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Compromised barrier function in human induced pluripotent stem-cell-derived retinal pigment epithelial cells from type 2 diabetic patients

Kiamehr, Mostafa,Klettner, Alexa,Richert, Elisabeth,Koskela, Ali,Koistinen, Arto,Skottman, Heli,Kaarniranta, Kai,Aalto-Setälä, Katriina,Juuti-Uusitalo, Kati

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International Journal of Molecular Sciences Article Compromised Barrier Function in Human Induced Pluripotent Stem-Cell-Derived Retinal Pigment Epithelial Cells from Type 2 Diabetic Patients Mostafa Kiamehr 1, Alexa Klettner 2, Elisabeth Richert 2, Ali Koskela 3, Arto Koistinen 4, Heli Skottman 1, Kai Kaarniranta 3,5,6, Katriina Aalto-Setälä 1,7 and Kati Juuti-Uusitalo 1 1Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland 2Department of Ophthalmology, University of Kiel, University Medical Center, 24105 Kiel, Germany 3 Department of Ophthalmology, Institute of Clinical Medicine, University of Eastern Finland, 70210 Kuopio, Finland 4SIB Labs, University of Eastern Finland, 70210 Kuopio, Finland 5Department of Ophthalmology, Kuopio University Hospital, 70210 Kuopio, Finland 6Department of Molecular Genetics, University of Lodz, 90-136 Lodz, Poland 7Heart Hospital, Tampere University Hospital, 33521 Tampere, Finland *Correspondence: [email protected]; Tel.: +358-40-1904292 Received: 18 June 2019; Accepted: 1 August 2019; Published: 1 August 2019   Abstract: In diabetic patients, high blood glucose induces alterations in retinal function and can lead to visual impairment due to diabetic retinopathy. In immortalized retinal pigment epithelial (RPE) cultures, high glucose concentrations are shown to lead to impairment in epithelial barrier properties. For the first time, the induced pluripotent stem-cell-derived retinal pigment epithelium (hiPSC-RPE) cell lines derived from type 2 diabetics and healthy control patients were utilized to assess the effects of glucose concentration on the cellular functionality. We show that both type 2 diabetic and healthy control hiPSC-RPE lines differentiate and mature well, both in high and normal glucose concentrations, express RPE specific genes, secrete pigment epithelium derived factor, and form a polarized cell layer. Here, type 2 diabetic hiPSC-RPE cells had a decreased barrier function compared to controls. Added insulin increased the epithelial cell layer tightness in normal glucose concentrations, and the effect was more evident in type 2 diabetics than in healthy control hiPSC-RPE cells. In addition, the preliminary functionality assessments showed that type 2 diabetic hiPSC-RPE cells had attenuated autophagy detected via ubiquitin-binding protein p62/Sequestosome-1 (p62/SQSTM1) accumulation, and lowered promatrix metalloproteinase 2 (proMMP2) as well as increased pro-MMP9 secretion. These results suggest that the cellular ability to tolerate stress is possibly decreased in type 2 diabetic RPE cells. Keywords: retinal pigment epithelial cells; type 2 diabetes; diabetic retinopathy (DR); induced pluripotent stem cells (hiPSC); barrier function; autophagy; matrix metalloproteinase 1. Introduction Diabetic retinopathy (DR), the major complication in patients with diabetes, is a leading cause of preventable vision loss in working-aged people in industrialized nations [ 1 – 3 ]. DR is estimated to account for 15–17% of total blindness in Europe and USA [ 4 ]. Twenty years after the onset of diabetes, almost all (90%) patients with type 1 diabetes and half (50%) of patients with type 2 diabetes have some form of DR. One third of patients with type 2 diabetes have DR-type changes at the time of diagnosis [1,4]. Int. J. Mol. Sci. 2019,20, 3773; doi:10.3390/ijms20153773 www.mdpi.com/journal/ijms Int. J. Mol. Sci. 2019,20, 3773 2 of 23 DR can be divided into nonproliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). The NPDR is characterized by microaneurysms (i.e., dilation of capillaries, (Figure 1a), hard and soft exudates (Figure 1a), vessel dilatations and tortuosity, haemorrhages (Figure 1a), and intraretinal microvascular abnormalities (Figure 1b). Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 2 of 24 (Figure 1a), hard and soft exudates (Figure 1a), vessel dilatations and tortuosity, haemorrhages (Figure 1a), and intraretinal microvascular abnormalities (Figure 1b). Figure 1. (a) Fundus photograph of donor of UTA.08203.EURCCS cell line having severe diabetes retinopathy with a microaneurysm (black arrow), hemorrhage (white arrow), and soft exudate (green arrow). (b) A red free fundus photograph from the same patient with intraretinal microvascular abnormalities (IRMA) pointed with an arrow. NPDR can be classified according to mild (only microaneurysms), moderate (more than microaneurysms), and severe retinopathy (many complications in all retina sections) levels. The NPDR stages are primarily a consequent of increased hyperglycemic, oxidative stress, hypoxia, and inflammation conditions that may lead to the PDR, which is characterized by the growth of new, but fragile, retinal vessels [1]. The vascular leakage from these newly formed vessels can lead to swelling of the macula, and hence to the macular edema, which is the most common cause of blindness in diabetic patients [1,5]. Endothelial pathology in DR has been characterized in detail, but the effects in the outer retina, in retinal pigment epithelium (RPE), has drawn rather little attention [1–3,5–8]. RPE cells are a polarized monolayer of cells that form a tight and selective diffusion barrier between the choroid and the neural retina [1–3]. It has been widely accepted that the increased glucose concentration escalates leakiness of the outer retina [1–3]. The hyperglycemic stimuli have been shown to decrease the barrier function in diabetic rodents [9] and decrease the tightness of the RPE cell layer in immortalized ARPE-19 cell cultures [10,11]. The hyperglycemic stimuli has also been shown to increase extracellular matrix protein, such as collagen and laminin [12,13], extracellular matrix organizing protein, such as matrix metalloproteinases (MMP) [14,15] production, and the expression of pigment epithelial growth factor (PEDF) [16,17]. Pathogenesis of DR has been studied for decades by using rodents, dogs, pigs, and non-human primates [1], as well as retinal ex vivo cultures [18] and primary cells isolated from diabetic patients [15,16]. However, the limitation of these diabetic patient cell/tissue culture approaches is their inherent heterogeneity [1]. Therefore, a feasible option to achieve a disease-specific cell type is to use donor specific human induced pluripotent stem cells (hiPSCs) [1,19]. Autophagy is a host defense response to many environmental stresses observed in retinal diseases such as glycative stress, nutrient deprivation, hypoxia, or oxidative stress [20]. In autophagy, the autophagosome seals the content destined to degradation and fuses with a lysosome to degrade the cargo. In this process, the p62/SQSTM1 (sequestosome 1) protein, which also has a role in antioxidant cytoprotection via the NRF-2/ARE (nuclear erythroid 2-related factor 2/antioxidant response element) pathway, sort and bind the cargo for autophagic degradation and binds with LC3 (microtubule-associated protein 1A/1B-light chain) to form autophagosome and seal the cargo [21]. Both of these proteins are degraded along with the cargo and are therefore used for monitoring autophagy markers [22]. Similarly, increased oxidative stress, disturbed proteostasis, and Figure 1. ( a ) Fundus photograph of donor of UTA.08203.EURCCS cell line having severe diabetes retinopathy with a microaneurysm (black arrow), hemorrhage (white arrow), and soft exudate (green arrow). ( b ) A red free fundus photograph from the same patient with intraretinal microvascular abnormalities (IRMA) pointed with an arrow. NPDR can be classified according to mild (only microaneurysms), moderate (more than microaneurysms), and severe retinopathy (many complications in all retina sections) levels. The NPDR stages are primarily a consequent of increased hyperglycemic, oxidative stress, hypoxia, and inflammation conditions that may lead to the PDR, which is characterized by the growth of new, but fragile, retinal vessels [ 1 ]. The vascular leakage from these newly formed vessels can lead to swelling of the macula, and hence to the macular edema, which is the most common cause of blindness in diabetic patients [ 1 , 5 ]. Endothelial pathology in DR has been characterized in detail, but the effects in the outer retina, in retinal pigment epithelium (RPE), has drawn rather little attention [1–3,5–8]. RPE cells are a polarized monolayer of cells that form a tight and selective diffusion barrier between the choroid and the neural retina [ 1 – 3 ]. It has been widely accepted that the increased glucose concentration escalates leakiness of the outer retina [ 1 – 3 ]. The hyperglycemic stimuli have been shown to decrease the barrier function in diabetic rodents [ 9 ] and decrease the tightness of the RPE cell layer in immortalized ARPE-19 cell cultures [ 10 , 11 ]. The hyperglycemic stimuli has also been shown to increase extracellular matrix protein, such as collagen and laminin [ 12 , 13 ], extracellular matrix organizing protein, such as matrix metalloproteinases (MMP) [ 14 , 15 ] production, and the expression of pigment epithelial growth factor (PEDF) [16,17]. Pathogenesis of DR has been studied for decades by using rodents, dogs, pigs, and non-human primates [ 1 ], as well as retinal ex vivo cultures [ 18 ] and primary cells isolated from diabetic patients [15,16]. However, the limitation of these diabetic patient cell/tissue culture approaches is their inherent heterogeneity [ 1 ]. Therefore, a feasible option to achieve a disease-specific cell type is to use donor specific human induced pluripotent stem cells (hiPSCs) [1,19]. Autophagy is a host defense response to many environmental stresses observed in retinal diseases such as glycative stress, nutrient deprivation, hypoxia, or oxidative stress [ 20 ]. In autophagy, the autophagosome seals the content destined to degradation and fuses with a lysosome to degrade the cargo. In this process, the p62/SQSTM1 (sequestosome 1) protein, which also has a role in anti-oxidant cytoprotection via the NRF-2/ARE (nuclear erythroid 2-related factor 2/antioxidant Int. J. Mol. Sci. 2019,20, 3773 3 of 23 response element) pathway, sort and bind the cargo for autophagic degradation and binds with LC3 (microtubule-associated protein 1A/1B-light chain) to form autophagosome and seal the cargo [ 21 ]. Both of these proteins are degraded along with the cargo and are therefore used for monitoring autophagy markers [ 22 ]. Similarly, increased oxidative stress, disturbed proteostasis, and accumulated toxic compounds trigger the progression from para-inflammation to chronic inflammation [20,23]. In previous studies, diabetic patient-derived hiPSCs have already been differentiated into cardiomyocytes [ 24 ] and insulin-producing cells [ 25 ], but according to our knowledge, there is no publications of differentiation of hiPSCs into RPE cells. In this study, we assessed the development of the barrier function of type 2 diabetic patient-derived hiPSC-RPEs assessed under different glucose concentrations in the presence or absence of added insulin. In addition, the functionality was preliminarily investigated under oxidative stress, and autophagic and cytokine stimuli. 2. Results 2.1. Pluripotency Assessment Here, the hiPSC lines, three (UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs) from type 2 diabetics and two (UTA.10212.EURCCs, and UTA.10902.EURCCs) from controls used in this study were characterized in detail for their pluripotency. In all five hiPSC lines the virally transferred exogenous pluripotency genes (OCT4,c-MYC,SOX2, and KLF) were silenced (Figure 2a) and they all expressed the pluripotency markers of OCT4,REX1,SOX2,NANOG, and c-MYC at the gene level (Figure 2b). The pluripotency of iPSC lines was verified in vitro using embryoid body(EB) formation, from which we showed using PCR that EBs were expressing at least one marker from each of the three germ layers (endoderm, mesoderm, and ectoderm) (Figure 2c). Furthermore, the results from indirect immunofluorescence staining confirmed the expression of NANOG, OCT4, SOX2, SSEA4, TRA1-60, and TRA1-80 at the protein level (Figure 2d). During the time of the experiment, the karyotypes of all five iPSC lines were normal (Figure 2e). 2.2. Maturation Status of Cells Verified with Gene Expression and Morphology The maturation of PREs was characterized using visual detection of pigmentation (Figure 3a–d). Although there were slight differences in the intensity of pigmentation, all characterized cell lines had a cobblestone morphology and pigmentation. In the representative immunofluorescent staining, all analyzed cell lines were positive for tight junction localizing ZO-1 (Figure 3e–h). The maturation was further assessed with transmission electron microscopy (TEM), in which all the characterized cell lines exhibited pigment granules as well as a thick and even brush border (Figure 3i–l). The differentiation and maturation status of hiPSC-RPEs derived from type 2 diabetics (UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs), and healthy control (UTA.10212.EURCCs and UTA.10902.EURCCs) patient hiPSC-RPEs was assessed using RT-PCR after five weeks of culture on polyethylene terephthalate (PET) inserts in normal (NG) or high glucose (HG) (Figure 3m). The pluripotency gene Oct3/4, a marker of undifferentiated hiPSCs, was quiescent, and PAX6, a marker of neuroectodermal and eye-specific lineage, was expressed in low levels. Bestrophin (BEST1), a RPE-specific gene, was expressed in all analyzed cell lines. The RPE65, another RPE-specific gene, was expressed in all cell lines. The tyrosinase gene, which is essential for melanin synthesis, was expressed in high levels in type 2 diabetic hiPSC-RPE line UTA.08002.DMs, and in healthy control hiPSC-RPE lines UTA.10212.EURCCs and UTA.10902.EURCCs, and low levels in type 2 diabetic hiPSC lines UTA.08203.DMs and UTA.10802.EURCCs (Figure 3m). Int. J. Mol. Sci. 2019,20, 3773 4 of 23 Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 4 of 24 Figure 2. Characterization of the human induced pluripotent stem cell (hiPSC) line gene and protein expression and analyses of their karyotype. (a) The virally transferred Sendai exogenes OCT4, c-MYC, SOX2, and KLF4 were silenced in all the iPSC lines. The RNA that was extracted one week after the viral transduction was taken as a positive control. GAPDH was used as a housekeeping gene. (b) All the five hiPSC lines expressed endogenous pluripotency genes OCT4, REX1, SOX2, NANOG, and cMYC. (c) All five hiPSC lines formed embryoid bodies (EBs) expressing at least one marker from each of the germ layers: endoderm (AFP, SOX17), mesoderm (KDR, α-cardiac actin α AC), and ectoderm (SOX1, POX6). (d) The expression of pluripotency markers in all iPSC lines were confirmed at the protein level using indirect immunofluorescence staining. The red color indicates the specific signal Figure 2. Characterization of the human induced pluripotent stem cell (hiPSC) line gene and protein expression and analyses of their karyotype. ( a ) The virally transferred Sendai exogenes OCT4,c-MYC, SOX2, and KLF4 were silenced in all the iPSC lines. The RNA that was extracted one week after the viral transduction was taken as a positive control. GAPDH was used as a housekeeping gene. ( b ) All the five hiPSC lines expressed endogenous pluripotency genes OCT4,REX1,SOX2,NANOG, and c-MYC. ( c ) All five hiPSC lines formed embryoid bodies (EBs) expressing at least one marker from each of the germ layers: endoderm (AFP, SOX17), mesoderm (KDR, α -cardiac actin α AC), and ectoderm (SOX1, POX6). ( d ) The expression of pluripotency markers in all iPSC lines were confirmed at the protein level using indirect immunofluorescence staining. The red color indicates the specific signal for NANOG, OCT4, SOX2, SSEA4, TRA1-60, and TRA1-81, and the blue color indicates the nuclei stained using DAPI (4 0 ,6-diamidino-2-phenylidole). The scale bar represents 200 µ m. ( e ) Karyotype analyses of five hiPSC lines. Red and blue dots indicate chromosomal signal ratios of sample DNA against male (blue) or female (red) reference normal karyotype DNA, as detected using a KaryoLiteTM BoBs ™ assay. Signal from normal chromosomes should lie inside the reference area around value 1, while with an abnormal karyotype, signals lie outside the reference area. Cell lines UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs showed a normal male karyotype, and cell lines UTA.10212.EURCCs, and UTA.10902.EURCCs showed a normal female karyotype. Int. J. Mol. Sci. 2019,20, 3773 5 of 23 Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 5 of 24 for NANOG, OCT4, SOX2, SSEA4, TRA1-60, and TRA1-81, and the blue color indicates the nuclei stained using DAPI (4′,6-diamidino-2-phenylidole). The scale bar represents 200 µm. (e) Karyotype analyses of five hiPSC lines. Red and blue dots indicate chromosomal signal ratios of sample DNA against male (blue) or female (red) reference normal karyotype DNA, as detected using a KaryoLiteTM BoBs™ assay. Signal from normal chromosomes should lie inside the reference area around value 1, while with an abnormal karyotype, signals lie outside the reference area. Cell lines UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs showed a normal male karyotype, and cell lines UTA.10212.EURCCs, and UTA.10902.EURCCs showed a normal female karyotype. 2.2. Maturation Status of Cells Verified with Gene Expression and Morphology The maturation of PREs was characterized using visual detection of pigmentation (Figure 3a–d). Although there were slight differences in the intensity of pigmentation, all characterized cell lines had a cobblestone morphology and pigmentation. In the representative immunofluorescent staining, all analyzed cell lines were positive for tight junction localizing ZO-1 (Figure 3e–h). The maturation was further assessed with transmission electron microscopy (TEM), in which all the characterized cell lines exhibited pigment granules as well as a thick and even brush border (Figure 3i–l). Figure 3. Characterization of RPE specific features. (a–d) The phase contrast micrographs taken after the five weeks of cultivation showed a substantial amount of pigmentation in type 2 diabetic and healthy control cell lines (a) type 2 diabetic, UTA.08002.DMs; (b) type 2 diabetic, UTA.08203.DMs; (c) Figure 3. Characterization of RPE specific features. ( a – d ) The phase contrast micrographs taken after the five weeks of cultivation showed a substantial amount of pigmentation in type 2 diabetic and healthy control cell lines ( a ) type 2 diabetic, UTA.08002.DMs; ( b ) type 2 diabetic, UTA.08203.DMs; ( c ) type 2 diabetic, UTA.10802.EURCCS; and ( d ) healthy control, UTA.10902.EURCCs. The scale bar represents 20 µ m. ( e – h ) Immunofluorescent staining of tight junction ZO-1 localized to the cell edges. ( e ) type 2 diabetic, UTA.08002.DMs; ( f ) type 2 diabetic, UTA.08203.DMs; ( g ) type 2 diabetic, UTA.10802.EURCCS; and (h) healthy control, UTA.10902.EURCCs. The scale bar represents 20 µ m. Transmission electron micrographs reveal that hiPSC-RPEs were growing in a monolayer, have melanin granules and a thick brush border. ( i ) type 2 diabetic, UTA.08002.DMs; ( j ) type 2 diabetic, UTA.08203.DMs; ( k ) type 2 diabetic, UTA.10802.EURCCS; and ( l ) healthy control, UTA.10902.EURCCs. The scale bar represents 2 µ m. ( m ) The RPE cells differentiated from type 2 diabetic (UTA.08002.DMs, UTA.08203.DMs, UTA.10802.EURCCs) and healthy control (UTA.10212.EURCCs, UTA.10902.EURCCs) cells during five weeks of time in normal (NG) or high (HG) glucose concentration, as studied in RT-PCR. The hiPSCs expressed the housekeeping gene GAPDH, and eye-specific lineage marker PAX6, as well as RPE-specific marker Bestrophin (BEST), and low amounts of tyrosinase, but no pluripotency marker OCT3/4. The negative controls (marked with H2O) are shown on the right-hand side. Int. J. Mol. Sci. 2019,20, 3773 6 of 23 2.3. Barrier Properties in hiPSC-RPE Cells When RPE cells mature, they form a tight, uniform, and polarized cellular monolayer. We followed the maturation of hiPSC-RPE cells derived from diabetic or healthy control individuals grown in different high or normal glucose concentrations in the presence or absence of added insulin over five weeks. The maturation of epithelial cell layer was evaluated by assessing the trans-epithelial electrical resistance (TEER). Both the type 2 diabetic and healthy control hiPCS-RPEs matured and the TEER increased during the follow-up period (Figure 4a,b). TEER in HG+in type 2 diabetic cells was 313 Ω· cm 2 and in healthy control cells in HG+was 208 Ω· cm 2 . Statistical analysis verified that the difference was statistically significant (p=0.03). There were statistically significant changes in TEER in NGM+, NG+, and NG − between the type 2 diabetic and healthy control cells, as illustrated in Figure 4c (NGM−p=0.011, NG+p=0.017, and NG−p=0.017). Then, we compared the TEER within cell groups when cultured in different glucose concentrations. Both type 2 diabetic and healthy control hiPSC-RPEs grown in HG+had higher TEER than those grown in NGM − , and this difference was statistically significant (p=0.01 and p=0.016, respectively). In addition, there were statistically significant differences between conditions NGM − and NGM+, in type 2 diabetic (p=0.006) and in healthy control (p=0.041) cells. The tightness of the epithelial cell layer was evaluated at the end of the cultivation period by assessing the cumulative permeability percentage of a small-molecular-weight fluorescent marker (FD4) through the hiPSC-RPE epithelial cell layer in an Ussing chamber system (Figure 5a–c). During the five weeks culture period, all hiPSC-RPE cultures had formed a tightly sealed cell layer as the cumulative permeability percentage of FD4 was close to 0 in both type 2 diabetic and healthy control hiPSC-RPEs (Figure 5a,b). When the endpoint at 240 min was plotted, it is seen that the type 2 diabetic hiPSC-RPE cultures were more permeable than healthy control hiPSC-RPEs (Figure 5c). The most statistically significant differences (p=0.004) were found when the NGM+condition was compared between type 2 diabetic (cumulative permeability % = − 0.012) and healthy control (cumulative permeability % = −0.057) hiPSC-RPEs (Figure 5c). Int. J. Mol. Sci. 2019,20, 3773 7 of 23 Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 7 of 24 Figure 4. Development of barrier function in diabetic and healthy control hiPSC-RPEs. Cells were cultured for 5 weeks in different glucose and insulin concentrations (see treatments and abbreviations below). The development of trans-epithelial electrical resistance (TEER) during the five-weeks culture: (a) represents three type 2 diabetic cell lines (UTA.08002.DMs, UTA.08203.DMs, UTA.10802.EURCCs) (n = 3–4 biological, and 2 technical replicates); (b) represents one healthy control cell line (UTA.10902.EURCCs) (n = 3 biological, and 2 technical replicates). (c) The TEER after 35 days of culture. Data are presented as mean ± SD. Statistical significance * p < 0.05, ** p < 0.01. HG represents high glucose (25 mM); NG represents normal glucose (5 mM); NGM represents normal glucose (5 mM) balanced with mannitol (19.5 mM). DM− is the control culture medium, which is ordinarily used for hiPSC maturation. The tightness of the epithelial cell layer was evaluated at the end of the cultivation period by assessing the cumulative permeability percentage of a small-molecular-weight fluorescent marker (FD4) through the hiPSC-RPE epithelial cell layer in an Ussing chamber system (Figure 5a–c). During the five weeks culture period, all hiPSC-RPE cultures had formed a tightly sealed cell layer as the cumulative permeability percentage of FD4 was close to 0 in both type 2 diabetic and healthy control hiPSC-RPEs (Figure 5a,b). When the endpoint at 240 min was plotted, it is seen that the type 2 diabetic Figure 4. Development of barrier function in diabetic and healthy control hiPSC-RPEs. Cells were cultured for 5 weeks in different glucose and insulin concentrations (see treatments and abbreviations below). The development of trans-epithelial electrical resistance (TEER) during the five-weeks culture: ( a ) represents three type 2 diabetic cell lines (UTA.08002.DMs, UTA.08203.DMs, UTA.10802.EURCCs) (n=3–4 biological, and 2 technical replicates); ( b ) represents one healthy control cell line (UTA.10902.EURCCs) (n=3 biological, and 2 technical replicates). ( c ) The TEER after 35 days of culture. Data are presented as mean ± SD. Statistical significance * p<0.05, ** p<0.01. HG represents high glucose (25 mM); NG represents normal glucose (5 mM); NGM represents normal glucose (5 mM) balanced with mannitol (19.5 mM). DM − is the control culture medium, which is ordinarily used for hiPSC maturation. Int. J. Mol. Sci. 2019,20, 3773 8 of 23 Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 8 of 24 hiPSC-RPE cultures were more permeable than healthy control hiPSC-RPEs (Figure 5c). The most statistically significant differences (p = 0.004) were found when the NGM+ condition was compared between type 2 diabetic (cumulative permeability % = −0.012) and healthy control (cumulative permeability % = −0.057) hiPSC-RPEs (Figure 5c). Figure 5. Cumulative permeability in diabetic and healthy control hiPSC-RPEs. After the 5-week culture, the hiPSC-RPEs were subjected to permeability analysis (a–c). The cumulative transport percentage of 4 kDa Fitc dextran (FD4) from the apical to basal side of hiPSC-RPE in an Ussing chamber system over 240 min in (a) type 2 diabetic, and (b) healthy control cells. The endpoint measurement of cumulative transport percentage at the 240 min time point is shown in separate graphs presented in (c). Data are presented as mean ± SD. Statistical significance p < 0.01 marked as **. HG represents high glucose (25 mM); NG represents normal glucose (5 mM); NGM represents normal glucose (5 mM) balanced with mannitol (19.5 mM). All conditions had +/− added insulin. DM− is the control culture medium, which is ordinarily used for hiPSC maturation. 2.4. Effects of Glucose Concentration on the Secretion of the RPE-Specific Growth Factor (PEDF) Secretion Mature RPE cells normally synthetize and apically secrete PEDF growth factor. As PEDF is a marker of RPE cell wellbeing, and using this, we wanted to see whether different concentrations of Figure 5. Cumulative permeability in diabetic and healthy control hiPSC-RPEs. After the 5-week culture, the hiPSC-RPEs were subjected to permeability analysis ( a – c ). The cumulative transport percentage of 4 kDa Fitc dextran (FD4) from the apical to basal side of hiPSC-RPE in an Ussing chamber system over 240 min in ( a ) type 2 diabetic, and ( b ) healthy control cells. The endpoint measurement of cumulative transport percentage at the 240 min time point is shown in separate graphs presented in ( c ). Data are presented as mean ± SD. Statistical significance p<0.01 marked as **. HG represents high glucose (25 mM); NG represents normal glucose (5 mM); NGM represents normal glucose (5 mM) balanced with mannitol (19.5 mM). All conditions had +/ − added insulin. DM − is the control culture medium, which is ordinarily used for hiPSC maturation. 2.4. Effects of Glucose Concentration on the Secretion of the RPE-Specific Growth Factor (PEDF) Secretion Mature RPE cells normally synthetize and apically secrete PEDF growth factor. As PEDF is a marker of RPE cell wellbeing, and using this, we wanted to see whether different concentrations of glucose and/or insulin have an effect on PEDF secretion. During a 24 h collection time, all studied hiPSC-RPEs secreted a substantial amount (>500 ng/mL) of PEDF (Figure 6) from their growth area (0.3 cm 2 ). The type 2 diabetic hiPSC-RPE lines secreted on average 495–610 ng/mL PEDF, which was less than healthy control hESC-RPEs (627–670 ng/mL). However, none of these differences was statistically significant as the highest significance in statistical analyses was p=0.06 between type 2 diabetic and healthy control hiPSC-RPEs in NGM − (Figure 6). The type 2 diabetic and healthy control hiPSC-RPE cells secreted higher amounts of PEDF on the apical side than on the basal side (Supplemental Figure S1a,b). Int. J. Mol. Sci. 2019,20, 3773 9 of 23 Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 9 of 24 glucose and/or insulin have an effect on PEDF secretion. During a 24 h collection time, all studied hiPSC-RPEs secreted a substantial amount (>500 ng/mL) of PEDF (Figure 6) from their growth area (0.3 cm2). The type 2 diabetic hiPSC-RPE lines secreted on average 495–610 ng/mL PEDF, which was less than healthy control hESC-RPEs (627–670 ng/mL). However, none of these differences was statistically significant as the highest significance in statistical analyses was p = 0.06 between type 2 diabetic and healthy control hiPSC-RPEs in NGM− (Figure 6). The type 2 diabetic and healthy control hiPSC-RPE cells secreted higher amounts of PEDF on the apical side than on the basal side (Supplemental Figure S1a,b). Figure 6. The effects of glucose and insulin concentration and extracellular stress on pigment epithelial growth factor (PEDF) secretion. The amount of PEDF was assessed using enzyme-linked immunosorbent assay (ELISA) from medium samples after a 24 h collection of apical and basal side (1 + 1). Medium was from hiPSC-RPEs derived from type 2 diabetic (UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs) and healthy control (UTA.10902.EURCCs) patients (1–3 biological replicates, 1 technical replicate). 2.5. Effects of Glucose Concertation's on Glucokinase Gene Expression Changes in the glucokinase (GCK) activity are involved in the glucose uptake, and its expression is affected by the insulin concentration [26]. As we did not detect any clear glucose concentrationdependent alterations in PEDF secretion, we ran a preliminary analysis (one biological replicate and three technical replicates) to see how glucose and insulin concentration effected GCK gene expression. The result showed that, except in the NGcondition, the expression of GCK was higher in type 2 diabetic cells than the healthy control in various conditions (Figure 7). Figure 7. The preliminary assessment of glucokinase (GCK) gene expression in different glucose and insulin concentrations. Expression of GCK in type 2 diabetic (UTA.08002.DMs) or healthy control (UTA.10902.EURCCs) patient-derived hiPSC-RPEs (three technical replicates, one biological replicate) was studied when cultured in different glucose and insulin concentrations (see treatments and abbreviations below). Treatments and their abbreviations: High glucose (HG, 25mM), normal glucose 5 mM balanced with mannitol 19.5 mM (NGM), or normal glucose (NG, 5 mM) in the presence or absence (+/−) of added insulin. Each bar represents the medium of three technical replicates. Figure 6. The effects of glucose and insulin concentration and extracellular stress on pigment epithelial growth factor (PEDF) secretion. The amount of PEDF was assessed using enzyme-linked immunosorbent assay (ELISA) from medium samples after a 24 h collection of apical and basal side (1 +1). Medium was from hiPSC-RPEs derived from type 2 diabetic (UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs) and healthy control (UTA.10902.EURCCs) patients (1–3 biological replicates, 1 technical replicate). 2.5. Effects of Glucose Concertation’s on Glucokinase Gene Expression Changes in the glucokinase (GCK) activity are involved in the glucose uptake, and its expression is affected by the insulin concentration [ 26 ]. As we did not detect any clear glucose concentration-dependent alterations in PEDF secretion, we ran a preliminary analysis (one biological replicate and three technical replicates) to see how glucose and insulin concentration effected GCK gene expression. The result showed that, except in the NGcondition, the expression of GCK was higher in type 2 diabetic cells than the healthy control in various conditions (Figure 7). Int. J. Mol. Sci. 2019, 20, x FOR PEER REVIEW 9 of 24 glucose and/or insulin have an effect on PEDF secretion. During a 24 h collection time, all studied hiPSC-RPEs secreted a substantial amount (>500 ng/mL) of PEDF (Figure 6) from their growth area (0.3 cm2). The type 2 diabetic hiPSC-RPE lines secreted on average 495–610 ng/mL PEDF, which was less than healthy control hESC-RPEs (627–670 ng/mL). However, none of these differences was statistically significant as the highest significance in statistical analyses was p = 0.06 between type 2 diabetic and healthy control hiPSC-RPEs in NGM− (Figure 6). The type 2 diabetic and healthy control hiPSC-RPE cells secreted higher amounts of PEDF on the apical side than on the basal side (Supplemental Figure S1a,b). Figure 6. The effects of glucose and insulin concentration and extracellular stress on pigment epithelial growth factor (PEDF) secretion. The amount of PEDF was assessed using enzyme-linked immunosorbent assay (ELISA) from medium samples after a 24 h collection of apical and basal side (1 + 1). Medium was from hiPSC-RPEs derived from type 2 diabetic (UTA.08002.DMs, UTA.08203.DMs, and UTA.10802.EURCCs) and healthy control (UTA.10902.EURCCs) patients (1–3 biological replicates, 1 technical replicate). 2.5. Effects of Glucose Concertation's on Glucokinase Gene Expression Changes in the glucokinase (GCK) activity are involved in the glucose uptake, and its expression is affected by the insulin concentration [26]. As we did not detect any clear glucose concentrationdependent alterations in PEDF secretion, we ran a preliminary analysis (one biological replicate and three technical replicates) to see how glucose and insulin concentration effected GCK gene expression. The result showed that, except in the NGcondition, the expression of GCK was higher in type 2 diabetic cells than the healthy control in various conditions (Figure 7). Figure 7. The preliminary assessment of glucokinase (GCK) gene expression in different glucose and insulin concentrations. Expression of GCK in type 2 diabetic (UTA.08002.DMs) or healthy control (UTA.10902.EURCCs) patient-derived hiPSC-RPEs (three technical replicates, one biological replicate) was studied when cultured in different glucose and insulin concentrations (see treatments and abbreviations below). Treatments and their abbreviations: High glucose (HG, 25mM), normal glucose 5 mM balanced with mannitol 19.5 mM (NGM), or normal glucose (NG, 5 mM) in the presence or absence (+/−) of added insulin. Each bar represents the medium of three technical replicates. Figure 7. The preliminary assessment of glucokinase (GCK) gene expression in different glucose and insulin concentrations. Expression of GCK in type 2 diabetic (UTA.08002.DMs) or healthy control (UTA.10902.EURCCs) patient-derived hiPSC-RPEs (three technical replicates, one biological replicate) was studied when cultured in different glucose and insulin concentrations (see treatments and abbreviations below). Treatments and their abbreviations: High glucose (HG, 25mM), normal glucose 5 mM balanced with mannitol 19.5 mM (NGM), or normal glucose (NG, 5 mM) in the presence or absence (+/−) of added insulin. Each bar represents the medium of three technical replicates. 2.6. Effects of Glucose on Autophagy The preliminary functionality assessment (with one biological replicate) of autophagic machinery in the hiPSC-RPE lines was done by evaluating autophagy marker protein LC3-II and p62/SQSTM1 expression from the Western blots of whole cell protein extracts (Figure 8a–c). Compared to control, autophagy stimuli 5-aminoimidazole-4-carboxyamide ribonucleoside (AICAR) increased the relative LC3-II level in both type 2 diabetic and healthy control hiPSC-RPEs in almost all glucose and insulin concentrations (Figure 8d–f) in healthy hiPSC-RPEs. Starvation, which is also known to activate autophagy, clearly decreased the relative amounts of LC3-II in type 2 diabetic and healthy control hiPSC-RPE and in all glucose and insulin concentrations (Figure 8d–f). We did not detect any difference in the LC3-II expression between diabetic or healthy control hiPSC-RPEs. Interestingly, in type 2 Int. J. Mol. Sci. 2019,20, 3773 16 of 23 4.3. Human Induced Pluripotent Stem Cell Characterization All the hiPSC lines were characterized in detail as we described before [ 45 ]. Briefly, the absence of imported exogenes (OCT4,SOX2,KLF4, and c-MYC) and the expression of endogenous pluripotency genes (OCT3/4,NANOG,SOX2,REX1, and c-MYC) was evaluated using PCR. The protein expression of pluripotency markers OCT-3/4, Nanog, SSEA-4, SOX2, TRA 1-60, and TRA 1-81, was confirmed using indirect immunofluorescence staining. In addition, the pluripotency of the hiPSCs was verified in vitro via the formation of embryoid bodies (EBs). Then, the expression of marker genes characteristic of the endoderm (SOX17 or AFP), mesoderm (KDR or ACTC1), or ectoderm (SOX1,PAX6,Nestin, or Musashi) were studied from the extracted RNAs of the EBs and GAPDH was used as an endogenous control. The list of primer sequences for pluripotency genes, marker genes of the three germ layers, and the list of primary and secondary antibodies has been published before [ 46 ]. Normal karyotype of the hiPSC lines was evaluated in the Finnish Microarray and Sequencing Centre by performing genome-wide screening for gross chromosomal abnormalities with KaryoLite BoBs (Perkin Elmer, 4501–0010) as described elsewhere [47]. 4.4. Differentiation of Human Induced Pluripotent Stem Cells to Retinal Pigment Epithelial Cells The differentiation towards RPE started by dissociating the undifferentiated cells cultured on top of mitotically inactivated mitomycin (10 mg/mL, Sigma-Aldrich, St. Louis, MO, USA) treated human foreskin fibroblasts feeder cell (CRL-2429TM, ATCC, Manassas, VA, USA) hiPSC colonies that were enzymatically with TrypLE ™ Select Enzyme (Gibco ® , Thermo Fisher Scientific). These were transferred to Corning ® Costar ® Ultra-Low attachment plates, and grown in Knock-Out ™ Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 20% Knock-Out ™ SR (KO-SR), 1% MEM non-essential amino acids, 0.1 mM 2-mercaptoethanol, 2 mM GlutaMAX ™ , and 50 U/mL penicillin-streptomycin (all from Gibco ® , Thermo Fisher Scientific, Grand Island, NY, USA). The embryoid body (EB) formation was enhanced using overnight treatment with 5 µ M blebbistatin (Sigma-Aldrich, St. Louis, MO, USA) at +37 ◦ C. Thereafter, the spontaneous RPE differentiation was induced by reducing the KO-SR to 15%. The EBs differentiation was for 56 to 70 days. During this period, medium was replenished thrice a week. After this period, pigmented areas were manually separated from EBs with a scalpel, dissociated with TrypLE ™ Select Enzyme, and acquired single-cell suspension filtered through a 100 µ m BD Falcon cell strainer (BD Biosciences, San Jose, CA, USA), and replated onto well plates coated with human Collagen IV(COLIV, 5 µ g/cm 2 , Sigma-Aldrich) to expand cell numbers and purify the cell population. To expand and purify the culture further, this replating was repeated after 33 to 70 days. 4.5. Cultivation of hiPSC-RPEs for the Experiments After the expansion of cells, the hiPSC-RPEs were dissociated with Trypsin–ethylenediaminetetraacetic acid (EDTA), filtered through a strainer and counted to be plated for the experiments on polyethylene terephthalate (PET) hanging cell culture inserts with a 1.0 µ m pore size (Merck Millipore Corporate, Billerica, MA, USA) which were coated on 10 µ g/cm 2 COL IV (Sigma-Aldrich St. Louis, MO, USA) and 0.75 µ g/cm 2 Laminin 521 (LN-521; Biolamina, Sundbyberg, Sweden). Plated cells were grown in No-glucose DMEM medium with 2 mM GlutaMAX ™ , and 50 U/mL penicillin-streptomycin (all from Gibco, Thermo Fisher Scientific, Grand Island, NY, USA) and 10% heat-inactivated FBS. This base was supplemented with d-glucose or d-mannitol (both from Sigma-Aldrich) or +/ − added human insulin (Gibco ® , Thermo Fisher Scientific). The high glucose (HG) medium contained 25 mM of glucose, normal glucose (NG) medium contained 5 mM of glucose, isotonically balanced normal glucose medium (NGM) contained 5 mM of glucose and 19.5 mM mannitol. To mimic the amount of insulin after the meal/fasting to the HG medium, the amount of added insulin was higher (IU/mL equivalent to 6.94 ng/mL), whereas in the NG or NGM medium, the amount of added insulin was lower (25 IU/mL, equivalent to 0.87 ng/mL). Immediately after plating on PET inserts, the cells were grown in six different media with different Int. J. Mol. Sci. 2019,20, 3773 17 of 23 glucose concentrations and with or without added insulin (HG−, HG+, NGM−, NGM+, NG−, NG+) for 41 +/ − 5 days, and the median was 35 days. The entire culture period from the EB culture until the end of experiment was from 161 to 286 days, median was 188 days. 4.6. Experimental Treatments The cellular stress was induced using 24 h treatment with 10 ng tumor necrosis factor α (TNF α , Peprotech, London, U.K.), and a 1 h treatment with 300 mM hydrogen peroxide (H 2 O 2 , Sigma-Aldrich) followed with a 23-h chase. The treatments for the autophagy function assessments were 24-h treatments were starvation, which was done by omitting the FBS from the culture medium [ 48 ] or by adding 20 µ M Resveratrol (Sigma-Aldrich) or 2 mM AICAR (5-aminoimidazole-4-carboxyamide ribonucleoside, Toronto Research Chemical, North York, ON, Canada). 4.7. Indirect Immunofluorescence Staining The same cultures that were subjected to the permeability test were used for indirect immunofluorescent staining. Samples were first washed in 1 × PBS, fixed with 4% paraformaldehyde for 10 min at room temperature (RT), and followed with four 1 × PBS washes and permeabilized with 0.1% TritonX-100 in 1 × PBS for 10 min at RT. After that, the samples were washed repeatedly with PBS, and 3% bovine serum albumin (BSA) in PBS was added to the samples for 1–1.5 h at RT or overnight at 4 ◦ C to block the nonspecific binding sites. The samples were then incubated with primary antibody against tight junction specific with mouse-anti-ZO-1 (1:250 Invitrogen, Carlsbad, CA, USA) in 0.5% BSA-PBS for 1 h at RT, and thereafter followed by four washes with 1 × PBS. Samples were then incubated with donkey-anti-mouse (Life Technologies, Paisley, UK) secondary antibody at a dilution of 1:1000 in 0.5% BSA-PBS for 1 hour at RT. Finally, the samples were washed four times with 1 × PBS mounted between two cover glasses with Vectashield ® mounting medium with 4 0 ,5-diamidino-2-phenylindole (DAPI) (Vector Laboratories Inc., Burlingame, CA, USA). The visualization and imaging of the stained samples was carried out with an AxioScope A1 (Carl Zeiss, Jena, Germany) using a magnification of 40 × and resolution of 1200 ×1200. 4.8. Preparation of Transmission Electron Microscopy Samples After 35 days of culture in different glucose concentrations, cells were fixed for 2 h at RT with 2% glutaraldehyde (Electron Microscopy Sciences, Hatfield, PA, USA) in a 0.1 M phosphate buffer, and washed thereafter five times with 0.1 M phosphate buffer. The samples were postfixed with 1% osmium tetroxide (Ladd Research, Williston, VT, USA) for 2 h at RT and thereafter washed thoroughly with deionised water. The samples were then dehydrated through acetone series: 3 × 10 min 70% acetone, 3 × 10 min 94% acetone, and 1 × 20 min and 1 × 30 min absolute acetone (J.T. Baker; Avantor Performance Materials, B.V. Deventer, Arnhem, The Netherlands). Samples were impregnated with a 1:1 mixture of absolute acetone and epoxy resin (Ladd Research, Williston, VT, USA) for 1.5 h at RT. Thereafter, the excess acetone-epoxy resin solution was removed and replaced with pure epoxy resin solution. Embedding with pure epoxy resin was done overnight at RT, and polymerization took place for 48 h at 60 ◦ C. Thin sections were stained with 1% uranyl acetate for 30 min and with 0.4% lead citrate (Fluk, Steinheim, Switzerland) for 5 min. Samples were examined and imaged with a JEM-2100F TEM (Jeol Ltd., Tokyo, Japan). 4.9. RNA Extraction and cDNA Synthesis For the gene expression analyses, the total RNA was extracted from cell samples with a NucleoSpin XS-kit (Macherey-Nagel, GmbH & Co., Düren, Germany) according to the manufacturer’s instructions. The RNA concentration and its quality were assessed using a NanoDrop 1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA). RNA (40 ng) was reverse-transcribed to complementary DNA using MultiScribe Reverse Transcriptase (Applied Biosystems, Foster City, CA, USA) according to the manufacturer’s instructions in the presence of an RNase inhibitor. Int. J. Mol. Sci. 2019,20, 3773 18 of 23 4.10. PCR Reaction The RPE characteristics of hiPSC-RPEs was analyzed with RT-PCR using complementary DNA as a template. The reaction was done using 5 µ M primers specific for specific genes (Biomers.net GmbH, Söflinger, Germany, Table 1), 5 U/ µ L Taq DNA Polymerase (Fermentas, Thermo Fisher Scientific Inc., Leicestershire, U.K.) in PCR MasterCycler ep gradient (Eppendorf AG, Hamburg, Germany) according the protocol: 95 ◦ C 3 min, 95 ◦ C 30 s, annealing 30 s, 72 ◦ C 1 min, 72 ◦ C 5 min, for 38 cycles. Annealing temperatures and primer sequences are presented in Table 1. PCR products were resolved in 2% agarose gels with a 50-bp DNA ladder (MassRulerTM DNA Ladder Mix, Fermentas, Thermo Fisher Scientific Inc., Leicestershire, U.K.). The products were visualized with the Quantity One 4.5.2. Basic program (Bio-Rad Laboratories, Inc., Hercules, CA, USA). Table 1. Reverse-transcriptase–PCR primer sequences, product lengths (bp) and used annealing temperatures (Tm). Primer sequences (50>30). Gene Forward Reverse bp Tm GAPDH GTTCGACAGTCAGCCGCATC GGAATTTGCCATGGGTGGA 229 55 OCT 3/4 CGTGAAGCTGGAGAAGGAGAAGCTG AAGGGCCGCAGCTTACACATGTTC 245 55 PAX6 AACAGACACAGCCCTCACAAACA CGGGAACTTGAACTGGAACTGAC 274 60 BEST GAATTTGCAGGTGTCCCTGT ATCAGGAGGACGAGGAGGAT 214 60 RPE65 TCC CCA ATA CAA CTG CCA CT CAC CACC ACA CTC AGA ACT A 316 52 Tyrosinase TGC CAA CGA TCC TAT CTT CC GAC ACA GCA AGC TCA CAA GC 316 52 4.11. Quantitative RT-PCR The effects of different glucose concentrations was assessed by analyzing the expression of glucokinase (GCK, Hs01564555_m1) which was done similarly as previously described in Kiamehr et al. [ 49 ]. The effects of different glucose concentrations or glucose concentrations together with cellular stress using TNF α and H 2 O 2 was analyzed with qRT-PCR with TaqMan ® gene expression assays (Applied Biosystems, Inc., Foster City, CA, USA) using FAM labels. The expression of collagen 4A1 (COL4A1, Hs00266237_m1), fibronectin 1 (FN1, Hs00365052_m1), and laminin A1 (LAMA1, Hs00300550_m1) genes were analyzed and compared against the glyceraldehyde 3-phosphate dehydrogenase (GAPDH; Hs99999905_m1), which was used as an endogenous control. Samples and template-less controls of COL1A4,FN1, and LAMA1 were run in triplicate using the 7300 Real-Time PCR system (Applied Biosystems, Inc. Inc., Foster City, CA, USA) with the following program: 2 min at 50 ◦ C, 10 min at 95 ◦ C; 40 cycles of 15 s at 95 ◦ C, and finally 1 min at 60 ◦ C. Results of COL1A4,FN1, and LAMA1 were analyzed using 7300 System SDS Software 2.4 (Applied Biosystems, Inc. Inc., Foster City, CA, USA). The relative quantification of each gene was calculated using C t values and the 2 −∆∆Ct method [50] using GAPDH as a calibrator. 4.12. Trans-Epithelial Electrical Resistance The barrier properties of the samples cultured in different glucose concentrations were evaluated using trans-epithelial electrical resistance (TEER) analysis once a week during the four-week period after plating hiPSC-RPEs on the PET insert. TEER values ( Ω· cm 2 ) were calculated by multiplying the result by the surface area of the insert. TEER values were obtained from three to five individual experiments with all hiPSC-RPE lines with two to three parallel samples, and two technical replicates. 4.13. Permeability Tests After the five-week culture period, the cell culture inserts were cut from the holder and clamped to a P2307 slider (Physiologic Instruments, San Diego, CA, USA) and placed into the Ussing Chamber device (EM-CSYS-8, Physiologic Instruments) with P2300 EasyMount Diffusion Chambers with the aperture of 0.03 cm 2 to measure the barrier properties. Assessments were done similarly as in Skottman et al. [ 51 ], except that the assessments were carried out in culture media containing the same Int. J. Mol. Sci. 2019,20, 3773 19 of 23 concentration of glucose in which the sample was differentiated. Briefly, 1 mg/mL of 4 kDa fluorescein isothiocyanate–dextran (FD4, Sigma-Aldrich) was used as the test molecule, and placed on the donor side. Blank samples were taken prior to the test from both donor and acceptor media. The pH in the chambers was kept constant with carbon dioxide gas (5% CO 2 , 10% O 2 , 85% N 2 ). Once an hour for 4 hours, two parallel 100 µ L samples were taken from the acceptor side of the chamber and 200 µ L of fresh medium on was added to balance the removed volume. The spectrophotometric assessment was done with Wallac Victor2 1420 multilabel counter spectrophotometer (Turku, Finland). The cumulative permeability value was calculated from the average value of the two parallel spectrophotometer measurement values from which the value of pure medium (i.e., blank) was subtracted. This value was then divided by the total volume of the acceptor side. The dilution effect of the added fresh medium after every hour was taken into account in this step. Finally, this volume-adjusted value was divided by the spectrophotometer value of the exposure medium and multiplied by 100%. 4.14. Enzyme-Linked Immunosorbent Assay After the five-week culture period of hiPSC-RPEs on the 0.3 cm 2 PET insert in different glucose concentrations, the concentration of secreted PEDF was determined 24 h after the medium change with a PEDF Enzyme-Linked Immunosorbent Assay (ELISA, BioVendor, Brno, Czech Republic) according to the manufacturer’s instructions. 4.15. Western Blotting For the Western blotting, the five-week cultured cell samples were washed once with PBS (Lonza Group Ltd., Walkersville, MD, USA) and lysed in M-PER lysis buffer (Thermo Scientific, Waltham, MA, USA) according to the manufacturer’s instructions. A total of 25–30 µ g of whole cell extracts were run in 15 % sodium dodecyl sulphate PAGE (SDS–PAGE) gels, wet-blotted to nitrocellulose membranes (Amersham, Pittsburgh, PA, USA), and the unspecific binding sites on membranes blocked using 3% skimmed milk powder in 0.3 % Tween-20/PBS at RT for 1.5 h. The labelling times and primary antibodies against autophagy specific proteins p62/SQSTM1 and LC3, as well as housekeeping protein α -tubulin, are presented in Table 2. After primary antibody incubations, the membranes were washed three times for 5 min with the same buffer the antibodies were diluted with. The secondary antibodies and dilution factors are presented in Table 2. After staining, similar to the previous washes, the membranes were washed three times for 5 min with the same buffer the antibodies were diluted with. Protein–antibody complexes were detected with an enhanced chemiluminescent assay for horseradish peroxidase (Millipore, Billerica, MA, USA). Table 2. The antibodies and dilution buffers used for Western blotting. Protein Primary Antibody Staining Secondary Antibody Staining Buffer Used for Dilution and Washing Antibody Cat, Producer, Dilution Antibody Producer, Dilution, Time p62 Mouse monoclonal p62 antibody sc-28359, Santa Cruz Biotechnology Inc, CA, USA, 1:1000 Horseradish peroxidase-conjugated anti-mouse IgG GE Healthcare, Little Chalfont, Buckinghamshire, UK, 1:10,000, 2 h 0.5% BSA in 0.3% Tween-20/PBS LC3 Rabbit polyclonal LC3 antibody 3868, Cell Signaling, Danvers, MA, USA, 1:1000 Horseradish peroxidase-conjugated anti-rabbit IgG Novex™, ThermoFisher Scientific, 1:10,000, 2 h 5% BSA in 0.1% Tween-20/TBS (tris-buffered saline) overnight at 4 ◦C α-tubulin Mouse monoclonal alpha-tubulin antibody T5168, Sigma-Aldrich, 1:8000 Horseradish peroxidase-conjugated anti-rabbit IgG GE Healthcare, Little Chalfont, Buckinghamshire, UK, 1:10,000, 1 h 1% milk powder in 0.05 % Tween-20/PBS for 1hrou at RT 4.16. Zymography Medium from the apical and basal compartments was collected 24 hours after the medium change. Zymography was conducted as previously described [ 52 ]. In brief, the medium from the apical and Int. J. Mol. Sci. 2019,20, 3773 20 of 23 basal compartments was collected and 10 L conditioned media was mixed with 20 L nonreducing zymogram sample buffer and loaded into the 0.1% gelatin-containing SDS-PAGE gel (10% Ready Gel; BioRad, München, Germany). After electrophoresis, gels were incubated with renaturation and development buffer (both BioRad). Afterward, gels were stained with Coomassie blue (BioRad) and destained with a destaining solution (BioRad). Digital images of the gels were obtained with a Chemibis chemoluminescence system (Biostep, Jena, Germany). For quantification, the inverted gelatinase bands were analyzed with one-dimensional gel analysis software (TotalLab TL100; TotalLab Ltd., Newcastle, U.K.). The molecular weight and band volume (density) was assessed. When the effects of different glucose and insulin concentrations were compared, the 100 kDa molecular marker (MW) was used as the calibrator. When the effects of cytokine or oxidative stress were evaluated, the b band of the untreated control of the respective MMP was set as 1 (arbitrary unit). 4.17. Statistical Analyses The statistical significance of numerical data were analyzed using PASW Statistics, version 18, with a two tailed Mann–Whitney U test. The number of replicates is indicated in the figure legends. 4.18. Ethical Issues The study was approved by the ethical committee of Pirkanmaa Hospital District (R12123) and written consent was obtained from all fibroblast donors. All the patients were over 18 years old. 5. Conclusions The type 2 diabetic hiPSC-RPE cells exhibited RPE type gene expression and PEDF secretion. Diabetic hiPSC-RPEs had a higher cumulative permeability than normal controls. Added insulin increased the epithelial layer tightness in normal glucose concentrations, and the effect was clearer in type 2 diabetic hiPSC-RPEs than in healthy control hiPSC-RPEs. The preliminary functionality assessment under oxidative stress and autophagy and cytokine stimuli showed that the autophagic stimulation had no effect on LC3-II but induced accumulation of p62/SQSTM1, and cytokine stimuli decreased pro-MMP2 expression and increased pro-MMP9 expression in type 2 diabetic hiPSC-RPEs. These results suggest that the used cell model has potential to study diabetes-derived cellular stress alterations. Supplementary Materials: The following are available online at http://www.mdpi.com/1422-0067/20/15/3773/s1. Author Contributions: Conceptualization, K.J.-U.; methodology, M.K., A.K. (Alexa Klettner), E.R., A.K. (Ali Koskela), A.K. (Arto Koistinen), H.S., K.K., K.A.-S., and K.J.-U.; investigation, M.K., A.K. (Alexa Klettner), ERi, A.K. (Ali Koskela), A.K. (Arto Koistinen), and K.J.-U.; resources, A.K. (Alexa Klettner), A.K. (Arto Koistinen), H.S., K.K., K.A.-S. and K.J.-U.; data curation, K.J.-U.; writing—original draft preparation M.K. and K.J.-U.; writing—review and editing, M.K., A.K. (Alexa Klettner), E.R., AKos, AKoi, H.S., K.K., K.A.-S. and K.J.-U.; visualization, M.K. and K.J.-U.; supervision, K.J.-U.; project administration, K.J.-U.; funding acquisition, K.J.-U., A.K. (Alexa Klettner), H.S., K.K., and K.A.-S. Funding: This work was supported by the Finnish Diabetes Foundation (K.J.-U.), the Eye and Tissue Bank Foundation (K.J.-U.), Evald and Hilda Nissi Foundation (K.J.-U.), Finnish Funding Agency for Technology and Innovation (H.S., K.A.-S.), Health Research Council of the Academy of Finland (H.S., K.K. (grant numbers 218050 and 139567), the Finnish Eye Foundation (K.K.), the Päivikki and Sakari Sohlberg Foundation (K.K.), the Sigrid Juselius Foundation (K.K.), and Kuopio University Hospital VTR-grant (K.K.). Acknowledgments: Jussi Muranen, Markus Haponen, Outi Melin, Hanna Pekkanen, Anne Seppänen, Satu Luhtasela, and Jenni Jouppila are thanked for excellent technical assistance, and Bjarne Udd for providing reagents. The Zeiss AxioScope A1 microscope maintained by Tampere University imaging core was used in imaging. Data was presented in part at the annual meeting of the Association for Research in Vision and Ophthalmology, Baltimore, Maryland, May 9, 2017. Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. Int. J. Mol. Sci. 2019,20, 3773 21 of 23 References 1. Stitt, A.W.; Curtis, T.M.; Chen, M.; Medina, R.J.; McKay, G.J.; Jenkins, A.; Gardiner, T.A.; Lyons, T.J.; Hammes, H.P.; Simo, R.; et al. The progress in understanding and treatment of diabetic retinopathy. Prog. Retin. Eye Res. 2016,51, 156–186. [CrossRef] [PubMed] 2. Murugeswari, P.; Subramani, M.; Jayadev, C.; Shetty, R.; Das, D. Retinal pigment epithelium-secretome: A diabetic retinopathy perspective. Cytokine 2017,95, 126–135. 3. Xia, T.; Rizzolo, L.J. Effects of diabetic retinopathy on the barrier functions of the retinal pigment epithelium. Vision Res. 2017,139, 72–81. [CrossRef] [PubMed] 4. Resnikoff, S.; Pascolini, D.; Etya’ale, D.; Kocur, I.; Pararajasegaram, R.; Pokharel, G.P.; Mariotti, S.P. Global data on visual impairment in the year 2002. Bull. World Health Organ 2004,82, 844–851. [PubMed] 5. Tarr, J.M.; Kaul, K.; Chopra, M.; Kohner, E.M.; Chibber, R. Pathophysiology of diabetic retinopathy. ISRN Ophthalmol. 2013,2013, 343560. [CrossRef] [PubMed] 6. Tarchick, M.J.; Cutler, A.H.; Trobenter, T.D.; Kozlowski, M.R.; Makowski, E.R.; Holoman, N.; Shao, J.; Shen, B.; Anand-Apte, B.; Samuels, I.S. Endogenous insulin signaling in the RPE contributes to the maintenance of rod photoreceptor function in diabetes. Exp. Eye Res. 2019,180, 63–74. [CrossRef] [PubMed] 7. Tenconi, P.E.; Bermudez, V.; Oresti, G.M.; Giusto, N.M.; Salvador, G.A.; Mateos, M.V. High glucose-induced phospholipase D activity in retinal pigment epithelium cells: New insights into the molecular mechanisms of diabetic retinopathy. Exp. Eye Res. 2019,184, 243–257. [CrossRef] [PubMed] 8. Wang, X.N.; Li, S.T.; Li, W.; Hua, Y.J.; Wu, Q. The thickness and volume of the choroid, outer retinal layers and retinal pigment epithelium layer changes in patients with diabetic retinopathy. Int. J. Ophthalmol. 2018 , 11, 1957–1962. 9. Xu, H.Z.; Le, Y.Z. Significance of outer blood-retina barrier breakdown in diabetes and ischemia. Investig. Ophthal. Vis. Sci. 2011,52, 2160–2164. [CrossRef] 10. Villarroel, M.; Garcia-Ramirez, M.; Corraliza, L.; Hernandez, C.; Simo, R. Effects of high glucose concentration on the barrier function and the expression of tight junction proteins in human retinal pigment epithelial cells. Exp. Eye Res. 2009,89, 913–920. [CrossRef] 11. Beasley, S.; El-Sherbiny, M.; Megyerdi, S.; El-Shafey, S.; Choksi, K.; Kaddour-Djebbar, I.; Sheibani, N.; Hsu, S.; Al-Shabrawey, M. Caspase-14 expression impairs retinal pigment epithelium barrier function: Potential role in diabetic macular edema. BioMed Res. Int. 2014,2014, 417986. [CrossRef] 12. Trudeau, K.; Roy, S.; Guo, W.; Hernandez, C.; Villarroel, M.; Simo, R.; Roy, S. Fenofibric acid reduces fibronectin and collagen type IV overexpression in human retinal pigment epithelial cells grown in conditions mimicking the diabetic milieu: Functional implications in retinal permeability. Investig. Ophthalmol. Vis. Sci. 2011,52, 6348–6354. [CrossRef] 13. Qin, D.; Zhang, G.M.; Xu, X.; Wang, L.Y. The PI3K/Akt signaling pathway mediates the high glucose-induced expression of extracellular matrix molecules in human retinal pigment epithelial cells. J. Diabetes Res. 2015, 2015, 920280. [CrossRef] 14. Coral, K.; Madhavan, J.; Pukhraj, R.; Angayarkanni, N. High glucose induced differential expression of lysyl oxidase and its isoform in ARPE-19 cells. Curr. Eye Res. 2013,38, 194–203. [CrossRef] 15. Chen, Y.H.; Chou, H.C.; Lin, S.T.; Chen, Y.W.; Lo, Y.W.; Chan, H.L. Effect of high glucose on secreted proteome in cultured retinal pigmented epithelium cells: Its possible relevance to clinical diabetic retinopathy. J. Proteom. 2012,77, 111–128. [CrossRef] 16. Calado, S.M.; Alves, L.S.; Simao, S.; Silva, G.A. GLUT1 activity contributes to the impairment of PEDF secretion by the RPE. Mol. Vis. 2016,22, 761–770. 17. Farnoodian, M.; Halbach, C.; Slinger, C.; Pattnaik, B.R.; Sorenson, C.M.; Sheibani, N. High glucose promotes the migration of retinal pigment epithelial cells through increased oxidative stress and PEDF expression. Am. J. Physiol. Cell Physiol. 2016,311, C418–C436. [CrossRef] 18. Matteucci, A.; Varano, M.; Mallozzi, C.; Gaddini, L.; Villa, M.; Gabrielli, S.; Formisano, G.; Pricci, F.; Malchiodi-Albedi, F. Primary retinal cultures as a tool for modeling diabetic retinopathy: An overview. BioMed Res. Int. 2015,2015, 364924. [CrossRef] 19. Borooah, S.; Phillips, M.J.; Bilican, B.; Wright, A.F.; Wilmut, I.; Chandran, S.; Gamm, D.; Dhillon, B. Using human induced pluripotent stem cells to treat retinal disease. Prog. Retin. Eye Res. 2013 ,37, 163–181. [CrossRef] Int. J. Mol. Sci. 2019,20, 3773 22 of 23 20. Kaarniranta, K.; Xu, H.; Kauppinen, A. Mechanistical retinal drug targets and challenges. Adv. Drug Deliv. Rev. 2018,126, 177–184. [CrossRef] 21. Johansson, I.; Monsen, V.T.; Pettersen, K.; Mildenberger, J.; Misund, K.; Kaarniranta, K.; Schonberg, S.; Bjorkoy, G. The marine n-3 PUFA DHA evokes cytoprotection against oxidative stress and protein misfolding by inducing autophagy and NFE2L2 in human retinal pigment epithelial cells. Autophagy 2015 ,11, 1636–1651. [CrossRef] 22. Felszeghy, S.; Viiri, J.; Paterno, J.J.; Hyttinen, J.M.T.; Koskela, A.; Chen, M.; Leinonen, H.; Tanila, H.; Kivinen, N.; Koistinen, A.; et al. Loss of NRF-2 and PGC-1alpha genes leads to retinal pigment epithelium damage resembling dry age-related macular degeneration. Redox Biol. 2019,20, 1–12. [CrossRef] 23. Uchiki, T.; Weikel, K.A.; Jiao, W.; Shang, F.; Caceres, A.; Pawlak, D.; Handa, J.T.; Brownlee, M.; Nagaraj, R.; Taylor, A. Glycation-altered proteolysis as a pathobiologic mechanism that links dietary glycemic index, aging, and age-related disease (in nondiabetics). Aging Cell 2012,11, 1–13. [CrossRef] 24. Kikuchi, C.; Bienengraeber, M.; Canfield, S.; Koopmeiner, A.; Schafer, R.; Bosnjak, Z.J.; Bai, X. Comparison of Cardiomyocyte Differentiation Potential Between Type 1 Diabetic Donorand Nondiabetic Donor-Derived Induced Pluripotent Stem Cells. Cell Transplant. 2015,24, 2491–2504. [CrossRef] 25. Shaer, A.; Azarpira, N.; Vahdati, A.; Karimi, M.H.; Shariati, M. Differentiation of human-induced pluripotent stem cells into insulin-producing clusters. Exp. Clin. Transplant. 2015,13, 68–75. 26. Sternisha, S.M.; Miller, B.G. Molecular and cellular regulation of human glucokinase. Arch. Biochem. Biophys. 2019,663, 199–213. [CrossRef] 27. Klaassen, I.; Van Noorden, C.J.; Schlingemann, R.O. Molecular basis of the inner blood-retinal barrier and its breakdown in diabetic macular edema and other pathological conditions. Prog. Retin. Eye Res. 2013 ,34, 19–48. [CrossRef] 28. Maugeri, G.; D’Amico, A.G.; Rasa, D.M.; La Cognata, V.; Saccone, S.; Federico, C.; Cavallaro, S.; D’Agata, V. Nicotine promotes blood retinal barrier damage in a model of human diabetic macular edema. Toxicol. In Vitro 2017,44, 182–189. [CrossRef] 29. Wang, S.; Du, S.; Wu, Q.; Hu, J.; Li, T. Decorin Prevents Retinal Pigment Epithelial Barrier Breakdown Under Diabetic Conditions by Suppressing p38 MAPK Activation. Investig. Ophthalmol. Vis.Sci. 2015 ,56, 2971–2979. [CrossRef] 30. Maugeri, G.; D’Amico, A.G.; Rasa, D.M.; La Cognata, V.; Saccone, S.; Federico, C.; Cavallaro, S.; D’Agata, V. Caffeine Prevents Blood Retinal Barrier Damage in a Model, In Vitro, of Diabetic Macular Edema. J. Cell. Biochem. 2017,118, 2371–2379. [CrossRef] 31. Maugeri, G.; D’Amico, A.G.; Gagliano, C.; Saccone, S.; Federico, C.; Cavallaro, S.; D’Agata, V. VIP Family Members Prevent Outer Blood Retinal Barrier Damage in a Model of Diabetic Macular Edema. J. Cell. Physiol. 2017,232, 1079–1085. [CrossRef] 32. Adamis, A.P.; Shima, D.T.; Yeo, K.T.; Yeo, T.K.; Brown, L.F.; Berse, B.; Damore, P.A.; Folkman, J. Synthesis and Secretion of Vascular-Permeability Factor Vascular Endothelial Growth-Factor by Human Retinal-Pigment Epithelial-Cells. Biochem. Biophys. Res. Commun. 1993,193, 631–638. [CrossRef] 33. Vaajasaari, H.; Ilmarinen, T.; Juuti-Uusitalo, K.; Rajala, K.; Onnela, N.; Narkilahti, S.; Suuronen, R.; Hyttinen, J.; Uusitalo, H.; Skottman, H. Toward the defined and xeno-free differentiation of functional human pluripotent stem cell-derived retinal pigment epithelial cells. Mol. Vis. 2011,17, 558–575. 34. Rosa, M.D.; Distefano, G.; Gagliano, C.; Rusciano, D.; Malaguarnera, L. Autophagy in Diabetic Retinopathy. Curr. Neuropharmacol. 2016,14, 810–825. [CrossRef] 35. Shi, H.; Zhang, Z.; Wang, X.; Li, R.; Hou, W.; Bi, W.; Zhang, X. Inhibition of autophagy induces IL-1beta release from ARPE-19 cells via ROS mediated NLRP3 inflammasome activation under high glucose stress. Biochem. Biophys. Res. Commun. 2015,463, 1071–1076. [CrossRef] 36. Zhang, Y.; Xi, X.; Mei, Y.; Zhao, X.; Zhou, L.; Ma, M.; Liu, S.; Zha, X.; Yang, Y. High-glucose induces retinal pigment epithelium mitochondrial pathways of apoptosis and inhibits mitophagy by regulating ROS/PINK1/Parkin signal pathway. Biomed. Pharmacother. 2019,111, 1315–1325. [CrossRef] 37. Jain, A.; Lamark, T.; Sjottem, E.; Larsen, K.B.; Awuh, J.A.; Overvatn, A.; McMahon, M.; Hayes, J.D.; Johansen, T. p62/SQSTM1 is a target gene for transcription factor NRF2 and creates a positive feedback loop by inducing antioxidant response element-driven gene transcription. J. Biol. Chem. 2010,285, 22576–22591. [CrossRef] Int. J. Mol. Sci. 2019,20, 3773 23 of 23 38. Liu, W.J.; Ye, L.; Huang, W.F.; Guo, L.J.; Xu, Z.G.; Wu, H.L.; Yang, C.; Liu, H.F. p62 links the autophagy pathway and the ubiqutin-proteasome system upon ubiquitinated protein degradation. Cell. Mol. Biol. Lett. 2016,21, 29. [CrossRef] 39. Giebel, S.J.; Menicucci, G.; McGuire, P.G.; Das, A. Matrix metalloproteinases in early diabetic retinopathy and their role in alteration of the blood-retinal barrier. Lab. Investig. 2005,85, 597–607. [CrossRef] 40. Huang, H.; Gandhi, J.K.; Zhong, X.; Wei, Y.; Gong, J.; Duh, E.J.; Vinores, S.A. TNFalpha is required for late BRB breakdown in diabetic retinopathy, and its inhibition prevents leukostasis and protects vessels and neurons from apoptosis. Investig. Ophthalmol. Vis. Sci. 2011,52, 1336–1344. [CrossRef] 41. Abu el Asrar, A.M.; Maimone, D.; Morse, P.H.; Gregory, S.; Reder, A.T. Cytokines in the vitreous of patients with proliferative diabetic retinopathy. Am. J. Ophthalmol. 1992,114, 731–736. [CrossRef] 42. Joussen, A.M.; Poulaki, V.; Dohmen, S.; Koizumi, K.; Kirchhof, B.; Adamis, A.P. Non-steroid alanti-inflammatory drugs prevent early diabetic retinopathy: Aspirinand COX-2 inhibition prevent blood-retinal barrier breakdown and leukocyte adhesion via TNF-asuppression. Investig. Ophthalmol. Vis. Sci. 2002,43, 2969. 43. Ohnuki, M.; Takahashi, K.; Yamanaka, S. Generation and characterization of human induced pluripotent stem cells. Curr. Protocols Stem Cell Biol. 2009,9, 4A-2. 44. Takahashi, K.; Okita, K.; Nakagawa, M.; Yamanaka, S. Induction of pluripotent stem cells from fibroblast cultures. Nat. Protocols 2007,2, 3081–3089. [CrossRef] 45. Manzini, S.; Viiri, L.E.; Marttila, S.; Aalto-Setala, K. A Comparative View on Easy to Deploy non-Integrating Methods for Patient-Specific iPSC Production. Stem Cell Rev. 2015,11, 900–908. [CrossRef] 46. Kiamehr, M.; Viiri, L.E.; Vihervaara, T.; Koistinen, K.M.; Hilvo, M.; Ekroos, K.; Kakela, R.; Aalto-Setala, K. Lipidomic profiling of patient-specific iPSC-derived hepatocyte-like cells. Dis. Model. Mech. 2017 ,10, 1141–1153. [CrossRef] 47. Lund, R.J.; Nikula, T.; Rahkonen, N.; Narva, E.; Baker, D.; Harrison, N.; Andrews, P.; Otonkoski, T.; Lahesmaa, R. High-throughput karyotyping of human pluripotent stem cells. Stem Cell Res. 2012 ,9, 192–195. [CrossRef] 48. Viiri, J.; Amadio, M.; Marchesi, N.; Hyttinen, J.M.; Kivinen, N.; Sironen, R.; Rilla, K.; Akhtar, S.; Provenzani, A.; D’Agostino, V.G.; et al. Autophagy activation clears ELAVL1/HuR-mediated accumulation of SQSTM1/p62 during proteasomal inhibition in human retinal pigment epithelial cells. PLoS ONE 2013 ,8, e69563. [CrossRef] 49. Kiamehr, M.; Alexanova, A.; Viiri, L.E.; Heiskanen, L.; Vihervaara, T.; Kauhanen, D.; Ekroos, K.; Laaksonen, R.; Kakela, R.; Aalto-Setala, K. hiPSC-derived hepatocytes closely mimic the lipid profile of primary hepatocytes: A future personalised cell model for studying the lipid metabolism of the liver. J. Cell. Physiol. 2019 ,234, 3744–3761. [CrossRef] 50. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−∆∆CtMethod. Methods 2001,25, 402–408. [CrossRef] 51. Skottman, H.; Muranen, J.; Lahdekorpi, H.; Pajula, E.; Makela, K.; Koivusalo, L.; Koistinen, A.; Uusitalo, H.; Kaarniranta, K.; Juuti-Uusitalo, K. Contacting co-culture of human retinal microvascular endothelial cells alters barrier function of human embryonic stem cell derived retinal pigment epithelial cells. Exp. Cell Res. 2017,359, 101–111. [CrossRef] 52. Juuti-Uusitalo, K.; Nieminen, M.; Treumer, F.; Ampuja, M.; Kallioniemi, A.; Klettner, A.; Skottman, H. Effects of Cytokine Activation and Oxidative Stress on the Function of the Human Embryonic Stem Cell-Derived Retinal Pigment Epithelial Cells. Investig. Ophthalmol. Vis. Sci. 2015,56, 6265–6274. [CrossRef] © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).