. 3K and L). Hyperoxia results in central vascular obliteration or degradation, and the subsequent relative hypoxia of room air leads to retinal NV in the OIR model. We therefore evaluated the potential role of PPT2-EGFL8 in OIR-induced retinal NV in the Evans blue-labeled retinal vessels of mice. The area of retinal NV tufts in the AAV2-Egfl8–treated mice was significantly attenuated compared with that of the AAV2-null–treated OIR mice (Fig. 3M and N). There was no significant difference in the AAV2-Ppt2–treated mice (Fig. 3M and N).

PPT2-EGFL8 Influences Retinal NV in Diabetic Mouse Retinas

We further evaluated the effect of Egfl8 transcripts on microvascular dysfunction in the STZ-induced diabetic mice. The mRNA expression of Egfl8 was decreased in the retina of the STZ model (Supplementary Fig. 6C). The mice were intravitreally injected with 1 × 1012 vg/mouse AAV2-Egfl8 or AAV2-null vectors, and retinal blood vessel density in horizontal and vertical direction was subsequently evaluated (Supplementary Fig. 7A and B). The retinal vessel density was altered in superficial vascular plexuses in the diabetic animal models, and the effect of Egfl8 was particularly striking in the superficial retinal layer of the peripheral-area retina (Supplementary Fig. 7C and D). Importantly, apart from the decreased inhibition of diabetes-induced retinal blood vessels, retinal OCT images also showed that Egfl8-OE with AAV2 transduction markedly reversed STZ-induced microvascular dysfunction, as reflected by fluorescein leakage and the number of hyperreflective dots in the superficial portion of peripheral retinas (Fig. 4A and B; arrow). STZ-induced microvascular leakage was also inhibited in the AAV2-Egfl8–treated mice (Fig. 4C–E). Moreover, diabetes-associated pericyte loss and capillary degeneration, as indicated by a decrease in the number of pericytes and an increase in the number of acellular vessels, were significantly attenuated by the overexpression of retinal Egfl8 in the animals challenged with STZ (Fig. 4F–H).

Figure 4

PPT2-EGFL8 mediates microvascular dysfunction in STZ-induced diabetic mouse retinas. A: Note the morphological changes in the color fundus images, fundus fluorescein angiography (FFA), and OCT images at 5 months after diabetes was successfully established in the mouse model. Con, vehicle-treated mice. B: The number of hyperreflective structures (arrows) and hyporeflective spaces (triangles) in the OCT images was determined (n = 6). CE: Red fluorescent dots in the flat-mounted retina indicated retinal vascular leakage. C: The fluorescence signal was detected using an Olympus BX-51 light microscope with a 4× objective. Scale bar, 100 μm. The area (D) and quantity (E) of Evans Blue leakage was determined (n = 6). FH: Retinal trypsin digestion was used to detect changes in the pericytes and the acellular capillaries. Scale bar, 25 μm. F: Representative images are shown. Scale bar, 25 μm. Red arrows indicate acellular capillaries; green arrows indicate pericytes. Pericytes (G) and acellular capillaries (H) were quantified in 30 random fields per retina and averaged (n = 6). I: Representative images of retinal sections showing adherent leukocytes labeled with FITC-concanavalin A within the retinal vessels of diabetic mice. Scale bar, 50 μm. J: Quantification of adherent leukocytes in retinal sections. K: Representative images of GFAP (upper panel) and IBA1 (lower panel) in retinal flat mounts in mice. L: The expression of GFAP in the retinal sections of each group. GCL, ganglion cell layer; IPL, inner plexiform layer; ONL, outer nuclear layer; OPL, outer plexiform layer. The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated.

Figure 4

PPT2-EGFL8 mediates microvascular dysfunction in STZ-induced diabetic mouse retinas. A: Note the morphological changes in the color fundus images, fundus fluorescein angiography (FFA), and OCT images at 5 months after diabetes was successfully established in the mouse model. Con, vehicle-treated mice. B: The number of hyperreflective structures (arrows) and hyporeflective spaces (triangles) in the OCT images was determined (n = 6). CE: Red fluorescent dots in the flat-mounted retina indicated retinal vascular leakage. C: The fluorescence signal was detected using an Olympus BX-51 light microscope with a 4× objective. Scale bar, 100 μm. The area (D) and quantity (E) of Evans Blue leakage was determined (n = 6). FH: Retinal trypsin digestion was used to detect changes in the pericytes and the acellular capillaries. Scale bar, 25 μm. F: Representative images are shown. Scale bar, 25 μm. Red arrows indicate acellular capillaries; green arrows indicate pericytes. Pericytes (G) and acellular capillaries (H) were quantified in 30 random fields per retina and averaged (n = 6). I: Representative images of retinal sections showing adherent leukocytes labeled with FITC-concanavalin A within the retinal vessels of diabetic mice. Scale bar, 50 μm. J: Quantification of adherent leukocytes in retinal sections. K: Representative images of GFAP (upper panel) and IBA1 (lower panel) in retinal flat mounts in mice. L: The expression of GFAP in the retinal sections of each group. GCL, ganglion cell layer; IPL, inner plexiform layer; ONL, outer nuclear layer; OPL, outer plexiform layer. The results are presented as the mean ± SEM. *P < 0.05 and **P < 0.01 for each pair of groups indicated.

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As a major characteristic of the chronic subclinical inflammatory response in DR, leukocytosis contributes to retinal capillary dropout, capillary closure, nonperfusion, and local ischemia (14,15). Five months after diabetes was successfully established, adherent leukocytes labeled in situ with FITC-linked concanavalin A in retinal flat mounts were counted in the blood vessels. Increased adherent leukocytes were observed in the AAV2-null–treated diabetic retinal capillaries compared with the controls (Fig. 4I and J). Moreover, there was a significant decrease in the number of adherent leukocytes in the AAV2-Egfl8–treated diabetic mice compared with the AAV2-null–treated diabetic mice (Fig. 4I and J). Retinal Müller cell gliosis and microglial cell activation are frequently increased in DR (16). There was a significant increase in the expression of GFAP, a key marker of retinal Müller cells, and ionized calcium-binding adaptor molecule (Iba1) in the AAV2-vehicle– or AAV2-null–treated diabetic mice, and this effect was diminished in the mice pretreated with AAV2-Egfl8 (Fig. 4K and L).

PPT2-EGFL8 Functions as a ceRNA for miR-423-5p to Mediate PPARD Expression

Based on bioinformatics studies, lncRNA PPT2-EGFL8 functions as a ceRNA for miR-423-5p, miR-6827-5p, and miR-6829-5p, subsequently targeting PPARD to form a ceRNA network (Fig. 5A). To confirm the pivotal role of miRNAs in this effect, we performed an RNA immunoprecipitation assay on Ago2, which is the critical component of the RNA-induced silencing complex. In parallel, downregulation of PPT2-EGFL8 expression in hRMECs significantly led to an increase in the recruitment of Ago2 to PPARD transcripts compared with control cells (Fig. 5B). Overexpression of PPT2-EGFL8 in hRMECs promoted the increased enrichment of Ago2 on PPT2-EGFL8 but subsequently decreased enrichment on PPARD transcripts (Fig. 5C).

Figure 5

lncPPT2-EGFL8 functions as a ceRNA for miR-423-5p to regulate PPARD expression. A: The ceRNA network based on bioinformatics studies. RNA immunoprecipitation (RIP) assay of the enrichment of Ago2 on lncPPT2-EGFL8 and PPARD transcripts relative to IgG in the hRMECs transfected with control or PPT2-EGFL8 siRNA (B) and in the hRMECs transfected with pcDNA3.1-ctrl or pcDNA3.1-PPT2-EGFL8 (C) (n = 3). DF: Luciferase activity of psiCHECK2-PPT2-EGFL8 (LNC-WT) and psiCHECK2-PPT2-EGFL8-mut (LNC-MUT) upon transfection of the indicated miRNA mimics in HEK293T cells (n = 3). Data are presented as the ratio of Renilla luciferase activity to firefly luciferase activity. G and H: Relative mRNA expression of miRNAs in hRMECs in each group as determined by qPCR (n = 4). I: Absolute qPCR analysis of the copy numbers of lncPPT2-EGFL8 and miR-423-5p. J and K: HEK293T cells were cotransfected with miR-423-5p mimics or NC and Luc-WT-PPARD-3′ UTR (PPARD-WT) or Luc-mutant-PPARD-3′ UTR (PPARD-MUT) vectors. After 24 h, the relative luciferase activity was measured and normalized based on firefly luciferase activity and Renilla luciferase activity (n = 4). The results are presented as the mean ± SEM. *P < 0.05, **P < 0.01, and #P < 0.05 for each pair of groups indicated.

Figure 5

lncPPT2-EGFL8 functions as a ceRNA for miR-423-5p to regulate PPARD expression. A: The ceRNA network based on bioinformatics studies. RNA immunoprecipitation (RIP) assay of the enrichment of Ago2 on lncPPT2-EGFL8 and PPARD transcripts relative to IgG in the hRMECs transfected with control or PPT2-EGFL8 siRNA (B) and in the hRMECs transfected with pcDNA3.1-ctrl or pcDNA3.1-PPT2-EGFL8 (C) (n = 3). DF: Luciferase activity of psiCHECK2-PPT2-EGFL8 (LNC-WT) and psiCHECK2-PPT2-EGFL8-mut (LNC-MUT) upon transfection of the indicated miRNA mimics in HEK293T cells (n = 3). Data are presented as the ratio of Renilla luciferase activity to firefly luciferase activity. G and H: Relative mRNA expression of miRNAs in hRMECs in each group as determined by qPCR (n = 4). I: Absolute qPCR analysis of the copy numbers of lncPPT2-EGFL8 and miR-423-5p. J and K: HEK293T cells were cotransfected with miR-423-5p mimics or NC and Luc-WT-PPARD-3′ UTR (PPARD-WT) or Luc-mutant-PPARD-3′ UTR (PPARD-MUT) vectors. After 24 h, the relative luciferase activity was measured and normalized based on firefly luciferase activity and Renilla luciferase activity (n = 4). The results are presented as the mean ± SEM. *P < 0.05, **P < 0.01, and #P < 0.05 for each pair of groups indicated.

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Subsequent bioinformatic analysis by TargetScan, miRDB, and miRWalk revealed five putative miRNA response elements (MREs) of miR-423-5p, miR-6827-5p, and miR-6829-5p shared by lncPPT2-EGFL8 and the 3′ untranslated region (UTR) of PPARD (Fig. 5D–F; upper panel). Transfection of miR-423-5p mimics in HEK293T cells significantly inhibited the luciferase activity of psiCHECK2-PPT2-EGFL8 (LNC-wild-type [WT]), which contained PPT2-EGFL8 at the 3′ UTR of Rluc, while the psiCHECK2-PPT2-EGFL8 mutant (miR-423-5p, LNC-MUT) showed no response to miR-423-5p mimics (Fig. 5D–F; lower panel). Moreover, hypoxia (1% O2) significantly induced the expression of miR-423-5p, which was potently inhibited by PPT2-EGFL8-OE and further increased by pretreatment with si-PPT2-EGFL8 (Fig. 5G and H). However, PPT2-EGFL8 had no significant influence on miR-6827-5p and miR-6829-5p expression (Fig. 5G and H). The expression of miR-423-5p detected by next-generation sequencing was markedly increased in the serum of patients with PDR (Supplementary Fig. 8). Moreover, comparable copy numbers of lncPPT2-EGFL8 and miR-423-5p were detected per hypoxic cell (Fig. 5I). Luciferase reporter gene assays were performed. Luc-WT-PPARD-3′ UTR (PPARD-WT) cotransfected with miR-423-5p mimics in HEK293T cells resulted in a significant decrease in luciferase activity and had a minimal effect on the Luc-mutant-PPARD-3′ UTR (PPARD-MUT) group (Fig. 5J and K). Therefore, PPARD was shown to be a target of miR-423-5p.

PPT2-EGFL8 Mediates Hypoxia-Induced PPARD/ANGPTL4 Signaling Activation

Hypoxia (1% O2) induced a significant decrease in the PPARD mRNA level and an increase in the ANGPTL4 and VEGFA mRNA levels (Fig. 6A and B). Overexpression of PPT2-EGFL8 significantly attenuated hypoxia-induced changes in the mRNA levels of PPARD and ANGPTL4 (Fig. 6C). Moreover, hypoxia resulted in a significant decrease in the protein expression of PPARD and an increase in the expression of cANGPTL4; the effect was diminished in the cells pretreated with PPT2-EGFL8-OE (Fig. 6D–G). There was no significant difference in hypoxia-induced increased VEGF expression after PPT2-EGFL8-OE (Fig. 6C, H, and I). In addition, hypoxia-induced decreases in PPARD expression and increases in cANGPTL4 expression were further aggravated in the si-PPT2-EGFL8–transfected cells (Fig. 6J–N). There was no significant difference in hypoxia-induced increased VEGF expression after si-PPT2-EGFL8 transfection (Fig. 6J, O, and P).

Figure 6

PPT2-EGFL8 regulates hypoxia-induced PPARD/ANGPTL4 signaling activation. AC: Relative mRNA expression of PPARD, ANGPTL4, and VEGFA in the hRMECs in each group as determined by qPCR (n = 4). DI: The levels of PPARD, ANGPTL4, and VEGFA in hRMECs were detected by Western blotting. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). J: Relative mRNA expression of PPARD, ANGPTL4, and VEGFA in hRMECs in each group as determined by qPCR (n = 4). KP: The levels of PPARD, ANGPTL4, and VEGFA in hRMECs were detected by Western blotting. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). QS: hRMECs were transfected with siRNA targeting PPARD (si-PPARD) or a nontargeting siRNA control (siNC) for 48 h. The efficiency of siRNA expression vectors was determined by Western blot (Q and R) and qPCR (S) (n = 3). T: Relative mRNA expression of ANGPTL4 in the hypoxia-induced hRMECs transfected with PPARD siRNA as determined by qPCR (n = 4). UX: The level of ANGPTL4 was detected by Western blotting in hRMECs; GW501516: PPARD agonists, DG172: PPARD antagonists. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). Y and Z: Proliferation of hRMECs in tubule formation assays was determined in each group (n = 3). The results are presented as the mean ± SEM.. *P < 0.05 and **P < 0.01, #P < 0.05 and ##P < 0.05 for each pair of groups indicated.

Figure 6

PPT2-EGFL8 regulates hypoxia-induced PPARD/ANGPTL4 signaling activation. AC: Relative mRNA expression of PPARD, ANGPTL4, and VEGFA in the hRMECs in each group as determined by qPCR (n = 4). DI: The levels of PPARD, ANGPTL4, and VEGFA in hRMECs were detected by Western blotting. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). J: Relative mRNA expression of PPARD, ANGPTL4, and VEGFA in hRMECs in each group as determined by qPCR (n = 4). KP: The levels of PPARD, ANGPTL4, and VEGFA in hRMECs were detected by Western blotting. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). QS: hRMECs were transfected with siRNA targeting PPARD (si-PPARD) or a nontargeting siRNA control (siNC) for 48 h. The efficiency of siRNA expression vectors was determined by Western blot (Q and R) and qPCR (S) (n = 3). T: Relative mRNA expression of ANGPTL4 in the hypoxia-induced hRMECs transfected with PPARD siRNA as determined by qPCR (n = 4). UX: The level of ANGPTL4 was detected by Western blotting in hRMECs; GW501516: PPARD agonists, DG172: PPARD antagonists. β-Actin was used as the internal reference. Quantification of the Western blot band intensity is shown in the bottom panels (n = 3). Y and Z: Proliferation of hRMECs in tubule formation assays was determined in each group (n = 3). The results are presented as the mean ± SEM.. *P < 0.05 and **P < 0.01, #P < 0.05 and ##P < 0.05 for each pair of groups indicated.

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PPARD Mediates ANGPTL4 Expression in hRMECs

HRMCEs were transfected with siRNA targeting PPARD (si-PPARD) or a nontargeting siRNA control (siNC) for 48 h. The siRNA expression vectors efficiently reduced the mRNA and protein level of PPARD in hRMECs (Fig. 6Q–S). Accordingly, the hypoxia-induced upregulation of ANGPTL4 expression further increased in the siRNA-transfected cells (Fig. 6T–V). Moreover, the activating PPARD agonist GW501516 enhanced the hypoxia-induced expression of cANGPTL4, and the inverse PPARD agonist DG172 strongly inhibited the hypoxia-induced expression of cANGPTL4 (Fig. 6W and X). Hypoxia-induced increases in hRMEC tubule formation were significantly inhibited by DG172 pretreatment; this effect was abolished by ANGPTL4 administration (Fig. 6Y and Z).

ANGPTL4 Facilitates Retinal Vessel Sprouting Into the Retina

To further evaluate the effect of ANGPTL4 on blood vessels during sprouting angiogenesis, we injected mice with ANGPTL4 or saline solution in the vitreous humor at P3. Serial whole eye sections taken from P7 mice were analyzed. The number of hyaloid vessels residing in the vitreous increased in the ANGPTL4- and/or VEGFA-treated mice at P7. Moreover, ANGPTL4 induced retinal vessel breakage in the inner limiting membrane (ILM) and extension into the vitreous in the superficial portion of the inner retina, and VEGF mainly induced retinal edema (Fig. 7A). In the mouse model of OIR, H-E staining consistently indicated outpouching of ILM or retinal NV tufts growing into the core vitreous in the inner retinas of the ANGPTL4-treated mice, and VEGFA treatment increased the number of superficial retinal vessels (Fig. 7B and C). Meanwhile, ANGPTL4 was upregulated in the serum of individuals with PDR versus healthy individuals (Fig. 7D).

Figure 7

ANGPTL4 facilitates retinal vessel sprouting into the retina. A: Mice were injected with ANGPTL4 or saline solution in the vitreous humor at P3. Serial whole-eye sections were taken from P7 mice, and H-E staining was analyzed. Scale bar, 50 μm. B: Representative images of the immunofluorescence staining of laminin, a marker of ILM in the retinal sections of each group of mice. Scale bar, 25 μm. C: H-E staining of the mice with OIR was analyzed. Scale bar, 50 μm. D: ANGPTL4 was detected in the serum of the healthy individuals or the patients with DM-NDR, NPDR, or PDR by ELISA (n = 8–11). E: Schematic diagram depicting the underlying mechanism of the effects of PPT2-EGFL8 in retinal angiogenesis. PPT2-EGFL8 functions as a molecular sponge by absorbing miR-423-5p, which subsequently controls the activation of PPARD/ANGPTL4 signaling. Panel E was created using Figdraw (www.figdraw.com).

Figure 7

ANGPTL4 facilitates retinal vessel sprouting into the retina. A: Mice were injected with ANGPTL4 or saline solution in the vitreous humor at P3. Serial whole-eye sections were taken from P7 mice, and H-E staining was analyzed. Scale bar, 50 μm. B: Representative images of the immunofluorescence staining of laminin, a marker of ILM in the retinal sections of each group of mice. Scale bar, 25 μm. C: H-E staining of the mice with OIR was analyzed. Scale bar, 50 μm. D: ANGPTL4 was detected in the serum of the healthy individuals or the patients with DM-NDR, NPDR, or PDR by ELISA (n = 8–11). E: Schematic diagram depicting the underlying mechanism of the effects of PPT2-EGFL8 in retinal angiogenesis. PPT2-EGFL8 functions as a molecular sponge by absorbing miR-423-5p, which subsequently controls the activation of PPARD/ANGPTL4 signaling. Panel E was created using Figdraw (www.figdraw.com).

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In the current study, we demonstrated that lncRNA PPT2-EGFL8 played an important role in hRMEC proliferation and retinal NV. We demonstrated the underlying mechanism of the effects of PPT2-EGFL8 in retinal angiogenesis by absorbing miR-423-5p as a molecular sponge, which subsequently controls the activation of PPARD/ANGPTL4 signaling (Fig. 7E).

Retinopathy of prematurity (ROP) and PDR are both regarded as retinal angiogenic disorders (17). ROP is characterized by an initial factor of relative ischemia, followed by abnormal NV that may culminate in the rapid outgrowth of pathological blood vessels from the retina to the vitreous humor and lens that may lead to retinal hemorrhage, detachment, and blindness (18). Both phases of ROP are reproduced by the mouse OIR model, which can be used to test therapeutic substances or other treatments (19). In our study, we observed that overexpression of Egfl8 could attenuate the deleterious effects of OIR-induced retinal angiogenesis driven by retinal hypoxia at P17, whereas the effects were aggravated in the animal group that received Egfl8.

Moreover, the STZ-induced diabetes model is one of the most commonly used models in diabetes research. STZ-induced diabetic mice display phenotypical and histopathological features consistent with those of PDR (19). In the STZ-induced diabetic mice, vascular leakage, increased acellular vessels, pericyte loss, and reduced visual function were found as early as 2–3 months after the STZ injection (20). The preproliferative stage of DR was detected in diabetic mice at 5–6 months and exhibited capillary dilation, varicose loop formation, and endothelial cell proliferation (21,22). This preproliferative stage of DR in STZ-induced diabetic animals corresponds to the intraretinal microvascular abnormality observed in human DR (23,24). In our study, the number of hyperreflective dots, the outpouching of the ILM, and the breach of the ILM in the superficial portion of the inner retina in OCT images were significantly increased in 5-month-old diabetic mice compared with control mice. Overexpression of Egfl8 inhibited the deleterious effects in the STZ-induced diabetic mice. Likewise, we observed that AAV2-Egfl8 treatment attenuated the occurrence of retinal NV and the chronic subclinical inflammatory response in DR.

Although several lncRNAs have been shown to increase in DR and have roles in microvascular dysfunction, little is known about the lncRNAs with downregulated expression during DR. In this study, we identified an RMEC-enriched lncRNA (named lnc-PPT2-EGFL8) that attenuated hRMEC proliferation and retinal NV in vitro and in vivo. Meanwhile, miR-423-5p expression increased significantly in the serum of individuals with DR compared with healthy individuals and was involved in the development of DR. On this basis, this study further provides comprehensive functional and mechanistic characterization of PPT2-EGFL8, functioning as a ceRNA. PPT2-EGFL8 blocks miR-423-5p to control PPARD protein levels in vitro and in vivo.

PPARs were previously shown to regulate differentiation and proliferation in different model systems (25). These systems include Ppard-deficient mice, which show an increased arteriovenous crossover and wider venous caliber in the retina. These findings demonstrate a fundamental role for PPARD in pathological angiogenesis and blood vessel remodeling in the retina (26). In addition, there is strong evidence that ANGPTL4 is directly regulated by ligand activation of PPARD based on the following analysis: 1) functional PPREs exist in the proximal end of ANGPTL4 gene, and 2) the promoter occupancy of PPARD on ANGPTL4 gene increased after ligand activation. In the absence of an exogenous ligand and the destruction of PPARD, the expression of ANGPTL4 increased. However, PPARD ligand activation leads to increased expression (27). Moreover, PPARD mediates transcriptional repression of ANGPTL4 in cancer cell invasion (2830). Consistent with previous studies, we found that the downregulation of PPARD expression by siRNAs induced a significant increase in ANGPTL4 levels in hRMECs. Moreover, we made use of a recently developed PPARD agonist (GW501516) and subtype-specific PPARD inhibitor (DG172) (Fig. 7E and F), which regulate the expression of ANGPTL4 by transcriptional repression.

In the prevention or treatment of PDR, anti-VEGF therapy has attracted increased attention. A potent inhibition of PDR progression in some—but not all—patients receiving anti-VEGF therapy was observed, suggesting that other angiogenic factors may participate in PDR development (31). ANGPTL4, an ischemia-driven mediator, has been implicated in promoting retinal NV and vascular permeability in patients with diabetes (32,33). In some patients, the ANGPTL4 level remains elevated despite anti-VEGF therapy. However, ANGPTL4 inhibition significantly reduced the angiogenic effect in hypoxic retinal cells, which was additive with simultaneous VEGF inhibition (32). In our study, although both ANGPTL4 and VEGFA increased the number of hyaloid vessels residing in the vitreous, ANGPTL4 could induce retinal vessel breakage in the ILM and extension into the vitreous in the superficial portion of the inner retina at P7 in mice. Moreover, ANGPTL4 significantly induced the outpouching of ILM or retinal NV tufts growing into the core vitreous in the inner retinas, while VEGFA treatment mainly increased the number of superficial retinal vessels. These data suggest that ANGPTL4 plays a critical role in retinal NV.

In summary, the current study provides strong evidence that PPT2-EGFL8 promotes retinal angiogenesis by absorbing miR-423-5p as a molecular sponge, which subsequently controls the activation of PPARD/ANGPTL4 signaling. These results indicate that therapies targeting lncPPT2-EGFL8 may be an effective approach for the treatment of patients with PDR and that PPT2-EGFL8 could be used as a biomarker in patients receiving anti-VEGF therapy to help guide individualized therapy.

This article contains supplementary material online at https://doi.org/10.2337/figshare.22659304.

Funding. This study was supported by the Wuxi Taihu Lake Talent Plan, Supports for Leading Talents in Medical and Health Profession (grant nos.: 2020-THRCTD-1 and THRC-DJ-1), Top Talent Support Program for Young and Middle-Aged People of Wuxi Health Committee (grant nos. HB2020004 and HB2020022), the National Natural Science Foundation of China (grant no. 81800845), Medial Key Discipline Program of Wuxi Health Commission (ZDXK2021001) and Wuxi Translational Medicine Research Project (ZH201902).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. Z.X., J.Y., H.Z., T.X., and Q.Y. performed in vitro and in vivo experiments and collected and analyzed the data. J.C., C.S., Y.Cao., M.W., Y.L., and Y.Cui. designed the experiments and revised the article critically for important intellectual content. Y.Y. and X.W. conceived and designed the study. All authors gave final approval of the version to be published. X.W. is the guarantor of this work and, as such, had full access to all the data in this study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

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