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ORIGINAL RESEARCH article

Front. Pharmacol., 15 March 2021
Sec. Inflammation Pharmacology
This article is part of the Research Topic Chronic Inflammation and Neurodegeneration in Retinal Disease View all 12 articles

Changes in Retinal Structure and Ultrastructure in the Aged Mice Correlate With Differences in the Expression of Selected Retinal miRNAs

Updated
Anca Hermenean,
Anca Hermenean1,2*Maria Consiglia TrottaMaria Consiglia Trotta3Sami Gharbia,Sami Gharbia1,2Andrei Gelu HermeneanAndrei Gelu Hermenean4Victor Eduard PeteuVictor Eduard Peteu5Cornel BaltaCornel Balta1Coralia Cotoraci
Coralia Cotoraci6*Carlo GesualdoCarlo Gesualdo7Settimio RossiSettimio Rossi7Mihaela Gherghiceanu,Mihaela Gherghiceanu4,5Michele D&#x;AmicoMichele D’Amico3
  • 1“Aurel Ardelean” Institute of Life Sciences, Vasile Goldis Western University of Arad, Arad, Romania
  • 2Department of Biochemistry and Molecular Biology, University of Bucharest, Bucharest, Romania
  • 3Section of Pharmacology, Department of Experimental Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
  • 4Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
  • 5Victor Babes National Institute of Pathology, Bucharest, Romania
  • 6Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania
  • 7Eye Clinic, Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy

Age and gender are two important factors that may influence the function and structure of the retina and its susceptibility to retinal diseases. The aim of this study was to delineate the influence that biological sex and age exert on the retinal structural and ultrastructural changes in mice and to identify the age-related miRNA dysregulation profiles in the retina by gender. Experiments were undertaken on male and female Balb/c aged 24 months (approximately 75–85 years in humans) compared to the control (3 months). The retinas were analyzed by histology, transmission electron microscopy, and age-related miRNA expression profile analysis. Retinas of both sexes showed a steady decline in retinal thickness as follows: photoreceptor (PS) and outer layers (p < 0.01 for the aged male vs. control; p < 0.05 for the aged female vs. control); the inner retinal layers were significantly affected by the aging process in the males (p < 0.01) but not in the aged females. Electron microscopy revealed more abnormalities which involve the retinal pigment epithelium (RPE) and Bruch’s membrane, outer and inner layers, vascular changes, deposits of amorphous materials, and accumulation of lipids or lipofuscins. Age-related miRNAs, miR-27a-3p (p < 0.01), miR-27b-3p (p < 0.05), and miR-20a-5p (p < 0.05) were significantly up-regulated in aged male mice compared to the controls, whereas miR-20b-5p was significantly down-regulated in aged male (p < 0.05) and female mice (p < 0.05) compared to the respective controls. miR-27a-3p (5.00 fold; p < 0.01) and miR-27b (7.58 fold; p < 0.01) were significantly up-regulated in aged male mice vs. aged female mice, whereas miR-20b-5p (−2.10 fold; p < 0.05) was significantly down-regulated in aged male mice vs. aged female mice. Interestingly, miR-27a-3p, miR-27b-3p, miR-20a-5p, and miR-20b-5p expressions significantly correlated with the thickness of the retinal PS layer (p < 0.01), retinal outer layers (p < 0.01), and Bruch’s membrane (p < 0.01). Our results showed that biological sex can influence the structure and function of the retina upon aging, suggesting that this difference may be underlined by the dysregulation of age-related mi-RNAs.

Introduction

The structural and functional physiological evolution of the retina with age can be influenced by biological sex and susceptibility to retinal diseases (Wagner et al., 2008; Freund et al., 2011). There are anatomical sex differences, visual performances, and divergent molecular profiles (Du et al., 2017) by gender upon aging, which may contribute to different susceptibilities to disease and trace different evolutions for retinal pathologies (Wagner et al., 2008; Ozawa et al., 2015; Schmidl et al., 2015). Numerous eye anatomical changes occur with age, including cell loss (e.g., corneal and trabecular endothelium and retinal pigment epithelium [RPE]) and degenerative processes (e.g., vitreous liquefaction and drusen) (Grossniklaus et al., 2013), that may be influenced by gender differences. Clinical results have reported that women have thinner retinas than men, without any differences in the foveal pit morphology (Wagner-Schuman et al., 2011), whereas the amplitudes of scotopic and photopic electroretinograms (ERGs) of female subjects have been reported to be on average 29% larger than those of males (Brûlé et al., 2007). Morphological studies have shown gender-related structural differences in thickness of the macular retinal layers by spectral-domain optical coherence tomography (SD-OCT) (Adhi et al., 2012; Hashamani et al., 2018). Additionally, the outer nuclear layers and the inner nuclear layer (INL) have been determined to be thicker in men, whereas the nerve fiber layer (NFL) is thicker in women (Ooto et al., 2011).

The anatomical and physiological differences of the retina related to gender are reflected in the associated pathologies (Zetterberg, 2016; Nuzzi et al., 2018). Aging is the first risk factor that leads to glaucoma or age-related macular degeneration (AMD). Some studies have shown a higher incidence and severity of late-stage AMD in women (AREDS Research Group, 2000; Chakravarthy et al., 2010), whereas others have not pointed to a gender difference (Buch et al., 2005; Laitinen et al., 2010). One of the main risk factors for developing AMD is related to macular pigment deficiency, which is more pronounced in women (Beatty et al., 2000; Meyers et al., 2013). Cataracts are more prevalent among women aged 65 and 74 years (24–27%) than men of the same age (14–20%) (Klein et al., 1994; Freeman et al., 2001; Younan et al., 2002). Estrogen exerts a protective effect for women due to its antioxidant properties (Beebe et al., 2010); however, after menopause, the age-related hormonal decline increases the risk of cataracts with age (Lai et al., 2013; van den Beld et al., 2018). In contrast, estrogen levels converted from aromatase to testosterone in men do not appear to be related to age, providing greater protection against cataracts (Zettemberg and Celojevic, 2015). Other results suggested that females may have some protection or resistance to neurodegenerative changes prior to retinopathy in type 2 diabetes (Ozawa et al., 2012). One prediction is that females with type 2 diabetes have better vascular perfusion than man due to estrogen because of the increased production of nitric oxide and nitric oxide synthase (NOS) genes (Mendelsohn and Karas, 2005), attenuating retinal ischemia–reperfusion (Nonaka et al., 2000). However, in an Early Treatment Diabetic Retinopathy Study (ETDRS), the female sex was reported to be a risk factor for severe visual impairment or the need to perform a vitrectomy (Trautner et al., 1997; Davis et al., 1998). Upon aging, gender-related retinal changes may be governed by sexual hormones, such as estrogen. Electroretinogram (ERG) and histology investigations on age-related retinal changes have shown the role of biological sex and age in retinal function (Chaychi et al., 2015).

MicroRNAs (miRNAs), a class of short noncoding RNAs, have been identified that are up- or down-regulated during mammalian aging (Smith-Vikos and Slack, 2012), but no study has particularly referred to retinal aging. A few studies on microRNAs have reported on age-related macular degeneration (AMD), which is the most frequent pathology associated with aging. Recently, four studies analyzed the circulating miRNA expression profiles of AMD patients (Ertekin et al., 2014; Grassmann et al., 2014; Szemraj et al., 2015; Menard et al., 2016), but the results did not completely overlap possibly because of the different inclusion criteria or different applied therapeutic protocols. Recent findings showed miRNA dysregulation in AMD of ocular tissues, which demonstrated some similarities with human AMD findings, including miR-146a, miR-17, miR-125b, and miR-155 (Berber et al., 2017).

Limited results are available regarding the ultrastructural retinal changes upon human aging and in age-related retinal diseases (Nag and Wadhwa, 2012) or in preclinical studies, as in a senescence-accelerated mouse model (Majji et al., 2000), and no results highlighting electron microscopy differences by gender were found. To date, no one has investigated whether the dysregulation of sex-differentiated miRNAs could be correlated with retinal changes during aging. The aim of this study was to delineate the influence that biological sex and age have on the retinal structural and ultrastructural changes in mice and to identify the age-related miRNA dysregulation profiles in the retina by gender.

Materials and Methods

Animals and Experimental Design

All experimental procedures were conducted in compliance with the European and national regulations for the care and use of animals for scientific purposes. Ethics approval was obtained from the Ethics Committee for research of the Vasile Goldis Western University of Arad (approval no. 135, January 03, 2019).

Experiments were performed on male and female Balb/c that were 3 months (male/female control groups) and 24 months (male/female aged groups) of age, respectively (n = 10/each group/sex). The life span of laboratory mice ranges from 2 to 2.5 years; thus, 24 months approximate 75–85 years of age for a human (Dutta and Sengupta, 2016). While control females were under physiological and regular estrus cycle, 24-month-old females were under naturally occurring physiological decline for estrus without any manipulation, according to previous evidence showing a progressive decrease in estrogens in Balb-c females after 15 months of age (Nagasawa et al., 1978). Animals were housed in a 22 °C environment in IVC well-ventilated cages with ad libitum access to normal rat chow and water. Lighting (39 ± 7 lux) was regulated on a 12-h light/dark cycle. Particularly, although room light between 130 and 325 lux has been recommended for animals susceptible to phototoxic retinopathy by the National Research Council (US) Committee for the Update of the Guide for the Care and Use of Laboratory Animals (National Research Council, 2011), and a lower illuminance level (39 ± 7 lux) was used in order to minimize the negative effects of standard vivarium lighting on the aged retina (Bell et al., 2015). All the procedures were conducted under ketamine and xylazine anesthesia.

Each mouse was perfused via the left ventricle with 100 ml of 0.1 M ice-cold phosphate-buffered saline (PBS). To increase the efficiency of perfusion, heparin (5000 IU/ml, a final concentration of 0.1% v/v) was added to PBS (Bozycki et al., 2018). This served for the collection of one eye for biochemical assays. In the next step, animals’ perfusion was continued with an additional 100 ml of freshly prepared 4% paraformaldehyde (PFA) in PBS for the collection of the remaining eye and investigations as detailed below.

Histology/Light Microscopy

The eye specimens were fixed in 4% paraformaldehyde and were embedded in paraffin and sectioned at 5 μm, and the sections were stained with hematoxylin and eosin (H&E). The light microscopy images were acquired using an Olympus BX43 microscope, with an XC30 CCD and cellSens Dimension Imaging Software (v 1.10, Olympus, Germany).

Electron Microscopy

The eye samples were prefixed in 2.7% glutaraldehyde solution (Sigma-Aldrich, St Louis, Missouri) in 0.1 M phosphate buffer, then washed in 0.15 M phosphate buffer (pH 7.2), and postfixed in 2% osmic acid solution (Sigma-Aldrich, St Louis, Missouri) in 0.15 M phosphate buffer. Dehydration was performed in acetone, followed by embedding in the epoxy resin (Epon 812). Thin sections of 70 nm thickness were cut on a Leica EM UC7 ultramicrotome (Leica Microsystems GmbH, Wetzlar, Germany). The double staining of thin sections on grids was performed with solutions of uranyl acetate and lead citrate. The sections were imaged under a TEM (Morgagni268, FEI, Eindhoven, Netherlands) at 80 kV. Data acquisition was performed with a MegaView III CCD using iTEM SIS software (Olympus Soft Imaging Software, Munster, Germany).

Morphometry

For each mouse, the thickness of the retinal layers (i.e., retinal pigment epithelium [RPE], photoreceptor cells [PS], outer nuclear layer [ONL], outer plexiform layer [OPL], inner nuclear layer [INL], inner plexiform layer [IPL], and retinal ganglion cell layer [RGL]) were measured on ten different histological sections taken from the superior and inferior retinas (central and equatorial) every 300 µm from the optic nerve head (ONH) using CellSens Dimension Imaging Software (v 1.10, Olympus, Germany).

The morphometry on the electron microscopy images was performed for the equatorial retina. The thickness of Bruch’s membrane was measured at three different points on the images (n = 50 for each group) acquired at the same magnification (7,100×) using iTEM SIS software (Olympus Soft Imaging Software, Munster, Germany) and exported in Excel format for statistical analysis.

Isolation and Expression Analysis of Retinal microRNAs

After retina dissection following the method described by Rossi et al. (2016), total RNA, including microRNAs, was isolated from aged mouse retina (N = 10 per group) by using the MiRNeasy Mini Kit (Qiagen, Italy), according to the manufacturer’s instructions. An appropriate volume of QIAzol Lysis Reagent (Qiagen, Italy) was used for tissue homogenization, and the miRNA isolation efficiency was monitored by adding Syn-cel-miR-39 miScript miRNA Mimic 5 nM (Qiagen, Italy) to each sample before RNA purification. RNA quality and concentration were determined by a NanoDrop 2000c spectrophotometer (Thermo Scientific, Italy). Mature miRNAs were converted into cDNA by reverse transcription performed by using the MiScript II Reverse Transcription Kit (Qiagen, Italy) and a Gene Amp PCR System 9,700 (Applied Biosystems, United States). The levels of eight miRNAs (mmu-miR-20a-5p, mmu-miR-20a-3p, mmu-miR-20b-5p, mmu-miR-106a-5p, mmu-miR-27a-3p, mmu-miR-27b-3p, mmu-miR-206-3p, and mmu-miR-381-3p), which were previously shown to be time-dependently dysregulated in the diabetic retina (Platania et al., 2019), were analyzed by real-time PCR (qPCR) with a CFX96 Real-Time System C1000 Touch Thermal Cycler (BioRad Laboratories, Inc.). The qPCR triplicate measurement was carried out by using miScript primer assays (MS00001309, MS00001869, MS00001316, MS00011039, MS00001315, MS00001385, MS00001869, and MS00032802; Qiagen, Italy), SYBR Green PCR Master Mix (Qiagen, Italy), and Ce_miR-39-5p as an external control (MS00080247, Qiagen, Italy) for normalization of miRNA expression. CFX Manager™ Software (BioRad Laboratories, Inc.) was used to evaluate the cycle threshold (Ct) values to calculate the ΔCt for each miRNA as ΔCt = Ct miRNA–Ct Ce_miR-39-5p and then miRNA expression as 2^−ΔCt. For each miRNA profiled, the fold change expression across two experimental groups was calculated as 2^−ΔΔCt (equal to 2^−ΔCt of group 2/2^−ΔCt of group 1) and then expressed as the fold regulation. In particular, the fold up-regulation was equal to the fold change value, whereas the fold down-regulation was calculated as the negative inverse of the fold change value (Platania et al., 2019).

Statistical Analysis

Values are expressed as means ± SD of n = 5 mice per group for histological and electron microscopy evaluation, while miRNA results were expressed as means ± SD of n = 10 mice per group. Statistical significance was assessed by one-way ANOVA, followed by Tukey’s multiple comparisons test. Pearson correlation analysis was used to evaluate the strength of the association between pairs of variables. Statistical analysis was carried out with GraphPad Prism v.6 (GraphPad Software, La Jolla, CA, United States). Differences were considered statistically significant for p values <0.05.

Results

Age-Related Structural Differences in Both Male and Female Mice

The aging-induced changes in the entire retinal structure were analyzed. Representative retinal cross sections obtained from male and female mice are shown in Figure 1. As shown in Figures 1A–G, all the retinal layers reduced in thickness with age for both sexes. The photoreceptor outer and inner segment layer (PS), outer nuclear layer (ONL), and outer plexiform layer (OPL) thicknesses in the aged retinas were significantly thinner than those in the control (p < 0.01 aged male vs. control; p < 0.05 aged female vs. control). The thickness of the INL was reduced 1.27-fold for the males and 1.04 times for the females, whereas the IPL decreased 1.25-fold for males and 1.05-fold for females. The retinal pigment epithelium (RPE) and retinal ganglion cell layer (GGL) reduced approximately onefold in older mice compared to young ones and were similar for both sexes.

FIGURE 1
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FIGURE 1. Retinal layer thickness of the aged retinas by gender. (A). The retinal pigment epithelium (RPE) thickness was not significantly modified between aged retinas and controls; (B). photoreceptor outer and inner segment layers (PS) were significantly thinner in both aged males (***p < 0.001 vs. controls) and females (*p < 0.05 vs. controls) compared to their controls, as well as the outer nuclear layer (ONL) (C) (aged males ***p < 0.001 vs. controls; aged females *p < 0.05 vs. controls), and the outer plexiform layer (OPL) (D) (aged males ***p < 0.001 vs. controls; aged females **p < 0.01 vs. controls). The inner nuclear layer (INL) (E) and inner plexiform layer (IPL) (F) were both significantly thinner in aged males than the controls (both **p < 0.01 vs. controls), while they did not show any significant differences between aged and control female retina; the retinal ganglion cell layer (RGL) thickness (G) was not modified between aged retinas and controls; (h.) histological aspect of the retinal layers of the control male (A), control female (B), aged male (C), and aged female (D) showing the reduction in thickness with age for both gender; the legend of the retinal layers: 1. RPE, 2. PS, 3. ONL, 4. OPL, 5. INL, 6. IPL, 7. RGL; thickness (µm) of retinal layers was reported as mean ± SD of n = 10 histological observations for each individual/group. Statistical significance was assessed by using the one-way ANOVA, followed by Tukey’s multiple comparisons test.

Male and Female Ultrastructural Differences in the Aged Mouse Retina

The control retinal pigment epithelial cells appeared with a normal aspect, separated from the choroid by Bruch’s membrane (BM), showing cytoplasmic melanin granules, mitochondria, and a regular nucleus (Figures 2, 3). The basolateral infoldings of the plasma membrane, the apical villous-like processes, and sheath plaques of the photoreceptor outer segments had a normal aspect. With age, Bruch’s membrane showed significantly increased thickness in both of aged male/female retinas compared to the control (Table 1), and uploading with lipid drops was observed (Figures 2, 3). In particular, we observed localized areas of increased thickness in Bruch’s membrane and abnormal deposits of amorphous material in the sub-RPE space (side of Bruch’s membrane), which was similar to the basal laminar deposits of human AMD. In those areas, we noticed fingerlike extensions of the amorphous material that extended from the basal membrane toward the RPE cytoplasm. The basolateral infolding and apical sheaths were reduced or apparently disorganized in the retinal periphery, mainly for the aged male retina. The cells were loaded with lipids or lipofuscin granules and clustered mainly in the apical sheath area. The most damaged epithelial cells with lysis areas and intense macrophage activity, highlighted by accumulation of melanosomes and lipofuscin granules, were observed in both sexes but were more often evident in the aged male retina.

FIGURE 2
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FIGURE 2. Electron micrographs showing the ultrastructural features of the retinal pigment epithelium (RPE) of the aged male retina. (A,B) RPE of the male control, showing the normal aspect of the nucleus (N), mitochondria (m), melanin granules (M), Bruch’s membrane (BM), marked basal infolding (bi), and wide apical sheaths (as) surrounding the photoreceptor outer segments; (C–H) RPE of the aged male, showing changes in the RPE ultrastructure, highlighted by thickened Bruch’s membrane (BM) enriched in lipids (arrowhead) (C); lipid drops accumulated in the cytoplasm and crowded in the apical sheath area (arrowhead), lipofuscin (l) (D); localized thickening of Bruch’s membrane on the RPE side and fingerlike extensions of the amorphous material (arrows) (E); atrophic apical sheaths (as) (F); large lipid drops (arrowhead) and atrophied retinal pigment epithelial layer (RPE) (G); clusters of melanosomes and lipofuscin (arrowhead) (H). Figures are representative of n = 10 electron micrographs for each individual/group.

FIGURE 3
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FIGURE 3. Electron micrographs showing the ultrastructural features of the retinal pigment epithelium (RPE) of the aged female retina. (A)(B) RPE of the female control, showing the normal aspect of the nucleus (N), mitochondria (m), melanin granules (M), Bruch’s membrane (BM), marked basal infolding (bi), and wide apical sheaths surrounding the photoreceptor outer segments; (C)(F) RPE of the aged female, showing ultrastructural changes of the RPE cells highlighted by the thickened basal membrane (BM), lipid drops into the membrane (arrowhead) (C); lipofuscin granules (l), and lipids (arrowheads) clustered in the apical sheath area (as) (D); localized thickening of Bruch’s membrane on the RPE side and fingerlike extensions of the amorphous material (arrows) (E); lipids (arrowheads) clustered in the apical sheaths area (F). Figures are representative of n = 10 electron micrographs for each individual/group.

TABLE 1
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TABLE 1. Electron microscopy analysis of Bruch’s membrane thickness (nm) of the aged retina.

For both controls, the photoreceptor discs were intact and properly aligned and were perpendicular to the photoreceptor axis. In aging states, impairment of the photoreceptor outer segments was observed (Figure 4). The rod and cone outer segments were surrounded or intermittently surrounded by the apical sheaths of epithelial cells and were randomly oriented, truncated, or absent. Massive vesiculation and fragmentation of outer segment lamellae were observed in both aged retinas but mainly in male samples upon electron microscopy.

FIGURE 4
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FIGURE 4. Electron micrographs showing the ultrastructural features of the photoreceptor layer (PS) and outer nuclear layer (ONL) of the young and aged retinas. PS of control male (A) and female (B) mice; PS of aged male (C,D) and female (E,F) mice; ONL of control male (G) and female (H) mice; ONL of aged male (I) and female (J) mice; photoreceptor outer segments with aligned discs and normal structure (A,B); RPE, retinal pigment epithelial layer; ONL, outer nuclear layer; POS, photoreceptor outer segments; the POS are misoriented, damaged, and inconsistent and accompanied by apical sheaths (as) of the epithelial cells (c, d, and E) and condensed (F); photoreceptor outer (POS) and inner segment layer (PIS); normal aspect of the photoreceptor nuclei, aligned and densely packaged (G and H) with the normal aspect of the mitochondria (detail—arrowhead); photoreceptor nuclei with different sizes and chromatin density and empty spaces; swelling of mitochondria with a loss of cristae (detail—arrowhead) (I and J). Figures are representative of n = 10 electron micrographs for each individual/group.

Moreover, in old mice, we found photoreceptor nuclei of variable shapes, sizes, and chromatin densities, and some had pyknotic nuclei and empty spaces, indicating nuclear loss. Swelling of mitochondria was observed mainly in aged male photoreceptor cells (Figure 4) compared with similarly processed samples from females.

The inner nuclear layer (INL) of the controls had a normal aspect, was abundant in bipolar cells, and ensheathed by processes of Müller cells. Electron micrographs of both aged retinas showed an extensive network of cytoplasmic processes of Müller cell wrapping around other cells and penetrating the neighboring inner plexiform layer (IPL) (Figure 5). Additionally, we registered marked thickening of the endothelial basal membrane of the capillary and lipid accumulation. Microglial hypertrophy was observed in the extended damaged INL areas.

FIGURE 5
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FIGURE 5. Electron micrographs showing the ultrastructural features of the inner nuclear layer (INL) of the young and aged retinas. (A) control male; (B) control female; (C,F) aged male retina—hypertrophied Müller cells (M), condensed Müller cell nuclei (arrowhead), bipolar cells (B), and capillaries (C) with a thickened basement membrane and lipids (l); empty spaces (*); detail: lipid accumulation beside the capillary and into the basal membrane (arrowhead); damaged INL areas in the aged male retina with microglia (arrowhead) (G,H) aged female retina—hypertrophied Müller cells (M); condensed Müller cells nuclei (arrowhead), capillary with thickened basement membrane (C); bipolar cells (B); detail: lipid accumulation beside the capillaries and into the basal membrane (arrowhead). Figures are representative of n = 10 electron micrographs for each individual/group.

The inner plexiform layer of the controls clearly showed different types of processes (Figure 6). The presynaptic endings (PRE) were full of microvesicles and contained one or more large mitochondria (m). Postsynaptic endings (PO) also presented mitochondria (m) but very few or no microvesicles. Müller processes (MP) were clear and contained few filaments (arrows). The aged retinas contained atrophied synaptic endings. The main difference was in the presynaptic endings, which were almost deprived by microvesicles, and most of the mitochondria presented rarefied cristae. The Müller processes (MP) were spread into the INL with proliferate filaments (arrows). The synaptic ribbons in the presynaptic bag (PRE) decreased in number and were in a much smaller size than the control for both sexes.

FIGURE 6
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FIGURE 6. Electron micrographs showing the ultrastructural features of the inner plexiform layer (IPL) and ganglion layer (RGL) of the young and aged retinas. Ultrathin section through the inner plexiform layer (IPL) showing different types of processes in (A) the control male, (B) control female, (C) aged male retina, and (D) aged female retina; presynaptic endings (PRE); large mitochondria (m); postsynaptic endings (PO); Müller processes (MP) (arrowhead); detail 1: presynaptic endings (PRE) with rarefied mitochondrial cristae and a few microvesicles—aged males (C) and females (D); detail 2: synaptic ribbons (arrows) in a presynaptic bag (PRE)—aged males (C) and females (D); electron micrographs of a section through the ganglion cell layer in (E) the control male, (F) control female (G), aged male retina (H), and aged female retina; ganglion cell (GC), inner plexiform layer (IPL), apoptotic cell (arrowhead), and lipofuscin granules (l). Figures are representative of n = 10 electron micrographs for each individual/group.

The ganglion layer was also affected with age (Figure 6). The number of ganglion cells decreased, some had apoptotic aspects, and lipofuscin granules were accumulated. Müller cell processes, microglia, and astrocytes surrounded the blood vessels, which possessed a thickened basal membrane.

Aging-Induced Retinal miRNA Dysregulation in Aged Mouse Retina for Both Sexes

Four of the eight miRNAs analyzed (miR-20a-3p, miR-106a-5p, miR-381-3p, and miR-206-3p) were not dysregulated between the control and aged experimental groups (Figure 7A). Conversely, miR-27a-3p (fold regulation = 8.9; p < 0.01), miR-27b-3p (fold regulation = 8.1; p < 0.05), and miR-20a-5p (fold regulation = 4.9; p < 0.05) were significantly up-regulated in aged male mice compared to control male mice, whereas miR-20b-5p was significantly down-regulated (fold regulation = 3.9; p < 0.05) (Figure 7B). Moreover, miR-20b-5p was significantly down-regulated in aged female mice compared to control female mice (fold regulation = 2.5; p < 0.05) (Figure 7B). miR-27a-3p was significantly up-regulated in aged males (fold regulation = 5.00, p < 0.01) compared to that in aged females as well as miR-27b-3p (fold regulation = 7.58, p < 0.01) and miR-20a-5p (fold regulation = 4.11, p < 0.01), whereas miR-20b-5p was significantly down-regulated in aged males (fold regulation = −2,10, p < 0.05) compared to that in aged females (Figure 7B).

FIGURE 7
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FIGURE 7. Age-related miRNA expression levels in aged retina. (A) Not dysregulated and (B) dysregulated retina miRNA expression levels. Data are reported as 2^−ΔCt and shown as mean ± SD of n = 10 observations for each experimental group; each run was performed in triplicate. Statistical significance was assessed by using one-way ANOVA, followed by Tukey’s multiple comparisons test. *p < 0.05 and **p < 0.01.

Correlation between Aged miRNAs and Retinal Structure

The thickness of the PS, ONL, and OPL negatively correlated with miR-27a-3p, miR-27b-3p, and miR-20a-5p levels (p < 0.01), whereas miR-20b-5p expression was positively correlated with PS, ONL, and OPL thickness (p < 0.01) (Figures 8, 9). In contrast, miR-27a-3p, miR-27b-3p, and miR-20a-5p levels were positively correlated with Bruch’s membrane thickness (p < 0.01), whereas it showed a negative correlation with miR-20b-5p expression (p < 0.01) (Figure 9).

FIGURE 8
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FIGURE 8. Significant correlation between age-related miRNA expression levels and retinal structure. miR-27a-3p, miR-27b-3p, and miR-20a-5p levels showed a negative correlation with PS, ONL, and OPL thickness, and they showed a positive correlation with Bruch’s membrane thickness. miR-20b-5p was positively correlated with PS, ONL, and OPL thickness, and it was negatively correlated with Bruch’s membrane thickness. Pearson correlation analysis was used to evaluate the strength of association between pairs of variable, by including all the samples with different age and gender. Differences were considered statistically significant for p values <0.05. PS, retinal photoreceptors layer; ONL, retinal outer nuclear layer; OPL, retinal outer plexiform layer; BM, Bruch’s membrane.

FIGURE 9
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FIGURE 9. Age-related miRNA expression levels not correlated with retina structure. No significant correlations were observed between RPE, INL, IPL, and GCL thickness and the miR-20a-3p, miR-106a-5p, miR-381-3p, and miR-206-3p expression levels. Pearson correlation analysis was used to evaluate the strength of association between pairs of variables, by including all the samples with different age and gender. Differences were considered statistically significant for p values <0.05. RPE, retinal pigment cells; INL, retinal inner nuclear layer; IPL, retinal inner plexiform layer; GCL, retinal ganglion cell layer.

Discussion

Age and gender are two important factors that may influence the function and structure of the retina. Other results did not show a significant difference between the thickness of the retinal layers and age, by sex in groups of Sprague Dawley rats aged 1, 2, 6, and 10 months (Chaychi et al., 2015), which highlights that major structural changes appear only in the second year of life in rodents (approximately 50 years in humans). In our study, the photoreceptors appeared to be more affected with age. This was particularly evident in males. Our results and a study by DiLoreto et al. (1994) showed that the peripheral retinal thickness reduction documented in female CD mice and female F344 rats was delayed and less significant compared to that in males. In addition, an attenuation of ERG amplitudes between 1 and 10 months of age was recorded (Chaychi et al., 2015), which may explain the fine changes in the ocular media and the gradual reduction in photopigment contents (Birch and Anderson, 1992) or the reduction in retinal cell number with age (Dorey et al., 1989; Curcio et al., 1990), as our data showed for both sexes.

Age-related macular degeneration (AMD) in humans is associated with progressive degeneration of the retinal pigment epithelium (RPE) cell layer and photoreceptor cells. Because photoreceptors depend for their maintenance on RPE, it was essential to analyze the involvement of RPE in changes related to aging. The senescence-accelerated mouse (SAM) strain was shown to exhibit changes only in Bruch’s membrane and RPE (Ogata et al., 1992, Takada et al., 1993; Takada et al., 1994). Electron microscopy measurements of Bruch’s membrane of the SAM showed thickening with age, starting with 12 months (Majji et al., 2000), whereas our results in 24-month-old CD1 mice confirmed an increased thickness for both sexes (Table 1), and electron micrographs showed deposits with similar characteristics to the basal laminar material seen in AMD (Green and Enger, 1993). The RPE and Bruch’s membrane changes observed in our study were also reported by several studies (Ogata et al., 1992; Takada et al., 1993, Takada et al., 1994; Nakamura et al., 1995). They showed disorganization of the basal infolding, extension of the intercellular space, and accumulation of lipofuscin granules, which are all in agreement with our results. According to a SAM experiment for mice older than 12 months (Majji et al., 2000), we observed at 24 months of age localized rough extensions in Bruch’s membrane toward the RPE (related to basal linear deposits found in human AMD) and a general increase in the thickness of Bruch’s membrane. Other studies found the presence of drusen between the RPE basal lamina and inner collagenous layer of BM (Farkas et al., 1971; Loffler and Lee, 1986; van der Schaft et al., 1991; van der Schaft et al., 1993; Kliffen et al., 1997; Zarbin, 1998; Curcio and Millican, 1999; Green, 1999; Sarks et al., 1999, 2007; Spraul et al., 1999). Both basal deposits and drusen result from incomplete digestion/removal of RPE cellular constituents (Farkas et al., 1971) and are the main cause of photoreceptor deficiencies, making it difficult to obtain nutrients from the vascular choroid.

Aging is also associated with accumulation of retinal lipids and lipofuscins, subsequently contributing to AMD (Suzuki et al., 2007; Curcio et al., 2009), to best vitelliform macular dystrophy, or to fundus flavimaculatus (Stargardt disease) (Nag and Wadhwa, 2012). In particular, electron micrographs showed RPE lipid accumulation in both aged males and females and infiltrated into Bruch’s membrane. The abundant lipids could contribute to the degeneration of the RPE and subsequent to the photoreceptors, whose metabolism depends on normal epithelial function and layer integrity.

The lipid source of photoreceptors is plasma lipids, and their transfer is facilitated by the RPE and Müller cells. Moreover, the receptors for LDL were highlighted on the RPE (Hayes et al., 1989; Gordiyenko et al., 2004) connected with local production of apoE by RPE cells (Trivino et al., 2006), and a disturbed metabolism could cause an imbalance and lead to intracellular lipid accumulation. The metabolism and transport of lipids could be more impaired as a result of a thickened Bruch’s membrane with changes in its collagen layers and deposition (Pauleikoff et al., 1990; Curcio et al., 2001; Trivino et al., 2006). Curcio et al. (2001) assumed that the aging process of Bruch’s membrane is similar to that of the arterial intima and other connective tissues for which lipoproteins are the source of extracellular cholesterol. The lipid drops observed in Bruch’s membrane for both aged males and females may arise from esterified cholesterol-rich apolipoprotein B–containing lipoprotein particles produced by the RPE (Curcio et al., 2010).

The outer segments of the photoreceptors are composed of infolded plasma membrane discs with photopigments that are properly aligned, and establish an anatomical association with the RPE (Johnson et al., 1986; Blanks et al., 1988). Several studies have shown the misalignment of the outer photoreceptor segments in aging and pathology (as AMD) (Green and Enger, 1993; Jackson et al., 2002; Liu et al., 2003; Eckmiller, 2004), and the discs are randomly oriented or disorganized into tubules and membranous whorls (Marshall et al., 1979; Nag and Wadhwa, 2012), as we observed in the 75- to 85-year-old human-equivalent aged mice (24-month-old mice), mainly for aged males. Their occurrence is possibly attributed to the vulnerability of mitochondria via oxidative stress, light, or toxic substances, contributing to energy depletion and cone loss in the human retina with aging (Curcio and Drucker, 1993). Moreover, injured mitochondria have been reported by us in photoreceptor cells and are more widespread for the aged male retina.

A proposed mechanism that could trigger the degenerative process in aging is primarily focused on the outer segments of the photoreceptors, followed by the inner segments, and finally on the cell body depletion from the ONL (DiLoreto et al., 1994). A deeper investigation of retinal changes with age suggests hormonal involvement in structural and functional preservation, such as estrogen. Chaychi et al. (2015) assumed the role of biological sex and age on the retinal function. They showed better retinal functions in cyclic female rats than in menopausal ones, suggesting a negative effect of the estrus cycle decline related to aging (van den Beld et al., 2018). Other mechanistic involvement in sex difference targets the oxygen supply of the retina. In a recent preclinical experiment, female neurons were reported to be less sensitive than male neurons to hypoxia induced by oxygen–glucose deprivation (Lang and McCullough, 2008). Moreover, estrogen can attenuate retinal ischemia–reperfusion (Nonaka et al., 2000) via nitric oxide and nitric oxide synthase (NOS) activity enhancement genes (Mendelsohn and Karas, 2005).

The INL contain three types of neurons (horizontal, bipolar, and amacrine cells), a macroglia, and a Müller cell, which span the entire thickness of the retina, and they are in anatomical and functional contact with all retinal neurons. The phenotype changes of the Müller glial cells are highlighted by the presence of an extensive network of cytoplasmic processes wrapping around other cells and penetrating the neighboring inner plexiform layer (IPL). The electron microscopy observations may be correlated with data regarding Müller cell resistance in ischemia, anoxia, or hypoglycemia (Silver et al., 1997; Stone et al., 1999) to the detriment of neurons and their passage into the activated or “reactive” state in response to every pathological alteration of the retina (Bringmann et al., 2006). For example, in proliferative vitreoretinopathy (PVR), they undergo hypertrophy (Francke et al., 2001). Moreover, under pathological conditions, they could induce functional changes with microglial activation of the retina (Bringmann et al., 2006), as we pointed out in aging mice. Regarding vascular changes, we showed marked thickening of the endothelial basal membrane of the capillary, which is a change that has been encountered in other pathological conditions, such as AMD (Ramírez et al., 2001) and DR (Ashton, 1974; Garner, 1993; Cai and Boulton, 2002), although the thickening of the endothelial basal membrane of retinal capillaries was recently reported to occur with aging, besides in diseases (Nag et al., 2019).

The ultrastructural aspect of the ganglionar layer was affected with age with a decline in the number of ganglion cells, as was shown by other aging studies (Curcio and Drucker, 1993) or other ocular pathology studies, such as those on glaucoma, optic neuritis, RP, and Alzheimer’s disease (Hinton et al., 1986; Stone et al., 1992; Curcio and Drucker, 1993; Trip et al., 2005; Osborne, 2008). In our electron microscopy investigation, we observed lipofuscin granule accumulation, which prominently occurred in ganglion cells in patients with Batten disease (Bensaoula et al., 2000) but were also observed in other aging experiments (Nag et al., 2006).

MicroRNAs (miRNAs) have been established as significant regulators of senescence and cell aging (Smith-Vikos and Slack, 2012) by inducing mRNA degradation or translational repression (Bartel, 2004). miR-27a target genes are important for glutathione metabolism (Smith-Vikos and Slack, 2012) and are involved in suppression of the expression of the enzymes important for polyamine biosynthesis, such as ornithine decarboxylase (Bates et al., 2010). In our study, we found a significant up-regulation of miR-27a-3p in aged retinas compared to young ones, as well as in aged males compared to aged females. This was paralleled by our electron microscopic observations showing ultrastructural changes segregated by sex, which were specific to aged males. In particular, miR-27a was negatively correlated with the thickness of PS, ONL, and OPS, whereas it was positively correlated with Bruch’s membrane thickness. Of note, glutathione reduction leads to photoreceptor cell death, a reduction in ONL thickness, and increased Bruch’s membrane thickness in accordance with our data (Winkler and Giblin, 1983; Schimel et al., 2011; Fernandez-Robredo et al., 2013). Interestingly, miR-27a-3p and miR-20a-5p up-regulation in aged mice is in line with previous studied that showed an elevation of these miRNAs in the serum and plasma of patients affected by wet or dry age-related macular degeneration (AMD), an ocular pathology characterized by cellular debris between the choroid and retina (Ertekin et al., 2014; Berber et al., 2017; Romano et al., 2017). miR-27b-3p, an oxidative stress-responsive microRNA, was found to be up-regulated in aged mice and previously showed significant age differences in the male mice thymus (Guo et al., 2017; Xu et al., 2017). Moreover, miR-20b-5p, which was found to be down-regulated by oxidative stress (Tai et al., 2020), was one of the most important causes underlying oxidative damage during aging (Liguori et al., 2018), and it was reported to inhibit the senescence of human umbilical vein endothelial cells induced by oxidative stress by promoting cell viability (Dong et al., 2020).

Further evidence supporting a dysregulation of age-related miRNAs in the retinal structure and function was shown by our correlation analysis, showing a significant association between miRNA expression levels and the thicknesses of PS, ONL, OPL, and Bruch’s membrane. Although miR-27a-3p, miR-27b-3p, miR-20a-5p, and miR-20b-5p were shown to be dysregulated in retinal derangement induced by diabetes (Platania et al., 2019), these miRNAs were here strictly correlated with the alterations of the retina induced during aging. Indeed, although gender-related miRNA expression remains largely unexplored, with few studies showing a higher tissue specificity associated with histone modification and circadian rhythm for male-biased miRNAs and a higher disease spectrum associated with metabolism and cell cycle process for female-biased miRNA (Cui et al., 2018), our results showed that biological sex can influence the structure and function of the retina upon aging, suggesting that this difference may be underlined by the dysregulation of age-related mi-RNAs.

Interestingly, gender-related miRNAs have been previously reported to be dysregulated in neurological disorders: miR-27a was up-regulated in epilepsy and autoimmune encephalomyelitis (Wang et al., 2014; Morquette et al., 2019); higher levels of miR-27b exacerbate intracerebral hemorrhage-induced brain injury (Xu et al., 2017) and are related to the development of neurological disorders with HCMV infection (Wang et al., 2017); miR-20a showed an increased expression in traumatic injury (Wang et al., 2014); and miR-20b was found to be down-regulated in multiple sclerosis (Ingwersen et al., 2015). Although there is no evidence regarding the gender-related expression of miR-27a, miR-27b, miR-20a, and miR-20b in these neurological disorders, miR-20b expression was higher in males during aging of the thymus (Guo et al., 2017); miR-20a-5p has recently been found to be associated with male infertility (Cito et al., 2020), whereas miR-27a has been found to be related to endometritis (Di Pietro et al., 2018). The expression of mir-20a and miR-20b was highest in the male lung, whereas miR-27b was more expressed in the female lung (Cui et al., 2018). Therefore, studying the gender-related retinal morphological differences and the dysregulation of some retinal miRNAs upon aging, which are closely related to the functional alterations and the development of subsequent pathologies, may provide insights into the neuroprotective mechanisms. From these age-related damaging mechanisms, the increased susceptibility of Balb-c mice to light damage seems to be excluded because one would expect to observe higher retinal morphological damage in young animals than in aged animals (Kalesnykas et al., 2016).

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The animal study was reviewed and approved by the Ethics Committee for Research of the Vasile Goldis Western University of Arad. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author Contributions

AH, MD'A, and CC contributed to the conception, design, data acquisition, analysis, and interpretation of the results and drafted and critically revised the manuscript. SG, MT, HAG, VP, CG, and SR contributed to the acquisition and analysis of data and drafted the manuscript. AH, MD'A, CC, and MG contributed to interpretation of the results and drafted and critically revised the manuscript. All authors gave final approval and agreed to be accountable for all aspects of the work.

Funding

VP and MG were supported by the Ministry of Research and Innovation under grants no. PN 1N/2019_19.29.01.02 and no. 7PFE/2018.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords: aging, retina, gender, histology, electron micoscopy, miRNAs

Citation: Hermenean A, Trotta MC, Gharbia S, Hermenean AG, Peteu VE, Balta C, Cotoraci C, Gesualdo C, Rossi S, Gherghiceanu M and D’Amico M (2021) Changes in Retinal Structure and Ultrastructure in the Aged Mice Correlate With Differences in the Expression of Selected Retinal miRNAs. Front. Pharmacol. 11:593514. doi: 10.3389/fphar.2020.593514

Received: 10 August 2020; Accepted: 29 October 2020;
Published: 13 January 2021.

Edited by:

Galina Sud’ina, Lomonosov Moscow State University, Russia

Reviewed by:

Tapas C. Nag, All India Institute of Medical Sciences, India
Vera Lucia Bonilha, Cleveland Clinic, United States
Rujuan Dai, Virginia Tech, United States

Copyright © 2021 Hermenean, Trotta, Gharbia, Hermenean, Peteu, Balta, Cotoraci, Gesualdo, Rossi, Gherghiceanu and D'Amico. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Anca Hermenean, YW5jYS5oZXJtZW5lYW5AZ21haWwuY29t; Coralia Cotoraci, Y2NvdG9yYWNpQHlhaG9vLmNvbQ==

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